DATE: 2025-12-02 TIME: 21:48:38 run inlist_fast_newuoa_header DATE: 2025-12-02 TIME: 21:48:38 read inlist_fast_newuoa read inlist_astero_search_controls done init_gyre search_type == newuoa next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00 reading user weak rate file /home/jenkins/workspace/mesa_main/data/rates_data/rate_tables/S13_r_be7_wk_li7.h5 version_number 7067e26 WARNING: Failed to find colors namelist in file: inlist read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.726 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953960 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571845 -99.000000 -99.000000 -7.767405 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.871 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515110 -99.000000 -99.000000 -7.738508 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.701 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488594 -99.000000 -99.000000 -7.719977 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.152 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 3.9000E-04 -1.867438 1.472452 -99.000000 -99.000000 -7.707416 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.527 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 4.9000E-04 -1.867438 1.461235 -99.000000 -99.000000 -7.698204 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562815646042354D-01 20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0 7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246319721660051D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -20.896008 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692957329111614D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1127416933281451D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.621787 4325.214 -4.903036 -4.903036 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 457 0 -4.2874E+00 6.621787 0.262613 -99.000000 -6.300784 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 10 2.5959E-04 0.156070 0.023950 -99.000000 -99.000000 -6.899727 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6430086943960755D-13 log_rel_run_E_err -11.5799260947846729 20 6.621787 4338.368 -4.903036 -4.903036 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 455 0 -3.4956E+00 6.621787 0.262629 -99.000000 -6.300785 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 1.8669E-03 0.156071 0.029257 -99.000000 -99.000000 -6.905564 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4232236156451242D-13 log_rel_run_E_err -11.2773307405489689 30 6.621788 4339.522 -4.903037 -4.903037 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 454 0 -2.7037E+00 6.621788 0.262636 -99.000000 -6.300785 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 1.1819E-02 0.156072 0.029733 -99.000000 -99.000000 -6.906078 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6504590314960693D-13 log_rel_run_E_err -11.1023540940295184 40 6.621789 4338.951 -4.903035 -4.903035 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028130 454 0 -1.9119E+00 6.621789 0.262638 -99.000000 -6.300784 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 7.3439E-02 0.156074 0.029508 -99.000000 -99.000000 -6.905831 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6150698848842847D-13 log_rel_run_E_err -10.9789051182993038 50 6.621789 4337.363 -4.903035 -4.903035 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028130 454 0 -1.1201E+00 6.621789 0.262627 -99.000000 -6.300783 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 4.5497E-01 0.156074 0.028851 -20.771070 -99.000000 -6.905122 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6076193958230905D-13 log_rel_run_E_err -10.8820028355120471 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.621789 4337.292 -4.903034 -4.903034 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028130 454 0 -3.2831E-01 6.621789 0.262626 -99.000000 -6.300782 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 2.8173E+00 0.156075 0.028821 -20.470040 -99.000000 -6.905090 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5070389129454778D-13 log_rel_run_E_err -10.8044171842943086 70 6.621790 4337.291 -4.903025 -4.903025 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028126 454 0 4.6351E-01 6.621790 0.262625 -99.000000 -6.300773 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 1.7444E+01 0.156078 0.028819 -20.470040 -99.000000 -6.905088 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6448644429430224D-13 log_rel_run_E_err -10.7376628888230830 80 6.621795 4337.286 -4.902971 -4.902971 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028101 454 0 1.2553E+00 6.621795 0.262620 -99.000000 -6.300719 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 1.0801E+02 0.156096 0.028805 -99.000000 -99.000000 -6.905079 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4622985003591336D-13 log_rel_run_E_err -10.6803471331164790 90 6.621825 4337.251 -4.902637 -4.902637 1.000000 1.000000 0.711274 0.000946 0.270000 -4.027948 454 0 2.0471E+00 6.621825 0.262585 -99.000000 -6.300386 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 2 6.6878E+02 0.156207 0.028721 -20.771070 -99.000000 -6.905021 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.3820107057407416D-13 log_rel_run_E_err -10.6300908703359944 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.622010 4337.033 -4.900574 -4.900574 1.000000 1.000000 0.711274 0.000946 0.270000 -4.027000 454 0 2.8389E+00 6.622010 0.262368 -99.000000 -6.298322 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071946 2 4.1409E+03 0.156894 0.028200 -99.000000 -99.000000 -6.904666 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.3156364546718824D-13 log_rel_run_E_err -10.5847018592693196 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.623149 4335.691 -4.887888 -4.887888 1.000000 1.000000 0.711274 0.000946 0.270000 -4.021153 454 0 3.6308E+00 6.623149 0.261035 -99.000000 -6.285635 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071991 2 2.5639E+04 0.161126 0.024997 -99.000000 -99.000000 -6.902474 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5198631366126011D-13 log_rel_run_E_err -10.5452192604434352 120 6.629865 4327.570 -4.812658 -4.812658 1.000000 1.000000 0.711274 0.000946 0.270000 -3.985727 454 0 4.4226E+00 6.629865 0.253108 -99.000000 -6.210400 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072280 3 1.5875E+05 0.186492 0.005886 -99.000000 -99.000000 -6.889335 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6567973448634004D-13 log_rel_run_E_err -10.4992100181588608 130 6.662087 4285.241 -4.441400 -4.441400 1.000000 1.000000 0.711274 0.000946 0.270000 -3.789459 454 0 5.2144E+00 6.662087 0.213519 -99.000000 -5.839107 -99.000000 0.000000 0.270000 0.008783 0.018726 0.074323 4 9.8295E+05 0.319478 -0.090367 -20.169010 -99.000000 -6.821859 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7125420797787557D-13 log_rel_run_E_err -10.2076433343135982 140 6.750234 4220.861 -3.420425 -3.420425 1.000000 1.000000 0.711271 0.000946 0.269999 -3.080459 467 0 5.8515E+00 6.750234 0.109731 -99.000000 -4.817927 -99.000000 0.000000 0.270003 0.008783 0.018726 0.084830 4 5.4698E+06 0.756201 -0.324240 -18.788798 -99.000000 -6.662570 0.000000 0.003227 0.001952 0.018726 0.000E+00 varcontrol rel_E_err 2.4149183749962984D-13 log_rel_run_E_err -10.2924951742543431 150 6.870414 4547.321 -2.235290 -2.235290 1.000000 1.000000 0.711257 0.000946 0.269993 -2.206973 473 0 6.0296E+00 6.870414 0.037617 -99.000000 -3.632067 -99.000000 0.000000 0.270017 0.008783 0.018725 0.098149 4 1.4781E+07 1.306737 -0.339049 -17.362830 -99.000000 -6.716472 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.1370653627392204D-13 log_rel_run_E_err -10.3293110477619638 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.048696 5398.477 -0.802698 -0.802698 1.000000 1.000000 0.711085 0.000964 0.269971 -1.544593 491 0 6.1767E+00 7.048696 0.015298 -51.648608 -2.245446 -99.000000 0.000000 0.270186 0.008784 0.018724 0.098661 5 2.6492E+07 1.848190 -0.085625 -16.556650 -99.000000 -6.845417 0.000000 0.003212 0.001952 0.018730 0.000E+00 lgRho_cntr rel_E_err 1.6786626256898818D-13 log_rel_run_E_err -10.4728617691251014 (age_target - star_age)/age_sigma 169 694.4614868121 reducing max timestep prior to age target 169 4.5139996642784843D+09 170 7.130742 5564.035 -0.160677 -0.160677 1.000000 1.000000 0.709166 0.003079 0.269749 -1.723289 518 0 6.8569E+00 7.130742 -0.048015 -47.224961 -1.757507 -99.000000 0.000000 0.271798 0.008785 0.018711 0.085089 5 6.2693E+07 1.899153 -0.159777 -99.000000 -99.000000 -6.806413 0.000000 0.001400 0.001953 0.019036 0.000E+00 max increase rel_E_err 2.0769720685571814D-13 log_rel_run_E_err -10.5039823618923052 (age_target - star_age)/age_sigma 176 680.1699322209 reducing max timestep prior to age target 176 4.4211045594359932D+09 (age_target - star_age)/age_sigma 179 665.7379903756 reducing max timestep prior to age target 179 4.3272969374413128D+09 180 7.131307 5583.996 -0.143677 -0.143677 1.000000 1.000000 0.694446 0.004706 0.268281 -1.673885 507 0 7.6487E+00 7.131307 -0.043046 -47.089020 -1.799023 -99.000000 0.000000 0.286257 0.008797 0.018621 0.087384 10 2.8674E+08 1.923966 -0.143617 -99.000000 -99.000000 -6.816863 0.000000 0.000014 0.001956 0.019297 0.000E+00 max increase rel_E_err 1.8220106493059736D-13 log_rel_run_E_err -10.4809392542560005 (age_target - star_age)/age_sigma 181 650.6653337494 reducing max timestep prior to age target 181 4.2293246693712630D+09 (age_target - star_age)/age_sigma 182 640.7995948668 reducing max timestep prior to age target 182 4.1651973666345038D+09 (age_target - star_age)/age_sigma 184 616.6417643501 reducing max timestep prior to age target 184 4.0081714682754126D+09 (age_target - star_age)/age_sigma 185 604.5691993695 reducing max timestep prior to age target 185 3.9296997959019327D+09 (age_target - star_age)/age_sigma 186 592.7380856886 reducing max timestep prior to age target 186 3.8527975569759226D+09 (age_target - star_age)/age_sigma 187 581.1435942813 reducing max timestep prior to age target 187 3.7774333628284321D+09 (age_target - star_age)/age_sigma 188 569.7809927021 reducing max timestep prior to age target 188 3.7035764525638919D+09 (age_target - star_age)/age_sigma 189 558.6456431546 reducing max timestep prior to age target 189 3.6311966805046420D+09 190 7.139495 5602.779 -0.121902 -0.121902 1.000000 1.000000 0.640086 0.004747 0.263586 -1.652398 512 0 7.8508E+00 7.139495 -0.035069 -46.413928 -1.784932 -99.000000 0.000000 0.340515 0.008828 0.018331 0.090978 10 1.0092E+09 1.959105 -0.121830 -99.000000 -99.000000 -6.831122 0.000000 0.000014 0.001966 0.019398 0.000E+00 max_dt rel_E_err 1.9807698725908645D-13 log_rel_run_E_err -10.4584019326807383 (age_target - star_age)/age_sigma 190 547.7330005979 reducing max timestep prior to age target 190 3.5602645038865776D+09 (age_target - star_age)/age_sigma 191 537.0386108924 reducing max timestep prior to age target 191 3.4907509708008742D+09 (age_target - star_age)/age_sigma 192 526.5581089811 reducing max timestep prior to age target 192 3.4226277083768854D+09 (age_target - star_age)/age_sigma 193 516.2872171079 reducing max timestep prior to age target 193 3.3558669112013760D+09 (age_target - star_age)/age_sigma 194 506.2217430722 reducing max timestep prior to age target 194 3.2904413299693766D+09 (age_target - star_age)/age_sigma 195 496.3575785172 reducing max timestep prior to age target 195 3.2263242603620176D+09 (age_target - star_age)/age_sigma 196 486.6906972534 reducing max timestep prior to age target 196 3.1634895321468053D+09 (age_target - star_age)/age_sigma 197 477.2171536148 reducing max timestep prior to age target 197 3.1019114984958973D+09 (age_target - star_age)/age_sigma 198 467.9330808489 reducing max timestep prior to age target 198 3.0415650255180082D+09 (age_target - star_age)/age_sigma 199 458.8346895384 reducing max timestep prior to age target 199 2.9824254819996758D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.147453 5618.243 -0.103213 -0.103213 1.000000 1.000000 0.591153 0.004789 0.259502 -1.633473 512 0 7.7631E+00 7.147453 -0.028117 -45.803772 -1.763983 -99.000000 0.000000 0.389362 0.008845 0.018076 0.094504 10 1.6450E+09 1.991850 -0.103139 -99.000000 -99.000000 -6.843948 0.000000 0.000015 0.001974 0.019485 0.000E+00 max_dt rel_E_err 1.8205765461597389D-13 log_rel_run_E_err -10.4368638828046070 (age_target - star_age)/age_sigma 200 449.9182660541 reducing max timestep prior to age target 200 2.9244687293517108D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.1801710395 reducing max timestep prior to age target 201 2.8676711117567053D+09 (age_target - star_age)/age_sigma 202 432.6168379252 reducing max timestep prior to age target 202 2.8120094465135994D+09 (age_target - star_age)/age_sigma 203 424.2247714731 reducing max timestep prior to age target 203 2.7574610145753555D+09 (age_target - star_age)/age_sigma 204 416.0005463501 reducing max timestep prior to age target 204 2.7040035512758770D+09 (age_target - star_age)/age_sigma 205 407.9408057296 reducing max timestep prior to age target 205 2.6516152372423878D+09 (age_target - star_age)/age_sigma 206 400.0422599215 reducing max timestep prior to age target 206 2.6002746894895678D+09 (age_target - star_age)/age_sigma 207 392.3016850295 reducing max timestep prior to age target 207 2.5499609526918049D+09 (age_target - star_age)/age_sigma 208 384.7159216354 reducing max timestep prior to age target 208 2.5006534906299973D+09 (age_target - star_age)/age_sigma 209 377.2818735091 reducing max timestep prior to age target 209 2.4523321778094254D+09 210 7.154393 5630.520 -0.087536 -0.087536 1.000000 1.000000 0.550563 0.004831 0.256246 -1.616765 514 0 7.6754E+00 7.154393 -0.022175 -45.292861 -1.744569 -99.000000 0.000000 0.429885 0.008849 0.017873 0.097724 10 2.1645E+09 2.020226 -0.087463 -99.000000 -99.000000 -6.854868 0.000000 0.000016 0.001981 0.019552 0.000E+00 max_dt rel_E_err 1.8649715152296568D-13 log_rel_run_E_err -10.4161258472685869 (age_target - star_age)/age_sigma 210 369.9965063454 reducing max timestep prior to age target 210 2.4049772912452655D+09 (age_target - star_age)/age_sigma 211 362.8568465250 reducing max timestep prior to age target 211 2.3585695024123883D+09 (age_target - star_age)/age_sigma 212 355.8599799009 reducing max timestep prior to age target 212 2.3130898693561687D+09 (age_target - star_age)/age_sigma 213 349.0030506094 reducing max timestep prior to age target 213 2.2685198289610739D+09 (age_target - star_age)/age_sigma 214 342.2832599037 reducing max timestep prior to age target 214 2.2248411893738809D+09 (age_target - star_age)/age_sigma 215 335.6978650121 reducing max timestep prior to age target 215 2.1820361225784316D+09 (age_target - star_age)/age_sigma 217 322.7904910245 reducing max timestep prior to age target 217 2.0981381916593513D+09 (age_target - star_age)/age_sigma 218 316.4658777706 reducing max timestep prior to age target 218 2.0570282055090017D+09 (age_target - star_age)/age_sigma 219 310.2677567818 reducing max timestep prior to age target 219 2.0167404190816593D+09 220 7.160429 5640.405 -0.074267 -0.074267 1.000000 1.000000 0.516686 0.004873 0.253541 -1.602060 513 0 7.5964E+00 7.160429 -0.017065 -44.861720 -1.727167 -99.000000 0.000000 0.463708 0.008843 0.017705 0.100648 10 2.5922E+09 2.044804 -0.074195 -99.000000 -99.000000 -6.864196 0.000000 0.000016 0.001987 0.019606 0.000E+00 max_dt rel_E_err 1.8734296579576863D-13 log_rel_run_E_err -10.3963079812441102 (age_target - star_age)/age_sigma 220 304.1935982127 reducing max timestep prior to age target 220 1.9772583883828635D+09 (age_target - star_age)/age_sigma 221 298.2409228151 reducing max timestep prior to age target 221 1.9385659982980437D+09 (age_target - star_age)/age_sigma 222 292.4073009254 reducing max timestep prior to age target 222 1.9006474560149207D+09 (age_target - star_age)/age_sigma 223 286.6903514735 reducing max timestep prior to age target 223 1.8634872845774598D+09 (age_target - star_age)/age_sigma 224 281.0877410106 reducing max timestep prior to age target 224 1.8270703165687485D+09 (age_target - star_age)/age_sigma 225 275.5971827570 reducing max timestep prior to age target 225 1.7913816879202108D+09 (age_target - star_age)/age_sigma 226 270.2164356684 reducing max timestep prior to age target 226 1.7564068318446441D+09 (age_target - star_age)/age_sigma 227 264.9433035216 reducing max timestep prior to age target 227 1.7221314728905888D+09 (age_target - star_age)/age_sigma 228 259.7756340178 reducing max timestep prior to age target 228 1.6885416211156149D+09 (age_target - star_age)/age_sigma 229 254.7113179040 reducing max timestep prior to age target 229 1.6556235663761401D+09 230 7.165666 5648.192 -0.063027 -0.063027 1.000000 1.000000 0.488307 0.004915 0.251320 -1.589186 512 0 7.5087E+00 7.165666 -0.012644 -44.496276 -1.711756 -99.000000 0.000000 0.492045 0.008829 0.017567 0.103283 10 2.9461E+09 2.066060 -0.062957 -15.653560 -99.000000 -6.872147 0.000000 0.000017 0.001992 0.019647 0.000E+00 max_dt rel_E_err 1.8160664100541862D-13 log_rel_run_E_err -10.3774291122382287 (age_target - star_age)/age_sigma 230 249.7482881125 reducing max timestep prior to age target 230 1.6233638727314548D+09 (age_target - star_age)/age_sigma 231 244.8845189169 reducing max timestep prior to age target 231 1.5917493729596634D+09 (age_target - star_age)/age_sigma 232 240.1180251051 reducing max timestep prior to age target 232 1.5607671631833076D+09 (age_target - star_age)/age_sigma 233 235.4468611696 reducing max timestep prior to age target 233 1.5304045976024795D+09 (age_target - star_age)/age_sigma 234 230.8691205128 reducing max timestep prior to age target 234 1.5006492833332672D+09 (age_target - star_age)/age_sigma 235 226.3829346691 reducing max timestep prior to age target 235 1.4714890753494396D+09 (age_target - star_age)/age_sigma 236 221.9864725424 reducing max timestep prior to age target 236 1.4429120715252881D+09 (age_target - star_age)/age_sigma 237 217.6779396581 reducing max timestep prior to age target 237 1.4149066077776203D+09 (age_target - star_age)/age_sigma 238 213.4555774315 reducing max timestep prior to age target 238 1.3874612533049054D+09 (age_target - star_age)/age_sigma 239 209.3176624495 reducing max timestep prior to age target 239 1.3605648059216447D+09 240 7.170115 5654.413 -0.053654 -0.053654 1.000000 1.000000 0.464861 0.004956 0.249558 -1.578185 515 0 7.4209E+00 7.170115 -0.008915 -44.191056 -1.698424 -99.000000 0.000000 0.515459 0.008809 0.017458 0.105600 10 3.2353E+09 2.084061 -0.053586 -15.477469 -99.000000 -6.878799 0.000000 0.000017 0.001996 0.019680 0.000E+00 max_dt rel_E_err 2.0017580602942128D-13 log_rel_run_E_err -10.3590981372287558 (age_target - star_age)/age_sigma 240 205.2625057671 reducing max timestep prior to age target 240 1.3342062874860497D+09 (age_target - star_age)/age_sigma 241 201.2884522183 reducing max timestep prior to age target 241 1.3083749394191661D+09 (age_target - star_age)/age_sigma 242 197.3938797406 reducing max timestep prior to age target 242 1.2830602183136201D+09 (age_target - star_age)/age_sigma 243 193.5771987123 reducing max timestep prior to age target 243 1.2582517916301851D+09 (age_target - star_age)/age_sigma 244 189.8368513047 reducing max timestep prior to age target 244 1.2339395334804192D+09 (age_target - star_age)/age_sigma 245 186.1713108452 reducing max timestep prior to age target 245 1.2101135204936485D+09 (age_target - star_age)/age_sigma 246 182.5790811949 reducing max timestep prior to age target 246 1.1867640277666135D+09 (age_target - star_age)/age_sigma 247 179.0586961376 reducing max timestep prior to age target 247 1.1638815248941188D+09 (age_target - star_age)/age_sigma 248 175.6087187814 reducing max timestep prior to age target 248 1.1414566720790739D+09 (age_target - star_age)/age_sigma 249 172.2277409724 reducing max timestep prior to age target 249 1.1194803163203297D+09 250 7.173870 5659.388 -0.045862 -0.045862 1.000000 1.000000 0.445516 0.004994 0.248034 -1.568847 515 0 7.3332E+00 7.173870 -0.005784 -43.936925 -1.686995 -99.000000 0.000000 0.534779 0.008786 0.017364 0.107617 10 3.4716E+09 2.099224 -0.045796 -99.000000 -99.000000 -6.884350 0.000000 0.000018 0.001999 0.019705 0.000E+00 max_dt rel_E_err 1.8172224236974728D-13 log_rel_run_E_err -10.3414172770385182 (age_target - star_age)/age_sigma 250 168.9143827195 reducing max timestep prior to age target 250 1.0979434876767607D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 252 162.4202005439 reducing max timestep prior to age target 252 1.0557313035353661D+09 (age_target - star_age)/age_sigma 253 159.2380512779 reducing max timestep prior to age target 253 1.0350473333060822D+09 (age_target - star_age)/age_sigma 254 156.1195449971 reducing max timestep prior to age target 254 1.0147770424813843D+09 (age_target - star_age)/age_sigma 255 153.0634088420 reducing max timestep prior to age target 255 9.9491215747318029D+08 (age_target - star_age)/age_sigma 256 150.0683954100 reducing max timestep prior to age target 256 9.7544457016514015D+08 (age_target - star_age)/age_sigma 257 147.1332822467 reducing max timestep prior to age target 257 9.5636633460326099D+08 (age_target - star_age)/age_sigma 258 144.2568713466 reducing max timestep prior to age target 258 9.3766966375261927D+08 (age_target - star_age)/age_sigma 259 141.4379886645 reducing max timestep prior to age target 259 9.1934692631899071D+08 260 7.177082 5663.386 -0.039294 -0.039294 1.000000 1.000000 0.429284 0.005030 0.246799 -1.560818 515 0 7.2542E+00 7.177082 -0.003114 -43.722024 -1.677101 -99.000000 0.000000 0.550992 0.008762 0.017287 0.109389 10 3.6681E+09 2.112175 -0.039229 -99.000000 -99.000000 -6.889026 0.000000 0.000018 0.002001 0.019725 0.000E+00 max_dt rel_E_err 1.8751543100600232D-13 log_rel_run_E_err -10.3244374128723280 (age_target - star_age)/age_sigma 260 138.6754836360 reducing max timestep prior to age target 260 9.0139064363403463D+08 (age_target - star_age)/age_sigma 261 135.9682287081 reducing max timestep prior to age target 261 8.8379348660277748D+08 (age_target - star_age)/age_sigma 262 133.3151188788 reducing max timestep prior to age target 262 8.6654827271214533D+08 (age_target - star_age)/age_sigma 263 130.7150712461 reducing max timestep prior to age target 263 8.4964796309932613D+08 (age_target - star_age)/age_sigma 264 128.1670245660 reducing max timestep prior to age target 264 8.3308565967876339D+08 (age_target - star_age)/age_sigma 265 125.6699388195 reducing max timestep prior to age target 265 8.1685460232661200D+08 (age_target - star_age)/age_sigma 266 123.2227947879 reducing max timestep prior to age target 266 8.0094816612150335D+08 (age_target - star_age)/age_sigma 267 120.8245936370 reducing max timestep prior to age target 267 7.8535985864049673D+08 (age_target - star_age)/age_sigma 268 118.4743565091 reducing max timestep prior to age target 268 7.7008331730911064D+08 (age_target - star_age)/age_sigma 269 116.1711241237 reducing max timestep prior to age target 269 7.5511230680435181D+08 270 7.179778 5666.608 -0.033840 -0.033840 1.000000 1.000000 0.415891 0.005064 0.245807 -1.554074 522 0 7.1665E+00 7.179778 -0.000882 -43.543346 -1.668708 -99.000000 0.000000 0.564369 0.008737 0.017225 0.110908 10 3.8291E+09 2.123020 -0.033778 -15.000347 -99.000000 -6.892913 0.000000 0.000018 0.002003 0.019740 0.000E+00 max_dt rel_E_err 1.9141156035273438D-13 log_rel_run_E_err -10.3079172229081912 (age_target - star_age)/age_sigma 270 113.9139563861 reducing max timestep prior to age target 270 7.4044071650968838D+08 (age_target - star_age)/age_sigma 271 111.7019320032 reducing max timestep prior to age target 271 7.2606255802091837D+08 (age_target - star_age)/age_sigma 272 109.5341481080 reducing max timestep prior to age target 272 7.1197196270192337D+08 (age_target - star_age)/age_sigma 273 107.4097198907 reducing max timestep prior to age target 273 6.9816317928930855D+08 (age_target - star_age)/age_sigma 274 105.3277802377 reducing max timestep prior to age target 274 6.8463057154494619D+08 (age_target - star_age)/age_sigma 275 103.2874793778 reducing max timestep prior to age target 275 6.7136861595547104D+08 (age_target - star_age)/age_sigma 276 101.2879845350 reducing max timestep prior to age target 276 6.5837189947778511D+08 (age_target - star_age)/age_sigma 277 99.3284795892 reducing max timestep prior to age target 277 6.4563511732965279D+08 (age_target - star_age)/age_sigma 278 97.4081647422 reducing max timestep prior to age target 278 6.3315307082448339D+08 (age_target - star_age)/age_sigma 279 95.5262561922 reducing max timestep prior to age target 279 6.2092066524941730D+08 280 7.182023 5669.128 -0.029357 -0.029357 1.000000 1.000000 0.404877 0.005094 0.245007 -1.548429 522 0 7.0787E+00 7.182023 0.000972 -43.395614 -1.661670 -99.000000 0.000000 0.575371 0.008714 0.017175 0.112199 5 3.9606E+09 2.132052 -0.029296 -99.000000 -99.000000 -6.896095 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 2.0259370734150008D-13 log_rel_run_E_err -10.2915102187491136 (age_target - star_age)/age_sigma 280 93.6819858132 reducing max timestep prior to age target 280 6.0893290778585243D+08 (age_target - star_age)/age_sigma 281 91.8746008418 reducing max timestep prior to age target 281 5.9718490547155857D+08 (age_target - star_age)/age_sigma 282 90.1033635698 reducing max timestep prior to age target 282 5.8567186320355129D+08 (age_target - star_age)/age_sigma 283 88.3675510432 reducing max timestep prior to age target 283 5.7438908178090334D+08 (age_target - star_age)/age_sigma 284 86.6664547672 reducing max timestep prior to age target 284 5.6333195598670912D+08 (age_target - star_age)/age_sigma 285 84.9993804167 reducing max timestep prior to age target 285 5.5249597270839882D+08 (age_target - star_age)/age_sigma 287 81.7319146897 reducing max timestep prior to age target 287 5.3125744548291016D+08 (age_target - star_age)/age_sigma 288 80.1308564834 reducing max timestep prior to age target 288 5.2085056714242077D+08 (age_target - star_age)/age_sigma 289 78.5618194413 reducing max timestep prior to age target 289 5.1065182636874151D+08 290 7.183903 5671.155 -0.025640 -0.025640 1.000000 1.000000 0.395759 0.005121 0.244356 -1.543695 522 0 6.9998E+00 7.183903 0.002520 -43.272676 -1.655741 -99.000000 0.000000 0.584480 0.008692 0.017135 0.113297 6 4.0688E+09 2.139607 -0.025580 -15.954590 -99.000000 -6.898729 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 2.0055977895208568D-13 log_rel_run_E_err -10.2757739455173063 (age_target - star_age)/age_sigma 290 77.0241631401 reducing max timestep prior to age target 290 5.0065706041053534D+08 (age_target - star_age)/age_sigma 291 75.5172599648 reducing max timestep prior to age target 291 4.9086218977149343D+08 (age_target - star_age)/age_sigma 292 74.0404948531 reducing max timestep prior to age target 292 4.8126321654523230D+08 (age_target - star_age)/age_sigma 293 72.5932650436 reducing max timestep prior to age target 293 4.7185622278349638D+08 (age_target - star_age)/age_sigma 294 71.1749798303 reducing max timestep prior to age target 294 4.6263736889699507D+08 (age_target - star_age)/age_sigma 295 69.7850603213 reducing max timestep prior to age target 295 4.5360289208822346D+08 (age_target - star_age)/age_sigma 296 68.4229392024 reducing max timestep prior to age target 296 4.4474910481562805D+08 (age_target - star_age)/age_sigma 297 67.0880605059 reducing max timestep prior to age target 297 4.3607239328848410D+08 (age_target - star_age)/age_sigma 298 65.7798793834 reducing max timestep prior to age target 298 4.2756921599188328D+08 (age_target - star_age)/age_sigma 299 64.4978618833 reducing max timestep prior to age target 299 4.1923610224121428D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.185481 5672.792 -0.022545 -0.022545 1.000000 1.000000 0.388179 0.005144 0.243822 -1.539733 522 0 6.9120E+00 7.185481 0.003816 -43.170018 -1.650739 -99.000000 0.000000 0.592053 0.008672 0.017101 0.114231 5 4.1584E+09 2.145933 -0.022487 -15.352530 -99.000000 -6.900918 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.8895172181281022D-13 log_rel_run_E_err -10.2604992130019550 (age_target - star_age)/age_sigma 300 63.2414847332 reducing max timestep prior to age target 300 4.1106965076555872D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0102351261 reducing max timestep prior to age target 301 4.0306652831941652D+08 (age_target - star_age)/age_sigma 302 60.8036105111 reducing max timestep prior to age target 302 3.9522346832219696D+08 (age_target - star_age)/age_sigma 303 59.6211183884 reducing max timestep prior to age target 303 3.8753726952492142D+08 (age_target - star_age)/age_sigma 304 58.4622761082 reducing max timestep prior to age target 304 3.8000479470359182D+08 (age_target - star_age)/age_sigma 305 57.3266106736 reducing max timestep prior to age target 305 3.7262296937868834D+08 (age_target - star_age)/age_sigma 306 56.2136585477 reducing max timestep prior to age target 306 3.6538878056028318D+08 (age_target - star_age)/age_sigma 307 55.1229654643 reducing max timestep prior to age target 307 3.5829927551824617D+08 (age_target - star_age)/age_sigma 308 54.0540862426 reducing max timestep prior to age target 308 3.5135156057705021D+08 (age_target - star_age)/age_sigma 309 53.0065846053 reducing max timestep prior to age target 309 3.4454279993467808D+08 310 7.186785 5674.117 -0.020002 -0.020002 1.000000 1.000000 0.381960 0.005165 0.243360 -1.536458 522 0 6.8243E+00 7.186785 0.004885 -43.085508 -1.646585 -99.000000 0.000000 0.598266 0.008654 0.017073 0.115011 5 4.2316E+09 2.151154 -0.019944 -15.352530 -99.000000 -6.902721 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.7331917786321836D-13 log_rel_run_E_err -10.2457337514227937 (age_target - star_age)/age_sigma 310 51.9800330008 reducing max timestep prior to age target 310 3.3787021450515318D+08 (age_target - star_age)/age_sigma 311 50.9740124283 reducing max timestep prior to age target 311 3.3133108078421879D+08 (age_target - star_age)/age_sigma 312 49.9881122673 reducing max timestep prior to age target 312 3.2492272973770332D+08 (age_target - star_age)/age_sigma 313 49.0219301096 reducing max timestep prior to age target 313 3.1864254571211815D+08 (age_target - star_age)/age_sigma 314 48.0750715949 reducing max timestep prior to age target 314 3.1248796536704445D+08 (age_target - star_age)/age_sigma 315 47.1471502506 reducing max timestep prior to age target 315 3.0645647662887239D+08 (age_target - star_age)/age_sigma 316 46.2377873331 reducing max timestep prior to age target 316 3.0054561766546345D+08 (age_target - star_age)/age_sigma 317 45.3466116740 reducing max timestep prior to age target 317 2.9475297588132286D+08 (age_target - star_age)/age_sigma 318 44.4732595281 reducing max timestep prior to age target 318 2.8907618693286467D+08 (age_target - star_age)/age_sigma 319 43.6173744251 reducing max timestep prior to age target 319 2.8351293376337624D+08 320 7.187860 5675.182 -0.017915 -0.017915 1.000000 1.000000 0.376862 0.005182 0.242980 -1.533760 522 0 6.7366E+00 7.187860 0.005764 -43.016019 -1.643145 -99.000000 0.000000 0.603359 0.008639 0.017049 0.115660 5 4.2914E+09 2.155456 -0.017858 -99.000000 -99.000000 -6.904202 0.000000 0.000020 0.002009 0.019779 0.000E+00 max_dt rel_E_err 1.9330054485655292D-13 log_rel_run_E_err -10.2316748884170288 (age_target - star_age)/age_sigma 321 41.9398396233 reducing max timestep prior to age target 321 2.7260895755117893D+08 (age_target - star_age)/age_sigma 322 41.1178475703 reducing max timestep prior to age target 322 2.6726600920720196D+08 (age_target - star_age)/age_sigma 323 40.3122953585 reducing max timestep prior to age target 323 2.6202991983010387D+08 (age_target - star_age)/age_sigma 324 39.5228541909 reducing max timestep prior to age target 324 2.5689855224054909D+08 (age_target - star_age)/age_sigma 325 38.7492018466 reducing max timestep prior to age target 325 2.5186981200278473D+08 (age_target - star_age)/age_sigma 326 37.9910225492 reducing max timestep prior to age target 326 2.4694164656977654D+08 (age_target - star_age)/age_sigma 327 37.2480068378 reducing max timestep prior to age target 327 2.4211204444542789D+08 (age_target - star_age)/age_sigma 328 36.5198514405 reducing max timestep prior to age target 328 2.3737903436356544D+08 (age_target - star_age)/age_sigma 329 35.8062591513 reducing max timestep prior to age target 329 2.3274068448334122D+08 330 7.188764 5676.059 -0.016170 -0.016170 1.000000 1.000000 0.372600 0.005198 0.242666 -1.531495 522 0 6.6576E+00 7.188764 0.006503 -42.957777 -1.640246 -99.000000 0.000000 0.607618 0.008625 0.017029 0.116210 5 4.3413E+09 2.159068 -0.016113 -15.954590 -99.000000 -6.905439 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.9176118877570013D-13 log_rel_run_E_err -10.2180759178417677 (age_target - star_age)/age_sigma 330 35.1069387078 reducing max timestep prior to age target 330 2.2819510160072136D+08 (age_target - star_age)/age_sigma 331 34.4216046732 reducing max timestep prior to age target 331 2.2374043037575340D+08 (age_target - star_age)/age_sigma 332 33.7499773193 reducing max timestep prior to age target 332 2.1937485257528496D+08 (age_target - star_age)/age_sigma 333 33.0917825124 reducing max timestep prior to age target 333 2.1509658633082581D+08 (age_target - star_age)/age_sigma 334 32.4467516017 reducing max timestep prior to age target 334 2.1090388541125584D+08 (age_target - star_age)/age_sigma 335 31.8146213092 reducing max timestep prior to age target 335 2.0679503851007748D+08 (age_target - star_age)/age_sigma 336 31.1951336226 reducing max timestep prior to age target 336 2.0276836854692364D+08 (age_target - star_age)/age_sigma 337 30.5880356897 reducing max timestep prior to age target 337 1.9882223198303127D+08 (age_target - star_age)/age_sigma 338 29.9930797154 reducing max timestep prior to age target 338 1.9495501815041733D+08 (age_target - star_age)/age_sigma 339 29.4100228607 reducing max timestep prior to age target 339 1.9116514859445572D+08 340 7.189507 5676.767 -0.014740 -0.014740 1.000000 1.000000 0.369110 0.005210 0.242411 -1.529633 522 0 6.5699E+00 7.189507 0.007109 -42.909981 -1.637856 -99.000000 0.000000 0.611105 0.008614 0.017014 0.116665 5 4.3820E+09 2.162036 -0.014684 -15.653560 -99.000000 -6.906452 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt rel_E_err 1.8703614732823225D-13 log_rel_run_E_err -10.2048017804217430 (age_target - star_age)/age_sigma 340 28.8386271430 reducing max timestep prior to age target 340 1.8745107642961311D+08 (age_target - star_age)/age_sigma 341 28.2786593397 reducing max timestep prior to age target 341 1.8381128570806789D+08 (age_target - star_age)/age_sigma 342 27.7298908925 reducing max timestep prior to age target 342 1.8024429080095387D+08 (age_target - star_age)/age_sigma 343 27.1920978142 reducing max timestep prior to age target 343 1.7674863579198074D+08 (age_target - star_age)/age_sigma 344 26.6650605974 reducing max timestep prior to age target 344 1.7332289388318825D+08 (age_target - star_age)/age_sigma 345 26.1485641250 reducing max timestep prior to age target 345 1.6996566681257153D+08 (age_target - star_age)/age_sigma 346 25.6423975821 reducing max timestep prior to age target 346 1.6667558428336620D+08 (age_target - star_age)/age_sigma 347 25.1463543700 reducing max timestep prior to age target 347 1.6345130340474606D+08 (age_target - star_age)/age_sigma 348 24.6602320221 reducing max timestep prior to age target 348 1.6029150814369774D+08 (age_target - star_age)/age_sigma 349 24.1838321212 reducing max timestep prior to age target 349 1.5719490878787041D+08 350 7.190118 5677.340 -0.013569 -0.013569 1.000000 1.000000 0.366252 0.005221 0.242204 -1.528104 522 0 6.4821E+00 7.190118 0.007607 -42.870787 -1.635888 -99.000000 0.000000 0.613961 0.008604 0.017001 0.117041 5 4.4153E+09 2.164473 -0.013514 -15.653560 -99.000000 -6.907280 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.8146794009837520D-13 log_rel_run_E_err -10.1921993484224132 (age_target - star_age)/age_sigma 350 23.7169602183 reducing max timestep prior to age target 350 1.5416024141916084D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2594257535 reducing max timestep prior to age target 351 1.5118626739782429D+08 (age_target - star_age)/age_sigma 352 22.8110419780 reducing max timestep prior to age target 352 1.4827177285691452D+08 (age_target - star_age)/age_sigma 353 22.3716258780 reducing max timestep prior to age target 353 1.4541556820682240D+08 (age_target - star_age)/age_sigma 354 21.9409981000 reducing max timestep prior to age target 354 1.4261648764973259D+08 (age_target - star_age)/age_sigma 355 21.5189828775 reducing max timestep prior to age target 355 1.3987338870378494D+08 (age_target - star_age)/age_sigma 357 20.6918330415 reducing max timestep prior to age target 357 1.3449691476972675D+08 (age_target - star_age)/age_sigma 358 20.2865296219 reducing max timestep prior to age target 358 1.3186244254203892D+08 (age_target - star_age)/age_sigma 359 19.8893322706 reducing max timestep prior to age target 359 1.2928065975890350D+08 360 7.190623 5677.808 -0.012603 -0.012603 1.000000 1.000000 0.363895 0.005230 0.242035 -1.526840 522 0 6.4031E+00 7.190623 0.008018 -42.838421 -1.634258 -99.000000 0.000000 0.616315 0.008596 0.016990 0.117354 5 4.4427E+09 2.166487 -0.012548 -15.954590 -99.000000 -6.907962 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.9060113231089277D-13 log_rel_run_E_err -10.1799574233552779 (age_target - star_age)/age_sigma 360 19.5000788664 reducing max timestep prior to age target 360 1.2675051263143158D+08 (age_target - star_age)/age_sigma 361 19.1186105302 reducing max timestep prior to age target 361 1.2427096844650936D+08 (age_target - star_age)/age_sigma 362 18.7447715608 reducing max timestep prior to age target 362 1.2184101514528561D+08 (age_target - star_age)/age_sigma 363 18.3784093708 reducing max timestep prior to age target 363 1.1945966091008568D+08 (age_target - star_age)/age_sigma 364 18.0193744246 reducing max timestep prior to age target 364 1.1712593375959015D+08 (age_target - star_age)/age_sigma 365 17.6675201772 reducing max timestep prior to age target 365 1.1483888115210438D+08 (age_target - star_age)/age_sigma 366 17.3227030149 reducing max timestep prior to age target 366 1.1259756959676838D+08 (age_target - star_age)/age_sigma 367 16.9847821958 reducing max timestep prior to age target 367 1.1040108427254009D+08 (age_target - star_age)/age_sigma 368 16.6536197930 reducing max timestep prior to age target 368 1.0824852865479469D+08 (age_target - star_age)/age_sigma 369 16.3290806384 reducing max timestep prior to age target 369 1.0613902414940548D+08 370 7.191042 5678.192 -0.011803 -0.011803 1.000000 1.000000 0.361943 0.005238 0.241895 -1.525790 522 0 6.3154E+00 7.191042 0.008359 -42.811575 -1.632903 -99.000000 0.000000 0.618266 0.008589 0.016981 0.117614 5 4.4654E+09 2.168159 -0.011748 -15.653560 -99.000000 -6.908527 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.8461794052983737D-13 log_rel_run_E_err -10.1679187765217378 (age_target - star_age)/age_sigma 370 16.0110322668 reducing max timestep prior to age target 370 1.0407170973412418D+08 (age_target - star_age)/age_sigma 371 15.6993448626 reducing max timestep prior to age target 371 1.0204574160714722D+08 (age_target - star_age)/age_sigma 372 15.3938912066 reducing max timestep prior to age target 372 1.0006029284271049D+08 (age_target - star_age)/age_sigma 373 15.0945466236 reducing max timestep prior to age target 373 9.8114553053562164D+07 (age_target - star_age)/age_sigma 374 14.8011889323 reducing max timestep prior to age target 374 9.6207728060196877D+07 (age_target - star_age)/age_sigma 375 14.5136983949 reducing max timestep prior to age target 375 9.4339039566699982D+07 (age_target - star_age)/age_sigma 376 14.2319576682 reducing max timestep prior to age target 376 9.2507724843071938D+07 (age_target - star_age)/age_sigma 377 13.9558517560 reducing max timestep prior to age target 377 9.0713036413916588D+07 (age_target - star_age)/age_sigma 378 13.6852679621 reducing max timestep prior to age target 378 8.8954241753344536D+07 (age_target - star_age)/age_sigma 379 13.4200958440 reducing max timestep prior to age target 379 8.7230622985983849D+07 380 7.191386 5678.505 -0.011148 -0.011148 1.000000 1.000000 0.360346 0.005244 0.241781 -1.524930 522 0 6.2277E+00 7.191386 0.008638 -42.789595 -1.631791 -99.000000 0.000000 0.619862 0.008583 0.016974 0.117828 5 4.4840E+09 2.169529 -0.011094 -99.000000 -99.000000 -6.908990 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.9673789652313222D-13 log_rel_run_E_err -10.1559084487259490 (age_target - star_age)/age_sigma 380 13.1602271683 reducing max timestep prior to age target 380 8.5541476593970299D+07 (age_target - star_age)/age_sigma 381 12.9055558661 reducing max timestep prior to age target 381 8.3886113129796982D+07 (age_target - star_age)/age_sigma 382 12.6559779900 reducing max timestep prior to age target 382 8.2263856934907913D+07 (age_target - star_age)/age_sigma 383 12.4113916714 reducing max timestep prior to age target 383 8.0674045863915443D+07 (age_target - star_age)/age_sigma 384 12.1716970791 reducing max timestep prior to age target 384 7.9116031014343262D+07 (age_target - star_age)/age_sigma 385 11.9367963787 reducing max timestep prior to age target 385 7.7589176461762428D+07 (age_target - star_age)/age_sigma 386 11.7065936923 reducing max timestep prior to age target 386 7.6092859000233650D+07 (age_target - star_age)/age_sigma 387 11.4809950597 reducing max timestep prior to age target 387 7.4626467887934685D+07 (age_target - star_age)/age_sigma 388 11.2599083997 reducing max timestep prior to age target 388 7.3189404597882271D+07 (age_target - star_age)/age_sigma 389 11.0432434729 reducing max timestep prior to age target 389 7.1781082573631287D+07 390 7.191668 5678.763 -0.010611 -0.010611 1.000000 1.000000 0.359040 0.005250 0.241688 -1.524227 523 0 6.1399E+00 7.191668 0.008867 -42.771595 -1.630878 -99.000000 0.000000 0.621167 0.008578 0.016968 0.118004 5 4.4991E+09 2.170650 -0.010557 -99.000000 -99.000000 -6.909369 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.8309754582277163D-13 log_rel_run_E_err -10.1443339315536711 (age_target - star_age)/age_sigma 391 10.6185802163 reducing max timestep prior to age target 391 6.9020771406097412D+07 (age_target - star_age)/age_sigma 392 10.4104952206 reducing max timestep prior to age target 392 6.7668218934006691D+07 (age_target - star_age)/age_sigma 393 10.2065719248 reducing max timestep prior to age target 393 6.6342717511357307D+07 (age_target - star_age)/age_sigma 394 10.0067270949 reducing max timestep prior to age target 394 6.5043726117160797D+07 (age_target - star_age)/age_sigma 395 9.8108791617 reducing max timestep prior to age target 395 6.3770714550848961D+07 (age_target - star_age)/age_sigma 396 9.6189481871 reducing max timestep prior to age target 396 6.2523163215863228D+07 (age_target - star_age)/age_sigma 397 9.4308558319 reducing max timestep prior to age target 397 6.1300562907576561D+07 (age_target - star_age)/age_sigma 398 9.2465253239 reducing max timestep prior to age target 398 6.0102414605455399D+07 (age_target - star_age)/age_sigma 399 9.0658814261 reducing max timestep prior to age target 399 5.8928229269376755D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.191903 5678.974 -0.010164 -0.010164 1.000000 1.000000 0.357950 0.005254 0.241611 -1.523638 523 0 6.0610E+00 7.191903 0.009058 -42.756575 -1.630116 -99.000000 0.000000 0.622256 0.008574 0.016964 0.118151 3 4.5117E+09 2.171587 -0.010111 -15.255620 -99.000000 -6.909684 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.9373104990481973D-13 log_rel_run_E_err -10.1330005307783306 (age_target - star_age)/age_sigma 400 8.8888504062 reducing max timestep prior to age target 400 5.7777527640020370D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7153600067 reducing max timestep prior to age target 401 5.6649840043251038D+07 (age_target - star_age)/age_sigma 402 8.5453394151 reducing max timestep prior to age target 402 5.5544706198416710D+07 (age_target - star_age)/age_sigma 403 8.3787192355 reducing max timestep prior to age target 403 5.4461675030478477D+07 (age_target - star_age)/age_sigma 404 8.2154314594 reducing max timestep prior to age target 404 5.3400304485899925D+07 (age_target - star_age)/age_sigma 405 8.0554094388 reducing max timestep prior to age target 405 5.2360161352212906D+07 (age_target - star_age)/age_sigma 406 7.8985878586 reducing max timestep prior to age target 406 5.1340821081199646D+07 (age_target - star_age)/age_sigma 407 7.7449027101 reducing max timestep prior to age target 407 5.0341867615606308D+07 (age_target - star_age)/age_sigma 408 7.5942912645 reducing max timestep prior to age target 408 4.9362893219325066D+07 (age_target - star_age)/age_sigma 409 7.4466920478 reducing max timestep prior to age target 409 4.8403498310969353D+07 410 7.192095 5679.142 -0.009800 -0.009800 1.000000 1.000000 0.357059 0.005258 0.241548 -1.523156 522 0 5.9732E+00 7.192095 0.009214 -42.744292 -1.629492 -99.000000 0.000000 0.623146 0.008570 0.016960 0.118272 3 4.5220E+09 2.172354 -0.009748 -15.477469 -99.000000 -6.909940 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.9095426750595949D-13 log_rel_run_E_err -10.1221411837784530 (age_target - star_age)/age_sigma 410 7.3020448155 reducing max timestep prior to age target 410 4.7463291300781250D+07 (age_target - star_age)/age_sigma 411 7.1602905278 reducing max timestep prior to age target 411 4.6541888430796623D+07 (age_target - star_age)/age_sigma 412 7.0213713259 reducing max timestep prior to age target 412 4.5638913618211746D+07 (age_target - star_age)/age_sigma 413 6.8852305080 reducing max timestep prior to age target 413 4.4753998301878929D+07 (age_target - star_age)/age_sigma 414 6.7518125064 reducing max timestep prior to age target 414 4.3886781291872025D+07 (age_target - star_age)/age_sigma 415 6.6210628649 reducing max timestep prior to age target 415 4.3036908622064590D+07 (age_target - star_age)/age_sigma 416 6.4929282163 reducing max timestep prior to age target 416 4.2204033405654907D+07 (age_target - star_age)/age_sigma 417 6.3673562605 reducing max timestep prior to age target 417 4.1387815693572998D+07 (age_target - star_age)/age_sigma 418 6.2442957440 reducing max timestep prior to age target 418 4.0587922335732460D+07 (age_target - star_age)/age_sigma 419 6.1236964377 reducing max timestep prior to age target 419 3.9804026845047951D+07 420 7.192253 5679.282 -0.009502 -0.009502 1.000000 1.000000 0.356331 0.005261 0.241496 -1.522762 522 0 5.8855E+00 7.192253 0.009342 -42.734247 -1.628981 -99.000000 0.000000 0.623874 0.008568 0.016956 0.118370 3 4.5305E+09 2.172982 -0.009448 -15.352530 -99.000000 -6.910151 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9605555815153102D-13 log_rel_run_E_err -10.1115777181965143 (age_target - star_age)/age_sigma 420 6.0055091176 reducing max timestep prior to age target 420 3.9035809264178276D+07 (age_target - star_age)/age_sigma 421 5.8896855438 reducing max timestep prior to age target 421 3.8282956034925461D+07 (age_target - star_age)/age_sigma 422 5.7761784416 reducing max timestep prior to age target 422 3.7545159870257378D+07 (age_target - star_age)/age_sigma 423 5.6649414814 reducing max timestep prior to age target 423 3.6822119628883362D+07 (age_target - star_age)/age_sigma 424 5.5559292604 reducing max timestep prior to age target 424 3.6113540192336082D+07 (age_target - star_age)/age_sigma 426 5.3422653072 reducing max timestep prior to age target 426 3.4724724496704102D+07 (age_target - star_age)/age_sigma 427 5.2375699701 reducing max timestep prior to age target 427 3.4044204805845261D+07 (age_target - star_age)/age_sigma 428 5.1349685398 reducing max timestep prior to age target 428 3.3377295508802414D+07 (age_target - star_age)/age_sigma 429 5.0344191381 reducing max timestep prior to age target 429 3.2723724397700310D+07 430 7.192383 5679.397 -0.009255 -0.009255 1.000000 1.000000 0.355730 0.005263 0.241454 -1.522436 522 0 5.8073E+00 7.192383 0.009448 -42.725951 -1.628559 -99.000000 0.000000 0.624475 0.008565 0.016954 0.118452 3 4.5374E+09 2.173500 -0.009202 -99.000000 -99.000000 -6.910325 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9455902062557304D-13 log_rel_run_E_err -10.1011846782051506 (age_target - star_age)/age_sigma 430 4.9357050374 remaining steps and years until age target 430 50 3.2082082742843628D+07 (age_target - star_age)/age_sigma 431 4.8369909366 remaining steps and years until age target 431 49 3.1440441087986946D+07 (age_target - star_age)/age_sigma 432 4.7382768359 remaining steps and years until age target 432 48 3.0798799433130264D+07 (age_target - star_age)/age_sigma 433 4.6395627351 remaining steps and years until age target 433 47 3.0157157778273582D+07 (age_target - star_age)/age_sigma 434 4.5408486344 reducing max timestep prior to age target 434 2.9515516123415947D+07 (age_target - star_age)/age_sigma 435 4.4421345336 remaining steps and years until age target 435 45 2.8873874468559265D+07 (age_target - star_age)/age_sigma 436 4.3434204329 remaining steps and years until age target 436 44 2.8232232813702583D+07 (age_target - star_age)/age_sigma 437 4.2447063321 remaining steps and years until age target 437 43 2.7590591158845901D+07 (age_target - star_age)/age_sigma 438 4.1459922314 reducing max timestep prior to age target 438 2.6948949503988266D+07 (age_target - star_age)/age_sigma 439 4.0472781306 remaining steps and years until age target 439 41 2.6307307849131584D+07 440 7.192503 5679.504 -0.009028 -0.009028 1.000000 1.000000 0.355175 0.005265 0.241415 -1.522135 522 0 5.8073E+00 7.192503 0.009545 -42.718292 -1.628169 -99.000000 0.000000 0.625030 0.008563 0.016951 0.118528 3 4.5438E+09 2.173979 -0.008975 -15.109492 -99.000000 -6.910485 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8646445345735598D-13 log_rel_run_E_err -10.0911549489274588 (age_target - star_age)/age_sigma 440 3.9485640299 remaining steps and years until age target 440 40 2.5665666194274902D+07 (age_target - star_age)/age_sigma 441 3.8498499291 remaining steps and years until age target 441 39 2.5024024539418221D+07 (age_target - star_age)/age_sigma 442 3.7511358284 reducing max timestep prior to age target 442 2.4382382884560585D+07 (age_target - star_age)/age_sigma 443 3.6524217276 remaining steps and years until age target 443 37 2.3740741229703903D+07 (age_target - star_age)/age_sigma 444 3.5537076269 remaining steps and years until age target 444 36 2.3099099574847221D+07 (age_target - star_age)/age_sigma 445 3.4549935262 remaining steps and years until age target 445 35 2.2457457919990540D+07 (age_target - star_age)/age_sigma 446 3.3562794254 remaining steps and years until age target 446 34 2.1815816265133858D+07 (age_target - star_age)/age_sigma 447 3.2575653247 reducing max timestep prior to age target 447 2.1174174610276222D+07 (age_target - star_age)/age_sigma 448 3.1588512239 remaining steps and years until age target 448 32 2.0532532955419540D+07 (age_target - star_age)/age_sigma 449 3.0601371232 remaining steps and years until age target 449 31 1.9890891300562859D+07 450 7.192623 5679.611 -0.008800 -0.008800 1.000000 1.000000 0.354620 0.005268 0.241376 -1.521833 522 0 5.8073E+00 7.192623 0.009643 -42.710627 -1.627778 -99.000000 0.000000 0.625584 0.008561 0.016949 0.118604 3 4.5503E+09 2.174458 -0.008747 -99.000000 -99.000000 -6.910645 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8390455098788749D-13 log_rel_run_E_err -10.0811025502368068 (age_target - star_age)/age_sigma 450 2.9614230224 remaining steps and years until age target 450 30 1.9249249645706177D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8627089217 reducing max timestep prior to age target 451 1.8607607990848541D+07 (age_target - star_age)/age_sigma 452 2.7639948209 remaining steps and years until age target 452 28 1.7965966335991859D+07 (age_target - star_age)/age_sigma 453 2.6652807202 remaining steps and years until age target 453 27 1.7324324681135178D+07 (age_target - star_age)/age_sigma 454 2.5665666194 remaining steps and years until age target 454 26 1.6682683026278496D+07 (age_target - star_age)/age_sigma 455 2.4678525187 remaining steps and years until age target 455 25 1.6041041371421814D+07 (age_target - star_age)/age_sigma 456 2.3691384179 reducing max timestep prior to age target 456 1.5399399716564178D+07 (age_target - star_age)/age_sigma 457 2.2704243172 remaining steps and years until age target 457 23 1.4757758061707497D+07 (age_target - star_age)/age_sigma 458 2.1717102164 remaining steps and years until age target 458 22 1.4116116406850815D+07 (age_target - star_age)/age_sigma 459 2.0729961157 remaining steps and years until age target 459 21 1.3474474751994133D+07 460 7.192743 5679.717 -0.008572 -0.008572 1.000000 1.000000 0.354064 0.005270 0.241337 -1.521532 522 0 5.8073E+00 7.192743 0.009740 -42.702957 -1.627387 -99.000000 0.000000 0.626139 0.008559 0.016946 0.118679 3 4.5567E+09 2.174937 -0.008519 -15.477469 -99.000000 -6.910805 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8858157635800796D-13 log_rel_run_E_err -10.0713751030084371 (age_target - star_age)/age_sigma 460 1.9742820149 reducing max timestep prior to age target 460 1.2832833097136497D+07 (age_target - star_age)/age_sigma 461 1.8755679142 remaining steps and years until age target 461 19 1.2191191442279816D+07 (age_target - star_age)/age_sigma 462 1.7768538134 remaining steps and years until age target 462 18 1.1549549787423134D+07 (age_target - star_age)/age_sigma 463 1.6781397127 remaining steps and years until age target 463 17 1.0907908132566452D+07 (age_target - star_age)/age_sigma 464 1.5794256120 remaining steps and years until age target 464 16 1.0266266477709770D+07 (age_target - star_age)/age_sigma 465 1.4807115112 reducing max timestep prior to age target 465 9.6246248228521347D+06 (age_target - star_age)/age_sigma 466 1.3819974105 remaining steps and years until age target 466 14 8.9829831679954529D+06 (age_target - star_age)/age_sigma 467 1.2832833097 remaining steps and years until age target 467 13 8.3413415131387711D+06 (age_target - star_age)/age_sigma 468 1.1845692090 remaining steps and years until age target 468 12 7.6996998582820892D+06 (age_target - star_age)/age_sigma 469 1.0858551082 reducing max timestep prior to age target 469 7.0580582034244537D+06 470 7.192864 5679.823 -0.008344 -0.008344 1.000000 1.000000 0.353509 0.005272 0.241297 -1.521230 522 0 5.8073E+00 7.192864 0.009838 -42.695283 -1.626996 -99.000000 0.000000 0.626695 0.008556 0.016944 0.118756 3 4.5631E+09 2.175417 -0.008292 -15.653560 -99.000000 -6.910965 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9176844856671245D-13 log_rel_run_E_err -10.0618250855000095 (age_target - star_age)/age_sigma 470 0.9871410075 remaining steps and years until age target 470 10 6.4164165485677719D+06 (age_target - star_age)/age_sigma 471 0.8884269067 remaining steps and years until age target 471 9 5.7747748937110901D+06 (age_target - star_age)/age_sigma 472 0.7897128060 remaining steps and years until age target 472 8 5.1331332388544083D+06 (age_target - star_age)/age_sigma 473 0.6909987052 remaining steps and years until age target 473 7 4.4914915839977264D+06 (age_target - star_age)/age_sigma 474 0.5922846045 reducing max timestep prior to age target 474 3.8498499291400909D+06 (age_target - star_age)/age_sigma 475 0.4935705037 remaining steps and years until age target 475 5 3.2082082742834091D+06 (age_target - star_age)/age_sigma 476 0.3948564030 remaining steps and years until age target 476 4 2.5665666194267273D+06 (age_target - star_age)/age_sigma 477 0.2961423022 remaining steps and years until age target 477 3 1.9249249645700455D+06 (age_target - star_age)/age_sigma 478 0.1974282015 remaining steps and years until age target 478 2 1.2832833097133636D+06 (age_target - star_age)/age_sigma 479 0.0987141007 remaining steps and years until age target 479 1 6.4164165485763550D+05 480 7.192984 5679.929 -0.008117 -0.008117 1.000000 1.000000 0.352953 0.005275 0.241258 -1.520928 522 0 5.8073E+00 7.192984 0.009935 -42.687603 -1.626603 -99.000000 0.000000 0.627250 0.008554 0.016941 0.118832 3 4.5695E+09 2.175897 -0.008064 -15.477469 -99.000000 -6.911126 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8473914593154327D-13 log_rel_run_E_err -10.0525030070049919 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333512.84 0.00 333512.84 save outputs/best.mod 480 save outputs/best.profile for model 480 save LOGS/profile11.data for model 480 have reached age_target save LOGS/profile11.data for model 480 solver retries 1 varcontrol dt limit 40 max increase dt limit 535 lgRho_cntr dt limit 19 model saved to final.mod save photos/x480 for model 480 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333512.84 0.00 333512.84 have reached age_target runtime (minutes), retries, steps 3.09 0 480 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 480 7.192984 5679.929 -0.008117 -0.008117 1.000000 1.000000 0.352953 0.005275 0.241258 -1.520928 522 0 5.8073E+00 7.192984 0.009935 -42.687603 -1.626603 -99.000000 0.000000 0.627250 0.008554 0.016941 0.118832 3 4.5695E+09 2.175897 -0.008064 -15.477469 -99.000000 -6.911126 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8473914593154327D-13 log_rel_run_E_err -10.0525030070049919 Teff 5679.9294383764 radius 1.0231407131 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 535.4926038596 M_H -0.0017395982 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 3.0262018812 log_R 0.0099353666 delta_nu 136.8076227271 nu_max 2964.0776267831 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2700000000 initial_FeH 0.0600000000 alpha 2.0000000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 333512.8396019136 model number 480 save best model results to outputs/sample_0001.data current set of sample results 1 2 3 4 5 6 7 8 samples version_number compiler build MESA_SDK_version math_backend date search_type 1 "7067e26" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251202" "newuoa" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first 1 3.3351283960191364E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763963E+03 1.0231407131234020E+00 -1.7395981953360481E-03 9.9353665865702778E-03 1.3680762272705823E+02 2.9640776267831352E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191364E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.8350000000000003D-01 4.5000000000000001D-01 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.726 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953960 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571845 -99.000000 -99.000000 -7.767405 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.871 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515110 -99.000000 -99.000000 -7.738508 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.701 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488594 -99.000000 -99.000000 -7.719977 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.152 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 3.9000E-04 -1.867438 1.472452 -99.000000 -99.000000 -7.707416 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.527 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 4.9000E-04 -1.867438 1.461235 -99.000000 -99.000000 -7.698204 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562815646042354D-01 20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0 7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246319721660051D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -20.896008 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692957329111614D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 6.9812046894104329D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.8350000000000005D-05 initial_he4 2.8347165000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.630489 4379.911 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 0 -4.2874E+00 6.630489 0.258223 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 10 2.5959E-04 0.169401 0.037000 -99.000000 -99.000000 -6.905533 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5624429361937517D-13 log_rel_run_E_err -11.5709606647291228 20 6.630489 4382.172 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 0 -3.4956E+00 6.630489 0.258230 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3 1.8669E-03 0.169401 0.037911 -20.169010 -99.000000 -6.906464 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6324953323844036D-13 log_rel_run_E_err -11.2708110011632154 solver rejected trial model s% model_number 24 s% solver_call_number 141 nz 458 s% num_retries 0 dt 2.0906080877547709D+04 log dt/secyer -3.1788313409046292D+00 retry: max residual jumped -- give up in solver 24 30 6.630489 4383.871 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 1 -3.0840E+00 6.630489 0.258235 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 5 6.8828E-03 0.169401 0.038595 -19.992918 -99.000000 -6.907161 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.8813656872782784D-13 log_rel_run_E_err -11.0939586729631738 40 6.630489 4384.208 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 1 -2.2921E+00 6.630489 0.258237 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 2 3.2558E-02 0.169401 0.038732 -99.000000 -99.000000 -6.907300 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7486348197015220D-13 log_rel_run_E_err -10.9699229228149431 50 6.630489 4384.218 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 1 -1.5003E+00 6.630489 0.258237 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 4 1.9153E-01 0.169401 0.038735 -20.169010 -99.000000 -6.907303 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6859562956318152D-13 log_rel_run_E_err -10.8738728725003266 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.630489 4384.195 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035199 458 1 -7.0852E-01 6.630489 0.258236 -99.000000 -6.245864 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3 1.1758E+00 0.169401 0.038724 -99.000000 -99.000000 -6.907293 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7209820911701795D-13 log_rel_run_E_err -10.7937993675251942 70 6.630489 4384.125 -4.848115 -4.848115 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035197 458 1 8.3295E-02 6.630489 0.258232 -99.000000 -6.245862 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3 7.2705E+00 0.169403 0.038690 -99.000000 -99.000000 -6.907260 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7338839778515045D-13 log_rel_run_E_err -10.7274630887669016 80 6.630490 4383.985 -4.848096 -4.848096 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035186 458 1 8.7511E-01 6.630490 0.258221 -99.000000 -6.245843 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3 4.5007E+01 0.169409 0.038612 -20.470040 -99.000000 -6.907190 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6398514456043676D-13 log_rel_run_E_err -10.6693704900355506 90 6.630498 4383.807 -4.847969 -4.847969 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035115 458 1 1.6669E+00 6.630498 0.258190 -99.000000 -6.245715 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071722 10 2.7866E+02 0.169452 0.038480 -19.992918 -99.000000 -6.907082 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.1946244743095770D-13 log_rel_run_E_err -10.6160247247410542 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.630567 4383.681 -4.847101 -4.847101 1.000000 1.000000 0.698120 0.000928 0.283500 -4.034678 458 1 2.4587E+00 6.630567 0.258094 -99.000000 -6.244847 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071727 3 1.7254E+03 0.169745 0.038237 -20.470040 -99.000000 -6.906915 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.7228749248210367D-13 log_rel_run_E_err -10.5541405639390824 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.631019 4383.144 -4.841781 -4.841781 1.000000 1.000000 0.698120 0.000928 0.283500 -4.031971 458 1 3.2505E+00 6.631019 0.257531 -99.000000 -6.239527 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071754 2 1.0683E+04 0.171590 0.036899 -20.293948 -99.000000 -6.906027 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7147983890566479D-13 log_rel_run_E_err -10.4847100773360893 120 6.633763 4379.859 -4.809449 -4.809449 1.000000 1.000000 0.698120 0.000928 0.283500 -4.015419 458 1 4.0424E+00 6.633763 0.254107 -99.000000 -6.207192 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071921 2 6.6147E+04 0.182852 0.028749 -99.000000 -99.000000 -6.900603 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 5.2394588865555400D-14 log_rel_run_E_err -10.4556087561582114 130 6.649000 4360.562 -4.629262 -4.629262 1.000000 1.000000 0.698120 0.000928 0.283500 -3.919553 458 1 4.8342E+00 6.649000 0.234921 -99.000000 -6.026990 -99.000000 0.000000 0.283500 0.008620 0.018380 0.072950 3 4.0956E+05 0.247079 -0.017294 -19.992918 -99.000000 -6.869567 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.8867781203647014D-12 log_rel_run_E_err -10.3785715429989303 140 6.708913 4290.429 -3.920674 -3.920674 1.000000 1.000000 0.698119 0.000928 0.283500 -3.472432 464 1 5.6260E+00 6.708913 0.159560 -99.000000 -5.318307 -99.000000 0.000000 0.283501 0.008621 0.018380 0.078932 4 2.5359E+06 0.529493 -0.196184 -99.000000 -99.000000 -6.746359 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.4978086078180836D-13 log_rel_run_E_err -10.2454677219103658 150 6.815648 4399.236 -2.774506 -2.774506 1.000000 1.000000 0.698113 0.000928 0.283497 -2.602706 470 1 5.8933E+00 6.815648 0.064683 -99.000000 -4.171715 -99.000000 0.000000 0.283508 0.008621 0.018379 0.092837 3 9.4753E+06 1.061104 -0.342432 -99.000000 -99.000000 -6.681717 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr rel_E_err 8.7951761382682059D-12 log_rel_run_E_err -10.1936491072629902 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 6.965414 5076.105 -1.468424 -1.468424 1.000000 1.000000 0.698065 0.000929 0.283485 -1.783995 488 1 5.9817E+00 6.965414 0.024509 -99.000000 -2.864819 -99.000000 0.000000 0.283555 0.008621 0.018379 0.101644 4 1.9578E+07 1.628439 -0.174165 -99.000000 -99.000000 -6.795712 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr rel_E_err 1.9379830304100600D-13 log_rel_run_E_err -10.3293928239698172 170 7.140020 5668.448 -0.118401 -0.118401 1.000000 1.000000 0.697295 0.001910 0.283386 -1.759224 519 1 6.5254E+00 7.140020 -0.037067 -46.683666 -1.663686 -99.000000 0.000000 0.284183 0.008622 0.018373 0.083906 5 3.7541E+07 1.901364 -0.105585 -15.653560 -99.000000 -6.836106 0.000000 0.002327 0.001916 0.018522 0.000E+00 max increase rel_E_err 2.0063770092572658D-13 log_rel_run_E_err -10.4454315727348419 (age_target - star_age)/age_sigma 173 694.9716042390 reducing max timestep prior to age target 173 4.5173154275536242D+09 180 7.139558 5674.866 -0.107165 -0.107165 1.000000 1.000000 0.690356 0.004591 0.282589 -1.692079 509 1 7.3172E+00 7.139558 -0.038723 -46.626697 -1.749255 -99.000000 0.000000 0.290726 0.008627 0.018328 0.086283 10 1.4197E+08 1.929973 -0.106929 -15.954590 -99.000000 -6.836266 0.000000 0.000033 0.001918 0.018918 0.000E+00 max increase rel_E_err 1.8595084278479840D-13 log_rel_run_E_err -10.4266853318718127 (age_target - star_age)/age_sigma 181 677.3258369197 reducing max timestep prior to age target 181 4.4026179399782906D+09 (age_target - star_age)/age_sigma 183 667.2087998159 reducing max timestep prior to age target 183 4.3368571988030729D+09 (age_target - star_age)/age_sigma 185 652.6402663863 reducing max timestep prior to age target 185 4.2421617315107594D+09 (age_target - star_age)/age_sigma 187 631.6615782477 reducing max timestep prior to age target 187 4.1058002586098275D+09 (age_target - star_age)/age_sigma 188 619.3426343900 reducing max timestep prior to age target 188 4.0257271235348477D+09 (age_target - star_age)/age_sigma 189 607.2700694094 reducing max timestep prior to age target 189 3.9472554511613679D+09 190 7.146433 5690.967 -0.086919 -0.086919 1.000000 1.000000 0.645401 0.004648 0.278318 -1.670403 508 1 7.8859E+00 7.146433 -0.031141 -46.060442 -1.746103 -99.000000 0.000000 0.335600 0.008646 0.018080 0.089303 10 6.9915E+08 1.960791 -0.086844 -99.000000 -99.000000 -6.850818 0.000000 0.000015 0.001925 0.018999 0.000E+00 max_dt rel_E_err 1.8965624975945884D-13 log_rel_run_E_err -10.4067925526636476 (age_target - star_age)/age_sigma 190 595.4389557285 reducing max timestep prior to age target 190 3.8703532122353573D+09 (age_target - star_age)/age_sigma 191 583.8444643212 reducing max timestep prior to age target 191 3.7949890180878673D+09 (age_target - star_age)/age_sigma 192 572.4818627421 reducing max timestep prior to age target 192 3.7211321078233271D+09 (age_target - star_age)/age_sigma 193 561.3465131945 reducing max timestep prior to age target 193 3.6487523357640772D+09 (age_target - star_age)/age_sigma 194 550.4338706378 reducing max timestep prior to age target 194 3.5778201591460128D+09 (age_target - star_age)/age_sigma 195 539.7394809324 reducing max timestep prior to age target 195 3.5083066260603094D+09 (age_target - star_age)/age_sigma 196 529.2589790210 reducing max timestep prior to age target 196 3.4401833636363201D+09 (age_target - star_age)/age_sigma 197 518.9880871478 reducing max timestep prior to age target 197 3.3734225664608107D+09 (age_target - star_age)/age_sigma 198 508.9226131121 reducing max timestep prior to age target 198 3.3079969852288117D+09 (age_target - star_age)/age_sigma 199 499.0584485571 reducing max timestep prior to age target 199 3.2438799156214523D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.155900 5707.373 -0.064626 -0.064626 1.000000 1.000000 0.587115 0.004706 0.273042 -1.648742 513 1 7.7982E+00 7.155900 -0.022494 -45.340680 -1.721183 -99.000000 0.000000 0.393792 0.008653 0.017773 0.093411 10 1.3885E+09 1.999418 -0.064550 -15.954590 -99.000000 -6.867581 0.000000 0.000015 0.001935 0.019093 0.000E+00 max_dt rel_E_err 1.8439729849500186D-13 log_rel_run_E_err -10.3878561614277860 (age_target - star_age)/age_sigma 200 489.3915672933 reducing max timestep prior to age target 200 3.1810451874062405D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.9180236547 reducing max timestep prior to age target 201 3.1194671537553329D+09 (age_target - star_age)/age_sigma 202 470.6339508888 reducing max timestep prior to age target 202 3.0591206807774429D+09 (age_target - star_age)/age_sigma 203 461.5355595783 reducing max timestep prior to age target 203 2.9999811372591114D+09 (age_target - star_age)/age_sigma 204 452.6191360940 reducing max timestep prior to age target 204 2.9420243846111460D+09 (age_target - star_age)/age_sigma 205 443.8810410794 reducing max timestep prior to age target 205 2.8852267670161400D+09 (age_target - star_age)/age_sigma 206 435.3177079651 reducing max timestep prior to age target 206 2.8295651017730341D+09 (age_target - star_age)/age_sigma 207 426.9256415130 reducing max timestep prior to age target 207 2.7750166698347907D+09 (age_target - star_age)/age_sigma 208 418.7014163900 reducing max timestep prior to age target 208 2.7215592065353117D+09 (age_target - star_age)/age_sigma 209 410.6416757695 reducing max timestep prior to age target 209 2.6691708925018225D+09 210 7.164251 5720.075 -0.045921 -0.045921 1.000000 1.000000 0.538498 0.004767 0.268744 -1.629473 517 1 7.7105E+00 7.164251 -0.015074 -44.734964 -1.697023 -99.000000 0.000000 0.442337 0.008640 0.017519 0.097253 10 1.9517E+09 2.033235 -0.045847 -99.000000 -99.000000 -6.881795 0.000000 0.000016 0.001943 0.019165 0.000E+00 max_dt rel_E_err 1.8291543694951790D-13 log_rel_run_E_err -10.3694714273693425 (age_target - star_age)/age_sigma 210 402.7431299614 reducing max timestep prior to age target 210 2.6178303447490034D+09 (age_target - star_age)/age_sigma 212 387.2619801775 reducing max timestep prior to age target 212 2.5172028711534767D+09 (age_target - star_age)/age_sigma 213 379.6762167833 reducing max timestep prior to age target 213 2.4678954090916691D+09 (age_target - star_age)/age_sigma 214 372.2421686571 reducing max timestep prior to age target 214 2.4195740962710977D+09 (age_target - star_age)/age_sigma 215 364.9568014934 reducing max timestep prior to age target 215 2.3722192097069373D+09 (age_target - star_age)/age_sigma 216 357.8171416729 reducing max timestep prior to age target 216 2.3258114208740602D+09 (age_target - star_age)/age_sigma 217 350.8202750489 reducing max timestep prior to age target 217 2.2803317878178411D+09 (age_target - star_age)/age_sigma 218 343.9633457573 reducing max timestep prior to age target 218 2.2357617474227462D+09 (age_target - star_age)/age_sigma 219 337.2435550516 reducing max timestep prior to age target 219 2.1920831078355532D+09 220 7.171680 5730.178 -0.029861 -0.029861 1.000000 1.000000 0.497259 0.004834 0.265193 -1.612201 516 1 7.6315E+00 7.171680 -0.008578 -44.214868 -1.674704 -99.000000 0.000000 0.483521 0.008609 0.017309 0.100861 10 2.4202E+09 2.063153 -0.029790 -99.000000 -99.000000 -6.893947 0.000000 0.000017 0.001949 0.019220 0.000E+00 max_dt rel_E_err 1.6985233061221983D-13 log_rel_run_E_err -10.3520070177763746 (age_target - star_age)/age_sigma 220 330.6581601600 reducing max timestep prior to age target 220 2.1492780410401039D+09 (age_target - star_age)/age_sigma 221 324.2044731662 reducing max timestep prior to age target 221 2.1073290755805640D+09 (age_target - star_age)/age_sigma 222 317.8798599123 reducing max timestep prior to age target 222 2.0662190894302144D+09 (age_target - star_age)/age_sigma 223 311.6817389235 reducing max timestep prior to age target 223 2.0259313030028715D+09 (age_target - star_age)/age_sigma 224 305.6075803545 reducing max timestep prior to age target 224 1.9864492723040757D+09 (age_target - star_age)/age_sigma 225 299.6549049568 reducing max timestep prior to age target 225 1.9477568822192564D+09 (age_target - star_age)/age_sigma 226 293.8212830671 reducing max timestep prior to age target 226 1.9098383399361329D+09 (age_target - star_age)/age_sigma 227 288.1043336152 reducing max timestep prior to age target 227 1.8726781684986720D+09 (age_target - star_age)/age_sigma 228 282.5017231523 reducing max timestep prior to age target 228 1.8362612004899607D+09 (age_target - star_age)/age_sigma 229 277.0111648987 reducing max timestep prior to age target 229 1.8005725718414230D+09 230 7.178119 5737.907 -0.016350 -0.016350 1.000000 1.000000 0.462863 0.004904 0.262321 -1.597159 516 1 7.5438E+00 7.178119 -0.002995 -43.775525 -1.654821 -99.000000 0.000000 0.517876 0.008564 0.017139 0.104154 10 2.8039E+09 2.088968 -0.016283 -99.000000 -99.000000 -6.904170 0.000000 0.000018 0.001954 0.019261 0.000E+00 max_dt rel_E_err 1.9618642036232700D-13 log_rel_run_E_err -10.3350700881562947 (age_target - star_age)/age_sigma 230 271.6304178101 reducing max timestep prior to age target 230 1.7655977157658563D+09 (age_target - star_age)/age_sigma 231 266.3572856634 reducing max timestep prior to age target 231 1.7313223568118010D+09 (age_target - star_age)/age_sigma 232 261.1896161595 reducing max timestep prior to age target 232 1.6977325050368271D+09 (age_target - star_age)/age_sigma 233 256.1253000457 reducing max timestep prior to age target 233 1.6648144502973523D+09 (age_target - star_age)/age_sigma 234 251.1622702543 reducing max timestep prior to age target 234 1.6325547566526670D+09 (age_target - star_age)/age_sigma 235 246.2985010586 reducing max timestep prior to age target 235 1.6009402568808756D+09 (age_target - star_age)/age_sigma 236 241.5320072468 reducing max timestep prior to age target 236 1.5699580471045198D+09 (age_target - star_age)/age_sigma 237 236.8608433113 reducing max timestep prior to age target 237 1.5395954815236917D+09 (age_target - star_age)/age_sigma 238 232.2831026545 reducing max timestep prior to age target 238 1.5098401672544799D+09 (age_target - star_age)/age_sigma 239 227.7969168109 reducing max timestep prior to age target 239 1.4806799592706518D+09 240 7.183634 5743.868 -0.005056 -0.005056 1.000000 1.000000 0.434282 0.004977 0.259964 -1.584212 516 1 7.4560E+00 7.183634 0.001748 -43.406551 -1.637388 -99.000000 0.000000 0.546426 0.008509 0.017000 0.107112 10 3.1174E+09 2.111019 -0.004992 -99.000000 -99.000000 -6.912670 0.000000 0.000018 0.001958 0.019292 0.000E+00 max_dt rel_E_err 1.9074680446707953D-13 log_rel_run_E_err -10.3186551088352765 (age_target - star_age)/age_sigma 240 223.4004546841 reducing max timestep prior to age target 240 1.4521029554465003D+09 (age_target - star_age)/age_sigma 241 219.0919217998 reducing max timestep prior to age target 241 1.4240974916988325D+09 (age_target - star_age)/age_sigma 242 214.8695595732 reducing max timestep prior to age target 242 1.3966521372261176D+09 (age_target - star_age)/age_sigma 243 210.7316445912 reducing max timestep prior to age target 243 1.3697556898428569D+09 (age_target - star_age)/age_sigma 244 206.6764879088 reducing max timestep prior to age target 244 1.3433971714072618D+09 (age_target - star_age)/age_sigma 246 198.7283808113 reducing max timestep prior to age target 246 1.2917344752734947D+09 (age_target - star_age)/age_sigma 247 194.8338083335 reducing max timestep prior to age target 247 1.2664197541679487D+09 (age_target - star_age)/age_sigma 248 191.0171273053 reducing max timestep prior to age target 248 1.2416113274845138D+09 (age_target - star_age)/age_sigma 249 187.2767798977 reducing max timestep prior to age target 249 1.2172990693347478D+09 250 7.188376 5748.491 0.004439 0.004439 1.000000 1.000000 0.410340 0.005050 0.258006 -1.573041 518 1 7.3771E+00 7.188376 0.005796 -43.094436 -1.622125 -99.000000 0.000000 0.570347 0.008448 0.016884 0.109765 10 3.3760E+09 2.129940 0.004500 -99.000000 -99.000000 -6.919803 0.000000 0.000019 0.001961 0.019314 0.000E+00 max_dt rel_E_err 1.7693846679099751D-13 log_rel_run_E_err -10.3032591232183410 (age_target - star_age)/age_sigma 250 183.6112394382 reducing max timestep prior to age target 250 1.1934730563479772D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 180.0190097878 reducing max timestep prior to age target 251 1.1701235636209421D+09 (age_target - star_age)/age_sigma 252 176.4986247305 reducing max timestep prior to age target 252 1.1472410607484474D+09 (age_target - star_age)/age_sigma 253 173.0486473744 reducing max timestep prior to age target 253 1.1248162079334021D+09 (age_target - star_age)/age_sigma 254 169.6676695653 reducing max timestep prior to age target 254 1.1028398521746583D+09 (age_target - star_age)/age_sigma 255 166.3543113125 reducing max timestep prior to age target 255 1.0813030235310893D+09 (age_target - star_age)/age_sigma 256 163.1072202247 reducing max timestep prior to age target 256 1.0601969314603920D+09 (age_target - star_age)/age_sigma 257 159.9250709586 reducing max timestep prior to age target 257 1.0395129612311082D+09 (age_target - star_age)/age_sigma 258 156.8065646779 reducing max timestep prior to age target 258 1.0192426704064102D+09 (age_target - star_age)/age_sigma 259 153.7504285228 reducing max timestep prior to age target 259 9.9937778539820623D+08 260 7.192436 5752.049 0.012393 0.012393 1.000000 1.000000 0.390293 0.005122 0.256435 -1.563473 518 1 7.2893E+00 7.192436 0.009233 -42.830817 -1.608881 -99.000000 0.000000 0.590378 0.008383 0.016791 0.112119 10 3.5896E+09 2.146101 0.012450 -15.176439 -99.000000 -6.925731 0.000000 0.000020 0.001964 0.019329 0.000E+00 max_dt rel_E_err 1.9003573405421399D-13 log_rel_run_E_err -10.2881277778791240 (age_target - star_age)/age_sigma 260 150.7554150908 reducing max timestep prior to age target 260 9.7991019809016609D+08 (age_target - star_age)/age_sigma 261 147.8203019274 reducing max timestep prior to age target 261 9.6083196252828693D+08 (age_target - star_age)/age_sigma 262 144.9438910273 reducing max timestep prior to age target 262 9.4213529167764568D+08 (age_target - star_age)/age_sigma 263 142.1250083452 reducing max timestep prior to age target 263 9.2381255424401665D+08 (age_target - star_age)/age_sigma 264 139.3625033168 reducing max timestep prior to age target 264 9.0585627155906057D+08 (age_target - star_age)/age_sigma 265 136.6552483889 reducing max timestep prior to age target 265 8.8825911452780342D+08 (age_target - star_age)/age_sigma 266 134.0021385596 reducing max timestep prior to age target 266 8.7101390063717127D+08 (age_target - star_age)/age_sigma 267 131.4020909268 reducing max timestep prior to age target 267 8.5411359102435207D+08 (age_target - star_age)/age_sigma 268 128.8540442467 reducing max timestep prior to age target 268 8.3755128760378933D+08 (age_target - star_age)/age_sigma 269 126.3569585003 reducing max timestep prior to age target 269 8.2132023025163794D+08 270 7.195855 5754.780 0.018967 0.018967 1.000000 1.000000 0.373711 0.005190 0.255140 -1.555464 517 1 7.2016E+00 7.195855 0.012106 -42.611117 -1.597601 -99.000000 0.000000 0.606949 0.008318 0.016715 0.114164 10 3.7641E+09 2.159660 0.019022 -15.653560 -99.000000 -6.930604 0.000000 0.000020 0.001966 0.019340 0.000E+00 max_dt rel_E_err 1.7446296448512494D-13 log_rel_run_E_err -10.2737025873852694 (age_target - star_age)/age_sigma 270 123.9098144687 reducing max timestep prior to age target 270 8.0541379404652929D+08 (age_target - star_age)/age_sigma 271 121.5116133178 reducing max timestep prior to age target 271 7.8982548656552267D+08 (age_target - star_age)/age_sigma 272 119.1613761899 reducing max timestep prior to age target 272 7.7454894523413658D+08 (age_target - star_age)/age_sigma 273 116.8581438045 reducing max timestep prior to age target 273 7.5957793472937775D+08 (age_target - star_age)/age_sigma 274 114.6009760669 reducing max timestep prior to age target 274 7.4490634443471432D+08 (age_target - star_age)/age_sigma 275 112.3889516840 reducing max timestep prior to age target 275 7.3052818594594431D+08 (age_target - star_age)/age_sigma 276 110.2211677888 reducing max timestep prior to age target 276 7.1643759062694979D+08 (age_target - star_age)/age_sigma 277 108.0967395714 reducing max timestep prior to age target 277 7.0262880721433449D+08 (age_target - star_age)/age_sigma 278 106.0147999185 reducing max timestep prior to age target 278 6.8909619946997213D+08 (age_target - star_age)/age_sigma 279 103.9744990585 reducing max timestep prior to age target 279 6.7583424388049698D+08 280 7.198720 5756.894 0.024394 0.024394 1.000000 1.000000 0.360018 0.005253 0.254058 -1.548779 517 1 7.1138E+00 7.198720 0.014500 -42.428569 -1.588057 -99.000000 0.000000 0.620635 0.008257 0.016651 0.115925 10 3.9067E+09 2.170991 0.024446 -15.653560 -99.000000 -6.934617 0.000000 0.000021 0.001968 0.019347 0.000E+00 max_dt rel_E_err 1.8930542662970450D-13 log_rel_run_E_err -10.2594245134385726 (age_target - star_age)/age_sigma 281 99.9755093731 reducing max timestep prior to age target 281 6.4984081092512465D+08 (age_target - star_age)/age_sigma 282 98.0160044272 reducing max timestep prior to age target 282 6.3710402877699280D+08 (age_target - star_age)/age_sigma 283 96.0956895803 reducing max timestep prior to age target 283 6.2462198227182341D+08 (age_target - star_age)/age_sigma 284 94.2137810303 reducing max timestep prior to age target 284 6.1238957669675779D+08 (age_target - star_age)/age_sigma 285 92.3695106513 reducing max timestep prior to age target 285 6.0040181923319292D+08 (age_target - star_age)/age_sigma 286 90.5621256798 reducing max timestep prior to age target 286 5.8865381691889906D+08 (age_target - star_age)/age_sigma 287 88.7908884078 reducing max timestep prior to age target 287 5.7714077465089178D+08 (age_target - star_age)/age_sigma 288 87.0550758813 reducing max timestep prior to age target 288 5.6585799322824383D+08 (age_target - star_age)/age_sigma 289 85.3539796052 reducing max timestep prior to age target 289 5.5480086743404961D+08 290 7.201158 5758.160 0.028946 0.028946 1.000000 1.000000 0.348496 0.005311 0.253174 -1.543092 515 1 7.0349E+00 7.201158 0.016583 -42.274240 -1.579877 -99.000000 0.000000 0.632152 0.008199 0.016598 0.117460 5 4.0255E+09 2.180623 0.028995 -15.352530 -99.000000 -6.937876 0.000000 0.000021 0.001969 0.019352 0.000E+00 max_dt rel_E_err 1.8287691469327369D-13 log_rel_run_E_err -10.2457198916775916 (age_target - star_age)/age_sigma 290 83.6869052547 reducing max timestep prior to age target 290 5.4396488415573931D+08 (age_target - star_age)/age_sigma 291 82.0531723912 reducing max timestep prior to age target 291 5.3334562054299498D+08 (age_target - star_age)/age_sigma 292 80.4521141850 reducing max timestep prior to age target 292 5.2293874220250559D+08 (age_target - star_age)/age_sigma 293 78.8830771429 reducing max timestep prior to age target 293 5.1274000142882586D+08 (age_target - star_age)/age_sigma 294 77.3454208416 reducing max timestep prior to age target 294 5.0274523547061968D+08 (age_target - star_age)/age_sigma 295 75.8385176664 reducing max timestep prior to age target 295 4.9295036483157825D+08 (age_target - star_age)/age_sigma 296 74.3617525547 reducing max timestep prior to age target 296 4.8335139160531712D+08 (age_target - star_age)/age_sigma 297 72.9145227452 reducing max timestep prior to age target 297 4.7394439784358120D+08 (age_target - star_age)/age_sigma 298 71.4962375319 reducing max timestep prior to age target 298 4.6472554395707941D+08 (age_target - star_age)/age_sigma 299 70.1063180228 reducing max timestep prior to age target 299 4.5569106714830828D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.203185 5759.479 0.032695 0.032695 1.000000 1.000000 0.339007 0.005363 0.252442 -1.538364 515 1 6.9471E+00 7.203185 0.018258 -42.146565 -1.573026 -99.000000 0.000000 0.641637 0.008147 0.016554 0.118763 5 4.1227E+09 2.188626 0.032742 -15.176439 -99.000000 -6.940621 0.000000 0.000022 0.001971 0.019355 0.000E+00 max_dt rel_E_err 1.7521285511507172D-13 log_rel_run_E_err -10.2324344603155488 (age_target - star_age)/age_sigma 300 68.7441969040 reducing max timestep prior to age target 300 4.4683727987571287D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.4093182075 reducing max timestep prior to age target 301 4.3816056834856892D+08 (age_target - star_age)/age_sigma 302 66.1011370849 reducing max timestep prior to age target 302 4.2965739105196810D+08 (age_target - star_age)/age_sigma 303 64.8191195848 reducing max timestep prior to age target 303 4.2132427730129910D+08 (age_target - star_age)/age_sigma 304 63.5627424347 reducing max timestep prior to age target 304 4.1315782582564354D+08 (age_target - star_age)/age_sigma 305 62.3314928276 reducing max timestep prior to age target 305 4.0515470337950087D+08 (age_target - star_age)/age_sigma 306 61.1248682127 reducing max timestep prior to age target 306 3.9731164338228178D+08 (age_target - star_age)/age_sigma 307 59.9423760900 reducing max timestep prior to age target 307 3.8962544458500624D+08 (age_target - star_age)/age_sigma 308 58.7835338098 reducing max timestep prior to age target 308 3.8209296976367617D+08 (age_target - star_age)/age_sigma 309 57.6478683752 reducing max timestep prior to age target 309 3.7471114443877316D+08 310 7.204865 5760.510 0.035774 0.035774 1.000000 1.000000 0.331203 0.005408 0.251835 -1.534436 516 1 6.8594E+00 7.204865 0.019641 -42.041184 -1.567316 -99.000000 0.000000 0.649440 0.008100 0.016518 0.119863 5 4.2020E+09 2.195260 0.035819 -99.000000 -99.000000 -6.942874 0.000000 0.000022 0.001972 0.019357 0.000E+00 max_dt rel_E_err 1.8420238361686855D-13 log_rel_run_E_err -10.2195033009809269 (age_target - star_age)/age_sigma 310 56.5349162493 reducing max timestep prior to age target 310 3.6747695562036800D+08 (age_target - star_age)/age_sigma 311 55.4442231659 reducing max timestep prior to age target 311 3.6038745057833099D+08 (age_target - star_age)/age_sigma 312 54.3753439442 reducing max timestep prior to age target 312 3.5343973563713503D+08 (age_target - star_age)/age_sigma 313 53.3278423069 reducing max timestep prior to age target 313 3.4663097499476242D+08 (age_target - star_age)/age_sigma 314 52.3012907023 reducing max timestep prior to age target 314 3.3995838956523800D+08 (age_target - star_age)/age_sigma 315 51.2952701299 reducing max timestep prior to age target 315 3.3341925584430361D+08 (age_target - star_age)/age_sigma 317 49.3234698079 reducing max timestep prior to age target 317 3.2060255375127220D+08 (age_target - star_age)/age_sigma 318 48.3572876501 reducing max timestep prior to age target 318 3.1432236972568703D+08 (age_target - star_age)/age_sigma 319 47.4104291355 reducing max timestep prior to age target 319 3.0816778938061333D+08 320 7.206265 5761.329 0.038319 0.038319 1.000000 1.000000 0.324741 0.005448 0.251342 -1.531154 516 1 6.7804E+00 7.206265 0.020789 -41.953694 -1.562539 -99.000000 0.000000 0.655900 0.008059 0.016488 0.120794 5 4.2674E+09 2.200788 0.038363 -99.000000 -99.000000 -6.944726 0.000000 0.000022 0.001972 0.019358 0.000E+00 max_dt rel_E_err 1.7110138052866007D-13 log_rel_run_E_err -10.2067633453165705 (age_target - star_age)/age_sigma 320 46.4825077911 reducing max timestep prior to age target 320 3.0213630064244127D+08 (age_target - star_age)/age_sigma 321 45.5731448737 reducing max timestep prior to age target 321 2.9622544167903280D+08 (age_target - star_age)/age_sigma 322 44.6819692146 reducing max timestep prior to age target 322 2.9043279989489174D+08 (age_target - star_age)/age_sigma 323 43.8086170687 reducing max timestep prior to age target 323 2.8475601094643402D+08 (age_target - star_age)/age_sigma 324 42.9527319657 reducing max timestep prior to age target 324 2.7919275777694511D+08 (age_target - star_age)/age_sigma 325 42.1139645647 reducing max timestep prior to age target 325 2.7374076967084599D+08 (age_target - star_age)/age_sigma 326 41.2919725118 reducing max timestep prior to age target 326 2.6839782132686901D+08 (age_target - star_age)/age_sigma 327 40.4864203000 reducing max timestep prior to age target 327 2.6316173194977188D+08 (age_target - star_age)/age_sigma 328 39.6969791323 reducing max timestep prior to age target 328 2.5803036436021709D+08 (age_target - star_age)/age_sigma 329 38.9233267881 reducing max timestep prior to age target 329 2.5300162412245274D+08 330 7.207435 5761.983 0.040432 0.040432 1.000000 1.000000 0.319369 0.005482 0.250939 -1.528409 516 1 6.6927E+00 7.207435 0.021746 -41.880787 -1.558533 -99.000000 0.000000 0.661272 0.008023 0.016464 0.121581 5 4.3214E+09 2.205408 0.040474 -99.000000 -99.000000 -6.946258 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt rel_E_err 1.9504853756900423D-13 log_rel_run_E_err -10.1942849416319561 (age_target - star_age)/age_sigma 330 38.1651474907 reducing max timestep prior to age target 330 2.4807345868944359D+08 (age_target - star_age)/age_sigma 331 37.4221317792 reducing max timestep prior to age target 331 2.4324385656509590D+08 (age_target - star_age)/age_sigma 332 36.6939763820 reducing max timestep prior to age target 332 2.3851084648323345D+08 (age_target - star_age)/age_sigma 333 35.9803840928 reducing max timestep prior to age target 333 2.3387249660300922D+08 (age_target - star_age)/age_sigma 334 35.2810636493 reducing max timestep prior to age target 334 2.2932691372038841D+08 (age_target - star_age)/age_sigma 335 34.5957296147 reducing max timestep prior to age target 335 2.2487224249542141D+08 (age_target - star_age)/age_sigma 336 33.9241022608 reducing max timestep prior to age target 336 2.2050666469495296D+08 (age_target - star_age)/age_sigma 337 33.2659074539 reducing max timestep prior to age target 337 2.1622839845049381D+08 (age_target - star_age)/age_sigma 338 32.6208765432 reducing max timestep prior to age target 338 2.1203569753092384D+08 (age_target - star_age)/age_sigma 339 31.9887462507 reducing max timestep prior to age target 339 2.0792685062974548D+08 340 7.208398 5762.501 0.042162 0.042162 1.000000 1.000000 0.314963 0.005512 0.250611 -1.526145 516 1 6.6049E+00 7.208398 0.022533 -41.820863 -1.555225 -99.000000 0.000000 0.665678 0.007993 0.016444 0.122237 5 4.3656E+09 2.209215 0.042204 -99.000000 -99.000000 -6.947510 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt rel_E_err 1.8239053134820336D-13 log_rel_run_E_err -10.1823878125190763 (age_target - star_age)/age_sigma 340 31.3692585641 reducing max timestep prior to age target 340 2.0390018066659069D+08 (age_target - star_age)/age_sigma 341 30.7621606312 reducing max timestep prior to age target 341 1.9995404410269928D+08 (age_target - star_age)/age_sigma 342 30.1672046569 reducing max timestep prior to age target 342 1.9608683027008533D+08 (age_target - star_age)/age_sigma 343 29.5841478022 reducing max timestep prior to age target 343 1.9229696071412373D+08 (age_target - star_age)/age_sigma 344 29.0127520845 reducing max timestep prior to age target 344 1.8858288854928112D+08 (age_target - star_age)/age_sigma 345 28.4527842812 reducing max timestep prior to age target 345 1.8494309782773590D+08 (age_target - star_age)/age_sigma 346 27.9040158339 reducing max timestep prior to age target 346 1.8137610292062187D+08 (age_target - star_age)/age_sigma 347 27.3662227556 reducing max timestep prior to age target 347 1.7788044791164875D+08 (age_target - star_age)/age_sigma 348 26.8391855389 reducing max timestep prior to age target 348 1.7445470600285625D+08 (age_target - star_age)/age_sigma 349 26.3226890665 reducing max timestep prior to age target 349 1.7109747893223953D+08 350 7.209191 5762.914 0.043580 0.043580 1.000000 1.000000 0.311350 0.005536 0.250344 -1.524280 516 1 6.5172E+00 7.209191 0.023179 -41.771665 -1.552497 -99.000000 0.000000 0.669290 0.007967 0.016428 0.122782 5 4.4017E+09 2.212348 0.043620 -99.000000 -99.000000 -6.948532 0.000000 0.000023 0.001974 0.019360 0.000E+00 max_dt rel_E_err 1.8425676977881363D-13 log_rel_run_E_err -10.1707258230911020 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.3103559806 reducing max timestep prior to age target 351 1.6451731387382984D+08 (age_target - star_age)/age_sigma 352 24.8143127685 reducing max timestep prior to age target 352 1.6129303299520969D+08 (age_target - star_age)/age_sigma 353 24.3281904206 reducing max timestep prior to age target 353 1.5813323773416138D+08 (age_target - star_age)/age_sigma 354 23.8517905197 reducing max timestep prior to age target 354 1.5503663837833405D+08 (age_target - star_age)/age_sigma 355 23.3849186169 reducing max timestep prior to age target 355 1.5200197100962353D+08 (age_target - star_age)/age_sigma 356 22.9273841520 reducing max timestep prior to age target 356 1.4902799698828697D+08 (age_target - star_age)/age_sigma 357 22.4790003765 reducing max timestep prior to age target 357 1.4611350244737720D+08 (age_target - star_age)/age_sigma 358 22.0395842765 reducing max timestep prior to age target 358 1.4325729779728603D+08 (age_target - star_age)/age_sigma 359 21.6089564985 reducing max timestep prior to age target 359 1.4045821724019623D+08 360 7.209856 5763.251 0.044763 0.044763 1.000000 1.000000 0.308330 0.005557 0.250123 -1.522713 516 1 6.4382E+00 7.209856 0.023720 -41.730488 -1.550206 -99.000000 0.000000 0.672310 0.007945 0.016415 0.123242 5 4.4318E+09 2.214975 0.044803 -99.000000 -99.000000 -6.949384 0.000000 0.000023 0.001974 0.019360 0.000E+00 max_dt rel_E_err 1.8171082466861921D-13 log_rel_run_E_err -10.1593315672179116 (age_target - star_age)/age_sigma 360 21.1869412760 reducing max timestep prior to age target 360 1.3771511829424858D+08 (age_target - star_age)/age_sigma 361 20.7733663580 reducing max timestep prior to age target 361 1.3502688132721901D+08 (age_target - star_age)/age_sigma 362 20.3680629384 reducing max timestep prior to age target 362 1.3239240909953117D+08 (age_target - star_age)/age_sigma 363 19.9708655871 reducing max timestep prior to age target 363 1.2981062631639576D+08 (age_target - star_age)/age_sigma 364 19.5816121829 reducing max timestep prior to age target 364 1.2728047918892479D+08 (age_target - star_age)/age_sigma 365 19.2001438468 reducing max timestep prior to age target 365 1.2480093500400162D+08 (age_target - star_age)/age_sigma 366 18.8263048774 reducing max timestep prior to age target 366 1.2237098170277786D+08 (age_target - star_age)/age_sigma 367 18.4599426873 reducing max timestep prior to age target 367 1.1998962746757793D+08 (age_target - star_age)/age_sigma 368 18.1009077411 reducing max timestep prior to age target 368 1.1765590031708241D+08 (age_target - star_age)/age_sigma 369 17.7490534938 reducing max timestep prior to age target 369 1.1536884770959759D+08 370 7.210401 5763.521 0.045732 0.045732 1.000000 1.000000 0.305857 0.005575 0.249943 -1.521426 516 1 6.3505E+00 7.210401 0.024163 -41.696726 -1.548322 -99.000000 0.000000 0.674784 0.007926 0.016404 0.123622 5 4.4564E+09 2.217132 0.045771 -15.352530 -99.000000 -6.950080 0.000000 0.000023 0.001974 0.019359 0.000E+00 max_dt rel_E_err 1.8400645145899634D-13 log_rel_run_E_err -10.1482968512068439 (age_target - star_age)/age_sigma 370 17.4042363314 reducing max timestep prior to age target 370 1.1312753615426159D+08 (age_target - star_age)/age_sigma 371 17.0663155123 reducing max timestep prior to age target 371 1.1093105083003235D+08 (age_target - star_age)/age_sigma 372 16.7351531096 reducing max timestep prior to age target 372 1.0877849521228695D+08 (age_target - star_age)/age_sigma 373 16.4106139549 reducing max timestep prior to age target 373 1.0666899070689774D+08 (age_target - star_age)/age_sigma 374 16.0925655833 reducing max timestep prior to age target 374 1.0460167629161644D+08 (age_target - star_age)/age_sigma 375 15.7808781792 reducing max timestep prior to age target 375 1.0257570816463947D+08 (age_target - star_age)/age_sigma 376 15.4754245231 reducing max timestep prior to age target 376 1.0059025940020275D+08 (age_target - star_age)/age_sigma 377 15.1760799402 reducing max timestep prior to age target 377 9.8644519611054420D+07 (age_target - star_age)/age_sigma 378 14.8827222489 reducing max timestep prior to age target 378 9.6737694617689133D+07 (age_target - star_age)/age_sigma 379 14.5952317114 reducing max timestep prior to age target 379 9.4869006124192238D+07 380 7.210849 5763.742 0.046525 0.046525 1.000000 1.000000 0.303832 0.005590 0.249797 -1.520371 517 1 6.2628E+00 7.210849 0.024526 -41.669053 -1.546774 -99.000000 0.000000 0.676809 0.007910 0.016395 0.123935 5 4.4765E+09 2.218901 0.046564 -99.000000 -99.000000 -6.950650 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7011366394745522D-13 log_rel_run_E_err -10.1374384070674655 (age_target - star_age)/age_sigma 380 14.3134909847 reducing max timestep prior to age target 380 9.3037691400564194D+07 (age_target - star_age)/age_sigma 381 14.0373850725 reducing max timestep prior to age target 381 9.1243002971408844D+07 (age_target - star_age)/age_sigma 382 13.7668012786 reducing max timestep prior to age target 382 8.9484208310837746D+07 (age_target - star_age)/age_sigma 383 13.5016291605 reducing max timestep prior to age target 383 8.7760589543476105D+07 (age_target - star_age)/age_sigma 384 13.2417604848 reducing max timestep prior to age target 384 8.6071443151462555D+07 (age_target - star_age)/age_sigma 385 12.9870891827 reducing max timestep prior to age target 385 8.4416079687290192D+07 (age_target - star_age)/age_sigma 387 12.4879334304 reducing max timestep prior to age target 387 8.1171567297510147D+07 (age_target - star_age)/age_sigma 388 12.2433471118 reducing max timestep prior to age target 388 7.9581756226517677D+07 (age_target - star_age)/age_sigma 389 12.0036525195 reducing max timestep prior to age target 389 7.8023741376945496D+07 390 7.211219 5763.918 0.047178 0.047178 1.000000 1.000000 0.302162 0.005602 0.249676 -1.519498 517 1 6.1838E+00 7.211219 0.024826 -41.646221 -1.545495 -99.000000 0.000000 0.678479 0.007897 0.016387 0.124195 5 4.4930E+09 2.220363 0.047216 -99.000000 -99.000000 -6.951118 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7767231626254437D-13 log_rel_run_E_err -10.1269413118928018 (age_target - star_age)/age_sigma 390 11.7687518191 reducing max timestep prior to age target 390 7.6496886824364662D+07 (age_target - star_age)/age_sigma 391 11.5385491327 reducing max timestep prior to age target 391 7.5000569362835884D+07 (age_target - star_age)/age_sigma 392 11.3129505001 reducing max timestep prior to age target 392 7.3534178250536919D+07 (age_target - star_age)/age_sigma 393 11.0918638401 reducing max timestep prior to age target 393 7.2097114960484505D+07 (age_target - star_age)/age_sigma 394 10.8751989133 reducing max timestep prior to age target 394 7.0688792936233521D+07 (age_target - star_age)/age_sigma 395 10.6628672850 reducing max timestep prior to age target 395 6.9308637352466583D+07 (age_target - star_age)/age_sigma 396 10.4547822893 reducing max timestep prior to age target 396 6.7956084880375862D+07 (age_target - star_age)/age_sigma 397 10.2508589935 reducing max timestep prior to age target 397 6.6630583457726479D+07 (age_target - star_age)/age_sigma 398 10.0510141636 reducing max timestep prior to age target 398 6.5331592063529968D+07 (age_target - star_age)/age_sigma 399 9.8551662303 reducing max timestep prior to age target 399 6.4058580497218132D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.211525 5763.927 0.047716 0.047716 1.000000 1.000000 0.300779 0.005612 0.249576 -1.518773 516 1 6.0961E+00 7.211525 0.025093 -41.627308 -1.544436 -99.000000 0.000000 0.679862 0.007886 0.016381 0.124411 5 4.5067E+09 2.221576 0.047754 -15.653560 -99.000000 -6.951475 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7240696508916749D-13 log_rel_run_E_err -10.1166076998727394 (age_target - star_age)/age_sigma 400 9.6632352557 reducing max timestep prior to age target 400 6.2811029162231445D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4751429006 reducing max timestep prior to age target 401 6.1588428853945732D+07 (age_target - star_age)/age_sigma 402 9.2908123926 reducing max timestep prior to age target 402 6.0390280551824570D+07 (age_target - star_age)/age_sigma 403 9.1101684947 reducing max timestep prior to age target 403 5.9216095215745926D+07 (age_target - star_age)/age_sigma 404 8.9331374748 reducing max timestep prior to age target 404 5.8065393586389542D+07 (age_target - star_age)/age_sigma 405 8.7596470753 reducing max timestep prior to age target 405 5.6937705989620209D+07 (age_target - star_age)/age_sigma 406 8.5896264838 reducing max timestep prior to age target 406 5.5832572144785881D+07 (age_target - star_age)/age_sigma 407 8.4230063041 reducing max timestep prior to age target 407 5.4749540976847649D+07 (age_target - star_age)/age_sigma 408 8.2597185280 reducing max timestep prior to age target 408 5.3688170432269096D+07 (age_target - star_age)/age_sigma 409 8.0996965075 reducing max timestep prior to age target 409 5.2648027298582077D+07 410 7.211777 5764.044 0.048158 0.048158 1.000000 1.000000 0.299647 0.005621 0.249495 -1.518180 516 1 6.0083E+00 7.211777 0.025296 -41.611817 -1.543566 -99.000000 0.000000 0.680994 0.007877 0.016377 0.124589 3 4.5179E+09 2.222569 0.048196 -99.000000 -99.000000 -6.951791 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8038893373655967D-13 log_rel_run_E_err -10.1063120420685255 (age_target - star_age)/age_sigma 410 7.9428749273 reducing max timestep prior to age target 410 5.1628687027568817D+07 (age_target - star_age)/age_sigma 411 7.7891897788 reducing max timestep prior to age target 411 5.0629733561975479D+07 (age_target - star_age)/age_sigma 412 7.6385783332 reducing max timestep prior to age target 412 4.9650759165694237D+07 (age_target - star_age)/age_sigma 413 7.4909791165 reducing max timestep prior to age target 413 4.8691364257338524D+07 (age_target - star_age)/age_sigma 414 7.3463318842 reducing max timestep prior to age target 414 4.7751157247150421D+07 (age_target - star_age)/age_sigma 415 7.2045775965 reducing max timestep prior to age target 415 4.6829754377165794D+07 (age_target - star_age)/age_sigma 416 7.0656583946 reducing max timestep prior to age target 416 4.5926779564580917D+07 (age_target - star_age)/age_sigma 417 6.9295175767 reducing max timestep prior to age target 417 4.5041864248247147D+07 (age_target - star_age)/age_sigma 418 6.7960995751 reducing max timestep prior to age target 418 4.4174647238240242D+07 (age_target - star_age)/age_sigma 419 6.6653499336 reducing max timestep prior to age target 419 4.3324774568433762D+07 420 7.211982 5764.138 0.048520 0.048520 1.000000 1.000000 0.298722 0.005628 0.249429 -1.517694 516 1 5.9206E+00 7.211982 0.025463 -41.599147 -1.542854 -99.000000 0.000000 0.681919 0.007870 0.016372 0.124735 3 4.5270E+09 2.223382 0.048557 -99.000000 -99.000000 -6.952049 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8059298281589379D-13 log_rel_run_E_err -10.0960163755765784 (age_target - star_age)/age_sigma 421 6.4090806362 reducing max timestep prior to age target 421 4.1659024135613441D+07 (age_target - star_age)/age_sigma 422 6.2835086805 reducing max timestep prior to age target 422 4.0842806423531532D+07 (age_target - star_age)/age_sigma 423 6.1604481640 reducing max timestep prior to age target 423 4.0042913065690994D+07 (age_target - star_age)/age_sigma 424 6.0398488577 reducing max timestep prior to age target 424 3.9259017575007439D+07 (age_target - star_age)/age_sigma 425 5.9216615376 reducing max timestep prior to age target 425 3.8490799994136810D+07 (age_target - star_age)/age_sigma 426 5.8058379638 reducing max timestep prior to age target 426 3.7737946764883995D+07 (age_target - star_age)/age_sigma 427 5.6923308616 reducing max timestep prior to age target 427 3.7000150600216866D+07 (age_target - star_age)/age_sigma 428 5.5810939014 reducing max timestep prior to age target 428 3.6277110358841896D+07 (age_target - star_age)/age_sigma 429 5.4720816804 reducing max timestep prior to age target 429 3.5568530922295570D+07 430 7.212154 5764.217 0.048821 0.048821 1.000000 1.000000 0.297950 0.005633 0.249374 -1.517288 516 1 5.8416E+00 7.212154 0.025602 -41.588574 -1.542259 -99.000000 0.000000 0.682691 0.007864 0.016369 0.124857 3 4.5346E+09 2.224061 0.048858 -99.000000 -99.000000 -6.952265 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.9383235453993542D-13 log_rel_run_E_err -10.0860941888212139 (age_target - star_age)/age_sigma 430 5.3652497038 reducing max timestep prior to age target 430 3.4874123074479103D+07 (age_target - star_age)/age_sigma 431 5.2605543667 reducing max timestep prior to age target 431 3.4193603383619308D+07 (age_target - star_age)/age_sigma 432 5.1579529364 reducing max timestep prior to age target 432 3.3526694086576462D+07 (age_target - star_age)/age_sigma 433 5.0574035347 reducing max timestep prior to age target 433 3.2873122975475311D+07 (age_target - star_age)/age_sigma 434 4.9582387595 remaining steps and years until age target 434 50 3.2228551936740875D+07 (age_target - star_age)/age_sigma 435 4.8590739843 reducing max timestep prior to age target 435 3.1583980898005486D+07 (age_target - star_age)/age_sigma 436 4.7599092091 reducing max timestep prior to age target 436 3.0939409859270096D+07 (age_target - star_age)/age_sigma 437 4.6607444339 remaining steps and years until age target 437 47 3.0294838820535660D+07 (age_target - star_age)/age_sigma 438 4.5615796587 reducing max timestep prior to age target 438 2.9650267781800270D+07 (age_target - star_age)/age_sigma 439 4.4624148835 remaining steps and years until age target 439 45 2.9005696743065834D+07 440 7.212301 5764.284 0.049079 0.049079 1.000000 1.000000 0.297289 0.005638 0.249326 -1.516941 516 1 5.8093E+00 7.212301 0.025720 -41.579526 -1.541749 -99.000000 0.000000 0.683352 0.007858 0.016366 0.124961 3 4.5411E+09 2.224642 0.049116 -15.653560 -99.000000 -6.952449 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7343581324509773D-13 log_rel_run_E_err -10.0765023044948165 (age_target - star_age)/age_sigma 440 4.3632501084 reducing max timestep prior to age target 440 2.8361125704330444D+07 (age_target - star_age)/age_sigma 441 4.2640853332 reducing max timestep prior to age target 441 2.7716554665595055D+07 (age_target - star_age)/age_sigma 442 4.1649205580 remaining steps and years until age target 442 42 2.7071983626860619D+07 (age_target - star_age)/age_sigma 443 4.0657557828 reducing max timestep prior to age target 443 2.6427412588125229D+07 (age_target - star_age)/age_sigma 444 3.9665910076 remaining steps and years until age target 444 40 2.5782841549390793D+07 (age_target - star_age)/age_sigma 445 3.8674262324 reducing max timestep prior to age target 445 2.5138270510655403D+07 (age_target - star_age)/age_sigma 446 3.7682614572 remaining steps and years until age target 446 38 2.4493699471920967D+07 (age_target - star_age)/age_sigma 447 3.6690966820 reducing max timestep prior to age target 447 2.3849128433185577D+07 (age_target - star_age)/age_sigma 448 3.5699319068 remaining steps and years until age target 448 36 2.3204557394451141D+07 (age_target - star_age)/age_sigma 449 3.4707671316 remaining steps and years until age target 449 35 2.2559986355716705D+07 450 7.212447 5764.350 0.049334 0.049334 1.000000 1.000000 0.296635 0.005643 0.249280 -1.516597 516 1 5.8093E+00 7.212447 0.025838 -41.570563 -1.541244 -99.000000 0.000000 0.684006 0.007853 0.016363 0.125065 3 4.5476E+09 2.225217 0.049371 -99.000000 -99.000000 -6.952631 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.7742585775025142D-13 log_rel_run_E_err -10.0670615250780529 (age_target - star_age)/age_sigma 450 3.3716023565 reducing max timestep prior to age target 450 2.1915415316981316D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2724375813 remaining steps and years until age target 451 33 2.1270844278246880D+07 (age_target - star_age)/age_sigma 452 3.1732728061 remaining steps and years until age target 452 32 2.0626273239512444D+07 (age_target - star_age)/age_sigma 453 3.0741080309 remaining steps and years until age target 453 31 1.9981702200778008D+07 (age_target - star_age)/age_sigma 454 2.9749432557 reducing max timestep prior to age target 454 1.9337131162042618D+07 (age_target - star_age)/age_sigma 455 2.8757784805 remaining steps and years until age target 455 29 1.8692560123308182D+07 (age_target - star_age)/age_sigma 456 2.7766137053 reducing max timestep prior to age target 456 1.8047989084572792D+07 (age_target - star_age)/age_sigma 457 2.6774489301 remaining steps and years until age target 457 27 1.7403418045838356D+07 (age_target - star_age)/age_sigma 458 2.5782841549 remaining steps and years until age target 458 26 1.6758847007103920D+07 (age_target - star_age)/age_sigma 459 2.4791193797 remaining steps and years until age target 459 25 1.6114275968369484D+07 460 7.212592 5764.416 0.049589 0.049589 1.000000 1.000000 0.295981 0.005649 0.249233 -1.516253 516 1 5.8093E+00 7.212592 0.025956 -41.561592 -1.540738 -99.000000 0.000000 0.684661 0.007848 0.016361 0.125169 3 4.5540E+09 2.225793 0.049626 -15.352530 -99.000000 -6.952813 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.7531948928300335D-13 log_rel_run_E_err -10.0580400388040676 (age_target - star_age)/age_sigma 460 2.3799546046 reducing max timestep prior to age target 460 1.5469704929634094D+07 (age_target - star_age)/age_sigma 461 2.2807898294 remaining steps and years until age target 461 23 1.4825133890899658D+07 (age_target - star_age)/age_sigma 462 2.1816250542 reducing max timestep prior to age target 462 1.4180562852164268D+07 (age_target - star_age)/age_sigma 463 2.0824602790 remaining steps and years until age target 463 21 1.3535991813429832D+07 (age_target - star_age)/age_sigma 464 1.9832955038 remaining steps and years until age target 464 20 1.2891420774695396D+07 (age_target - star_age)/age_sigma 465 1.8841307286 remaining steps and years until age target 465 19 1.2246849735960960D+07 (age_target - star_age)/age_sigma 466 1.7849659534 reducing max timestep prior to age target 466 1.1602278697225571D+07 (age_target - star_age)/age_sigma 467 1.6858011782 remaining steps and years until age target 467 17 1.0957707658491135D+07 (age_target - star_age)/age_sigma 468 1.5866364030 reducing max timestep prior to age target 468 1.0313136619755745D+07 (age_target - star_age)/age_sigma 469 1.4874716278 remaining steps and years until age target 469 15 9.6685655810213089D+06 470 7.212738 5764.481 0.049845 0.049845 1.000000 1.000000 0.295326 0.005654 0.249187 -1.515908 516 1 5.8093E+00 7.212738 0.026073 -41.552613 -1.540232 -99.000000 0.000000 0.685316 0.007842 0.016358 0.125273 3 4.5605E+09 2.226370 0.049881 -99.000000 -99.000000 -6.952996 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.7678681305312407D-13 log_rel_run_E_err -10.0493037508634675 (age_target - star_age)/age_sigma 470 1.3883068527 remaining steps and years until age target 470 14 9.0239945422868729D+06 (age_target - star_age)/age_sigma 471 1.2891420775 remaining steps and years until age target 471 13 8.3794235035524368D+06 (age_target - star_age)/age_sigma 472 1.1899773023 reducing max timestep prior to age target 472 7.7348524648170471D+06 (age_target - star_age)/age_sigma 473 1.0908125271 remaining steps and years until age target 473 11 7.0902814260826111D+06 (age_target - star_age)/age_sigma 474 0.9916477519 reducing max timestep prior to age target 474 6.4457103873472214D+06 (age_target - star_age)/age_sigma 475 0.8924829767 remaining steps and years until age target 475 9 5.8011393486127853D+06 (age_target - star_age)/age_sigma 476 0.7933182015 remaining steps and years until age target 476 8 5.1565683098783493D+06 (age_target - star_age)/age_sigma 477 0.6941534263 remaining steps and years until age target 477 7 4.5119972711439133D+06 (age_target - star_age)/age_sigma 478 0.5949886511 reducing max timestep prior to age target 478 3.8674262324085236D+06 (age_target - star_age)/age_sigma 479 0.4958238759 remaining steps and years until age target 479 5 3.2228551936740875D+06 480 7.212884 5764.546 0.050100 0.050100 1.000000 1.000000 0.294671 0.005659 0.249140 -1.515564 516 1 5.8093E+00 7.212884 0.026191 -41.543627 -1.539725 -99.000000 0.000000 0.685971 0.007837 0.016355 0.125378 3 4.5669E+09 2.226947 0.050136 -15.653560 -99.000000 -6.953178 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.8771332388989516D-13 log_rel_run_E_err -10.0404133438929453 (age_target - star_age)/age_sigma 480 0.3966591008 reducing max timestep prior to age target 480 2.5782841549386978D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2974943256 remaining steps and years until age target 481 3 1.9337131162042618D+06 (age_target - star_age)/age_sigma 482 0.1983295504 remaining steps and years until age target 482 2 1.2891420774698257D+06 (age_target - star_age)/age_sigma 483 0.0991647752 remaining steps and years until age target 483 1 6.4457103873538971D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71 save outputs/best.mod 484 save outputs/best.profile for model 484 save LOGS/profile11.data for model 484 have reached age_target save LOGS/profile11.data for model 484 solver retries 3 varcontrol dt limit 81 max increase dt limit 1074 lgRho_cntr dt limit 37 model saved to final.mod save photos/x484 for model 484 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71 have reached age_target runtime (minutes), retries, steps 3.09 1 484 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 484 7.212943 5764.572 0.050203 0.050203 1.000000 1.000000 0.294409 0.005661 0.249121 -1.515426 516 1 5.8093E+00 7.212943 0.026238 -41.540030 -1.539521 -99.000000 0.000000 0.686233 0.007835 0.016354 0.125420 3 4.5695E+09 2.227178 0.050239 -15.352530 -99.000000 -6.953251 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.9044420376648078D-13 log_rel_run_E_err -10.0369028534753699 Teff 5764.5719399271 radius 1.0622782376 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 3878.5788762471 M_H -0.0127881998 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 163.5380535369 log_R 0.0262382844 delta_nu 129.3843509383 nu_max 2729.4282123454 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2835000000 initial_FeH 0.0600000000 alpha 2.0000000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 334680.7056432614 model number 484 save best model results to outputs/sample_0002.data current set of sample results 1 2 3 4 5 6 7 8 samples version_number compiler build MESA_SDK_version math_backend date search_type 2 "7067e26" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251202" "newuoa" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first 1 3.3351283960191364E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763963E+03 1.0231407131234020E+00 -1.7395981953360481E-03 9.9353665865702778E-03 1.3680762272705823E+02 2.9640776267831352E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191364E+05 0 0 0 0 0 0 0 2 3.3468070564326138E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271320E+03 1.0622782375814146E+00 -1.2788199777018321E-02 2.6238284372326726E-02 1.2938435093834121E+02 2.7294282123454341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326138E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 8.6999999999999994D-02 4.5000000000000001D-01 next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.726 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953960 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571845 -99.000000 -99.000000 -7.767405 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.871 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515110 -99.000000 -99.000000 -7.738508 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.701 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488594 -99.000000 -99.000000 -7.719977 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.152 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 3.9000E-04 -1.867438 1.472452 -99.000000 -99.000000 -7.707416 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.527 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 4.9000E-04 -1.867438 1.461235 -99.000000 -99.000000 -7.698204 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562815646042354D-01 20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0 7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246319721660051D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -20.896008 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692957329111614D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1010577170663625D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.622719 4306.186 -4.896792 -4.896792 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028733 457 0 -4.2874E+00 6.622719 0.262153 -99.000000 -6.294540 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 5 2.5959E-04 0.157517 0.015371 -20.169010 -99.000000 -6.906603 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6869106049551408D-13 log_rel_run_E_err -11.5845273056104912 20 6.622720 4315.875 -4.896793 -4.896793 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028733 457 0 -3.4956E+00 6.622720 0.262165 -99.000000 -6.294541 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 3 1.8669E-03 0.157519 0.019299 -99.000000 -99.000000 -6.911070 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7799476751251426D-13 log_rel_run_E_err -11.2772862821967017 30 6.622723 4316.396 -4.896792 -4.896792 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -2.7037E+00 6.622723 0.262177 -99.000000 -6.294540 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 1.1819E-02 0.157524 0.019534 -20.771070 -99.000000 -6.911323 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6348098409043383D-13 log_rel_run_E_err -11.0987180281517528 40 6.622726 4315.712 -4.896790 -4.896790 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -1.9119E+00 6.622726 0.262184 -99.000000 -6.294538 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 4 7.3439E-02 0.157527 0.019271 -20.470040 -99.000000 -6.911018 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.3073193316157054D-13 log_rel_run_E_err -10.9760191701794003 50 6.622726 4313.963 -4.896789 -4.896789 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -1.1201E+00 6.622726 0.262173 -99.000000 -6.294537 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 6 4.5497E-01 0.157527 0.018545 -20.293948 -99.000000 -6.910205 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6255059655111559D-13 log_rel_run_E_err -10.8771209383699876 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.622726 4313.925 -4.896788 -4.896788 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -3.2831E-01 6.622726 0.262172 -99.000000 -6.294536 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 2.8173E+00 0.157528 0.018529 -99.000000 -99.000000 -6.910187 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7204028424176907D-13 log_rel_run_E_err -10.7981296757432705 70 6.622727 4313.925 -4.896779 -4.896779 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028728 457 0 4.6351E-01 6.622727 0.262172 -99.000000 -6.294527 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 1.7444E+01 0.157531 0.018527 -99.000000 -99.000000 -6.910186 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5920062558968083D-13 log_rel_run_E_err -10.7316634750410049 80 6.622732 4313.919 -4.896727 -4.896727 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028704 457 0 1.2553E+00 6.622732 0.262166 -99.000000 -6.294475 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 1.0801E+02 0.157548 0.018514 -99.000000 -99.000000 -6.910177 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7278043219034701D-13 log_rel_run_E_err -10.6731378939814263 90 6.622762 4313.884 -4.896401 -4.896401 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028559 457 0 2.0471E+00 6.622762 0.262132 -99.000000 -6.294149 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 2 6.6878E+02 0.157655 0.018431 -20.072100 -99.000000 -6.910119 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6624635783199501D-13 log_rel_run_E_err -10.6215812791094244 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.622946 4313.669 -4.894384 -4.894384 1.000000 1.000000 0.710106 0.001005 0.270000 -4.027662 457 0 2.8389E+00 6.622946 0.261920 -99.000000 -6.292132 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072049 2 4.1409E+03 0.158320 0.017921 -20.293948 -99.000000 -6.909765 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5662880260989670D-13 log_rel_run_E_err -10.5761284123390702 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.624079 4312.342 -4.881988 -4.881988 1.000000 1.000000 0.710106 0.001005 0.270000 -4.022123 457 0 3.6308E+00 6.624079 0.260618 -99.000000 -6.279735 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072088 2 2.5639E+04 0.162410 0.014782 -99.000000 -99.000000 -6.907581 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.2858610598663225D-13 log_rel_run_E_err -10.5364176488958119 120 6.630764 4304.303 -4.808418 -4.808418 1.000000 1.000000 0.710106 0.001005 0.270000 -3.988484 457 0 4.4226E+00 6.630764 0.252867 -99.000000 -6.206160 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072337 3 1.5875E+05 0.186959 -0.003960 -99.000000 -99.000000 -6.894484 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 3.9842816985217818D-13 log_rel_run_E_err -10.5031418741515115 130 6.662762 4262.366 -4.443936 -4.443936 1.000000 1.000000 0.710105 0.001005 0.270000 -3.799859 459 0 5.2144E+00 6.662762 0.213985 -99.000000 -5.841643 -99.000000 0.000000 0.270000 0.009331 0.019894 0.074213 3 9.8295E+05 0.316315 -0.098734 -99.000000 -99.000000 -6.827131 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.3615783053444078D-11 log_rel_run_E_err -10.2219484201013096 140 6.749709 4192.007 -3.434874 -3.434874 1.000000 1.000000 0.710102 0.001005 0.269999 -3.104305 467 0 5.8577E+00 6.749709 0.110503 -99.000000 -4.832384 -99.000000 0.000000 0.270003 0.009331 0.019894 0.084450 4 5.4941E+06 0.745520 -0.334612 -99.000000 -99.000000 -6.663785 0.000000 0.003429 0.002074 0.019894 0.000E+00 varcontrol rel_E_err 2.4214316981944879D-13 log_rel_run_E_err -10.3197383326142411 150 6.868601 4496.668 -2.253688 -2.253688 1.000000 1.000000 0.710088 0.001005 0.269993 -2.223868 473 0 6.0088E+00 6.868601 0.036433 -99.000000 -3.650488 -99.000000 0.000000 0.270017 0.009331 0.019894 0.098089 4 1.5141E+07 1.297238 -0.360877 -17.283648 -99.000000 -6.714681 0.000000 0.003429 0.002074 0.019895 0.000E+00 lgRho_cntr rel_E_err 2.0394624306006206D-13 log_rel_run_E_err -10.4348423348829407 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.046838 5353.783 -0.818032 -0.818032 1.000000 1.000000 0.709913 0.001022 0.269970 -1.549552 489 0 6.1334E+00 7.046838 0.011673 -51.759826 -2.259873 -99.000000 0.000000 0.270189 0.009332 0.019892 0.098989 5 2.7457E+07 1.843683 -0.107318 -99.000000 -99.000000 -6.847198 0.000000 0.003414 0.002074 0.019898 0.000E+00 lgRho_cntr rel_E_err 1.6922228975527027D-13 log_rel_run_E_err -10.5739839726079445 (age_target - star_age)/age_sigma 168 694.7514474964 reducing max timestep prior to age target 168 4.5158844087264700D+09 170 7.128249 5516.078 -0.179266 -0.179266 1.000000 1.000000 0.707745 0.003384 0.269734 -1.726831 507 0 6.9128E+00 7.128249 -0.049816 -47.364544 -1.779651 -99.000000 0.000000 0.272015 0.009334 0.019877 0.085495 5 6.8613E+07 1.894313 -0.178416 -15.653560 -99.000000 -6.804894 0.000000 0.001391 0.002075 0.020240 0.000E+00 max increase rel_E_err 1.9068143521040867D-13 log_rel_run_E_err -10.5983773492550490 (age_target - star_age)/age_sigma 176 677.4473861522 reducing max timestep prior to age target 176 4.4034080099894104D+09 (age_target - star_age)/age_sigma 179 661.0324369389 reducing max timestep prior to age target 179 4.2967108401029224D+09 180 7.128729 5536.217 -0.162195 -0.162195 1.000000 1.000000 0.691334 0.005002 0.268174 -1.677290 500 0 7.7046E+00 7.128729 -0.044841 -47.219844 -1.818361 -99.000000 0.000000 0.288160 0.009348 0.019777 0.087930 10 3.2344E+08 1.919490 -0.162136 -15.477469 -99.000000 -6.814263 0.000000 0.000015 0.002078 0.020506 0.000E+00 max increase rel_E_err 1.8925852638283255D-13 log_rel_run_E_err -10.5691252721817079 (age_target - star_age)/age_sigma 180 653.2398456640 reducing max timestep prior to age target 180 4.2460589968161507D+09 (age_target - star_age)/age_sigma 182 632.6674046983 reducing max timestep prior to age target 182 4.1123381305390720D+09 (age_target - star_age)/age_sigma 183 620.3484608406 reducing max timestep prior to age target 183 4.0322649954640923D+09 (age_target - star_age)/age_sigma 184 608.2758958601 reducing max timestep prior to age target 184 3.9537933230906124D+09 (age_target - star_age)/age_sigma 185 596.4447821792 reducing max timestep prior to age target 185 3.8768910841646018D+09 (age_target - star_age)/age_sigma 186 584.8502907719 reducing max timestep prior to age target 186 3.8015268900171118D+09 (age_target - star_age)/age_sigma 187 573.4876891927 reducing max timestep prior to age target 187 3.7276699797525711D+09 (age_target - star_age)/age_sigma 188 562.3523396451 reducing max timestep prior to age target 188 3.6552902076933217D+09 (age_target - star_age)/age_sigma 189 551.4396970885 reducing max timestep prior to age target 189 3.5843580310752573D+09 190 7.136787 5555.723 -0.140923 -0.140923 1.000000 1.000000 0.638442 0.005043 0.263728 -1.656252 506 0 7.8421E+00 7.136787 -0.037253 -46.560257 -1.804413 -99.000000 0.000000 0.340945 0.009383 0.019489 0.091456 10 1.0547E+09 1.953893 -0.140849 -99.000000 -99.000000 -6.827012 0.000000 0.000015 0.002089 0.020614 0.000E+00 max_dt rel_E_err 1.7487166052475135D-13 log_rel_run_E_err -10.5419072481373330 (age_target - star_age)/age_sigma 190 540.7453073830 reducing max timestep prior to age target 190 3.5148444979895539D+09 (age_target - star_age)/age_sigma 191 530.2648054716 reducing max timestep prior to age target 191 3.4467212355655646D+09 (age_target - star_age)/age_sigma 192 519.9939135985 reducing max timestep prior to age target 192 3.3799604383900552D+09 (age_target - star_age)/age_sigma 193 509.9284395628 reducing max timestep prior to age target 193 3.3145348571580563D+09 (age_target - star_age)/age_sigma 194 500.0642750078 reducing max timestep prior to age target 194 3.2504177875506968D+09 (age_target - star_age)/age_sigma 195 490.3973937439 reducing max timestep prior to age target 195 3.1875830593354845D+09 (age_target - star_age)/age_sigma 196 480.9238501053 reducing max timestep prior to age target 196 3.1260050256845770D+09 (age_target - star_age)/age_sigma 197 471.6397773395 reducing max timestep prior to age target 197 3.0656585527066875D+09 (age_target - star_age)/age_sigma 198 462.5413860290 reducing max timestep prior to age target 198 3.0065190091883554D+09 (age_target - star_age)/age_sigma 199 453.6249625447 reducing max timestep prior to age target 199 2.9485622565403905D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.144277 5571.259 -0.123239 -0.123239 1.000000 1.000000 0.592579 0.005083 0.259993 -1.638143 507 0 7.7543E+00 7.144277 -0.030836 -45.985028 -1.784881 -99.000000 0.000000 0.386719 0.009404 0.019244 0.094788 10 1.6777E+09 1.984784 -0.123165 -99.000000 -99.000000 -6.838175 0.000000 0.000016 0.002098 0.020703 0.000E+00 max_dt rel_E_err 2.0151839792724164D-13 log_rel_run_E_err -10.5157798843861219 (age_target - star_age)/age_sigma 200 444.8868675301 reducing max timestep prior to age target 200 2.8917646389453845D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 436.3235344157 reducing max timestep prior to age target 201 2.8361029737022791D+09 (age_target - star_age)/age_sigma 202 427.9314679637 reducing max timestep prior to age target 202 2.7815545417640352D+09 (age_target - star_age)/age_sigma 204 411.4830177177 reducing max timestep prior to age target 204 2.6746396151650772D+09 (age_target - star_age)/age_sigma 205 403.4232770972 reducing max timestep prior to age target 205 2.6222513011315880D+09 (age_target - star_age)/age_sigma 206 395.5247312890 reducing max timestep prior to age target 206 2.5709107533787689D+09 (age_target - star_age)/age_sigma 207 387.7841563971 reducing max timestep prior to age target 207 2.5205970165810056D+09 (age_target - star_age)/age_sigma 208 380.1983930030 reducing max timestep prior to age target 208 2.4712895545191979D+09 (age_target - star_age)/age_sigma 209 372.7643448767 reducing max timestep prior to age target 209 2.4229682416986265D+09 210 7.150876 5583.880 -0.108223 -0.108223 1.000000 1.000000 0.554041 0.005123 0.256923 -1.622012 508 0 7.6754E+00 7.150876 -0.025293 -45.497280 -1.766588 -99.000000 0.000000 0.425185 0.009413 0.019042 0.097852 10 2.1939E+09 2.011836 -0.108149 -99.000000 -99.000000 -6.847817 0.000000 0.000016 0.002105 0.020774 0.000E+00 max_dt rel_E_err 1.8664433415569084D-13 log_rel_run_E_err -10.4907019789075786 (age_target - star_age)/age_sigma 210 365.4789777130 reducing max timestep prior to age target 210 2.3756133551344662D+09 (age_target - star_age)/age_sigma 211 358.3393178926 reducing max timestep prior to age target 211 2.3292055663015890D+09 (age_target - star_age)/age_sigma 212 351.3424512685 reducing max timestep prior to age target 212 2.2837259332453699D+09 (age_target - star_age)/age_sigma 213 344.4855219770 reducing max timestep prior to age target 213 2.2391558928502746D+09 (age_target - star_age)/age_sigma 214 337.7657312712 reducing max timestep prior to age target 214 2.1954772532630816D+09 (age_target - star_age)/age_sigma 215 331.1803363796 reducing max timestep prior to age target 215 2.1526721864676323D+09 (age_target - star_age)/age_sigma 216 324.7266493859 reducing max timestep prior to age target 216 2.1107232210080924D+09 (age_target - star_age)/age_sigma 217 318.4020361320 reducing max timestep prior to age target 217 2.0696132348577428D+09 (age_target - star_age)/age_sigma 218 312.2039151431 reducing max timestep prior to age target 218 2.0293254484304004D+09 (age_target - star_age)/age_sigma 219 306.1297565741 reducing max timestep prior to age target 219 1.9898434177316046D+09 220 7.156591 5593.960 -0.095553 -0.095553 1.000000 1.000000 0.521946 0.005162 0.254408 -1.607876 508 0 7.5876E+00 7.156591 -0.020526 -45.086822 -1.750267 -99.000000 0.000000 0.457223 0.009412 0.018877 0.100615 10 2.6183E+09 2.035175 -0.095480 -99.000000 -99.000000 -6.856100 0.000000 0.000017 0.002111 0.020831 0.000E+00 max_dt rel_E_err 1.7236086211627943D-13 log_rel_run_E_err -10.4670580699649758 (age_target - star_age)/age_sigma 220 300.1770811764 reducing max timestep prior to age target 220 1.9511510276467848D+09 (age_target - star_age)/age_sigma 221 294.3434592867 reducing max timestep prior to age target 221 1.9132324853636618D+09 (age_target - star_age)/age_sigma 222 288.6265098348 reducing max timestep prior to age target 222 1.8760723139262009D+09 (age_target - star_age)/age_sigma 223 283.0238993719 reducing max timestep prior to age target 223 1.8396553459174891D+09 (age_target - star_age)/age_sigma 224 277.5333411183 reducing max timestep prior to age target 224 1.8039667172689519D+09 (age_target - star_age)/age_sigma 225 272.1525940298 reducing max timestep prior to age target 225 1.7689918611933851D+09 (age_target - star_age)/age_sigma 226 266.8794618830 reducing max timestep prior to age target 226 1.7347165022393298D+09 (age_target - star_age)/age_sigma 227 261.7117923791 reducing max timestep prior to age target 227 1.7011266504643559D+09 (age_target - star_age)/age_sigma 228 256.6474762654 reducing max timestep prior to age target 228 1.6682085957248812D+09 (age_target - star_age)/age_sigma 229 251.6844464739 reducing max timestep prior to age target 229 1.6359489020801959D+09 230 7.161476 5602.009 -0.084964 -0.084964 1.000000 1.000000 0.495424 0.005199 0.252368 -1.595687 508 0 7.4999E+00 7.161476 -0.016481 -44.743847 -1.736040 -99.000000 0.000000 0.483701 0.009404 0.018743 0.103061 10 2.9652E+09 2.055059 -0.084893 -15.477469 -99.000000 -6.863061 0.000000 0.000017 0.002116 0.020875 0.000E+00 max_dt rel_E_err 1.8695153592291943D-13 log_rel_run_E_err -10.4446292672328198 (age_target - star_age)/age_sigma 230 246.8206772782 reducing max timestep prior to age target 230 1.6043344023084040D+09 (age_target - star_age)/age_sigma 231 242.0541834665 reducing max timestep prior to age target 231 1.5733521925320487D+09 (age_target - star_age)/age_sigma 232 237.3830195310 reducing max timestep prior to age target 232 1.5429896269512200D+09 (age_target - star_age)/age_sigma 233 232.8052788742 reducing max timestep prior to age target 233 1.5132343126820083D+09 (age_target - star_age)/age_sigma 234 228.3190930305 reducing max timestep prior to age target 234 1.4840741046981802D+09 (age_target - star_age)/age_sigma 235 223.9226309037 reducing max timestep prior to age target 235 1.4554971008740292D+09 (age_target - star_age)/age_sigma 236 219.6140980194 reducing max timestep prior to age target 236 1.4274916371263609D+09 (age_target - star_age)/age_sigma 238 211.1693735663 reducing max timestep prior to age target 238 1.3726009281809316D+09 (age_target - star_age)/age_sigma 239 207.0314585843 reducing max timestep prior to age target 239 1.3457044807976708D+09 240 7.165640 5608.445 -0.076096 -0.076096 1.000000 1.000000 0.473410 0.005235 0.250684 -1.585234 507 0 7.4209E+00 7.165640 -0.013045 -44.456185 -1.723708 -99.000000 0.000000 0.505681 0.009391 0.018632 0.105213 10 3.2502E+09 2.071962 -0.076027 -99.000000 -99.000000 -6.868955 0.000000 0.000018 0.002120 0.020909 0.000E+00 max_dt rel_E_err 1.7522815857644751D-13 log_rel_run_E_err -10.4237033549081648 (age_target - star_age)/age_sigma 240 202.9763019019 reducing max timestep prior to age target 240 1.3193459623620758D+09 (age_target - star_age)/age_sigma 241 199.0022483531 reducing max timestep prior to age target 241 1.2935146142951922D+09 (age_target - star_age)/age_sigma 242 195.1076758753 reducing max timestep prior to age target 242 1.2681998931896462D+09 (age_target - star_age)/age_sigma 243 191.2909948471 reducing max timestep prior to age target 243 1.2433914665062113D+09 (age_target - star_age)/age_sigma 244 187.5506474395 reducing max timestep prior to age target 244 1.2190792083564453D+09 (age_target - star_age)/age_sigma 245 183.8851069799 reducing max timestep prior to age target 245 1.1952531953696747D+09 (age_target - star_age)/age_sigma 246 180.2928773296 reducing max timestep prior to age target 246 1.1719037026426396D+09 (age_target - star_age)/age_sigma 247 176.7724922723 reducing max timestep prior to age target 247 1.1490211997701449D+09 (age_target - star_age)/age_sigma 248 173.3225149162 reducing max timestep prior to age target 248 1.1265963469550996D+09 (age_target - star_age)/age_sigma 249 169.9415371071 reducing max timestep prior to age target 249 1.1046199911963558D+09 250 7.169199 5613.665 -0.068624 -0.068624 1.000000 1.000000 0.454997 0.005269 0.249310 -1.576252 510 0 7.3332E+00 7.169199 -0.010118 -44.213481 -1.713011 -99.000000 0.000000 0.524066 0.009375 0.018541 0.107105 10 3.4864E+09 2.086378 -0.068556 -99.000000 -99.000000 -6.873930 0.000000 0.000018 0.002123 0.020937 0.000E+00 max_dt rel_E_err 1.8556788411980014D-13 log_rel_run_E_err -10.4037781930563433 (age_target - star_age)/age_sigma 250 166.6281788543 reducing max timestep prior to age target 250 1.0830831625527868D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 163.3810877665 reducing max timestep prior to age target 251 1.0619770704820895D+09 (age_target - star_age)/age_sigma 252 160.1989385004 reducing max timestep prior to age target 252 1.0412931002528057D+09 (age_target - star_age)/age_sigma 253 157.0804322197 reducing max timestep prior to age target 253 1.0210228094281077D+09 (age_target - star_age)/age_sigma 254 154.0242960646 reducing max timestep prior to age target 254 1.0011579244199038D+09 (age_target - star_age)/age_sigma 255 151.0292826326 reducing max timestep prior to age target 255 9.8169033711186361D+08 (age_target - star_age)/age_sigma 256 148.0941694692 reducing max timestep prior to age target 256 9.6261210154998446D+08 (age_target - star_age)/age_sigma 257 145.2177585691 reducing max timestep prior to age target 257 9.4391543069934273D+08 (age_target - star_age)/age_sigma 258 142.3988758870 reducing max timestep prior to age target 258 9.2559269326571417D+08 (age_target - star_age)/age_sigma 259 139.6363708586 reducing max timestep prior to age target 259 9.0763641058075809D+08 260 7.172184 5617.836 -0.062435 -0.062435 1.000000 1.000000 0.439836 0.005300 0.248155 -1.568688 511 0 7.2454E+00 7.172184 -0.007670 -44.012117 -1.703932 -99.000000 0.000000 0.539205 0.009358 0.018465 0.108730 10 3.6795E+09 2.098448 -0.062370 -99.000000 -99.000000 -6.878088 0.000000 0.000019 0.002126 0.020959 0.000E+00 max_dt rel_E_err 1.8344040580048402D-13 log_rel_run_E_err -10.3843740223963419 (age_target - star_age)/age_sigma 260 136.9291159307 reducing max timestep prior to age target 260 8.9003925354950094D+08 (age_target - star_age)/age_sigma 261 134.2760061014 reducing max timestep prior to age target 261 8.7279403965886879D+08 (age_target - star_age)/age_sigma 262 131.6759584686 reducing max timestep prior to age target 262 8.5589373004604959D+08 (age_target - star_age)/age_sigma 263 129.1279117885 reducing max timestep prior to age target 263 8.3933142662548685D+08 (age_target - star_age)/age_sigma 264 126.6308260421 reducing max timestep prior to age target 264 8.2310036927333546D+08 (age_target - star_age)/age_sigma 265 124.1836820105 reducing max timestep prior to age target 265 8.0719393306822681D+08 (age_target - star_age)/age_sigma 266 121.7854808596 reducing max timestep prior to age target 266 7.9160562558722019D+08 (age_target - star_age)/age_sigma 267 119.4352437317 reducing max timestep prior to age target 267 7.7632908425583410D+08 (age_target - star_age)/age_sigma 268 117.1320113463 reducing max timestep prior to age target 268 7.6135807375107527D+08 (age_target - star_age)/age_sigma 269 114.8748436087 reducing max timestep prior to age target 269 7.4668648345641184D+08 270 7.174677 5621.171 -0.057325 -0.057325 1.000000 1.000000 0.427366 0.005328 0.247233 -1.562345 512 0 7.1577E+00 7.174677 -0.005631 -43.845427 -1.696279 -99.000000 0.000000 0.551659 0.009340 0.018404 0.110116 10 3.8372E+09 2.108517 -0.057261 -99.000000 -99.000000 -6.881523 0.000000 0.000019 0.002128 0.020976 0.000E+00 max_dt rel_E_err 1.8544007639930190D-13 log_rel_run_E_err -10.3658824409870203 (age_target - star_age)/age_sigma 270 112.6628192258 reducing max timestep prior to age target 270 7.3230832496764183D+08 (age_target - star_age)/age_sigma 271 110.4950353306 reducing max timestep prior to age target 271 7.1821772964864683D+08 (age_target - star_age)/age_sigma 273 106.2461788959 reducing max timestep prior to age target 273 6.9060016282341719D+08 (age_target - star_age)/age_sigma 274 104.1642392429 reducing max timestep prior to age target 274 6.7706755507905483D+08 (age_target - star_age)/age_sigma 275 102.1239383830 reducing max timestep prior to age target 275 6.6380559948957920D+08 (age_target - star_age)/age_sigma 276 100.1244435403 reducing max timestep prior to age target 276 6.5080888301189327D+08 (age_target - star_age)/age_sigma 277 98.1649385944 reducing max timestep prior to age target 277 6.3807210086376143D+08 (age_target - star_age)/age_sigma 278 96.2446237475 reducing max timestep prior to age target 278 6.2559005435859203D+08 (age_target - star_age)/age_sigma 279 94.3627151975 reducing max timestep prior to age target 279 6.1335764878352642D+08 280 7.176787 5623.920 -0.053037 -0.053037 1.000000 1.000000 0.416954 0.005353 0.246478 -1.556980 515 0 7.0787E+00 7.176787 -0.003912 -43.705359 -1.689747 -99.000000 0.000000 0.562057 0.009323 0.018354 0.111307 6 3.9681E+09 2.117022 -0.052974 -99.000000 -99.000000 -6.884410 0.000000 0.000019 0.002130 0.020989 0.000E+00 max_dt rel_E_err 1.8294845331922602D-13 log_rel_run_E_err -10.3475516874277744 (age_target - star_age)/age_sigma 280 92.5184448185 reducing max timestep prior to age target 280 6.0136989131996155D+08 (age_target - star_age)/age_sigma 281 90.7110598470 reducing max timestep prior to age target 281 5.8962188900566769D+08 (age_target - star_age)/age_sigma 282 88.9398225750 reducing max timestep prior to age target 282 5.7810884673765993D+08 (age_target - star_age)/age_sigma 283 87.2040100485 reducing max timestep prior to age target 283 5.6682606531501245D+08 (age_target - star_age)/age_sigma 284 85.5029137724 reducing max timestep prior to age target 284 5.5576893952081823D+08 (age_target - star_age)/age_sigma 285 83.8358394219 reducing max timestep prior to age target 285 5.4493295624250746D+08 (age_target - star_age)/age_sigma 286 82.2021065584 reducing max timestep prior to age target 286 5.3431369262976360D+08 (age_target - star_age)/age_sigma 287 80.6010483522 reducing max timestep prior to age target 287 5.2390681428927422D+08 (age_target - star_age)/age_sigma 288 79.0320113101 reducing max timestep prior to age target 288 5.1370807351559448D+08 (age_target - star_age)/age_sigma 289 77.4943550088 reducing max timestep prior to age target 289 5.0371330755738831D+08 290 7.178545 5626.098 -0.049502 -0.049502 1.000000 1.000000 0.408367 0.005376 0.245866 -1.552489 515 0 6.9910E+00 7.178545 -0.002481 -43.589377 -1.684278 -99.000000 0.000000 0.570633 0.009306 0.018313 0.112316 5 4.0756E+09 2.124106 -0.049440 -15.954590 -99.000000 -6.886789 0.000000 0.000019 0.002131 0.021000 0.000E+00 max_dt rel_E_err 1.9015318826497036D-13 log_rel_run_E_err -10.3298889747739651 (age_target - star_age)/age_sigma 290 75.9874518336 reducing max timestep prior to age target 290 4.9391843691834641D+08 (age_target - star_age)/age_sigma 291 74.5106867219 reducing max timestep prior to age target 291 4.8431946369208574D+08 (age_target - star_age)/age_sigma 292 73.0634569124 reducing max timestep prior to age target 292 4.7491246993034935D+08 (age_target - star_age)/age_sigma 293 71.6451716991 reducing max timestep prior to age target 293 4.6569361604384804D+08 (age_target - star_age)/age_sigma 294 70.2552521900 reducing max timestep prior to age target 294 4.5665913923507690D+08 (age_target - star_age)/age_sigma 295 68.8931310712 reducing max timestep prior to age target 295 4.4780535196248150D+08 (age_target - star_age)/age_sigma 296 67.5582523747 reducing max timestep prior to age target 296 4.3912864043533754D+08 (age_target - star_age)/age_sigma 297 66.2500712521 reducing max timestep prior to age target 297 4.3062546313873672D+08 (age_target - star_age)/age_sigma 298 64.9680537520 reducing max timestep prior to age target 298 4.2229234938806772D+08 (age_target - star_age)/age_sigma 299 63.7116766019 reducing max timestep prior to age target 299 4.1412589791241217D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.180000 5627.849 -0.046597 -0.046597 1.000000 1.000000 0.401322 0.005395 0.245369 -1.548768 515 0 6.9033E+00 7.180000 -0.001300 -43.493812 -1.679728 -99.000000 0.000000 0.577670 0.009291 0.018280 0.113161 5 4.1634E+09 2.129966 -0.046536 -15.954590 -99.000000 -6.888744 0.000000 0.000020 0.002132 0.021008 0.000E+00 max_dt rel_E_err 1.9414923437285319D-13 log_rel_run_E_err -10.3129295504677412 (age_target - star_age)/age_sigma 300 62.4804269948 reducing max timestep prior to age target 300 4.0612277546626949D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.2738023799 reducing max timestep prior to age target 301 3.9827971546904993D+08 (age_target - star_age)/age_sigma 302 60.0913102572 reducing max timestep prior to age target 302 3.9059351667177486D+08 (age_target - star_age)/age_sigma 303 58.9324679770 reducing max timestep prior to age target 303 3.8306104185044479D+08 (age_target - star_age)/age_sigma 304 57.7968025424 reducing max timestep prior to age target 304 3.7567921652554178D+08 (age_target - star_age)/age_sigma 305 56.6838504165 reducing max timestep prior to age target 305 3.6844502770713663D+08 (age_target - star_age)/age_sigma 306 55.5931573331 reducing max timestep prior to age target 306 3.6135552266509962D+08 (age_target - star_age)/age_sigma 308 53.4553988896 reducing max timestep prior to age target 308 3.4746009278270721D+08 (age_target - star_age)/age_sigma 309 52.4078972524 reducing max timestep prior to age target 309 3.4065133214033508D+08 310 7.181209 5629.268 -0.044199 -0.044199 1.000000 1.000000 0.395512 0.005412 0.244964 -1.545678 515 0 6.8243E+00 7.181209 -0.000320 -43.414727 -1.675933 -99.000000 0.000000 0.583473 0.009278 0.018253 0.113870 5 4.2355E+09 2.134829 -0.044139 -99.000000 -99.000000 -6.890358 0.000000 0.000020 0.002133 0.021015 0.000E+00 max_dt rel_E_err 1.5908467227343702D-13 log_rel_run_E_err -10.2970014388126447 (age_target - star_age)/age_sigma 310 51.3813456478 reducing max timestep prior to age target 310 3.3397874671081066D+08 (age_target - star_age)/age_sigma 311 50.3753250754 reducing max timestep prior to age target 311 3.2743961298987627D+08 (age_target - star_age)/age_sigma 312 49.3894249144 reducing max timestep prior to age target 312 3.2103126194336033D+08 (age_target - star_age)/age_sigma 313 48.4232427566 reducing max timestep prior to age target 313 3.1475107791777515D+08 (age_target - star_age)/age_sigma 314 47.4763842420 reducing max timestep prior to age target 314 3.0859649757270145D+08 (age_target - star_age)/age_sigma 315 46.5484628976 reducing max timestep prior to age target 315 3.0256500883452940D+08 (age_target - star_age)/age_sigma 316 45.6390999802 reducing max timestep prior to age target 316 2.9665414987112093D+08 (age_target - star_age)/age_sigma 317 44.7479243211 reducing max timestep prior to age target 317 2.9086150808697987D+08 (age_target - star_age)/age_sigma 318 43.8745721752 reducing max timestep prior to age target 318 2.8518471913852215D+08 (age_target - star_age)/age_sigma 319 43.0186870722 reducing max timestep prior to age target 319 2.7962146596903324D+08 320 7.182220 5630.429 -0.042203 -0.042203 1.000000 1.000000 0.390681 0.005427 0.244629 -1.543094 515 0 6.7366E+00 7.182220 0.000498 -43.348795 -1.672748 -99.000000 0.000000 0.588299 0.009267 0.018231 0.114468 5 4.2953E+09 2.138892 -0.042144 -15.477469 -99.000000 -6.891702 0.000000 0.000020 0.002134 0.021021 0.000E+00 max_dt rel_E_err 1.9595292018077457D-13 log_rel_run_E_err -10.2811851466410769 (age_target - star_age)/age_sigma 320 42.1799196712 reducing max timestep prior to age target 320 2.7416947786293411D+08 (age_target - star_age)/age_sigma 321 41.3579276183 reducing max timestep prior to age target 321 2.6882652951895714D+08 (age_target - star_age)/age_sigma 322 40.5523754064 reducing max timestep prior to age target 322 2.6359044014186001D+08 (age_target - star_age)/age_sigma 323 39.7629342388 reducing max timestep prior to age target 323 2.5845907255230522D+08 (age_target - star_age)/age_sigma 324 38.9892818945 reducing max timestep prior to age target 324 2.5343033231454086D+08 (age_target - star_age)/age_sigma 325 38.2311025972 reducing max timestep prior to age target 325 2.4850216688153172D+08 (age_target - star_age)/age_sigma 326 37.4880868857 reducing max timestep prior to age target 326 2.4367256475718403D+08 (age_target - star_age)/age_sigma 327 36.7599314885 reducing max timestep prior to age target 327 2.3893955467532158D+08 (age_target - star_age)/age_sigma 328 36.0463391992 reducing max timestep prior to age target 328 2.3430120479509735D+08 (age_target - star_age)/age_sigma 329 35.3470187558 reducing max timestep prior to age target 329 2.2975562191247654D+08 330 7.183052 5631.363 -0.040570 -0.040570 1.000000 1.000000 0.386724 0.005439 0.244357 -1.540968 514 0 6.6488E+00 7.183052 0.001171 -43.294677 -1.670122 -99.000000 0.000000 0.592251 0.009257 0.018213 0.114963 5 4.3442E+09 2.142232 -0.040511 -15.954590 -99.000000 -6.892801 0.000000 0.000020 0.002135 0.021025 0.000E+00 max_dt rel_E_err 1.7637972031637745D-13 log_rel_run_E_err -10.2662473628180404 (age_target - star_age)/age_sigma 330 34.6616847212 reducing max timestep prior to age target 330 2.2530095068750954D+08 (age_target - star_age)/age_sigma 331 33.9900573672 reducing max timestep prior to age target 331 2.2093537288704109D+08 (age_target - star_age)/age_sigma 332 33.3318625604 reducing max timestep prior to age target 332 2.1665710664258194D+08 (age_target - star_age)/age_sigma 333 32.6868316497 reducing max timestep prior to age target 333 2.1246440572301197D+08 (age_target - star_age)/age_sigma 334 32.0547013572 reducing max timestep prior to age target 334 2.0835555882183361D+08 (age_target - star_age)/age_sigma 335 31.4352136706 reducing max timestep prior to age target 335 2.0432888885867882D+08 (age_target - star_age)/age_sigma 336 30.8281157377 reducing max timestep prior to age target 336 2.0038275229478741D+08 (age_target - star_age)/age_sigma 337 30.2331597634 reducing max timestep prior to age target 337 1.9651553846217346D+08 (age_target - star_age)/age_sigma 338 29.6501029086 reducing max timestep prior to age target 338 1.9272566890621185D+08 (age_target - star_age)/age_sigma 339 29.0787071910 reducing max timestep prior to age target 339 1.8901159674136925D+08 340 7.183736 5632.123 -0.039230 -0.039230 1.000000 1.000000 0.383484 0.005450 0.244136 -1.539223 514 0 6.5611E+00 7.183736 0.001723 -43.250268 -1.667955 -99.000000 0.000000 0.595488 0.009248 0.018198 0.115373 5 4.3841E+09 2.144976 -0.039171 -99.000000 -99.000000 -6.893703 0.000000 0.000020 0.002135 0.021028 0.000E+00 max_dt rel_E_err 1.6948017648342014D-13 log_rel_run_E_err -10.2518789082816983 (age_target - star_age)/age_sigma 340 28.5187393877 reducing max timestep prior to age target 340 1.8537180601982403D+08 (age_target - star_age)/age_sigma 341 27.9699709404 reducing max timestep prior to age target 341 1.8180481111271000D+08 (age_target - star_age)/age_sigma 343 26.8943847838 reducing max timestep prior to age target 343 1.7481350109476471D+08 (age_target - star_age)/age_sigma 344 26.3673475671 reducing max timestep prior to age target 344 1.7138775918597126D+08 (age_target - star_age)/age_sigma 345 25.8508510947 reducing max timestep prior to age target 345 1.6803053211535454D+08 (age_target - star_age)/age_sigma 346 25.3446845517 reducing max timestep prior to age target 346 1.6474044958615017D+08 (age_target - star_age)/age_sigma 347 24.8486413396 reducing max timestep prior to age target 347 1.6151616870753002D+08 (age_target - star_age)/age_sigma 348 24.3625189918 reducing max timestep prior to age target 348 1.5835637344648170D+08 (age_target - star_age)/age_sigma 349 23.8861190909 reducing max timestep prior to age target 349 1.5525977409065437D+08 350 7.184307 5632.749 -0.038115 -0.038115 1.000000 1.000000 0.380790 0.005459 0.243952 -1.537769 514 0 6.4821E+00 7.184307 0.002184 -43.213279 -1.666145 -99.000000 0.000000 0.598179 0.009241 0.018186 0.115716 5 4.4173E+09 2.147263 -0.038057 -99.000000 -99.000000 -6.894453 0.000000 0.000020 0.002136 0.021031 0.000E+00 max_dt rel_E_err 1.9712292392724610D-13 log_rel_run_E_err -10.2376277931630284 (age_target - star_age)/age_sigma 350 23.4192471880 reducing max timestep prior to age target 350 1.5222510672194386D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9617127232 reducing max timestep prior to age target 351 1.4925113270060730D+08 (age_target - star_age)/age_sigma 352 22.5133289476 reducing max timestep prior to age target 352 1.4633663815969753D+08 (age_target - star_age)/age_sigma 353 22.0739128476 reducing max timestep prior to age target 353 1.4348043350960636D+08 (age_target - star_age)/age_sigma 354 21.6432850696 reducing max timestep prior to age target 354 1.4068135295251656D+08 (age_target - star_age)/age_sigma 355 21.2212698472 reducing max timestep prior to age target 355 1.3793825400656891D+08 (age_target - star_age)/age_sigma 356 20.8076949292 reducing max timestep prior to age target 356 1.3525001703953934D+08 (age_target - star_age)/age_sigma 357 20.4023915095 reducing max timestep prior to age target 357 1.3261554481185150D+08 (age_target - star_age)/age_sigma 358 20.0051941583 reducing max timestep prior to age target 358 1.3003376202871609D+08 (age_target - star_age)/age_sigma 359 19.6159407540 reducing max timestep prior to age target 359 1.2750361490124512D+08 360 7.184777 5633.263 -0.037198 -0.037198 1.000000 1.000000 0.378576 0.005466 0.243802 -1.536572 515 0 6.3944E+00 7.184777 0.002563 -43.182839 -1.664650 -99.000000 0.000000 0.600391 0.009234 0.018176 0.116000 5 4.4445E+09 2.149147 -0.037140 -15.954590 -99.000000 -6.895072 0.000000 0.000020 0.002136 0.021034 0.000E+00 max_dt rel_E_err 1.9066282420655008D-13 log_rel_run_E_err -10.2238943658537078 (age_target - star_age)/age_sigma 360 19.2344724179 reducing max timestep prior to age target 360 1.2502407071632195D+08 (age_target - star_age)/age_sigma 361 18.8606334485 reducing max timestep prior to age target 361 1.2259411741509819D+08 (age_target - star_age)/age_sigma 362 18.4942712584 reducing max timestep prior to age target 362 1.2021276317989826D+08 (age_target - star_age)/age_sigma 363 18.1352363122 reducing max timestep prior to age target 363 1.1787903602940273D+08 (age_target - star_age)/age_sigma 364 17.7833820649 reducing max timestep prior to age target 364 1.1559198342191792D+08 (age_target - star_age)/age_sigma 365 17.4385649026 reducing max timestep prior to age target 365 1.1335067186658192D+08 (age_target - star_age)/age_sigma 366 17.1006440834 reducing max timestep prior to age target 366 1.1115418654235268D+08 (age_target - star_age)/age_sigma 367 16.7694816807 reducing max timestep prior to age target 367 1.0900163092460728D+08 (age_target - star_age)/age_sigma 368 16.4449425260 reducing max timestep prior to age target 368 1.0689212641921806D+08 (age_target - star_age)/age_sigma 369 16.1268941545 reducing max timestep prior to age target 369 1.0482481200393677D+08 370 7.185163 5633.678 -0.036448 -0.036448 1.000000 1.000000 0.376764 0.005472 0.243680 -1.535590 515 0 6.3066E+00 7.185163 0.002873 -43.157910 -1.663423 -99.000000 0.000000 0.602200 0.009229 0.018168 0.116234 5 4.4667E+09 2.150691 -0.036391 -99.000000 -99.000000 -6.895576 0.000000 0.000020 0.002136 0.021035 0.000E+00 max_dt rel_E_err 1.7992004778806523D-13 log_rel_run_E_err -10.2108258535099843 (age_target - star_age)/age_sigma 370 15.8152067503 reducing max timestep prior to age target 370 1.0279884387695980D+08 (age_target - star_age)/age_sigma 371 15.5097530942 reducing max timestep prior to age target 371 1.0081339511252308D+08 (age_target - star_age)/age_sigma 372 15.2104085113 reducing max timestep prior to age target 372 9.8867655323374748D+07 (age_target - star_age)/age_sigma 373 14.9170508200 reducing max timestep prior to age target 373 9.6960830330009460D+07 (age_target - star_age)/age_sigma 374 14.6295602825 reducing max timestep prior to age target 374 9.5092141836512566D+07 (age_target - star_age)/age_sigma 375 14.3478195558 reducing max timestep prior to age target 375 9.3260827112884521D+07 (age_target - star_age)/age_sigma 376 14.0717136437 reducing max timestep prior to age target 376 9.1466138683729172D+07 (age_target - star_age)/age_sigma 378 13.5305460558 reducing max timestep prior to age target 378 8.7948549362586021D+07 (age_target - star_age)/age_sigma 379 13.2653739377 reducing max timestep prior to age target 379 8.6224930595225334D+07 380 7.185481 5634.018 -0.035832 -0.035832 1.000000 1.000000 0.375275 0.005478 0.243579 -1.534782 515 0 6.2277E+00 7.185481 0.003129 -43.137387 -1.662411 -99.000000 0.000000 0.603689 0.009225 0.018161 0.116427 5 4.4850E+09 2.151962 -0.035775 -15.954590 -99.000000 -6.895991 0.000000 0.000020 0.002136 0.021037 0.000E+00 max_dt rel_E_err 1.8462161146431539D-13 log_rel_run_E_err -10.1982097941434020 (age_target - star_age)/age_sigma 380 13.0055052620 reducing max timestep prior to age target 380 8.4535784203211784D+07 (age_target - star_age)/age_sigma 381 12.7508339599 reducing max timestep prior to age target 381 8.2880420739038467D+07 (age_target - star_age)/age_sigma 382 12.5012560837 reducing max timestep prior to age target 382 8.1258164544148445D+07 (age_target - star_age)/age_sigma 383 12.2566697651 reducing max timestep prior to age target 383 7.9668353473155975D+07 (age_target - star_age)/age_sigma 384 12.0169751729 reducing max timestep prior to age target 384 7.8110338623583794D+07 (age_target - star_age)/age_sigma 385 11.7820744725 reducing max timestep prior to age target 385 7.6583484071002960D+07 (age_target - star_age)/age_sigma 386 11.5518717861 reducing max timestep prior to age target 386 7.5087166609474182D+07 (age_target - star_age)/age_sigma 387 11.3262731534 reducing max timestep prior to age target 387 7.3620775497175217D+07 (age_target - star_age)/age_sigma 388 11.1051864934 reducing max timestep prior to age target 388 7.2183712207122803D+07 (age_target - star_age)/age_sigma 389 10.8885215666 reducing max timestep prior to age target 389 7.0775390182871819D+07 390 7.185745 5634.299 -0.035320 -0.035320 1.000000 1.000000 0.374039 0.005482 0.243496 -1.534111 515 0 6.1399E+00 7.185745 0.003342 -43.120346 -1.661569 -99.000000 0.000000 0.604923 0.009221 0.018156 0.116588 5 4.5001E+09 2.153018 -0.035263 -15.653560 -99.000000 -6.896335 0.000000 0.000020 0.002137 0.021038 0.000E+00 max_dt rel_E_err 1.7774702033123732D-13 log_rel_run_E_err -10.1863857096665882 (age_target - star_age)/age_sigma 390 10.6761899383 reducing max timestep prior to age target 390 6.9395234599104881D+07 (age_target - star_age)/age_sigma 391 10.4681049426 reducing max timestep prior to age target 391 6.8042682127014160D+07 (age_target - star_age)/age_sigma 392 10.2641816468 reducing max timestep prior to age target 392 6.6717180704364777D+07 (age_target - star_age)/age_sigma 393 10.0643368169 reducing max timestep prior to age target 393 6.5418189310168266D+07 (age_target - star_age)/age_sigma 394 9.8684888837 reducing max timestep prior to age target 394 6.4145177743856430D+07 (age_target - star_age)/age_sigma 395 9.6765579091 reducing max timestep prior to age target 395 6.2897626408869743D+07 (age_target - star_age)/age_sigma 396 9.4884655539 reducing max timestep prior to age target 396 6.1675026100584030D+07 (age_target - star_age)/age_sigma 397 9.3041350459 reducing max timestep prior to age target 397 6.0476877798462868D+07 (age_target - star_age)/age_sigma 398 9.1234911481 reducing max timestep prior to age target 398 5.9302692462384224D+07 (age_target - star_age)/age_sigma 399 8.9464601282 reducing max timestep prior to age target 399 5.8151990833027840D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.185961 5634.528 -0.034901 -0.034901 1.000000 1.000000 0.373028 0.005485 0.243428 -1.533560 515 0 6.0522E+00 7.185961 0.003516 -43.106409 -1.660879 -99.000000 0.000000 0.605933 0.009218 0.018151 0.116720 3 4.5125E+09 2.153883 -0.034845 -15.477469 -99.000000 -6.896617 0.000000 0.000021 0.002137 0.021039 0.000E+00 max_dt rel_E_err 1.8373964200197249D-13 log_rel_run_E_err -10.1740735342959692 (age_target - star_age)/age_sigma 400 8.7729697287 reducing max timestep prior to age target 400 5.7024303236258507D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.6029491371 reducing max timestep prior to age target 401 5.5919169391424179D+07 (age_target - star_age)/age_sigma 402 8.4363289575 reducing max timestep prior to age target 402 5.4836138223485947D+07 (age_target - star_age)/age_sigma 403 8.2730411814 reducing max timestep prior to age target 403 5.3774767678907394D+07 (age_target - star_age)/age_sigma 404 8.1130191608 reducing max timestep prior to age target 404 5.2734624545220375D+07 (age_target - star_age)/age_sigma 405 7.9561975806 reducing max timestep prior to age target 405 5.1715284274207115D+07 (age_target - star_age)/age_sigma 406 7.8025124321 reducing max timestep prior to age target 406 5.0716330808613777D+07 (age_target - star_age)/age_sigma 407 7.6519009865 reducing max timestep prior to age target 407 4.9737356412332535D+07 (age_target - star_age)/age_sigma 408 7.5043017698 reducing max timestep prior to age target 408 4.8777961503976822D+07 (age_target - star_age)/age_sigma 409 7.3596545375 reducing max timestep prior to age target 409 4.7837754493788719D+07 410 7.186138 5634.714 -0.034559 -0.034559 1.000000 1.000000 0.372202 0.005488 0.243373 -1.533110 515 0 5.9644E+00 7.186138 0.003658 -43.095008 -1.660314 -99.000000 0.000000 0.606758 0.009215 0.018148 0.116828 3 4.5226E+09 2.154591 -0.034502 -99.000000 -99.000000 -6.896847 0.000000 0.000021 0.002137 0.021040 0.000E+00 max_dt rel_E_err 1.7901421209376551D-13 log_rel_run_E_err -10.1622178353761345 (age_target - star_age)/age_sigma 410 7.2179002498 reducing max timestep prior to age target 410 4.6916351623804092D+07 (age_target - star_age)/age_sigma 411 7.0789810479 reducing max timestep prior to age target 411 4.6013376811219215D+07 (age_target - star_age)/age_sigma 412 6.9428402300 reducing max timestep prior to age target 412 4.5128461494885445D+07 (age_target - star_age)/age_sigma 414 6.6760042269 reducing max timestep prior to age target 414 4.3394027474871635D+07 (age_target - star_age)/age_sigma 415 6.5452545854 reducing max timestep prior to age target 415 4.2544154805065155D+07 (age_target - star_age)/age_sigma 416 6.4171199367 reducing max timestep prior to age target 416 4.1711279588655472D+07 (age_target - star_age)/age_sigma 417 6.2915479810 reducing max timestep prior to age target 417 4.0895061876573563D+07 (age_target - star_age)/age_sigma 418 6.1684874644 reducing max timestep prior to age target 418 4.0095168518732071D+07 (age_target - star_age)/age_sigma 419 6.0478881582 reducing max timestep prior to age target 419 3.9311273028048515D+07 420 7.186285 5634.870 -0.034275 -0.034275 1.000000 1.000000 0.371517 0.005491 0.243326 -1.532736 515 0 5.8855E+00 7.186285 0.003776 -43.085555 -1.659846 -99.000000 0.000000 0.607442 0.009213 0.018144 0.116917 3 4.5310E+09 2.155177 -0.034218 -99.000000 -99.000000 -6.897038 0.000000 0.000021 0.002137 0.021041 0.000E+00 max_dt rel_E_err 1.9079791979066976D-13 log_rel_run_E_err -10.1491310882821040 (age_target - star_age)/age_sigma 420 5.9297008380 reducing max timestep prior to age target 420 3.8543055447178841D+07 (age_target - star_age)/age_sigma 421 5.8138772643 reducing max timestep prior to age target 421 3.7790202217926025D+07 (age_target - star_age)/age_sigma 422 5.7003701620 reducing max timestep prior to age target 422 3.7052406053257942D+07 (age_target - star_age)/age_sigma 423 5.5891332018 reducing max timestep prior to age target 423 3.6329365811883926D+07 (age_target - star_age)/age_sigma 424 5.4801209808 reducing max timestep prior to age target 424 3.5620786375336647D+07 (age_target - star_age)/age_sigma 425 5.3732890042 reducing max timestep prior to age target 425 3.4926378527521133D+07 (age_target - star_age)/age_sigma 426 5.2685936672 reducing max timestep prior to age target 426 3.4245858836661339D+07 (age_target - star_age)/age_sigma 427 5.1659922369 reducing max timestep prior to age target 427 3.3578949539618492D+07 (age_target - star_age)/age_sigma 428 5.0654428352 reducing max timestep prior to age target 428 3.2925378428517342D+07 (age_target - star_age)/age_sigma 429 4.9661204266 reducing max timestep prior to age target 429 3.2279782773056030D+07 430 7.186406 5634.998 -0.034040 -0.034040 1.000000 1.000000 0.370952 0.005493 0.243284 -1.532428 515 0 5.8100E+00 7.186406 0.003874 -43.077749 -1.659458 -99.000000 0.000000 0.608007 0.009211 0.018142 0.116992 3 4.5379E+09 2.155662 -0.033984 -15.477469 -99.000000 -6.897196 0.000000 0.000021 0.002137 0.021041 0.000E+00 max_dt rel_E_err 1.7664300657519635D-13 log_rel_run_E_err -10.1381096486745452 (age_target - star_age)/age_sigma 430 4.8667980181 reducing max timestep prior to age target 430 3.1634187117594719D+07 (age_target - star_age)/age_sigma 431 4.7674756096 reducing max timestep prior to age target 431 3.0988591462133408D+07 (age_target - star_age)/age_sigma 432 4.6681532010 reducing max timestep prior to age target 432 3.0342995806672096D+07 (age_target - star_age)/age_sigma 433 4.5688307925 reducing max timestep prior to age target 433 2.9697400151210785D+07 (age_target - star_age)/age_sigma 434 4.4695083840 reducing max timestep prior to age target 434 2.9051804495749474D+07 (age_target - star_age)/age_sigma 435 4.3701859754 reducing max timestep prior to age target 435 2.8406208840288162D+07 (age_target - star_age)/age_sigma 436 4.2708635669 reducing max timestep prior to age target 436 2.7760613184826851D+07 (age_target - star_age)/age_sigma 437 4.1715411584 reducing max timestep prior to age target 437 2.7115017529365540D+07 (age_target - star_age)/age_sigma 438 4.0722187498 remaining steps and years until age target 438 41 2.6469421873905182D+07 (age_target - star_age)/age_sigma 439 3.9728963413 reducing max timestep prior to age target 439 2.5823826218443871D+07 440 7.186519 5635.119 -0.033821 -0.033821 1.000000 1.000000 0.370424 0.005495 0.243245 -1.532140 515 0 5.8100E+00 7.186519 0.003965 -43.070449 -1.659095 -99.000000 0.000000 0.608535 0.009210 0.018139 0.117061 3 4.5443E+09 2.156115 -0.033765 -99.000000 -99.000000 -6.897344 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt rel_E_err 1.9228625496113125D-13 log_rel_run_E_err -10.1274119317077371 (age_target - star_age)/age_sigma 440 3.8735739328 reducing max timestep prior to age target 440 2.5178230562982559D+07 (age_target - star_age)/age_sigma 441 3.7742515242 reducing max timestep prior to age target 441 2.4532634907521248D+07 (age_target - star_age)/age_sigma 442 3.6749291157 reducing max timestep prior to age target 442 2.3887039252059937D+07 (age_target - star_age)/age_sigma 443 3.5756067072 reducing max timestep prior to age target 443 2.3241443596598625D+07 (age_target - star_age)/age_sigma 444 3.4762842986 reducing max timestep prior to age target 444 2.2595847941137314D+07 (age_target - star_age)/age_sigma 445 3.3769618901 reducing max timestep prior to age target 445 2.1950252285676003D+07 (age_target - star_age)/age_sigma 446 3.2776394816 reducing max timestep prior to age target 446 2.1304656630214691D+07 (age_target - star_age)/age_sigma 447 3.1783170730 reducing max timestep prior to age target 447 2.0659060974753380D+07 (age_target - star_age)/age_sigma 448 3.0789946645 reducing max timestep prior to age target 448 2.0013465319292068D+07 (age_target - star_age)/age_sigma 449 2.9796722560 reducing max timestep prior to age target 449 1.9367869663830757D+07 450 7.186633 5635.239 -0.033602 -0.033602 1.000000 1.000000 0.369895 0.005497 0.243207 -1.531851 515 0 5.8100E+00 7.186633 0.004056 -43.063144 -1.658732 -99.000000 0.000000 0.609063 0.009208 0.018137 0.117131 3 4.5508E+09 2.156569 -0.033546 -99.000000 -99.000000 -6.897492 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt rel_E_err 1.8220542295832968D-13 log_rel_run_E_err -10.1168038794129824 (age_target - star_age)/age_sigma 450 2.8803498474 reducing max timestep prior to age target 450 1.8722274008369446D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7810274389 reducing max timestep prior to age target 451 1.8076678352908134D+07 (age_target - star_age)/age_sigma 452 2.6817050304 reducing max timestep prior to age target 452 1.7431082697446823D+07 (age_target - star_age)/age_sigma 453 2.5823826218 remaining steps and years until age target 453 26 1.6785487041986465D+07 (age_target - star_age)/age_sigma 454 2.4830602133 reducing max timestep prior to age target 454 1.6139891386525154D+07 (age_target - star_age)/age_sigma 455 2.3837378048 reducing max timestep prior to age target 455 1.5494295731063843D+07 (age_target - star_age)/age_sigma 456 2.2844153962 remaining steps and years until age target 456 23 1.4848700075603485D+07 (age_target - star_age)/age_sigma 457 2.1850929877 reducing max timestep prior to age target 457 1.4203104420142174D+07 (age_target - star_age)/age_sigma 458 2.0857705792 reducing max timestep prior to age target 458 1.3557508764680862D+07 (age_target - star_age)/age_sigma 459 1.9864481706 reducing max timestep prior to age target 459 1.2911913109219551D+07 460 7.186747 5635.360 -0.033382 -0.033382 1.000000 1.000000 0.369366 0.005499 0.243168 -1.531563 515 0 5.8100E+00 7.186747 0.004147 -43.055836 -1.658369 -99.000000 0.000000 0.609591 0.009206 0.018134 0.117200 3 4.5572E+09 2.157023 -0.033326 -99.000000 -99.000000 -6.897640 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt rel_E_err 1.8948778887346716D-13 log_rel_run_E_err -10.1066266615182805 (age_target - star_age)/age_sigma 460 1.8871257621 remaining steps and years until age target 460 19 1.2266317453759193D+07 (age_target - star_age)/age_sigma 461 1.7878033536 reducing max timestep prior to age target 461 1.1620721798297882D+07 (age_target - star_age)/age_sigma 462 1.6884809451 remaining steps and years until age target 462 17 1.0975126142837524D+07 (age_target - star_age)/age_sigma 463 1.5891585365 reducing max timestep prior to age target 463 1.0329530487376213D+07 (age_target - star_age)/age_sigma 464 1.4898361280 reducing max timestep prior to age target 464 9.6839348319149017D+06 (age_target - star_age)/age_sigma 465 1.3905137195 reducing max timestep prior to age target 465 9.0383391764535904D+06 (age_target - star_age)/age_sigma 466 1.2911913109 remaining steps and years until age target 466 13 8.3927435209932327D+06 (age_target - star_age)/age_sigma 467 1.1918689024 reducing max timestep prior to age target 467 7.7471478655319214D+06 (age_target - star_age)/age_sigma 468 1.0925464939 remaining steps and years until age target 468 11 7.1015522100715637D+06 (age_target - star_age)/age_sigma 469 0.9932240853 reducing max timestep prior to age target 469 6.4559565546102524D+06 470 7.186860 5635.480 -0.033163 -0.033163 1.000000 1.000000 0.368838 0.005501 0.243129 -1.531274 515 0 5.8100E+00 7.186860 0.004238 -43.048522 -1.658005 -99.000000 0.000000 0.610119 0.009205 0.018132 0.117270 3 4.5637E+09 2.157477 -0.033107 -15.477469 -99.000000 -6.897788 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt rel_E_err 1.9505494296384264D-13 log_rel_run_E_err -10.0966540032563952 (age_target - star_age)/age_sigma 470 0.8939016768 reducing max timestep prior to age target 470 5.8103608991489410D+06 (age_target - star_age)/age_sigma 471 0.7945792683 reducing max timestep prior to age target 471 5.1647652436876297D+06 (age_target - star_age)/age_sigma 472 0.6952568597 remaining steps and years until age target 472 7 4.5191695882272720D+06 (age_target - star_age)/age_sigma 473 0.5959344512 reducing max timestep prior to age target 473 3.8735739327659607D+06 (age_target - star_age)/age_sigma 474 0.4966120427 remaining steps and years until age target 474 5 3.2279782773056030D+06 (age_target - star_age)/age_sigma 475 0.3972896341 reducing max timestep prior to age target 475 2.5823826218442917D+06 (age_target - star_age)/age_sigma 476 0.2979672256 reducing max timestep prior to age target 476 1.9367869663829803D+06 (age_target - star_age)/age_sigma 477 0.1986448171 remaining steps and years until age target 477 2 1.2911913109226227D+06 (age_target - star_age)/age_sigma 478 0.0993224085 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07 save outputs/best.mod 479 save outputs/best.profile for model 479 save LOGS/profile11.data for model 479 have reached age_target save LOGS/profile11.data for model 479 solver retries 4 varcontrol dt limit 122 max increase dt limit 1608 lgRho_cntr dt limit 55 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07 have reached age_target runtime (minutes), retries, steps 3.04 0 479 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 479 7.186963 5635.588 -0.032965 -0.032965 1.000000 1.000000 0.368362 0.005502 0.243095 -1.531013 515 0 5.8100E+00 7.186963 0.004320 -43.041936 -1.657677 -99.000000 0.000000 0.610595 0.009203 0.018129 0.117333 3 4.5695E+09 2.157886 -0.032909 -99.000000 -99.000000 -6.897921 0.000000 0.000021 0.002138 0.021044 0.000E+00 max_dt rel_E_err 1.8711894893168351D-13 log_rel_run_E_err -10.0879096645866433 Teff 5635.5878078367 radius 1.0099970103 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 99.9402149524 M_H 0.0294662156 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 868.2578594870 log_R 0.0043200882 delta_nu 139.4758215533 nu_max 3053.6692076808 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2700000000 initial_FeH 0.0870000000 alpha 2.0000000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 333656.0660248132 model number 479 save best model results to outputs/sample_0003.data current set of sample results 1 2 3 4 5 6 7 8 samples version_number compiler build MESA_SDK_version math_backend date search_type 3 "7067e26" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251202" "newuoa" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first 1 3.3351283960191364E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763963E+03 1.0231407131234020E+00 -1.7395981953360481E-03 9.9353665865702778E-03 1.3680762272705823E+02 2.9640776267831352E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191364E+05 0 0 0 0 0 0 0 3 3.3365606602481316E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367450E+03 1.0099970103007068E+00 2.9466215560994696E-02 4.3200882263779048E-03 1.3947582155333197E+02 3.0536692076808167E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602481316E+05 0 0 0 0 0 0 0 2 3.3468070564326138E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271320E+03 1.0622782375814146E+00 -1.2788199777018321E-02 2.6238284372326726E-02 1.2938435093834121E+02 2.7294282123454341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326138E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 2.1349999999999998D+00 4.5000000000000001D-01 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 10 5.954489 4784.940 -12.856103 -12.856103 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 404 0 -5.0000E+00 5.954482 0.953981 -99.000000 -14.253969 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0000E-04 -1.867484 1.582162 -99.000000 -99.000000 -7.771027 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954490 4649.621 -12.856112 -12.856112 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 405 0 -5.0000E+00 5.954483 0.953814 -99.000000 -14.253978 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 2.0000E-04 -1.867482 1.531991 -99.000000 -99.000000 -7.748742 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954491 4585.458 -12.856116 -12.856116 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 404 0 -5.0000E+00 5.954483 0.953710 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 3.0000E-04 -1.867482 1.507645 -99.000000 -99.000000 -7.733587 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954491 4547.143 -12.856119 -12.856119 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 405 0 -5.0000E+00 5.954484 0.953638 -99.000000 -14.253985 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 4.0000E-04 -1.867481 1.492923 -99.000000 -99.000000 -7.723205 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954491 4519.884 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 403 0 -5.0000E+00 5.954484 0.953582 -99.000000 -14.253986 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 2 5.0000E-04 -1.867481 1.482367 -99.000000 -99.000000 -7.715256 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954492 4388.631 -12.856122 -12.856122 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 402 0 -2.2907E+00 5.954485 0.953141 -99.000000 -14.253988 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0230E-02 -1.867479 1.430292 -99.000000 -99.000000 -7.671172 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9251981906461786D-01 20 5.954594 4382.396 -12.854776 -12.854776 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396289 400 0 7.1957E-01 5.954587 0.952983 -99.000000 -14.252641 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071334 3 1.0486E+01 -1.867324 1.427507 -99.000000 -99.000000 -7.668684 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.9793094829107913D-01 30 6.002792 4417.348 -12.186359 -12.186359 1.000000 1.000000 0.700000 0.001010 0.279998 -6.239865 404 0 3.4640E+00 6.002792 0.903884 -99.000000 -13.584224 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.7770E+03 -1.727204 1.343107 -99.000000 -99.000000 -7.622870 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501201576994D-08 40 6.181888 4529.268 -9.814064 -9.814064 1.000000 1.000000 0.700000 0.001010 0.279976 -5.619112 423 0 4.0274E+00 6.181888 0.718505 -99.000000 -11.211923 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071111 3 7.3939E+04 -1.189514 1.015816 -99.000000 -99.000000 -7.442933 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128502311800019D-08 50 6.359711 4578.875 -7.700105 -7.700105 1.000000 1.000000 0.700000 0.001010 0.279870 -5.002863 434 0 4.5422E+00 6.359711 0.536260 -99.000000 -9.097948 -99.000000 0.000000 0.280000 0.009381 0.019894 0.071124 3 2.9002E+05 -0.655809 0.670250 -99.000000 -99.000000 -7.242625 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128502311800019D-08 60 6.533813 4575.555 -5.833381 -5.833381 1.000000 1.000000 0.700000 0.001010 0.279543 -4.398830 452 0 5.0646E+00 6.533813 0.358981 -99.000000 -7.231181 -99.000000 0.000000 0.280000 0.009381 0.019677 0.071139 3 1.0061E+06 -0.133217 0.314431 -99.000000 -99.000000 -7.004266 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128502533844624D-08 finished relax to begin radiative core 66 1.2918545470763952D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1127416933281451D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.624869 4368.472 -4.877895 -4.877895 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 461 0 -4.2874E+00 6.624869 0.260004 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 10 2.5959E-04 0.163106 0.036020 -20.293948 -99.000000 -6.915305 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5286728047344695D-13 log_rel_run_E_err -11.5683539621722584 20 6.624870 4381.393 -4.877895 -4.877895 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -3.4956E+00 6.624870 0.260020 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 5 1.8669E-03 0.163107 0.041182 -20.293948 -99.000000 -6.920651 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4823940192778205D-13 log_rel_run_E_err -11.2767998584965898 30 6.624871 4382.311 -4.877896 -4.877896 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -2.7037E+00 6.624871 0.260027 -99.000000 -6.275642 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.1819E-02 0.163108 0.041561 -99.000000 -99.000000 -6.921033 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4897986211023898D-13 log_rel_run_E_err -11.1014898971087810 40 6.624872 4381.702 -4.877894 -4.877894 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -1.9119E+00 6.624872 0.260029 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 7.3439E-02 0.163110 0.041323 -99.000000 -99.000000 -6.920788 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6175280426458061D-13 log_rel_run_E_err -10.9760360609205581 50 6.624872 4380.075 -4.877894 -4.877894 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -1.1201E+00 6.624872 0.260018 -99.000000 -6.275640 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 6 4.5497E-01 0.163110 0.040656 -99.000000 -99.000000 -6.920111 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6415928579018647D-13 log_rel_run_E_err -10.8811285053807207 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.624872 4380.044 -4.877892 -4.877892 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022545 458 0 -3.2831E-01 6.624872 0.260017 -99.000000 -6.275639 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 2.8173E+00 0.163111 0.040643 -99.000000 -99.000000 -6.920098 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4398164975491213D-13 log_rel_run_E_err -10.8040343783474810 70 6.624873 4380.043 -4.877883 -4.877883 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022541 458 0 4.6351E-01 6.624873 0.260017 -99.000000 -6.275630 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.7444E+01 0.163114 0.040640 -20.293948 -99.000000 -6.920097 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5397730081585101D-13 log_rel_run_E_err -10.7367661168652440 80 6.624878 4380.037 -4.877828 -4.877828 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022515 458 0 1.2553E+00 6.624878 0.260011 -99.000000 -6.275575 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.0801E+02 0.163132 0.040626 -99.000000 -99.000000 -6.920087 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5619516526727068D-13 log_rel_run_E_err -10.6781589619255843 90 6.624908 4379.997 -4.877488 -4.877488 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022357 458 0 2.0471E+00 6.624908 0.259975 -99.000000 -6.275235 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071817 2 6.6878E+02 0.163246 0.040539 -99.000000 -99.000000 -6.920028 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5284169343134223D-13 log_rel_run_E_err -10.6269998656745965 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.625095 4379.751 -4.875383 -4.875383 1.000000 1.000000 0.711274 0.000946 0.270000 -4.021376 458 0 2.8389E+00 6.625095 0.259754 -99.000000 -6.273129 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071824 2 4.1409E+03 0.163950 0.039999 -19.992918 -99.000000 -6.919664 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6325400285315919D-13 log_rel_run_E_err -10.5813895796763742 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.626244 4378.233 -4.862444 -4.862444 1.000000 1.000000 0.711274 0.000946 0.270000 -4.015327 458 0 3.6308E+00 6.626244 0.258392 -99.000000 -6.260189 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071873 2 2.5639E+04 0.168285 0.036674 -20.293948 -99.000000 -6.917419 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4654705370067399D-13 log_rel_run_E_err -10.5413743323474236 120 6.633021 4369.036 -4.785809 -4.785809 1.000000 1.000000 0.711274 0.000946 0.270000 -3.978782 458 0 4.4226E+00 6.633021 0.250305 -99.000000 -6.183548 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072183 3 1.5875E+05 0.194225 0.016846 -99.000000 -99.000000 -6.903948 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6284443189150452D-13 log_rel_run_E_err -10.4866602384888221 130 6.665556 4322.268 -4.409795 -4.409795 1.000000 1.000000 0.711274 0.000946 0.270000 -3.778887 461 0 5.2144E+00 6.665556 0.210140 -99.000000 -5.807497 -99.000000 0.000000 0.270000 0.008783 0.018726 0.074286 4 9.8295E+05 0.329239 -0.082180 -99.000000 -99.000000 -6.835102 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5530686185000225D-13 log_rel_run_E_err -10.4769203019655670 140 6.753838 4249.999 -3.387220 -3.387220 1.000000 1.000000 0.711271 0.000946 0.269999 -3.065300 464 0 5.8501E+00 6.753838 0.106142 -99.000000 -4.784714 -99.000000 0.000000 0.270003 0.008783 0.018726 0.084901 4 5.4647E+06 0.768092 -0.319468 -18.788798 -99.000000 -6.673152 0.000000 0.003227 0.001952 0.018726 0.000E+00 varcontrol rel_E_err 2.2629534867366193D-13 log_rel_run_E_err -10.5609880297967056 150 6.874453 4588.938 -2.201637 -2.201637 1.000000 1.000000 0.711256 0.000946 0.269993 -2.192222 473 0 6.0270E+00 6.874453 0.033990 -99.000000 -3.598388 -99.000000 0.000000 0.270017 0.008783 0.018725 0.098159 4 1.4735E+07 1.318979 -0.330478 -99.000000 -99.000000 -6.724419 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.1749247482230700D-13 log_rel_run_E_err -10.4339024288321500 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.054040 5453.422 -0.762268 -0.762268 1.000000 1.000000 0.711075 0.000969 0.269970 -1.547164 489 0 6.1779E+00 7.054040 0.009540 -51.358501 -2.214209 -99.000000 0.000000 0.270194 0.008784 0.018724 0.097980 5 2.6398E+07 1.855185 -0.079550 -16.556650 -99.000000 -6.848893 0.000000 0.003208 0.001952 0.018730 0.000E+00 lgRho_cntr rel_E_err 1.6523224223452328D-13 log_rel_run_E_err -10.4138594107367144 (age_target - star_age)/age_sigma 168 694.7983444811 reducing max timestep prior to age target 168 4.5161892391269512D+09 170 7.130814 5598.043 -0.158242 -0.158242 1.000000 1.000000 0.708772 0.003375 0.269716 -1.718416 510 0 6.9251E+00 7.130814 -0.051981 -47.215485 -1.763117 -99.000000 0.000000 0.272149 0.008786 0.018709 0.085247 5 6.8741E+07 1.901359 -0.157124 -15.954590 -99.000000 -6.810200 0.000000 0.001147 0.001953 0.019079 0.000E+00 max increase rel_E_err 1.6314347399365015D-13 log_rel_run_E_err -10.4453056751909603 (age_target - star_age)/age_sigma 175 680.8615072184 reducing max timestep prior to age target 175 4.4255997969195662D+09 (age_target - star_age)/age_sigma 178 666.7877671225 reducing max timestep prior to age target 178 4.3341204862959518D+09 180 7.131825 5617.589 -0.141083 -0.141083 1.000000 1.000000 0.691108 0.004709 0.268086 -1.672565 502 0 7.7169E+00 7.131825 -0.046960 -47.039592 -1.798073 -99.000000 0.000000 0.289588 0.008799 0.018611 0.087592 10 3.3092E+08 1.926134 -0.141026 -99.000000 -99.000000 -6.821127 0.000000 0.000014 0.001956 0.019303 0.000E+00 max increase rel_E_err 1.8250403860961025D-13 log_rel_run_E_err -10.4252694485205648 (age_target - star_age)/age_sigma 180 652.0892148288 reducing max timestep prior to age target 180 4.2385798963875098D+09 (age_target - star_age)/age_sigma 182 630.9232995261 reducing max timestep prior to age target 182 4.1010014469193530D+09 (age_target - star_age)/age_sigma 183 618.6043556684 reducing max timestep prior to age target 183 4.0209283118443732D+09 (age_target - star_age)/age_sigma 184 606.5317906878 reducing max timestep prior to age target 184 3.9424566394708934D+09 (age_target - star_age)/age_sigma 185 594.7006770069 reducing max timestep prior to age target 185 3.8655544005448828D+09 (age_target - star_age)/age_sigma 186 583.1061855996 reducing max timestep prior to age target 186 3.7901902063973927D+09 (age_target - star_age)/age_sigma 187 571.7435840204 reducing max timestep prior to age target 187 3.7163332961328526D+09 (age_target - star_age)/age_sigma 188 560.6082344729 reducing max timestep prior to age target 188 3.6439535240736027D+09 (age_target - star_age)/age_sigma 189 549.6955919162 reducing max timestep prior to age target 189 3.5730213474555383D+09 190 7.140302 5637.297 -0.119132 -0.119132 1.000000 1.000000 0.635524 0.004751 0.263439 -1.651261 504 0 7.8421E+00 7.140302 -0.039018 -46.349175 -1.782049 -99.000000 0.000000 0.345070 0.008829 0.018325 0.091266 10 1.0660E+09 1.961982 -0.119059 -15.954590 -99.000000 -6.836281 0.000000 0.000014 0.001966 0.019406 0.000E+00 max_dt rel_E_err 1.7839834376205004D-13 log_rel_run_E_err -10.4066370759935189 (age_target - star_age)/age_sigma 190 539.0012022107 reducing max timestep prior to age target 190 3.5035078143698349D+09 (age_target - star_age)/age_sigma 191 528.5207002994 reducing max timestep prior to age target 191 3.4353845519458456D+09 (age_target - star_age)/age_sigma 192 518.2498084262 reducing max timestep prior to age target 192 3.3686237547703362D+09 (age_target - star_age)/age_sigma 193 508.1843343905 reducing max timestep prior to age target 193 3.3031981735383372D+09 (age_target - star_age)/age_sigma 194 498.3201698355 reducing max timestep prior to age target 194 3.2390811039309778D+09 (age_target - star_age)/age_sigma 195 488.6532885717 reducing max timestep prior to age target 195 3.1762463757157660D+09 (age_target - star_age)/age_sigma 196 479.1797449331 reducing max timestep prior to age target 196 3.1146683420648584D+09 (age_target - star_age)/age_sigma 197 469.8956721672 reducing max timestep prior to age target 197 3.0543218690869684D+09 (age_target - star_age)/age_sigma 198 460.7972808567 reducing max timestep prior to age target 198 2.9951823255686369D+09 (age_target - star_age)/age_sigma 199 451.8808573724 reducing max timestep prior to age target 199 2.9372255729206715D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.148156 5653.071 -0.100778 -0.100778 1.000000 1.000000 0.587478 0.004793 0.259569 -1.632581 511 0 7.7543E+00 7.148156 -0.032268 -45.749506 -1.761199 -99.000000 0.000000 0.393032 0.008845 0.018086 0.094757 10 1.6891E+09 1.994267 -0.100704 -15.954590 -99.000000 -6.849440 0.000000 0.000015 0.001975 0.019491 0.000E+00 max_dt rel_E_err 1.9811497239452137D-13 log_rel_run_E_err -10.3876681091473788 (age_target - star_age)/age_sigma 200 443.1427623578 reducing max timestep prior to age target 200 2.8804279553256655D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 434.5794292435 reducing max timestep prior to age target 201 2.8247662900825596D+09 (age_target - star_age)/age_sigma 202 426.1873627914 reducing max timestep prior to age target 202 2.7702178581443162D+09 (age_target - star_age)/age_sigma 203 417.9631376684 reducing max timestep prior to age target 203 2.7167603948448372D+09 (age_target - star_age)/age_sigma 204 409.9033970479 reducing max timestep prior to age target 204 2.6643720808113480D+09 (age_target - star_age)/age_sigma 205 402.0048512398 reducing max timestep prior to age target 205 2.6130315330585289D+09 (age_target - star_age)/age_sigma 206 394.2642763478 reducing max timestep prior to age target 206 2.5627177962607656D+09 (age_target - star_age)/age_sigma 207 386.6785129537 reducing max timestep prior to age target 207 2.5134103341989579D+09 (age_target - star_age)/age_sigma 209 371.8104167012 reducing max timestep prior to age target 209 2.4167677085578146D+09 210 7.155022 5665.627 -0.085322 -0.085322 1.000000 1.000000 0.547477 0.004835 0.256415 -1.616047 509 0 7.6754E+00 7.155022 -0.026467 -45.245504 -1.741928 -99.000000 0.000000 0.432966 0.008848 0.017891 0.097953 10 2.2001E+09 2.022322 -0.085249 -15.477469 -99.000000 -6.860640 0.000000 0.000016 0.001982 0.019557 0.000E+00 max_dt rel_E_err 2.0057519711194687D-13 log_rel_run_E_err -10.3690952159547773 (age_target - star_age)/age_sigma 210 364.5250495375 reducing max timestep prior to age target 210 2.3694128219936543D+09 (age_target - star_age)/age_sigma 211 357.3853897170 reducing max timestep prior to age target 211 2.3230050331607771D+09 (age_target - star_age)/age_sigma 212 350.3885230930 reducing max timestep prior to age target 212 2.2775254001045580D+09 (age_target - star_age)/age_sigma 213 343.5315938015 reducing max timestep prior to age target 213 2.2329553597094626D+09 (age_target - star_age)/age_sigma 214 336.8118030957 reducing max timestep prior to age target 214 2.1892767201222701D+09 (age_target - star_age)/age_sigma 215 330.2264082041 reducing max timestep prior to age target 215 2.1464716533268209D+09 (age_target - star_age)/age_sigma 216 323.7727212104 reducing max timestep prior to age target 216 2.1045226878672805D+09 (age_target - star_age)/age_sigma 217 317.4481079565 reducing max timestep prior to age target 217 2.0634127017169309D+09 (age_target - star_age)/age_sigma 218 311.2499869676 reducing max timestep prior to age target 218 2.0231249152895885D+09 (age_target - star_age)/age_sigma 219 305.1758283986 reducing max timestep prior to age target 219 1.9836428845907927D+09 220 7.161045 5675.777 -0.072123 -0.072123 1.000000 1.000000 0.513796 0.004878 0.253788 -1.601376 509 0 7.5876E+00 7.161045 -0.021423 -44.816368 -1.724522 -99.000000 0.000000 0.466595 0.008841 0.017727 0.100878 10 2.6245E+09 2.046830 -0.072051 -99.000000 -99.000000 -6.870300 0.000000 0.000016 0.001988 0.019609 0.000E+00 max_dt rel_E_err 1.8978447895624208D-13 log_rel_run_E_err -10.3515864985572748 (age_target - star_age)/age_sigma 220 299.2231530009 reducing max timestep prior to age target 220 1.9449504945059729D+09 (age_target - star_age)/age_sigma 221 293.3895311112 reducing max timestep prior to age target 221 1.9070319522228498D+09 (age_target - star_age)/age_sigma 222 287.6725816593 reducing max timestep prior to age target 222 1.8698717807853889D+09 (age_target - star_age)/age_sigma 223 282.0699711964 reducing max timestep prior to age target 223 1.8334548127766776D+09 (age_target - star_age)/age_sigma 224 276.5794129428 reducing max timestep prior to age target 224 1.7977661841281400D+09 (age_target - star_age)/age_sigma 225 271.1986658542 reducing max timestep prior to age target 225 1.7627913280525732D+09 (age_target - star_age)/age_sigma 226 265.9255337075 reducing max timestep prior to age target 226 1.7285159690985179D+09 (age_target - star_age)/age_sigma 227 260.7578642036 reducing max timestep prior to age target 227 1.6949261173235440D+09 (age_target - star_age)/age_sigma 228 255.6935480899 reducing max timestep prior to age target 228 1.6620080625840693D+09 (age_target - star_age)/age_sigma 229 250.7305182984 reducing max timestep prior to age target 229 1.6297483689393840D+09 230 7.166203 5683.811 -0.061083 -0.061083 1.000000 1.000000 0.485933 0.004919 0.251682 -1.588704 508 0 7.4999E+00 7.166203 -0.017133 -44.457149 -1.709309 -99.000000 0.000000 0.494416 0.008826 0.017596 0.103480 10 2.9714E+09 2.067752 -0.061014 -99.000000 -99.000000 -6.878404 0.000000 0.000017 0.001992 0.019650 0.000E+00 max_dt rel_E_err 1.7161335709057876D-13 log_rel_run_E_err -10.3352402783568991 (age_target - star_age)/age_sigma 230 245.8667491027 reducing max timestep prior to age target 230 1.5981338691675925D+09 (age_target - star_age)/age_sigma 231 241.1002552910 reducing max timestep prior to age target 231 1.5671516593912368D+09 (age_target - star_age)/age_sigma 232 236.4290913554 reducing max timestep prior to age target 232 1.5367890938104086D+09 (age_target - star_age)/age_sigma 233 231.8513506986 reducing max timestep prior to age target 233 1.5070337795411963D+09 (age_target - star_age)/age_sigma 234 227.3651648550 reducing max timestep prior to age target 234 1.4778735715573688D+09 (age_target - star_age)/age_sigma 235 222.9687027282 reducing max timestep prior to age target 235 1.4492965677332172D+09 (age_target - star_age)/age_sigma 236 218.6601698439 reducing max timestep prior to age target 236 1.4212911039855494D+09 (age_target - star_age)/age_sigma 237 214.4378076174 reducing max timestep prior to age target 237 1.3938457495128345D+09 (age_target - star_age)/age_sigma 238 210.2998926353 reducing max timestep prior to age target 238 1.3669493021295738D+09 (age_target - star_age)/age_sigma 239 206.2447359529 reducing max timestep prior to age target 239 1.3405907836939788D+09 240 7.170582 5690.150 -0.051886 -0.051886 1.000000 1.000000 0.462916 0.004960 0.250007 -1.577884 509 0 7.4121E+00 7.170582 -0.013504 -44.157261 -1.696165 -99.000000 0.000000 0.517403 0.008806 0.017492 0.105767 10 3.2547E+09 2.085457 -0.051819 -99.000000 -99.000000 -6.885153 0.000000 0.000017 0.001996 0.019682 0.000E+00 max_dt rel_E_err 1.7819884115273454D-13 log_rel_run_E_err -10.3191910286948527 (age_target - star_age)/age_sigma 240 202.2706824042 reducing max timestep prior to age target 240 1.3147594356270952D+09 (age_target - star_age)/age_sigma 241 198.3761099264 reducing max timestep prior to age target 241 1.2894447145215492D+09 (age_target - star_age)/age_sigma 242 194.5594288982 reducing max timestep prior to age target 242 1.2646362878381143D+09 (age_target - star_age)/age_sigma 244 187.0787340829 reducing max timestep prior to age target 244 1.2160117715385823D+09 (age_target - star_age)/age_sigma 245 183.4131936234 reducing max timestep prior to age target 245 1.1921857585518117D+09 (age_target - star_age)/age_sigma 246 179.8209639730 reducing max timestep prior to age target 246 1.1688362658247766D+09 (age_target - star_age)/age_sigma 247 176.3005789157 reducing max timestep prior to age target 247 1.1459537629522820D+09 (age_target - star_age)/age_sigma 248 172.8506015596 reducing max timestep prior to age target 248 1.1235289101372366D+09 (age_target - star_age)/age_sigma 249 169.4696237505 reducing max timestep prior to age target 249 1.1015525543784928D+09 250 7.174327 5695.282 -0.044136 -0.044136 1.000000 1.000000 0.443662 0.004998 0.248565 -1.568577 509 0 7.3332E+00 7.174327 -0.010412 -43.904144 -1.684746 -99.000000 0.000000 0.536632 0.008782 0.017403 0.107783 10 3.4895E+09 2.100573 -0.044070 -15.954590 -99.000000 -6.890854 0.000000 0.000018 0.001999 0.019706 0.000E+00 max_dt rel_E_err 1.8288995053929915D-13 log_rel_run_E_err -10.3039603504087953 (age_target - star_age)/age_sigma 250 166.1562654977 reducing max timestep prior to age target 250 1.0800157257349238D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 162.9091744099 reducing max timestep prior to age target 251 1.0589096336642265D+09 (age_target - star_age)/age_sigma 252 159.7270251438 reducing max timestep prior to age target 252 1.0382256634349427D+09 (age_target - star_age)/age_sigma 253 156.6085188631 reducing max timestep prior to age target 253 1.0179553726102448D+09 (age_target - star_age)/age_sigma 254 153.5523827080 reducing max timestep prior to age target 254 9.9809048760204077D+08 (age_target - star_age)/age_sigma 255 150.5573692760 reducing max timestep prior to age target 255 9.7862290029400063D+08 (age_target - star_age)/age_sigma 256 147.6222561126 reducing max timestep prior to age target 256 9.5954466473212147D+08 (age_target - star_age)/age_sigma 257 144.7458452125 reducing max timestep prior to age target 257 9.4084799388147974D+08 (age_target - star_age)/age_sigma 258 141.9269625304 reducing max timestep prior to age target 258 9.2252525644785118D+08 (age_target - star_age)/age_sigma 259 139.1644575020 reducing max timestep prior to age target 259 9.0456897376289511D+08 260 7.177642 5699.441 -0.037664 -0.037664 1.000000 1.000000 0.427673 0.005035 0.247379 -1.560533 508 0 7.2454E+00 7.177642 -0.007811 -43.691751 -1.674986 -99.000000 0.000000 0.552601 0.008757 0.017329 0.109521 10 3.6825E+09 2.113618 -0.037600 -99.000000 -99.000000 -6.895633 0.000000 0.000018 0.002001 0.019726 0.000E+00 max_dt rel_E_err 1.7756812470020617D-13 log_rel_run_E_err -10.2892631648499151 (age_target - star_age)/age_sigma 260 136.4572025741 reducing max timestep prior to age target 260 8.8697181673163795D+08 (age_target - star_age)/age_sigma 261 133.8040927448 reducing max timestep prior to age target 261 8.6972660284100580D+08 (age_target - star_age)/age_sigma 262 131.2040451120 reducing max timestep prior to age target 262 8.5282629322818661D+08 (age_target - star_age)/age_sigma 263 128.6559984319 reducing max timestep prior to age target 263 8.3626398980762386D+08 (age_target - star_age)/age_sigma 264 126.1589126855 reducing max timestep prior to age target 264 8.2003293245547247D+08 (age_target - star_age)/age_sigma 265 123.7117686539 reducing max timestep prior to age target 265 8.0412649625036383D+08 (age_target - star_age)/age_sigma 266 121.3135675030 reducing max timestep prior to age target 266 7.8853818876935720D+08 (age_target - star_age)/age_sigma 267 118.9633303751 reducing max timestep prior to age target 267 7.7326164743797112D+08 (age_target - star_age)/age_sigma 268 116.6600979897 reducing max timestep prior to age target 268 7.5829063693321228D+08 (age_target - star_age)/age_sigma 269 114.4029302521 reducing max timestep prior to age target 269 7.4361904663854885D+08 270 7.180293 5702.705 -0.032327 -0.032327 1.000000 1.000000 0.414494 0.005068 0.246428 -1.553877 508 0 7.1577E+00 7.180293 -0.005641 -43.516208 -1.666734 -99.000000 0.000000 0.565765 0.008733 0.017270 0.111022 10 3.8403E+09 2.124300 -0.032265 -15.255620 -99.000000 -6.899559 0.000000 0.000018 0.002003 0.019741 0.000E+00 max_dt rel_E_err 1.7378954483302027D-13 log_rel_run_E_err -10.2747516922672730 (age_target - star_age)/age_sigma 270 112.1909058692 reducing max timestep prior to age target 270 7.2924088814977884D+08 (age_target - star_age)/age_sigma 271 110.0231219740 reducing max timestep prior to age target 271 7.1515029283078432D+08 (age_target - star_age)/age_sigma 272 107.8986937566 reducing max timestep prior to age target 272 7.0134150941816902D+08 (age_target - star_age)/age_sigma 273 105.8167541037 reducing max timestep prior to age target 273 6.8780890167380667D+08 (age_target - star_age)/age_sigma 274 103.7764532437 reducing max timestep prior to age target 274 6.7454694608433151D+08 (age_target - star_age)/age_sigma 275 101.7769584010 reducing max timestep prior to age target 275 6.6155022960664558D+08 (age_target - star_age)/age_sigma 276 99.8174534552 reducing max timestep prior to age target 276 6.4881344745851326D+08 (age_target - star_age)/age_sigma 277 97.8971386082 reducing max timestep prior to age target 277 6.3633140095334387D+08 (age_target - star_age)/age_sigma 279 94.1333215082 reducing max timestep prior to age target 279 6.1186658980321121D+08 280 7.182510 5705.312 -0.027911 -0.027911 1.000000 1.000000 0.403615 0.005099 0.245660 -1.548296 508 0 7.0787E+00 7.182510 -0.003831 -43.370447 -1.659778 -99.000000 0.000000 0.576632 0.008709 0.017223 0.112302 5 3.9696E+09 2.133226 -0.027851 -15.477469 -99.000000 -6.902800 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.7175156858003410D-13 log_rel_run_E_err -10.2605781935339397 (age_target - star_age)/age_sigma 280 92.2890511292 reducing max timestep prior to age target 280 5.9987883233964682D+08 (age_target - star_age)/age_sigma 281 90.4816661577 reducing max timestep prior to age target 281 5.8813083002535295D+08 (age_target - star_age)/age_sigma 282 88.7104288857 reducing max timestep prior to age target 282 5.7661778775734520D+08 (age_target - star_age)/age_sigma 283 86.9746163592 reducing max timestep prior to age target 283 5.6533500633469772D+08 (age_target - star_age)/age_sigma 284 85.2735200832 reducing max timestep prior to age target 284 5.5427788054050350D+08 (age_target - star_age)/age_sigma 285 83.6064457326 reducing max timestep prior to age target 285 5.4344189726219273D+08 (age_target - star_age)/age_sigma 286 81.9727128691 reducing max timestep prior to age target 286 5.3282263364944839D+08 (age_target - star_age)/age_sigma 287 80.3716546629 reducing max timestep prior to age target 287 5.2241575530895948D+08 (age_target - star_age)/age_sigma 288 78.8026176208 reducing max timestep prior to age target 288 5.1221701453527975D+08 (age_target - star_age)/age_sigma 289 77.2649613195 reducing max timestep prior to age target 289 5.0222224857707357D+08 290 7.184383 5707.432 -0.024215 -0.024215 1.000000 1.000000 0.394530 0.005126 0.245028 -1.543572 509 0 6.9910E+00 7.184383 -0.002306 -43.248093 -1.653865 -99.000000 0.000000 0.585709 0.008687 0.017184 0.113400 5 4.0771E+09 2.140758 -0.024156 -15.954590 -99.000000 -6.905509 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.8679596232141109D-13 log_rel_run_E_err -10.2464848463885652 (age_target - star_age)/age_sigma 290 75.7580581443 reducing max timestep prior to age target 290 4.9242737793803167D+08 (age_target - star_age)/age_sigma 291 74.2812930326 reducing max timestep prior to age target 291 4.8282840471177053D+08 (age_target - star_age)/age_sigma 292 72.8340632231 reducing max timestep prior to age target 292 4.7342141095003462D+08 (age_target - star_age)/age_sigma 293 71.4157780098 reducing max timestep prior to age target 293 4.6420255706353331D+08 (age_target - star_age)/age_sigma 294 70.0258585007 reducing max timestep prior to age target 294 4.5516808025476217D+08 (age_target - star_age)/age_sigma 295 68.6637373819 reducing max timestep prior to age target 295 4.4631429298216629D+08 (age_target - star_age)/age_sigma 296 67.3288586854 reducing max timestep prior to age target 296 4.3763758145502281D+08 (age_target - star_age)/age_sigma 297 66.0206775628 reducing max timestep prior to age target 297 4.2913440415842152D+08 (age_target - star_age)/age_sigma 298 64.7386600627 reducing max timestep prior to age target 298 4.2080129040775251D+08 (age_target - star_age)/age_sigma 299 63.4822829126 reducing max timestep prior to age target 299 4.1263483893209743D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.185934 5709.125 -0.021179 -0.021179 1.000000 1.000000 0.387071 0.005149 0.244517 -1.539669 509 0 6.9033E+00 7.185934 -0.001046 -43.147215 -1.648943 -99.000000 0.000000 0.593161 0.008666 0.017152 0.114321 5 4.1649E+09 2.146984 -0.021120 -99.000000 -99.000000 -6.907729 0.000000 0.000019 0.002008 0.019768 0.000E+00 max_dt rel_E_err 1.8607304938874423D-13 log_rel_run_E_err -10.2330570694747038 (age_target - star_age)/age_sigma 300 62.2510333055 reducing max timestep prior to age target 300 4.0463171648595476D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.0444086906 reducing max timestep prior to age target 301 3.9678865648873520D+08 (age_target - star_age)/age_sigma 302 59.8619165679 reducing max timestep prior to age target 302 3.8910245769146013D+08 (age_target - star_age)/age_sigma 303 58.7030742877 reducing max timestep prior to age target 303 3.8156998287013006D+08 (age_target - star_age)/age_sigma 304 57.5674088531 reducing max timestep prior to age target 304 3.7418815754522657D+08 (age_target - star_age)/age_sigma 305 56.4544567272 reducing max timestep prior to age target 305 3.6695396872682190D+08 (age_target - star_age)/age_sigma 306 55.3637636438 reducing max timestep prior to age target 306 3.5986446368478441D+08 (age_target - star_age)/age_sigma 307 54.2948844221 reducing max timestep prior to age target 307 3.5291674874358845D+08 (age_target - star_age)/age_sigma 308 53.2473827848 reducing max timestep prior to age target 308 3.4610798810121632D+08 (age_target - star_age)/age_sigma 309 52.2208311803 reducing max timestep prior to age target 309 3.3943540267169142D+08 310 7.187217 5710.487 -0.018686 -0.018686 1.000000 1.000000 0.380952 0.005170 0.244102 -1.536450 510 0 6.8155E+00 7.187217 -0.000007 -43.064165 -1.644857 -99.000000 0.000000 0.599274 0.008649 0.017127 0.115090 5 4.2366E+09 2.152121 -0.018629 -99.000000 -99.000000 -6.909552 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.8536675149962005D-13 log_rel_run_E_err -10.2201735110249530 (age_target - star_age)/age_sigma 310 51.2148106078 reducing max timestep prior to age target 310 3.3289626895075703D+08 (age_target - star_age)/age_sigma 311 50.2289104468 reducing max timestep prior to age target 311 3.2648791790424156D+08 (age_target - star_age)/age_sigma 312 49.2627282890 reducing max timestep prior to age target 312 3.2020773387865639D+08 (age_target - star_age)/age_sigma 314 47.3690112598 reducing max timestep prior to age target 314 3.0789857318850899D+08 (age_target - star_age)/age_sigma 315 46.4410899154 reducing max timestep prior to age target 315 3.0186708445033693D+08 (age_target - star_age)/age_sigma 316 45.5317269980 reducing max timestep prior to age target 316 2.9595622548692846D+08 (age_target - star_age)/age_sigma 317 44.6405513389 reducing max timestep prior to age target 317 2.9016358370278740D+08 (age_target - star_age)/age_sigma 318 43.7671991930 reducing max timestep prior to age target 318 2.8448679475432968D+08 (age_target - star_age)/age_sigma 319 42.9113140900 reducing max timestep prior to age target 319 2.7892354158484077D+08 320 7.188289 5711.597 -0.016613 -0.016613 1.000000 1.000000 0.375867 0.005188 0.243760 -1.533758 510 0 6.7366E+00 7.188289 0.000860 -42.994946 -1.641428 -99.000000 0.000000 0.604355 0.008633 0.017105 0.115740 5 4.2960E+09 2.156412 -0.016556 -15.954590 -99.000000 -6.911063 0.000000 0.000020 0.002009 0.019778 0.000E+00 max_dt rel_E_err 1.8616399647437728D-13 log_rel_run_E_err -10.2073896948305478 (age_target - star_age)/age_sigma 320 42.0725466890 reducing max timestep prior to age target 320 2.7347155347874165D+08 (age_target - star_age)/age_sigma 321 41.2505546361 reducing max timestep prior to age target 321 2.6812860513476467D+08 (age_target - star_age)/age_sigma 322 40.4450024243 reducing max timestep prior to age target 322 2.6289251575766754D+08 (age_target - star_age)/age_sigma 323 39.6555612566 reducing max timestep prior to age target 323 2.5776114816811275D+08 (age_target - star_age)/age_sigma 324 38.8819089124 reducing max timestep prior to age target 324 2.5273240793034840D+08 (age_target - star_age)/age_sigma 325 38.1237296150 reducing max timestep prior to age target 325 2.4780424249733925D+08 (age_target - star_age)/age_sigma 326 37.3807139035 reducing max timestep prior to age target 326 2.4297464037299156D+08 (age_target - star_age)/age_sigma 327 36.6525585063 reducing max timestep prior to age target 327 2.3824163029112911D+08 (age_target - star_age)/age_sigma 328 35.9389662171 reducing max timestep prior to age target 328 2.3360328041090488D+08 (age_target - star_age)/age_sigma 329 35.2396457736 reducing max timestep prior to age target 329 2.2905769752828407D+08 330 7.189177 5712.501 -0.014901 -0.014901 1.000000 1.000000 0.371674 0.005203 0.243475 -1.531529 510 0 6.6488E+00 7.189177 0.001578 -42.937728 -1.638577 -99.000000 0.000000 0.608544 0.008619 0.017088 0.116282 5 4.3449E+09 2.159966 -0.014846 -15.954590 -99.000000 -6.912310 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.6908306419042610D-13 log_rel_run_E_err -10.1952869534172894 (age_target - star_age)/age_sigma 330 34.5543117390 reducing max timestep prior to age target 330 2.2460302630331707D+08 (age_target - star_age)/age_sigma 331 33.8826843851 reducing max timestep prior to age target 331 2.2023744850284863D+08 (age_target - star_age)/age_sigma 332 33.2244895782 reducing max timestep prior to age target 332 2.1595918225838947D+08 (age_target - star_age)/age_sigma 333 32.5794586675 reducing max timestep prior to age target 333 2.1176648133881950D+08 (age_target - star_age)/age_sigma 334 31.9473283750 reducing max timestep prior to age target 334 2.0765763443764114D+08 (age_target - star_age)/age_sigma 335 31.3278406884 reducing max timestep prior to age target 335 2.0363096447448635D+08 (age_target - star_age)/age_sigma 336 30.7207427555 reducing max timestep prior to age target 336 1.9968482791059494D+08 (age_target - star_age)/age_sigma 337 30.1257867812 reducing max timestep prior to age target 337 1.9581761407798100D+08 (age_target - star_age)/age_sigma 338 29.5427299265 reducing max timestep prior to age target 338 1.9202774452201939D+08 (age_target - star_age)/age_sigma 339 28.9713342088 reducing max timestep prior to age target 339 1.8831367235717678D+08 340 7.189908 5713.237 -0.013498 -0.013498 1.000000 1.000000 0.368240 0.005216 0.243226 -1.529697 510 0 6.5611E+00 7.189908 0.002167 -42.890764 -1.636226 -99.000000 0.000000 0.611976 0.008608 0.017073 0.116731 5 4.3848E+09 2.162886 -0.013443 -15.954590 -99.000000 -6.913337 0.000000 0.000020 0.002010 0.019784 0.000E+00 max_dt rel_E_err 1.9396029978157679D-13 log_rel_run_E_err -10.1831825548926496 (age_target - star_age)/age_sigma 340 28.4113664055 reducing max timestep prior to age target 340 1.8467388163563156D+08 (age_target - star_age)/age_sigma 341 27.8625979582 reducing max timestep prior to age target 341 1.8110688672851753D+08 (age_target - star_age)/age_sigma 342 27.3248048799 reducing max timestep prior to age target 342 1.7761123171954441D+08 (age_target - star_age)/age_sigma 343 26.7977676632 reducing max timestep prior to age target 343 1.7418548981075191D+08 (age_target - star_age)/age_sigma 344 26.2812711908 reducing max timestep prior to age target 344 1.7082826274013519D+08 (age_target - star_age)/age_sigma 345 25.7751046478 reducing max timestep prior to age target 345 1.6753818021092987D+08 (age_target - star_age)/age_sigma 346 25.2790614357 reducing max timestep prior to age target 346 1.6431389933230972D+08 (age_target - star_age)/age_sigma 348 24.3068167400 reducing max timestep prior to age target 348 1.5799430881021404D+08 (age_target - star_age)/age_sigma 349 23.8304168391 reducing max timestep prior to age target 349 1.5489770945438671D+08 350 7.190512 5713.836 -0.012343 -0.012343 1.000000 1.000000 0.365412 0.005226 0.243022 -1.528184 510 0 6.4821E+00 7.190512 0.002654 -42.852035 -1.634279 -99.000000 0.000000 0.614801 0.008598 0.017060 0.117104 5 4.4176E+09 2.165296 -0.012288 -15.653560 -99.000000 -6.914182 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.7626063445790909D-13 log_rel_run_E_err -10.1715462345501848 (age_target - star_age)/age_sigma 350 23.3635449363 reducing max timestep prior to age target 350 1.5186304208567619D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9060104714 reducing max timestep prior to age target 351 1.4888906806433964D+08 (age_target - star_age)/age_sigma 352 22.4576266959 reducing max timestep prior to age target 352 1.4597457352342987D+08 (age_target - star_age)/age_sigma 353 22.0182105959 reducing max timestep prior to age target 353 1.4311836887333870D+08 (age_target - star_age)/age_sigma 354 21.5875828179 reducing max timestep prior to age target 354 1.4031928831624889D+08 (age_target - star_age)/age_sigma 355 21.1655675954 reducing max timestep prior to age target 355 1.3757618937030125D+08 (age_target - star_age)/age_sigma 356 20.7519926774 reducing max timestep prior to age target 356 1.3488795240327168D+08 (age_target - star_age)/age_sigma 357 20.3466892578 reducing max timestep prior to age target 357 1.3225348017558384D+08 (age_target - star_age)/age_sigma 358 19.9494919065 reducing max timestep prior to age target 358 1.2967169739244843D+08 (age_target - star_age)/age_sigma 359 19.5602385023 reducing max timestep prior to age target 359 1.2714155026497650D+08 360 7.191014 5714.329 -0.011383 -0.011383 1.000000 1.000000 0.363065 0.005236 0.242855 -1.526925 510 0 6.3944E+00 7.191014 0.003058 -42.819834 -1.632656 -99.000000 0.000000 0.617147 0.008590 0.017050 0.117416 5 4.4448E+09 2.167303 -0.011329 -99.000000 -99.000000 -6.914883 0.000000 0.000020 0.002011 0.019788 0.000E+00 max_dt rel_E_err 1.7283184523795384D-13 log_rel_run_E_err -10.1601287522599257 (age_target - star_age)/age_sigma 360 19.1787701662 reducing max timestep prior to age target 360 1.2466200608005428D+08 (age_target - star_age)/age_sigma 361 18.8049311967 reducing max timestep prior to age target 361 1.2223205277883053D+08 (age_target - star_age)/age_sigma 362 18.4385690067 reducing max timestep prior to age target 362 1.1985069854363060D+08 (age_target - star_age)/age_sigma 363 18.0795340605 reducing max timestep prior to age target 363 1.1751697139313507D+08 (age_target - star_age)/age_sigma 364 17.7276798132 reducing max timestep prior to age target 364 1.1522991878564930D+08 (age_target - star_age)/age_sigma 365 17.3828626508 reducing max timestep prior to age target 365 1.1298860723031330D+08 (age_target - star_age)/age_sigma 366 17.0449418317 reducing max timestep prior to age target 366 1.1079212190608501D+08 (age_target - star_age)/age_sigma 367 16.7137794290 reducing max timestep prior to age target 367 1.0863956628833961D+08 (age_target - star_age)/age_sigma 368 16.3892402743 reducing max timestep prior to age target 368 1.0653006178295040D+08 (age_target - star_age)/age_sigma 369 16.0711919027 reducing max timestep prior to age target 369 1.0446274736766815D+08 370 7.191426 5714.730 -0.010598 -0.010598 1.000000 1.000000 0.361144 0.005243 0.242718 -1.525892 510 0 6.3066E+00 7.191426 0.003390 -42.793458 -1.631323 -99.000000 0.000000 0.619066 0.008582 0.017041 0.117672 5 4.4671E+09 2.168947 -0.010544 -99.000000 -99.000000 -6.915457 0.000000 0.000020 0.002011 0.019790 0.000E+00 max_dt rel_E_err 1.6430035198822316D-13 log_rel_run_E_err -10.1493165023612253 (age_target - star_age)/age_sigma 370 15.7595044986 reducing max timestep prior to age target 370 1.0243677924069214D+08 (age_target - star_age)/age_sigma 371 15.4540508425 reducing max timestep prior to age target 371 1.0045133047625542D+08 (age_target - star_age)/age_sigma 372 15.1547062596 reducing max timestep prior to age target 372 9.8505590687107086D+07 (age_target - star_age)/age_sigma 373 14.8613485683 reducing max timestep prior to age target 373 9.6598765693741798D+07 (age_target - star_age)/age_sigma 374 14.5738580308 reducing max timestep prior to age target 374 9.4730077200243950D+07 (age_target - star_age)/age_sigma 375 14.2921173041 reducing max timestep prior to age target 375 9.2898762476616859D+07 (age_target - star_age)/age_sigma 376 14.0160113919 reducing max timestep prior to age target 376 9.1104074047461510D+07 (age_target - star_age)/age_sigma 377 13.7454275980 reducing max timestep prior to age target 377 8.9345279386889458D+07 (age_target - star_age)/age_sigma 378 13.4802554799 reducing max timestep prior to age target 378 8.7621660619528770D+07 (age_target - star_age)/age_sigma 379 13.2203868042 reducing max timestep prior to age target 379 8.5932514227515221D+07 380 7.191764 5715.055 -0.009956 -0.009956 1.000000 1.000000 0.359573 0.005250 0.242606 -1.525046 510 0 6.2189E+00 7.191764 0.003661 -42.771864 -1.630229 -99.000000 0.000000 0.620636 0.008577 0.017034 0.117883 5 4.4852E+09 2.170295 -0.009902 -15.653560 -99.000000 -6.915925 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.5875307770146675D-13 log_rel_run_E_err -10.1387121338586592 (age_target - star_age)/age_sigma 380 12.9657155021 reducing max timestep prior to age target 380 8.4277150763341904D+07 (age_target - star_age)/age_sigma 381 12.7161376259 reducing max timestep prior to age target 381 8.2654894568451881D+07 (age_target - star_age)/age_sigma 382 12.4715513073 reducing max timestep prior to age target 382 8.1065083497460365D+07 (age_target - star_age)/age_sigma 384 11.9921621228 reducing max timestep prior to age target 384 7.7949053798316002D+07 (age_target - star_age)/age_sigma 385 11.7572614224 reducing max timestep prior to age target 385 7.6422199245735168D+07 (age_target - star_age)/age_sigma 386 11.5270587360 reducing max timestep prior to age target 386 7.4925881784205437D+07 (age_target - star_age)/age_sigma 387 11.3014601034 reducing max timestep prior to age target 387 7.3459490671907425D+07 (age_target - star_age)/age_sigma 388 11.0803734434 reducing max timestep prior to age target 388 7.2022427381855011D+07 (age_target - star_age)/age_sigma 389 10.8637085166 reducing max timestep prior to age target 389 7.0614105357603073D+07 390 7.192045 5715.324 -0.009423 -0.009423 1.000000 1.000000 0.358270 0.005255 0.242514 -1.524344 510 0 6.1399E+00 7.192045 0.003887 -42.753946 -1.629320 -99.000000 0.000000 0.621938 0.008572 0.017029 0.118059 5 4.5003E+09 2.171414 -0.009370 -99.000000 -99.000000 -6.916314 0.000000 0.000020 0.002012 0.019792 0.000E+00 max_dt rel_E_err 1.8512766427630625D-13 log_rel_run_E_err -10.1282228491666526 (age_target - star_age)/age_sigma 390 10.6513768883 reducing max timestep prior to age target 390 6.9233949773837090D+07 (age_target - star_age)/age_sigma 391 10.4432918926 reducing max timestep prior to age target 391 6.7881397301745415D+07 (age_target - star_age)/age_sigma 392 10.2393685968 reducing max timestep prior to age target 392 6.6555895879096985D+07 (age_target - star_age)/age_sigma 393 10.0395237669 reducing max timestep prior to age target 393 6.5256904484900475D+07 (age_target - star_age)/age_sigma 394 9.8436758336 reducing max timestep prior to age target 394 6.3983892918587685D+07 (age_target - star_age)/age_sigma 395 9.6517448590 reducing max timestep prior to age target 395 6.2736341583601952D+07 (age_target - star_age)/age_sigma 396 9.4636525039 reducing max timestep prior to age target 396 6.1513741275315285D+07 (age_target - star_age)/age_sigma 397 9.2793219959 reducing max timestep prior to age target 397 6.0315592973194122D+07 (age_target - star_age)/age_sigma 398 9.0986780980 reducing max timestep prior to age target 398 5.9141407637116432D+07 (age_target - star_age)/age_sigma 399 8.9216470781 reducing max timestep prior to age target 399 5.7990706007759094D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.192276 5715.544 -0.008985 -0.008985 1.000000 1.000000 0.357198 0.005259 0.242439 -1.523765 510 0 6.0522E+00 7.192276 0.004072 -42.739191 -1.628571 -99.000000 0.000000 0.623009 0.008568 0.017024 0.118204 4 4.5126E+09 2.172335 -0.008932 -99.000000 -99.000000 -6.916633 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7745673780761927D-13 log_rel_run_E_err -10.1181307886758187 (age_target - star_age)/age_sigma 400 8.7481566786 reducing max timestep prior to age target 400 5.6863018410989761D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.5781360871 reducing max timestep prior to age target 401 5.5757884566155434D+07 (age_target - star_age)/age_sigma 402 8.4115159074 reducing max timestep prior to age target 402 5.4674853398218155D+07 (age_target - star_age)/age_sigma 403 8.2482281313 reducing max timestep prior to age target 403 5.3613482853638649D+07 (age_target - star_age)/age_sigma 404 8.0882061108 reducing max timestep prior to age target 404 5.2573339719951630D+07 (age_target - star_age)/age_sigma 405 7.9313845306 reducing max timestep prior to age target 405 5.1553999448938370D+07 (age_target - star_age)/age_sigma 406 7.7776993821 reducing max timestep prior to age target 406 5.0555045983345032D+07 (age_target - star_age)/age_sigma 407 7.6270879365 reducing max timestep prior to age target 407 4.9576071587063789D+07 (age_target - star_age)/age_sigma 408 7.4794887198 reducing max timestep prior to age target 408 4.8616676678709030D+07 (age_target - star_age)/age_sigma 409 7.3348414875 reducing max timestep prior to age target 409 4.7676469668519974D+07 410 7.192465 5715.723 -0.008627 -0.008627 1.000000 1.000000 0.356322 0.005263 0.242377 -1.523291 510 0 5.9644E+00 7.192465 0.004224 -42.727121 -1.627957 -99.000000 0.000000 0.623885 0.008564 0.017020 0.118323 3 4.5227E+09 2.173089 -0.008573 -15.255620 -99.000000 -6.916895 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.9361854386471108D-13 log_rel_run_E_err -10.1080877164317933 (age_target - star_age)/age_sigma 410 7.1930871998 reducing max timestep prior to age target 410 4.6755066798535347D+07 (age_target - star_age)/age_sigma 411 7.0541679978 reducing max timestep prior to age target 411 4.5852091985950470D+07 (age_target - star_age)/age_sigma 412 6.9180271799 reducing max timestep prior to age target 412 4.4967176669617653D+07 (age_target - star_age)/age_sigma 413 6.7846091784 reducing max timestep prior to age target 413 4.4099959659610748D+07 (age_target - star_age)/age_sigma 414 6.6538595369 reducing max timestep prior to age target 414 4.3250086989804268D+07 (age_target - star_age)/age_sigma 415 6.5257248882 reducing max timestep prior to age target 415 4.2417211773393631D+07 (age_target - star_age)/age_sigma 416 6.4001529325 reducing max timestep prior to age target 416 4.1600994061311722D+07 (age_target - star_age)/age_sigma 418 6.1540318993 reducing max timestep prior to age target 418 4.0001207345630646D+07 (age_target - star_age)/age_sigma 419 6.0334325931 reducing max timestep prior to age target 419 3.9217311854947090D+07 420 7.192621 5715.870 -0.008332 -0.008332 1.000000 1.000000 0.355601 0.005266 0.242327 -1.522902 510 0 5.8855E+00 7.192621 0.004349 -42.717193 -1.627452 -99.000000 0.000000 0.624605 0.008561 0.017017 0.118421 3 4.5311E+09 2.173710 -0.008279 -15.176439 -99.000000 -6.917109 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.8318570562045729D-13 log_rel_run_E_err -10.0983545731864535 (age_target - star_age)/age_sigma 420 5.9152452729 reducing max timestep prior to age target 420 3.8449094274076462D+07 (age_target - star_age)/age_sigma 421 5.7994216992 reducing max timestep prior to age target 421 3.7696241044823647D+07 (age_target - star_age)/age_sigma 422 5.6859145969 reducing max timestep prior to age target 422 3.6958444880156517D+07 (age_target - star_age)/age_sigma 423 5.5746776367 reducing max timestep prior to age target 423 3.6235404638781548D+07 (age_target - star_age)/age_sigma 424 5.4656654157 reducing max timestep prior to age target 424 3.5526825202235222D+07 (age_target - star_age)/age_sigma 425 5.3588334391 reducing max timestep prior to age target 425 3.4832417354418755D+07 (age_target - star_age)/age_sigma 426 5.2541381021 reducing max timestep prior to age target 426 3.4151897663558960D+07 (age_target - star_age)/age_sigma 427 5.1515366718 reducing max timestep prior to age target 427 3.3484988366517067D+07 (age_target - star_age)/age_sigma 428 5.0509872701 reducing max timestep prior to age target 428 3.2831417255414963D+07 (age_target - star_age)/age_sigma 429 4.9519483040 reducing max timestep prior to age target 429 3.2187663975896835D+07 430 7.192750 5715.992 -0.008087 -0.008087 1.000000 1.000000 0.355002 0.005268 0.242285 -1.522577 510 0 5.8087E+00 7.192750 0.004453 -42.708934 -1.627031 -99.000000 0.000000 0.625204 0.008559 0.017015 0.118503 3 4.5380E+09 2.174226 -0.008034 -99.000000 -99.000000 -6.917288 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.7913741682999983D-13 log_rel_run_E_err -10.0890628192828107 (age_target - star_age)/age_sigma 430 4.8529093379 remaining steps and years until age target 430 49 3.1543910696379662D+07 (age_target - star_age)/age_sigma 431 4.7538703718 reducing max timestep prior to age target 431 3.0900157416861534D+07 (age_target - star_age)/age_sigma 432 4.6548314057 reducing max timestep prior to age target 432 3.0256404137343407D+07 (age_target - star_age)/age_sigma 433 4.5557924397 remaining steps and years until age target 433 46 2.9612650857826233D+07 (age_target - star_age)/age_sigma 434 4.4567534736 reducing max timestep prior to age target 434 2.8968897578308105D+07 (age_target - star_age)/age_sigma 435 4.3577145075 reducing max timestep prior to age target 435 2.8325144298789978D+07 (age_target - star_age)/age_sigma 436 4.2586755414 remaining steps and years until age target 436 43 2.7681391019272804D+07 (age_target - star_age)/age_sigma 437 4.1596365753 reducing max timestep prior to age target 437 2.7037637739754677D+07 (age_target - star_age)/age_sigma 438 4.0605976093 reducing max timestep prior to age target 438 2.6393884460236549D+07 (age_target - star_age)/age_sigma 439 3.9615586432 remaining steps and years until age target 439 40 2.5750131180719376D+07 440 7.192871 5716.106 -0.007858 -0.007858 1.000000 1.000000 0.354443 0.005271 0.242245 -1.522274 510 0 5.8087E+00 7.192871 0.004550 -42.701229 -1.626638 -99.000000 0.000000 0.625762 0.008557 0.017012 0.118579 3 4.5444E+09 2.174708 -0.007806 -15.352530 -99.000000 -6.917454 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9359867183027837D-13 log_rel_run_E_err -10.0795356738950730 (age_target - star_age)/age_sigma 440 3.8625196771 reducing max timestep prior to age target 440 2.5106377901201248D+07 (age_target - star_age)/age_sigma 441 3.7634807110 reducing max timestep prior to age target 441 2.4462624621683121D+07 (age_target - star_age)/age_sigma 442 3.6644417449 reducing max timestep prior to age target 442 2.3818871342164993D+07 (age_target - star_age)/age_sigma 443 3.5654027789 remaining steps and years until age target 443 36 2.3175118062647820D+07 (age_target - star_age)/age_sigma 444 3.4663638128 reducing max timestep prior to age target 444 2.2531364783129692D+07 (age_target - star_age)/age_sigma 445 3.3673248467 reducing max timestep prior to age target 445 2.1887611503611565D+07 (age_target - star_age)/age_sigma 446 3.2682858806 remaining steps and years until age target 446 33 2.1243858224094391D+07 (age_target - star_age)/age_sigma 447 3.1692469146 reducing max timestep prior to age target 447 2.0600104944576263D+07 (age_target - star_age)/age_sigma 448 3.0702079485 reducing max timestep prior to age target 448 1.9956351665058136D+07 (age_target - star_age)/age_sigma 449 2.9711689824 remaining steps and years until age target 449 30 1.9312598385540962D+07 450 7.192992 5716.219 -0.007630 -0.007630 1.000000 1.000000 0.353884 0.005273 0.242206 -1.521971 510 0 5.8087E+00 7.192992 0.004647 -42.693519 -1.626245 -99.000000 0.000000 0.626321 0.008555 0.017010 0.118655 3 4.5508E+09 2.175190 -0.007577 -99.000000 -99.000000 -6.917620 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8550868655397797D-13 log_rel_run_E_err -10.0703070005056130 (age_target - star_age)/age_sigma 450 2.8721300163 reducing max timestep prior to age target 450 1.8668845106022835D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7730910502 reducing max timestep prior to age target 451 1.8025091826504707D+07 (age_target - star_age)/age_sigma 452 2.6740520842 remaining steps and years until age target 452 27 1.7381338546987534D+07 (age_target - star_age)/age_sigma 453 2.5750131181 reducing max timestep prior to age target 453 1.6737585267469406D+07 (age_target - star_age)/age_sigma 454 2.4759741520 reducing max timestep prior to age target 454 1.6093831987951279D+07 (age_target - star_age)/age_sigma 455 2.3769351859 reducing max timestep prior to age target 455 1.5450078708433151D+07 (age_target - star_age)/age_sigma 456 2.2778962198 remaining steps and years until age target 456 23 1.4806325428915977D+07 (age_target - star_age)/age_sigma 457 2.1788572538 reducing max timestep prior to age target 457 1.4162572149397850D+07 (age_target - star_age)/age_sigma 458 2.0798182877 reducing max timestep prior to age target 458 1.3518818869879723D+07 (age_target - star_age)/age_sigma 459 1.9807793216 remaining steps and years until age target 459 20 1.2875065590362549D+07 460 7.193113 5716.333 -0.007401 -0.007401 1.000000 1.000000 0.353325 0.005275 0.242167 -1.521668 510 0 5.8087E+00 7.193113 0.004744 -42.685804 -1.625851 -99.000000 0.000000 0.626880 0.008552 0.017007 0.118732 3 4.5573E+09 2.175673 -0.007348 -15.653560 -99.000000 -6.917787 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.6890988712423899D-13 log_rel_run_E_err -10.0614209183822307 (age_target - star_age)/age_sigma 460 1.8817403555 reducing max timestep prior to age target 460 1.2231312310843468D+07 (age_target - star_age)/age_sigma 461 1.7827013894 remaining steps and years until age target 461 18 1.1587559031326294D+07 (age_target - star_age)/age_sigma 462 1.6836624234 remaining steps and years until age target 462 17 1.0943805751808167D+07 (age_target - star_age)/age_sigma 463 1.5846234573 reducing max timestep prior to age target 463 1.0300052472289085D+07 (age_target - star_age)/age_sigma 464 1.4855844912 remaining steps and years until age target 464 15 9.6562991927719116D+06 (age_target - star_age)/age_sigma 465 1.3865455251 reducing max timestep prior to age target 465 9.0125459132528305D+06 (age_target - star_age)/age_sigma 466 1.2875065590 remaining steps and years until age target 466 13 8.3687926337356567D+06 (age_target - star_age)/age_sigma 467 1.1884675930 reducing max timestep prior to age target 467 7.7250393542165756D+06 (age_target - star_age)/age_sigma 468 1.0894286269 remaining steps and years until age target 468 11 7.0812860746994019D+06 (age_target - star_age)/age_sigma 469 0.9903896608 remaining steps and years until age target 469 10 6.4375327951812744D+06 470 7.193234 5716.446 -0.007172 -0.007172 1.000000 1.000000 0.352765 0.005278 0.242128 -1.521365 510 0 5.8087E+00 7.193234 0.004841 -42.678083 -1.625456 -99.000000 0.000000 0.627439 0.008550 0.017005 0.118809 3 4.5637E+09 2.176156 -0.007120 -15.477469 -99.000000 -6.917953 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8868831762561486D-13 log_rel_run_E_err -10.0525581275639144 (age_target - star_age)/age_sigma 470 0.8913506947 reducing max timestep prior to age target 470 5.7937795156621933D+06 (age_target - star_age)/age_sigma 471 0.7923117286 remaining steps and years until age target 471 8 5.1500262361450195D+06 (age_target - star_age)/age_sigma 472 0.6932727626 reducing max timestep prior to age target 472 4.5062729566259384D+06 (age_target - star_age)/age_sigma 473 0.5942337965 remaining steps and years until age target 473 6 3.8625196771087646D+06 (age_target - star_age)/age_sigma 474 0.4951948304 remaining steps and years until age target 474 5 3.2187663975906372D+06 (age_target - star_age)/age_sigma 475 0.3961558643 remaining steps and years until age target 475 4 2.5750131180725098D+06 (age_target - star_age)/age_sigma 476 0.2971168982 remaining steps and years until age target 476 3 1.9312598385543823D+06 (age_target - star_age)/age_sigma 477 0.1980779322 reducing max timestep prior to age target 477 1.2875065590353012D+06 (age_target - star_age)/age_sigma 478 0.0990389661 remaining steps and years until age target 478 1 6.4375327951812744D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333376.79 0.00 333376.79 save outputs/best.mod 479 save outputs/best.profile for model 479 save LOGS/profile11.data for model 479 have reached age_target save LOGS/profile11.data for model 479 solver retries 4 varcontrol dt limit 162 max increase dt limit 2143 lgRho_cntr dt limit 73 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333376.79 0.00 333376.79 have reached age_target runtime (minutes), retries, steps 3.01 0 479 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 479 7.193344 5716.548 -0.006966 -0.006966 1.000000 1.000000 0.352261 0.005280 0.242093 -1.521091 510 0 5.8087E+00 7.193344 0.004929 -42.671131 -1.625101 -99.000000 0.000000 0.627942 0.008548 0.017003 0.118878 3 4.5695E+09 2.176591 -0.006914 -99.000000 -99.000000 -6.918103 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.7783442191104826D-13 log_rel_run_E_err -10.0448356044943807 Teff 5716.5483620732 radius 1.0114129282 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 130.2549301035 M_H 0.0003508639 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 0.1231054498 log_R 0.0049285006 delta_nu 139.1365856807 nu_max 3023.4851123016 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2700000000 initial_FeH 0.0600000000 alpha 2.1350000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 333376.7926785178 model number 479 save best model results to outputs/sample_0004.data current set of sample results 1 2 3 4 5 6 7 8 samples version_number compiler build MESA_SDK_version math_backend date search_type 4 "7067e26" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251202" "newuoa" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first 4 3.3337679267851776E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620732275E+03 1.0114129282002264E+00 3.5086386214787716E-04 4.9285006215553989E-03 1.3913658568066575E+02 3.0234851123016156E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851776E+05 0 0 0 0 0 0 0 1 3.3351283960191364E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763963E+03 1.0231407131234020E+00 -1.7395981953360481E-03 9.9353665865702778E-03 1.3680762272705823E+02 2.9640776267831352E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191364E+05 0 0 0 0 0 0 0 3 3.3365606602481316E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367450E+03 1.0099970103007068E+00 2.9466215560994696E-02 4.3200882263779048E-03 1.3947582155333197E+02 3.0536692076808167E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602481316E+05 0 0 0 0 0 0 0 2 3.3468070564326138E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271320E+03 1.0622782375814146E+00 -1.2788199777018321E-02 2.6238284372326726E-02 1.2938435093834121E+02 2.7294282123454341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326138E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.6100000000000001D-01 -4.5000000000000001D-01 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.726 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953960 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571845 -99.000000 -99.000000 -7.767405 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.871 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515110 -99.000000 -99.000000 -7.738508 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.701 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488594 -99.000000 -99.000000 -7.719977 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.152 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 3.9000E-04 -1.867438 1.472452 -99.000000 -99.000000 -7.707416 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.527 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 4.9000E-04 -1.867438 1.461235 -99.000000 -99.000000 -7.698204 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562815646042354D-01 20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0 7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246319721660051D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -20.896008 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692957329111614D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.2004330292732877D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6100000000000001D-05 initial_he4 2.6097390000000004D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999647D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999495D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999304D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999084D+09 10 6.616017 4252.685 -4.940030 -4.940030 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023968 457 0 -4.3321E+00 6.616017 0.265362 -99.000000 -6.337779 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072072 10 2.3634E-04 0.147009 0.000072 -20.771070 -99.000000 -6.877439 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6988872770176544D-13 log_rel_run_E_err -11.5818662078046533 20 6.616025 4297.513 -4.940035 -4.940035 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023968 457 0 -3.5403E+00 6.616025 0.265448 -99.000000 -6.337784 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072072 6 1.6863E-03 0.147021 0.018458 -20.771070 -99.000000 -6.898674 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6519990332964558D-13 log_rel_run_E_err -11.2764575670998148 30 6.616040 4304.822 -4.940026 -4.940026 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -2.7485E+00 6.616040 0.265547 -99.000000 -6.337776 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 1.0664E-02 0.147043 0.021609 -20.293948 -99.000000 -6.902152 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.5507204247154865D-13 log_rel_run_E_err -11.0981908774984497 40 6.616046 4306.939 -4.940022 -4.940022 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -1.9567E+00 6.616046 0.265591 -99.000000 -6.337771 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 6.6254E-02 0.147053 0.022551 -20.470040 -99.000000 -6.903173 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.4531928590216509D-13 log_rel_run_E_err -10.9723671794971338 50 6.616047 4307.066 -4.940021 -4.940021 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -1.1648E+00 6.616047 0.265595 -99.000000 -6.337771 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 4.1045E-01 0.147054 0.022609 -99.000000 -99.000000 -6.903235 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7157668807566812D-13 log_rel_run_E_err -10.8758012689126407 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.616047 4307.067 -4.940020 -4.940020 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -3.7303E-01 6.616047 0.265595 -99.000000 -6.337770 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 2.5416E+00 0.147054 0.022610 -99.000000 -99.000000 -6.903236 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6932596811102254D-13 log_rel_run_E_err -10.7966966583613875 70 6.616048 4307.066 -4.940012 -4.940012 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023963 457 0 4.1878E-01 6.616048 0.265594 -99.000000 -6.337762 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 10 1.5737E+01 0.147057 0.022608 -99.000000 -99.000000 -6.903234 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6913789281481769D-13 log_rel_run_E_err -10.7296829544379300 80 6.616052 4307.061 -4.939964 -4.939964 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023942 457 0 1.2106E+00 6.616052 0.265589 -99.000000 -6.337713 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 9.7441E+01 0.147072 0.022596 -99.000000 -99.000000 -6.903226 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6613385383703984D-13 log_rel_run_E_err -10.6713281180448156 90 6.616080 4307.029 -4.939663 -4.939663 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023813 457 0 2.0024E+00 6.616080 0.265557 -99.000000 -6.337412 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072071 2 6.0333E+02 0.147170 0.022520 -99.000000 -99.000000 -6.903173 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6442622734677800D-13 log_rel_run_E_err -10.6190333339620846 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.616253 4306.828 -4.937803 -4.937803 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023014 457 0 2.7942E+00 6.616253 0.265363 -99.000000 -6.335552 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072076 2 3.7357E+03 0.147774 0.022050 -99.000000 -99.000000 -6.902847 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6186770954111913D-13 log_rel_run_E_err -10.5735007856656384 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.617314 4305.593 -4.926359 -4.926359 1.000000 1.000000 0.720043 0.000958 0.261000 -4.018077 457 0 3.5860E+00 6.617314 0.264166 -99.000000 -6.324107 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072105 2 2.3130E+04 0.151498 0.019158 -99.000000 -99.000000 -6.900836 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.8112732868541780D-13 log_rel_run_E_err -10.5338470790737713 120 6.623596 4298.114 -4.858219 -4.858219 1.000000 1.000000 0.720043 0.000958 0.261000 -3.988001 457 0 4.3778E+00 6.623596 0.257020 -99.000000 -6.255962 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072303 3 1.4322E+05 0.173902 0.001845 -99.000000 -99.000000 -6.888756 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6096982704095325D-13 log_rel_run_E_err -10.4734582225538873 130 6.653979 4257.646 -4.515618 -4.515618 1.000000 1.000000 0.720043 0.000958 0.261000 -3.816564 457 0 5.1697E+00 6.653979 0.220632 -99.000000 -5.913330 -99.000000 0.000000 0.261000 0.008891 0.018957 0.073895 4 8.8676E+05 0.293429 -0.087364 -20.470040 -99.000000 -6.825305 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.5812588341476961D-13 log_rel_run_E_err -10.4696373746417883 140 6.738006 4178.200 -3.535991 -3.535991 1.000000 1.000000 0.720041 0.000958 0.260999 -3.157813 466 0 5.8317E+00 6.738006 0.119164 -99.000000 -4.933525 -99.000000 0.000000 0.261003 0.008891 0.018957 0.083361 3 5.0210E+06 0.702558 -0.323021 -19.265920 -99.000000 -6.660089 0.000000 0.003267 0.001976 0.018957 0.000E+00 varcontrol rel_E_err 1.9383663929344271D-11 log_rel_run_E_err -10.3239874741824149 150 6.852739 4430.900 -2.374260 -2.374260 1.000000 1.000000 0.720029 0.000958 0.260994 -2.284641 473 0 6.0017E+00 6.852739 0.041108 -99.000000 -3.771155 -99.000000 0.000000 0.261014 0.008891 0.018956 0.097093 4 1.4324E+07 1.245425 -0.377123 -99.000000 -99.000000 -6.687128 0.000000 0.003267 0.001976 0.018957 0.000E+00 lgRho_cntr rel_E_err 2.0305623308822263D-13 log_rel_run_E_err -10.4366804553984736 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.022161 5256.088 -0.988182 -0.988182 1.000000 1.000000 0.719892 0.000963 0.260975 -1.554493 488 0 6.1235E+00 7.022161 0.011786 -53.243427 -2.399961 -99.000000 0.000000 0.261150 0.008892 0.018955 0.100776 5 2.6547E+07 1.802064 -0.139083 -16.158710 -99.000000 -6.826841 0.000000 0.003263 0.001976 0.018959 0.000E+00 lgRho_cntr rel_E_err 1.6375441096541988D-13 log_rel_run_E_err -10.5724138307100528 (age_target - star_age)/age_sigma 169 694.7990561069 reducing max timestep prior to age target 169 4.5161938646951151D+09 170 7.125461 5499.907 -0.187476 -0.187476 1.000000 1.000000 0.718254 0.002658 0.260792 -1.719774 509 0 6.8221E+00 7.125461 -0.052114 -47.558964 -1.779550 -99.000000 0.000000 0.262541 0.008893 0.018944 0.085141 5 5.9945E+07 1.890365 -0.188112 -15.954590 -99.000000 -6.795056 0.000000 0.001811 0.001977 0.019204 0.000E+00 max increase rel_E_err 1.9480508547540986D-13 log_rel_run_E_err -10.6119337330231893 (age_target - star_age)/age_sigma 177 677.9484206165 reducing max timestep prior to age target 177 4.4066647340072975D+09 180 7.124439 5517.471 -0.172700 -0.172700 1.000000 1.000000 0.705448 0.004759 0.259569 -1.668467 500 0 7.6139E+00 7.124439 -0.047155 -47.509067 -1.827588 -99.000000 0.000000 0.275021 0.008905 0.018866 0.087528 10 2.6674E+08 1.913060 -0.172656 -99.000000 -99.000000 -6.804009 0.000000 0.000017 0.001979 0.019531 0.000E+00 max increase rel_E_err 1.6819493598538028D-13 log_rel_run_E_err -10.5825003887294180 (age_target - star_age)/age_sigma 180 661.9635994646 reducing max timestep prior to age target 180 4.3027633965201569D+09 (age_target - star_age)/age_sigma 182 645.2691225166 reducing max timestep prior to age target 182 4.1942492963577628D+09 (age_target - star_age)/age_sigma 183 634.3418285142 reducing max timestep prior to age target 183 4.1232218853423781D+09 (age_target - star_age)/age_sigma 184 622.0228846565 reducing max timestep prior to age target 184 4.0431487502673984D+09 (age_target - star_age)/age_sigma 185 609.9503196760 reducing max timestep prior to age target 185 3.9646770778939185D+09 (age_target - star_age)/age_sigma 186 598.1192059951 reducing max timestep prior to age target 186 3.8877748389679079D+09 (age_target - star_age)/age_sigma 187 586.5247145878 reducing max timestep prior to age target 187 3.8124106448204179D+09 (age_target - star_age)/age_sigma 188 575.1621130086 reducing max timestep prior to age target 188 3.7385537345558777D+09 (age_target - star_age)/age_sigma 189 564.0267634610 reducing max timestep prior to age target 189 3.6661739624966278D+09 190 7.131691 5536.168 -0.152441 -0.152441 1.000000 1.000000 0.655630 0.004798 0.255425 -1.647967 503 0 7.8508E+00 7.131691 -0.039951 -46.892342 -1.817533 -99.000000 0.000000 0.324739 0.008940 0.018598 0.090814 10 9.7426E+08 1.945116 -0.152372 -15.954590 -99.000000 -6.816016 0.000000 0.000014 0.001989 0.019631 0.000E+00 max_dt rel_E_err 1.9046442494053406D-13 log_rel_run_E_err -10.5538212797852093 (age_target - star_age)/age_sigma 190 553.1141209044 reducing max timestep prior to age target 190 3.5952417858785634D+09 (age_target - star_age)/age_sigma 191 542.4197311989 reducing max timestep prior to age target 191 3.5257282527928600D+09 (age_target - star_age)/age_sigma 192 531.9392292875 reducing max timestep prior to age target 192 3.4576049903688707D+09 (age_target - star_age)/age_sigma 193 521.6683374144 reducing max timestep prior to age target 193 3.3908441931933613D+09 (age_target - star_age)/age_sigma 194 511.6028633787 reducing max timestep prior to age target 194 3.3254186119613624D+09 (age_target - star_age)/age_sigma 195 501.7386988237 reducing max timestep prior to age target 195 3.2613015423540030D+09 (age_target - star_age)/age_sigma 196 492.0718175598 reducing max timestep prior to age target 196 3.1984668141387911D+09 (age_target - star_age)/age_sigma 197 482.5982739212 reducing max timestep prior to age target 197 3.1368887804878836D+09 (age_target - star_age)/age_sigma 198 473.3142011554 reducing max timestep prior to age target 198 3.0765423075099936D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.138991 5551.935 -0.134989 -0.134989 1.000000 1.000000 0.609947 0.004833 0.251858 -1.630397 505 0 7.7719E+00 7.138991 -0.033694 -46.319756 -1.799121 -99.000000 0.000000 0.370335 0.008965 0.018366 0.094031 10 1.6112E+09 1.975315 -0.134917 -99.000000 -99.000000 -6.827056 0.000000 0.000015 0.001998 0.019717 0.000E+00 max_dt rel_E_err 1.7897966236232559D-13 log_rel_run_E_err -10.5277340020649728 (age_target - star_age)/age_sigma 200 455.1174185344 reducing max timestep prior to age target 200 2.9582632204733295D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 446.2009950501 reducing max timestep prior to age target 201 2.9003064678253646D+09 (age_target - star_age)/age_sigma 202 437.4629000354 reducing max timestep prior to age target 202 2.8435088502303586D+09 (age_target - star_age)/age_sigma 203 428.8995669211 reducing max timestep prior to age target 203 2.7878471849872532D+09 (age_target - star_age)/age_sigma 204 420.5075004691 reducing max timestep prior to age target 204 2.7332987530490093D+09 (age_target - star_age)/age_sigma 205 412.2832753461 reducing max timestep prior to age target 205 2.6798412897495308D+09 (age_target - star_age)/age_sigma 206 404.2235347255 reducing max timestep prior to age target 206 2.6274529757160416D+09 (age_target - star_age)/age_sigma 207 396.3249889174 reducing max timestep prior to age target 207 2.5761124279632215D+09 (age_target - star_age)/age_sigma 208 388.5844140255 reducing max timestep prior to age target 208 2.5257986911654587D+09 (age_target - star_age)/age_sigma 209 380.9986506313 reducing max timestep prior to age target 209 2.4764912291036510D+09 210 7.145460 5564.879 -0.120120 -0.120120 1.000000 1.000000 0.571432 0.004867 0.248794 -1.614610 509 0 7.6841E+00 7.145460 -0.028282 -45.832864 -1.781612 -99.000000 0.000000 0.408780 0.008979 0.018169 0.096995 10 2.1413E+09 2.001915 -0.120047 -15.653560 -99.000000 -6.836677 0.000000 0.000015 0.002005 0.019788 0.000E+00 max_dt rel_E_err 1.9023751055016726D-13 log_rel_run_E_err -10.5023018979256886 (age_target - star_age)/age_sigma 210 373.5646025051 reducing max timestep prior to age target 210 2.4281699162830791D+09 (age_target - star_age)/age_sigma 211 366.2792353414 reducing max timestep prior to age target 211 2.3808150297189193D+09 (age_target - star_age)/age_sigma 212 359.1395755209 reducing max timestep prior to age target 212 2.3344072408860421D+09 (age_target - star_age)/age_sigma 213 352.1427088969 reducing max timestep prior to age target 213 2.2889276078298225D+09 (age_target - star_age)/age_sigma 214 345.2857796053 reducing max timestep prior to age target 214 2.2443575674347277D+09 (age_target - star_age)/age_sigma 215 338.5659888996 reducing max timestep prior to age target 215 2.2006789278475347D+09 (age_target - star_age)/age_sigma 216 331.9805940080 reducing max timestep prior to age target 216 2.1578738610520854D+09 (age_target - star_age)/age_sigma 217 325.5269070142 reducing max timestep prior to age target 217 2.1159248955925455D+09 (age_target - star_age)/age_sigma 218 319.2022937603 reducing max timestep prior to age target 218 2.0748149094421959D+09 (age_target - star_age)/age_sigma 219 313.0041727715 reducing max timestep prior to age target 219 2.0345271230148535D+09 220 7.151020 5575.074 -0.107679 -0.107679 1.000000 1.000000 0.539600 0.004899 0.246390 -1.600844 507 0 7.5964E+00 7.151020 -0.023651 -45.426736 -1.766105 -99.000000 0.000000 0.440556 0.008985 0.018014 0.099644 10 2.5745E+09 2.024692 -0.107607 -99.000000 -99.000000 -6.844838 0.000000 0.000016 0.002011 0.019843 0.000E+00 max_dt rel_E_err 1.7614449724332960D-13 log_rel_run_E_err -10.4781943738491901 (age_target - star_age)/age_sigma 220 306.9300142025 reducing max timestep prior to age target 220 1.9950450923160577D+09 (age_target - star_age)/age_sigma 221 300.9773388048 reducing max timestep prior to age target 221 1.9563527022312379D+09 (age_target - star_age)/age_sigma 222 295.1437169151 reducing max timestep prior to age target 222 1.9184341599481149D+09 (age_target - star_age)/age_sigma 223 289.4267674632 reducing max timestep prior to age target 223 1.8812739885106540D+09 (age_target - star_age)/age_sigma 224 283.8241570003 reducing max timestep prior to age target 224 1.8448570205019422D+09 (age_target - star_age)/age_sigma 225 278.3335987467 reducing max timestep prior to age target 225 1.8091683918534050D+09 (age_target - star_age)/age_sigma 226 272.9528516581 reducing max timestep prior to age target 226 1.7741935357778382D+09 (age_target - star_age)/age_sigma 227 267.6797195114 reducing max timestep prior to age target 227 1.7399181768237829D+09 (age_target - star_age)/age_sigma 228 262.5120500075 reducing max timestep prior to age target 228 1.7063283250488086D+09 (age_target - star_age)/age_sigma 229 257.4477338937 reducing max timestep prior to age target 229 1.6734102703093343D+09 230 7.155766 5583.371 -0.097267 -0.097267 1.000000 1.000000 0.513331 0.004930 0.244376 -1.588961 507 0 7.5087E+00 7.155766 -0.019737 -45.088037 -1.752595 -99.000000 0.000000 0.466782 0.008984 0.017884 0.101981 10 2.9283E+09 2.044076 -0.097195 -99.000000 -99.000000 -6.851744 0.000000 0.000016 0.002016 0.019887 0.000E+00 max_dt rel_E_err 1.8296226940790710D-13 log_rel_run_E_err -10.4550431599973574 (age_target - star_age)/age_sigma 230 252.4847041023 reducing max timestep prior to age target 230 1.6411505766646485D+09 (age_target - star_age)/age_sigma 231 247.6209349066 reducing max timestep prior to age target 231 1.6095360768928571D+09 (age_target - star_age)/age_sigma 232 242.8544410948 reducing max timestep prior to age target 232 1.5785538671165018D+09 (age_target - star_age)/age_sigma 233 238.1832771593 reducing max timestep prior to age target 233 1.5481913015356731D+09 (age_target - star_age)/age_sigma 235 229.0277958457 reducing max timestep prior to age target 235 1.4886806729972496D+09 (age_target - star_age)/age_sigma 236 224.5416100021 reducing max timestep prior to age target 236 1.4595204650134215D+09 (age_target - star_age)/age_sigma 237 220.1451478753 reducing max timestep prior to age target 237 1.4309434611892700D+09 (age_target - star_age)/age_sigma 238 215.8366149910 reducing max timestep prior to age target 238 1.4029379974416022D+09 (age_target - star_age)/age_sigma 239 211.6142527644 reducing max timestep prior to age target 239 1.3754926429688873D+09 240 7.159838 5590.101 -0.088491 -0.088491 1.000000 1.000000 0.491421 0.004958 0.242722 -1.578677 507 0 7.4297E+00 7.159838 -0.016397 -44.802632 -1.740828 -99.000000 0.000000 0.488657 0.008979 0.017778 0.104045 10 3.2209E+09 2.060669 -0.088421 -99.000000 -99.000000 -6.857604 0.000000 0.000017 0.002019 0.019922 0.000E+00 max_dt rel_E_err 1.9327332358548459D-13 log_rel_run_E_err -10.4333176997470805 (age_target - star_age)/age_sigma 240 207.4763377824 reducing max timestep prior to age target 240 1.3485961955856266D+09 (age_target - star_age)/age_sigma 241 203.4211811000 reducing max timestep prior to age target 241 1.3222376771500316D+09 (age_target - star_age)/age_sigma 242 199.4471275513 reducing max timestep prior to age target 242 1.2964063290831480D+09 (age_target - star_age)/age_sigma 243 195.5525550735 reducing max timestep prior to age target 243 1.2710916079776025D+09 (age_target - star_age)/age_sigma 244 191.7358740453 reducing max timestep prior to age target 244 1.2462831812941675D+09 (age_target - star_age)/age_sigma 245 187.9955266376 reducing max timestep prior to age target 245 1.2219709231444016D+09 (age_target - star_age)/age_sigma 246 184.3299861781 reducing max timestep prior to age target 246 1.1981449101576309D+09 (age_target - star_age)/age_sigma 247 180.7377565278 reducing max timestep prior to age target 247 1.1747954174305954D+09 (age_target - star_age)/age_sigma 248 177.2173714705 reducing max timestep prior to age target 248 1.1519129145581007D+09 (age_target - star_age)/age_sigma 249 173.7673941143 reducing max timestep prior to age target 249 1.1294880617430558D+09 250 7.163296 5595.512 -0.081145 -0.081145 1.000000 1.000000 0.473225 0.004985 0.241392 -1.569886 507 0 7.3420E+00 7.163296 -0.013565 -44.563438 -1.730702 -99.000000 0.000000 0.506825 0.008971 0.017692 0.105845 10 3.4620E+09 2.074729 -0.081077 -15.255620 -99.000000 -6.862532 0.000000 0.000017 0.002023 0.019950 0.000E+00 max_dt rel_E_err 1.7791435792667964D-13 log_rel_run_E_err -10.4128546913648350 (age_target - star_age)/age_sigma 250 170.3864163053 reducing max timestep prior to age target 250 1.1075117059843116D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 167.0730580524 reducing max timestep prior to age target 251 1.0859748773407426D+09 (age_target - star_age)/age_sigma 252 163.8259669646 reducing max timestep prior to age target 252 1.0648687852700453D+09 (age_target - star_age)/age_sigma 253 160.6438176986 reducing max timestep prior to age target 253 1.0441848150407615D+09 (age_target - star_age)/age_sigma 254 157.5253114179 reducing max timestep prior to age target 254 1.0239145242160635D+09 (age_target - star_age)/age_sigma 255 154.4691752627 reducing max timestep prior to age target 255 1.0040496392078595D+09 (age_target - star_age)/age_sigma 256 151.4741618307 reducing max timestep prior to age target 256 9.8458205189981937D+08 (age_target - star_age)/age_sigma 257 148.5390486674 reducing max timestep prior to age target 257 9.6550381633794069D+08 (age_target - star_age)/age_sigma 258 145.6626377673 reducing max timestep prior to age target 258 9.4680714548729897D+08 (age_target - star_age)/age_sigma 259 142.8437550852 reducing max timestep prior to age target 259 9.2848440805366993D+08 260 7.166193 5599.834 -0.075065 -0.075065 1.000000 1.000000 0.458258 0.005009 0.240324 -1.562482 508 0 7.2542E+00 7.166193 -0.011196 -44.365190 -1.722124 -99.000000 0.000000 0.521770 0.008961 0.017622 0.107387 10 3.6590E+09 2.086488 -0.074998 -15.477469 -99.000000 -6.866624 0.000000 0.000017 0.002025 0.019972 0.000E+00 max_dt rel_E_err 1.9477094512558884D-13 log_rel_run_E_err -10.3934971318901095 (age_target - star_age)/age_sigma 260 140.0812500567 reducing max timestep prior to age target 260 9.1052812536871386D+08 (age_target - star_age)/age_sigma 261 137.3739951288 reducing max timestep prior to age target 261 8.9293096833745670D+08 (age_target - star_age)/age_sigma 262 134.7208852995 reducing max timestep prior to age target 262 8.7568575444682503D+08 (age_target - star_age)/age_sigma 263 132.1208376668 reducing max timestep prior to age target 263 8.5878544483400583D+08 (age_target - star_age)/age_sigma 264 129.5727909867 reducing max timestep prior to age target 264 8.4222314141344261D+08 (age_target - star_age)/age_sigma 265 127.0757052402 reducing max timestep prior to age target 265 8.2599208406129122D+08 (age_target - star_age)/age_sigma 266 124.6285612086 reducing max timestep prior to age target 266 8.1008564785618258D+08 (age_target - star_age)/age_sigma 267 122.2303600577 reducing max timestep prior to age target 267 7.9449734037517643D+08 (age_target - star_age)/age_sigma 269 117.5298858019 reducing max timestep prior to age target 269 7.6394425771240330D+08 270 7.168620 5603.331 -0.070021 -0.070021 1.000000 1.000000 0.445912 0.005031 0.239445 -1.556249 508 0 7.1753E+00 7.168620 -0.009217 -44.200598 -1.714871 -99.000000 0.000000 0.534099 0.008950 0.017566 0.108704 10 3.8205E+09 2.096326 -0.069955 -99.000000 -99.000000 -6.870018 0.000000 0.000017 0.002027 0.019990 0.000E+00 max_dt rel_E_err 1.7995250175568200D-13 log_rel_run_E_err -10.3746926103723283 (age_target - star_age)/age_sigma 270 115.2266534166 reducing max timestep prior to age target 270 7.4897324720764446D+08 (age_target - star_age)/age_sigma 271 112.9694856789 reducing max timestep prior to age target 271 7.3430165691298151D+08 (age_target - star_age)/age_sigma 272 110.7574612960 reducing max timestep prior to age target 272 7.1992349842421103D+08 (age_target - star_age)/age_sigma 273 108.5896774008 reducing max timestep prior to age target 273 7.0583290310521650D+08 (age_target - star_age)/age_sigma 274 106.4652491835 reducing max timestep prior to age target 274 6.9202411969260168D+08 (age_target - star_age)/age_sigma 275 104.3833095305 reducing max timestep prior to age target 275 6.7849151194823933D+08 (age_target - star_age)/age_sigma 276 102.3430086706 reducing max timestep prior to age target 276 6.6522955635876369D+08 (age_target - star_age)/age_sigma 277 100.3435138279 reducing max timestep prior to age target 277 6.5223283988107777D+08 (age_target - star_age)/age_sigma 278 98.3840088820 reducing max timestep prior to age target 278 6.3949605773294592D+08 (age_target - star_age)/age_sigma 279 96.4636940350 reducing max timestep prior to age target 279 6.2701401122777653D+08 280 7.170689 5606.193 -0.065789 -0.065789 1.000000 1.000000 0.435604 0.005051 0.238678 -1.550936 507 0 7.0875E+00 7.170689 -0.007545 -44.062439 -1.708689 -99.000000 0.000000 0.544393 0.008939 0.017516 0.109835 10 3.9547E+09 2.104673 -0.065724 -99.000000 -99.000000 -6.872889 0.000000 0.000018 0.002029 0.020004 0.000E+00 max_dt rel_E_err 1.7745810865245860D-13 log_rel_run_E_err -10.3566427201968629 (age_target - star_age)/age_sigma 280 94.5817854850 reducing max timestep prior to age target 280 6.1478160565271091D+08 (age_target - star_age)/age_sigma 281 92.7375151060 reducing max timestep prior to age target 281 6.0279384818914604D+08 (age_target - star_age)/age_sigma 282 90.9301301346 reducing max timestep prior to age target 282 5.9104584587485218D+08 (age_target - star_age)/age_sigma 283 89.1588928626 reducing max timestep prior to age target 283 5.7953280360684443D+08 (age_target - star_age)/age_sigma 284 87.4230803360 reducing max timestep prior to age target 284 5.6825002218419695D+08 (age_target - star_age)/age_sigma 285 85.7219840600 reducing max timestep prior to age target 285 5.5719289639000273D+08 (age_target - star_age)/age_sigma 286 84.0549097095 reducing max timestep prior to age target 286 5.4635691311169195D+08 (age_target - star_age)/age_sigma 287 82.4211768460 reducing max timestep prior to age target 287 5.3573764949894810D+08 (age_target - star_age)/age_sigma 288 80.8201186398 reducing max timestep prior to age target 288 5.2533077115845871D+08 (age_target - star_age)/age_sigma 289 79.2510815977 reducing max timestep prior to age target 289 5.1513203038477898D+08 290 7.172520 5608.532 -0.062300 -0.062300 1.000000 1.000000 0.427132 0.005068 0.238062 -1.546398 506 0 6.9998E+00 7.172520 -0.006163 -43.947708 -1.703541 -99.000000 0.000000 0.552853 0.008928 0.017476 0.110777 5 4.0644E+09 2.111816 -0.062235 -99.000000 -99.000000 -6.875260 0.000000 0.000018 0.002030 0.020015 0.000E+00 max_dt rel_E_err 1.7907766491257449D-13 log_rel_run_E_err -10.3398139250469878 (age_target - star_age)/age_sigma 290 77.7134252964 reducing max timestep prior to age target 290 5.0513726442657280D+08 (age_target - star_age)/age_sigma 291 76.2065221212 reducing max timestep prior to age target 291 4.9534239378753090D+08 (age_target - star_age)/age_sigma 292 74.7297570094 reducing max timestep prior to age target 292 4.8574342056127024D+08 (age_target - star_age)/age_sigma 293 73.2825271999 reducing max timestep prior to age target 293 4.7633642679953384D+08 (age_target - star_age)/age_sigma 294 71.8642419866 reducing max timestep prior to age target 294 4.6711757291303253D+08 (age_target - star_age)/age_sigma 295 70.4743224776 reducing max timestep prior to age target 295 4.5808309610426140D+08 (age_target - star_age)/age_sigma 296 69.1122013587 reducing max timestep prior to age target 296 4.4922930883166599D+08 (age_target - star_age)/age_sigma 297 67.7773226622 reducing max timestep prior to age target 297 4.4055259730452204D+08 (age_target - star_age)/age_sigma 298 66.4691415397 reducing max timestep prior to age target 298 4.3204942000792122D+08 (age_target - star_age)/age_sigma 299 65.1871240396 reducing max timestep prior to age target 299 4.2371630625725222D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.173928 5610.388 -0.059437 -0.059437 1.000000 1.000000 0.420181 0.005083 0.237565 -1.542728 506 0 6.9120E+00 7.173928 -0.005020 -43.853853 -1.699250 -99.000000 0.000000 0.559795 0.008919 0.017444 0.111576 5 4.1540E+09 2.117524 -0.059374 -15.653560 -99.000000 -6.877201 0.000000 0.000018 0.002031 0.020024 0.000E+00 max_dt rel_E_err 1.8932224168310865D-13 log_rel_run_E_err -10.3233478615711878 (age_target - star_age)/age_sigma 300 63.9307468895 reducing max timestep prior to age target 300 4.1554985478159666D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.6994972824 reducing max timestep prior to age target 301 4.0754673233545399D+08 (age_target - star_age)/age_sigma 302 61.4928726674 reducing max timestep prior to age target 302 3.9970367233823442D+08 (age_target - star_age)/age_sigma 304 59.1278884221 reducing max timestep prior to age target 304 3.8433127474368382D+08 (age_target - star_age)/age_sigma 305 57.9690461419 reducing max timestep prior to age target 305 3.7679879992235422D+08 (age_target - star_age)/age_sigma 306 56.8333807073 reducing max timestep prior to age target 306 3.6941697459745073D+08 (age_target - star_age)/age_sigma 307 55.7204285814 reducing max timestep prior to age target 307 3.6218278577904558D+08 (age_target - star_age)/age_sigma 308 54.6297354980 reducing max timestep prior to age target 308 3.5509328073700857D+08 (age_target - star_age)/age_sigma 309 53.5608562763 reducing max timestep prior to age target 309 3.4814556579581261D+08 310 7.175109 5611.950 -0.057044 -0.057044 1.000000 1.000000 0.414406 0.005097 0.237157 -1.539658 509 0 6.8331E+00 7.175109 -0.004065 -43.775519 -1.695632 -99.000000 0.000000 0.565563 0.008910 0.017418 0.112251 5 4.2282E+09 2.122299 -0.056981 -15.954590 -99.000000 -6.878829 0.000000 0.000018 0.002032 0.020031 0.000E+00 max_dt rel_E_err 1.6473314723673483D-13 log_rel_run_E_err -10.3075734154118503 (age_target - star_age)/age_sigma 310 52.5133546390 reducing max timestep prior to age target 310 3.4133680515344048D+08 (age_target - star_age)/age_sigma 311 51.4868030344 reducing max timestep prior to age target 311 3.3466421972391558D+08 (age_target - star_age)/age_sigma 312 50.4807824620 reducing max timestep prior to age target 312 3.2812508600298119D+08 (age_target - star_age)/age_sigma 313 49.4948823010 reducing max timestep prior to age target 313 3.2171673495646572D+08 (age_target - star_age)/age_sigma 314 48.5287001432 reducing max timestep prior to age target 314 3.1543655093088055D+08 (age_target - star_age)/age_sigma 315 47.5818416286 reducing max timestep prior to age target 315 3.0928197058580685D+08 (age_target - star_age)/age_sigma 316 46.6539202843 reducing max timestep prior to age target 316 3.0325048184763432D+08 (age_target - star_age)/age_sigma 317 45.7445573668 reducing max timestep prior to age target 317 2.9733962288422585D+08 (age_target - star_age)/age_sigma 318 44.8533817077 reducing max timestep prior to age target 318 2.9154698110008526D+08 (age_target - star_age)/age_sigma 319 43.9800295618 reducing max timestep prior to age target 319 2.8587019215162706D+08 320 7.176086 5613.187 -0.055076 -0.055076 1.000000 1.000000 0.409644 0.005108 0.236825 -1.537099 509 0 6.7453E+00 7.176086 -0.003273 -43.710824 -1.692631 -99.000000 0.000000 0.570319 0.008902 0.017396 0.112816 5 4.2892E+09 2.126260 -0.055014 -99.000000 -99.000000 -6.880166 0.000000 0.000018 0.002033 0.020037 0.000E+00 max_dt rel_E_err 1.8510635907860002D-13 log_rel_run_E_err -10.2923344066559785 (age_target - star_age)/age_sigma 320 43.1241444588 reducing max timestep prior to age target 320 2.8030693898213863D+08 (age_target - star_age)/age_sigma 321 42.2853770579 reducing max timestep prior to age target 321 2.7485495087603998D+08 (age_target - star_age)/age_sigma 322 41.4633850049 reducing max timestep prior to age target 322 2.6951200253206253D+08 (age_target - star_age)/age_sigma 323 40.6578327931 reducing max timestep prior to age target 323 2.6427591315496540D+08 (age_target - star_age)/age_sigma 324 39.8683916254 reducing max timestep prior to age target 324 2.5914454556541061D+08 (age_target - star_age)/age_sigma 325 39.0947392812 reducing max timestep prior to age target 325 2.5411580532764626D+08 (age_target - star_age)/age_sigma 326 38.3365599838 reducing max timestep prior to age target 326 2.4918763989463711D+08 (age_target - star_age)/age_sigma 327 37.5935442724 reducing max timestep prior to age target 327 2.4435803777028847D+08 (age_target - star_age)/age_sigma 328 36.8653888751 reducing max timestep prior to age target 328 2.3962502768842697D+08 (age_target - star_age)/age_sigma 329 36.1517965859 reducing max timestep prior to age target 329 2.3498667780820274D+08 330 7.176891 5614.191 -0.053463 -0.053463 1.000000 1.000000 0.405746 0.005117 0.236547 -1.534989 509 0 6.6576E+00 7.176891 -0.002622 -43.657731 -1.690153 -99.000000 0.000000 0.574213 0.008895 0.017378 0.113284 5 4.3391E+09 2.129518 -0.053401 -15.352530 -99.000000 -6.881261 0.000000 0.000018 0.002034 0.020042 0.000E+00 max_dt rel_E_err 1.8548974475108547D-13 log_rel_run_E_err -10.2771293329492970 (age_target - star_age)/age_sigma 330 35.4524761424 reducing max timestep prior to age target 330 2.3044109492558193D+08 (age_target - star_age)/age_sigma 331 34.7671421078 reducing max timestep prior to age target 331 2.2598642370061493D+08 (age_target - star_age)/age_sigma 332 34.0955147539 reducing max timestep prior to age target 332 2.2162084590014648D+08 (age_target - star_age)/age_sigma 333 33.4373199470 reducing max timestep prior to age target 333 2.1734257965568733D+08 (age_target - star_age)/age_sigma 334 32.7922890363 reducing max timestep prior to age target 334 2.1314987873611736D+08 (age_target - star_age)/age_sigma 335 32.1601587438 reducing max timestep prior to age target 335 2.0904103183493900D+08 (age_target - star_age)/age_sigma 336 31.5406710572 reducing max timestep prior to age target 336 2.0501436187178421D+08 (age_target - star_age)/age_sigma 337 30.9335731243 reducing max timestep prior to age target 337 2.0106822530789280D+08 (age_target - star_age)/age_sigma 338 30.3386171500 reducing max timestep prior to age target 338 1.9720101147527885D+08 340 7.177553 5615.010 -0.052136 -0.052136 1.000000 1.000000 0.402549 0.005125 0.236314 -1.533251 510 0 6.5786E+00 7.177553 -0.002085 -43.614086 -1.688106 -99.000000 0.000000 0.577406 0.008890 0.017363 0.113672 5 4.3799E+09 2.132201 -0.052074 -15.477469 -99.000000 -6.882164 0.000000 0.000018 0.002034 0.020046 0.000E+00 max_dt rel_E_err 1.7578139880185871D-13 log_rel_run_E_err -10.2624434204164565 (age_target - star_age)/age_sigma 340 29.1725034405 reducing max timestep prior to age target 340 1.8962127236335564D+08 (age_target - star_age)/age_sigma 341 28.6011077228 reducing max timestep prior to age target 341 1.8590720019851303D+08 (age_target - star_age)/age_sigma 342 28.0411399195 reducing max timestep prior to age target 342 1.8226740947696781D+08 (age_target - star_age)/age_sigma 343 27.4923714723 reducing max timestep prior to age target 343 1.7870041456985283D+08 (age_target - star_age)/age_sigma 344 26.9545783940 reducing max timestep prior to age target 344 1.7520475956088066D+08 (age_target - star_age)/age_sigma 345 26.4275411772 reducing max timestep prior to age target 345 1.7177901765208721D+08 (age_target - star_age)/age_sigma 346 25.9110447048 reducing max timestep prior to age target 346 1.6842179058147049D+08 (age_target - star_age)/age_sigma 347 25.4048781619 reducing max timestep prior to age target 347 1.6513170805226612D+08 (age_target - star_age)/age_sigma 348 24.9088349498 reducing max timestep prior to age target 348 1.6190742717364597D+08 (age_target - star_age)/age_sigma 349 24.4227126019 reducing max timestep prior to age target 349 1.5874763191259766D+08 350 7.178107 5615.685 -0.051031 -0.051031 1.000000 1.000000 0.399884 0.005132 0.236121 -1.531796 510 0 6.4909E+00 7.178107 -0.001637 -43.577661 -1.686393 -99.000000 0.000000 0.580067 0.008885 0.017351 0.113997 5 4.4138E+09 2.134444 -0.050970 -99.000000 -99.000000 -6.882916 0.000000 0.000019 0.002035 0.020049 0.000E+00 max_dt rel_E_err 1.9057653822884566D-13 log_rel_run_E_err -10.2481784247476302 (age_target - star_age)/age_sigma 350 23.9463127010 reducing max timestep prior to age target 350 1.5565103255677032D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.4794407982 reducing max timestep prior to age target 351 1.5261636518805981D+08 (age_target - star_age)/age_sigma 352 23.0219063333 reducing max timestep prior to age target 352 1.4964239116672325D+08 (age_target - star_age)/age_sigma 353 22.5735225578 reducing max timestep prior to age target 353 1.4672789662581348D+08 (age_target - star_age)/age_sigma 354 22.1341064578 reducing max timestep prior to age target 354 1.4387169197572231D+08 (age_target - star_age)/age_sigma 355 21.7034786798 reducing max timestep prior to age target 355 1.4107261141863251D+08 (age_target - star_age)/age_sigma 356 21.2814634573 reducing max timestep prior to age target 356 1.3832951247268486D+08 (age_target - star_age)/age_sigma 357 20.8678885393 reducing max timestep prior to age target 357 1.3564127550565529D+08 (age_target - star_age)/age_sigma 358 20.4625851197 reducing max timestep prior to age target 358 1.3300680327796745D+08 (age_target - star_age)/age_sigma 359 20.0653877684 reducing max timestep prior to age target 359 1.3042502049483299D+08 360 7.178562 5616.233 -0.050126 -0.050126 1.000000 1.000000 0.397704 0.005138 0.235965 -1.530602 510 0 6.4031E+00 7.178562 -0.001270 -43.547820 -1.684985 -99.000000 0.000000 0.582245 0.008880 0.017340 0.114266 5 4.4416E+09 2.136283 -0.050066 -99.000000 -99.000000 -6.883531 0.000000 0.000019 0.002035 0.020051 0.000E+00 max_dt rel_E_err 1.8066819565253643D-13 log_rel_run_E_err -10.2346382153066067 (age_target - star_age)/age_sigma 360 19.6761343642 reducing max timestep prior to age target 360 1.2789487336736107D+08 (age_target - star_age)/age_sigma 361 19.2946660281 reducing max timestep prior to age target 361 1.2541532918243790D+08 (age_target - star_age)/age_sigma 362 18.9208270586 reducing max timestep prior to age target 362 1.2298537588121414D+08 (age_target - star_age)/age_sigma 363 18.5544648686 reducing max timestep prior to age target 363 1.2060402164601421D+08 (age_target - star_age)/age_sigma 364 18.1954299224 reducing max timestep prior to age target 364 1.1827029449551868D+08 (age_target - star_age)/age_sigma 365 17.8435756751 reducing max timestep prior to age target 365 1.1598324188803387D+08 (age_target - star_age)/age_sigma 366 17.4987585127 reducing max timestep prior to age target 366 1.1374193033269787D+08 (age_target - star_age)/age_sigma 367 17.1608376936 reducing max timestep prior to age target 367 1.1154544500846863D+08 (age_target - star_age)/age_sigma 368 16.8296752909 reducing max timestep prior to age target 368 1.0939288939072418D+08 (age_target - star_age)/age_sigma 369 16.5051361362 reducing max timestep prior to age target 369 1.0728338488533401D+08 370 7.178935 5616.680 -0.049386 -0.049386 1.000000 1.000000 0.395922 0.005143 0.235838 -1.529624 510 0 6.3154E+00 7.178935 -0.000969 -43.523384 -1.683829 -99.000000 0.000000 0.584025 0.008877 0.017332 0.114486 5 4.4643E+09 2.137790 -0.049326 -99.000000 -99.000000 -6.884034 0.000000 0.000019 0.002035 0.020053 0.000E+00 max_dt rel_E_err 1.7656660044080581D-13 log_rel_run_E_err -10.2213802760758519 (age_target - star_age)/age_sigma 370 16.1870877646 reducing max timestep prior to age target 370 1.0521607047005272D+08 (age_target - star_age)/age_sigma 371 15.8754003605 reducing max timestep prior to age target 371 1.0319010234307575D+08 (age_target - star_age)/age_sigma 372 15.5699467044 reducing max timestep prior to age target 372 1.0120465357863903D+08 (age_target - star_age)/age_sigma 374 14.9712575385 reducing max timestep prior to age target 374 9.7313174000343323D+07 (age_target - star_age)/age_sigma 375 14.6778998472 reducing max timestep prior to age target 375 9.5406349006978035D+07 (age_target - star_age)/age_sigma 376 14.3904093098 reducing max timestep prior to age target 376 9.3537660513480186D+07 (age_target - star_age)/age_sigma 377 14.1086685831 reducing max timestep prior to age target 377 9.1706345789853096D+07 (age_target - star_age)/age_sigma 378 13.8325626709 reducing max timestep prior to age target 378 8.9911657360697746D+07 (age_target - star_age)/age_sigma 379 13.5619788769 reducing max timestep prior to age target 379 8.8152862700125694D+07 380 7.179244 5617.049 -0.048772 -0.048772 1.000000 1.000000 0.394444 0.005147 0.235733 -1.528812 510 0 6.2364E+00 7.179244 -0.000719 -43.503105 -1.682869 -99.000000 0.000000 0.585502 0.008874 0.017325 0.114669 5 4.4831E+09 2.139042 -0.048712 -99.000000 -99.000000 -6.884452 0.000000 0.000019 0.002036 0.020055 0.000E+00 max_dt rel_E_err 1.7375798933097871D-13 log_rel_run_E_err -10.2084657569881436 (age_target - star_age)/age_sigma 380 13.2968067589 reducing max timestep prior to age target 380 8.6429243932765007D+07 (age_target - star_age)/age_sigma 381 13.0369380832 reducing max timestep prior to age target 381 8.4740097540751457D+07 (age_target - star_age)/age_sigma 382 12.7822667810 reducing max timestep prior to age target 382 8.3084734076578140D+07 (age_target - star_age)/age_sigma 383 12.5326889049 reducing max timestep prior to age target 383 8.1462477881688118D+07 (age_target - star_age)/age_sigma 384 12.2881025863 reducing max timestep prior to age target 384 7.9872666810696602D+07 (age_target - star_age)/age_sigma 385 12.0484079940 reducing max timestep prior to age target 385 7.8314651961124420D+07 (age_target - star_age)/age_sigma 386 11.8135072936 reducing max timestep prior to age target 386 7.6787797408542633D+07 (age_target - star_age)/age_sigma 387 11.5833046072 reducing max timestep prior to age target 387 7.5291479947013855D+07 (age_target - star_age)/age_sigma 388 11.3577059746 reducing max timestep prior to age target 388 7.3825088834715843D+07 (age_target - star_age)/age_sigma 389 11.1366193146 reducing max timestep prior to age target 389 7.2388025544663429D+07 390 7.179499 5617.352 -0.048267 -0.048267 1.000000 1.000000 0.393227 0.005150 0.235647 -1.528142 510 0 6.1487E+00 7.179499 -0.000514 -43.486404 -1.682076 -99.000000 0.000000 0.586717 0.008871 0.017320 0.114821 5 4.4985E+09 2.140073 -0.048207 -15.653560 -99.000000 -6.884795 0.000000 0.000019 0.002036 0.020056 0.000E+00 max_dt rel_E_err 1.7524805114735532D-13 log_rel_run_E_err -10.1961931966640353 (age_target - star_age)/age_sigma 390 10.9199543878 reducing max timestep prior to age target 390 7.0979703520411491D+07 (age_target - star_age)/age_sigma 391 10.7076227595 reducing max timestep prior to age target 391 6.9599547936645508D+07 (age_target - star_age)/age_sigma 392 10.4995377638 reducing max timestep prior to age target 392 6.8246995464553833D+07 (age_target - star_age)/age_sigma 393 10.2956144680 reducing max timestep prior to age target 393 6.6921494041904449D+07 (age_target - star_age)/age_sigma 394 10.0957696381 reducing max timestep prior to age target 394 6.5622502647708893D+07 (age_target - star_age)/age_sigma 395 9.8999217048 reducing max timestep prior to age target 395 6.4349491081396103D+07 (age_target - star_age)/age_sigma 396 9.7079907302 reducing max timestep prior to age target 396 6.3101939746410370D+07 (age_target - star_age)/age_sigma 397 9.5198983751 reducing max timestep prior to age target 397 6.1879339438123703D+07 (age_target - star_age)/age_sigma 398 9.3355678671 reducing max timestep prior to age target 398 6.0681191136002541D+07 (age_target - star_age)/age_sigma 399 9.1549239692 reducing max timestep prior to age target 399 5.9507005799924850D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.179708 5617.598 -0.047854 -0.047854 1.000000 1.000000 0.392233 0.005153 0.235577 -1.527594 510 0 6.0610E+00 7.179708 -0.000345 -43.472742 -1.681426 -99.000000 0.000000 0.587710 0.008869 0.017315 0.114945 5 4.5111E+09 2.140916 -0.047794 -15.653560 -99.000000 -6.885076 0.000000 0.000019 0.002036 0.020057 0.000E+00 max_dt rel_E_err 1.8339766721618555D-13 log_rel_run_E_err -10.1840384145478939 (age_target - star_age)/age_sigma 400 8.9778929493 reducing max timestep prior to age target 400 5.8356304170567513D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.8044025498 reducing max timestep prior to age target 401 5.7228616573798180D+07 (age_target - star_age)/age_sigma 402 8.6343819583 reducing max timestep prior to age target 402 5.6123482728963852D+07 (age_target - star_age)/age_sigma 403 8.4677617786 reducing max timestep prior to age target 403 5.5040451561026573D+07 (age_target - star_age)/age_sigma 404 8.3044740025 reducing max timestep prior to age target 404 5.3979081016447067D+07 (age_target - star_age)/age_sigma 405 8.1444519820 reducing max timestep prior to age target 405 5.2938937882760048D+07 (age_target - star_age)/age_sigma 406 7.9876304018 reducing max timestep prior to age target 406 5.1919597611746788D+07 (age_target - star_age)/age_sigma 407 7.8339452533 reducing max timestep prior to age target 407 5.0920644146153450D+07 (age_target - star_age)/age_sigma 409 7.5327223621 reducing max timestep prior to age target 409 4.8962695353590965D+07 410 7.179880 5617.800 -0.047515 -0.047515 1.000000 1.000000 0.391417 0.005155 0.235519 -1.527144 510 0 5.9820E+00 7.179880 -0.000207 -43.461526 -1.680893 -99.000000 0.000000 0.588525 0.008867 0.017311 0.115048 3 4.5215E+09 2.141609 -0.047455 -99.000000 -99.000000 -6.885307 0.000000 0.000019 0.002036 0.020058 0.000E+00 max_dt rel_E_err 1.7973770672749058D-13 log_rel_run_E_err -10.1723151235520053 (age_target - star_age)/age_sigma 410 7.3851231454 reducing max timestep prior to age target 410 4.8003300445236206D+07 (age_target - star_age)/age_sigma 411 7.2404759131 reducing max timestep prior to age target 411 4.7063093435047150D+07 (age_target - star_age)/age_sigma 412 7.0987216254 reducing max timestep prior to age target 412 4.6141690565062523D+07 (age_target - star_age)/age_sigma 413 6.9598024235 reducing max timestep prior to age target 413 4.5238715752477646D+07 (age_target - star_age)/age_sigma 414 6.8236616056 reducing max timestep prior to age target 414 4.4353800436144829D+07 (age_target - star_age)/age_sigma 415 6.6902436040 reducing max timestep prior to age target 415 4.3486583426137924D+07 (age_target - star_age)/age_sigma 416 6.5594939625 reducing max timestep prior to age target 416 4.2636710756331444D+07 (age_target - star_age)/age_sigma 417 6.4313593138 reducing max timestep prior to age target 417 4.1803835539920807D+07 (age_target - star_age)/age_sigma 418 6.3057873581 reducing max timestep prior to age target 418 4.0987617827838898D+07 (age_target - star_age)/age_sigma 419 6.1827268415 reducing max timestep prior to age target 419 4.0187724469998360D+07 420 7.180023 5617.968 -0.047233 -0.047233 1.000000 1.000000 0.390739 0.005157 0.235472 -1.526770 510 0 5.8943E+00 7.180023 -0.000092 -43.452204 -1.680449 -99.000000 0.000000 0.589202 0.008866 0.017308 0.115133 3 4.5301E+09 2.142186 -0.047173 -99.000000 -99.000000 -6.885498 0.000000 0.000019 0.002036 0.020059 0.000E+00 max_dt rel_E_err 1.7522072606907407D-13 log_rel_run_E_err -10.1608676497209025 (age_target - star_age)/age_sigma 420 6.0621275353 reducing max timestep prior to age target 420 3.9403828979314804D+07 (age_target - star_age)/age_sigma 421 5.9439402151 reducing max timestep prior to age target 421 3.8635611398444176D+07 (age_target - star_age)/age_sigma 422 5.8281166414 reducing max timestep prior to age target 422 3.7882758169191360D+07 (age_target - star_age)/age_sigma 423 5.7146095392 reducing max timestep prior to age target 423 3.7144962004524231D+07 (age_target - star_age)/age_sigma 424 5.6033725789 reducing max timestep prior to age target 424 3.6421921763149261D+07 (age_target - star_age)/age_sigma 425 5.4943603579 reducing max timestep prior to age target 425 3.5713342326602936D+07 (age_target - star_age)/age_sigma 426 5.3875283814 reducing max timestep prior to age target 426 3.5018934478786469D+07 (age_target - star_age)/age_sigma 427 5.2828330443 reducing max timestep prior to age target 427 3.4338414787926674D+07 (age_target - star_age)/age_sigma 428 5.1802316140 reducing max timestep prior to age target 428 3.3671505490884781D+07 (age_target - star_age)/age_sigma 429 5.0796822123 reducing max timestep prior to age target 429 3.3017934379782677D+07 430 7.180139 5618.105 -0.047002 -0.047002 1.000000 1.000000 0.390184 0.005158 0.235433 -1.526463 510 0 5.8112E+00 7.180139 0.000002 -43.444575 -1.680085 -99.000000 0.000000 0.589756 0.008865 0.017306 0.115202 3 4.5371E+09 2.142658 -0.046942 -15.653560 -99.000000 -6.885655 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt rel_E_err 1.8466250096468283D-13 log_rel_run_E_err -10.1496064562843546 (age_target - star_age)/age_sigma 430 4.9800806003 reducing max timestep prior to age target 430 3.2370523901747704D+07 (age_target - star_age)/age_sigma 431 4.8804789883 remaining steps and years until age target 431 49 3.1723113423713684D+07 (age_target - star_age)/age_sigma 432 4.7808773763 remaining steps and years until age target 432 48 3.1075702945678711D+07 (age_target - star_age)/age_sigma 433 4.6812757643 remaining steps and years until age target 433 47 3.0428292467643738D+07 (age_target - star_age)/age_sigma 434 4.5816741522 remaining steps and years until age target 434 46 2.9780881989608765D+07 (age_target - star_age)/age_sigma 435 4.4820725402 remaining steps and years until age target 435 45 2.9133471511573792D+07 (age_target - star_age)/age_sigma 436 4.3824709282 remaining steps and years until age target 436 44 2.8486061033538818D+07 (age_target - star_age)/age_sigma 437 4.2828693162 remaining steps and years until age target 437 43 2.7838650555504799D+07 (age_target - star_age)/age_sigma 438 4.1832677042 remaining steps and years until age target 438 42 2.7191240077469826D+07 (age_target - star_age)/age_sigma 439 4.0836660922 remaining steps and years until age target 439 41 2.6543829599434853D+07 440 7.180247 5618.231 -0.046790 -0.046790 1.000000 1.000000 0.389674 0.005160 0.235397 -1.526180 510 0 5.8112E+00 7.180247 0.000089 -43.437548 -1.679750 -99.000000 0.000000 0.590266 0.008864 0.017303 0.115267 3 4.5436E+09 2.143092 -0.046730 -99.000000 -99.000000 -6.885799 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt rel_E_err 1.7563849739977051D-13 log_rel_run_E_err -10.1387244124996343 (age_target - star_age)/age_sigma 440 3.9840644802 remaining steps and years until age target 440 40 2.5896419121399879D+07 (age_target - star_age)/age_sigma 441 3.8844628682 remaining steps and years until age target 441 39 2.5249008643364906D+07 (age_target - star_age)/age_sigma 442 3.7848612562 remaining steps and years until age target 442 38 2.4601598165329933D+07 (age_target - star_age)/age_sigma 443 3.6852596442 remaining steps and years until age target 443 37 2.3954187687294960D+07 (age_target - star_age)/age_sigma 444 3.5856580322 remaining steps and years until age target 444 36 2.3306777209260941D+07 (age_target - star_age)/age_sigma 445 3.4860564202 remaining steps and years until age target 445 35 2.2659366731225967D+07 (age_target - star_age)/age_sigma 446 3.3864548082 remaining steps and years until age target 446 34 2.2011956253190994D+07 (age_target - star_age)/age_sigma 447 3.2868531962 remaining steps and years until age target 447 33 2.1364545775156021D+07 (age_target - star_age)/age_sigma 448 3.1872515842 remaining steps and years until age target 448 32 2.0717135297121048D+07 (age_target - star_age)/age_sigma 449 3.0876499722 remaining steps and years until age target 449 31 2.0069724819086075D+07 450 7.180355 5618.358 -0.046577 -0.046577 1.000000 1.000000 0.389163 0.005161 0.235361 -1.525898 510 0 5.8112E+00 7.180355 0.000176 -43.430516 -1.679414 -99.000000 0.000000 0.590777 0.008863 0.017301 0.115331 3 4.5501E+09 2.143527 -0.046518 -15.653560 -99.000000 -6.885942 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt rel_E_err 1.9001847910794953D-13 log_rel_run_E_err -10.1279074546065608 (age_target - star_age)/age_sigma 450 2.9880483602 remaining steps and years until age target 450 30 1.9422314341051102D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8884467482 remaining steps and years until age target 451 29 1.8774903863017082D+07 (age_target - star_age)/age_sigma 452 2.7888451362 remaining steps and years until age target 452 28 1.8127493384982109D+07 (age_target - star_age)/age_sigma 453 2.6892435241 remaining steps and years until age target 453 27 1.7480082906947136D+07 (age_target - star_age)/age_sigma 454 2.5896419121 remaining steps and years until age target 454 26 1.6832672428912163D+07 (age_target - star_age)/age_sigma 455 2.4900403001 remaining steps and years until age target 455 25 1.6185261950877190D+07 (age_target - star_age)/age_sigma 456 2.3904386881 remaining steps and years until age target 456 24 1.5537851472842216D+07 (age_target - star_age)/age_sigma 457 2.2908370761 reducing max timestep prior to age target 457 1.4890440994806290D+07 (age_target - star_age)/age_sigma 458 2.1912354641 remaining steps and years until age target 458 22 1.4243030516772270D+07 (age_target - star_age)/age_sigma 459 2.0916338521 reducing max timestep prior to age target 459 1.3595620038736343D+07 460 7.180463 5618.484 -0.046365 -0.046365 1.000000 1.000000 0.388652 0.005163 0.235326 -1.525615 510 0 5.8112E+00 7.180463 0.000262 -43.423481 -1.679078 -99.000000 0.000000 0.591287 0.008861 0.017299 0.115396 3 4.5566E+09 2.143962 -0.046305 -99.000000 -99.000000 -6.886086 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt rel_E_err 1.7390967922124943D-13 log_rel_run_E_err -10.1174493403603663 (age_target - star_age)/age_sigma 460 1.9920322401 remaining steps and years until age target 460 20 1.2948209560701370D+07 (age_target - star_age)/age_sigma 461 1.8924306281 remaining steps and years until age target 461 19 1.2300799082666397D+07 (age_target - star_age)/age_sigma 462 1.7928290161 remaining steps and years until age target 462 18 1.1653388604632378D+07 (age_target - star_age)/age_sigma 463 1.6932274041 reducing max timestep prior to age target 463 1.1005978126596451D+07 (age_target - star_age)/age_sigma 464 1.5936257921 remaining steps and years until age target 464 16 1.0358567648561478D+07 (age_target - star_age)/age_sigma 465 1.4940241801 reducing max timestep prior to age target 465 9.7111571705255508D+06 (age_target - star_age)/age_sigma 466 1.3944225681 remaining steps and years until age target 466 14 9.0637466924915314D+06 (age_target - star_age)/age_sigma 467 1.2948209561 reducing max timestep prior to age target 467 8.4163362144556046D+06 (age_target - star_age)/age_sigma 468 1.1952193441 remaining steps and years until age target 468 12 7.7689257364206314D+06 (age_target - star_age)/age_sigma 469 1.0956177321 remaining steps and years until age target 469 11 7.1215152583866119D+06 470 7.180570 5618.611 -0.046152 -0.046152 1.000000 1.000000 0.388141 0.005164 0.235290 -1.525331 510 0 5.8112E+00 7.180570 0.000349 -43.416442 -1.678742 -99.000000 0.000000 0.591798 0.008860 0.017296 0.115460 3 4.5630E+09 2.144398 -0.046092 -99.000000 -99.000000 -6.886230 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.8657123671267818D-13 log_rel_run_E_err -10.1072867260456487 (age_target - star_age)/age_sigma 470 0.9960161201 reducing max timestep prior to age target 470 6.4741047803506851D+06 (age_target - star_age)/age_sigma 471 0.8964145080 remaining steps and years until age target 471 9 5.8266943023157120D+06 (age_target - star_age)/age_sigma 472 0.7968128960 remaining steps and years until age target 472 8 5.1792838242807388D+06 (age_target - star_age)/age_sigma 473 0.6972112840 remaining steps and years until age target 473 7 4.5318733462457657D+06 (age_target - star_age)/age_sigma 474 0.5976096720 remaining steps and years until age target 474 6 3.8844628682107925D+06 (age_target - star_age)/age_sigma 475 0.4980080600 reducing max timestep prior to age target 475 3.2370523901748657D+06 (age_target - star_age)/age_sigma 476 0.3984064480 remaining steps and years until age target 476 4 2.5896419121398926D+06 (age_target - star_age)/age_sigma 477 0.2988048360 remaining steps and years until age target 477 3 1.9422314341058731D+06 (age_target - star_age)/age_sigma 478 0.1992032240 remaining steps and years until age target 478 2 1.2948209560709000D+06 (age_target - star_age)/age_sigma 479 0.0996016120 model saved to final.mod save photos/x479 for model 479 480 7.180678 5618.737 -0.045939 -0.045939 1.000000 1.000000 0.387629 0.005165 0.235254 -1.525048 510 0 5.8112E+00 7.180678 0.000436 -43.409398 -1.678405 -99.000000 0.000000 0.592308 0.008859 0.017294 0.115525 3 4.5695E+09 2.144834 -0.045880 -15.352530 -99.000000 -6.886374 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.7969523511813237D-13 log_rel_run_E_err -10.0973944423867259 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333338.76 0.00 333338.76 save outputs/best.mod 480 save outputs/best.profile for model 480 save LOGS/profile11.data for model 480 have reached age_target save LOGS/profile11.data for model 480 solver retries 5 varcontrol dt limit 202 max increase dt limit 2677 lgTeff dt limit 1 lgRho_cntr dt limit 92 model saved to final.mod save photos/x480 for model 480 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333338.76 0.00 333338.76 have reached age_target runtime (minutes), retries, steps 3.09 0 480 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 480 7.180678 5618.737 -0.045939 -0.045939 1.000000 1.000000 0.387629 0.005165 0.235254 -1.525048 510 0 5.8112E+00 7.180678 0.000436 -43.409398 -1.678405 -99.000000 0.000000 0.592308 0.008859 0.017294 0.115525 3 4.5695E+09 2.144834 -0.045880 -15.352530 -99.000000 -6.886374 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.7969523511813237D-13 log_rel_run_E_err -10.0973944423867259 Teff 5618.7368615172 radius 1.0010042019 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1.0084215513 M_H 0.0039078812 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 15.2715351741 log_R 0.0004359005 delta_nu 141.3127210040 nu_max 3113.4409186002 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2610000000 initial_FeH 0.0600000000 alpha 2.0000000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 333338.7599855752 model number 480 save best model results to outputs/sample_0005.data current set of sample results 1 2 3 4 5 6 7 8 samples version_number compiler build MESA_SDK_version math_backend date search_type 5 "7067e26" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251202" "newuoa" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first 5 3.3333875998557516E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615172099E+03 1.0010042019474874E+00 3.9078811617172336E-03 4.3590053503975688E-04 1.4131272100397655E+02 3.1134409186002090E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557516E+05 0 0 0 0 0 0 0 4 3.3337679267851776E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620732275E+03 1.0114129282002264E+00 3.5086386214787716E-04 4.9285006215553989E-03 1.3913658568066575E+02 3.0234851123016156E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851776E+05 0 0 0 0 0 0 0 1 3.3351283960191364E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763963E+03 1.0231407131234020E+00 -1.7395981953360481E-03 9.9353665865702778E-03 1.3680762272705823E+02 2.9640776267831352E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191364E+05 0 0 0 0 0 0 0 3 3.3365606602481316E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367450E+03 1.0099970103007068E+00 2.9466215560994696E-02 4.3200882263779048E-03 1.3947582155333197E+02 3.0536692076808167E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602481316E+05 0 0 0 0 0 0 0 2 3.3468070564326138E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271320E+03 1.0622782375814146E+00 -1.2788199777018321E-02 2.6238284372326726E-02 1.2938435093834121E+02 2.7294282123454341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326138E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 3.3000000000000002D-02 -4.5000000000000001D-01 next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.726 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953960 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571845 -99.000000 -99.000000 -7.767405 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.871 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515110 -99.000000 -99.000000 -7.738508 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.701 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488594 -99.000000 -99.000000 -7.719977 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.152 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 3.9000E-04 -1.867438 1.472452 -99.000000 -99.000000 -7.707416 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.527 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 4.9000E-04 -1.867438 1.461235 -99.000000 -99.000000 -7.698204 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562815646042354D-01 20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0 7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246319721660051D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -20.896008 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692957329111614D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1237564951901089D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.620908 4342.789 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 0 -4.2874E+00 6.620908 0.263043 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 2.5959E-04 0.154703 0.031855 -99.000000 -99.000000 -6.892801 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5988719380542137D-13 log_rel_run_E_err -11.5780467503561493 solver rejected trial model s% model_number 12 s% solver_call_number 129 nz 457 s% num_retries 0 dt 2.3447560958823619D+03 log dt/secyer -4.1290062934761265D+00 retry: max residual jumped -- give up in solver 12 20 6.620908 4356.555 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1 -3.8758E+00 6.620908 0.263059 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 3 9.7160E-04 0.154704 0.037384 -19.992918 -99.000000 -6.898682 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6585304040726410D-13 log_rel_run_E_err -11.2770627239868944 30 6.620909 4361.398 -4.908929 -4.908929 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1 -3.0840E+00 6.620909 0.263069 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 5 5.1182E-03 0.154704 0.039335 -99.000000 -99.000000 -6.900725 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5503994323218242D-13 log_rel_run_E_err -11.1010378738215731 40 6.620909 4361.279 -4.908929 -4.908929 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1 -2.2921E+00 6.620909 0.263072 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 4 3.0793E-02 0.154704 0.039294 -99.000000 -99.000000 -6.900679 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5354848058730817D-13 log_rel_run_E_err -10.9783297161425590 50 6.620909 4360.365 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1 -1.5003E+00 6.620909 0.263067 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 4 1.8977E-01 0.154704 0.038918 -20.293948 -99.000000 -6.900290 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6361584036483692D-13 log_rel_run_E_err -10.8787642965931859 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.620909 4359.635 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027572 457 1 -7.0852E-01 6.620909 0.263061 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 5 1.1741E+00 0.154704 0.038615 -99.000000 -99.000000 -6.899978 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5187054253844104D-13 log_rel_run_E_err -10.7976032966801583 70 6.620909 4359.627 -4.908925 -4.908925 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027571 457 1 8.3295E-02 6.620909 0.263060 -99.000000 -6.306673 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 7.2687E+00 0.154705 0.038610 -20.771070 -99.000000 -6.899973 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6193766475273830D-13 log_rel_run_E_err -10.7299172319897860 80 6.620910 4359.596 -4.908904 -4.908904 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027560 457 1 8.7511E-01 6.620910 0.263054 -99.000000 -6.306652 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 4.5005E+01 0.154712 0.038587 -20.470040 -99.000000 -6.899954 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7461350283469407D-13 log_rel_run_E_err -10.6718565893398623 90 6.620922 4359.559 -4.908762 -4.908762 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027493 457 1 1.6669E+00 6.620922 0.263037 -99.000000 -6.306511 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071839 10 2.7866E+02 0.154758 0.038538 -20.293948 -99.000000 -6.899918 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 4.2765855382629491D-13 log_rel_run_E_err -10.5775628269364823 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.620999 4359.468 -4.907882 -4.907882 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027077 457 1 2.4587E+00 6.620999 0.262944 -99.000000 -6.305631 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071842 2 1.7254E+03 0.155054 0.038316 -99.000000 -99.000000 -6.899769 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6112390232639855D-13 log_rel_run_E_err -10.5360801143388105 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.621478 4358.901 -4.902453 -4.902453 1.000000 1.000000 0.712376 0.000890 0.270000 -4.024505 457 1 3.2505E+00 6.621478 0.262374 -99.000000 -6.300201 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071864 2 1.0683E+04 0.156883 0.036950 -99.000000 -99.000000 -6.898850 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6449313238765315D-13 log_rel_run_E_err -10.4985189788285052 120 6.624383 4355.426 -4.869457 -4.869457 1.000000 1.000000 0.712376 0.000890 0.270000 -4.008751 457 1 4.0424E+00 6.624383 0.258903 -99.000000 -6.267202 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071999 2 6.6147E+04 0.168041 0.028623 -20.771070 -99.000000 -6.893241 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 1.6245106486430296D-14 log_rel_run_E_err -10.4718290606315101 130 6.640351 4335.169 -4.685960 -4.685960 1.000000 1.000000 0.712375 0.000890 0.270000 -3.916606 457 1 4.8342E+00 6.640351 0.239476 -99.000000 -6.083690 -99.000000 0.000000 0.270000 0.008266 0.017624 0.072878 3 4.0956E+05 0.231758 -0.018330 -99.000000 -99.000000 -6.861216 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7230449077954805D-13 log_rel_run_E_err -10.4184358396478931 140 6.701163 4260.010 -3.970238 -3.970238 1.000000 1.000000 0.712374 0.000890 0.270000 -3.477253 460 1 5.6260E+00 6.701163 0.163362 -99.000000 -5.367875 -99.000000 0.000000 0.270001 0.008266 0.017624 0.078570 4 2.5359E+06 0.512179 -0.200940 -99.000000 -99.000000 -6.733749 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 4.6307190739879649D-12 log_rel_run_E_err -10.3504328329332367 150 6.806573 4347.077 -2.828025 -2.828025 1.000000 1.000000 0.712368 0.000890 0.269997 -2.614110 470 1 5.9018E+00 6.806573 0.066775 -99.000000 -4.225254 -99.000000 0.000000 0.270007 0.008266 0.017624 0.092357 4 9.5409E+06 1.039036 -0.358968 -18.663860 -99.000000 -6.658262 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr rel_E_err 2.2957423759221673D-13 log_rel_run_E_err -10.4587575586242796 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 6.953254 4996.719 -1.535261 -1.535261 1.000000 1.000000 0.712325 0.000890 0.269986 -1.793444 486 1 5.9977E+00 6.953254 0.023246 -99.000000 -2.931449 -99.000000 0.000000 0.270050 0.008267 0.017624 0.101550 4 1.9938E+07 1.602668 -0.204075 -16.982618 -99.000000 -6.778611 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr rel_E_err 1.7785762097369489D-13 log_rel_run_E_err -10.5794452191269439 170 7.134571 5631.372 -0.138564 -0.138564 1.000000 1.000000 0.711584 0.001681 0.269894 -1.734404 525 1 6.5395E+00 7.134571 -0.039437 -47.026461 -1.694338 -99.000000 0.000000 0.270676 0.008267 0.017618 0.084079 5 3.8515E+07 1.899740 -0.121723 -15.954590 -99.000000 -6.824534 0.000000 0.002361 0.001838 0.017740 0.000E+00 max increase rel_E_err 2.0235488035723299D-13 log_rel_run_E_err -10.6861717978381012 (age_target - star_age)/age_sigma 173 694.7474824424 reducing max timestep prior to age target 173 4.5158586358755503D+09 180 7.132576 5623.798 -0.130991 -0.130991 1.000000 1.000000 0.704701 0.004374 0.269138 -1.677134 511 1 7.3313E+00 7.132576 -0.042805 -47.061369 -1.775424 -99.000000 0.000000 0.277162 0.008273 0.017575 0.086331 10 1.4639E+08 1.921941 -0.130798 -15.653560 -99.000000 -6.818386 0.000000 0.000055 0.001839 0.018137 0.000E+00 max increase rel_E_err 1.9788981912788411D-13 log_rel_run_E_err -10.6491682288388283 (age_target - star_age)/age_sigma 180 680.4785088575 reducing max timestep prior to age target 180 4.4231103075738068D+09 (age_target - star_age)/age_sigma 183 666.0693698337 reducing max timestep prior to age target 183 4.3294509039193211D+09 (age_target - star_age)/age_sigma 185 651.0205283742 reducing max timestep prior to age target 185 4.2316334344322634D+09 (age_target - star_age)/age_sigma 187 629.3501966724 reducing max timestep prior to age target 187 4.0907762783708997D+09 (age_target - star_age)/age_sigma 188 617.0312528148 reducing max timestep prior to age target 188 4.0107031432959204D+09 (age_target - star_age)/age_sigma 189 604.9586878342 reducing max timestep prior to age target 189 3.9322314709224405D+09 190 7.138666 5639.711 -0.111500 -0.111500 1.000000 1.000000 0.661194 0.004453 0.265168 -1.654832 514 1 7.8859E+00 7.138666 -0.035575 -46.530032 -1.773822 -99.000000 0.000000 0.320586 0.008296 0.017342 0.089292 10 7.1417E+08 1.951356 -0.111429 -99.000000 -99.000000 -6.831863 0.000000 0.000013 0.001846 0.018219 0.000E+00 max_dt rel_E_err 1.7772365133128698D-13 log_rel_run_E_err -10.6153570389881740 (age_target - star_age)/age_sigma 190 593.1275741533 reducing max timestep prior to age target 190 3.8553292319964299D+09 (age_target - star_age)/age_sigma 191 581.5330827460 reducing max timestep prior to age target 191 3.7799650378489399D+09 (age_target - star_age)/age_sigma 192 570.1704811668 reducing max timestep prior to age target 192 3.7061081275843992D+09 (age_target - star_age)/age_sigma 193 559.0351316193 reducing max timestep prior to age target 193 3.6337283555251498D+09 (age_target - star_age)/age_sigma 194 548.1224890626 reducing max timestep prior to age target 194 3.5627961789070849D+09 (age_target - star_age)/age_sigma 195 537.4280993571 reducing max timestep prior to age target 195 3.4932826458213816D+09 (age_target - star_age)/age_sigma 196 526.9475974458 reducing max timestep prior to age target 196 3.4251593833973927D+09 (age_target - star_age)/age_sigma 197 516.6767055726 reducing max timestep prior to age target 197 3.3583985862218833D+09 (age_target - star_age)/age_sigma 198 506.6112315369 reducing max timestep prior to age target 198 3.2929730049898844D+09 (age_target - star_age)/age_sigma 199 496.7470669819 reducing max timestep prior to age target 199 3.2288559353825250D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.147385 5656.293 -0.090590 -0.090590 1.000000 1.000000 0.606417 0.004497 0.260494 -1.634323 516 1 7.7982E+00 7.147385 -0.027668 -45.850341 -1.751733 -99.000000 0.000000 0.375274 0.008314 0.017066 0.093074 10 1.4035E+09 1.987283 -0.090515 -99.000000 -99.000000 -6.847100 0.000000 0.000014 0.001855 0.018309 0.000E+00 max_dt rel_E_err 1.7900109245623860D-13 log_rel_run_E_err -10.5835008378377289 (age_target - star_age)/age_sigma 200 487.0801857180 reducing max timestep prior to age target 200 3.1660212071673126D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 477.6066420794 reducing max timestep prior to age target 201 3.1044431735164051D+09 (age_target - star_age)/age_sigma 202 468.3225693136 reducing max timestep prior to age target 202 3.0440967005385156D+09 (age_target - star_age)/age_sigma 203 459.2241780031 reducing max timestep prior to age target 203 2.9849571570201836D+09 (age_target - star_age)/age_sigma 204 450.3077545188 reducing max timestep prior to age target 204 2.9270004043722181D+09 (age_target - star_age)/age_sigma 205 441.5696595042 reducing max timestep prior to age target 205 2.8702027867772121D+09 (age_target - star_age)/age_sigma 206 433.0063263899 reducing max timestep prior to age target 206 2.8145411215341067D+09 (age_target - star_age)/age_sigma 207 424.6142599378 reducing max timestep prior to age target 207 2.7599926895958633D+09 (age_target - star_age)/age_sigma 208 416.3900348148 reducing max timestep prior to age target 208 2.7065352262963843D+09 (age_target - star_age)/age_sigma 209 408.3302941943 reducing max timestep prior to age target 209 2.6541469122628951D+09 210 7.155057 5669.413 -0.073098 -0.073098 1.000000 1.000000 0.560889 0.004541 0.256645 -1.616088 516 1 7.7105E+00 7.155057 -0.020935 -45.280447 -1.730337 -99.000000 0.000000 0.420732 0.008318 0.016841 0.096566 10 1.9667E+09 2.018642 -0.073024 -15.653560 -99.000000 -6.860073 0.000000 0.000015 0.001863 0.018379 0.000E+00 max_dt rel_E_err 1.8336107450430278D-13 log_rel_run_E_err -10.5544826639364224 (age_target - star_age)/age_sigma 210 400.4317483862 reducing max timestep prior to age target 210 2.6028063645100756D+09 (age_target - star_age)/age_sigma 211 392.6911734942 reducing max timestep prior to age target 211 2.5524926277123127D+09 (age_target - star_age)/age_sigma 212 385.1054101001 reducing max timestep prior to age target 212 2.5031851656505051D+09 (age_target - star_age)/age_sigma 213 377.6713619738 reducing max timestep prior to age target 213 2.4548638528299332D+09 (age_target - star_age)/age_sigma 214 370.3859948101 reducing max timestep prior to age target 214 2.4075089662657728D+09 (age_target - star_age)/age_sigma 215 363.2463349897 reducing max timestep prior to age target 215 2.3611011774328957D+09 (age_target - star_age)/age_sigma 216 356.2494683656 reducing max timestep prior to age target 216 2.3156215443766761D+09 (age_target - star_age)/age_sigma 217 349.3925390741 reducing max timestep prior to age target 217 2.2710515039815812D+09 (age_target - star_age)/age_sigma 218 342.6727483684 reducing max timestep prior to age target 218 2.2273728643943882D+09 220 7.161731 5679.795 -0.058348 -0.058348 1.000000 1.000000 0.523042 0.004585 0.253535 -1.600043 517 1 7.6315E+00 7.161731 -0.015150 -44.801517 -1.711038 -99.000000 0.000000 0.458525 0.008310 0.016658 0.099751 10 2.4277E+09 2.045781 -0.058275 -99.000000 -99.000000 -6.871048 0.000000 0.000015 0.001868 0.018433 0.000E+00 max_dt rel_E_err 1.8543875903593070D-13 log_rel_run_E_err -10.5269639409995950 (age_target - star_age)/age_sigma 220 329.5019585852 reducing max timestep prior to age target 220 2.1417627308034902D+09 (age_target - star_age)/age_sigma 221 323.0482715914 reducing max timestep prior to age target 221 2.0998137653439503D+09 (age_target - star_age)/age_sigma 222 316.7236583375 reducing max timestep prior to age target 222 2.0587037791936007D+09 (age_target - star_age)/age_sigma 223 310.5255373487 reducing max timestep prior to age target 223 2.0184159927662582D+09 (age_target - star_age)/age_sigma 224 304.4513787796 reducing max timestep prior to age target 224 1.9789339620674620D+09 (age_target - star_age)/age_sigma 225 298.4987033819 reducing max timestep prior to age target 225 1.9402415719826427D+09 (age_target - star_age)/age_sigma 226 292.6650814922 reducing max timestep prior to age target 226 1.9023230296995192D+09 (age_target - star_age)/age_sigma 227 286.9481320403 reducing max timestep prior to age target 227 1.8651628582620583D+09 (age_target - star_age)/age_sigma 228 281.3455215774 reducing max timestep prior to age target 228 1.8287458902533469D+09 (age_target - star_age)/age_sigma 229 275.8549633238 reducing max timestep prior to age target 229 1.7930572616048093D+09 230 7.167589 5688.115 -0.045742 -0.045742 1.000000 1.000000 0.491095 0.004631 0.250912 -1.585831 518 1 7.5438E+00 7.167589 -0.010119 -44.392252 -1.693696 -99.000000 0.000000 0.490429 0.008292 0.016503 0.102666 10 2.8114E+09 2.069510 -0.045672 -99.000000 -99.000000 -6.880472 0.000000 0.000016 0.001873 0.018476 0.000E+00 max_dt rel_E_err 1.9100153811846516D-13 log_rel_run_E_err -10.5014416965854718 (age_target - star_age)/age_sigma 230 270.4742162353 reducing max timestep prior to age target 230 1.7580824055292430D+09 (age_target - star_age)/age_sigma 231 265.2010840885 reducing max timestep prior to age target 231 1.7238070465751877D+09 (age_target - star_age)/age_sigma 232 260.0334145846 reducing max timestep prior to age target 232 1.6902171948002133D+09 (age_target - star_age)/age_sigma 233 254.9690984709 reducing max timestep prior to age target 233 1.6572991400607386D+09 (age_target - star_age)/age_sigma 234 250.0060686794 reducing max timestep prior to age target 234 1.6250394464160533D+09 (age_target - star_age)/age_sigma 235 245.1422994837 reducing max timestep prior to age target 235 1.5934249466442618D+09 (age_target - star_age)/age_sigma 236 240.3758056720 reducing max timestep prior to age target 236 1.5624427368679061D+09 (age_target - star_age)/age_sigma 237 235.7046417365 reducing max timestep prior to age target 237 1.5320801712870779D+09 (age_target - star_age)/age_sigma 238 231.1269010797 reducing max timestep prior to age target 238 1.5023248570178661D+09 (age_target - star_age)/age_sigma 239 226.6407152360 reducing max timestep prior to age target 239 1.4731646490340381D+09 240 7.172591 5694.658 -0.035209 -0.035209 1.000000 1.000000 0.464654 0.004677 0.248771 -1.573620 516 1 7.4560E+00 7.172591 -0.005853 -44.049525 -1.678592 -99.000000 0.000000 0.516838 0.008267 0.016375 0.105255 10 3.1249E+09 2.089700 -0.035141 -15.477469 -99.000000 -6.888330 0.000000 0.000016 0.001877 0.018509 0.000E+00 max_dt rel_E_err 1.7659765755731477D-13 log_rel_run_E_err -10.4774335145086219 (age_target - star_age)/age_sigma 240 222.2442531092 reducing max timestep prior to age target 240 1.4445876452098866D+09 (age_target - star_age)/age_sigma 241 217.9357202250 reducing max timestep prior to age target 241 1.4165821814622188D+09 (age_target - star_age)/age_sigma 242 213.7133579984 reducing max timestep prior to age target 242 1.3891368269895039D+09 (age_target - star_age)/age_sigma 243 209.5754430163 reducing max timestep prior to age target 243 1.3622403796062431D+09 (age_target - star_age)/age_sigma 244 205.5202863339 reducing max timestep prior to age target 244 1.3358818611706481D+09 (age_target - star_age)/age_sigma 245 201.5462327852 reducing max timestep prior to age target 245 1.3100505131037645D+09 (age_target - star_age)/age_sigma 246 197.6516603074 reducing max timestep prior to age target 246 1.2847357919982190D+09 (age_target - star_age)/age_sigma 247 193.8349792792 reducing max timestep prior to age target 247 1.2599273653147840D+09 (age_target - star_age)/age_sigma 248 190.0946318715 reducing max timestep prior to age target 248 1.2356151071650181D+09 (age_target - star_age)/age_sigma 249 186.4290914120 reducing max timestep prior to age target 249 1.2117890941782475D+09 250 7.176829 5699.811 -0.026439 -0.026439 1.000000 1.000000 0.442801 0.004721 0.247041 -1.563207 518 1 7.3683E+00 7.176829 -0.002254 -43.763514 -1.665570 -99.000000 0.000000 0.538665 0.008238 0.016271 0.107528 10 3.3811E+09 2.106772 -0.026373 -15.477469 -99.000000 -6.894869 0.000000 0.000017 0.001880 0.018533 0.000E+00 max_dt rel_E_err 1.8102027442762356D-13 log_rel_run_E_err -10.4545269547349822 (age_target - star_age)/age_sigma 250 182.8368617617 reducing max timestep prior to age target 250 1.1884396014512119D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.3164767044 reducing max timestep prior to age target 251 1.1655570985787172D+09 (age_target - star_age)/age_sigma 252 175.8664993483 reducing max timestep prior to age target 252 1.1431322457636724D+09 (age_target - star_age)/age_sigma 254 169.1045437302 reducing max timestep prior to age target 254 1.0991795342461839D+09 (age_target - star_age)/age_sigma 255 165.7911854773 reducing max timestep prior to age target 255 1.0776427056026154D+09 (age_target - star_age)/age_sigma 256 162.5440943895 reducing max timestep prior to age target 256 1.0565366135319176D+09 (age_target - star_age)/age_sigma 257 159.3619451235 reducing max timestep prior to age target 257 1.0358526433026338D+09 (age_target - star_age)/age_sigma 258 156.2434388428 reducing max timestep prior to age target 258 1.0155823524779358D+09 (age_target - star_age)/age_sigma 259 153.1873026877 reducing max timestep prior to age target 259 9.9571746746973181D+08 260 7.180601 5703.972 -0.019052 -0.019052 1.000000 1.000000 0.424490 0.004764 0.245644 -1.554118 519 1 7.2893E+00 7.180601 0.000805 -43.521290 -1.654301 -99.000000 0.000000 0.556957 0.008207 0.016187 0.109519 10 3.5933E+09 2.121633 -0.018987 -99.000000 -99.000000 -6.900359 0.000000 0.000017 0.001883 0.018553 0.000E+00 max_dt rel_E_err 1.8271485720820934D-13 log_rel_run_E_err -10.4328228964613228 (age_target - star_age)/age_sigma 260 150.1922892556 reducing max timestep prior to age target 260 9.7624988016169167D+08 (age_target - star_age)/age_sigma 261 147.2571760923 reducing max timestep prior to age target 261 9.5717164459981298D+08 (age_target - star_age)/age_sigma 262 144.3807651922 reducing max timestep prior to age target 262 9.3847497374917126D+08 (age_target - star_age)/age_sigma 263 141.5618825101 reducing max timestep prior to age target 263 9.2015223631554222D+08 (age_target - star_age)/age_sigma 264 138.7993774816 reducing max timestep prior to age target 264 9.0219595363058615D+08 (age_target - star_age)/age_sigma 265 136.0921225537 reducing max timestep prior to age target 265 8.8459879659932899D+08 (age_target - star_age)/age_sigma 266 133.4390127244 reducing max timestep prior to age target 266 8.6735358270869732D+08 (age_target - star_age)/age_sigma 267 130.8389650917 reducing max timestep prior to age target 267 8.5045327309587812D+08 (age_target - star_age)/age_sigma 268 128.2909184116 reducing max timestep prior to age target 268 8.3389096967531538D+08 (age_target - star_age)/age_sigma 269 125.7938326651 reducing max timestep prior to age target 269 8.1765991232316351D+08 270 7.183664 5707.244 -0.012909 -0.012909 1.000000 1.000000 0.409279 0.004804 0.244479 -1.546500 519 1 7.2016E+00 7.183664 0.003376 -43.319284 -1.644665 -99.000000 0.000000 0.572153 0.008175 0.016117 0.111261 10 3.7677E+09 2.133953 -0.012848 -15.477469 -99.000000 -6.904912 0.000000 0.000018 0.001885 0.018567 0.000E+00 max_dt rel_E_err 1.8275195610153385D-13 log_rel_run_E_err -10.4117360849446232 (age_target - star_age)/age_sigma 270 123.3466886335 reducing max timestep prior to age target 270 8.0175347611805534D+08 (age_target - star_age)/age_sigma 271 120.9484874826 reducing max timestep prior to age target 271 7.8616516863704872D+08 (age_target - star_age)/age_sigma 272 118.5982503547 reducing max timestep prior to age target 272 7.7088862730566216D+08 (age_target - star_age)/age_sigma 273 116.2950179694 reducing max timestep prior to age target 273 7.5591761680090332D+08 (age_target - star_age)/age_sigma 274 114.0378502317 reducing max timestep prior to age target 274 7.4124602650624037D+08 (age_target - star_age)/age_sigma 275 111.8258258488 reducing max timestep prior to age target 275 7.2686786801746988D+08 (age_target - star_age)/age_sigma 276 109.6580419536 reducing max timestep prior to age target 276 7.1277727269847536D+08 (age_target - star_age)/age_sigma 277 107.5336137363 reducing max timestep prior to age target 277 6.9896848928586054D+08 (age_target - star_age)/age_sigma 278 105.4516740833 reducing max timestep prior to age target 278 6.8543588154149818D+08 (age_target - star_age)/age_sigma 279 103.4113732234 reducing max timestep prior to age target 279 6.7217392595202255D+08 280 7.186225 5709.840 -0.007837 -0.007837 1.000000 1.000000 0.396755 0.004841 0.243500 -1.540110 519 1 7.1138E+00 7.186225 0.005517 -43.151833 -1.636537 -99.000000 0.000000 0.584666 0.008144 0.016059 0.112750 10 3.9103E+09 2.144243 -0.007777 -99.000000 -99.000000 -6.908681 0.000000 0.000018 0.001887 0.018578 0.000E+00 max_dt rel_E_err 1.6606807187085333D-13 log_rel_run_E_err -10.3921132445835624 (age_target - star_age)/age_sigma 280 101.4118783807 reducing max timestep prior to age target 280 6.5917720947433662D+08 (age_target - star_age)/age_sigma 281 99.4523734348 reducing max timestep prior to age target 281 6.4644042732620478D+08 (age_target - star_age)/age_sigma 282 97.5320585879 reducing max timestep prior to age target 282 6.3395838082103539D+08 (age_target - star_age)/age_sigma 283 95.6501500378 reducing max timestep prior to age target 283 6.2172597524596930D+08 (age_target - star_age)/age_sigma 284 93.8058796588 reducing max timestep prior to age target 284 6.0973821778240490D+08 (age_target - star_age)/age_sigma 285 91.9984946874 reducing max timestep prior to age target 285 5.9799021546811104D+08 (age_target - star_age)/age_sigma 286 90.2272574154 reducing max timestep prior to age target 286 5.8647717320010328D+08 (age_target - star_age)/age_sigma 287 88.4914448888 reducing max timestep prior to age target 287 5.7519439177745581D+08 (age_target - star_age)/age_sigma 289 85.0892523368 reducing max timestep prior to age target 289 5.5308014018906736D+08 290 7.188366 5711.910 -0.003640 -0.003640 1.000000 1.000000 0.386416 0.004874 0.242710 -1.534784 520 1 7.0349E+00 7.188366 0.007299 -43.012754 -1.629692 -99.000000 0.000000 0.594997 0.008115 0.016011 0.114016 5 4.0273E+09 2.152824 -0.003582 -99.000000 -99.000000 -6.911786 0.000000 0.000018 0.001888 0.018587 0.000E+00 max_dt rel_E_err 1.7698696071731746D-13 log_rel_run_E_err -10.3726202168281709 (age_target - star_age)/age_sigma 290 83.4221779863 reducing max timestep prior to age target 290 5.4224415691075659D+08 (age_target - star_age)/age_sigma 291 81.7884451228 reducing max timestep prior to age target 291 5.3162489329801273D+08 (age_target - star_age)/age_sigma 292 80.1873869165 reducing max timestep prior to age target 292 5.2121801495752335D+08 (age_target - star_age)/age_sigma 293 78.6183498744 reducing max timestep prior to age target 293 5.1101927418384361D+08 (age_target - star_age)/age_sigma 294 77.0806935732 reducing max timestep prior to age target 294 5.0102450822563744D+08 (age_target - star_age)/age_sigma 295 75.5737903979 reducing max timestep prior to age target 295 4.9122963758659554D+08 (age_target - star_age)/age_sigma 296 74.0970252862 reducing max timestep prior to age target 296 4.8163066436033440D+08 (age_target - star_age)/age_sigma 297 72.6497954767 reducing max timestep prior to age target 297 4.7222367059859848D+08 (age_target - star_age)/age_sigma 298 71.2315102634 reducing max timestep prior to age target 298 4.6300481671209717D+08 (age_target - star_age)/age_sigma 299 69.8415907544 reducing max timestep prior to age target 299 4.5397033990332603D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.190172 5713.577 -0.000134 -0.000134 1.000000 1.000000 0.377779 0.004903 0.242063 -1.530292 520 1 6.9471E+00 7.190172 0.008799 -42.896058 -1.623884 -99.000000 0.000000 0.603627 0.008088 0.015973 0.115102 5 4.1244E+09 2.160051 -0.000077 -99.000000 -99.000000 -6.914372 0.000000 0.000019 0.001889 0.018593 0.000E+00 max_dt rel_E_err 1.8918502223979145D-13 log_rel_run_E_err -10.3539602666097021 (age_target - star_age)/age_sigma 300 68.4794696355 reducing max timestep prior to age target 300 4.4511655263073015D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.1445909390 reducing max timestep prior to age target 301 4.3643984110358667D+08 (age_target - star_age)/age_sigma 302 65.8364098165 reducing max timestep prior to age target 302 4.2793666380698538D+08 (age_target - star_age)/age_sigma 303 64.5543923164 reducing max timestep prior to age target 303 4.1960355005631638D+08 (age_target - star_age)/age_sigma 304 63.2980151663 reducing max timestep prior to age target 304 4.1143709858066130D+08 (age_target - star_age)/age_sigma 305 62.0667655592 reducing max timestep prior to age target 305 4.0343397613451862D+08 (age_target - star_age)/age_sigma 306 60.8601409442 reducing max timestep prior to age target 306 3.9559091613729906D+08 (age_target - star_age)/age_sigma 307 59.6776488215 reducing max timestep prior to age target 307 3.8790471734002399D+08 (age_target - star_age)/age_sigma 308 58.5188065413 reducing max timestep prior to age target 308 3.8037224251869392D+08 (age_target - star_age)/age_sigma 309 57.3831411067 reducing max timestep prior to age target 309 3.7299041719379044D+08 310 7.191667 5714.905 0.002747 0.002747 1.000000 1.000000 0.370689 0.004929 0.241539 -1.526578 520 1 6.8594E+00 7.191667 0.010036 -42.799868 -1.619052 -99.000000 0.000000 0.610713 0.008064 0.015941 0.116013 5 4.2037E+09 2.166025 0.002803 -99.000000 -99.000000 -6.916491 0.000000 0.000019 0.001890 0.018598 0.000E+00 max_dt rel_E_err 1.9122583998224530D-13 log_rel_run_E_err -10.3362672836147507 (age_target - star_age)/age_sigma 310 56.2701889808 reducing max timestep prior to age target 310 3.6575622837538576D+08 (age_target - star_age)/age_sigma 311 55.1794958974 reducing max timestep prior to age target 311 3.5866672333334875D+08 (age_target - star_age)/age_sigma 312 54.1106166757 reducing max timestep prior to age target 312 3.5171900839215231D+08 (age_target - star_age)/age_sigma 313 53.0631150384 reducing max timestep prior to age target 313 3.4491024774978018D+08 (age_target - star_age)/age_sigma 314 52.0365634339 reducing max timestep prior to age target 314 3.3823766232025576D+08 (age_target - star_age)/age_sigma 315 51.0305428614 reducing max timestep prior to age target 315 3.3169852859932089D+08 (age_target - star_age)/age_sigma 316 50.0446427004 reducing max timestep prior to age target 316 3.2529017755280542D+08 (age_target - star_age)/age_sigma 317 49.0784605426 reducing max timestep prior to age target 317 3.1900999352722025D+08 (age_target - star_age)/age_sigma 318 48.1316020280 reducing max timestep prior to age target 318 3.1285541318214655D+08 (age_target - star_age)/age_sigma 319 47.2036806837 reducing max timestep prior to age target 319 3.0682392444397449D+08 320 7.192902 5715.966 0.005111 0.005111 1.000000 1.000000 0.364873 0.004951 0.241115 -1.523513 520 1 6.7717E+00 7.192902 0.011057 -42.720704 -1.615045 -99.000000 0.000000 0.616525 0.008043 0.015916 0.116774 5 4.2686E+09 2.170953 0.005166 -15.653560 -99.000000 -6.918225 0.000000 0.000019 0.001891 0.018602 0.000E+00 max_dt rel_E_err 1.8862289917767391D-13 log_rel_run_E_err -10.3192136438535087 (age_target - star_age)/age_sigma 320 46.2943177662 reducing max timestep prior to age target 320 3.0091306548056602D+08 (age_target - star_age)/age_sigma 321 45.4031421071 reducing max timestep prior to age target 321 2.9512042369642496D+08 (age_target - star_age)/age_sigma 322 44.5297899612 reducing max timestep prior to age target 322 2.8944363474796724D+08 (age_target - star_age)/age_sigma 324 42.8180197552 reducing max timestep prior to age target 324 2.7831712840898991D+08 (age_target - star_age)/age_sigma 325 41.9792523543 reducing max timestep prior to age target 325 2.7286514030289078D+08 (age_target - star_age)/age_sigma 326 41.1572603014 reducing max timestep prior to age target 326 2.6752219195891380D+08 (age_target - star_age)/age_sigma 327 40.3517080895 reducing max timestep prior to age target 327 2.6228610258181667D+08 (age_target - star_age)/age_sigma 328 39.5622669219 reducing max timestep prior to age target 328 2.5715473499226189D+08 (age_target - star_age)/age_sigma 329 38.7886145776 reducing max timestep prior to age target 329 2.5212599475449753D+08 330 7.193934 5716.830 0.007076 0.007076 1.000000 1.000000 0.360038 0.004971 0.240765 -1.520952 520 1 6.6927E+00 7.193934 0.011908 -42.654729 -1.611685 -99.000000 0.000000 0.621356 0.008025 0.015895 0.117415 5 4.3223E+09 2.175068 0.007130 -99.000000 -99.000000 -6.919663 0.000000 0.000019 0.001891 0.018605 0.000E+00 max_dt rel_E_err 1.7947184465337319D-13 log_rel_run_E_err -10.3025344948320594 (age_target - star_age)/age_sigma 330 38.0304352802 reducing max timestep prior to age target 330 2.4719782932148838D+08 (age_target - star_age)/age_sigma 331 37.2874195688 reducing max timestep prior to age target 331 2.4236822719713974D+08 (age_target - star_age)/age_sigma 332 36.5592641716 reducing max timestep prior to age target 332 2.3763521711527824D+08 (age_target - star_age)/age_sigma 333 35.8456718823 reducing max timestep prior to age target 333 2.3299686723505402D+08 (age_target - star_age)/age_sigma 334 35.1463514388 reducing max timestep prior to age target 334 2.2845128435243320D+08 (age_target - star_age)/age_sigma 335 34.4610174042 reducing max timestep prior to age target 335 2.2399661312746525D+08 (age_target - star_age)/age_sigma 336 33.7893900503 reducing max timestep prior to age target 336 2.1963103532699680D+08 (age_target - star_age)/age_sigma 337 33.1311952435 reducing max timestep prior to age target 337 2.1535276908253765D+08 (age_target - star_age)/age_sigma 338 32.4861643328 reducing max timestep prior to age target 338 2.1116006816296864D+08 (age_target - star_age)/age_sigma 339 31.8540340403 reducing max timestep prior to age target 339 2.0705122126179028D+08 340 7.194789 5717.524 0.008695 0.008695 1.000000 1.000000 0.356052 0.004987 0.240479 -1.518828 519 1 6.6049E+00 7.194789 0.012611 -42.600212 -1.608896 -99.000000 0.000000 0.625340 0.008009 0.015877 0.117951 5 4.3665E+09 2.178477 0.008747 -15.352530 -99.000000 -6.920845 0.000000 0.000019 0.001892 0.018608 0.000E+00 max_dt rel_E_err 1.8049097178111293D-13 log_rel_run_E_err -10.2867696747372488 (age_target - star_age)/age_sigma 340 31.2345463536 reducing max timestep prior to age target 340 2.0302455129863548D+08 (age_target - star_age)/age_sigma 341 30.6274484207 reducing max timestep prior to age target 341 1.9907841473474407D+08 (age_target - star_age)/age_sigma 342 30.0324924465 reducing max timestep prior to age target 342 1.9521120090213013D+08 (age_target - star_age)/age_sigma 343 29.4494355917 reducing max timestep prior to age target 343 1.9142133134616852D+08 (age_target - star_age)/age_sigma 344 28.8780398741 reducing max timestep prior to age target 344 1.8770725918132591D+08 (age_target - star_age)/age_sigma 345 28.3180720707 reducing max timestep prior to age target 345 1.8406746845978069D+08 (age_target - star_age)/age_sigma 346 27.7693036235 reducing max timestep prior to age target 346 1.8050047355266571D+08 (age_target - star_age)/age_sigma 347 27.2315105452 reducing max timestep prior to age target 347 1.7700481854369354D+08 (age_target - star_age)/age_sigma 348 26.7044733284 reducing max timestep prior to age target 348 1.7357907663490009D+08 (age_target - star_age)/age_sigma 349 26.1879768560 reducing max timestep prior to age target 349 1.7022184956428337D+08 350 7.195491 5718.087 0.010023 0.010023 1.000000 1.000000 0.352787 0.005001 0.240246 -1.517079 519 1 6.5172E+00 7.195491 0.013189 -42.555489 -1.606597 -99.000000 0.000000 0.628603 0.007996 0.015863 0.118395 5 4.4026E+09 2.181278 0.010075 -99.000000 -99.000000 -6.921815 0.000000 0.000020 0.001892 0.018610 0.000E+00 max_dt rel_E_err 1.8659438794750814D-13 log_rel_run_E_err -10.2719222318536598 (age_target - star_age)/age_sigma 350 25.6818103131 reducing max timestep prior to age target 350 1.6693176703507900D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.1857671010 reducing max timestep prior to age target 351 1.6370748615645885D+08 (age_target - star_age)/age_sigma 352 24.6996447531 reducing max timestep prior to age target 352 1.6054769089541054D+08 (age_target - star_age)/age_sigma 353 24.2232448522 reducing max timestep prior to age target 353 1.5745109153958321D+08 (age_target - star_age)/age_sigma 354 23.7563729494 reducing max timestep prior to age target 354 1.5441642417087269D+08 (age_target - star_age)/age_sigma 355 23.2988384845 reducing max timestep prior to age target 355 1.5144245014953613D+08 (age_target - star_age)/age_sigma 356 22.8504547090 reducing max timestep prior to age target 356 1.4852795560862637D+08 (age_target - star_age)/age_sigma 358 21.9716225090 reducing max timestep prior to age target 358 1.4281554630844402D+08 (age_target - star_age)/age_sigma 359 21.5409947310 reducing max timestep prior to age target 359 1.4001646575135422D+08 360 7.196072 5718.544 0.011116 0.011116 1.000000 1.000000 0.350099 0.005013 0.240056 -1.515635 519 1 6.4382E+00 7.196072 0.013666 -42.518610 -1.604694 -99.000000 0.000000 0.631290 0.007985 0.015852 0.118763 5 4.4322E+09 2.183591 0.011168 -99.000000 -99.000000 -6.922612 0.000000 0.000020 0.001893 0.018611 0.000E+00 max_dt rel_E_err 1.8741368794528776D-13 log_rel_run_E_err -10.2574020174430345 (age_target - star_age)/age_sigma 360 21.1189795085 reducing max timestep prior to age target 360 1.3727336680540657D+08 (age_target - star_age)/age_sigma 361 20.7054045905 reducing max timestep prior to age target 361 1.3458512983837700D+08 (age_target - star_age)/age_sigma 362 20.3001011709 reducing max timestep prior to age target 362 1.3195065761068916D+08 (age_target - star_age)/age_sigma 363 19.9029038196 reducing max timestep prior to age target 363 1.2936887482755375D+08 (age_target - star_age)/age_sigma 364 19.5136504154 reducing max timestep prior to age target 364 1.2683872770008183D+08 (age_target - star_age)/age_sigma 365 19.1321820793 reducing max timestep prior to age target 365 1.2435918351515961D+08 (age_target - star_age)/age_sigma 366 18.7583431098 reducing max timestep prior to age target 366 1.2192923021393585D+08 (age_target - star_age)/age_sigma 367 18.3919809198 reducing max timestep prior to age target 367 1.1954787597873592D+08 (age_target - star_age)/age_sigma 368 18.0329459736 reducing max timestep prior to age target 368 1.1721414882824039D+08 (age_target - star_age)/age_sigma 369 17.6810917263 reducing max timestep prior to age target 369 1.1492709622075462D+08 370 7.196555 5718.919 0.012024 0.012024 1.000000 1.000000 0.347868 0.005023 0.239898 -1.514432 519 1 6.3505E+00 7.196555 0.014063 -42.487948 -1.603108 -99.000000 0.000000 0.633520 0.007975 0.015842 0.119071 5 4.4568E+09 2.185516 0.012076 -15.653560 -99.000000 -6.923273 0.000000 0.000020 0.001893 0.018612 0.000E+00 max_dt rel_E_err 1.8083492492725586D-13 log_rel_run_E_err -10.2430985262589527 (age_target - star_age)/age_sigma 370 17.3362745639 reducing max timestep prior to age target 370 1.1268578466541862D+08 (age_target - star_age)/age_sigma 371 16.9983537448 reducing max timestep prior to age target 371 1.1048929934119034D+08 (age_target - star_age)/age_sigma 372 16.6671913421 reducing max timestep prior to age target 372 1.0833674372344494D+08 (age_target - star_age)/age_sigma 373 16.3426521874 reducing max timestep prior to age target 373 1.0622723921805573D+08 (age_target - star_age)/age_sigma 374 16.0246038158 reducing max timestep prior to age target 374 1.0415992480277348D+08 (age_target - star_age)/age_sigma 375 15.7129164117 reducing max timestep prior to age target 375 1.0213395667579746D+08 (age_target - star_age)/age_sigma 376 15.4074627556 reducing max timestep prior to age target 376 1.0014850791136074D+08 (age_target - star_age)/age_sigma 377 15.1081181726 reducing max timestep prior to age target 377 9.8202768122212410D+07 (age_target - star_age)/age_sigma 378 14.8147604814 reducing max timestep prior to age target 378 9.6295943128847122D+07 (age_target - star_age)/age_sigma 379 14.5272699439 reducing max timestep prior to age target 379 9.4427254635349274D+07 380 7.196951 5719.223 0.012767 0.012767 1.000000 1.000000 0.346042 0.005031 0.239770 -1.513445 519 1 6.2628E+00 7.196951 0.014388 -42.462837 -1.601806 -99.000000 0.000000 0.635345 0.007967 0.015835 0.119325 5 4.4769E+09 2.187094 0.012818 -99.000000 -99.000000 -6.923813 0.000000 0.000020 0.001893 0.018613 0.000E+00 max_dt rel_E_err 2.0069689785110454D-13 log_rel_run_E_err -10.2291699962738907 (age_target - star_age)/age_sigma 380 14.2455292172 reducing max timestep prior to age target 380 9.2595939911722183D+07 (age_target - star_age)/age_sigma 381 13.9694233050 reducing max timestep prior to age target 381 9.0801251482566833D+07 (age_target - star_age)/age_sigma 382 13.6988395111 reducing max timestep prior to age target 382 8.9042456821994781D+07 (age_target - star_age)/age_sigma 383 13.4336673930 reducing max timestep prior to age target 383 8.7318838054634094D+07 (age_target - star_age)/age_sigma 384 13.1737987173 reducing max timestep prior to age target 384 8.5629691662620544D+07 (age_target - star_age)/age_sigma 385 12.9191274151 reducing max timestep prior to age target 385 8.3974328198447227D+07 (age_target - star_age)/age_sigma 386 12.6695495390 reducing max timestep prior to age target 386 8.2352072003558159D+07 (age_target - star_age)/age_sigma 387 12.4249632204 reducing max timestep prior to age target 387 8.0762260932565689D+07 (age_target - star_age)/age_sigma 388 12.1852686282 reducing max timestep prior to age target 388 7.9204246082993507D+07 (age_target - star_age)/age_sigma 389 11.9503679278 reducing max timestep prior to age target 389 7.7677391530412674D+07 390 7.197275 5719.470 0.013374 0.013374 1.000000 1.000000 0.344548 0.005038 0.239665 -1.512636 519 1 6.1750E+00 7.197275 0.014654 -42.442279 -1.600738 -99.000000 0.000000 0.636838 0.007960 0.015828 0.119533 5 4.4933E+09 2.188386 0.013425 -99.000000 -99.000000 -6.924255 0.000000 0.000020 0.001893 0.018614 0.000E+00 max_dt rel_E_err 1.8334100040430886D-13 log_rel_run_E_err -10.2157309624424713 (age_target - star_age)/age_sigma 390 11.7201652414 reducing max timestep prior to age target 390 7.6181074068882942D+07 (age_target - star_age)/age_sigma 391 11.4945666087 reducing max timestep prior to age target 391 7.4714682956584930D+07 (age_target - star_age)/age_sigma 392 11.2734799487 reducing max timestep prior to age target 392 7.3277619666532516D+07 (age_target - star_age)/age_sigma 394 10.8401500951 reducing max timestep prior to age target 394 7.0460975618029594D+07 (age_target - star_age)/age_sigma 395 10.6278184668 reducing max timestep prior to age target 395 6.9080820034263611D+07 (age_target - star_age)/age_sigma 396 10.4197334711 reducing max timestep prior to age target 396 6.7728267562171936D+07 (age_target - star_age)/age_sigma 397 10.2158101753 reducing max timestep prior to age target 397 6.6402766139522552D+07 (age_target - star_age)/age_sigma 398 10.0159653454 reducing max timestep prior to age target 398 6.5103774745326996D+07 (age_target - star_age)/age_sigma 399 9.8201174122 reducing max timestep prior to age target 399 6.3830763179014206D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.197544 5719.674 0.013878 0.013878 1.000000 1.000000 0.343310 0.005043 0.239578 -1.511964 519 1 6.0961E+00 7.197544 0.014875 -42.425221 -1.599850 -99.000000 0.000000 0.638076 0.007955 0.015823 0.119707 5 4.5069E+09 2.189460 0.013929 -99.000000 -99.000000 -6.924621 0.000000 0.000020 0.001894 0.018614 0.000E+00 max_dt rel_E_err 1.9432469822916985D-13 log_rel_run_E_err -10.2027617131813724 (age_target - star_age)/age_sigma 400 9.6281864375 reducing max timestep prior to age target 400 6.2583211844028473D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4400940824 reducing max timestep prior to age target 401 6.1360611535741806D+07 (age_target - star_age)/age_sigma 402 9.2557635744 reducing max timestep prior to age target 402 6.0162463233620644D+07 (age_target - star_age)/age_sigma 403 9.0751196765 reducing max timestep prior to age target 403 5.8988277897542953D+07 (age_target - star_age)/age_sigma 404 8.8980886566 reducing max timestep prior to age target 404 5.7837576268185616D+07 (age_target - star_age)/age_sigma 405 8.7245982571 reducing max timestep prior to age target 405 5.6709888671416283D+07 (age_target - star_age)/age_sigma 406 8.5545776656 reducing max timestep prior to age target 406 5.5604754826581955D+07 (age_target - star_age)/age_sigma 407 8.3879574859 reducing max timestep prior to age target 407 5.4521723658644676D+07 (age_target - star_age)/age_sigma 408 8.2246697099 reducing max timestep prior to age target 408 5.3460353114065170D+07 (age_target - star_age)/age_sigma 409 8.0646476893 reducing max timestep prior to age target 409 5.2420209980378151D+07 410 7.197766 5719.840 0.014293 0.014293 1.000000 1.000000 0.342291 0.005048 0.239507 -1.511410 519 1 6.0083E+00 7.197766 0.015057 -42.411176 -1.599118 -99.000000 0.000000 0.639094 0.007950 0.015819 0.119850 3 4.5181E+09 2.190344 0.014343 -99.000000 -99.000000 -6.924922 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt rel_E_err 1.7739913461175191D-13 log_rel_run_E_err -10.1904924700020629 (age_target - star_age)/age_sigma 410 7.9078261091 reducing max timestep prior to age target 410 5.1400869709364891D+07 (age_target - star_age)/age_sigma 411 7.7541409606 reducing max timestep prior to age target 411 5.0401916243771553D+07 (age_target - star_age)/age_sigma 412 7.6035295150 reducing max timestep prior to age target 412 4.9422941847490311D+07 (age_target - star_age)/age_sigma 413 7.4559302983 reducing max timestep prior to age target 413 4.8463546939134598D+07 (age_target - star_age)/age_sigma 414 7.3112830660 reducing max timestep prior to age target 414 4.7523339928946495D+07 (age_target - star_age)/age_sigma 415 7.1695287783 reducing max timestep prior to age target 415 4.6601937058961868D+07 (age_target - star_age)/age_sigma 416 7.0306095764 reducing max timestep prior to age target 416 4.5698962246376991D+07 (age_target - star_age)/age_sigma 417 6.8944687585 reducing max timestep prior to age target 417 4.4814046930044174D+07 (age_target - star_age)/age_sigma 418 6.7610507569 reducing max timestep prior to age target 418 4.3946829920037270D+07 (age_target - star_age)/age_sigma 419 6.6303011154 reducing max timestep prior to age target 419 4.3096957250230789D+07 420 7.197948 5719.975 0.014632 0.014632 1.000000 1.000000 0.341458 0.005052 0.239449 -1.510956 519 1 5.9206E+00 7.197948 0.015206 -42.399687 -1.598519 -99.000000 0.000000 0.639927 0.007946 0.015815 0.119968 3 4.5272E+09 2.191068 0.014682 -99.000000 -99.000000 -6.925168 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt rel_E_err 1.8965455458297647D-13 log_rel_run_E_err -10.1782623885915591 (age_target - star_age)/age_sigma 420 6.5021664667 reducing max timestep prior to age target 420 4.2264082033820152D+07 (age_target - star_age)/age_sigma 421 6.3765945110 reducing max timestep prior to age target 421 4.1447864321738243D+07 (age_target - star_age)/age_sigma 422 6.2535339944 reducing max timestep prior to age target 422 4.0647970963897705D+07 (age_target - star_age)/age_sigma 423 6.1329346882 reducing max timestep prior to age target 423 3.9864075473214149D+07 (age_target - star_age)/age_sigma 424 6.0147473681 reducing max timestep prior to age target 424 3.9095857892343521D+07 (age_target - star_age)/age_sigma 425 5.8989237943 reducing max timestep prior to age target 425 3.8343004663090706D+07 (age_target - star_age)/age_sigma 426 5.7854166921 reducing max timestep prior to age target 426 3.7605208498423576D+07 (age_target - star_age)/age_sigma 428 5.5629427716 reducing max timestep prior to age target 428 3.6159128015674591D+07 (age_target - star_age)/age_sigma 429 5.4539305506 reducing max timestep prior to age target 429 3.5450548579127312D+07 430 7.198097 5720.086 0.014910 0.014910 1.000000 1.000000 0.340773 0.005055 0.239401 -1.510583 519 1 5.8416E+00 7.198097 0.015328 -42.390238 -1.598026 -99.000000 0.000000 0.640612 0.007943 0.015813 0.120064 3 4.5347E+09 2.191663 0.014960 -15.352530 -99.000000 -6.925370 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.7907662954459102D-13 log_rel_run_E_err -10.1665616232271177 (age_target - star_age)/age_sigma 430 5.3470985740 reducing max timestep prior to age target 430 3.4756140731311798D+07 (age_target - star_age)/age_sigma 431 5.2424032370 reducing max timestep prior to age target 431 3.4075621040452003D+07 (age_target - star_age)/age_sigma 432 5.1398018067 reducing max timestep prior to age target 432 3.3408711743409157D+07 (age_target - star_age)/age_sigma 433 5.0392524050 reducing max timestep prior to age target 433 3.2755140632308006D+07 (age_target - star_age)/age_sigma 434 4.9404435343 reducing max timestep prior to age target 434 3.2112882972850800D+07 (age_target - star_age)/age_sigma 435 4.8416346636 reducing max timestep prior to age target 435 3.1470625313393593D+07 (age_target - star_age)/age_sigma 436 4.7428257929 reducing max timestep prior to age target 436 3.0828367653936386D+07 (age_target - star_age)/age_sigma 437 4.6440169222 remaining steps and years until age target 437 47 3.0186109994480133D+07 (age_target - star_age)/age_sigma 438 4.5452080515 reducing max timestep prior to age target 438 2.9543852335022926D+07 (age_target - star_age)/age_sigma 439 4.4463991809 reducing max timestep prior to age target 439 2.8901594675565720D+07 440 7.198226 5720.182 0.015151 0.015151 1.000000 1.000000 0.340180 0.005058 0.239359 -1.510260 519 1 5.8077E+00 7.198226 0.015434 -42.382055 -1.597598 -99.000000 0.000000 0.641205 0.007940 0.015810 0.120148 3 4.5412E+09 2.192179 0.015201 -15.653560 -99.000000 -6.925545 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.7357429762047557D-13 log_rel_run_E_err -10.1549539814988385 (age_target - star_age)/age_sigma 440 4.3475903102 reducing max timestep prior to age target 440 2.8259337016108513D+07 (age_target - star_age)/age_sigma 441 4.2487814395 reducing max timestep prior to age target 441 2.7617079356651306D+07 (age_target - star_age)/age_sigma 442 4.1499725688 remaining steps and years until age target 442 42 2.6974821697195053D+07 (age_target - star_age)/age_sigma 443 4.0511636981 reducing max timestep prior to age target 443 2.6332564037737846D+07 (age_target - star_age)/age_sigma 444 3.9523548274 reducing max timestep prior to age target 444 2.5690306378280640D+07 (age_target - star_age)/age_sigma 445 3.8535459567 reducing max timestep prior to age target 445 2.5048048718823433D+07 (age_target - star_age)/age_sigma 446 3.7547370861 remaining steps and years until age target 446 38 2.4405791059367180D+07 (age_target - star_age)/age_sigma 447 3.6559282154 reducing max timestep prior to age target 447 2.3763533399909973D+07 (age_target - star_age)/age_sigma 448 3.5571193447 reducing max timestep prior to age target 448 2.3121275740452766D+07 (age_target - star_age)/age_sigma 449 3.4583104740 reducing max timestep prior to age target 449 2.2479018080995560D+07 450 7.198354 5720.277 0.015390 0.015390 1.000000 1.000000 0.339593 0.005061 0.239319 -1.509940 519 1 5.8077E+00 7.198354 0.015539 -42.373960 -1.597175 -99.000000 0.000000 0.641791 0.007937 0.015808 0.120232 3 4.5477E+09 2.192689 0.015440 -99.000000 -99.000000 -6.925718 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.7631742823044122D-13 log_rel_run_E_err -10.1436924884724871 (age_target - star_age)/age_sigma 450 3.3595016033 reducing max timestep prior to age target 450 2.1836760421538353D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2606927326 remaining steps and years until age target 451 33 2.1194502762082100D+07 (age_target - star_age)/age_sigma 452 3.1618838619 reducing max timestep prior to age target 452 2.0552245102624893D+07 (age_target - star_age)/age_sigma 453 3.0630749913 reducing max timestep prior to age target 453 1.9909987443167686D+07 (age_target - star_age)/age_sigma 454 2.9642661206 reducing max timestep prior to age target 454 1.9267729783710480D+07 (age_target - star_age)/age_sigma 455 2.8654572499 remaining steps and years until age target 455 29 1.8625472124254227D+07 (age_target - star_age)/age_sigma 456 2.7666483792 reducing max timestep prior to age target 456 1.7983214464797020D+07 (age_target - star_age)/age_sigma 457 2.6678395085 reducing max timestep prior to age target 457 1.7340956805339813D+07 (age_target - star_age)/age_sigma 458 2.5690306378 reducing max timestep prior to age target 458 1.6698699145882607D+07 (age_target - star_age)/age_sigma 459 2.4702217671 reducing max timestep prior to age target 459 1.6056441486425400D+07 460 7.198483 5720.372 0.015629 0.015629 1.000000 1.000000 0.339006 0.005064 0.239278 -1.509619 519 1 5.8077E+00 7.198483 0.015644 -42.365859 -1.596751 -99.000000 0.000000 0.642377 0.007935 0.015805 0.120315 3 4.5541E+09 2.193200 0.015678 -99.000000 -99.000000 -6.925891 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.8751662106086423D-13 log_rel_run_E_err -10.1326439963832708 (age_target - star_age)/age_sigma 460 2.3714128965 remaining steps and years until age target 460 24 1.5414183826969147D+07 (age_target - star_age)/age_sigma 461 2.2726040258 reducing max timestep prior to age target 461 1.4771926167511940D+07 (age_target - star_age)/age_sigma 462 2.1737951551 reducing max timestep prior to age target 462 1.4129668508054733D+07 (age_target - star_age)/age_sigma 463 2.0749862844 reducing max timestep prior to age target 463 1.3487410848597527D+07 (age_target - star_age)/age_sigma 464 1.9761774137 remaining steps and years until age target 464 20 1.2845153189141273D+07 (age_target - star_age)/age_sigma 465 1.8773685430 reducing max timestep prior to age target 465 1.2202895529684067D+07 (age_target - star_age)/age_sigma 466 1.7785596723 reducing max timestep prior to age target 466 1.1560637870226860D+07 (age_target - star_age)/age_sigma 467 1.6797508017 reducing max timestep prior to age target 467 1.0918380210769653D+07 (age_target - star_age)/age_sigma 468 1.5809419310 reducing max timestep prior to age target 468 1.0276122551312447D+07 (age_target - star_age)/age_sigma 469 1.4821330603 remaining steps and years until age target 469 15 9.6338648918561935D+06 470 7.198611 5720.466 0.015867 0.015867 1.000000 1.000000 0.338420 0.005067 0.239237 -1.509298 519 1 5.8077E+00 7.198611 0.015749 -42.357754 -1.596327 -99.000000 0.000000 0.642964 0.007932 0.015803 0.120398 3 4.5605E+09 2.193711 0.015917 -99.000000 -99.000000 -6.926064 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.7990063247551862D-13 log_rel_run_E_err -10.1218738815936184 (age_target - star_age)/age_sigma 470 1.3833241896 reducing max timestep prior to age target 470 8.9916072323989868D+06 (age_target - star_age)/age_sigma 471 1.2845153189 reducing max timestep prior to age target 471 8.3493495729417801D+06 (age_target - star_age)/age_sigma 472 1.1857064482 reducing max timestep prior to age target 472 7.7070919134845734D+06 (age_target - star_age)/age_sigma 473 1.0868975775 remaining steps and years until age target 473 11 7.0648342540283203D+06 (age_target - star_age)/age_sigma 474 0.9880887069 reducing max timestep prior to age target 474 6.4225765945711136D+06 (age_target - star_age)/age_sigma 475 0.8892798362 reducing max timestep prior to age target 475 5.7803189351139069D+06 (age_target - star_age)/age_sigma 476 0.7904709655 reducing max timestep prior to age target 476 5.1380612756567001D+06 (age_target - star_age)/age_sigma 477 0.6916620948 reducing max timestep prior to age target 477 4.4958036161994934D+06 (age_target - star_age)/age_sigma 478 0.5928532241 remaining steps and years until age target 478 6 3.8535459567432404D+06 (age_target - star_age)/age_sigma 479 0.4940443534 remaining steps and years until age target 479 5 3.2112882972860336D+06 480 7.198739 5720.560 0.016106 0.016106 1.000000 1.000000 0.337832 0.005069 0.239196 -1.508977 519 1 5.8077E+00 7.198739 0.015854 -42.349642 -1.595902 -99.000000 0.000000 0.643551 0.007929 0.015800 0.120482 3 4.5669E+09 2.194223 0.016156 -15.352530 -99.000000 -6.926238 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.8327753422559375D-13 log_rel_run_E_err -10.1114848490857092 (age_target - star_age)/age_sigma 480 0.3952354827 remaining steps and years until age target 480 4 2.5690306378288269D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2964266121 remaining steps and years until age target 481 3 1.9267729783716202D+06 (age_target - star_age)/age_sigma 482 0.1976177414 remaining steps and years until age target 482 2 1.2845153189153671D+06 (age_target - star_age)/age_sigma 483 0.0988088707 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334180.49 0.00 334180.49 save outputs/best.mod 484 save outputs/best.profile for model 484 save LOGS/profile11.data for model 484 have reached age_target save LOGS/profile11.data for model 484 solver retries 7 varcontrol dt limit 244 max increase dt limit 3215 lgTeff dt limit 1 lgRho_cntr dt limit 110 model saved to final.mod save photos/x484 for model 484 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334180.49 0.00 334180.49 have reached age_target runtime (minutes), retries, steps 3.23 1 484 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 484 7.198791 5720.598 0.016202 0.016202 1.000000 1.000000 0.337598 0.005070 0.239180 -1.508848 519 1 5.8077E+00 7.198791 0.015896 -42.346396 -1.595732 -99.000000 0.000000 0.643786 0.007928 0.015799 0.120516 3 4.5695E+09 2.194428 0.016251 -99.000000 -99.000000 -6.926307 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.7989309971683844D-13 log_rel_run_E_err -10.1072985553501749 Teff 5720.5979558236 radius 1.0372797593 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1389.7804563597 M_H -0.0339365458 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 1151.6891398113 log_R 0.0158959035 delta_nu 134.0243181616 nu_max 2873.5532959070 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2700000000 initial_FeH 0.0330000000 alpha 2.0000000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 334180.4898653904 model number 484 save best model results to outputs/sample_0006.data current set of sample results 1 2 3 4 5 6 7 8 samples version_number compiler build MESA_SDK_version math_backend date search_type 6 "7067e26" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251202" "newuoa" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first 5 3.3333875998557516E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615172099E+03 1.0010042019474874E+00 3.9078811617172336E-03 4.3590053503975688E-04 1.4131272100397655E+02 3.1134409186002090E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557516E+05 0 0 0 0 0 0 0 4 3.3337679267851776E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620732275E+03 1.0114129282002264E+00 3.5086386214787716E-04 4.9285006215553989E-03 1.3913658568066575E+02 3.0234851123016156E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851776E+05 0 0 0 0 0 0 0 1 3.3351283960191364E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763963E+03 1.0231407131234020E+00 -1.7395981953360481E-03 9.9353665865702778E-03 1.3680762272705823E+02 2.9640776267831352E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191364E+05 0 0 0 0 0 0 0 3 3.3365606602481316E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367450E+03 1.0099970103007068E+00 2.9466215560994696E-02 4.3200882263779048E-03 1.3947582155333197E+02 3.0536692076808167E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602481316E+05 0 0 0 0 0 0 0 6 3.3418048986539035E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558236477E+03 1.0372797593388121E+00 -3.3936545784909809E-02 1.5895903497377413E-02 1.3402431816161774E+02 2.8735532959069524E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986539035E+05 0 0 0 0 0 0 0 2 3.3468070564326138E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271320E+03 1.0622782375814146E+00 -1.2788199777018321E-02 2.6238284372326726E-02 1.2938435093834121E+02 2.7294282123454341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326138E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 1.7749999999999999D+00 -4.5000000000000001D-01 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 10 5.954491 4639.671 -12.856135 -12.856135 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395708 410 0 -5.0000E+00 5.954371 0.953837 -99.000000 -14.254000 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 1.0000E-04 -1.867396 1.528317 -99.000000 -99.000000 -7.746626 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt solver rejected trial model s% model_number 12 s% solver_call_number 12 nz 409 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 12 20 5.954492 4508.768 -12.856143 -12.856143 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 406 1 -5.0000E+00 5.954372 0.953665 -99.000000 -14.254009 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 1.9000E-04 -1.867396 1.478255 -99.000000 -99.000000 -7.712010 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954493 4437.620 -12.856146 -12.856146 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 406 1 -5.0000E+00 5.954373 0.953547 -99.000000 -14.254012 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 2.9000E-04 -1.867395 1.450389 -99.000000 -99.000000 -7.688931 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954493 4394.865 -12.856149 -12.856149 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1 -5.0000E+00 5.954373 0.953466 -99.000000 -14.254015 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 2 3.9000E-04 -1.867395 1.433408 -99.000000 -99.000000 -7.673835 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954493 4365.554 -12.856150 -12.856150 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 404 1 -5.0000E+00 5.954373 0.953404 -99.000000 -14.254016 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 2 4.9000E-04 -1.867394 1.421660 -99.000000 -99.000000 -7.662851 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954494 4209.353 -12.856154 -12.856154 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395712 402 0 -2.2907E+00 5.954375 0.952872 -99.000000 -14.254020 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 1.0230E-02 -1.867393 1.357299 -99.000000 -99.000000 -7.591983 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 4.1079071442502679D-01 20 5.954580 4200.868 -12.855014 -12.855014 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395708 398 0 7.1957E-01 5.954462 0.952700 -99.000000 -14.252880 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071359 3 1.0486E+01 -1.867261 1.353451 -99.000000 -99.000000 -7.587209 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 2.0551254496307250D-01 30 5.998595 4232.980 -12.245000 -12.245000 1.000000 1.000000 0.700000 0.001010 0.279998 -6.254355 403 0 3.5107E+00 5.998595 0.907983 -99.000000 -13.642865 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071090 3 8.2649E+03 -1.739781 1.277244 -99.000000 -99.000000 -7.549123 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501862506639D-08 40 6.176868 4345.109 -9.876935 -9.876935 1.000000 1.000000 0.700000 0.001010 0.279974 -5.636462 414 0 4.0834E+00 6.176868 0.723509 -99.000000 -11.274795 -99.000000 0.000000 0.280000 0.009381 0.019979 0.071111 3 8.3682E+04 -1.204563 0.953715 -99.000000 -99.000000 -7.376621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128502084551243D-08 50 6.354333 4407.592 -7.760688 -7.760688 1.000000 1.000000 0.700000 0.001010 0.279846 -5.021452 432 0 4.5917E+00 6.354333 0.541649 -99.000000 -9.158532 -99.000000 0.000000 0.280000 0.009381 0.019875 0.071124 3 3.2725E+05 -0.671927 0.614797 -99.000000 -99.000000 -7.180198 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128502528640453D-08 60 6.528188 4414.333 -5.890699 -5.890699 1.000000 1.000000 0.700000 0.001010 0.279599 -4.418323 443 0 5.1082E+00 6.528188 0.364629 -99.000000 -7.288501 -99.000000 0.000000 0.280000 0.009381 0.019715 0.071140 3 1.1227E+06 -0.150084 0.263412 -99.000000 -99.000000 -6.942641 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128502528640453D-08 finished relax to begin radiative core 65 4.5589499458135131D-03 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1127416933281451D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.603560 4258.170 -5.094590 -5.094590 1.000000 1.000000 0.711274 0.000946 0.270000 -4.107061 454 0 -4.2874E+00 6.603560 0.282566 -99.000000 -6.492352 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071566 10 2.5959E-04 0.094646 0.036718 -99.000000 -99.000000 -6.892892 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6987115064964727D-13 log_rel_run_E_err -11.5765477642785690 20 6.603561 4271.052 -5.094592 -5.094592 1.000000 1.000000 0.711274 0.000946 0.270000 -4.107061 454 0 -3.4956E+00 6.603561 0.282582 -99.000000 -6.492354 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071566 6 1.8669E-03 0.094646 0.041996 -99.000000 -99.000000 -6.898996 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6264594611542800D-13 log_rel_run_E_err -11.2788733944589037 solver rejected trial model s% model_number 28 s% solver_call_number 144 nz 454 s% num_retries 0 dt 4.3350849307682925D+04 log dt/secyer -2.8621063567141296D+00 retry: max residual jumped -- give up in solver 28 30 6.603561 4272.656 -5.094594 -5.094594 1.000000 1.000000 0.711274 0.000946 0.270000 -4.107061 454 1 -3.0840E+00 6.603561 0.282588 -99.000000 -6.492356 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071566 5 9.0165E-03 0.094647 0.042661 -99.000000 -99.000000 -6.899757 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4175143562747996D-13 log_rel_run_E_err -11.1038418307763411 40 6.603562 4272.421 -5.094594 -5.094594 1.000000 1.000000 0.711274 0.000946 0.270000 -4.107061 454 1 -2.2921E+00 6.603562 0.282591 -99.000000 -6.492356 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071566 5 3.4691E-02 0.094648 0.042571 -99.000000 -99.000000 -6.899650 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.8354045483576256D-13 log_rel_run_E_err -10.9800976765274481 50 6.603563 4271.450 -5.094594 -5.094594 1.000000 1.000000 0.711274 0.000946 0.270000 -4.107061 454 1 -1.5003E+00 6.603563 0.282587 -99.000000 -6.492355 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071566 4 1.9366E-01 0.094649 0.042168 -20.293948 -99.000000 -6.899190 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5053883904059248D-13 log_rel_run_E_err -10.8834648119397990 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.603563 4270.271 -5.094593 -5.094593 1.000000 1.000000 0.711274 0.000946 0.270000 -4.107061 454 1 -7.0852E-01 6.603563 0.282576 -99.000000 -6.492355 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071566 2 1.1780E+00 0.094650 0.041667 -99.000000 -99.000000 -6.898623 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6108369059000405D-13 log_rel_run_E_err -10.8024619849577128 70 6.603563 4270.271 -5.094589 -5.094589 1.000000 1.000000 0.711274 0.000946 0.270000 -4.107059 454 1 8.3295E-02 6.603563 0.282575 -99.000000 -6.492351 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071566 2 7.2726E+00 0.094651 0.041666 -20.470040 -99.000000 -6.898622 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7143304112943333D-13 log_rel_run_E_err -10.7363166470217148 80 6.603566 4270.269 -5.094565 -5.094565 1.000000 1.000000 0.711274 0.000946 0.270000 -4.107048 454 1 8.7511E-01 6.603566 0.282573 -99.000000 -6.492326 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071566 2 4.5009E+01 0.094659 0.041660 -99.000000 -99.000000 -6.898618 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6440152403832745D-13 log_rel_run_E_err -10.6801251953413701 90 6.603579 4270.256 -5.094412 -5.094412 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106983 454 1 1.6669E+00 6.603579 0.282557 -99.000000 -6.492174 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071566 2 2.7866E+02 0.094708 0.041624 -20.169010 -99.000000 -6.898592 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6478217343966807D-13 log_rel_run_E_err -10.6285605369009239 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.603665 4270.175 -5.093471 -5.093471 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106578 454 1 2.4587E+00 6.603665 0.282459 -99.000000 -6.491232 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071569 2 1.7254E+03 0.095012 0.041395 -20.771070 -99.000000 -6.898436 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6062125575453964D-13 log_rel_run_E_err -10.5831419257783246 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.604196 4269.678 -5.087658 -5.087658 1.000000 1.000000 0.711274 0.000946 0.270000 -4.104076 454 1 3.2505E+00 6.604196 0.281856 -99.000000 -6.485419 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071584 2 1.0683E+04 0.096888 0.039987 -99.000000 -99.000000 -6.897470 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5752001936613662D-13 log_rel_run_E_err -10.5425116258976850 120 6.607407 4266.621 -5.052358 -5.052358 1.000000 1.000000 0.711274 0.000946 0.270000 -4.088726 454 1 4.0424E+00 6.607407 0.278188 -99.000000 -6.450117 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071684 2 6.6147E+04 0.108334 0.031405 -99.000000 -99.000000 -6.891575 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err -2.6708042192517367D-13 log_rel_run_E_err -10.5157094540488583 130 6.624937 4249.939 -4.856595 -4.856595 1.000000 1.000000 0.711274 0.000946 0.270000 -3.998643 455 1 4.8342E+00 6.624937 0.257686 -99.000000 -6.254340 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072380 3 4.0956E+05 0.173524 -0.016404 -99.000000 -99.000000 -6.858666 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5917864940122705D-13 log_rel_run_E_err -10.3823849085555064 140 6.689300 4181.128 -4.104311 -4.104311 1.000000 1.000000 0.711273 0.000946 0.270000 -3.562473 461 1 5.6260E+00 6.689300 0.177653 -99.000000 -5.501971 -99.000000 0.000000 0.270001 0.008783 0.018726 0.077642 4 2.5359E+06 0.458030 -0.204827 -99.000000 -99.000000 -6.726061 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6074834790155338D-13 log_rel_run_E_err -10.1702694842472212 150 6.792660 4234.003 -2.963579 -2.963579 1.000000 1.000000 0.711267 0.000946 0.269998 -2.707576 471 1 5.9056E+00 6.792660 0.076564 -99.000000 -4.360881 -99.000000 0.000000 0.270006 0.008783 0.018726 0.091269 4 9.5059E+06 0.978788 -0.385174 -18.186738 -99.000000 -6.628425 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.0962520373000322D-13 log_rel_run_E_err -10.0667866148132568 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 6.932053 4796.927 -1.705461 -1.705461 1.000000 1.000000 0.711233 0.000946 0.269987 -1.875386 491 1 6.0153E+00 6.932053 0.030488 -99.000000 -3.101683 -99.000000 0.000000 0.270040 0.008783 0.018725 0.101651 4 2.0201E+07 1.537300 -0.260479 -17.459740 -99.000000 -6.768348 0.000000 0.003227 0.001952 0.018727 0.000E+00 lgRho_cntr rel_E_err 2.0407717324656164D-13 log_rel_run_E_err -10.1999160332492451 170 7.130254 5548.982 -0.167069 -0.167069 1.000000 1.000000 0.710708 0.001429 0.269918 -1.723028 523 1 6.4652E+00 7.130254 -0.018641 -47.258539 -1.721042 -99.000000 0.000000 0.270495 0.008784 0.018721 0.084995 5 3.6798E+07 1.898137 -0.105735 -15.954590 -99.000000 -6.836813 0.000000 0.002813 0.001952 0.018797 0.000E+00 varcontrol rel_E_err 1.9258427355921623D-13 log_rel_run_E_err -10.3186773091849417 (age_target - star_age)/age_sigma 174 694.4465836404 reducing max timestep prior to age target 174 4.5139027936625652D+09 180 7.129857 5514.794 -0.153159 -0.153159 1.000000 1.000000 0.705217 0.004518 0.269284 -1.687693 515 1 7.2570E+00 7.129857 -0.036790 -47.228692 -1.791581 -99.000000 0.000000 0.275533 0.008789 0.018682 0.086435 10 1.2771E+08 1.913403 -0.152769 -15.653560 -99.000000 -6.808169 0.000000 0.000169 0.001954 0.019249 0.000E+00 max increase rel_E_err 1.9457450239724171D-13 log_rel_run_E_err -10.3059361366970990 (age_target - star_age)/age_sigma 181 680.0163421824 reducing max timestep prior to age target 181 4.4201062241854086D+09 (age_target - star_age)/age_sigma 184 665.4443511363 reducing max timestep prior to age target 184 4.3253882823861094D+09 (age_target - star_age)/age_sigma 186 650.2254277405 reducing max timestep prior to age target 186 4.2264652803135214D+09 (age_target - star_age)/age_sigma 187 640.2639506088 reducing max timestep prior to age target 187 4.1617156789569187D+09 (age_target - star_age)/age_sigma 189 615.9912341929 reducing max timestep prior to age target 189 4.0039430222540159D+09 190 7.134890 5530.302 -0.134604 -0.134604 1.000000 1.000000 0.667615 0.004726 0.265684 -1.661564 512 1 7.8947E+00 7.134890 -0.030112 -46.777992 -1.796758 -99.000000 0.000000 0.313037 0.008813 0.018457 0.089203 10 6.4403E+08 1.941268 -0.134535 -99.000000 -99.000000 -6.818707 0.000000 0.000014 0.001961 0.019347 0.000E+00 max_dt rel_E_err 1.8537139606623905D-13 log_rel_run_E_err -10.2910052596998085 (age_target - star_age)/age_sigma 190 603.9186692124 reducing max timestep prior to age target 190 3.9254713498805361D+09 (age_target - star_age)/age_sigma 191 592.0875555315 reducing max timestep prior to age target 191 3.8485691109545259D+09 (age_target - star_age)/age_sigma 192 580.4930641242 reducing max timestep prior to age target 192 3.7732049168070354D+09 (age_target - star_age)/age_sigma 193 569.1304625450 reducing max timestep prior to age target 193 3.6993480065424953D+09 (age_target - star_age)/age_sigma 194 557.9951129974 reducing max timestep prior to age target 194 3.6269682344832458D+09 (age_target - star_age)/age_sigma 195 547.0824704408 reducing max timestep prior to age target 195 3.5560360578651810D+09 (age_target - star_age)/age_sigma 196 536.3880807353 reducing max timestep prior to age target 196 3.4865225247794781D+09 (age_target - star_age)/age_sigma 197 525.9075788239 reducing max timestep prior to age target 197 3.4183992623554888D+09 (age_target - star_age)/age_sigma 198 515.6366869508 reducing max timestep prior to age target 198 3.3516384651799793D+09 (age_target - star_age)/age_sigma 199 505.5712129151 reducing max timestep prior to age target 199 3.2862128839479799D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.143348 5546.434 -0.114037 -0.114037 1.000000 1.000000 0.614124 0.004768 0.260930 -1.641523 517 1 7.8070E+00 7.143348 -0.022356 -46.112486 -1.776374 -99.000000 0.000000 0.366432 0.008838 0.018158 0.092866 10 1.3474E+09 1.976213 -0.113962 -99.000000 -99.000000 -6.831564 0.000000 0.000015 0.001970 0.019444 0.000E+00 max_dt rel_E_err 1.9598017412669366D-13 log_rel_run_E_err -10.2763311375376549 (age_target - star_age)/age_sigma 200 495.7070483601 reducing max timestep prior to age target 200 3.2220958143406210D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 486.0401670962 reducing max timestep prior to age target 201 3.1592610861254091D+09 (age_target - star_age)/age_sigma 202 476.5666234576 reducing max timestep prior to age target 202 3.0976830524745007D+09 (age_target - star_age)/age_sigma 203 467.2825506918 reducing max timestep prior to age target 203 3.0373365794966116D+09 (age_target - star_age)/age_sigma 204 458.1841593813 reducing max timestep prior to age target 204 2.9781970359782791D+09 (age_target - star_age)/age_sigma 205 449.2677358970 reducing max timestep prior to age target 205 2.9202402833303146D+09 (age_target - star_age)/age_sigma 206 440.5296408824 reducing max timestep prior to age target 206 2.8634426657353086D+09 (age_target - star_age)/age_sigma 207 431.9663077680 reducing max timestep prior to age target 207 2.8077810004922028D+09 (age_target - star_age)/age_sigma 208 423.5742413160 reducing max timestep prior to age target 208 2.7532325685539589D+09 (age_target - star_age)/age_sigma 209 415.3500161930 reducing max timestep prior to age target 209 2.6997751052544804D+09 210 7.150775 5559.233 -0.096938 -0.096938 1.000000 1.000000 0.569714 0.004810 0.257019 -1.623750 518 1 7.7192E+00 7.150775 -0.015808 -45.555511 -1.756066 -99.000000 0.000000 0.410765 0.008849 0.017913 0.096233 10 1.9221E+09 2.006655 -0.096863 -15.477469 -99.000000 -6.842526 0.000000 0.000015 0.001978 0.019521 0.000E+00 max_dt rel_E_err 1.9666478271782326D-13 log_rel_run_E_err -10.2617066108467849 (age_target - star_age)/age_sigma 210 407.2902755725 reducing max timestep prior to age target 210 2.6473867912209911D+09 (age_target - star_age)/age_sigma 211 399.3917297643 reducing max timestep prior to age target 211 2.5960462434681711D+09 (age_target - star_age)/age_sigma 212 391.6511548724 reducing max timestep prior to age target 212 2.5457325066704082D+09 (age_target - star_age)/age_sigma 213 384.0653914782 reducing max timestep prior to age target 213 2.4964250446086006D+09 (age_target - star_age)/age_sigma 214 376.6313433520 reducing max timestep prior to age target 214 2.4481037317880287D+09 (age_target - star_age)/age_sigma 215 369.3459761883 reducing max timestep prior to age target 215 2.4007488452238688D+09 (age_target - star_age)/age_sigma 216 362.2063163678 reducing max timestep prior to age target 216 2.3543410563909917D+09 (age_target - star_age)/age_sigma 217 355.2094497438 reducing max timestep prior to age target 217 2.3088614233347721D+09 (age_target - star_age)/age_sigma 218 348.3525204523 reducing max timestep prior to age target 218 2.2642913829396772D+09 (age_target - star_age)/age_sigma 219 341.6327297465 reducing max timestep prior to age target 219 2.2206127433524842D+09 220 7.157212 5569.342 -0.082577 -0.082577 1.000000 1.000000 0.532906 0.004852 0.253864 -1.608155 517 1 7.6315E+00 7.157212 -0.010206 -45.089180 -1.737762 -99.000000 0.000000 0.447514 0.008848 0.017716 0.099285 10 2.3917E+09 2.032903 -0.082503 -15.477469 -99.000000 -6.851826 0.000000 0.000016 0.001984 0.019580 0.000E+00 max_dt rel_E_err 2.0261852760276197D-13 log_rel_run_E_err -10.2479746354645460 (age_target - star_age)/age_sigma 220 335.0473348549 reducing max timestep prior to age target 220 2.1778076765570350D+09 (age_target - star_age)/age_sigma 221 328.5936478612 reducing max timestep prior to age target 221 2.1358587110974951D+09 (age_target - star_age)/age_sigma 222 322.2690346073 reducing max timestep prior to age target 222 2.0947487249471455D+09 (age_target - star_age)/age_sigma 223 316.0709136184 reducing max timestep prior to age target 223 2.0544609385198026D+09 (age_target - star_age)/age_sigma 225 303.9225964803 reducing max timestep prior to age target 225 1.9754968771222110D+09 (age_target - star_age)/age_sigma 226 297.9699210827 reducing max timestep prior to age target 226 1.9368044870373917D+09 (age_target - star_age)/age_sigma 227 292.1362991930 reducing max timestep prior to age target 227 1.8988859447542682D+09 (age_target - star_age)/age_sigma 228 286.4193497410 reducing max timestep prior to age target 228 1.8617257733168073D+09 (age_target - star_age)/age_sigma 229 280.8167392782 reducing max timestep prior to age target 229 1.8253088053080959D+09 230 7.162811 5577.448 -0.070392 -0.070392 1.000000 1.000000 0.502083 0.004893 0.251229 -1.594444 516 1 7.5525E+00 7.162811 -0.005378 -44.694132 -1.721451 -99.000000 0.000000 0.478290 0.008838 0.017550 0.102049 10 2.7799E+09 2.055656 -0.070321 -99.000000 -99.000000 -6.859791 0.000000 0.000017 0.001990 0.019627 0.000E+00 max_dt rel_E_err 1.8647688169296380D-13 log_rel_run_E_err -10.2348942121996842 (age_target - star_age)/age_sigma 230 275.3261810245 reducing max timestep prior to age target 230 1.7896201766595583D+09 (age_target - star_age)/age_sigma 231 269.9454339360 reducing max timestep prior to age target 231 1.7546453205839915D+09 (age_target - star_age)/age_sigma 232 264.6723017892 reducing max timestep prior to age target 232 1.7203699616299362D+09 (age_target - star_age)/age_sigma 233 259.5046322854 reducing max timestep prior to age target 233 1.6867801098549623D+09 (age_target - star_age)/age_sigma 234 254.4403161716 reducing max timestep prior to age target 234 1.6538620551154876D+09 (age_target - star_age)/age_sigma 235 249.4772863801 reducing max timestep prior to age target 235 1.6216023614708023D+09 (age_target - star_age)/age_sigma 236 244.6135171845 reducing max timestep prior to age target 236 1.5899878616990108D+09 (age_target - star_age)/age_sigma 237 239.8470233727 reducing max timestep prior to age target 237 1.5590056519226551D+09 (age_target - star_age)/age_sigma 238 235.1758594372 reducing max timestep prior to age target 238 1.5286430863418269D+09 (age_target - star_age)/age_sigma 239 230.5981187804 reducing max timestep prior to age target 239 1.4988877720726147D+09 240 7.167627 5583.540 -0.060137 -0.060137 1.000000 1.000000 0.476383 0.004933 0.249061 -1.582557 514 1 7.4648E+00 7.167627 -0.001200 -44.360991 -1.707160 -99.000000 0.000000 0.503953 0.008821 0.017413 0.104514 10 3.0998E+09 2.075170 -0.060067 -15.954590 -99.000000 -6.866510 0.000000 0.000017 0.001994 0.019664 0.000E+00 max_dt rel_E_err 1.8571497738359454D-13 log_rel_run_E_err -10.2223155991170955 (age_target - star_age)/age_sigma 240 226.1119329367 reducing max timestep prior to age target 240 1.4697275640887871D+09 (age_target - star_age)/age_sigma 241 221.7154708099 reducing max timestep prior to age target 241 1.4411505602646356D+09 (age_target - star_age)/age_sigma 242 217.4069379257 reducing max timestep prior to age target 242 1.4131450965169678D+09 (age_target - star_age)/age_sigma 243 213.1845756991 reducing max timestep prior to age target 243 1.3856997420442529D+09 (age_target - star_age)/age_sigma 244 209.0466607171 reducing max timestep prior to age target 244 1.3588032946609921D+09 (age_target - star_age)/age_sigma 245 204.9915040347 reducing max timestep prior to age target 245 1.3324447762253971D+09 (age_target - star_age)/age_sigma 246 201.0174504859 reducing max timestep prior to age target 246 1.3066134281585135D+09 (age_target - star_age)/age_sigma 247 197.1228780081 reducing max timestep prior to age target 247 1.2812987070529675D+09 (age_target - star_age)/age_sigma 248 193.3061969799 reducing max timestep prior to age target 248 1.2564902803695326D+09 (age_target - star_age)/age_sigma 249 189.5658495723 reducing max timestep prior to age target 249 1.2321780222197666D+09 250 7.171704 5588.655 -0.051594 -0.051594 1.000000 1.000000 0.455166 0.004972 0.247296 -1.572440 515 1 7.3771E+00 7.171704 0.002275 -44.083193 -1.694852 -99.000000 0.000000 0.525142 0.008800 0.017300 0.106670 10 3.3611E+09 2.091644 -0.051526 -99.000000 -99.000000 -6.872181 0.000000 0.000017 0.001997 0.019693 0.000E+00 max_dt rel_E_err 1.8330178489253431D-13 log_rel_run_E_err -10.2095649213352218 (age_target - star_age)/age_sigma 250 185.9003091128 reducing max timestep prior to age target 250 1.2083520092329960D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 182.3080794625 reducing max timestep prior to age target 251 1.1850025165059609D+09 (age_target - star_age)/age_sigma 252 178.7876944051 reducing max timestep prior to age target 252 1.1621200136334662D+09 (age_target - star_age)/age_sigma 253 175.3377170490 reducing max timestep prior to age target 253 1.1396951608184214D+09 (age_target - star_age)/age_sigma 254 171.9567392400 reducing max timestep prior to age target 254 1.1177188050596771D+09 (age_target - star_age)/age_sigma 255 168.6433809871 reducing max timestep prior to age target 255 1.0961819764161081D+09 (age_target - star_age)/age_sigma 256 165.3962898993 reducing max timestep prior to age target 256 1.0750758843454108D+09 (age_target - star_age)/age_sigma 257 162.2141406333 reducing max timestep prior to age target 257 1.0543919141161270D+09 (age_target - star_age)/age_sigma 259 155.9771280718 reducing max timestep prior to age target 259 1.0138513324667311D+09 260 7.175149 5592.717 -0.044485 -0.044485 1.000000 1.000000 0.437606 0.005009 0.245885 -1.563843 516 1 7.2981E+00 7.175149 0.005198 -43.851380 -1.684315 -99.000000 0.000000 0.542679 0.008777 0.017209 0.108544 10 3.5755E+09 2.105540 -0.044419 -99.000000 -99.000000 -6.876890 0.000000 0.000018 0.002000 0.019715 0.000E+00 max_dt rel_E_err 1.8694088997664102D-13 log_rel_run_E_err -10.1973683718576371 (age_target - star_age)/age_sigma 260 152.9209919167 reducing max timestep prior to age target 260 9.9398644745852709D+08 (age_target - star_age)/age_sigma 261 149.9259784847 reducing max timestep prior to age target 261 9.7451886015048695D+08 (age_target - star_age)/age_sigma 262 146.9908653213 reducing max timestep prior to age target 262 9.5544062458860779D+08 (age_target - star_age)/age_sigma 263 144.1144544212 reducing max timestep prior to age target 263 9.3674395373796654D+08 (age_target - star_age)/age_sigma 264 141.2955717391 reducing max timestep prior to age target 264 9.1842121630433750D+08 (age_target - star_age)/age_sigma 265 138.5330667107 reducing max timestep prior to age target 265 9.0046493361938143D+08 (age_target - star_age)/age_sigma 266 135.8258117828 reducing max timestep prior to age target 266 8.8286777658812428D+08 (age_target - star_age)/age_sigma 267 133.1727019535 reducing max timestep prior to age target 267 8.6562256269749212D+08 (age_target - star_age)/age_sigma 268 130.5726543207 reducing max timestep prior to age target 268 8.4872225308467293D+08 (age_target - star_age)/age_sigma 269 128.0246076406 reducing max timestep prior to age target 269 8.3215994966411018D+08 270 7.178084 5595.967 -0.038501 -0.038501 1.000000 1.000000 0.422904 0.005043 0.244735 -1.556485 520 1 7.2103E+00 7.178084 0.007684 -43.655832 -1.675234 -99.000000 0.000000 0.557364 0.008753 0.017136 0.110180 10 3.7536E+09 2.117367 -0.038437 -99.000000 -99.000000 -6.880874 0.000000 0.000018 0.002002 0.019732 0.000E+00 max_dt rel_E_err 1.8718839836136207D-13 log_rel_run_E_err -10.1851456626219417 (age_target - star_age)/age_sigma 270 125.5275218941 reducing max timestep prior to age target 270 8.1592889231195879D+08 (age_target - star_age)/age_sigma 271 123.0803778626 reducing max timestep prior to age target 271 8.0002245610685015D+08 (age_target - star_age)/age_sigma 272 120.6821767117 reducing max timestep prior to age target 272 7.8443414862584400D+08 (age_target - star_age)/age_sigma 273 118.3319395838 reducing max timestep prior to age target 273 7.6915760729445744D+08 (age_target - star_age)/age_sigma 274 116.0287071984 reducing max timestep prior to age target 274 7.5418659678969860D+08 (age_target - star_age)/age_sigma 275 113.7715394608 reducing max timestep prior to age target 275 7.3951500649503517D+08 (age_target - star_age)/age_sigma 276 111.5595150779 reducing max timestep prior to age target 276 7.2513684800626516D+08 (age_target - star_age)/age_sigma 277 109.3917311827 reducing max timestep prior to age target 277 7.1104625268727064D+08 (age_target - star_age)/age_sigma 278 107.2673029653 reducing max timestep prior to age target 278 6.9723746927465582D+08 (age_target - star_age)/age_sigma 279 105.1853633124 reducing max timestep prior to age target 279 6.8370486153029346D+08 280 7.180535 5598.566 -0.033566 -0.033566 1.000000 1.000000 0.410807 0.005075 0.243763 -1.550325 520 1 7.1226E+00 7.180535 0.009748 -43.493887 -1.667588 -99.000000 0.000000 0.569447 0.008729 0.017074 0.111575 10 3.8991E+09 2.127230 -0.033504 -15.255620 -99.000000 -6.884146 0.000000 0.000019 0.002004 0.019746 0.000E+00 max_dt rel_E_err 1.8811197467712097D-13 log_rel_run_E_err -10.1730214535855286 (age_target - star_age)/age_sigma 280 103.1450624524 reducing max timestep prior to age target 280 6.7044290594081783D+08 (age_target - star_age)/age_sigma 281 101.1455676097 reducing max timestep prior to age target 281 6.5744618946313190D+08 (age_target - star_age)/age_sigma 282 99.1860626638 reducing max timestep prior to age target 282 6.4470940731500006D+08 (age_target - star_age)/age_sigma 283 97.2657478169 reducing max timestep prior to age target 283 6.3222736080983019D+08 (age_target - star_age)/age_sigma 284 95.3838392669 reducing max timestep prior to age target 284 6.1999495523476458D+08 (age_target - star_age)/age_sigma 285 93.5395688879 reducing max timestep prior to age target 285 6.0800719777119970D+08 (age_target - star_age)/age_sigma 286 91.7321839164 reducing max timestep prior to age target 286 5.9625919545690632D+08 (age_target - star_age)/age_sigma 287 89.9609466444 reducing max timestep prior to age target 287 5.8474615318889856D+08 (age_target - star_age)/age_sigma 288 88.2251341179 reducing max timestep prior to age target 288 5.7346337176625109D+08 (age_target - star_age)/age_sigma 289 86.5240378419 reducing max timestep prior to age target 289 5.6240624597205687D+08 290 7.182575 5600.636 -0.029500 -0.029500 1.000000 1.000000 0.400865 0.005103 0.242956 -1.545185 520 1 7.0349E+00 7.182575 0.011459 -43.360038 -1.661179 -99.000000 0.000000 0.579379 0.008707 0.017022 0.112755 6 4.0179E+09 2.135431 -0.029439 -99.000000 -99.000000 -6.886855 0.000000 0.000019 0.002006 0.019756 0.000E+00 max_dt rel_E_err 1.8073080060899742D-13 log_rel_run_E_err -10.1611877732719158 (age_target - star_age)/age_sigma 290 84.8569634913 reducing max timestep prior to age target 290 5.5157026269374609D+08 (age_target - star_age)/age_sigma 291 83.2232306278 reducing max timestep prior to age target 291 5.4095099908100176D+08 (age_target - star_age)/age_sigma 292 81.6221724216 reducing max timestep prior to age target 292 5.3054412074051237D+08 (age_target - star_age)/age_sigma 294 78.4840983374 reducing max timestep prior to age target 294 5.1014663919315338D+08 (age_target - star_age)/age_sigma 295 76.9464420361 reducing max timestep prior to age target 295 5.0015187323494720D+08 (age_target - star_age)/age_sigma 296 75.4395388609 reducing max timestep prior to age target 296 4.9035700259590530D+08 (age_target - star_age)/age_sigma 297 73.9627737492 reducing max timestep prior to age target 297 4.8075802936964417D+08 (age_target - star_age)/age_sigma 298 72.5155439397 reducing max timestep prior to age target 298 4.7135103560790825D+08 (age_target - star_age)/age_sigma 299 71.0972587264 reducing max timestep prior to age target 299 4.6213218172140694D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.184291 5602.310 -0.026110 -0.026110 1.000000 1.000000 0.392587 0.005127 0.242298 -1.540864 520 1 6.9559E+00 7.184291 0.012894 -43.248056 -1.655758 -99.000000 0.000000 0.587649 0.008687 0.016980 0.113763 5 4.1164E+09 2.142319 -0.026050 -99.000000 -99.000000 -6.889110 0.000000 0.000019 0.002007 0.019764 0.000E+00 max_dt rel_E_err 1.8512229402997492D-13 log_rel_run_E_err -10.1498001731872822 (age_target - star_age)/age_sigma 300 69.7073392173 reducing max timestep prior to age target 300 4.5309770491263580D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 68.3452180985 reducing max timestep prior to age target 301 4.4424391764003992D+08 (age_target - star_age)/age_sigma 302 67.0103394020 reducing max timestep prior to age target 302 4.3556720611289644D+08 (age_target - star_age)/age_sigma 303 65.7021582794 reducing max timestep prior to age target 303 4.2706402881629515D+08 (age_target - star_age)/age_sigma 304 64.4201407793 reducing max timestep prior to age target 304 4.1873091506562614D+08 (age_target - star_age)/age_sigma 305 63.1637636292 reducing max timestep prior to age target 305 4.1056446358997107D+08 (age_target - star_age)/age_sigma 306 61.9325140221 reducing max timestep prior to age target 306 4.0256134114382839D+08 (age_target - star_age)/age_sigma 307 60.7258894072 reducing max timestep prior to age target 307 3.9471828114660883D+08 (age_target - star_age)/age_sigma 308 59.5433972845 reducing max timestep prior to age target 308 3.8703208234933376D+08 (age_target - star_age)/age_sigma 309 58.3845550043 reducing max timestep prior to age target 309 3.7949960752800369D+08 310 7.185720 5603.655 -0.023307 -0.023307 1.000000 1.000000 0.385750 0.005149 0.241764 -1.537274 520 1 6.8682E+00 7.185720 0.014087 -43.155198 -1.651222 -99.000000 0.000000 0.594480 0.008669 0.016946 0.114611 5 4.1974E+09 2.148044 -0.023248 -15.954590 -99.000000 -6.890973 0.000000 0.000019 0.002008 0.019771 0.000E+00 max_dt rel_E_err 1.9934536968974034D-13 log_rel_run_E_err -10.1387151314474071 (age_target - star_age)/age_sigma 310 57.2488895697 reducing max timestep prior to age target 310 3.7211778220310020D+08 (age_target - star_age)/age_sigma 311 56.1359374438 reducing max timestep prior to age target 311 3.6488359338469553D+08 (age_target - star_age)/age_sigma 312 55.0452443604 reducing max timestep prior to age target 312 3.5779408834265804D+08 (age_target - star_age)/age_sigma 313 53.9763651387 reducing max timestep prior to age target 313 3.5084637340146208D+08 (age_target - star_age)/age_sigma 314 52.9288635014 reducing max timestep prior to age target 314 3.4403761275908995D+08 (age_target - star_age)/age_sigma 315 51.9023118969 reducing max timestep prior to age target 315 3.3736502732956505D+08 (age_target - star_age)/age_sigma 316 50.8962913244 reducing max timestep prior to age target 316 3.3082589360863066D+08 (age_target - star_age)/age_sigma 317 49.9103911634 reducing max timestep prior to age target 317 3.2441754256211519D+08 (age_target - star_age)/age_sigma 318 48.9442090056 reducing max timestep prior to age target 318 3.1813735853653002D+08 (age_target - star_age)/age_sigma 319 47.9973504910 reducing max timestep prior to age target 319 3.1198277819145632D+08 320 7.186900 5604.733 -0.021006 -0.021006 1.000000 1.000000 0.380143 0.005168 0.241331 -1.534308 520 1 6.7804E+00 7.186900 0.015069 -43.078826 -1.647462 -99.000000 0.000000 0.600081 0.008652 0.016919 0.115319 5 4.2635E+09 2.152766 -0.020948 -99.000000 -99.000000 -6.892503 0.000000 0.000019 0.002009 0.019776 0.000E+00 max_dt rel_E_err 1.8989062294956958D-13 log_rel_run_E_err -10.1279251313801897 (age_target - star_age)/age_sigma 320 47.0694291467 reducing max timestep prior to age target 320 3.0595128945328426D+08 (age_target - star_age)/age_sigma 321 46.1600662292 reducing max timestep prior to age target 321 3.0004043048987532D+08 (age_target - star_age)/age_sigma 322 45.2688905701 reducing max timestep prior to age target 322 2.9424778870573473D+08 (age_target - star_age)/age_sigma 323 44.3955384242 reducing max timestep prior to age target 323 2.8857099975727701D+08 (age_target - star_age)/age_sigma 324 43.5396533212 reducing max timestep prior to age target 324 2.8300774658778811D+08 (age_target - star_age)/age_sigma 325 42.7008859203 reducing max timestep prior to age target 325 2.7755575848168945D+08 (age_target - star_age)/age_sigma 326 41.8788938673 reducing max timestep prior to age target 326 2.7221281013771248D+08 (age_target - star_age)/age_sigma 327 41.0733416555 reducing max timestep prior to age target 327 2.6697672076061535D+08 (age_target - star_age)/age_sigma 329 39.4944593202 reducing max timestep prior to age target 329 2.5671398558150482D+08 330 7.187876 5605.604 -0.019113 -0.019113 1.000000 1.000000 0.375531 0.005184 0.240978 -1.531857 520 1 6.7015E+00 7.187876 0.015881 -43.015829 -1.644342 -99.000000 0.000000 0.604689 0.008638 0.016896 0.115910 5 4.3178E+09 2.156668 -0.019055 -99.000000 -99.000000 -6.893761 0.000000 0.000020 0.002009 0.019780 0.000E+00 max_dt rel_E_err 1.8877236231700617D-13 log_rel_run_E_err -10.1174018494868996 (age_target - star_age)/age_sigma 330 38.7208069760 reducing max timestep prior to age target 330 2.5168524534374046D+08 (age_target - star_age)/age_sigma 331 37.9626276786 reducing max timestep prior to age target 331 2.4675707991073227D+08 (age_target - star_age)/age_sigma 332 37.2196119671 reducing max timestep prior to age target 332 2.4192747778638363D+08 (age_target - star_age)/age_sigma 333 36.4914565699 reducing max timestep prior to age target 333 2.3719446770452118D+08 (age_target - star_age)/age_sigma 334 35.7778642807 reducing max timestep prior to age target 334 2.3255611782429695D+08 (age_target - star_age)/age_sigma 335 35.0785438372 reducing max timestep prior to age target 335 2.2801053494167709D+08 (age_target - star_age)/age_sigma 336 34.3932098026 reducing max timestep prior to age target 336 2.2355586371670914D+08 (age_target - star_age)/age_sigma 337 33.7215824487 reducing max timestep prior to age target 337 2.1919028591624069D+08 (age_target - star_age)/age_sigma 338 33.0633876418 reducing max timestep prior to age target 338 2.1491201967178154D+08 (age_target - star_age)/age_sigma 339 32.4183567311 reducing max timestep prior to age target 339 2.1071931875221157D+08 340 7.188692 5606.316 -0.017535 -0.017535 1.000000 1.000000 0.371690 0.005197 0.240686 -1.529808 520 1 6.6137E+00 7.188692 0.016559 -42.963254 -1.641724 -99.000000 0.000000 0.608527 0.008626 0.016877 0.116407 5 4.3629E+09 2.159929 -0.017479 -99.000000 -99.000000 -6.894808 0.000000 0.000020 0.002010 0.019783 0.000E+00 max_dt rel_E_err 1.9235532489537117D-13 log_rel_run_E_err -10.1071714550400706 (age_target - star_age)/age_sigma 340 31.7862264386 reducing max timestep prior to age target 340 2.0661047185103321D+08 (age_target - star_age)/age_sigma 341 31.1667387520 reducing max timestep prior to age target 341 2.0258380188787937D+08 (age_target - star_age)/age_sigma 342 30.5596408191 reducing max timestep prior to age target 342 1.9863766532398701D+08 (age_target - star_age)/age_sigma 343 29.9646848448 reducing max timestep prior to age target 343 1.9477045149137306D+08 (age_target - star_age)/age_sigma 344 29.3816279901 reducing max timestep prior to age target 344 1.9098058193541145D+08 (age_target - star_age)/age_sigma 345 28.8102322724 reducing max timestep prior to age target 345 1.8726650977056885D+08 (age_target - star_age)/age_sigma 346 28.2502644691 reducing max timestep prior to age target 346 1.8362671904902363D+08 (age_target - star_age)/age_sigma 347 27.7014960218 reducing max timestep prior to age target 347 1.8005972414190960D+08 (age_target - star_age)/age_sigma 348 27.1637029435 reducing max timestep prior to age target 348 1.7656406913293648D+08 (age_target - star_age)/age_sigma 349 26.6366657268 reducing max timestep prior to age target 349 1.7313832722414398D+08 350 7.189363 5606.890 -0.016243 -0.016243 1.000000 1.000000 0.368546 0.005209 0.240449 -1.528125 520 1 6.5260E+00 7.189363 0.017115 -42.920127 -1.639568 -99.000000 0.000000 0.611669 0.008616 0.016862 0.116819 5 4.3997E+09 2.162607 -0.016188 -15.255620 -99.000000 -6.895666 0.000000 0.000020 0.002010 0.019786 0.000E+00 max_dt rel_E_err 1.9381282938681005D-13 log_rel_run_E_err -10.0971880238655309 (age_target - star_age)/age_sigma 350 26.1201692544 reducing max timestep prior to age target 350 1.6978110015352726D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.6140027114 reducing max timestep prior to age target 351 1.6649101762432194D+08 (age_target - star_age)/age_sigma 352 25.1179594993 reducing max timestep prior to age target 352 1.6326673674570179D+08 (age_target - star_age)/age_sigma 353 24.6318371515 reducing max timestep prior to age target 353 1.6010694148465347D+08 (age_target - star_age)/age_sigma 354 24.1554372506 reducing max timestep prior to age target 354 1.5701034212882614D+08 (age_target - star_age)/age_sigma 355 23.6885653477 reducing max timestep prior to age target 355 1.5397567476011658D+08 (age_target - star_age)/age_sigma 356 23.2310308829 reducing max timestep prior to age target 356 1.5100170073878002D+08 (age_target - star_age)/age_sigma 357 22.7826471074 reducing max timestep prior to age target 357 1.4808720619787025D+08 (age_target - star_age)/age_sigma 358 22.3432310074 reducing max timestep prior to age target 358 1.4523100154777813D+08 (age_target - star_age)/age_sigma 359 21.9126032293 reducing max timestep prior to age target 359 1.4243192099068832D+08 360 7.189914 5607.355 -0.015186 -0.015186 1.000000 1.000000 0.365972 0.005219 0.240256 -1.526743 520 1 6.4382E+00 7.189914 0.017572 -42.884774 -1.637795 -99.000000 0.000000 0.614240 0.008607 0.016850 0.117158 5 4.4298E+09 2.164805 -0.015130 -99.000000 -99.000000 -6.896368 0.000000 0.000020 0.002011 0.019788 0.000E+00 max_dt rel_E_err 1.8376455132565671D-13 log_rel_run_E_err -10.0873723065332754 (age_target - star_age)/age_sigma 360 21.4905880069 reducing max timestep prior to age target 360 1.3968882204474068D+08 (age_target - star_age)/age_sigma 361 21.0770130889 reducing max timestep prior to age target 361 1.3700058507771206D+08 (age_target - star_age)/age_sigma 363 20.2664062496 reducing max timestep prior to age target 363 1.3173164062233543D+08 (age_target - star_age)/age_sigma 364 19.8692088983 reducing max timestep prior to age target 364 1.2914985783920002D+08 (age_target - star_age)/age_sigma 365 19.4799554941 reducing max timestep prior to age target 365 1.2661971071172905D+08 (age_target - star_age)/age_sigma 366 19.0984871580 reducing max timestep prior to age target 366 1.2414016652680588D+08 (age_target - star_age)/age_sigma 367 18.7246481886 reducing max timestep prior to age target 367 1.2171021322558212D+08 (age_target - star_age)/age_sigma 368 18.3582859985 reducing max timestep prior to age target 368 1.1932885899038219D+08 (age_target - star_age)/age_sigma 369 17.9992510523 reducing max timestep prior to age target 369 1.1699513183988667D+08 370 7.190373 5607.738 -0.014306 -0.014306 1.000000 1.000000 0.363832 0.005227 0.240097 -1.525591 520 1 6.3593E+00 7.190373 0.017952 -42.855351 -1.636315 -99.000000 0.000000 0.616378 0.008599 0.016840 0.117442 5 4.4548E+09 2.166637 -0.014251 -99.000000 -99.000000 -6.896952 0.000000 0.000020 0.002011 0.019790 0.000E+00 max_dt rel_E_err 1.8502107815831691D-13 log_rel_run_E_err -10.0777707202019133 (age_target - star_age)/age_sigma 370 17.6473968050 reducing max timestep prior to age target 370 1.1470807923240185D+08 (age_target - star_age)/age_sigma 371 17.3025796426 reducing max timestep prior to age target 371 1.1246676767706585D+08 (age_target - star_age)/age_sigma 372 16.9646588235 reducing max timestep prior to age target 372 1.1027028235283661D+08 (age_target - star_age)/age_sigma 373 16.6334964208 reducing max timestep prior to age target 373 1.0811772673509121D+08 (age_target - star_age)/age_sigma 374 16.3089572661 reducing max timestep prior to age target 374 1.0600822222970200D+08 (age_target - star_age)/age_sigma 375 15.9909088945 reducing max timestep prior to age target 375 1.0394090781442070D+08 (age_target - star_age)/age_sigma 376 15.6792214904 reducing max timestep prior to age target 376 1.0191493968744373D+08 (age_target - star_age)/age_sigma 377 15.3737678343 reducing max timestep prior to age target 377 9.9929490923007011D+07 (age_target - star_age)/age_sigma 378 15.0744232514 reducing max timestep prior to age target 378 9.7983751133858681D+07 (age_target - star_age)/age_sigma 379 14.7810655601 reducing max timestep prior to age target 379 9.6076926140493393D+07 380 7.190751 5608.051 -0.013584 -0.013584 1.000000 1.000000 0.362074 0.005234 0.239964 -1.524641 520 1 6.2715E+00 7.190751 0.018265 -42.831153 -1.635094 -99.000000 0.000000 0.618135 0.008593 0.016831 0.117677 5 4.4753E+09 2.168144 -0.013529 -15.477469 -99.000000 -6.897431 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.8564203018465753D-13 log_rel_run_E_err -10.0684842996880697 (age_target - star_age)/age_sigma 380 14.4935750226 reducing max timestep prior to age target 380 9.4208237646996498D+07 (age_target - star_age)/age_sigma 381 14.2118342959 reducing max timestep prior to age target 381 9.2376922923368454D+07 (age_target - star_age)/age_sigma 382 13.9357283837 reducing max timestep prior to age target 382 9.0582234494213104D+07 (age_target - star_age)/age_sigma 383 13.6651445898 reducing max timestep prior to age target 383 8.8823439833642006D+07 (age_target - star_age)/age_sigma 384 13.3999724717 reducing max timestep prior to age target 384 8.7099821066280365D+07 (age_target - star_age)/age_sigma 385 13.1401037960 reducing max timestep prior to age target 385 8.5410674674266815D+07 (age_target - star_age)/age_sigma 386 12.8854324939 reducing max timestep prior to age target 386 8.3755311210094452D+07 (age_target - star_age)/age_sigma 387 12.6358546177 reducing max timestep prior to age target 387 8.2133055015204430D+07 (age_target - star_age)/age_sigma 388 12.3912682991 reducing max timestep prior to age target 388 8.0543243944211960D+07 (age_target - star_age)/age_sigma 389 12.1515737069 reducing max timestep prior to age target 389 7.8985229094639778D+07 390 7.191060 5608.306 -0.012992 -0.012992 1.000000 1.000000 0.360636 0.005239 0.239848 -1.523864 520 1 6.1838E+00 7.191060 0.018521 -42.811342 -1.634093 -99.000000 0.000000 0.619572 0.008588 0.016824 0.117870 5 4.4920E+09 2.169379 -0.012937 -99.000000 -99.000000 -6.897826 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.7624966880547355D-13 log_rel_run_E_err -10.0591601494972043 (age_target - star_age)/age_sigma 390 11.9166730065 reducing max timestep prior to age target 390 7.7458374542058945D+07 (age_target - star_age)/age_sigma 391 11.6864703201 reducing max timestep prior to age target 391 7.5962057080530167D+07 (age_target - star_age)/age_sigma 392 11.4608716874 reducing max timestep prior to age target 392 7.4495665968231201D+07 (age_target - star_age)/age_sigma 393 11.2397850274 reducing max timestep prior to age target 393 7.3058602678178787D+07 (age_target - star_age)/age_sigma 394 11.0231201006 reducing max timestep prior to age target 394 7.1650280653927803D+07 (age_target - star_age)/age_sigma 395 10.8107884723 reducing max timestep prior to age target 395 7.0270125070160866D+07 (age_target - star_age)/age_sigma 396 10.6027034766 reducing max timestep prior to age target 396 6.8917572598070145D+07 (age_target - star_age)/age_sigma 397 10.3987801808 reducing max timestep prior to age target 397 6.7592071175420761D+07 (age_target - star_age)/age_sigma 399 9.9990905211 reducing max timestep prior to age target 399 6.4994088387027740D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.191315 5608.514 -0.012506 -0.012506 1.000000 1.000000 0.359456 0.005244 0.239754 -1.523225 520 1 6.1048E+00 7.191315 0.018732 -42.795071 -1.633270 -99.000000 0.000000 0.620751 0.008584 0.016818 0.118028 5 4.5058E+09 2.170394 -0.012452 -15.255620 -99.000000 -6.898149 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.8753250852512233D-13 log_rel_run_E_err -10.0501994382210604 (age_target - star_age)/age_sigma 400 9.8032425878 reducing max timestep prior to age target 400 6.3721076820715904D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.6113116132 reducing max timestep prior to age target 401 6.2473525485730171D+07 (age_target - star_age)/age_sigma 402 9.4232192581 reducing max timestep prior to age target 402 6.1250925177443504D+07 (age_target - star_age)/age_sigma 403 9.2388887500 reducing max timestep prior to age target 403 6.0052776875322342D+07 (age_target - star_age)/age_sigma 404 9.0582448522 reducing max timestep prior to age target 404 5.8878591539243698D+07 (age_target - star_age)/age_sigma 405 8.8812138323 reducing max timestep prior to age target 405 5.7727889909887314D+07 (age_target - star_age)/age_sigma 406 8.7077234328 reducing max timestep prior to age target 406 5.6600202313117981D+07 (age_target - star_age)/age_sigma 407 8.5377028413 reducing max timestep prior to age target 407 5.5495068468283653D+07 (age_target - star_age)/age_sigma 408 8.3710826616 reducing max timestep prior to age target 408 5.4412037300345421D+07 (age_target - star_age)/age_sigma 409 8.2077948855 reducing max timestep prior to age target 409 5.3350666755766869D+07 410 7.191527 5608.687 -0.012103 -0.012103 1.000000 1.000000 0.358475 0.005248 0.239676 -1.522693 520 1 6.0171E+00 7.191527 0.018907 -42.781538 -1.632584 -99.000000 0.000000 0.621731 0.008580 0.016813 0.118161 3 4.5172E+09 2.171238 -0.012048 -15.954590 -99.000000 -6.898418 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.9284950093094131D-13 log_rel_run_E_err -10.0412990202853987 (age_target - star_age)/age_sigma 410 8.0477728649 reducing max timestep prior to age target 410 5.2310523622079849D+07 (age_target - star_age)/age_sigma 411 7.8909512848 reducing max timestep prior to age target 411 5.1291183351066589D+07 (age_target - star_age)/age_sigma 412 7.7372661362 reducing max timestep prior to age target 412 5.0292229885473251D+07 (age_target - star_age)/age_sigma 413 7.5866546906 reducing max timestep prior to age target 413 4.9313255489192009D+07 (age_target - star_age)/age_sigma 414 7.4390554740 reducing max timestep prior to age target 414 4.8353860580836296D+07 (age_target - star_age)/age_sigma 415 7.2944082416 reducing max timestep prior to age target 415 4.7413653570648193D+07 (age_target - star_age)/age_sigma 416 7.1526539539 reducing max timestep prior to age target 416 4.6492250700663567D+07 (age_target - star_age)/age_sigma 417 7.0137347520 reducing max timestep prior to age target 417 4.5589275888078690D+07 (age_target - star_age)/age_sigma 418 6.8775939341 reducing max timestep prior to age target 418 4.4704360571744919D+07 (age_target - star_age)/age_sigma 419 6.7441759326 reducing max timestep prior to age target 419 4.3837143561738968D+07 420 7.191700 5608.827 -0.011773 -0.011773 1.000000 1.000000 0.357673 0.005251 0.239612 -1.522258 520 1 5.9294E+00 7.191700 0.019050 -42.770470 -1.632022 -99.000000 0.000000 0.622533 0.008577 0.016809 0.118269 3 4.5265E+09 2.171929 -0.011718 -15.954590 -99.000000 -6.898638 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.8730065127503575D-13 log_rel_run_E_err -10.0325060566585815 (age_target - star_age)/age_sigma 420 6.6134262911 reducing max timestep prior to age target 420 4.2987270891931534D+07 (age_target - star_age)/age_sigma 421 6.4852916424 reducing max timestep prior to age target 421 4.2154395675521851D+07 (age_target - star_age)/age_sigma 422 6.3597196867 reducing max timestep prior to age target 422 4.1338177963439941D+07 (age_target - star_age)/age_sigma 423 6.2366591701 reducing max timestep prior to age target 423 4.0538284605598450D+07 (age_target - star_age)/age_sigma 424 6.1160598638 reducing max timestep prior to age target 424 3.9754389114914894D+07 (age_target - star_age)/age_sigma 425 5.9978725437 reducing max timestep prior to age target 425 3.8986171534045219D+07 (age_target - star_age)/age_sigma 426 5.8820489700 reducing max timestep prior to age target 426 3.8233318304792404D+07 (age_target - star_age)/age_sigma 427 5.7685418677 reducing max timestep prior to age target 427 3.7495522140124321D+07 (age_target - star_age)/age_sigma 428 5.6573049075 reducing max timestep prior to age target 428 3.6772481898750305D+07 (age_target - star_age)/age_sigma 429 5.5482926865 reducing max timestep prior to age target 429 3.6063902462203026D+07 430 7.191842 5608.941 -0.011503 -0.011503 1.000000 1.000000 0.357018 0.005254 0.239560 -1.521902 520 1 5.8416E+00 7.191842 0.019167 -42.761418 -1.631563 -99.000000 0.000000 0.623188 0.008575 0.016806 0.118358 3 4.5341E+09 2.172494 -0.011449 -15.653560 -99.000000 -6.898818 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9837373315675731D-13 log_rel_run_E_err -10.0238935599915617 (age_target - star_age)/age_sigma 430 5.4414607099 reducing max timestep prior to age target 430 3.5369494614387512D+07 (age_target - star_age)/age_sigma 431 5.3367653729 reducing max timestep prior to age target 431 3.4688974923527718D+07 (age_target - star_age)/age_sigma 433 5.1315625122 reducing max timestep prior to age target 433 3.3355156329442978D+07 (age_target - star_age)/age_sigma 434 5.0310131105 reducing max timestep prior to age target 434 3.2701585218340874D+07 (age_target - star_age)/age_sigma 435 4.9323657946 reducing max timestep prior to age target 435 3.2060377665040016D+07 (age_target - star_age)/age_sigma 436 4.8337184787 reducing max timestep prior to age target 436 3.1419170111739159D+07 (age_target - star_age)/age_sigma 437 4.7350711628 reducing max timestep prior to age target 437 3.0777962558438301D+07 (age_target - star_age)/age_sigma 438 4.6364238469 reducing max timestep prior to age target 438 3.0136755005137444D+07 (age_target - star_age)/age_sigma 439 4.5377765311 reducing max timestep prior to age target 439 2.9495547451836586D+07 440 7.191963 5609.040 -0.011272 -0.011272 1.000000 1.000000 0.356457 0.005256 0.239516 -1.521598 520 1 5.8070E+00 7.191963 0.019267 -42.753672 -1.631169 -99.000000 0.000000 0.623748 0.008572 0.016803 0.118435 3 4.5406E+09 2.172978 -0.011218 -99.000000 -99.000000 -6.898971 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9005781684443401D-13 log_rel_run_E_err -10.0155187521275426 (age_target - star_age)/age_sigma 440 4.4391292152 reducing max timestep prior to age target 440 2.8854339898535728D+07 (age_target - star_age)/age_sigma 441 4.3404818993 reducing max timestep prior to age target 441 2.8213132345234871D+07 (age_target - star_age)/age_sigma 442 4.2418345834 reducing max timestep prior to age target 442 2.7571924791934013D+07 (age_target - star_age)/age_sigma 443 4.1431872675 reducing max timestep prior to age target 443 2.6930717238633156D+07 (age_target - star_age)/age_sigma 444 4.0445399516 reducing max timestep prior to age target 444 2.6289509685332298D+07 (age_target - star_age)/age_sigma 445 3.9458926357 reducing max timestep prior to age target 445 2.5648302132031441D+07 (age_target - star_age)/age_sigma 446 3.8472453198 reducing max timestep prior to age target 446 2.5007094578730583D+07 (age_target - star_age)/age_sigma 447 3.7485980039 reducing max timestep prior to age target 447 2.4365887025429726D+07 (age_target - star_age)/age_sigma 448 3.6499506880 reducing max timestep prior to age target 448 2.3724679472128868D+07 (age_target - star_age)/age_sigma 449 3.5513033721 reducing max timestep prior to age target 449 2.3083471918828011D+07 450 7.192083 5609.136 -0.011045 -0.011045 1.000000 1.000000 0.355904 0.005258 0.239472 -1.521297 520 1 5.8070E+00 7.192083 0.019366 -42.746042 -1.630781 -99.000000 0.000000 0.624300 0.008570 0.016800 0.118510 3 4.5471E+09 2.173455 -0.010991 -99.000000 -99.000000 -6.899122 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9239565544947227D-13 log_rel_run_E_err -10.0071878811413129 (age_target - star_age)/age_sigma 450 3.4526560562 reducing max timestep prior to age target 450 2.2442264365527153D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.3540087403 reducing max timestep prior to age target 451 2.1801056812226295D+07 (age_target - star_age)/age_sigma 452 3.2553614245 reducing max timestep prior to age target 452 2.1159849258925438D+07 (age_target - star_age)/age_sigma 453 3.1567141086 reducing max timestep prior to age target 453 2.0518641705624580D+07 (age_target - star_age)/age_sigma 454 3.0580667927 reducing max timestep prior to age target 454 1.9877434152323723D+07 (age_target - star_age)/age_sigma 455 2.9594194768 reducing max timestep prior to age target 455 1.9236226599022865D+07 (age_target - star_age)/age_sigma 456 2.8607721609 reducing max timestep prior to age target 456 1.8595019045722008D+07 (age_target - star_age)/age_sigma 457 2.7621248450 reducing max timestep prior to age target 457 1.7953811492421150D+07 (age_target - star_age)/age_sigma 458 2.6634775291 reducing max timestep prior to age target 458 1.7312603939120293D+07 (age_target - star_age)/age_sigma 459 2.5648302132 reducing max timestep prior to age target 459 1.6671396385818481D+07 460 7.192203 5609.233 -0.010817 -0.010817 1.000000 1.000000 0.355352 0.005261 0.239429 -1.520997 520 1 5.8070E+00 7.192203 0.019464 -42.738408 -1.630393 -99.000000 0.000000 0.624852 0.008568 0.016798 0.118585 3 4.5535E+09 2.173932 -0.010764 -99.000000 -99.000000 -6.899272 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8237609919657677D-13 log_rel_run_E_err -9.9991435609957637 (age_target - star_age)/age_sigma 460 2.4661828973 reducing max timestep prior to age target 460 1.6030188832517624D+07 (age_target - star_age)/age_sigma 461 2.3675355814 reducing max timestep prior to age target 461 1.5388981279216766D+07 (age_target - star_age)/age_sigma 462 2.2688882655 reducing max timestep prior to age target 462 1.4747773725915909D+07 (age_target - star_age)/age_sigma 463 2.1702409496 reducing max timestep prior to age target 463 1.4106566172615051D+07 (age_target - star_age)/age_sigma 464 2.0715936337 reducing max timestep prior to age target 464 1.3465358619314194D+07 (age_target - star_age)/age_sigma 465 1.9729463178 reducing max timestep prior to age target 465 1.2824151066013336D+07 (age_target - star_age)/age_sigma 466 1.8742990020 reducing max timestep prior to age target 466 1.2182943512712479D+07 (age_target - star_age)/age_sigma 467 1.7756516861 reducing max timestep prior to age target 467 1.1541735959411621D+07 (age_target - star_age)/age_sigma 468 1.6770043702 reducing max timestep prior to age target 468 1.0900528406110764D+07 (age_target - star_age)/age_sigma 469 1.5783570543 reducing max timestep prior to age target 469 1.0259320852809906D+07 470 7.192322 5609.330 -0.010590 -0.010590 1.000000 1.000000 0.354799 0.005263 0.239385 -1.520696 520 1 5.8070E+00 7.192322 0.019563 -42.730769 -1.630004 -99.000000 0.000000 0.625404 0.008566 0.016795 0.118660 3 4.5599E+09 2.174409 -0.010536 -15.051500 -99.000000 -6.899423 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.7129191803300641D-13 log_rel_run_E_err -9.9912922501435002 (age_target - star_age)/age_sigma 470 1.4797097384 remaining steps and years until age target 470 15 9.6181132995100021D+06 (age_target - star_age)/age_sigma 471 1.3810624225 reducing max timestep prior to age target 471 8.9769057462091446D+06 (age_target - star_age)/age_sigma 472 1.2824151066 reducing max timestep prior to age target 472 8.3356981929082870D+06 (age_target - star_age)/age_sigma 473 1.1837677907 reducing max timestep prior to age target 473 7.6944906396074295D+06 (age_target - star_age)/age_sigma 474 1.0851204748 reducing max timestep prior to age target 474 7.0532830863065720D+06 (age_target - star_age)/age_sigma 475 0.9864731589 remaining steps and years until age target 475 10 6.4120755330066681D+06 (age_target - star_age)/age_sigma 476 0.8878258430 reducing max timestep prior to age target 476 5.7708679797058105D+06 (age_target - star_age)/age_sigma 477 0.7891785271 reducing max timestep prior to age target 477 5.1296604264049530D+06 (age_target - star_age)/age_sigma 478 0.6905312112 reducing max timestep prior to age target 478 4.4884528731040955D+06 (age_target - star_age)/age_sigma 479 0.5918838954 remaining steps and years until age target 479 6 3.8472453198041916D+06 480 7.192442 5609.426 -0.010362 -0.010362 1.000000 1.000000 0.354247 0.005265 0.239342 -1.520395 520 1 5.8070E+00 7.192442 0.019662 -42.723126 -1.629614 -99.000000 0.000000 0.625957 0.008564 0.016792 0.118736 3 4.5663E+09 2.174887 -0.010309 -99.000000 -99.000000 -6.899574 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9088663315782779D-13 log_rel_run_E_err -9.9834952932135295 (age_target - star_age)/age_sigma 480 0.4932365795 reducing max timestep prior to age target 480 3.2060377665033340D+06 (age_target - star_age)/age_sigma 481 0.3945892636 reducing max timestep prior to age target 481 2.5648302132024765D+06 (age_target - star_age)/age_sigma 482 0.2959419477 remaining steps and years until age target 482 3 1.9236226599025726D+06 (age_target - star_age)/age_sigma 483 0.1972946318 remaining steps and years until age target 483 2 1.2824151066017151D+06 (age_target - star_age)/age_sigma 484 0.0986473159 remaining steps and years until age target 484 1 6.4120755330181122D+05 model saved to final.mod save photos/x484 for model 484 chi^2 combined, chi^2 seismo, chi^2 spectro 485 334067.61 0.00 334067.61 save outputs/best.mod 485 save outputs/best.profile for model 485 save LOGS/profile11.data for model 485 have reached age_target save LOGS/profile11.data for model 485 solver retries 9 varcontrol dt limit 285 max increase dt limit 3753 lgTeff dt limit 1 lgRho_cntr dt limit 129 model saved to final.mod save photos/x485 for model 485 chi^2 combined, chi^2 seismo, chi^2 spectro 485 334067.61 0.00 334067.61 have reached age_target runtime (minutes), retries, steps 2.93 1 485 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 485 7.192502 5609.474 -0.010249 -0.010249 1.000000 1.000000 0.353970 0.005266 0.239320 -1.520244 520 1 5.8070E+00 7.192502 0.019711 -42.719302 -1.629419 -99.000000 0.000000 0.626233 0.008563 0.016791 0.118774 3 4.5695E+09 2.175126 -0.010195 -99.000000 -99.000000 -6.899649 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9152282960297472D-13 log_rel_run_E_err -9.9795667571721918 Teff 5609.4738263482 radius 1.0464328056 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 2156.0054395557 M_H -0.0068428089 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 46.8240341229 log_R 0.0197113463 delta_nu 132.3617996051 nu_max 2851.3335296370 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2700000000 initial_FeH 0.0600000000 alpha 1.7750000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 334067.6098245596 model number 485 save best model results to outputs/sample_0007.data current set of sample results 1 2 3 4 5 6 7 8 samples version_number compiler build MESA_SDK_version math_backend date search_type 7 "7067e26" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251202" "newuoa" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first 5 3.3333875998557516E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615172099E+03 1.0010042019474874E+00 3.9078811617172336E-03 4.3590053503975688E-04 1.4131272100397655E+02 3.1134409186002090E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557516E+05 0 0 0 0 0 0 0 4 3.3337679267851776E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620732275E+03 1.0114129282002264E+00 3.5086386214787716E-04 4.9285006215553989E-03 1.3913658568066575E+02 3.0234851123016156E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851776E+05 0 0 0 0 0 0 0 1 3.3351283960191364E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763963E+03 1.0231407131234020E+00 -1.7395981953360481E-03 9.9353665865702778E-03 1.3680762272705823E+02 2.9640776267831352E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191364E+05 0 0 0 0 0 0 0 3 3.3365606602481316E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367450E+03 1.0099970103007068E+00 2.9466215560994696E-02 4.3200882263779048E-03 1.3947582155333197E+02 3.0536692076808167E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602481316E+05 0 0 0 0 0 0 0 7 3.3406760982455959E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 485 5.6094738263482213E+03 1.0464328056395011E+00 -6.8428089351476934E-03 1.9711346313603707E-02 1.3236179960507457E+02 2.8513335296370001E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3406760982455959E+05 0 0 0 0 0 0 0 6 3.3418048986539035E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558236477E+03 1.0372797593388121E+00 -3.3936545784909809E-02 1.5895903497377413E-02 1.3402431816161774E+02 2.8735532959069524E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986539035E+05 0 0 0 0 0 0 0 2 3.3468070564326138E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271320E+03 1.0622782375814146E+00 -1.2788199777018321E-02 2.6238284372326726E-02 1.2938435093834121E+02 2.7294282123454341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326138E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.6392348767540097D-01 -3.0382561622995274D-01 next_param_to_try initial_FeH 3 6.8730947586409255D-02 1.4551579310682095D-01 next_param_to_try alpha 4 2.1113627004786664D+00 3.7120900159555537D-01 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 410 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954485 4799.585 -12.856102 -12.856102 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 407 1 -5.0000E+00 5.954471 0.953998 -99.000000 -14.253968 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3 9.0000E-05 -1.867473 1.587503 -99.000000 -99.000000 -7.772746 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954486 4648.640 -12.856112 -12.856112 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 406 1 -5.0000E+00 5.954472 0.953818 -99.000000 -14.253977 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3 1.9000E-04 -1.867471 1.531633 -99.000000 -99.000000 -7.748539 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954486 4580.801 -12.856116 -12.856116 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 405 1 -5.0000E+00 5.954472 0.953709 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3 2.9000E-04 -1.867470 1.505878 -99.000000 -99.000000 -7.732385 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954486 4539.957 -12.856119 -12.856119 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 404 1 -5.0000E+00 5.954473 0.953634 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3 3.9000E-04 -1.867470 1.490168 -99.000000 -99.000000 -7.721166 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954487 4513.026 -12.856120 -12.856120 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 405 1 -5.0000E+00 5.954473 0.953577 -99.000000 -14.253986 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3 4.9000E-04 -1.867469 1.479720 -99.000000 -99.000000 -7.713197 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954488 4377.755 -12.856122 -12.856122 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 407 0 -2.2907E+00 5.954474 0.953126 -99.000000 -14.253988 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3 1.0230E-02 -1.867468 1.425952 -99.000000 -99.000000 -7.667128 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9257522901886699D-01 20 5.954588 4371.087 -12.854790 -12.854790 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396224 401 0 7.1957E-01 5.954575 0.952967 -99.000000 -14.252655 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071337 3 1.0486E+01 -1.867314 1.422986 -99.000000 -99.000000 -7.664430 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.9793107224409051D-01 30 6.002530 4405.862 -12.190017 -12.190017 1.000000 1.000000 0.700000 0.001010 0.279998 -6.240770 404 0 3.4671E+00 6.002530 0.904141 -99.000000 -13.587882 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.8071E+03 -1.727989 1.339100 -99.000000 -99.000000 -7.618986 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501232802017D-08 40 6.181524 4514.226 -9.818628 -9.818628 1.000000 1.000000 0.700000 0.001010 0.279977 -5.620374 416 0 4.0307E+00 6.181524 0.718871 -99.000000 -11.216487 -99.000000 0.000000 0.280000 0.009381 0.019981 0.071111 3 7.4526E+04 -1.190607 1.010769 -99.000000 -99.000000 -7.438082 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128502565069646D-08 50 6.359305 4569.072 -7.704683 -7.704683 1.000000 1.000000 0.700000 0.001010 0.279851 -5.004271 432 0 4.5446E+00 6.359305 0.536670 -99.000000 -9.102527 -99.000000 0.000000 0.280000 0.009381 0.019879 0.071123 3 2.9208E+05 -0.657028 0.667345 -99.000000 -99.000000 -7.239491 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501898935832D-08 60 6.533282 4564.962 -5.838794 -5.838794 1.000000 1.000000 0.700000 0.001010 0.279549 -4.400674 447 0 5.0664E+00 6.533282 0.359517 -99.000000 -7.236595 -99.000000 0.000000 0.280000 0.009381 0.019677 0.071139 3 1.0114E+06 -0.134811 0.311477 -99.000000 -99.000000 -7.001562 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128501676891227D-08 finished relax to begin radiative core 66 1.2591349186110996D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1682140396452654D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6392348767540097D-05 initial_he4 2.6389709532663341D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999266D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999018D+09 10 6.620817 4310.452 -4.905110 -4.905110 1.000000 1.000000 0.716821 0.000973 0.263923 -4.021363 457 0 -4.2920E+00 6.620817 0.262185 -99.000000 -6.302857 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071943 10 2.5708E-04 0.156147 0.017154 -99.000000 -99.000000 -6.903147 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6559438153840223D-13 log_rel_run_E_err -11.5723254151254373 solver rejected trial model s% model_number 19 s% solver_call_number 136 nz 457 s% num_retries 0 dt 8.3131947116289921D+03 log dt/secyer -3.5793360144197681D+00 retry: max residual jumped -- give up in solver 19 20 6.620821 4338.867 -4.905114 -4.905114 1.000000 1.000000 0.716821 0.000973 0.263923 -4.021362 457 1 -3.8804E+00 6.620821 0.262234 -99.000000 -6.302861 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071942 6 1.5313E-03 0.156154 0.028667 -99.000000 -99.000000 -6.915945 0.000000 0.003319 0.002007 0.019255 0.000E+00 hold rel_E_err 2.6391929428998369D-13 log_rel_run_E_err -11.2741580611539476 30 6.620829 4342.352 -4.905113 -4.905113 1.000000 1.000000 0.716821 0.000973 0.263923 -4.021362 457 1 -3.0886E+00 6.620829 0.262272 -99.000000 -6.302861 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071942 5 5.6343E-03 0.156165 0.030138 -20.072100 -99.000000 -6.917517 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7322533412041418D-13 log_rel_run_E_err -11.0958789925766794 40 6.620836 4343.611 -4.905109 -4.905109 1.000000 1.000000 0.716821 0.000973 0.263923 -4.021362 457 1 -2.2967E+00 6.620836 0.262316 -99.000000 -6.302856 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071941 2 3.1039E-02 0.156176 0.030729 -99.000000 -99.000000 -6.918120 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6056911874999345D-13 log_rel_run_E_err -10.9708092380720288 50 6.620837 4343.969 -4.905108 -4.905108 1.000000 1.000000 0.716821 0.000973 0.263923 -4.021362 457 1 -1.5049E+00 6.620837 0.262325 -99.000000 -6.302855 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071941 2 1.8834E-01 0.156178 0.030890 -99.000000 -99.000000 -6.918286 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6838618603251187D-13 log_rel_run_E_err -10.8734520509203136 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.620837 4343.978 -4.905107 -4.905107 1.000000 1.000000 0.716821 0.000973 0.263923 -4.021362 457 1 -7.1312E-01 6.620837 0.262325 -99.000000 -6.302855 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071941 2 1.1623E+00 0.156178 0.030894 -99.000000 -99.000000 -6.918291 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6950287174930354D-13 log_rel_run_E_err -10.7938573301613996 70 6.620838 4343.977 -4.905104 -4.905104 1.000000 1.000000 0.716821 0.000973 0.263923 -4.021360 457 1 7.8696E-02 6.620838 0.262324 -99.000000 -6.302851 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071941 2 7.1927E+00 0.156179 0.030893 -99.000000 -99.000000 -6.918290 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6038272050910736D-13 log_rel_run_E_err -10.7276377938739031 80 6.620840 4343.975 -4.905081 -4.905081 1.000000 1.000000 0.716821 0.000973 0.263923 -4.021350 457 1 8.7051E-01 6.620840 0.262322 -99.000000 -6.302829 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071941 2 4.4531E+01 0.156187 0.030887 -99.000000 -99.000000 -6.918286 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.4456111083859427D-13 log_rel_run_E_err -10.6701526020362323 90 6.620852 4343.958 -4.904943 -4.904943 1.000000 1.000000 0.716821 0.000973 0.263923 -4.021289 457 1 1.6623E+00 6.620852 0.262308 -99.000000 -6.302690 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071941 2 2.7572E+02 0.156232 0.030851 -99.000000 -99.000000 -6.918261 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7191133482819512D-13 log_rel_run_E_err -10.6184027541177652 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.620931 4343.856 -4.904084 -4.904084 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020909 457 1 2.4541E+00 6.620931 0.262218 -99.000000 -6.301832 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071944 2 1.7072E+03 0.156513 0.030631 -99.000000 -99.000000 -6.918109 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.5938653253764999D-13 log_rel_run_E_err -10.5729794880909687 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.621414 4343.226 -4.898786 -4.898786 1.000000 1.000000 0.716821 0.000973 0.263923 -4.018563 457 1 3.2459E+00 6.621414 0.261662 -99.000000 -6.296533 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071960 2 1.0571E+04 0.158252 0.029268 -20.771070 -99.000000 -6.917167 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6722230612921367D-13 log_rel_run_E_err -10.5320477151838272 120 6.624347 4339.367 -4.866588 -4.866588 1.000000 1.000000 0.716821 0.000973 0.263923 -4.004159 457 1 4.0378E+00 6.624347 0.258282 -99.000000 -6.264332 -99.000000 0.000000 0.263924 0.009031 0.019255 0.072060 2 6.5450E+04 0.168868 0.020964 -99.000000 -99.000000 -6.911414 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err -3.2076546086483639D-14 log_rel_run_E_err -10.5044700045949657 130 6.640437 4317.172 -4.687333 -4.687333 1.000000 1.000000 0.716821 0.000973 0.263923 -3.919344 459 1 4.8296E+00 6.640437 0.239332 -99.000000 -6.085063 -99.000000 0.000000 0.263924 0.009031 0.019255 0.072753 3 4.0525E+05 0.229605 -0.025846 -20.169010 -99.000000 -6.878611 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7598590794105553D-13 log_rel_run_E_err -10.4560765203799075 140 6.700392 4232.546 -3.987054 -3.987054 1.000000 1.000000 0.716820 0.000973 0.263923 -3.503656 462 1 5.6214E+00 6.700392 0.164424 -99.000000 -5.384695 -99.000000 0.000000 0.263925 0.009031 0.019255 0.077903 4 2.5092E+06 0.498572 -0.210051 -99.000000 -99.000000 -6.746352 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 3.3539443333722178D-13 log_rel_run_E_err -10.3608588278877551 150 6.806483 4289.783 -2.824971 -2.824971 1.000000 1.000000 0.716814 0.000973 0.263921 -2.623436 470 1 5.9623E+00 6.806483 0.062708 -99.000000 -4.222204 -99.000000 0.000000 0.263931 0.009031 0.019255 0.092021 4 1.0035E+07 1.033842 -0.390150 -18.362830 -99.000000 -6.650427 0.000000 0.003319 0.002007 0.019255 0.000E+00 lgRho_cntr rel_E_err 2.2474071793548965D-13 log_rel_run_E_err -10.3824045056309764 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 6.950969 4927.160 -1.544154 -1.544154 1.000000 1.000000 0.716767 0.000973 0.263909 -1.794848 483 1 6.0529E+00 6.950969 0.015006 -99.000000 -2.940339 -99.000000 0.000000 0.263977 0.009032 0.019254 0.101699 4 2.1313E+07 1.597546 -0.244909 -99.000000 -99.000000 -6.785377 0.000000 0.003319 0.002007 0.019256 0.000E+00 lgRho_cntr rel_E_err 1.8100931982377844D-13 log_rel_run_E_err -10.5065934620608044 170 7.128281 5569.275 -0.178558 -0.178558 1.000000 1.000000 0.716127 0.001571 0.263834 -1.734087 518 1 6.5265E+00 7.128281 -0.045469 -47.402787 -1.736203 -99.000000 0.000000 0.264529 0.009032 0.019249 0.084624 5 3.9792E+07 1.889271 -0.153050 -99.000000 -99.000000 -6.818983 0.000000 0.002807 0.002008 0.019343 0.000E+00 max increase rel_E_err 1.9710101997844035D-13 log_rel_run_E_err -10.6148015432995315 (age_target - star_age)/age_sigma 173 694.6193099008 reducing max timestep prior to age target 173 4.5150255143550167D+09 180 7.125321 5544.676 -0.174285 -0.174285 1.000000 1.000000 0.709998 0.004657 0.263226 -1.684333 502 1 7.3183E+00 7.125321 -0.052107 -47.500580 -1.815887 -99.000000 0.000000 0.270205 0.009038 0.019211 0.086744 5 1.4450E+08 1.906749 -0.174015 -99.000000 -99.000000 -6.805566 0.000000 0.000165 0.002009 0.019797 0.000E+00 max increase rel_E_err 1.9117848675728254D-13 log_rel_run_E_err -10.5833280019553317 (age_target - star_age)/age_sigma 180 680.7688915705 reducing max timestep prior to age target 180 4.4249977952082167D+09 (age_target - star_age)/age_sigma 183 666.7824193081 reducing max timestep prior to age target 183 4.3340857255024366D+09 (age_target - star_age)/age_sigma 185 652.1750091562 reducing max timestep prior to age target 185 4.2391375595152140D+09 (age_target - star_age)/age_sigma 187 631.1403385375 reducing max timestep prior to age target 187 4.1024122004936123D+09 (age_target - star_age)/age_sigma 188 618.8213946798 reducing max timestep prior to age target 188 4.0223390654186330D+09 (age_target - star_age)/age_sigma 189 606.7488296993 reducing max timestep prior to age target 189 3.9438673930451531D+09 190 7.130302 5562.274 -0.155890 -0.155890 1.000000 1.000000 0.671337 0.004860 0.259986 -1.659435 503 1 7.8859E+00 7.130302 -0.045764 -47.037337 -1.819464 -99.000000 0.000000 0.308761 0.009067 0.019003 0.089554 10 7.0253E+08 1.934278 -0.155824 -99.000000 -99.000000 -6.816480 0.000000 0.000014 0.002017 0.019902 0.000E+00 max_dt rel_E_err 1.9030102194790806D-13 log_rel_run_E_err -10.5540590140696278 (age_target - star_age)/age_sigma 190 594.9177160183 reducing max timestep prior to age target 190 3.8669651541191425D+09 (age_target - star_age)/age_sigma 191 583.3232246110 reducing max timestep prior to age target 191 3.7916009599716525D+09 (age_target - star_age)/age_sigma 192 571.9606230319 reducing max timestep prior to age target 192 3.7177440497071123D+09 (age_target - star_age)/age_sigma 193 560.8252734843 reducing max timestep prior to age target 193 3.6453642776478624D+09 (age_target - star_age)/age_sigma 194 549.9126309277 reducing max timestep prior to age target 194 3.5744321010297976D+09 (age_target - star_age)/age_sigma 195 539.2182412222 reducing max timestep prior to age target 195 3.5049185679440947D+09 (age_target - star_age)/age_sigma 196 528.7377393108 reducing max timestep prior to age target 196 3.4367953055201054D+09 (age_target - star_age)/age_sigma 197 518.4668474376 reducing max timestep prior to age target 197 3.3700345083445959D+09 (age_target - star_age)/age_sigma 198 508.4013734019 reducing max timestep prior to age target 198 3.3046089271125970D+09 (age_target - star_age)/age_sigma 199 498.5372088470 reducing max timestep prior to age target 199 3.2404918575052376D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.138105 5580.047 -0.136851 -0.136851 1.000000 1.000000 0.621650 0.004898 0.256107 -1.640705 506 1 7.7982E+00 7.138105 -0.039012 -46.416710 -1.800993 -99.000000 0.000000 0.358351 0.009096 0.018755 0.092949 10 1.3918E+09 1.966658 -0.136778 -99.000000 -99.000000 -6.828800 0.000000 0.000015 0.002026 0.019998 0.000E+00 max_dt rel_E_err 2.0101903329921353D-13 log_rel_run_E_err -10.5262290713611559 (age_target - star_age)/age_sigma 200 488.8703275831 reducing max timestep prior to age target 200 3.1776571292900257D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.3967839445 reducing max timestep prior to age target 201 3.1160790956391177D+09 (age_target - star_age)/age_sigma 202 470.1127111787 reducing max timestep prior to age target 202 3.0557326226612282D+09 (age_target - star_age)/age_sigma 203 461.0143198681 reducing max timestep prior to age target 203 2.9965930791428962D+09 (age_target - star_age)/age_sigma 204 452.0978963838 reducing max timestep prior to age target 204 2.9386363264949312D+09 (age_target - star_age)/age_sigma 205 443.3598013692 reducing max timestep prior to age target 205 2.8818387088999252D+09 (age_target - star_age)/age_sigma 206 434.7964682549 reducing max timestep prior to age target 206 2.8261770436568193D+09 (age_target - star_age)/age_sigma 207 426.4044018029 reducing max timestep prior to age target 207 2.7716286117185755D+09 (age_target - star_age)/age_sigma 208 418.1801766799 reducing max timestep prior to age target 208 2.7181711484190969D+09 (age_target - star_age)/age_sigma 209 410.1204360593 reducing max timestep prior to age target 209 2.6657828343856077D+09 210 7.144920 5594.274 -0.121052 -0.121052 1.000000 1.000000 0.580481 0.004934 0.252912 -1.624076 506 1 7.7105E+00 7.144920 -0.033324 -45.898887 -1.782754 -99.000000 0.000000 0.399444 0.009113 0.018549 0.096044 10 1.9551E+09 1.994773 -0.120979 -15.954590 -99.000000 -6.839294 0.000000 0.000015 0.002034 0.020075 0.000E+00 max_dt rel_E_err 1.8305312275623848D-13 log_rel_run_E_err -10.5004558850973542 (age_target - star_age)/age_sigma 210 402.2218902512 reducing max timestep prior to age target 210 2.6144422866327882D+09 (age_target - star_age)/age_sigma 211 394.4813153592 reducing max timestep prior to age target 211 2.5641285498350253D+09 (age_target - star_age)/age_sigma 213 379.3097885710 reducing max timestep prior to age target 213 2.4655136257114096D+09 (age_target - star_age)/age_sigma 214 371.8757404447 reducing max timestep prior to age target 214 2.4171923128908381D+09 (age_target - star_age)/age_sigma 215 364.5903732810 reducing max timestep prior to age target 215 2.3698374263266778D+09 (age_target - star_age)/age_sigma 216 357.4507134606 reducing max timestep prior to age target 216 2.3234296374938006D+09 (age_target - star_age)/age_sigma 217 350.4538468366 reducing max timestep prior to age target 217 2.2779500044375815D+09 (age_target - star_age)/age_sigma 218 343.5969175450 reducing max timestep prior to age target 218 2.2333799640424862D+09 (age_target - star_age)/age_sigma 219 336.8771268393 reducing max timestep prior to age target 219 2.1897013244552937D+09 220 7.150894 5605.844 -0.107588 -0.107588 1.000000 1.000000 0.545882 0.004969 0.250343 -1.609251 508 1 7.6315E+00 7.150894 -0.028386 -45.459738 -1.766120 -99.000000 0.000000 0.433981 0.009120 0.018383 0.098870 10 2.4226E+09 2.019328 -0.107515 -99.000000 -99.000000 -6.848370 0.000000 0.000016 0.002041 0.020136 0.000E+00 max_dt rel_E_err 1.9908965107901759D-13 log_rel_run_E_err -10.4758237026782659 (age_target - star_age)/age_sigma 220 330.2917319477 reducing max timestep prior to age target 220 2.1468962576598444D+09 (age_target - star_age)/age_sigma 221 323.8380449539 reducing max timestep prior to age target 221 2.1049472922003040D+09 (age_target - star_age)/age_sigma 222 317.5134317000 reducing max timestep prior to age target 222 2.0638373060499544D+09 (age_target - star_age)/age_sigma 223 311.3153107112 reducing max timestep prior to age target 223 2.0235495196226120D+09 (age_target - star_age)/age_sigma 224 305.2411521421 reducing max timestep prior to age target 224 1.9840674889238162D+09 (age_target - star_age)/age_sigma 225 299.2884767445 reducing max timestep prior to age target 225 1.9453750988389964D+09 (age_target - star_age)/age_sigma 226 293.4548548547 reducing max timestep prior to age target 226 1.9074565565558734D+09 (age_target - star_age)/age_sigma 227 287.7379054028 reducing max timestep prior to age target 227 1.8702963851184125D+09 (age_target - star_age)/age_sigma 228 282.1352949400 reducing max timestep prior to age target 228 1.8338794171097012D+09 (age_target - star_age)/age_sigma 229 276.6447366863 reducing max timestep prior to age target 229 1.7981907884611635D+09 230 7.156034 5615.177 -0.096262 -0.096262 1.000000 1.000000 0.517179 0.005003 0.248169 -1.596339 508 1 7.5438E+00 7.156034 -0.024169 -45.091529 -1.751472 -99.000000 0.000000 0.462636 0.009120 0.018243 0.101392 10 2.8063E+09 2.040383 -0.096191 -99.000000 -99.000000 -6.856107 0.000000 0.000016 0.002046 0.020185 0.000E+00 max_dt rel_E_err 1.9046158893937904D-13 log_rel_run_E_err -10.4518686368609988 (age_target - star_age)/age_sigma 230 271.2639895978 reducing max timestep prior to age target 230 1.7632159323855968D+09 (age_target - star_age)/age_sigma 231 265.9908574510 reducing max timestep prior to age target 231 1.7289405734315414D+09 (age_target - star_age)/age_sigma 232 260.8231879472 reducing max timestep prior to age target 232 1.6953507216565676D+09 (age_target - star_age)/age_sigma 233 255.7588718334 reducing max timestep prior to age target 233 1.6624326669170928D+09 (age_target - star_age)/age_sigma 234 250.7958420419 reducing max timestep prior to age target 234 1.6301729732724075D+09 (age_target - star_age)/age_sigma 235 245.9320728462 reducing max timestep prior to age target 235 1.5985584735006161D+09 (age_target - star_age)/age_sigma 236 241.1655790345 reducing max timestep prior to age target 236 1.5675762637242603D+09 (age_target - star_age)/age_sigma 237 236.4944150990 reducing max timestep prior to age target 237 1.5372136981434321D+09 (age_target - star_age)/age_sigma 238 231.9166744422 reducing max timestep prior to age target 238 1.5074583838742199D+09 (age_target - star_age)/age_sigma 239 227.4304885985 reducing max timestep prior to age target 239 1.4782981758903923D+09 240 7.160407 5622.652 -0.086809 -0.086809 1.000000 1.000000 0.493498 0.005035 0.246399 -1.585259 509 1 7.4560E+00 7.160407 -0.020599 -44.784425 -1.738797 -99.000000 0.000000 0.486279 0.009114 0.018129 0.103604 10 3.1198E+09 2.058249 -0.086739 -15.653560 -99.000000 -6.862614 0.000000 0.000017 0.002050 0.020224 0.000E+00 max_dt rel_E_err 1.9036054195545193D-13 log_rel_run_E_err -10.4299702766287226 (age_target - star_age)/age_sigma 240 223.0340264717 reducing max timestep prior to age target 240 1.4497211720662408D+09 (age_target - star_age)/age_sigma 241 218.7254935875 reducing max timestep prior to age target 241 1.4217157083185730D+09 (age_target - star_age)/age_sigma 242 214.5031313609 reducing max timestep prior to age target 242 1.3942703538458581D+09 (age_target - star_age)/age_sigma 243 210.3652163789 reducing max timestep prior to age target 243 1.3673739064625974D+09 (age_target - star_age)/age_sigma 244 206.3100596965 reducing max timestep prior to age target 244 1.3410153880270023D+09 (age_target - star_age)/age_sigma 245 202.3360061477 reducing max timestep prior to age target 245 1.3151840399601188D+09 (age_target - star_age)/age_sigma 246 198.4414336699 reducing max timestep prior to age target 246 1.2898693188545728D+09 (age_target - star_age)/age_sigma 247 194.6247526417 reducing max timestep prior to age target 247 1.2650608921711378D+09 (age_target - star_age)/age_sigma 249 187.1440578264 reducing max timestep prior to age target 249 1.2164363758716059D+09 250 7.164113 5628.656 -0.078923 -0.078923 1.000000 1.000000 0.473909 0.005064 0.244978 -1.575810 509 1 7.3771E+00 7.164113 -0.017583 -44.527916 -1.727901 -99.000000 0.000000 0.505837 0.009104 0.018036 0.105533 10 3.3769E+09 2.073350 -0.078854 -99.000000 -99.000000 -6.868062 0.000000 0.000017 0.002053 0.020254 0.000E+00 max_dt rel_E_err 1.8729628559187570D-13 log_rel_run_E_err -10.4093100894819077 (age_target - star_age)/age_sigma 250 183.4785173669 reducing max timestep prior to age target 250 1.1926103628848352D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.8862877166 reducing max timestep prior to age target 251 1.1692608701578002D+09 (age_target - star_age)/age_sigma 252 176.3659026593 reducing max timestep prior to age target 252 1.1463783672853055D+09 (age_target - star_age)/age_sigma 253 172.9159253031 reducing max timestep prior to age target 253 1.1239535144702601D+09 (age_target - star_age)/age_sigma 254 169.5349474941 reducing max timestep prior to age target 254 1.1019771587115164D+09 (age_target - star_age)/age_sigma 255 166.2215892412 reducing max timestep prior to age target 255 1.0804403300679474D+09 (age_target - star_age)/age_sigma 256 162.9744981534 reducing max timestep prior to age target 256 1.0593342379972501D+09 (age_target - star_age)/age_sigma 257 159.7923488874 reducing max timestep prior to age target 257 1.0386502677679663D+09 (age_target - star_age)/age_sigma 258 156.6738426067 reducing max timestep prior to age target 258 1.0183799769432683D+09 (age_target - star_age)/age_sigma 259 153.6177064515 reducing max timestep prior to age target 259 9.9851509193506432D+08 260 7.167277 5633.548 -0.072276 -0.072276 1.000000 1.000000 0.457518 0.005092 0.243783 -1.567705 509 1 7.2893E+00 7.167277 -0.015015 -44.311482 -1.718481 -99.000000 0.000000 0.522204 0.009092 0.017958 0.107220 10 3.5905E+09 2.086215 -0.072208 -15.352530 -99.000000 -6.872672 0.000000 0.000018 0.002056 0.020278 0.000E+00 max_dt rel_E_err 1.8212811059167181D-13 log_rel_run_E_err -10.3895505607513385 (age_target - star_age)/age_sigma 260 150.6226930195 reducing max timestep prior to age target 260 9.7904750462702417D+08 (age_target - star_age)/age_sigma 261 147.6875798562 reducing max timestep prior to age target 261 9.5996926906514502D+08 (age_target - star_age)/age_sigma 262 144.8111689561 reducing max timestep prior to age target 262 9.4127259821450329D+08 (age_target - star_age)/age_sigma 263 141.9922862740 reducing max timestep prior to age target 263 9.2294986078087473D+08 (age_target - star_age)/age_sigma 264 139.2297812455 reducing max timestep prior to age target 264 9.0499357809591866D+08 (age_target - star_age)/age_sigma 265 136.5225263176 reducing max timestep prior to age target 265 8.8739642106466150D+08 (age_target - star_age)/age_sigma 266 133.8694164883 reducing max timestep prior to age target 266 8.7015120717402935D+08 (age_target - star_age)/age_sigma 267 131.2693688556 reducing max timestep prior to age target 267 8.5325089756121016D+08 (age_target - star_age)/age_sigma 268 128.7213221755 reducing max timestep prior to age target 268 8.3668859414064741D+08 (age_target - star_age)/age_sigma 269 126.2242364290 reducing max timestep prior to age target 269 8.2045753678849602D+08 270 7.169922 5637.467 -0.066780 -0.066780 1.000000 1.000000 0.444038 0.005117 0.242812 -1.560894 508 1 7.2016E+00 7.169922 -0.012872 -44.132266 -1.710525 -99.000000 0.000000 0.535665 0.009079 0.017895 0.108660 10 3.7649E+09 2.096957 -0.066714 -15.954590 -99.000000 -6.876496 0.000000 0.000018 0.002058 0.020297 0.000E+00 max_dt rel_E_err 1.7464034798492179D-13 log_rel_run_E_err -10.3708443351127180 (age_target - star_age)/age_sigma 270 123.7770923974 reducing max timestep prior to age target 270 8.0455110058338737D+08 (age_target - star_age)/age_sigma 271 121.3788912465 reducing max timestep prior to age target 271 7.8896279310238075D+08 (age_target - star_age)/age_sigma 272 119.0286541186 reducing max timestep prior to age target 272 7.7368625177099466D+08 (age_target - star_age)/age_sigma 273 116.7254217333 reducing max timestep prior to age target 273 7.5871524126623583D+08 (age_target - star_age)/age_sigma 274 114.4682539956 reducing max timestep prior to age target 274 7.4404365097157240D+08 (age_target - star_age)/age_sigma 275 112.2562296127 reducing max timestep prior to age target 275 7.2966549248280239D+08 (age_target - star_age)/age_sigma 276 110.0884457175 reducing max timestep prior to age target 276 7.1557489716380787D+08 (age_target - star_age)/age_sigma 277 107.9640175002 reducing max timestep prior to age target 277 7.0176611375119257D+08 (age_target - star_age)/age_sigma 278 105.8820778472 reducing max timestep prior to age target 278 6.8823350600683022D+08 (age_target - star_age)/age_sigma 279 103.8417769873 reducing max timestep prior to age target 279 6.7497155041735506D+08 280 7.172143 5640.624 -0.062243 -0.062243 1.000000 1.000000 0.432960 0.005140 0.242033 -1.555175 508 1 7.1138E+00 7.172143 -0.011090 -43.984154 -1.703842 -99.000000 0.000000 0.546728 0.009065 0.017844 0.109881 10 3.9075E+09 2.105933 -0.062178 -15.653560 -99.000000 -6.879656 0.000000 0.000018 0.002060 0.020312 0.000E+00 max_dt rel_E_err 1.7816859626658421D-13 log_rel_run_E_err -10.3531559568997231 (age_target - star_age)/age_sigma 280 101.8422821446 reducing max timestep prior to age target 280 6.6197483393966913D+08 (age_target - star_age)/age_sigma 281 99.8827771987 reducing max timestep prior to age target 281 6.4923805179153681D+08 (age_target - star_age)/age_sigma 283 96.0421475048 reducing max timestep prior to age target 283 6.2427395878119802D+08 (age_target - star_age)/age_sigma 284 94.1602389548 reducing max timestep prior to age target 284 6.1204155320613194D+08 (age_target - star_age)/age_sigma 285 92.3159685758 reducing max timestep prior to age target 285 6.0005379574256706D+08 (age_target - star_age)/age_sigma 286 90.5085836043 reducing max timestep prior to age target 286 5.8830579342827320D+08 (age_target - star_age)/age_sigma 287 88.7373463323 reducing max timestep prior to age target 287 5.7679275116026545D+08 (age_target - star_age)/age_sigma 288 87.0015338058 reducing max timestep prior to age target 288 5.6550996973761797D+08 (age_target - star_age)/age_sigma 289 85.3004375298 reducing max timestep prior to age target 289 5.5445284394342375D+08 290 7.174133 5643.248 -0.058439 -0.058439 1.000000 1.000000 0.423699 0.005160 0.241394 -1.550220 508 1 7.0349E+00 7.174133 -0.009593 -43.859111 -1.698176 -99.000000 0.000000 0.555976 0.009053 0.017802 0.110919 5 4.0259E+09 2.113728 -0.058375 -99.000000 -99.000000 -6.882311 0.000000 0.000018 0.002062 0.020325 0.000E+00 max_dt rel_E_err 1.9009998454507663D-13 log_rel_run_E_err -10.3356512873975550 (age_target - star_age)/age_sigma 290 83.6333631792 reducing max timestep prior to age target 290 5.4361686066511297D+08 (age_target - star_age)/age_sigma 291 81.9996303157 reducing max timestep prior to age target 291 5.3299759705236912D+08 (age_target - star_age)/age_sigma 292 80.3985721095 reducing max timestep prior to age target 292 5.2259071871187973D+08 (age_target - star_age)/age_sigma 293 78.8295350674 reducing max timestep prior to age target 293 5.1239197793820000D+08 (age_target - star_age)/age_sigma 294 77.2918787662 reducing max timestep prior to age target 294 5.0239721197999382D+08 (age_target - star_age)/age_sigma 295 75.7849755909 reducing max timestep prior to age target 295 4.9260234134095240D+08 (age_target - star_age)/age_sigma 296 74.3082104792 reducing max timestep prior to age target 296 4.8300336811469126D+08 (age_target - star_age)/age_sigma 297 72.8609806697 reducing max timestep prior to age target 297 4.7359637435295534D+08 (age_target - star_age)/age_sigma 298 71.4426954564 reducing max timestep prior to age target 298 4.6437752046645355D+08 (age_target - star_age)/age_sigma 299 70.0527759473 reducing max timestep prior to age target 299 4.5534304365768242D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.175682 5645.335 -0.055303 -0.055303 1.000000 1.000000 0.416069 0.005178 0.240842 -1.546188 508 1 6.9471E+00 7.175682 -0.008346 -43.756222 -1.693424 -99.000000 0.000000 0.563596 0.009041 0.017766 0.111803 5 4.1230E+09 2.120006 -0.055240 -99.000000 -99.000000 -6.884499 0.000000 0.000019 0.002063 0.020334 0.000E+00 max_dt rel_E_err 1.8334221792491533D-13 log_rel_run_E_err -10.3186374033159360 (age_target - star_age)/age_sigma 300 68.6906548285 reducing max timestep prior to age target 300 4.4648925638508701D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.3557761320 reducing max timestep prior to age target 301 4.3781254485794306D+08 (age_target - star_age)/age_sigma 302 66.0475950094 reducing max timestep prior to age target 302 4.2930936756134224D+08 (age_target - star_age)/age_sigma 303 64.7655775093 reducing max timestep prior to age target 303 4.2097625381067324D+08 (age_target - star_age)/age_sigma 304 63.5092003592 reducing max timestep prior to age target 304 4.1280980233501768D+08 (age_target - star_age)/age_sigma 305 62.2779507521 reducing max timestep prior to age target 305 4.0480667988887501D+08 (age_target - star_age)/age_sigma 306 61.0713261372 reducing max timestep prior to age target 306 3.9696361989165545D+08 (age_target - star_age)/age_sigma 307 59.8888340145 reducing max timestep prior to age target 307 3.8927742109438038D+08 (age_target - star_age)/age_sigma 308 58.7299917343 reducing max timestep prior to age target 308 3.8174494627305031D+08 (age_target - star_age)/age_sigma 309 57.5943262997 reducing max timestep prior to age target 309 3.7436312094814730D+08 310 7.176962 5647.019 -0.052727 -0.052727 1.000000 1.000000 0.409814 0.005193 0.240400 -1.542853 508 1 6.8594E+00 7.176962 -0.007318 -43.671541 -1.689480 -99.000000 0.000000 0.569844 0.009030 0.017737 0.112541 5 4.2024E+09 2.125191 -0.052665 -99.000000 -99.000000 -6.886299 0.000000 0.000019 0.002064 0.020342 0.000E+00 max_dt rel_E_err 1.8756520386487020D-13 log_rel_run_E_err -10.3021896365579888 (age_target - star_age)/age_sigma 310 56.4813741738 reducing max timestep prior to age target 310 3.6712893212974215D+08 (age_target - star_age)/age_sigma 311 55.3906810904 reducing max timestep prior to age target 311 3.6003942708770514D+08 (age_target - star_age)/age_sigma 312 54.3218018687 reducing max timestep prior to age target 312 3.5309171214650917D+08 (age_target - star_age)/age_sigma 313 53.2743002314 reducing max timestep prior to age target 313 3.4628295150413656D+08 (age_target - star_age)/age_sigma 314 52.2477486269 reducing max timestep prior to age target 314 3.3961036607461214D+08 (age_target - star_age)/age_sigma 315 51.2417280544 reducing max timestep prior to age target 315 3.3307123235367775D+08 (age_target - star_age)/age_sigma 316 50.2558278934 reducing max timestep prior to age target 316 3.2666288130716181D+08 (age_target - star_age)/age_sigma 318 48.3234635778 reducing max timestep prior to age target 318 3.1410251325599146D+08 (age_target - star_age)/age_sigma 319 47.3766050632 reducing max timestep prior to age target 319 3.0794793291091776D+08 320 7.178024 5648.388 -0.050601 -0.050601 1.000000 1.000000 0.404659 0.005206 0.240041 -1.540082 508 1 6.7804E+00 7.178024 -0.006466 -43.601538 -1.686196 -99.000000 0.000000 0.574993 0.009020 0.017714 0.113160 5 4.2676E+09 2.129491 -0.050539 -15.477469 -99.000000 -6.887785 0.000000 0.000019 0.002065 0.020348 0.000E+00 max_dt rel_E_err 1.7418699317525538D-13 log_rel_run_E_err -10.2868963714308208 (age_target - star_age)/age_sigma 320 46.4486837189 reducing max timestep prior to age target 320 3.0191644417274570D+08 (age_target - star_age)/age_sigma 321 45.5393208014 reducing max timestep prior to age target 321 2.9600558520933723D+08 (age_target - star_age)/age_sigma 322 44.6481451423 reducing max timestep prior to age target 322 2.9021294342519617D+08 (age_target - star_age)/age_sigma 323 43.7747929964 reducing max timestep prior to age target 323 2.8453615447673845D+08 (age_target - star_age)/age_sigma 324 42.9189078934 reducing max timestep prior to age target 324 2.7897290130724955D+08 (age_target - star_age)/age_sigma 325 42.0801404925 reducing max timestep prior to age target 325 2.7352091320115089D+08 (age_target - star_age)/age_sigma 326 41.2581484396 reducing max timestep prior to age target 326 2.6817796485717392D+08 (age_target - star_age)/age_sigma 327 40.4525962277 reducing max timestep prior to age target 327 2.6294187548007679D+08 (age_target - star_age)/age_sigma 328 39.6631550601 reducing max timestep prior to age target 328 2.5781050789052105D+08 (age_target - star_age)/age_sigma 329 38.8895027158 reducing max timestep prior to age target 329 2.5278176765275764D+08 330 7.178911 5649.513 -0.048832 -0.048832 1.000000 1.000000 0.400375 0.005217 0.239745 -1.537759 508 1 6.6927E+00 7.178911 -0.005754 -43.543227 -1.683444 -99.000000 0.000000 0.579272 0.009012 0.017695 0.113680 5 4.3216E+09 2.133083 -0.048771 -99.000000 -99.000000 -6.889021 0.000000 0.000019 0.002066 0.020353 0.000E+00 max_dt rel_E_err 1.9797382271211849D-13 log_rel_run_E_err -10.2715881848908186 (age_target - star_age)/age_sigma 330 38.1313234184 reducing max timestep prior to age target 330 2.4785360221974850D+08 (age_target - star_age)/age_sigma 331 37.3883077070 reducing max timestep prior to age target 331 2.4302400009539986D+08 (age_target - star_age)/age_sigma 332 36.6601523098 reducing max timestep prior to age target 332 2.3829099001353836D+08 (age_target - star_age)/age_sigma 333 35.9465600205 reducing max timestep prior to age target 333 2.3365264013331318D+08 (age_target - star_age)/age_sigma 334 35.2472395770 reducing max timestep prior to age target 334 2.2910705725069332D+08 (age_target - star_age)/age_sigma 335 34.5619055424 reducing max timestep prior to age target 335 2.2465238602572536D+08 (age_target - star_age)/age_sigma 336 33.8902781885 reducing max timestep prior to age target 336 2.2028680822525692D+08 (age_target - star_age)/age_sigma 337 33.2320833817 reducing max timestep prior to age target 337 2.1600854198079777D+08 (age_target - star_age)/age_sigma 338 32.5870524710 reducing max timestep prior to age target 338 2.1181584106122875D+08 (age_target - star_age)/age_sigma 339 31.9549221785 reducing max timestep prior to age target 339 2.0770699416005039D+08 340 7.179641 5650.433 -0.047378 -0.047378 1.000000 1.000000 0.396867 0.005227 0.239505 -1.535852 510 1 6.6049E+00 7.179641 -0.005169 -43.495346 -1.681171 -99.000000 0.000000 0.582775 0.009005 0.017679 0.114110 5 4.3658E+09 2.136036 -0.047317 -99.000000 -99.000000 -6.890038 0.000000 0.000019 0.002066 0.020357 0.000E+00 max_dt rel_E_err 1.9106018375313065D-13 log_rel_run_E_err -10.2569141607870620 (age_target - star_age)/age_sigma 340 31.3354344918 reducing max timestep prior to age target 340 2.0368032419689560D+08 (age_target - star_age)/age_sigma 341 30.7283365589 reducing max timestep prior to age target 341 1.9973418763300419D+08 (age_target - star_age)/age_sigma 342 30.1333805847 reducing max timestep prior to age target 342 1.9586697380039024D+08 (age_target - star_age)/age_sigma 343 29.5503237299 reducing max timestep prior to age target 343 1.9207710424442863D+08 (age_target - star_age)/age_sigma 344 28.9789280122 reducing max timestep prior to age target 344 1.8836303207958603D+08 (age_target - star_age)/age_sigma 345 28.4189602089 reducing max timestep prior to age target 345 1.8472324135804081D+08 (age_target - star_age)/age_sigma 346 27.8701917617 reducing max timestep prior to age target 346 1.8115624645092583D+08 (age_target - star_age)/age_sigma 347 27.3323986834 reducing max timestep prior to age target 347 1.7766059144195366D+08 (age_target - star_age)/age_sigma 348 26.8053614666 reducing max timestep prior to age target 348 1.7423484953316021D+08 (age_target - star_age)/age_sigma 349 26.2888649942 reducing max timestep prior to age target 349 1.7087762246254349D+08 350 7.180240 5651.173 -0.046190 -0.046190 1.000000 1.000000 0.393997 0.005235 0.239310 -1.534285 510 1 6.5172E+00 7.180240 -0.004689 -43.456108 -1.679303 -99.000000 0.000000 0.585643 0.008999 0.017666 0.114466 5 4.4019E+09 2.138460 -0.046130 -99.000000 -99.000000 -6.890867 0.000000 0.000019 0.002067 0.020361 0.000E+00 max_dt rel_E_err 1.7685989646732558D-13 log_rel_run_E_err -10.2423212414627631 (age_target - star_age)/age_sigma 350 25.7826984513 reducing max timestep prior to age target 350 1.6758753993333912D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.2866552392 reducing max timestep prior to age target 351 1.6436325905471802D+08 (age_target - star_age)/age_sigma 353 24.3144105435 reducing max timestep prior to age target 353 1.5804366853262234D+08 (age_target - star_age)/age_sigma 354 23.8380106426 reducing max timestep prior to age target 354 1.5494706917679501D+08 (age_target - star_age)/age_sigma 355 23.3711387397 reducing max timestep prior to age target 355 1.5191240180808449D+08 (age_target - star_age)/age_sigma 356 22.9136042749 reducing max timestep prior to age target 356 1.4893842778674793D+08 (age_target - star_age)/age_sigma 357 22.4652204994 reducing max timestep prior to age target 357 1.4602393324583912D+08 (age_target - star_age)/age_sigma 358 22.0258043993 reducing max timestep prior to age target 358 1.4316772859574699D+08 (age_target - star_age)/age_sigma 359 21.5951766213 reducing max timestep prior to age target 359 1.4036864803865719D+08 360 7.180740 5651.785 -0.045203 -0.045203 1.000000 1.000000 0.391611 0.005242 0.239148 -1.532979 510 1 6.4382E+00 7.180740 -0.004290 -43.423441 -1.677743 -99.000000 0.000000 0.588026 0.008993 0.017655 0.114763 5 4.4319E+09 2.140479 -0.045143 -99.000000 -99.000000 -6.891556 0.000000 0.000019 0.002067 0.020363 0.000E+00 max_dt rel_E_err 1.8391555564162115D-13 log_rel_run_E_err -10.2286247750118413 (age_target - star_age)/age_sigma 360 21.1731613989 reducing max timestep prior to age target 360 1.3762554909270954D+08 (age_target - star_age)/age_sigma 361 20.7595864809 reducing max timestep prior to age target 361 1.3493731212568092D+08 (age_target - star_age)/age_sigma 362 20.3542830612 reducing max timestep prior to age target 362 1.3230283989799213D+08 (age_target - star_age)/age_sigma 363 19.9570857100 reducing max timestep prior to age target 363 1.2972105711485767D+08 (age_target - star_age)/age_sigma 364 19.5678323058 reducing max timestep prior to age target 364 1.2719090998738575D+08 (age_target - star_age)/age_sigma 365 19.1863639696 reducing max timestep prior to age target 365 1.2471136580246258D+08 (age_target - star_age)/age_sigma 366 18.8125250002 reducing max timestep prior to age target 366 1.2228141250123882D+08 (age_target - star_age)/age_sigma 367 18.4461628102 reducing max timestep prior to age target 367 1.1990005826603985D+08 (age_target - star_age)/age_sigma 368 18.0871278639 reducing max timestep prior to age target 368 1.1756633111554432D+08 (age_target - star_age)/age_sigma 369 17.7352736166 reducing max timestep prior to age target 369 1.1527927850805855D+08 370 7.181152 5652.284 -0.044391 -0.044391 1.000000 1.000000 0.389650 0.005247 0.239016 -1.531904 510 1 6.3505E+00 7.181152 -0.003961 -43.396568 -1.676456 -99.000000 0.000000 0.589985 0.008989 0.017647 0.115009 5 4.4565E+09 2.142141 -0.044332 -15.477469 -99.000000 -6.892123 0.000000 0.000019 0.002067 0.020365 0.000E+00 max_dt rel_E_err 1.8475152666199696D-13 log_rel_run_E_err -10.2152887333678315 (age_target - star_age)/age_sigma 370 17.3904564543 reducing max timestep prior to age target 370 1.1303796695272255D+08 (age_target - star_age)/age_sigma 371 17.0525356352 reducing max timestep prior to age target 371 1.1084148162849331D+08 (age_target - star_age)/age_sigma 372 16.7213732324 reducing max timestep prior to age target 372 1.0868892601074886D+08 (age_target - star_age)/age_sigma 373 16.3968340777 reducing max timestep prior to age target 373 1.0657942150535870D+08 (age_target - star_age)/age_sigma 374 16.0787857062 reducing max timestep prior to age target 374 1.0451210709007740D+08 (age_target - star_age)/age_sigma 375 15.7670983020 reducing max timestep prior to age target 375 1.0248613896310043D+08 (age_target - star_age)/age_sigma 376 15.4616446459 reducing max timestep prior to age target 376 1.0050069019866371D+08 (age_target - star_age)/age_sigma 377 15.1623000630 reducing max timestep prior to age target 377 9.8554950409516335D+07 (age_target - star_age)/age_sigma 378 14.8689423717 reducing max timestep prior to age target 378 9.6648125416151047D+07 (age_target - star_age)/age_sigma 379 14.5814518343 reducing max timestep prior to age target 379 9.4779436922653198D+07 380 7.181489 5652.691 -0.043727 -0.043727 1.000000 1.000000 0.388047 0.005252 0.238908 -1.531024 510 1 6.2628E+00 7.181489 -0.003691 -43.374567 -1.675400 -99.000000 0.000000 0.591586 0.008985 0.017640 0.115211 5 4.4766E+09 2.143503 -0.043668 -99.000000 -99.000000 -6.892587 0.000000 0.000019 0.002068 0.020367 0.000E+00 max_dt rel_E_err 1.8623513834938155D-13 log_rel_run_E_err -10.2024250367387133 (age_target - star_age)/age_sigma 380 14.2997111075 reducing max timestep prior to age target 380 9.2948122199025154D+07 (age_target - star_age)/age_sigma 381 14.0236051954 reducing max timestep prior to age target 381 9.1153433769870758D+07 (age_target - star_age)/age_sigma 382 13.7530214014 reducing max timestep prior to age target 382 8.9394639109298706D+07 (age_target - star_age)/age_sigma 383 13.4878492834 reducing max timestep prior to age target 383 8.7671020341938019D+07 (age_target - star_age)/age_sigma 384 13.2279806077 reducing max timestep prior to age target 384 8.5981873949924469D+07 (age_target - star_age)/age_sigma 385 12.9733093055 reducing max timestep prior to age target 385 8.4326510485751152D+07 (age_target - star_age)/age_sigma 386 12.7237314294 reducing max timestep prior to age target 386 8.2704254290861130D+07 (age_target - star_age)/age_sigma 388 12.2345587921 reducing max timestep prior to age target 388 7.9524632148877144D+07 (age_target - star_age)/age_sigma 389 11.9948641999 reducing max timestep prior to age target 389 7.7966617299304962D+07 390 7.181767 5653.024 -0.043181 -0.043181 1.000000 1.000000 0.386728 0.005256 0.238819 -1.530299 510 1 6.1838E+00 7.181767 -0.003469 -43.356458 -1.674530 -99.000000 0.000000 0.592903 0.008982 0.017634 0.115378 5 4.4931E+09 2.144624 -0.043122 -15.176439 -99.000000 -6.892968 0.000000 0.000019 0.002068 0.020369 0.000E+00 max_dt rel_E_err 1.8750726381661676D-13 log_rel_run_E_err -10.1895468188678127 (age_target - star_age)/age_sigma 390 11.7599634995 reducing max timestep prior to age target 390 7.6439762746724129D+07 (age_target - star_age)/age_sigma 391 11.5297608131 reducing max timestep prior to age target 391 7.4943445285194397D+07 (age_target - star_age)/age_sigma 392 11.3041621804 reducing max timestep prior to age target 392 7.3477054172896385D+07 (age_target - star_age)/age_sigma 393 11.0830755204 reducing max timestep prior to age target 393 7.2039990882843971D+07 (age_target - star_age)/age_sigma 394 10.8664105936 reducing max timestep prior to age target 394 7.0631668858592987D+07 (age_target - star_age)/age_sigma 395 10.6540789654 reducing max timestep prior to age target 395 6.9251513274826050D+07 (age_target - star_age)/age_sigma 396 10.4459939697 reducing max timestep prior to age target 396 6.7898960802734375D+07 (age_target - star_age)/age_sigma 397 10.2420706739 reducing max timestep prior to age target 397 6.6573459380085945D+07 (age_target - star_age)/age_sigma 398 10.0422258440 reducing max timestep prior to age target 398 6.5274467985889435D+07 (age_target - star_age)/age_sigma 399 9.8463779107 reducing max timestep prior to age target 399 6.4001456419577599D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.181998 5653.299 -0.042727 -0.042727 1.000000 1.000000 0.385634 0.005259 0.238746 -1.529697 510 1 6.0961E+00 7.181998 -0.003285 -43.341425 -1.673806 -99.000000 0.000000 0.593996 0.008979 0.017629 0.115516 5 4.5067E+09 2.145555 -0.042669 -99.000000 -99.000000 -6.893284 0.000000 0.000019 0.002068 0.020370 0.000E+00 max_dt rel_E_err 1.9435947149485120D-13 log_rel_run_E_err -10.1770466319758750 (age_target - star_age)/age_sigma 400 9.6544469361 reducing max timestep prior to age target 400 6.2753905084590912D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4663545810 reducing max timestep prior to age target 401 6.1531304776304245D+07 (age_target - star_age)/age_sigma 402 9.2820240730 reducing max timestep prior to age target 402 6.0333156474184036D+07 (age_target - star_age)/age_sigma 403 9.1013801751 reducing max timestep prior to age target 403 5.9158971138105392D+07 (age_target - star_age)/age_sigma 404 8.9243491552 reducing max timestep prior to age target 404 5.8008269508748055D+07 (age_target - star_age)/age_sigma 405 8.7508587557 reducing max timestep prior to age target 405 5.6880581911978722D+07 (age_target - star_age)/age_sigma 406 8.5808381642 reducing max timestep prior to age target 406 5.5775448067144394D+07 (age_target - star_age)/age_sigma 407 8.4142179845 reducing max timestep prior to age target 407 5.4692416899207115D+07 (age_target - star_age)/age_sigma 408 8.2509302084 reducing max timestep prior to age target 408 5.3631046354628563D+07 (age_target - star_age)/age_sigma 409 8.0909081878 reducing max timestep prior to age target 409 5.2590903220940590D+07 410 7.182187 5653.523 -0.042357 -0.042357 1.000000 1.000000 0.384740 0.005262 0.238686 -1.529205 510 1 6.0083E+00 7.182187 -0.003134 -43.329129 -1.673213 -99.000000 0.000000 0.594889 0.008977 0.017625 0.115630 4 4.5179E+09 2.146317 -0.042298 -15.255620 -99.000000 -6.893543 0.000000 0.000019 0.002068 0.020371 0.000E+00 max_dt rel_E_err 1.7547168097980251D-13 log_rel_run_E_err -10.1648161716919230 (age_target - star_age)/age_sigma 410 7.9340866077 reducing max timestep prior to age target 410 5.1571562949927330D+07 (age_target - star_age)/age_sigma 411 7.7804014591 reducing max timestep prior to age target 411 5.0572609484333992D+07 (age_target - star_age)/age_sigma 412 7.6297900135 reducing max timestep prior to age target 412 4.9593635088053703D+07 (age_target - star_age)/age_sigma 413 7.4821907969 reducing max timestep prior to age target 413 4.8634240179697990D+07 (age_target - star_age)/age_sigma 414 7.3375435645 reducing max timestep prior to age target 414 4.7694033169509888D+07 (age_target - star_age)/age_sigma 415 7.1957892769 reducing max timestep prior to age target 415 4.6772630299525261D+07 (age_target - star_age)/age_sigma 416 7.0568700749 reducing max timestep prior to age target 416 4.5869655486940384D+07 (age_target - star_age)/age_sigma 417 6.9207292570 reducing max timestep prior to age target 417 4.4984740170606613D+07 (age_target - star_age)/age_sigma 418 6.7873112555 reducing max timestep prior to age target 418 4.4117523160599709D+07 (age_target - star_age)/age_sigma 419 6.6565616140 reducing max timestep prior to age target 419 4.3267650490793228D+07 420 7.182342 5653.706 -0.042054 -0.042054 1.000000 1.000000 0.384009 0.005264 0.238638 -1.528802 510 1 5.9206E+00 7.182342 -0.003011 -43.319072 -1.672728 -99.000000 0.000000 0.595619 0.008975 0.017622 0.115723 3 4.5271E+09 2.146940 -0.041995 -99.000000 -99.000000 -6.893754 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 1.8039742193146312D-13 log_rel_run_E_err -10.1531561595215134 (age_target - star_age)/age_sigma 420 6.5284269653 reducing max timestep prior to age target 420 4.2434775274382591D+07 (age_target - star_age)/age_sigma 421 6.4028550096 reducing max timestep prior to age target 421 4.1618557562300682D+07 (age_target - star_age)/age_sigma 423 6.1567339764 reducing max timestep prior to age target 423 4.0018770846619606D+07 (age_target - star_age)/age_sigma 424 6.0361346701 reducing max timestep prior to age target 424 3.9234875355936050D+07 (age_target - star_age)/age_sigma 425 5.9179473500 reducing max timestep prior to age target 425 3.8466657775065422D+07 (age_target - star_age)/age_sigma 426 5.8021237763 reducing max timestep prior to age target 426 3.7713804545812607D+07 (age_target - star_age)/age_sigma 427 5.6886166740 reducing max timestep prior to age target 427 3.6976008381145477D+07 (age_target - star_age)/age_sigma 428 5.5773797138 reducing max timestep prior to age target 428 3.6252968139770508D+07 (age_target - star_age)/age_sigma 429 5.4683674928 reducing max timestep prior to age target 429 3.5544388703224182D+07 430 7.182471 5653.857 -0.041802 -0.041802 1.000000 1.000000 0.383402 0.005266 0.238597 -1.528467 510 1 5.8416E+00 7.182471 -0.002908 -43.310717 -1.672325 -99.000000 0.000000 0.596226 0.008974 0.017619 0.115801 3 4.5347E+09 2.147458 -0.041744 -99.000000 -99.000000 -6.893930 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 2.0484322952747628D-13 log_rel_run_E_err -10.1416502529242063 (age_target - star_age)/age_sigma 430 5.3615355162 reducing max timestep prior to age target 430 3.4849980855407715D+07 (age_target - star_age)/age_sigma 431 5.2568401792 reducing max timestep prior to age target 431 3.4169461164547920D+07 (age_target - star_age)/age_sigma 432 5.1542387488 reducing max timestep prior to age target 432 3.3502551867506027D+07 (age_target - star_age)/age_sigma 433 5.0536893471 reducing max timestep prior to age target 433 3.2848980756403923D+07 (age_target - star_age)/age_sigma 434 4.9545973992 remaining steps and years until age target 434 50 3.2204883094513893D+07 (age_target - star_age)/age_sigma 435 4.8555054512 remaining steps and years until age target 435 49 3.1560785432623863D+07 (age_target - star_age)/age_sigma 436 4.7564135032 remaining steps and years until age target 436 48 3.0916687770733833D+07 (age_target - star_age)/age_sigma 437 4.6573215552 remaining steps and years until age target 437 47 3.0272590108843803D+07 (age_target - star_age)/age_sigma 438 4.5582296072 remaining steps and years until age target 438 46 2.9628492446953773D+07 (age_target - star_age)/age_sigma 439 4.4591376592 remaining steps and years until age target 439 45 2.8984394785063744D+07 440 7.182581 5653.988 -0.041586 -0.041586 1.000000 1.000000 0.382881 0.005268 0.238562 -1.528179 510 1 5.8090E+00 7.182581 -0.002820 -43.303542 -1.671978 -99.000000 0.000000 0.596746 0.008973 0.017617 0.115868 3 4.5412E+09 2.147902 -0.041528 -99.000000 -99.000000 -6.894080 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt rel_E_err 1.7824012168688588D-13 log_rel_run_E_err -10.1307909354425298 (age_target - star_age)/age_sigma 440 4.3600457113 remaining steps and years until age target 440 44 2.8340297123173714D+07 (age_target - star_age)/age_sigma 441 4.2609537633 remaining steps and years until age target 441 43 2.7696199461283684D+07 (age_target - star_age)/age_sigma 442 4.1618618153 reducing max timestep prior to age target 442 2.7052101799392700D+07 (age_target - star_age)/age_sigma 443 4.0627698673 remaining steps and years until age target 443 41 2.6408004137502670D+07 (age_target - star_age)/age_sigma 444 3.9636779193 remaining steps and years until age target 444 40 2.5763906475612640D+07 (age_target - star_age)/age_sigma 445 3.8645859713 remaining steps and years until age target 445 39 2.5119808813722610D+07 (age_target - star_age)/age_sigma 446 3.7654940234 remaining steps and years until age target 446 38 2.4475711151832581D+07 (age_target - star_age)/age_sigma 447 3.6664020754 remaining steps and years until age target 447 37 2.3831613489942551D+07 (age_target - star_age)/age_sigma 448 3.5673101274 remaining steps and years until age target 448 36 2.3187515828052521D+07 (age_target - star_age)/age_sigma 449 3.4682181794 remaining steps and years until age target 449 35 2.2543418166162491D+07 450 7.182690 5654.117 -0.041372 -0.041372 1.000000 1.000000 0.382365 0.005269 0.238528 -1.527895 510 1 5.8090E+00 7.182690 -0.002733 -43.296439 -1.671635 -99.000000 0.000000 0.597262 0.008971 0.017615 0.115934 3 4.5476E+09 2.148343 -0.041314 -99.000000 -99.000000 -6.894229 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt rel_E_err 1.8059382523921396D-13 log_rel_run_E_err -10.1200668480130105 (age_target - star_age)/age_sigma 450 3.3691262314 remaining steps and years until age target 450 34 2.1899320504272461D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2700342834 reducing max timestep prior to age target 451 2.1255222842381477D+07 (age_target - star_age)/age_sigma 452 3.1709423355 remaining steps and years until age target 452 32 2.0611125180491447D+07 (age_target - star_age)/age_sigma 453 3.0718503875 remaining steps and years until age target 453 31 1.9967027518601418D+07 (age_target - star_age)/age_sigma 454 2.9727584395 remaining steps and years until age target 454 30 1.9322929856711388D+07 (age_target - star_age)/age_sigma 455 2.8736664915 remaining steps and years until age target 455 29 1.8678832194821358D+07 (age_target - star_age)/age_sigma 456 2.7745745435 reducing max timestep prior to age target 456 1.8034734532930374D+07 (age_target - star_age)/age_sigma 457 2.6754825955 remaining steps and years until age target 457 27 1.7390636871040344D+07 (age_target - star_age)/age_sigma 458 2.5763906476 remaining steps and years until age target 458 26 1.6746539209150314D+07 (age_target - star_age)/age_sigma 459 2.4772986996 remaining steps and years until age target 459 25 1.6102441547260284D+07 460 7.182800 5654.246 -0.041158 -0.041158 1.000000 1.000000 0.381849 0.005271 0.238494 -1.527610 510 1 5.8090E+00 7.182800 -0.002646 -43.289331 -1.671291 -99.000000 0.000000 0.597777 0.008970 0.017612 0.116000 3 4.5540E+09 2.148784 -0.041100 -99.000000 -99.000000 -6.894378 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt rel_E_err 1.8144605925758715D-13 log_rel_run_E_err -10.1096342104760151 (age_target - star_age)/age_sigma 460 2.3782067516 reducing max timestep prior to age target 460 1.5458343885369301D+07 (age_target - star_age)/age_sigma 461 2.2791148036 reducing max timestep prior to age target 461 1.4814246223478317D+07 (age_target - star_age)/age_sigma 462 2.1800228556 remaining steps and years until age target 462 22 1.4170148561588287D+07 (age_target - star_age)/age_sigma 463 2.0809309076 remaining steps and years until age target 463 21 1.3526050899698257D+07 (age_target - star_age)/age_sigma 464 1.9818389597 reducing max timestep prior to age target 464 1.2881953237807274D+07 (age_target - star_age)/age_sigma 465 1.8827470117 remaining steps and years until age target 465 19 1.2237855575917244D+07 (age_target - star_age)/age_sigma 466 1.7836550637 remaining steps and years until age target 466 18 1.1593757914027214D+07 (age_target - star_age)/age_sigma 467 1.6845631157 remaining steps and years until age target 467 17 1.0949660252137184D+07 (age_target - star_age)/age_sigma 468 1.5854711677 reducing max timestep prior to age target 468 1.0305562590246201D+07 (age_target - star_age)/age_sigma 469 1.4863792197 reducing max timestep prior to age target 469 9.6614649283552170D+06 470 7.182909 5654.375 -0.040944 -0.040944 1.000000 1.000000 0.381333 0.005272 0.238459 -1.527324 510 1 5.8090E+00 7.182909 -0.002559 -43.282219 -1.670946 -99.000000 0.000000 0.598293 0.008969 0.017610 0.116066 3 4.5605E+09 2.149225 -0.040886 -99.000000 -99.000000 -6.894527 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt rel_E_err 1.9237826515975591D-13 log_rel_run_E_err -10.0990372463840590 (age_target - star_age)/age_sigma 470 1.3872872718 remaining steps and years until age target 470 14 9.0173672664651871D+06 (age_target - star_age)/age_sigma 471 1.2881953238 remaining steps and years until age target 471 13 8.3732696045751572D+06 (age_target - star_age)/age_sigma 472 1.1891033758 reducing max timestep prior to age target 472 7.7291719426841736D+06 (age_target - star_age)/age_sigma 473 1.0900114278 remaining steps and years until age target 473 11 7.0850742807941437D+06 (age_target - star_age)/age_sigma 474 0.9909194798 remaining steps and years until age target 474 10 6.4409766189041138D+06 (age_target - star_age)/age_sigma 475 0.8918275318 remaining steps and years until age target 475 9 5.7968789570140839D+06 (age_target - star_age)/age_sigma 476 0.7927355839 reducing max timestep prior to age target 476 5.1527812951231003D+06 (age_target - star_age)/age_sigma 477 0.6936436359 reducing max timestep prior to age target 477 4.5086836332321167D+06 (age_target - star_age)/age_sigma 478 0.5945516879 remaining steps and years until age target 478 6 3.8645859713420868D+06 (age_target - star_age)/age_sigma 479 0.4954597399 remaining steps and years until age target 479 5 3.2204883094520569D+06 480 7.183019 5654.504 -0.040730 -0.040730 1.000000 1.000000 0.380817 0.005274 0.238425 -1.527039 510 1 5.8090E+00 7.183019 -0.002472 -43.275103 -1.670602 -99.000000 0.000000 0.598808 0.008967 0.017608 0.116133 3 4.5669E+09 2.149666 -0.040672 -99.000000 -99.000000 -6.894676 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt rel_E_err 1.7993345437953021D-13 log_rel_run_E_err -10.0891276732260664 (age_target - star_age)/age_sigma 480 0.3963677919 reducing max timestep prior to age target 480 2.5763906475610733D+06 (age_target - star_age)/age_sigma 481 0.2972758439 remaining steps and years until age target 481 3 1.9322929856710434D+06 (age_target - star_age)/age_sigma 482 0.1981838960 reducing max timestep prior to age target 482 1.2881953237800598D+06 (age_target - star_age)/age_sigma 483 0.0990919480 remaining steps and years until age target 483 1 6.4409766189098358D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 484 333406.52 0.00 333406.52 save outputs/best.mod 484 save outputs/best.profile for model 484 save LOGS/profile11.data for model 484 have reached age_target save LOGS/profile11.data for model 484 solver retries 11 varcontrol dt limit 326 max increase dt limit 4291 lgTeff dt limit 2 lgRho_cntr dt limit 147 model saved to final.mod save photos/x484 for model 484 chi^2 combined, chi^2 seismo, chi^2 spectro 484 333406.52 0.00 333406.52 have reached age_target runtime (minutes), retries, steps 2.85 1 484 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 484 7.183063 5654.555 -0.040644 -0.040644 1.000000 1.000000 0.380610 0.005275 0.238411 -1.526925 510 1 5.8090E+00 7.183063 -0.002437 -43.272255 -1.670464 -99.000000 0.000000 0.599015 0.008967 0.017607 0.116159 3 4.5695E+09 2.149843 -0.040586 -15.954590 -99.000000 -6.894736 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt rel_E_err 1.7328296860675075D-13 log_rel_run_E_err -10.0852271475516062 Teff 5654.5553077455 radius 0.9944047841 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 31.3064406304 M_H 0.0137200319 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 188.2392759057 log_R -0.0024367949 delta_nu 142.6869845993 nu_max 3144.8949160904 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2639234877 initial_FeH 0.0687309476 alpha 2.1113627005 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 333406.5152388453 model number 484 save best model results to outputs/sample_0008.data current set of sample results 1 2 3 4 5 6 7 8 samples version_number compiler build MESA_SDK_version math_backend date search_type 8 "7067e26" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251202" "newuoa" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first 5 3.3333875998557516E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615172099E+03 1.0010042019474874E+00 3.9078811617172336E-03 4.3590053503975688E-04 1.4131272100397655E+02 3.1134409186002090E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557516E+05 0 0 0 0 0 0 0 4 3.3337679267851776E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620732275E+03 1.0114129282002264E+00 3.5086386214787716E-04 4.9285006215553989E-03 1.3913658568066575E+02 3.0234851123016156E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851776E+05 0 0 0 0 0 0 0 8 3.3340651523884531E+05 1.0000000000000000E+00 2.6392348767540097E-01 6.8730947586409255E-02 2.1113627004786664E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.6545553077454879E+03 9.9440478413013467E-01 1.3720031920723309E-02 -2.4367949493559636E-03 1.4268698459934424E+02 3.1448949160903817E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3340651523884531E+05 0 0 0 0 0 0 0 1 3.3351283960191364E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763963E+03 1.0231407131234020E+00 -1.7395981953360481E-03 9.9353665865702778E-03 1.3680762272705823E+02 2.9640776267831352E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191364E+05 0 0 0 0 0 0 0 3 3.3365606602481316E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367450E+03 1.0099970103007068E+00 2.9466215560994696E-02 4.3200882263779048E-03 1.3947582155333197E+02 3.0536692076808167E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602481316E+05 0 0 0 0 0 0 0 7 3.3406760982455959E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 485 5.6094738263482213E+03 1.0464328056395011E+00 -6.8428089351476934E-03 1.9711346313603707E-02 1.3236179960507457E+02 2.8513335296370001E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3406760982455959E+05 0 0 0 0 0 0 0 6 3.3418048986539035E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558236477E+03 1.0372797593388121E+00 -3.3936545784909809E-02 1.5895903497377413E-02 1.3402431816161774E+02 2.8735532959069524E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986539035E+05 0 0 0 0 0 0 0 2 3.3468070564326138E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271320E+03 1.0622782375814146E+00 -1.2788199777018321E-02 2.6238284372326726E-02 1.2938435093834121E+02 2.7294282123454341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326138E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data DATE: 2025-12-02 TIME: 22:15:37 finished inlist_fast_newuoa_header DATE: 2025-12-02 TIME: 22:15:37 finished fast_newuoa run: test string matches after ./rn