DATE: 2025-10-21 TIME: 21:32:08 run inlist_fast_newuoa_header DATE: 2025-10-21 TIME: 21:32:08 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 13a2611 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 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -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 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -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 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -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 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -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 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 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 3.9562811873924580D-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 1.8246326219905981D-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 -21.674160 -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 2.4692961186459535D-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 2.5927188888187826D-13 log_rel_run_E_err -11.5746692641032443 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 -20.771070 -99.000000 -6.905564 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.8553434307647922D-13 log_rel_run_E_err -11.2672013612099455 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 2.6281080070879465D-13 log_rel_run_E_err -11.0975277581045386 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 2.5834059337322431D-13 log_rel_run_E_err -10.9774435192899222 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 -99.000000 -99.000000 -6.905122 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6206574932542465D-13 log_rel_run_E_err -10.8801205596203747 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 2.5312525135814796D-13 log_rel_run_E_err -10.8022724141556736 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 -99.000000 -99.000000 -6.905088 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5982999285507096D-13 log_rel_run_E_err -10.7360036067037807 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 2.5274879467199788D-13 log_rel_run_E_err -10.6783793635816568 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 -20.470040 -99.000000 -6.905021 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6948940514476902D-13 log_rel_run_E_err -10.6270988074343862 __________________________________________________________________________________________________________________________________________________ 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 2.5539012993224667D-13 log_rel_run_E_err -10.5817910896372087 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 -20.169010 -99.000000 -6.902474 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5551189541290139D-13 log_rel_run_E_err -10.5425549811164707 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 -20.470040 -99.000000 -6.889335 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6203779162929561D-13 log_rel_run_E_err -10.4972771936125842 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 -99.000000 -99.000000 -6.821859 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5336931517398120D-13 log_rel_run_E_err -10.2072699470873101 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 -19.265920 -99.000000 -6.662570 0.000000 0.003227 0.001952 0.018726 0.000E+00 varcontrol rel_E_err 2.4387787231144521D-13 log_rel_run_E_err -10.2919276121526959 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 -99.000000 -99.000000 -6.716472 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.0768920207796672D-13 log_rel_run_E_err -10.3288776803453182 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 -15.954590 -99.000000 -6.845417 0.000000 0.003212 0.001952 0.018730 0.000E+00 lgRho_cntr rel_E_err 1.6686705864072973D-13 log_rel_run_E_err -10.4729657184687746 (age_target - star_age)/age_sigma 169 694.4614868139 reducing max timestep prior to age target 169 4.5139996642903852D+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 1.8321079931073907D-13 log_rel_run_E_err -10.5045562094057754 (age_target - star_age)/age_sigma 176 680.1699322278 reducing max timestep prior to age target 176 4.4211045594805107D+09 (age_target - star_age)/age_sigma 179 665.7379903875 reducing max timestep prior to age target 179 4.3272969375187664D+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 -15.352530 -99.000000 -6.816863 0.000000 0.000014 0.001956 0.019297 0.000E+00 max increase rel_E_err 1.7850044592968647D-13 log_rel_run_E_err -10.4817877145802107 (age_target - star_age)/age_sigma 181 650.6653337666 reducing max timestep prior to age target 181 4.2293246694831171D+09 (age_target - star_age)/age_sigma 182 640.7995948875 reducing max timestep prior to age target 182 4.1651973667688732D+09 (age_target - star_age)/age_sigma 184 616.6417643749 reducing max timestep prior to age target 184 4.0081714684368014D+09 (age_target - star_age)/age_sigma 185 604.5691993944 reducing max timestep prior to age target 185 3.9296997960633211D+09 (age_target - star_age)/age_sigma 186 592.7380857134 reducing max timestep prior to age target 186 3.8527975571373110D+09 (age_target - star_age)/age_sigma 187 581.1435943061 reducing max timestep prior to age target 187 3.7774333629898205D+09 (age_target - star_age)/age_sigma 188 569.7809927270 reducing max timestep prior to age target 188 3.7035764527252803D+09 (age_target - star_age)/age_sigma 189 558.6456431794 reducing max timestep prior to age target 189 3.6311966806660309D+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 1.8874806014845696D-13 log_rel_run_E_err -10.4589200283402199 (age_target - star_age)/age_sigma 190 547.7330006228 reducing max timestep prior to age target 190 3.5602645040479660D+09 (age_target - star_age)/age_sigma 191 537.0386109173 reducing max timestep prior to age target 191 3.4907509709622631D+09 (age_target - star_age)/age_sigma 192 526.5581090059 reducing max timestep prior to age target 192 3.4226277085382738D+09 (age_target - star_age)/age_sigma 193 516.2872171327 reducing max timestep prior to age target 193 3.3558669113627644D+09 (age_target - star_age)/age_sigma 194 506.2217430970 reducing max timestep prior to age target 194 3.2904413301307654D+09 (age_target - star_age)/age_sigma 195 496.3575785421 reducing max timestep prior to age target 195 3.2263242605234060D+09 (age_target - star_age)/age_sigma 196 486.6906972782 reducing max timestep prior to age target 196 3.1634895323081942D+09 (age_target - star_age)/age_sigma 197 477.2171536396 reducing max timestep prior to age target 197 3.1019114986572862D+09 (age_target - star_age)/age_sigma 198 467.9330808738 reducing max timestep prior to age target 198 3.0415650256793966D+09 (age_target - star_age)/age_sigma 199 458.8346895632 reducing max timestep prior to age target 199 2.9824254821610646D+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 1.7297639393457139D-13 log_rel_run_E_err -10.4378104708372899 (age_target - star_age)/age_sigma 200 449.9182660789 reducing max timestep prior to age target 200 2.9244687295130997D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.1801710643 reducing max timestep prior to age target 201 2.8676711119180937D+09 (age_target - star_age)/age_sigma 202 432.6168379500 reducing max timestep prior to age target 202 2.8120094466749878D+09 (age_target - star_age)/age_sigma 203 424.2247714980 reducing max timestep prior to age target 203 2.7574610147367439D+09 (age_target - star_age)/age_sigma 204 416.0005463750 reducing max timestep prior to age target 204 2.7040035514372654D+09 (age_target - star_age)/age_sigma 205 407.9408057544 reducing max timestep prior to age target 205 2.6516152374037762D+09 (age_target - star_age)/age_sigma 206 400.0422599463 reducing max timestep prior to age target 206 2.6002746896509566D+09 (age_target - star_age)/age_sigma 207 392.3016850543 reducing max timestep prior to age target 207 2.5499609528531938D+09 (age_target - star_age)/age_sigma 208 384.7159216602 reducing max timestep prior to age target 208 2.5006534907913857D+09 (age_target - star_age)/age_sigma 209 377.2818735340 reducing max timestep prior to age target 209 2.4523321779708142D+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 -15.477469 -99.000000 -6.854868 0.000000 0.000016 0.001981 0.019552 0.000E+00 max_dt rel_E_err 1.8153826772540957D-13 log_rel_run_E_err -10.4170207818244158 (age_target - star_age)/age_sigma 210 369.9965063703 reducing max timestep prior to age target 210 2.4049772914066539D+09 (age_target - star_age)/age_sigma 211 362.8568465498 reducing max timestep prior to age target 211 2.3585695025737772D+09 (age_target - star_age)/age_sigma 212 355.8599799258 reducing max timestep prior to age target 212 2.3130898695175576D+09 (age_target - star_age)/age_sigma 213 349.0030506342 reducing max timestep prior to age target 213 2.2685198291224627D+09 (age_target - star_age)/age_sigma 214 342.2832599285 reducing max timestep prior to age target 214 2.2248411895352697D+09 (age_target - star_age)/age_sigma 215 335.6978650369 reducing max timestep prior to age target 215 2.1820361227398205D+09 (age_target - star_age)/age_sigma 217 322.7904910493 reducing max timestep prior to age target 217 2.0981381918207402D+09 (age_target - star_age)/age_sigma 218 316.4658777954 reducing max timestep prior to age target 218 2.0570282056703906D+09 (age_target - star_age)/age_sigma 219 310.2677568066 reducing max timestep prior to age target 219 2.0167404192430482D+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 1.9121457702938274D-13 log_rel_run_E_err -10.3975060582408805 (age_target - star_age)/age_sigma 220 304.1935982376 reducing max timestep prior to age target 220 1.9772583885442524D+09 (age_target - star_age)/age_sigma 221 298.2409228399 reducing max timestep prior to age target 221 1.9385659984594326D+09 (age_target - star_age)/age_sigma 222 292.4073009502 reducing max timestep prior to age target 222 1.9006474561763096D+09 (age_target - star_age)/age_sigma 223 286.6903514983 reducing max timestep prior to age target 223 1.8634872847388487D+09 (age_target - star_age)/age_sigma 224 281.0877410354 reducing max timestep prior to age target 224 1.8270703167301373D+09 (age_target - star_age)/age_sigma 225 275.5971827818 reducing max timestep prior to age target 225 1.7913816880815997D+09 (age_target - star_age)/age_sigma 226 270.2164356932 reducing max timestep prior to age target 226 1.7564068320060329D+09 (age_target - star_age)/age_sigma 227 264.9433035465 reducing max timestep prior to age target 227 1.7221314730519776D+09 (age_target - star_age)/age_sigma 228 259.7756340426 reducing max timestep prior to age target 228 1.6885416212770038D+09 (age_target - star_age)/age_sigma 229 254.7113179289 reducing max timestep prior to age target 229 1.6556235665375290D+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 -99.000000 -99.000000 -6.872147 0.000000 0.000017 0.001992 0.019647 0.000E+00 max_dt rel_E_err 1.7624001449832636D-13 log_rel_run_E_err -10.3785226253412635 (age_target - star_age)/age_sigma 230 249.7482881374 reducing max timestep prior to age target 230 1.6233638728928437D+09 (age_target - star_age)/age_sigma 231 244.8845189417 reducing max timestep prior to age target 231 1.5917493731210523D+09 (age_target - star_age)/age_sigma 232 240.1180251300 reducing max timestep prior to age target 232 1.5607671633446965D+09 (age_target - star_age)/age_sigma 233 235.4468611944 reducing max timestep prior to age target 233 1.5304045977638679D+09 (age_target - star_age)/age_sigma 234 230.8691205376 reducing max timestep prior to age target 234 1.5006492834946561D+09 (age_target - star_age)/age_sigma 235 226.3829346940 reducing max timestep prior to age target 235 1.4714890755108280D+09 (age_target - star_age)/age_sigma 236 221.9864725672 reducing max timestep prior to age target 236 1.4429120716866770D+09 (age_target - star_age)/age_sigma 237 217.6779396829 reducing max timestep prior to age target 237 1.4149066079390087D+09 (age_target - star_age)/age_sigma 238 213.4555774564 reducing max timestep prior to age target 238 1.3874612534662938D+09 (age_target - star_age)/age_sigma 239 209.3176624743 reducing max timestep prior to age target 239 1.3605648060830336D+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 -99.000000 -99.000000 -6.878799 0.000000 0.000017 0.001996 0.019680 0.000E+00 max_dt rel_E_err 1.9717531214907132D-13 log_rel_run_E_err -10.3605523152910308 (age_target - star_age)/age_sigma 240 205.2625057919 reducing max timestep prior to age target 240 1.3342062876474385D+09 (age_target - star_age)/age_sigma 241 201.2884522432 reducing max timestep prior to age target 241 1.3083749395805545D+09 (age_target - star_age)/age_sigma 242 197.3938797654 reducing max timestep prior to age target 242 1.2830602184750090D+09 (age_target - star_age)/age_sigma 243 193.5771987372 reducing max timestep prior to age target 243 1.2582517917915740D+09 (age_target - star_age)/age_sigma 244 189.8368513295 reducing max timestep prior to age target 244 1.2339395336418080D+09 (age_target - star_age)/age_sigma 245 186.1713108700 reducing max timestep prior to age target 245 1.2101135206550374D+09 (age_target - star_age)/age_sigma 246 182.5790812197 reducing max timestep prior to age target 246 1.1867640279280024D+09 (age_target - star_age)/age_sigma 247 179.0586961624 reducing max timestep prior to age target 247 1.1638815250555072D+09 (age_target - star_age)/age_sigma 248 175.6087188062 reducing max timestep prior to age target 248 1.1414566722404623D+09 (age_target - star_age)/age_sigma 249 172.2277409972 reducing max timestep prior to age target 249 1.1194803164817181D+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 1.8000990086347985D-13 log_rel_run_E_err -10.3427194322223546 (age_target - star_age)/age_sigma 250 168.9143827443 reducing max timestep prior to age target 250 1.0979434878381495D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 252 162.4202005687 reducing max timestep prior to age target 252 1.0557313036967545D+09 (age_target - star_age)/age_sigma 253 159.2380513027 reducing max timestep prior to age target 253 1.0350473334674706D+09 (age_target - star_age)/age_sigma 254 156.1195450220 reducing max timestep prior to age target 254 1.0147770426427727D+09 (age_target - star_age)/age_sigma 255 153.0634088669 reducing max timestep prior to age target 255 9.9491215763456869D+08 (age_target - star_age)/age_sigma 256 150.0683954349 reducing max timestep prior to age target 256 9.7544457032652855D+08 (age_target - star_age)/age_sigma 257 147.1332822715 reducing max timestep prior to age target 257 9.5636633476464987D+08 (age_target - star_age)/age_sigma 258 144.2568713714 reducing max timestep prior to age target 258 9.3766966391400814D+08 (age_target - star_age)/age_sigma 259 141.4379886893 reducing max timestep prior to age target 259 9.1934692648037910D+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 1.8666017248390548D-13 log_rel_run_E_err -10.3256901969009380 (age_target - star_age)/age_sigma 260 138.6754836608 reducing max timestep prior to age target 260 9.0139064379542303D+08 (age_target - star_age)/age_sigma 261 135.9682287329 reducing max timestep prior to age target 261 8.8379348676416588D+08 (age_target - star_age)/age_sigma 262 133.3151189036 reducing max timestep prior to age target 262 8.6654827287353420D+08 (age_target - star_age)/age_sigma 263 130.7150712709 reducing max timestep prior to age target 263 8.4964796326071501D+08 (age_target - star_age)/age_sigma 264 128.1670245908 reducing max timestep prior to age target 264 8.3308565984015226D+08 (age_target - star_age)/age_sigma 265 125.6699388443 reducing max timestep prior to age target 265 8.1685460248800039D+08 (age_target - star_age)/age_sigma 266 123.2227948128 reducing max timestep prior to age target 266 8.0094816628289175D+08 (age_target - star_age)/age_sigma 267 120.8245936618 reducing max timestep prior to age target 267 7.8535985880188560D+08 (age_target - star_age)/age_sigma 268 118.4743565339 reducing max timestep prior to age target 268 7.7008331747049904D+08 (age_target - star_age)/age_sigma 269 116.1711241486 reducing max timestep prior to age target 269 7.5511230696574020D+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 -15.352530 -99.000000 -6.892913 0.000000 0.000018 0.002003 0.019740 0.000E+00 max_dt rel_E_err 1.8777986780155926D-13 log_rel_run_E_err -10.3090125008995521 (age_target - star_age)/age_sigma 270 113.9139564109 reducing max timestep prior to age target 270 7.4044071667107725D+08 (age_target - star_age)/age_sigma 271 111.7019320280 reducing max timestep prior to age target 271 7.2606255818230677D+08 (age_target - star_age)/age_sigma 272 109.5341481328 reducing max timestep prior to age target 272 7.1197196286331224D+08 (age_target - star_age)/age_sigma 273 107.4097199155 reducing max timestep prior to age target 273 6.9816317945069742D+08 (age_target - star_age)/age_sigma 274 105.3277802625 reducing max timestep prior to age target 274 6.8463057170633507D+08 (age_target - star_age)/age_sigma 275 103.2874794026 reducing max timestep prior to age target 275 6.7136861611685944D+08 (age_target - star_age)/age_sigma 276 101.2879845599 reducing max timestep prior to age target 276 6.5837189963917351D+08 (age_target - star_age)/age_sigma 277 99.3284796140 reducing max timestep prior to age target 277 6.4563511749104166D+08 (age_target - star_age)/age_sigma 278 97.4081647671 reducing max timestep prior to age target 278 6.3315307098587227D+08 (age_target - star_age)/age_sigma 279 95.5262562170 reducing max timestep prior to age target 279 6.2092066541080618D+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 6 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 2.0259370734166991D-13 log_rel_run_E_err -10.2925259247448082 (age_target - star_age)/age_sigma 280 93.6819858380 reducing max timestep prior to age target 280 6.0893290794724178D+08 (age_target - star_age)/age_sigma 281 91.8746008666 reducing max timestep prior to age target 281 5.9718490563294792D+08 (age_target - star_age)/age_sigma 282 90.1033635946 reducing max timestep prior to age target 282 5.8567186336494017D+08 (age_target - star_age)/age_sigma 283 88.3675510680 reducing max timestep prior to age target 283 5.7438908194229269D+08 (age_target - star_age)/age_sigma 284 86.6664547920 reducing max timestep prior to age target 284 5.6333195614809847D+08 (age_target - star_age)/age_sigma 285 84.9993804415 reducing max timestep prior to age target 285 5.5249597286978769D+08 (age_target - star_age)/age_sigma 287 81.7319147145 reducing max timestep prior to age target 287 5.3125744564429951D+08 (age_target - star_age)/age_sigma 288 80.1308565083 reducing max timestep prior to age target 288 5.2085056730381012D+08 (age_target - star_age)/age_sigma 289 78.5618194662 reducing max timestep prior to age target 289 5.1065182653013039D+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 5 4.0688E+09 2.139607 -0.025580 -99.000000 -99.000000 -6.898729 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.9309212760828480D-13 log_rel_run_E_err -10.2766214999176562 (age_target - star_age)/age_sigma 290 77.0241631649 reducing max timestep prior to age target 290 5.0065706057192421D+08 (age_target - star_age)/age_sigma 291 75.5172599897 reducing max timestep prior to age target 291 4.9086218993288279D+08 (age_target - star_age)/age_sigma 292 74.0404948779 reducing max timestep prior to age target 292 4.8126321670662165D+08 (age_target - star_age)/age_sigma 293 72.5932650684 reducing max timestep prior to age target 293 4.7185622294488573D+08 (age_target - star_age)/age_sigma 294 71.1749798551 reducing max timestep prior to age target 294 4.6263736905838394D+08 (age_target - star_age)/age_sigma 295 69.7850603461 reducing max timestep prior to age target 295 4.5360289224961281D+08 (age_target - star_age)/age_sigma 296 68.4229392272 reducing max timestep prior to age target 296 4.4474910497701740D+08 (age_target - star_age)/age_sigma 297 67.0880605307 reducing max timestep prior to age target 297 4.3607239344987345D+08 (age_target - star_age)/age_sigma 298 65.7798794082 reducing max timestep prior to age target 298 4.2756921615327263D+08 (age_target - star_age)/age_sigma 299 64.4978619081 reducing max timestep prior to age target 299 4.1923610240260363D+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 -15.954590 -99.000000 -6.900918 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.9726900979344760D-13 log_rel_run_E_err -10.2611801633758901 (age_target - star_age)/age_sigma 300 63.2414847580 reducing max timestep prior to age target 300 4.1106965092694807D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0102351509 reducing max timestep prior to age target 301 4.0306652848080587D+08 (age_target - star_age)/age_sigma 302 60.8036105359 reducing max timestep prior to age target 302 3.9522346848358631D+08 (age_target - star_age)/age_sigma 303 59.6211184133 reducing max timestep prior to age target 303 3.8753726968631077D+08 (age_target - star_age)/age_sigma 304 58.4622761331 reducing max timestep prior to age target 304 3.8000479486498070D+08 (age_target - star_age)/age_sigma 305 57.3266106985 reducing max timestep prior to age target 305 3.7262296954007769D+08 (age_target - star_age)/age_sigma 306 56.2136585726 reducing max timestep prior to age target 306 3.6538878072167253D+08 (age_target - star_age)/age_sigma 307 55.1229654892 reducing max timestep prior to age target 307 3.5829927567963552D+08 (age_target - star_age)/age_sigma 308 54.0540862675 reducing max timestep prior to age target 308 3.5135156073843956D+08 (age_target - star_age)/age_sigma 309 53.0065846302 reducing max timestep prior to age target 309 3.4454280009606695D+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 -15.653560 -99.000000 -6.902721 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.8824210830670411D-13 log_rel_run_E_err -10.2466481027464109 (age_target - star_age)/age_sigma 310 51.9800330256 reducing max timestep prior to age target 310 3.3787021466654253D+08 (age_target - star_age)/age_sigma 311 50.9740124532 reducing max timestep prior to age target 311 3.3133108094560814D+08 (age_target - star_age)/age_sigma 312 49.9881122922 reducing max timestep prior to age target 312 3.2492272989909267D+08 (age_target - star_age)/age_sigma 313 49.0219301344 reducing max timestep prior to age target 313 3.1864254587350702D+08 (age_target - star_age)/age_sigma 314 48.0750716198 reducing max timestep prior to age target 314 3.1248796552843380D+08 (age_target - star_age)/age_sigma 315 47.1471502754 reducing max timestep prior to age target 315 3.0645647679026127D+08 (age_target - star_age)/age_sigma 316 46.2377873580 reducing max timestep prior to age target 316 3.0054561782685280D+08 (age_target - star_age)/age_sigma 317 45.3466116989 reducing max timestep prior to age target 317 2.9475297604271221D+08 (age_target - star_age)/age_sigma 318 44.4732595530 reducing max timestep prior to age target 318 2.8907618709425402D+08 (age_target - star_age)/age_sigma 319 43.6173744500 reducing max timestep prior to age target 319 2.8351293392476559D+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 1.9074309553115033D-13 log_rel_run_E_err -10.2324855119312250 (age_target - star_age)/age_sigma 321 41.9398396481 reducing max timestep prior to age target 321 2.7260895771256733D+08 (age_target - star_age)/age_sigma 322 41.1178475952 reducing max timestep prior to age target 322 2.6726600936859035D+08 (age_target - star_age)/age_sigma 323 40.3122953833 reducing max timestep prior to age target 323 2.6202991999149323D+08 (age_target - star_age)/age_sigma 324 39.5228542157 reducing max timestep prior to age target 324 2.5689855240193844D+08 (age_target - star_age)/age_sigma 325 38.7492018714 reducing max timestep prior to age target 325 2.5186981216417408D+08 (age_target - star_age)/age_sigma 326 37.9910225740 reducing max timestep prior to age target 326 2.4694164673116493D+08 (age_target - star_age)/age_sigma 327 37.2480068626 reducing max timestep prior to age target 327 2.4211204460681629D+08 (age_target - star_age)/age_sigma 328 36.5198514654 reducing max timestep prior to age target 328 2.3737903452495480D+08 (age_target - star_age)/age_sigma 329 35.8062591761 reducing max timestep prior to age target 329 2.3274068464473057D+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 -99.000000 -99.000000 -6.905439 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.7791176958648524D-13 log_rel_run_E_err -10.2189164778251378 (age_target - star_age)/age_sigma 330 35.1069387326 reducing max timestep prior to age target 330 2.2819510176210976D+08 (age_target - star_age)/age_sigma 331 34.4216046980 reducing max timestep prior to age target 331 2.2374043053714275D+08 (age_target - star_age)/age_sigma 332 33.7499773441 reducing max timestep prior to age target 332 2.1937485273667431D+08 (age_target - star_age)/age_sigma 333 33.0917825373 reducing max timestep prior to age target 333 2.1509658649221516D+08 (age_target - star_age)/age_sigma 334 32.4467516266 reducing max timestep prior to age target 334 2.1090388557264519D+08 (age_target - star_age)/age_sigma 335 31.8146213341 reducing max timestep prior to age target 335 2.0679503867146683D+08 (age_target - star_age)/age_sigma 336 31.1951336474 reducing max timestep prior to age target 336 2.0276836870831203D+08 (age_target - star_age)/age_sigma 337 30.5880357145 reducing max timestep prior to age target 337 1.9882223214442062D+08 (age_target - star_age)/age_sigma 338 29.9930797403 reducing max timestep prior to age target 338 1.9495501831180668D+08 (age_target - star_age)/age_sigma 339 29.4100228855 reducing max timestep prior to age target 339 1.9116514875584507D+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 -99.000000 -99.000000 -6.906452 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt rel_E_err 1.9108362659858858D-13 log_rel_run_E_err -10.2054044951720666 (age_target - star_age)/age_sigma 340 28.8386271678 reducing max timestep prior to age target 340 1.8745107659100246D+08 (age_target - star_age)/age_sigma 341 28.2786593645 reducing max timestep prior to age target 341 1.8381128586945724D+08 (age_target - star_age)/age_sigma 342 27.7298909173 reducing max timestep prior to age target 342 1.8024429096234322D+08 (age_target - star_age)/age_sigma 343 27.1920978390 reducing max timestep prior to age target 343 1.7674863595337009D+08 (age_target - star_age)/age_sigma 344 26.6650606222 reducing max timestep prior to age target 344 1.7332289404457760D+08 (age_target - star_age)/age_sigma 345 26.1485641498 reducing max timestep prior to age target 345 1.6996566697396088D+08 (age_target - star_age)/age_sigma 346 25.6423976069 reducing max timestep prior to age target 346 1.6667558444475555D+08 (age_target - star_age)/age_sigma 347 25.1463543948 reducing max timestep prior to age target 347 1.6345130356613541D+08 (age_target - star_age)/age_sigma 348 24.6602320469 reducing max timestep prior to age target 348 1.6029150830508709D+08 (age_target - star_age)/age_sigma 349 24.1838321460 reducing max timestep prior to age target 349 1.5719490894925976D+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 -15.477469 -99.000000 -6.907280 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.9893316438030800D-13 log_rel_run_E_err -10.1923725355659478 (age_target - star_age)/age_sigma 350 23.7169602432 reducing max timestep prior to age target 350 1.5416024158054924D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2594257783 reducing max timestep prior to age target 351 1.5118626755921268D+08 (age_target - star_age)/age_sigma 352 22.8110420028 reducing max timestep prior to age target 352 1.4827177301830387D+08 (age_target - star_age)/age_sigma 353 22.3716259028 reducing max timestep prior to age target 353 1.4541556836821175D+08 (age_target - star_age)/age_sigma 354 21.9409981248 reducing max timestep prior to age target 354 1.4261648781112194D+08 (age_target - star_age)/age_sigma 355 21.5189829023 reducing max timestep prior to age target 355 1.3987338886517429D+08 (age_target - star_age)/age_sigma 357 20.6918330663 reducing max timestep prior to age target 357 1.3449691493111610D+08 (age_target - star_age)/age_sigma 358 20.2865296467 reducing max timestep prior to age target 358 1.3186244270342827D+08 (age_target - star_age)/age_sigma 359 19.8893322954 reducing max timestep prior to age target 359 1.2928065992029285D+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 -99.000000 -99.000000 -6.907962 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.9656407276323855D-13 log_rel_run_E_err -10.1798863928819472 (age_target - star_age)/age_sigma 360 19.5000788912 reducing max timestep prior to age target 360 1.2675051279282093D+08 (age_target - star_age)/age_sigma 361 19.1186105551 reducing max timestep prior to age target 361 1.2427096860789871D+08 (age_target - star_age)/age_sigma 362 18.7447715856 reducing max timestep prior to age target 362 1.2184101530667496D+08 (age_target - star_age)/age_sigma 363 18.3784093956 reducing max timestep prior to age target 363 1.1945966107147503D+08 (age_target - star_age)/age_sigma 364 18.0193744494 reducing max timestep prior to age target 364 1.1712593392097950D+08 (age_target - star_age)/age_sigma 365 17.6675202021 reducing max timestep prior to age target 365 1.1483888131349373D+08 (age_target - star_age)/age_sigma 366 17.3227030397 reducing max timestep prior to age target 366 1.1259756975815773D+08 (age_target - star_age)/age_sigma 367 16.9847822206 reducing max timestep prior to age target 367 1.1040108443392944D+08 (age_target - star_age)/age_sigma 368 16.6536198179 reducing max timestep prior to age target 368 1.0824852881618404D+08 (age_target - star_age)/age_sigma 369 16.3290806632 reducing max timestep prior to age target 369 1.0613902431079483D+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 -15.954590 -99.000000 -6.908527 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.9164492096538291D-13 log_rel_run_E_err -10.1677802850394059 (age_target - star_age)/age_sigma 370 16.0110322916 reducing max timestep prior to age target 370 1.0407170989551258D+08 (age_target - star_age)/age_sigma 371 15.6993448875 reducing max timestep prior to age target 371 1.0204574176853657D+08 (age_target - star_age)/age_sigma 372 15.3938912314 reducing max timestep prior to age target 372 1.0006029300409985D+08 (age_target - star_age)/age_sigma 373 15.0945466485 reducing max timestep prior to age target 373 9.8114553214951515D+07 (age_target - star_age)/age_sigma 374 14.8011889572 reducing max timestep prior to age target 374 9.6207728221586227D+07 (age_target - star_age)/age_sigma 375 14.5136984197 reducing max timestep prior to age target 375 9.4339039728088379D+07 (age_target - star_age)/age_sigma 376 14.2319576930 reducing max timestep prior to age target 376 9.2507725004461288D+07 (age_target - star_age)/age_sigma 377 13.9558517808 reducing max timestep prior to age target 377 9.0713036575305939D+07 (age_target - star_age)/age_sigma 378 13.6852679869 reducing max timestep prior to age target 378 8.8954241914733887D+07 (age_target - star_age)/age_sigma 379 13.4200958688 reducing max timestep prior to age target 379 8.7230623147373199D+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 -15.653560 -99.000000 -6.908990 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.9482161831039523D-13 log_rel_run_E_err -10.1558981873547438 (age_target - star_age)/age_sigma 380 13.1602271931 reducing max timestep prior to age target 380 8.5541476755359650D+07 (age_target - star_age)/age_sigma 381 12.9055558910 reducing max timestep prior to age target 381 8.3886113291186333D+07 (age_target - star_age)/age_sigma 382 12.6559780148 reducing max timestep prior to age target 382 8.2263857096297264D+07 (age_target - star_age)/age_sigma 383 12.4113916962 reducing max timestep prior to age target 383 8.0674046025304794D+07 (age_target - star_age)/age_sigma 384 12.1716971040 reducing max timestep prior to age target 384 7.9116031175732613D+07 (age_target - star_age)/age_sigma 385 11.9367964036 reducing max timestep prior to age target 385 7.7589176623151779D+07 (age_target - star_age)/age_sigma 386 11.7065937172 reducing max timestep prior to age target 386 7.6092859161622047D+07 (age_target - star_age)/age_sigma 387 11.4809950845 reducing max timestep prior to age target 387 7.4626468049324036D+07 (age_target - star_age)/age_sigma 388 11.2599084245 reducing max timestep prior to age target 388 7.3189404759271622D+07 (age_target - star_age)/age_sigma 389 11.0432434977 reducing max timestep prior to age target 389 7.1781082735019684D+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 -15.176439 -99.000000 -6.909369 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.9246532723711498D-13 log_rel_run_E_err -10.1443355429895874 (age_target - star_age)/age_sigma 391 10.6185802412 reducing max timestep prior to age target 391 6.9020771567486763D+07 (age_target - star_age)/age_sigma 392 10.4104952454 reducing max timestep prior to age target 392 6.7668219095396042D+07 (age_target - star_age)/age_sigma 393 10.2065719497 reducing max timestep prior to age target 393 6.6342717672746658D+07 (age_target - star_age)/age_sigma 394 10.0067271198 reducing max timestep prior to age target 394 6.5043726278550148D+07 (age_target - star_age)/age_sigma 395 9.8108791865 reducing max timestep prior to age target 395 6.3770714712238312D+07 (age_target - star_age)/age_sigma 396 9.6189482119 reducing max timestep prior to age target 396 6.2523163377251625D+07 (age_target - star_age)/age_sigma 397 9.4308558568 reducing max timestep prior to age target 397 6.1300563068965912D+07 (age_target - star_age)/age_sigma 398 9.2465253487 reducing max timestep prior to age target 398 6.0102414766844749D+07 (age_target - star_age)/age_sigma 399 9.0658814509 reducing max timestep prior to age target 399 5.8928229430766106D+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 4 4.5117E+09 2.171587 -0.010111 -99.000000 -99.000000 -6.909684 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.9394394116860363D-13 log_rel_run_E_err -10.1328777873989946 (age_target - star_age)/age_sigma 400 8.8888504310 reducing max timestep prior to age target 400 5.7777527801409721D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7153600315 reducing max timestep prior to age target 401 5.6649840204640388D+07 (age_target - star_age)/age_sigma 402 8.5453394400 reducing max timestep prior to age target 402 5.5544706359806061D+07 (age_target - star_age)/age_sigma 403 8.3787192603 reducing max timestep prior to age target 403 5.4461675191867828D+07 (age_target - star_age)/age_sigma 404 8.2154314842 reducing max timestep prior to age target 404 5.3400304647289276D+07 (age_target - star_age)/age_sigma 405 8.0554094636 reducing max timestep prior to age target 405 5.2360161513602257D+07 (age_target - star_age)/age_sigma 406 7.8985878835 reducing max timestep prior to age target 406 5.1340821242588997D+07 (age_target - star_age)/age_sigma 407 7.7449027349 reducing max timestep prior to age target 407 5.0341867776995659D+07 (age_target - star_age)/age_sigma 408 7.5942912893 reducing max timestep prior to age target 408 4.9362893380714417D+07 (age_target - star_age)/age_sigma 409 7.4466920727 reducing max timestep prior to age target 409 4.8403498472358704D+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 -99.000000 -99.000000 -6.909940 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.8307767007274322D-13 log_rel_run_E_err -10.1220594365912522 (age_target - star_age)/age_sigma 410 7.3020448403 reducing max timestep prior to age target 410 4.7463291462170601D+07 (age_target - star_age)/age_sigma 411 7.1602905526 reducing max timestep prior to age target 411 4.6541888592185974D+07 (age_target - star_age)/age_sigma 412 7.0213713507 reducing max timestep prior to age target 412 4.5638913779601097D+07 (age_target - star_age)/age_sigma 413 6.8852305328 reducing max timestep prior to age target 413 4.4753998463267326D+07 (age_target - star_age)/age_sigma 414 6.7518125313 reducing max timestep prior to age target 414 4.3886781453260422D+07 (age_target - star_age)/age_sigma 415 6.6210628898 reducing max timestep prior to age target 415 4.3036908783453941D+07 (age_target - star_age)/age_sigma 416 6.4929282411 reducing max timestep prior to age target 416 4.2204033567044258D+07 (age_target - star_age)/age_sigma 417 6.3673562854 reducing max timestep prior to age target 417 4.1387815854961395D+07 (age_target - star_age)/age_sigma 418 6.2442957688 reducing max timestep prior to age target 418 4.0587922497120857D+07 (age_target - star_age)/age_sigma 419 6.1236964625 reducing max timestep prior to age target 419 3.9804027006437302D+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 -99.000000 -99.000000 -6.910151 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.7966437685126559D-13 log_rel_run_E_err -10.1116282230971510 (age_target - star_age)/age_sigma 420 6.0055091424 reducing max timestep prior to age target 420 3.9035809425567627D+07 (age_target - star_age)/age_sigma 421 5.8896855687 reducing max timestep prior to age target 421 3.8282956196314812D+07 (age_target - star_age)/age_sigma 422 5.7761784664 reducing max timestep prior to age target 422 3.7545160031646729D+07 (age_target - star_age)/age_sigma 423 5.6649415062 reducing max timestep prior to age target 423 3.6822119790272713D+07 (age_target - star_age)/age_sigma 424 5.5559292852 reducing max timestep prior to age target 424 3.6113540353725433D+07 (age_target - star_age)/age_sigma 426 5.3422653320 reducing max timestep prior to age target 426 3.4724724658093452D+07 (age_target - star_age)/age_sigma 427 5.2375699950 reducing max timestep prior to age target 427 3.4044204967233658D+07 (age_target - star_age)/age_sigma 428 5.1349685646 reducing max timestep prior to age target 428 3.3377295670191765D+07 (age_target - star_age)/age_sigma 429 5.0344191629 reducing max timestep prior to age target 429 3.2723724559089661D+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 1.8498007540891366D-13 log_rel_run_E_err -10.1014020880200910 (age_target - star_age)/age_sigma 430 4.9357050617 remaining steps and years until age target 430 50 3.2082082901068687D+07 (age_target - star_age)/age_sigma 431 4.8369909605 remaining steps and years until age target 431 49 3.1440441243047714D+07 (age_target - star_age)/age_sigma 432 4.7382768592 remaining steps and years until age target 432 48 3.0798799585026741D+07 (age_target - star_age)/age_sigma 433 4.6395627580 remaining steps and years until age target 433 47 3.0157157927005768D+07 (age_target - star_age)/age_sigma 434 4.5408486568 reducing max timestep prior to age target 434 2.9515516268983841D+07 (age_target - star_age)/age_sigma 435 4.4421345555 remaining steps and years until age target 435 45 2.8873874610962868D+07 (age_target - star_age)/age_sigma 436 4.3434204543 reducing max timestep prior to age target 436 2.8232232952940941D+07 (age_target - star_age)/age_sigma 437 4.2447063531 remaining steps and years until age target 437 43 2.7590591294919968D+07 (age_target - star_age)/age_sigma 438 4.1459922518 remaining steps and years until age target 438 42 2.6948949636898994D+07 (age_target - star_age)/age_sigma 439 4.0472781506 reducing max timestep prior to age target 439 2.6307307978877068D+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 -99.000000 -99.000000 -6.910485 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8646445345747076D-13 log_rel_run_E_err -10.0913719512430600 (age_target - star_age)/age_sigma 440 3.9485640494 remaining steps and years until age target 440 40 2.5665666320856094D+07 (age_target - star_age)/age_sigma 441 3.8498499481 reducing max timestep prior to age target 441 2.5024024662834167D+07 (age_target - star_age)/age_sigma 442 3.7511358469 remaining steps and years until age target 442 38 2.4382383004813194D+07 (age_target - star_age)/age_sigma 443 3.6524217457 reducing max timestep prior to age target 443 2.3740741346791267D+07 (age_target - star_age)/age_sigma 444 3.5537076444 remaining steps and years until age target 444 36 2.3099099688770294D+07 (age_target - star_age)/age_sigma 445 3.4549935432 reducing max timestep prior to age target 445 2.2457458030748367D+07 (age_target - star_age)/age_sigma 446 3.3562794420 remaining steps and years until age target 446 34 2.1815816372727394D+07 (age_target - star_age)/age_sigma 447 3.2575653407 remaining steps and years until age target 447 33 2.1174174714706421D+07 (age_target - star_age)/age_sigma 448 3.1588512395 reducing max timestep prior to age target 448 2.0532533056684494D+07 (age_target - star_age)/age_sigma 449 3.0601371383 remaining steps and years until age target 449 31 1.9890891398663521D+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 -15.653560 -99.000000 -6.910645 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8433025596711120D-13 log_rel_run_E_err -10.0814327593451889 (age_target - star_age)/age_sigma 450 2.9614230370 reducing max timestep prior to age target 450 1.9249249740641594D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8627089358 remaining steps and years until age target 451 29 1.8607608082620621D+07 (age_target - star_age)/age_sigma 452 2.7639948346 reducing max timestep prior to age target 452 1.7965966424598694D+07 (age_target - star_age)/age_sigma 453 2.6652807333 remaining steps and years until age target 453 27 1.7324324766577721D+07 (age_target - star_age)/age_sigma 454 2.5665666321 remaining steps and years until age target 454 26 1.6682683108556747D+07 (age_target - star_age)/age_sigma 455 2.4678525309 reducing max timestep prior to age target 455 1.6041041450534821D+07 (age_target - star_age)/age_sigma 456 2.3691384296 remaining steps and years until age target 456 24 1.5399399792513847D+07 (age_target - star_age)/age_sigma 457 2.2704243284 reducing max timestep prior to age target 457 1.4757758134491920D+07 (age_target - star_age)/age_sigma 458 2.1717102271 remaining steps and years until age target 458 22 1.4116116476470947D+07 (age_target - star_age)/age_sigma 459 2.0729961259 reducing max timestep prior to age target 459 1.3474474818449020D+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 -99.000000 -99.000000 -6.910805 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.9496695704739127D-13 log_rel_run_E_err -10.0717143405613605 (age_target - star_age)/age_sigma 460 1.9742820247 remaining steps and years until age target 460 20 1.2832833160428047D+07 (age_target - star_age)/age_sigma 461 1.8755679234 reducing max timestep prior to age target 461 1.2191191502406120D+07 (age_target - star_age)/age_sigma 462 1.7768538222 remaining steps and years until age target 462 18 1.1549549844385147D+07 (age_target - star_age)/age_sigma 463 1.6781397210 reducing max timestep prior to age target 463 1.0907908186363220D+07 (age_target - star_age)/age_sigma 464 1.5794256197 remaining steps and years until age target 464 16 1.0266266528342247D+07 (age_target - star_age)/age_sigma 465 1.4807115185 remaining steps and years until age target 465 15 9.6246248703212738D+06 (age_target - star_age)/age_sigma 466 1.3819974173 reducing max timestep prior to age target 466 8.9829832122993469D+06 (age_target - star_age)/age_sigma 467 1.2832833160 remaining steps and years until age target 467 13 8.3413415542783737D+06 (age_target - star_age)/age_sigma 468 1.1845692148 reducing max timestep prior to age target 468 7.6996998962564468D+06 (age_target - star_age)/age_sigma 469 1.0858551136 remaining steps and years until age target 469 11 7.0580582382354736D+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 -99.000000 -99.000000 -6.910965 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8368054507557848D-13 log_rel_run_E_err -10.0623233502675369 (age_target - star_age)/age_sigma 470 0.9871410123 reducing max timestep prior to age target 470 6.4164165802135468D+06 (age_target - star_age)/age_sigma 471 0.8884269111 remaining steps and years until age target 471 9 5.7747749221925735D+06 (age_target - star_age)/age_sigma 472 0.7897128099 remaining steps and years until age target 472 8 5.1331332641716003D+06 (age_target - star_age)/age_sigma 473 0.6909987086 reducing max timestep prior to age target 473 4.4914916061496735D+06 (age_target - star_age)/age_sigma 474 0.5922846074 remaining steps and years until age target 474 6 3.8498499481287003D+06 (age_target - star_age)/age_sigma 475 0.4935705062 reducing max timestep prior to age target 475 3.2082082901067734D+06 (age_target - star_age)/age_sigma 476 0.3948564049 remaining steps and years until age target 476 4 2.5665666320858002D+06 (age_target - star_age)/age_sigma 477 0.2961423037 remaining steps and years until age target 477 3 1.9249249740648270D+06 (age_target - star_age)/age_sigma 478 0.1974282025 reducing max timestep prior to age target 478 1.2832833160429001D+06 (age_target - star_age)/age_sigma 479 0.0987141012 remaining steps and years until age target 479 1 6.4164165802192688D+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 -15.255620 -99.000000 -6.911126 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9282680439398944D-13 log_rel_run_E_err -10.0529823157159282 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 2.90 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 -15.255620 -99.000000 -6.911126 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9282680439398944D-13 log_rel_run_E_err -10.0529823157159282 Teff 5679.9294383763 radius 1.0231407131 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 535.4926038557 M_H -0.0017395982 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 3.0262018833 log_R 0.0099353666 delta_nu 136.8076227271 nu_max 2964.0776267836 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 333512.8396019130 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 "13a2611" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251021" "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 3.3351283960191300E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763063E+03 1.0231407131233186E+00 -1.7395981959431566E-03 9.9353665865348391E-03 1.3680762272707946E+02 2.9640776267836432E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191300E+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 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -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 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -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 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -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 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -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 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 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 3.9562811873924580D-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 1.8246326219905981D-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 -21.674160 -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 2.4692961186459535D-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 2.6251213969560885D-13 log_rel_run_E_err -11.5700672381266525 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 -20.293948 -99.000000 -6.906464 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.9809138327726644D-13 log_rel_run_E_err -11.2718278395093314 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 -20.771070 -99.000000 -6.907161 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5956256483602396D-13 log_rel_run_E_err -11.0961309968323274 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 2.8592438672646720D-13 log_rel_run_E_err -10.9734859614895921 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 -20.771070 -99.000000 -6.907303 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.8868960601813935D-13 log_rel_run_E_err -10.8759497490441159 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 -20.072100 -99.000000 -6.907293 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5384771952486716D-13 log_rel_run_E_err -10.7954458606111388 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 2.7670666564141415D-13 log_rel_run_E_err -10.7295626655361005 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 2.7301815583895417D-13 log_rel_run_E_err -10.6706062180791523 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 -20.169010 -99.000000 -6.907082 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.9476079257361907D-13 log_rel_run_E_err -10.6187183204206779 __________________________________________________________________________________________________________________________________________________ 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 -20.169010 -99.000000 -6.906915 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.4906559944678175D-13 log_rel_run_E_err -10.5556887193090443 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 -20.470040 -99.000000 -6.906027 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7460875912994216D-13 log_rel_run_E_err -10.4867353453909136 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 5.7141136995315429D-14 log_rel_run_E_err -10.4578941933042149 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 3.8911374503551001D-12 log_rel_run_E_err -10.3804568991638249 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 -19.265920 -99.000000 -6.746359 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5917111872684968D-13 log_rel_run_E_err -10.2469985183782004 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 8.7930652628808903D-12 log_rel_run_E_err -10.1946525574189639 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 1.9245971155775768D-13 log_rel_run_E_err -10.3305292746942321 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 -15.954590 -99.000000 -6.836106 0.000000 0.002327 0.001916 0.018522 0.000E+00 max increase rel_E_err 1.8476928037620351D-13 log_rel_run_E_err -10.4467275520683547 (age_target - star_age)/age_sigma 173 694.9716042398 reducing max timestep prior to age target 173 4.5173154275585451D+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 -15.653560 -99.000000 -6.836266 0.000000 0.000033 0.001918 0.018918 0.000E+00 max increase rel_E_err 1.8401161035719230D-13 log_rel_run_E_err -10.4278378898585480 (age_target - star_age)/age_sigma 181 677.3258369225 reducing max timestep prior to age target 181 4.4026179399962645D+09 (age_target - star_age)/age_sigma 183 667.2087998198 reducing max timestep prior to age target 183 4.3368571988285303D+09 (age_target - star_age)/age_sigma 185 652.6402663918 reducing max timestep prior to age target 185 4.2421617315469933D+09 (age_target - star_age)/age_sigma 187 631.6615782556 reducing max timestep prior to age target 187 4.1058002586615791D+09 (age_target - star_age)/age_sigma 188 619.3426343979 reducing max timestep prior to age target 188 4.0257271235865993D+09 (age_target - star_age)/age_sigma 189 607.2700694174 reducing max timestep prior to age target 189 3.9472554512131195D+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 -15.352530 -99.000000 -6.850818 0.000000 0.000015 0.001925 0.018999 0.000E+00 max_dt rel_E_err 1.9609983695406693D-13 log_rel_run_E_err -10.4077778138406458 (age_target - star_age)/age_sigma 190 595.4389557365 reducing max timestep prior to age target 190 3.8703532122871094D+09 (age_target - star_age)/age_sigma 191 583.8444643292 reducing max timestep prior to age target 191 3.7949890181396189D+09 (age_target - star_age)/age_sigma 192 572.4818627500 reducing max timestep prior to age target 192 3.7211321078750787D+09 (age_target - star_age)/age_sigma 193 561.3465132024 reducing max timestep prior to age target 193 3.6487523358158293D+09 (age_target - star_age)/age_sigma 194 550.4338706458 reducing max timestep prior to age target 194 3.5778201591977644D+09 (age_target - star_age)/age_sigma 195 539.7394809403 reducing max timestep prior to age target 195 3.5083066261120615D+09 (age_target - star_age)/age_sigma 196 529.2589790289 reducing max timestep prior to age target 196 3.4401833636880722D+09 (age_target - star_age)/age_sigma 197 518.9880871558 reducing max timestep prior to age target 197 3.3734225665125628D+09 (age_target - star_age)/age_sigma 198 508.9226131201 reducing max timestep prior to age target 198 3.3079969852805634D+09 (age_target - star_age)/age_sigma 199 499.0584485651 reducing max timestep prior to age target 199 3.2438799156732044D+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 -99.000000 -99.000000 -6.867581 0.000000 0.000015 0.001935 0.019093 0.000E+00 max_dt rel_E_err 1.8653647829198832D-13 log_rel_run_E_err -10.3887796041235170 (age_target - star_age)/age_sigma 200 489.3915673012 reducing max timestep prior to age target 200 3.1810451874579926D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.9180236626 reducing max timestep prior to age target 201 3.1194671538070846D+09 (age_target - star_age)/age_sigma 202 470.6339508968 reducing max timestep prior to age target 202 3.0591206808291950D+09 (age_target - star_age)/age_sigma 203 461.5355595863 reducing max timestep prior to age target 203 2.9999811373108630D+09 (age_target - star_age)/age_sigma 204 452.6191361020 reducing max timestep prior to age target 204 2.9420243846628981D+09 (age_target - star_age)/age_sigma 205 443.8810410874 reducing max timestep prior to age target 205 2.8852267670678921D+09 (age_target - star_age)/age_sigma 206 435.3177079730 reducing max timestep prior to age target 206 2.8295651018247862D+09 (age_target - star_age)/age_sigma 207 426.9256415210 reducing max timestep prior to age target 207 2.7750166698865423D+09 (age_target - star_age)/age_sigma 208 418.7014163980 reducing max timestep prior to age target 208 2.7215592065870638D+09 (age_target - star_age)/age_sigma 209 410.6416757775 reducing max timestep prior to age target 209 2.6691708925535746D+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 1.8760557635854403D-13 log_rel_run_E_err -10.3699475198897648 (age_target - star_age)/age_sigma 210 402.7431299693 reducing max timestep prior to age target 210 2.6178303448007550D+09 (age_target - star_age)/age_sigma 212 387.2619801854 reducing max timestep prior to age target 212 2.5172028712052288D+09 (age_target - star_age)/age_sigma 213 379.6762167913 reducing max timestep prior to age target 213 2.4678954091434212D+09 (age_target - star_age)/age_sigma 214 372.2421686651 reducing max timestep prior to age target 214 2.4195740963228493D+09 (age_target - star_age)/age_sigma 215 364.9568015013 reducing max timestep prior to age target 215 2.3722192097586889D+09 (age_target - star_age)/age_sigma 216 357.8171416809 reducing max timestep prior to age target 216 2.3258114209258122D+09 (age_target - star_age)/age_sigma 217 350.8202750569 reducing max timestep prior to age target 217 2.2803317878695927D+09 (age_target - star_age)/age_sigma 218 343.9633457653 reducing max timestep prior to age target 218 2.2357617474744973D+09 (age_target - star_age)/age_sigma 219 337.2435550596 reducing max timestep prior to age target 219 2.1920831078873043D+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 1.8813430862561363D-13 log_rel_run_E_err -10.3520475099337261 (age_target - star_age)/age_sigma 220 330.6581601680 reducing max timestep prior to age target 220 2.1492780410918555D+09 (age_target - star_age)/age_sigma 221 324.2044731742 reducing max timestep prior to age target 221 2.1073290756323152D+09 (age_target - star_age)/age_sigma 222 317.8798599203 reducing max timestep prior to age target 222 2.0662190894819655D+09 (age_target - star_age)/age_sigma 223 311.6817389315 reducing max timestep prior to age target 223 2.0259313030546231D+09 (age_target - star_age)/age_sigma 224 305.6075803624 reducing max timestep prior to age target 224 1.9864492723558273D+09 (age_target - star_age)/age_sigma 225 299.6549049648 reducing max timestep prior to age target 225 1.9477568822710075D+09 (age_target - star_age)/age_sigma 226 293.8212830751 reducing max timestep prior to age target 226 1.9098383399878845D+09 (age_target - star_age)/age_sigma 227 288.1043336231 reducing max timestep prior to age target 227 1.8726781685504236D+09 (age_target - star_age)/age_sigma 228 282.5017231603 reducing max timestep prior to age target 228 1.8362612005417123D+09 (age_target - star_age)/age_sigma 229 277.0111649066 reducing max timestep prior to age target 229 1.8005725718931746D+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 -15.954590 -99.000000 -6.904170 0.000000 0.000018 0.001954 0.019261 0.000E+00 max_dt rel_E_err 1.8176406729791016D-13 log_rel_run_E_err -10.3351029643847916 (age_target - star_age)/age_sigma 230 271.6304178181 reducing max timestep prior to age target 230 1.7655977158176079D+09 (age_target - star_age)/age_sigma 231 266.3572856713 reducing max timestep prior to age target 231 1.7313223568635526D+09 (age_target - star_age)/age_sigma 232 261.1896161675 reducing max timestep prior to age target 232 1.6977325050885787D+09 (age_target - star_age)/age_sigma 233 256.1253000537 reducing max timestep prior to age target 233 1.6648144503491039D+09 (age_target - star_age)/age_sigma 234 251.1622702622 reducing max timestep prior to age target 234 1.6325547567044187D+09 (age_target - star_age)/age_sigma 235 246.2985010666 reducing max timestep prior to age target 235 1.6009402569326272D+09 (age_target - star_age)/age_sigma 236 241.5320072548 reducing max timestep prior to age target 236 1.5699580471562715D+09 (age_target - star_age)/age_sigma 237 236.8608433193 reducing max timestep prior to age target 237 1.5395954815754428D+09 (age_target - star_age)/age_sigma 238 232.2831026625 reducing max timestep prior to age target 238 1.5098401673062310D+09 (age_target - star_age)/age_sigma 239 227.7969168188 reducing max timestep prior to age target 239 1.4806799593224034D+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 -15.255620 -99.000000 -6.912670 0.000000 0.000018 0.001958 0.019292 0.000E+00 max_dt rel_E_err 1.8164346085771367D-13 log_rel_run_E_err -10.3190775747837300 (age_target - star_age)/age_sigma 240 223.4004546920 reducing max timestep prior to age target 240 1.4521029554982519D+09 (age_target - star_age)/age_sigma 241 219.0919218078 reducing max timestep prior to age target 241 1.4240974917505836D+09 (age_target - star_age)/age_sigma 242 214.8695595812 reducing max timestep prior to age target 242 1.3966521372778692D+09 (age_target - star_age)/age_sigma 243 210.7316445992 reducing max timestep prior to age target 243 1.3697556898946085D+09 (age_target - star_age)/age_sigma 244 206.6764879168 reducing max timestep prior to age target 244 1.3433971714590135D+09 (age_target - star_age)/age_sigma 246 198.7283808193 reducing max timestep prior to age target 246 1.2917344753252459D+09 (age_target - star_age)/age_sigma 247 194.8338083415 reducing max timestep prior to age target 247 1.2664197542197003D+09 (age_target - star_age)/age_sigma 248 191.0171273133 reducing max timestep prior to age target 248 1.2416113275362654D+09 (age_target - star_age)/age_sigma 249 187.2767799056 reducing max timestep prior to age target 249 1.2172990693864994D+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 -15.352530 -99.000000 -6.919803 0.000000 0.000019 0.001961 0.019314 0.000E+00 max_dt rel_E_err 1.8793105970997000D-13 log_rel_run_E_err -10.3027933562190430 (age_target - star_age)/age_sigma 250 183.6112394461 reducing max timestep prior to age target 250 1.1934730563997288D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 180.0190097958 reducing max timestep prior to age target 251 1.1701235636726933D+09 (age_target - star_age)/age_sigma 252 176.4986247385 reducing max timestep prior to age target 252 1.1472410608001986D+09 (age_target - star_age)/age_sigma 253 173.0486473823 reducing max timestep prior to age target 253 1.1248162079851537D+09 (age_target - star_age)/age_sigma 254 169.6676695733 reducing max timestep prior to age target 254 1.1028398522264094D+09 (age_target - star_age)/age_sigma 255 166.3543113204 reducing max timestep prior to age target 255 1.0813030235828409D+09 (age_target - star_age)/age_sigma 256 163.1072202326 reducing max timestep prior to age target 256 1.0601969315121436D+09 (age_target - star_age)/age_sigma 257 159.9250709666 reducing max timestep prior to age target 257 1.0395129612828593D+09 (age_target - star_age)/age_sigma 258 156.8065646859 reducing max timestep prior to age target 258 1.0192426704581614D+09 (age_target - star_age)/age_sigma 259 153.7504285308 reducing max timestep prior to age target 259 9.9937778544995785D+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 -15.352530 -99.000000 -6.925731 0.000000 0.000020 0.001964 0.019329 0.000E+00 max_dt rel_E_err 1.8158970142963317D-13 log_rel_run_E_err -10.2874722147463125 (age_target - star_age)/age_sigma 260 150.7554150988 reducing max timestep prior to age target 260 9.7991019814191771D+08 (age_target - star_age)/age_sigma 261 147.8203019354 reducing max timestep prior to age target 261 9.6083196258003855D+08 (age_target - star_age)/age_sigma 262 144.9438910353 reducing max timestep prior to age target 262 9.4213529172939682D+08 (age_target - star_age)/age_sigma 263 142.1250083532 reducing max timestep prior to age target 263 9.2381255429576778D+08 (age_target - star_age)/age_sigma 264 139.3625033247 reducing max timestep prior to age target 264 9.0585627161081219D+08 (age_target - star_age)/age_sigma 265 136.6552483969 reducing max timestep prior to age target 265 8.8825911457955503D+08 (age_target - star_age)/age_sigma 266 134.0021385675 reducing max timestep prior to age target 266 8.7101390068892288D+08 (age_target - star_age)/age_sigma 267 131.4020909348 reducing max timestep prior to age target 267 8.5411359107610369D+08 (age_target - star_age)/age_sigma 268 128.8540442547 reducing max timestep prior to age target 268 8.3755128765554094D+08 (age_target - star_age)/age_sigma 269 126.3569585082 reducing max timestep prior to age target 269 8.2132023030338955D+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 -99.000000 -99.000000 -6.930604 0.000000 0.000020 0.001966 0.019340 0.000E+00 max_dt rel_E_err 1.7045474643774655D-13 log_rel_run_E_err -10.2727426834458235 (age_target - star_age)/age_sigma 270 123.9098144767 reducing max timestep prior to age target 270 8.0541379409828091D+08 (age_target - star_age)/age_sigma 271 121.5116133257 reducing max timestep prior to age target 271 7.8982548661727428D+08 (age_target - star_age)/age_sigma 272 119.1613761978 reducing max timestep prior to age target 272 7.7454894528588772D+08 (age_target - star_age)/age_sigma 273 116.8581438125 reducing max timestep prior to age target 273 7.5957793478112888D+08 (age_target - star_age)/age_sigma 274 114.6009760748 reducing max timestep prior to age target 274 7.4490634448646593D+08 (age_target - star_age)/age_sigma 275 112.3889516920 reducing max timestep prior to age target 275 7.3052818599769545D+08 (age_target - star_age)/age_sigma 276 110.2211677967 reducing max timestep prior to age target 276 7.1643759067870092D+08 (age_target - star_age)/age_sigma 277 108.0967395794 reducing max timestep prior to age target 277 7.0262880726608610D+08 (age_target - star_age)/age_sigma 278 106.0147999264 reducing max timestep prior to age target 278 6.8909619952172375D+08 (age_target - star_age)/age_sigma 279 103.9744990665 reducing max timestep prior to age target 279 6.7583424393224812D+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 -99.000000 -99.000000 -6.934617 0.000000 0.000021 0.001968 0.019347 0.000E+00 max_dt rel_E_err 1.8129472928906974D-13 log_rel_run_E_err -10.2584149422440181 (age_target - star_age)/age_sigma 281 99.9755093811 reducing max timestep prior to age target 281 6.4984081097687626D+08 (age_target - star_age)/age_sigma 282 98.0160044352 reducing max timestep prior to age target 282 6.3710402882874441D+08 (age_target - star_age)/age_sigma 283 96.0956895882 reducing max timestep prior to age target 283 6.2462198232357502D+08 (age_target - star_age)/age_sigma 284 94.2137810382 reducing max timestep prior to age target 284 6.1238957674850893D+08 (age_target - star_age)/age_sigma 285 92.3695106592 reducing max timestep prior to age target 285 6.0040181928494453D+08 (age_target - star_age)/age_sigma 286 90.5621256878 reducing max timestep prior to age target 286 5.8865381697065067D+08 (age_target - star_age)/age_sigma 287 88.7908884158 reducing max timestep prior to age target 287 5.7714077470264292D+08 (age_target - star_age)/age_sigma 288 87.0550758892 reducing max timestep prior to age target 288 5.6585799327999544D+08 (age_target - star_age)/age_sigma 289 85.3539796132 reducing max timestep prior to age target 289 5.5480086748580122D+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 1.6581121182446745D-13 log_rel_run_E_err -10.2447020157197901 (age_target - star_age)/age_sigma 290 83.6869052627 reducing max timestep prior to age target 290 5.4396488420749044D+08 (age_target - star_age)/age_sigma 291 82.0531723992 reducing max timestep prior to age target 291 5.3334562059474659D+08 (age_target - star_age)/age_sigma 292 80.4521141930 reducing max timestep prior to age target 292 5.2293874225425720D+08 (age_target - star_age)/age_sigma 293 78.8830771509 reducing max timestep prior to age target 293 5.1274000148057747D+08 (age_target - star_age)/age_sigma 294 77.3454208496 reducing max timestep prior to age target 294 5.0274523552237129D+08 (age_target - star_age)/age_sigma 295 75.8385176744 reducing max timestep prior to age target 295 4.9295036488332939D+08 (age_target - star_age)/age_sigma 296 74.3617525626 reducing max timestep prior to age target 296 4.8335139165706825D+08 (age_target - star_age)/age_sigma 297 72.9145227531 reducing max timestep prior to age target 297 4.7394439789533234D+08 (age_target - star_age)/age_sigma 298 71.4962375398 reducing max timestep prior to age target 298 4.6472554400883102D+08 (age_target - star_age)/age_sigma 299 70.1063180308 reducing max timestep prior to age target 299 4.5569106720005989D+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 -99.000000 -99.000000 -6.940621 0.000000 0.000022 0.001971 0.019355 0.000E+00 max_dt rel_E_err 1.8174121870714603D-13 log_rel_run_E_err -10.2309119082209232 (age_target - star_age)/age_sigma 300 68.7441969119 reducing max timestep prior to age target 300 4.4683727992746401D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.4093182154 reducing max timestep prior to age target 301 4.3816056840032053D+08 (age_target - star_age)/age_sigma 302 66.1011370929 reducing max timestep prior to age target 302 4.2965739110371923D+08 (age_target - star_age)/age_sigma 303 64.8191195928 reducing max timestep prior to age target 303 4.2132427735305023D+08 (age_target - star_age)/age_sigma 304 63.5627424427 reducing max timestep prior to age target 304 4.1315782587739515D+08 (age_target - star_age)/age_sigma 305 62.3314928356 reducing max timestep prior to age target 305 4.0515470343125248D+08 (age_target - star_age)/age_sigma 306 61.1248682206 reducing max timestep prior to age target 306 3.9731164343403292D+08 (age_target - star_age)/age_sigma 307 59.9423760980 reducing max timestep prior to age target 307 3.8962544463675785D+08 (age_target - star_age)/age_sigma 308 58.7835338178 reducing max timestep prior to age target 308 3.8209296981542778D+08 (age_target - star_age)/age_sigma 309 57.6478683832 reducing max timestep prior to age target 309 3.7471114449052429D+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 -15.352530 -99.000000 -6.942874 0.000000 0.000022 0.001972 0.019357 0.000E+00 max_dt rel_E_err 1.7872894136086627D-13 log_rel_run_E_err -10.2180575868072729 (age_target - star_age)/age_sigma 310 56.5349162572 reducing max timestep prior to age target 310 3.6747695567211962D+08 (age_target - star_age)/age_sigma 311 55.4442231739 reducing max timestep prior to age target 311 3.6038745063008261D+08 (age_target - star_age)/age_sigma 312 54.3753439521 reducing max timestep prior to age target 312 3.5343973568888617D+08 (age_target - star_age)/age_sigma 313 53.3278423148 reducing max timestep prior to age target 313 3.4663097504651403D+08 (age_target - star_age)/age_sigma 314 52.3012907103 reducing max timestep prior to age target 314 3.3995838961698961D+08 (age_target - star_age)/age_sigma 315 51.2952701379 reducing max timestep prior to age target 315 3.3341925589605474D+08 (age_target - star_age)/age_sigma 317 49.3234698158 reducing max timestep prior to age target 317 3.2060255380302382D+08 (age_target - star_age)/age_sigma 318 48.3572876581 reducing max timestep prior to age target 318 3.1432236977743864D+08 (age_target - star_age)/age_sigma 319 47.4104291434 reducing max timestep prior to age target 319 3.0816778943236494D+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 -15.352530 -99.000000 -6.944726 0.000000 0.000022 0.001972 0.019358 0.000E+00 max_dt rel_E_err 1.7909873902819709D-13 log_rel_run_E_err -10.2056473040256748 (age_target - star_age)/age_sigma 320 46.4825077991 reducing max timestep prior to age target 320 3.0213630069419289D+08 (age_target - star_age)/age_sigma 321 45.5731448817 reducing max timestep prior to age target 321 2.9622544173078394D+08 (age_target - star_age)/age_sigma 322 44.6819692226 reducing max timestep prior to age target 322 2.9043279994664335D+08 (age_target - star_age)/age_sigma 323 43.8086170766 reducing max timestep prior to age target 323 2.8475601099818563D+08 (age_target - star_age)/age_sigma 324 42.9527319736 reducing max timestep prior to age target 324 2.7919275782869673D+08 (age_target - star_age)/age_sigma 325 42.1139645727 reducing max timestep prior to age target 325 2.7374076972259808D+08 (age_target - star_age)/age_sigma 326 41.2919725198 reducing max timestep prior to age target 326 2.6839782137862110D+08 (age_target - star_age)/age_sigma 327 40.4864203079 reducing max timestep prior to age target 327 2.6316173200152397D+08 (age_target - star_age)/age_sigma 328 39.6969791403 reducing max timestep prior to age target 328 2.5803036441196823D+08 (age_target - star_age)/age_sigma 329 38.9233267960 reducing max timestep prior to age target 329 2.5300162417420483D+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 -14.954590 -99.000000 -6.946258 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt rel_E_err 1.8158240336794146D-13 log_rel_run_E_err -10.1934189176105097 (age_target - star_age)/age_sigma 330 38.1651474986 reducing max timestep prior to age target 330 2.4807345874119568D+08 (age_target - star_age)/age_sigma 331 37.4221317872 reducing max timestep prior to age target 331 2.4324385661684704D+08 (age_target - star_age)/age_sigma 332 36.6939763900 reducing max timestep prior to age target 332 2.3851084653498554D+08 (age_target - star_age)/age_sigma 333 35.9803841007 reducing max timestep prior to age target 333 2.3387249665476036D+08 (age_target - star_age)/age_sigma 334 35.2810636573 reducing max timestep prior to age target 334 2.2932691377214050D+08 (age_target - star_age)/age_sigma 335 34.5957296226 reducing max timestep prior to age target 335 2.2487224254717255D+08 (age_target - star_age)/age_sigma 336 33.9241022687 reducing max timestep prior to age target 336 2.2050666474670410D+08 (age_target - star_age)/age_sigma 337 33.2659074619 reducing max timestep prior to age target 337 2.1622839850224495D+08 (age_target - star_age)/age_sigma 338 32.6208765512 reducing max timestep prior to age target 338 2.1203569758267593D+08 (age_target - star_age)/age_sigma 339 31.9887462587 reducing max timestep prior to age target 339 2.0792685068149757D+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 1.8386311925993960D-13 log_rel_run_E_err -10.1816230436559714 (age_target - star_age)/age_sigma 340 31.3692585721 reducing max timestep prior to age target 340 2.0390018071834278D+08 (age_target - star_age)/age_sigma 341 30.7621606391 reducing max timestep prior to age target 341 1.9995404415445042D+08 (age_target - star_age)/age_sigma 342 30.1672046649 reducing max timestep prior to age target 342 1.9608683032183647D+08 (age_target - star_age)/age_sigma 343 29.5841478101 reducing max timestep prior to age target 343 1.9229696076587486D+08 (age_target - star_age)/age_sigma 344 29.0127520925 reducing max timestep prior to age target 344 1.8858288860103321D+08 (age_target - star_age)/age_sigma 345 28.4527842892 reducing max timestep prior to age target 345 1.8494309787948704D+08 (age_target - star_age)/age_sigma 346 27.9040158419 reducing max timestep prior to age target 346 1.8137610297237301D+08 (age_target - star_age)/age_sigma 347 27.3662227636 reducing max timestep prior to age target 347 1.7788044796340084D+08 (age_target - star_age)/age_sigma 348 26.8391855469 reducing max timestep prior to age target 348 1.7445470605460739D+08 (age_target - star_age)/age_sigma 349 26.3226890745 reducing max timestep prior to age target 349 1.7109747898399067D+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 1.9140828824058922D-13 log_rel_run_E_err -10.1698854920984871 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.3103559886 reducing max timestep prior to age target 351 1.6451731392558098D+08 (age_target - star_age)/age_sigma 352 24.8143127765 reducing max timestep prior to age target 352 1.6129303304696083D+08 (age_target - star_age)/age_sigma 353 24.3281904286 reducing max timestep prior to age target 353 1.5813323778591251D+08 (age_target - star_age)/age_sigma 354 23.8517905277 reducing max timestep prior to age target 354 1.5503663843008518D+08 (age_target - star_age)/age_sigma 355 23.3849186248 reducing max timestep prior to age target 355 1.5200197106137466D+08 (age_target - star_age)/age_sigma 356 22.9273841600 reducing max timestep prior to age target 356 1.4902799704003811D+08 (age_target - star_age)/age_sigma 357 22.4790003845 reducing max timestep prior to age target 357 1.4611350249912930D+08 (age_target - star_age)/age_sigma 358 22.0395842845 reducing max timestep prior to age target 358 1.4325729784903717D+08 (age_target - star_age)/age_sigma 359 21.6089565065 reducing max timestep prior to age target 359 1.4045821729194736D+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 1.7350859994402797D-13 log_rel_run_E_err -10.1586999474716855 (age_target - star_age)/age_sigma 360 21.1869412840 reducing max timestep prior to age target 360 1.3771511834599972D+08 (age_target - star_age)/age_sigma 361 20.7733663660 reducing max timestep prior to age target 361 1.3502688137897110D+08 (age_target - star_age)/age_sigma 362 20.3680629464 reducing max timestep prior to age target 362 1.3239240915128231D+08 (age_target - star_age)/age_sigma 363 19.9708655951 reducing max timestep prior to age target 363 1.2981062636814785D+08 (age_target - star_age)/age_sigma 364 19.5816121909 reducing max timestep prior to age target 364 1.2728047924067593D+08 (age_target - star_age)/age_sigma 365 19.2001438547 reducing max timestep prior to age target 365 1.2480093505575371D+08 (age_target - star_age)/age_sigma 366 18.8263048853 reducing max timestep prior to age target 366 1.2237098175452900D+08 (age_target - star_age)/age_sigma 367 18.4599426953 reducing max timestep prior to age target 367 1.1998962751933002D+08 (age_target - star_age)/age_sigma 368 18.1009077491 reducing max timestep prior to age target 368 1.1765590036883450D+08 (age_target - star_age)/age_sigma 369 17.7490535017 reducing max timestep prior to age target 369 1.1536884776134872D+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 -99.000000 -99.000000 -6.950080 0.000000 0.000023 0.001974 0.019359 0.000E+00 max_dt rel_E_err 1.7286091782779601D-13 log_rel_run_E_err -10.1476413490669906 (age_target - star_age)/age_sigma 370 17.4042363394 reducing max timestep prior to age target 370 1.1312753620601273D+08 (age_target - star_age)/age_sigma 371 17.0663155203 reducing max timestep prior to age target 371 1.1093105088178349D+08 (age_target - star_age)/age_sigma 372 16.7351531175 reducing max timestep prior to age target 372 1.0877849526403904D+08 (age_target - star_age)/age_sigma 373 16.4106139629 reducing max timestep prior to age target 373 1.0666899075864887D+08 (age_target - star_age)/age_sigma 374 16.0925655913 reducing max timestep prior to age target 374 1.0460167634336758D+08 (age_target - star_age)/age_sigma 375 15.7808781871 reducing max timestep prior to age target 375 1.0257570821639156D+08 (age_target - star_age)/age_sigma 376 15.4754245311 reducing max timestep prior to age target 376 1.0059025945195389D+08 (age_target - star_age)/age_sigma 377 15.1760799481 reducing max timestep prior to age target 377 9.8644519662806511D+07 (age_target - star_age)/age_sigma 378 14.8827222568 reducing max timestep prior to age target 378 9.6737694669441223D+07 (age_target - star_age)/age_sigma 379 14.5952317194 reducing max timestep prior to age target 379 9.4869006175943375D+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 1.8399191094444728D-13 log_rel_run_E_err -10.1368604493198617 (age_target - star_age)/age_sigma 380 14.3134909927 reducing max timestep prior to age target 380 9.3037691452315331D+07 (age_target - star_age)/age_sigma 381 14.0373850805 reducing max timestep prior to age target 381 9.1243003023160934D+07 (age_target - star_age)/age_sigma 382 13.7668012866 reducing max timestep prior to age target 382 8.9484208362588882D+07 (age_target - star_age)/age_sigma 383 13.5016291685 reducing max timestep prior to age target 383 8.7760589595228195D+07 (age_target - star_age)/age_sigma 384 13.2417604928 reducing max timestep prior to age target 384 8.6071443203214645D+07 (age_target - star_age)/age_sigma 385 12.9870891906 reducing max timestep prior to age target 385 8.4416079739041328D+07 (age_target - star_age)/age_sigma 387 12.4879334383 reducing max timestep prior to age target 387 8.1171567349261284D+07 (age_target - star_age)/age_sigma 388 12.2433471197 reducing max timestep prior to age target 388 7.9581756278269768D+07 (age_target - star_age)/age_sigma 389 12.0036525275 reducing max timestep prior to age target 389 7.8023741428697586D+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 -15.176439 -99.000000 -6.951118 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8545205082082558D-13 log_rel_run_E_err -10.1261683418442949 (age_target - star_age)/age_sigma 390 11.7687518271 reducing max timestep prior to age target 390 7.6496886876116753D+07 (age_target - star_age)/age_sigma 391 11.5385491407 reducing max timestep prior to age target 391 7.5000569414587021D+07 (age_target - star_age)/age_sigma 392 11.3129505080 reducing max timestep prior to age target 392 7.3534178302289009D+07 (age_target - star_age)/age_sigma 393 11.0918638480 reducing max timestep prior to age target 393 7.2097115012236595D+07 (age_target - star_age)/age_sigma 394 10.8751989212 reducing max timestep prior to age target 394 7.0688792987984657D+07 (age_target - star_age)/age_sigma 395 10.6628672930 reducing max timestep prior to age target 395 6.9308637404218674D+07 (age_target - star_age)/age_sigma 396 10.4547822973 reducing max timestep prior to age target 396 6.7956084932126999D+07 (age_target - star_age)/age_sigma 397 10.2508590015 reducing max timestep prior to age target 397 6.6630583509477615D+07 (age_target - star_age)/age_sigma 398 10.0510141716 reducing max timestep prior to age target 398 6.5331592115282059D+07 (age_target - star_age)/age_sigma 399 9.8551662383 reducing max timestep prior to age target 399 6.4058580548969269D+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 -99.000000 -99.000000 -6.951475 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7766327500045498D-13 log_rel_run_E_err -10.1158994287987802 (age_target - star_age)/age_sigma 400 9.6632352637 reducing max timestep prior to age target 400 6.2811029213983536D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4751429086 reducing max timestep prior to age target 401 6.1588428905696869D+07 (age_target - star_age)/age_sigma 402 9.2908124006 reducing max timestep prior to age target 402 6.0390280603575706D+07 (age_target - star_age)/age_sigma 403 9.1101685027 reducing max timestep prior to age target 403 5.9216095267498016D+07 (age_target - star_age)/age_sigma 404 8.9331374828 reducing max timestep prior to age target 404 5.8065393638140678D+07 (age_target - star_age)/age_sigma 405 8.7596470833 reducing max timestep prior to age target 405 5.6937706041371346D+07 (age_target - star_age)/age_sigma 406 8.5896264918 reducing max timestep prior to age target 406 5.5832572196537018D+07 (age_target - star_age)/age_sigma 407 8.4230063121 reducing max timestep prior to age target 407 5.4749541028599739D+07 (age_target - star_age)/age_sigma 408 8.2597185360 reducing max timestep prior to age target 408 5.3688170484020233D+07 (age_target - star_age)/age_sigma 409 8.0996965154 reducing max timestep prior to age target 409 5.2648027350333214D+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 -15.653560 -99.000000 -6.951791 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.9027037882473217D-13 log_rel_run_E_err -10.1057950854768865 (age_target - star_age)/age_sigma 410 7.9428749353 reducing max timestep prior to age target 410 5.1628687079319954D+07 (age_target - star_age)/age_sigma 411 7.7891897867 reducing max timestep prior to age target 411 5.0629733613726616D+07 (age_target - star_age)/age_sigma 412 7.6385783411 reducing max timestep prior to age target 412 4.9650759217445374D+07 (age_target - star_age)/age_sigma 413 7.4909791245 reducing max timestep prior to age target 413 4.8691364309090614D+07 (age_target - star_age)/age_sigma 414 7.3463318921 reducing max timestep prior to age target 414 4.7751157298901558D+07 (age_target - star_age)/age_sigma 415 7.2045776044 reducing max timestep prior to age target 415 4.6829754428916931D+07 (age_target - star_age)/age_sigma 416 7.0656584025 reducing max timestep prior to age target 416 4.5926779616332054D+07 (age_target - star_age)/age_sigma 417 6.9295175846 reducing max timestep prior to age target 417 4.5041864299999237D+07 (age_target - star_age)/age_sigma 418 6.7960995831 reducing max timestep prior to age target 418 4.4174647289992332D+07 (age_target - star_age)/age_sigma 419 6.6653499416 reducing max timestep prior to age target 419 4.3324774620185852D+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 1.8563865404710513D-13 log_rel_run_E_err -10.0957083961790985 (age_target - star_age)/age_sigma 421 6.4090806442 reducing max timestep prior to age target 421 4.1659024187364578D+07 (age_target - star_age)/age_sigma 422 6.2835086885 reducing max timestep prior to age target 422 4.0842806475282669D+07 (age_target - star_age)/age_sigma 423 6.1604481719 reducing max timestep prior to age target 423 4.0042913117442131D+07 (age_target - star_age)/age_sigma 424 6.0398488657 reducing max timestep prior to age target 424 3.9259017626758575D+07 (age_target - star_age)/age_sigma 425 5.9216615455 reducing max timestep prior to age target 425 3.8490800045887947D+07 (age_target - star_age)/age_sigma 426 5.8058379718 reducing max timestep prior to age target 426 3.7737946816635132D+07 (age_target - star_age)/age_sigma 427 5.6923308695 reducing max timestep prior to age target 427 3.7000150651968002D+07 (age_target - star_age)/age_sigma 428 5.5810939093 reducing max timestep prior to age target 428 3.6277110410593033D+07 (age_target - star_age)/age_sigma 429 5.4720816883 reducing max timestep prior to age target 429 3.5568530974046707D+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 1.8710498431732763D-13 log_rel_run_E_err -10.0856708220086624 (age_target - star_age)/age_sigma 430 5.3652497117 reducing max timestep prior to age target 430 3.4874123126230240D+07 (age_target - star_age)/age_sigma 431 5.2605543747 reducing max timestep prior to age target 431 3.4193603435371399D+07 (age_target - star_age)/age_sigma 432 5.1579529444 reducing max timestep prior to age target 432 3.3526694138328552D+07 (age_target - star_age)/age_sigma 433 5.0574035427 reducing max timestep prior to age target 433 3.2873123027226448D+07 (age_target - star_age)/age_sigma 434 4.9582387673 remaining steps and years until age target 434 50 3.2228551987477303D+07 (age_target - star_age)/age_sigma 435 4.8590739920 remaining steps and years until age target 435 49 3.1583980947728157D+07 (age_target - star_age)/age_sigma 436 4.7599092166 reducing max timestep prior to age target 436 3.0939409907978058D+07 (age_target - star_age)/age_sigma 437 4.6607444413 remaining steps and years until age target 437 47 3.0294838868228912D+07 (age_target - star_age)/age_sigma 438 4.5615796659 reducing max timestep prior to age target 438 2.9650267828478813D+07 (age_target - star_age)/age_sigma 439 4.4624148906 remaining steps and years until age target 439 45 2.9005696788729668D+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 -99.000000 -99.000000 -6.952449 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7595851598323728D-13 log_rel_run_E_err -10.0762437775627056 (age_target - star_age)/age_sigma 440 4.3632501152 remaining steps and years until age target 440 44 2.8361125748980522D+07 (age_target - star_age)/age_sigma 441 4.2640853399 reducing max timestep prior to age target 441 2.7716554709230423D+07 (age_target - star_age)/age_sigma 442 4.1649205645 remaining steps and years until age target 442 42 2.7071983669481277D+07 (age_target - star_age)/age_sigma 443 4.0657557892 reducing max timestep prior to age target 443 2.6427412629731178D+07 (age_target - star_age)/age_sigma 444 3.9665910138 remaining steps and years until age target 444 40 2.5782841589982033D+07 (age_target - star_age)/age_sigma 445 3.8674262385 remaining steps and years until age target 445 39 2.5138270550232887D+07 (age_target - star_age)/age_sigma 446 3.7682614632 reducing max timestep prior to age target 446 2.4493699510482788D+07 (age_target - star_age)/age_sigma 447 3.6690966878 remaining steps and years until age target 447 37 2.3849128470733643D+07 (age_target - star_age)/age_sigma 448 3.5699319125 reducing max timestep prior to age target 448 2.3204557430983543D+07 (age_target - star_age)/age_sigma 449 3.4707671371 remaining steps and years until age target 449 35 2.2559986391234398D+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 1.8057916090934013D-13 log_rel_run_E_err -10.0671664814985125 (age_target - star_age)/age_sigma 450 3.3716023618 remaining steps and years until age target 450 34 2.1915415351485252D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2724375864 reducing max timestep prior to age target 451 2.1270844311735153D+07 (age_target - star_age)/age_sigma 452 3.1732728111 remaining steps and years until age target 452 32 2.0626273271986008D+07 (age_target - star_age)/age_sigma 453 3.0741080357 reducing max timestep prior to age target 453 1.9981702232235909D+07 (age_target - star_age)/age_sigma 454 2.9749432604 remaining steps and years until age target 454 30 1.9337131192486763D+07 (age_target - star_age)/age_sigma 455 2.8757784850 reducing max timestep prior to age target 455 1.8692560152736664D+07 (age_target - star_age)/age_sigma 456 2.7766137097 remaining steps and years until age target 456 28 1.8047989112987518D+07 (age_target - star_age)/age_sigma 457 2.6774489343 remaining steps and years until age target 457 27 1.7403418073238373D+07 (age_target - star_age)/age_sigma 458 2.5782841590 reducing max timestep prior to age target 458 1.6758847033488274D+07 (age_target - star_age)/age_sigma 459 2.4791193837 remaining steps and years until age target 459 25 1.6114275993739128D+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 -99.000000 -99.000000 -6.952813 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.6880281761902318D-13 log_rel_run_E_err -10.0579132732117387 (age_target - star_age)/age_sigma 460 2.3799546083 reducing max timestep prior to age target 460 1.5469704953989029D+07 (age_target - star_age)/age_sigma 461 2.2807898330 remaining steps and years until age target 461 23 1.4825133914239883D+07 (age_target - star_age)/age_sigma 462 2.1816250576 remaining steps and years until age target 462 22 1.4180562874490738D+07 (age_target - star_age)/age_sigma 463 2.0824602823 reducing max timestep prior to age target 463 1.3535991834740639D+07 (age_target - star_age)/age_sigma 464 1.9832955069 remaining steps and years until age target 464 20 1.2891420794991493D+07 (age_target - star_age)/age_sigma 465 1.8841307316 reducing max timestep prior to age target 465 1.2246849755241394D+07 (age_target - star_age)/age_sigma 466 1.7849659562 remaining steps and years until age target 466 18 1.1602278715492249D+07 (age_target - star_age)/age_sigma 467 1.6858011809 remaining steps and years until age target 467 17 1.0957707675743103D+07 (age_target - star_age)/age_sigma 468 1.5866364055 reducing max timestep prior to age target 468 1.0313136635993004D+07 (age_target - star_age)/age_sigma 469 1.4874716302 remaining steps and years until age target 469 15 9.6685655962438583D+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 1.8414417150362569D-13 log_rel_run_E_err -10.0489403383985252 (age_target - star_age)/age_sigma 470 1.3883068548 reducing max timestep prior to age target 470 9.0239945564937592D+06 (age_target - star_age)/age_sigma 471 1.2891420795 remaining steps and years until age target 471 13 8.3794235167446136D+06 (age_target - star_age)/age_sigma 472 1.1899773042 reducing max timestep prior to age target 472 7.7348524769945145D+06 (age_target - star_age)/age_sigma 473 1.0908125288 remaining steps and years until age target 473 11 7.0902814372453690D+06 (age_target - star_age)/age_sigma 474 0.9916477535 remaining steps and years until age target 474 10 6.4457103974962234D+06 (age_target - star_age)/age_sigma 475 0.8924829781 reducing max timestep prior to age target 475 5.8011393577461243D+06 (age_target - star_age)/age_sigma 476 0.7933182028 remaining steps and years until age target 476 8 5.1565683179969788D+06 (age_target - star_age)/age_sigma 477 0.6941534274 reducing max timestep prior to age target 477 4.5119972782468796D+06 (age_target - star_age)/age_sigma 478 0.5949886521 remaining steps and years until age target 478 6 3.8674262384977341D+06 (age_target - star_age)/age_sigma 479 0.4958238767 remaining steps and years until age target 479 5 3.2228551987485886D+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 -99.000000 -99.000000 -6.953178 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.7615203294483105D-13 log_rel_run_E_err -10.0401363960731498 (age_target - star_age)/age_sigma 480 0.3966591014 reducing max timestep prior to age target 480 2.5782841589984894D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2974943260 reducing max timestep prior to age target 481 1.9337131192483902D+06 (age_target - star_age)/age_sigma 482 0.1983295507 remaining steps and years until age target 482 2 1.2891420794992447D+06 (age_target - star_age)/age_sigma 483 0.0991647753 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 2.93 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 -99.000000 -99.000000 -6.953251 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.8161566451902919D-13 log_rel_run_E_err -10.0366052933283871 Teff 5764.5719399269 radius 1.0622782376 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 3878.5788762368 M_H -0.0127881998 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 163.5380535446 log_R 0.0262382844 delta_nu 129.3843509383 nu_max 2729.4282123459 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 334680.7056432604 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 "13a2611" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251021" "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 3.3351283960191300E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763063E+03 1.0231407131233186E+00 -1.7395981959431566E-03 9.9353665865348391E-03 1.3680762272707946E+02 2.9640776267836432E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191300E+05 0 0 0 0 0 0 0 2 3.3468070564326044E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399268864E+03 1.0622782375813318E+00 -1.2788199777319889E-02 2.6238284372292867E-02 1.2938435093834747E+02 2.7294282123459179E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326044E+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 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -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 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -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 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -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 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -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 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 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 3.9562811873924580D-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 1.8246326219905981D-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 -21.674160 -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 2.4692961186459535D-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 -99.000000 -99.000000 -6.906603 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6031772416763224D-13 log_rel_run_E_err -11.5757682832888253 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 2.6180631724067863D-13 log_rel_run_E_err -11.2728559878274837 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 2.6664424453863587D-13 log_rel_run_E_err -11.0972598131364659 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 -99.000000 -99.000000 -6.911018 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.8822884236204941D-13 log_rel_run_E_err -10.9716669823891380 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 -99.000000 -99.000000 -6.910205 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7259859958450721D-13 log_rel_run_E_err -10.8747342817766341 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 -20.470040 -99.000000 -6.910187 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6087584033704423D-13 log_rel_run_E_err -10.7959571225823368 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 -20.072100 -99.000000 -6.910186 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6571320416791356D-13 log_rel_run_E_err -10.7307669722550774 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 -20.293948 -99.000000 -6.910177 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5622009221752063D-13 log_rel_run_E_err -10.6726356389542314 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 -99.000000 -99.000000 -6.910119 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.4615229313238333D-13 log_rel_run_E_err -10.6221665383460433 __________________________________________________________________________________________________________________________________________________ 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 -99.000000 -99.000000 -6.909765 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5941824616117218D-13 log_rel_run_E_err -10.5761984128817641 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 -20.470040 -99.000000 -6.907581 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5620924454772421D-13 log_rel_run_E_err -10.5367361754959390 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 -20.470040 -99.000000 -6.894484 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 3.8787137053046005D-13 log_rel_run_E_err -10.5040997139041323 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 2.3598204138779838D-11 log_rel_run_E_err -10.2225311294898678 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 2.4050280443249501D-13 log_rel_run_E_err -10.3199844154586664 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 -99.000000 -99.000000 -6.714681 0.000000 0.003429 0.002074 0.019895 0.000E+00 lgRho_cntr rel_E_err 2.2263673435583308D-13 log_rel_run_E_err -10.4352540592789733 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 -16.255620 -99.000000 -6.847198 0.000000 0.003414 0.002074 0.019898 0.000E+00 lgRho_cntr rel_E_err 1.5667801328763092D-13 log_rel_run_E_err -10.5739982720074686 (age_target - star_age)/age_sigma 168 694.7514474973 reducing max timestep prior to age target 168 4.5158844087325506D+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 -15.954590 -99.000000 -6.804894 0.000000 0.001391 0.002075 0.020240 0.000E+00 max increase rel_E_err 1.8914190805192149D-13 log_rel_run_E_err -10.5985838638406964 (age_target - star_age)/age_sigma 176 677.4473861558 reducing max timestep prior to age target 176 4.4034080100125113D+09 (age_target - star_age)/age_sigma 179 661.0324369449 reducing max timestep prior to age target 179 4.2967108401421700D+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 -99.000000 -99.000000 -6.814263 0.000000 0.000015 0.002078 0.020506 0.000E+00 max increase rel_E_err 1.8772518184041823D-13 log_rel_run_E_err -10.5693563765434035 (age_target - star_age)/age_sigma 180 653.2398456712 reducing max timestep prior to age target 180 4.2460589968630633D+09 (age_target - star_age)/age_sigma 182 632.6674047086 reducing max timestep prior to age target 182 4.1123381306062207D+09 (age_target - star_age)/age_sigma 183 620.3484608510 reducing max timestep prior to age target 183 4.0322649955312414D+09 (age_target - star_age)/age_sigma 184 608.2758958704 reducing max timestep prior to age target 184 3.9537933231577611D+09 (age_target - star_age)/age_sigma 185 596.4447821895 reducing max timestep prior to age target 185 3.8768910842317510D+09 (age_target - star_age)/age_sigma 186 584.8502907822 reducing max timestep prior to age target 186 3.8015268900842609D+09 (age_target - star_age)/age_sigma 187 573.4876892030 reducing max timestep prior to age target 187 3.7276699798197203D+09 (age_target - star_age)/age_sigma 188 562.3523396555 reducing max timestep prior to age target 188 3.6552902077604709D+09 (age_target - star_age)/age_sigma 189 551.4396970988 reducing max timestep prior to age target 189 3.5843580311424060D+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 1.9255531158912072D-13 log_rel_run_E_err -10.5427748920711597 (age_target - star_age)/age_sigma 190 540.7453073933 reducing max timestep prior to age target 190 3.5148444980567031D+09 (age_target - star_age)/age_sigma 191 530.2648054820 reducing max timestep prior to age target 191 3.4467212356327138D+09 (age_target - star_age)/age_sigma 192 519.9939136088 reducing max timestep prior to age target 192 3.3799604384572043D+09 (age_target - star_age)/age_sigma 193 509.9284395731 reducing max timestep prior to age target 193 3.3145348572252054D+09 (age_target - star_age)/age_sigma 194 500.0642750181 reducing max timestep prior to age target 194 3.2504177876178460D+09 (age_target - star_age)/age_sigma 195 490.3973937543 reducing max timestep prior to age target 195 3.1875830594026337D+09 (age_target - star_age)/age_sigma 196 480.9238501157 reducing max timestep prior to age target 196 3.1260050257517262D+09 (age_target - star_age)/age_sigma 197 471.6397773498 reducing max timestep prior to age target 197 3.0656585527738366D+09 (age_target - star_age)/age_sigma 198 462.5413860393 reducing max timestep prior to age target 198 3.0065190092555046D+09 (age_target - star_age)/age_sigma 199 453.6249625550 reducing max timestep prior to age target 199 2.9485622566075392D+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 -15.954590 -99.000000 -6.838175 0.000000 0.000016 0.002098 0.020703 0.000E+00 max_dt rel_E_err 1.8280286637034398D-13 log_rel_run_E_err -10.5156574780771663 (age_target - star_age)/age_sigma 200 444.8868675404 reducing max timestep prior to age target 200 2.8917646390125332D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 436.3235344261 reducing max timestep prior to age target 201 2.8361029737694278D+09 (age_target - star_age)/age_sigma 202 427.9314679740 reducing max timestep prior to age target 202 2.7815545418311844D+09 (age_target - star_age)/age_sigma 204 411.4830177280 reducing max timestep prior to age target 204 2.6746396152322264D+09 (age_target - star_age)/age_sigma 205 403.4232771075 reducing max timestep prior to age target 205 2.6222513011987371D+09 (age_target - star_age)/age_sigma 206 395.5247312994 reducing max timestep prior to age target 206 2.5709107534459181D+09 (age_target - star_age)/age_sigma 207 387.7841564074 reducing max timestep prior to age target 207 2.5205970166481547D+09 (age_target - star_age)/age_sigma 208 380.1983930133 reducing max timestep prior to age target 208 2.4712895545863471D+09 (age_target - star_age)/age_sigma 209 372.7643448870 reducing max timestep prior to age target 209 2.4229682417657757D+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 1.8121862676750753D-13 log_rel_run_E_err -10.4914304920742918 (age_target - star_age)/age_sigma 210 365.4789777233 reducing max timestep prior to age target 210 2.3756133552016149D+09 (age_target - star_age)/age_sigma 211 358.3393179029 reducing max timestep prior to age target 211 2.3292055663687382D+09 (age_target - star_age)/age_sigma 212 351.3424512788 reducing max timestep prior to age target 212 2.2837259333125186D+09 (age_target - star_age)/age_sigma 213 344.4855219873 reducing max timestep prior to age target 213 2.2391558929174232D+09 (age_target - star_age)/age_sigma 214 337.7657312816 reducing max timestep prior to age target 214 2.1954772533302302D+09 (age_target - star_age)/age_sigma 215 331.1803363900 reducing max timestep prior to age target 215 2.1526721865347815D+09 (age_target - star_age)/age_sigma 216 324.7266493962 reducing max timestep prior to age target 216 2.1107232210752411D+09 (age_target - star_age)/age_sigma 217 318.4020361423 reducing max timestep prior to age target 217 2.0696132349248915D+09 (age_target - star_age)/age_sigma 218 312.2039151535 reducing max timestep prior to age target 218 2.0293254484975491D+09 (age_target - star_age)/age_sigma 219 306.1297565844 reducing max timestep prior to age target 219 1.9898434177987533D+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 -15.954590 -99.000000 -6.856100 0.000000 0.000017 0.002111 0.020831 0.000E+00 max_dt rel_E_err 1.7236086211634589D-13 log_rel_run_E_err -10.4680695273289341 (age_target - star_age)/age_sigma 220 300.1770811868 reducing max timestep prior to age target 220 1.9511510277139335D+09 (age_target - star_age)/age_sigma 221 294.3434592970 reducing max timestep prior to age target 221 1.9132324854308105D+09 (age_target - star_age)/age_sigma 222 288.6265098451 reducing max timestep prior to age target 222 1.8760723139933496D+09 (age_target - star_age)/age_sigma 223 283.0238993823 reducing max timestep prior to age target 223 1.8396553459846382D+09 (age_target - star_age)/age_sigma 224 277.5333411286 reducing max timestep prior to age target 224 1.8039667173361006D+09 (age_target - star_age)/age_sigma 225 272.1525940401 reducing max timestep prior to age target 225 1.7689918612605338D+09 (age_target - star_age)/age_sigma 226 266.8794618933 reducing max timestep prior to age target 226 1.7347165023064785D+09 (age_target - star_age)/age_sigma 227 261.7117923895 reducing max timestep prior to age target 227 1.7011266505315046D+09 (age_target - star_age)/age_sigma 228 256.6474762757 reducing max timestep prior to age target 228 1.6682085957920299D+09 (age_target - star_age)/age_sigma 229 251.6844464842 reducing max timestep prior to age target 229 1.6359489021473446D+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 -15.352530 -99.000000 -6.863061 0.000000 0.000017 0.002116 0.020875 0.000E+00 max_dt rel_E_err 1.9105798584499423D-13 log_rel_run_E_err -10.4460255033350808 (age_target - star_age)/age_sigma 230 246.8206772885 reducing max timestep prior to age target 230 1.6043344023755531D+09 (age_target - star_age)/age_sigma 231 242.0541834768 reducing max timestep prior to age target 231 1.5733521925991974D+09 (age_target - star_age)/age_sigma 232 237.3830195413 reducing max timestep prior to age target 232 1.5429896270183687D+09 (age_target - star_age)/age_sigma 233 232.8052788845 reducing max timestep prior to age target 233 1.5132343127491570D+09 (age_target - star_age)/age_sigma 234 228.3190930408 reducing max timestep prior to age target 234 1.4840741047653294D+09 (age_target - star_age)/age_sigma 235 223.9226309140 reducing max timestep prior to age target 235 1.4554971009411778D+09 (age_target - star_age)/age_sigma 236 219.6140980298 reducing max timestep prior to age target 236 1.4274916371935096D+09 (age_target - star_age)/age_sigma 238 211.1693735766 reducing max timestep prior to age target 238 1.3726009282480803D+09 (age_target - star_age)/age_sigma 239 207.0314585946 reducing max timestep prior to age target 239 1.3457044808648195D+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 -15.954590 -99.000000 -6.868955 0.000000 0.000018 0.002120 0.020909 0.000E+00 max_dt rel_E_err 1.8731285916799767D-13 log_rel_run_E_err -10.4253211493371367 (age_target - star_age)/age_sigma 240 202.9763019122 reducing max timestep prior to age target 240 1.3193459624292245D+09 (age_target - star_age)/age_sigma 241 199.0022483634 reducing max timestep prior to age target 241 1.2935146143623409D+09 (age_target - star_age)/age_sigma 242 195.1076758857 reducing max timestep prior to age target 242 1.2681998932567954D+09 (age_target - star_age)/age_sigma 243 191.2909948574 reducing max timestep prior to age target 243 1.2433914665733604D+09 (age_target - star_age)/age_sigma 244 187.5506474498 reducing max timestep prior to age target 244 1.2190792084235940D+09 (age_target - star_age)/age_sigma 245 183.8851069903 reducing max timestep prior to age target 245 1.1952531954368234D+09 (age_target - star_age)/age_sigma 246 180.2928773400 reducing max timestep prior to age target 246 1.1719037027097883D+09 (age_target - star_age)/age_sigma 247 176.7724922827 reducing max timestep prior to age target 247 1.1490211998372936D+09 (age_target - star_age)/age_sigma 248 173.3225149265 reducing max timestep prior to age target 248 1.1265963470222487D+09 (age_target - star_age)/age_sigma 249 169.9415371175 reducing max timestep prior to age target 249 1.1046199912635045D+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 1.9548208001942241D-13 log_rel_run_E_err -10.4048123043498979 (age_target - star_age)/age_sigma 250 166.6281788646 reducing max timestep prior to age target 250 1.0830831626199355D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 163.3810877768 reducing max timestep prior to age target 251 1.0619770705492382D+09 (age_target - star_age)/age_sigma 252 160.1989385108 reducing max timestep prior to age target 252 1.0412931003199544D+09 (age_target - star_age)/age_sigma 253 157.0804322300 reducing max timestep prior to age target 253 1.0210228094952564D+09 (age_target - star_age)/age_sigma 254 154.0242960749 reducing max timestep prior to age target 254 1.0011579244870524D+09 (age_target - star_age)/age_sigma 255 151.0292826429 reducing max timestep prior to age target 255 9.8169033717901230D+08 (age_target - star_age)/age_sigma 256 148.0941694796 reducing max timestep prior to age target 256 9.6261210161713314D+08 (age_target - star_age)/age_sigma 257 145.2177585795 reducing max timestep prior to age target 257 9.4391543076649189D+08 (age_target - star_age)/age_sigma 258 142.3988758974 reducing max timestep prior to age target 258 9.2559269333286285D+08 (age_target - star_age)/age_sigma 259 139.6363708689 reducing max timestep prior to age target 259 9.0763641064790678D+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 -15.954590 -99.000000 -6.878088 0.000000 0.000019 0.002126 0.020959 0.000E+00 max_dt rel_E_err 1.8042612683199728D-13 log_rel_run_E_err -10.3852755968212715 (age_target - star_age)/age_sigma 260 136.9291159410 reducing max timestep prior to age target 260 8.9003925361664963D+08 (age_target - star_age)/age_sigma 261 134.2760061117 reducing max timestep prior to age target 261 8.7279403972601748D+08 (age_target - star_age)/age_sigma 262 131.6759584790 reducing max timestep prior to age target 262 8.5589373011319828D+08 (age_target - star_age)/age_sigma 263 129.1279117989 reducing max timestep prior to age target 263 8.3933142669263554D+08 (age_target - star_age)/age_sigma 264 126.6308260524 reducing max timestep prior to age target 264 8.2310036934048414D+08 (age_target - star_age)/age_sigma 265 124.1836820208 reducing max timestep prior to age target 265 8.0719393313537550D+08 (age_target - star_age)/age_sigma 266 121.7854808699 reducing max timestep prior to age target 266 7.9160562565436935D+08 (age_target - star_age)/age_sigma 267 119.4352437420 reducing max timestep prior to age target 267 7.7632908432298279D+08 (age_target - star_age)/age_sigma 268 117.1320113566 reducing max timestep prior to age target 268 7.6135807381822395D+08 (age_target - star_age)/age_sigma 269 114.8748436190 reducing max timestep prior to age target 269 7.4668648352356052D+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 -15.653560 -99.000000 -6.881523 0.000000 0.000019 0.002128 0.020976 0.000E+00 max_dt rel_E_err 1.7855599003651033D-13 log_rel_run_E_err -10.3667478552427621 (age_target - star_age)/age_sigma 270 112.6628192361 reducing max timestep prior to age target 270 7.3230832503479052D+08 (age_target - star_age)/age_sigma 271 110.4950353409 reducing max timestep prior to age target 271 7.1821772971579599D+08 (age_target - star_age)/age_sigma 273 106.2461789062 reducing max timestep prior to age target 273 6.9060016289056587D+08 (age_target - star_age)/age_sigma 274 104.1642392533 reducing max timestep prior to age target 274 6.7706755514620399D+08 (age_target - star_age)/age_sigma 275 102.1239383933 reducing max timestep prior to age target 275 6.6380559955672836D+08 (age_target - star_age)/age_sigma 276 100.1244435506 reducing max timestep prior to age target 276 6.5080888307904243D+08 (age_target - star_age)/age_sigma 277 98.1649386048 reducing max timestep prior to age target 277 6.3807210093091011D+08 (age_target - star_age)/age_sigma 278 96.2446237578 reducing max timestep prior to age target 278 6.2559005442574072D+08 (age_target - star_age)/age_sigma 279 94.3627152078 reducing max timestep prior to age target 279 6.1335764885067463D+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 10 3.9681E+09 2.117022 -0.052974 -15.109492 -99.000000 -6.884410 0.000000 0.000019 0.002130 0.020989 0.000E+00 max_dt rel_E_err 1.9412744224127296D-13 log_rel_run_E_err -10.3486202742461160 (age_target - star_age)/age_sigma 280 92.5184448288 reducing max timestep prior to age target 280 6.0136989138710976D+08 (age_target - star_age)/age_sigma 281 90.7110598574 reducing max timestep prior to age target 281 5.8962188907281637D+08 (age_target - star_age)/age_sigma 282 88.9398225854 reducing max timestep prior to age target 282 5.7810884680480862D+08 (age_target - star_age)/age_sigma 283 87.2040100588 reducing max timestep prior to age target 283 5.6682606538216066D+08 (age_target - star_age)/age_sigma 284 85.5029137828 reducing max timestep prior to age target 284 5.5576893958796644D+08 (age_target - star_age)/age_sigma 285 83.8358394323 reducing max timestep prior to age target 285 5.4493295630965614D+08 (age_target - star_age)/age_sigma 286 82.2021065688 reducing max timestep prior to age target 286 5.3431369269691181D+08 (age_target - star_age)/age_sigma 287 80.6010483625 reducing max timestep prior to age target 287 5.2390681435642242D+08 (age_target - star_age)/age_sigma 288 79.0320113204 reducing max timestep prior to age target 288 5.1370807358274269D+08 (age_target - star_age)/age_sigma 289 77.4943550192 reducing max timestep prior to age target 289 5.0371330762453651D+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 -99.000000 -99.000000 -6.886789 0.000000 0.000019 0.002131 0.021000 0.000E+00 max_dt rel_E_err 1.8886401410731087D-13 log_rel_run_E_err -10.3311263273504697 (age_target - star_age)/age_sigma 290 75.9874518439 reducing max timestep prior to age target 290 4.9391843698549509D+08 (age_target - star_age)/age_sigma 291 74.5106867322 reducing max timestep prior to age target 291 4.8431946375923395D+08 (age_target - star_age)/age_sigma 292 73.0634569227 reducing max timestep prior to age target 292 4.7491246999749804D+08 (age_target - star_age)/age_sigma 293 71.6451717094 reducing max timestep prior to age target 293 4.6569361611099672D+08 (age_target - star_age)/age_sigma 294 70.2552522003 reducing max timestep prior to age target 294 4.5665913930222511D+08 (age_target - star_age)/age_sigma 295 68.8931310815 reducing max timestep prior to age target 295 4.4780535202962971D+08 (age_target - star_age)/age_sigma 296 67.5582523850 reducing max timestep prior to age target 296 4.3912864050248575D+08 (age_target - star_age)/age_sigma 297 66.2500712624 reducing max timestep prior to age target 297 4.3062546320588493D+08 (age_target - star_age)/age_sigma 298 64.9680537623 reducing max timestep prior to age target 298 4.2229234945521593D+08 (age_target - star_age)/age_sigma 299 63.7116766122 reducing max timestep prior to age target 299 4.1412589797956038D+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 -99.000000 -99.000000 -6.888744 0.000000 0.000020 0.002132 0.021008 0.000E+00 max_dt rel_E_err 1.8426995917252448D-13 log_rel_run_E_err -10.3140708601518583 (age_target - star_age)/age_sigma 300 62.4804270051 reducing max timestep prior to age target 300 4.0612277553341818D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.2738023902 reducing max timestep prior to age target 301 3.9827971553619862D+08 (age_target - star_age)/age_sigma 302 60.0913102675 reducing max timestep prior to age target 302 3.9059351673892307D+08 (age_target - star_age)/age_sigma 303 58.9324679873 reducing max timestep prior to age target 303 3.8306104191759300D+08 (age_target - star_age)/age_sigma 304 57.7968025527 reducing max timestep prior to age target 304 3.7567921659268999D+08 (age_target - star_age)/age_sigma 305 56.6838504268 reducing max timestep prior to age target 305 3.6844502777428484D+08 (age_target - star_age)/age_sigma 306 55.5931573434 reducing max timestep prior to age target 306 3.6135552273224783D+08 (age_target - star_age)/age_sigma 308 53.4553989000 reducing max timestep prior to age target 308 3.4746009284985590D+08 (age_target - star_age)/age_sigma 309 52.4078972627 reducing max timestep prior to age target 309 3.4065133220748329D+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 1.8999991222948662D-13 log_rel_run_E_err -10.2976476375707335 (age_target - star_age)/age_sigma 310 51.3813456581 reducing max timestep prior to age target 310 3.3397874677795887D+08 (age_target - star_age)/age_sigma 311 50.3753250857 reducing max timestep prior to age target 311 3.2743961305702448D+08 (age_target - star_age)/age_sigma 312 49.3894249247 reducing max timestep prior to age target 312 3.2103126201050901D+08 (age_target - star_age)/age_sigma 313 48.4232427669 reducing max timestep prior to age target 313 3.1475107798492336D+08 (age_target - star_age)/age_sigma 314 47.4763842523 reducing max timestep prior to age target 314 3.0859649763985014D+08 (age_target - star_age)/age_sigma 315 46.5484629080 reducing max timestep prior to age target 315 3.0256500890167761D+08 (age_target - star_age)/age_sigma 316 45.6390999905 reducing max timestep prior to age target 316 2.9665414993826914D+08 (age_target - star_age)/age_sigma 317 44.7479243314 reducing max timestep prior to age target 317 2.9086150815412855D+08 (age_target - star_age)/age_sigma 318 43.8745721855 reducing max timestep prior to age target 318 2.8518471920567036D+08 (age_target - star_age)/age_sigma 319 43.0186870825 reducing max timestep prior to age target 319 2.7962146603618193D+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 -99.000000 -99.000000 -6.891702 0.000000 0.000020 0.002134 0.021021 0.000E+00 max_dt rel_E_err 1.8414852739885903D-13 log_rel_run_E_err -10.2819346802879910 (age_target - star_age)/age_sigma 320 42.1799196816 reducing max timestep prior to age target 320 2.7416947793008327D+08 (age_target - star_age)/age_sigma 321 41.3579276286 reducing max timestep prior to age target 321 2.6882652958610630D+08 (age_target - star_age)/age_sigma 322 40.5523754168 reducing max timestep prior to age target 322 2.6359044020900822D+08 (age_target - star_age)/age_sigma 323 39.7629342491 reducing max timestep prior to age target 323 2.5845907261945343D+08 (age_target - star_age)/age_sigma 324 38.9892819049 reducing max timestep prior to age target 324 2.5343033238168907D+08 (age_target - star_age)/age_sigma 325 38.2311026075 reducing max timestep prior to age target 325 2.4850216694868088D+08 (age_target - star_age)/age_sigma 326 37.4880868961 reducing max timestep prior to age target 326 2.4367256482433224D+08 (age_target - star_age)/age_sigma 327 36.7599314988 reducing max timestep prior to age target 327 2.3893955474246979D+08 (age_target - star_age)/age_sigma 328 36.0463392096 reducing max timestep prior to age target 328 2.3430120486224556D+08 (age_target - star_age)/age_sigma 329 35.3470187661 reducing max timestep prior to age target 329 2.2975562197962570D+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 -15.477469 -99.000000 -6.892801 0.000000 0.000020 0.002135 0.021025 0.000E+00 max_dt rel_E_err 1.9397477757428826D-13 log_rel_run_E_err -10.2667594589541924 (age_target - star_age)/age_sigma 330 34.6616847315 reducing max timestep prior to age target 330 2.2530095075465775D+08 (age_target - star_age)/age_sigma 331 33.9900573776 reducing max timestep prior to age target 331 2.2093537295418930D+08 (age_target - star_age)/age_sigma 332 33.3318625707 reducing max timestep prior to age target 332 2.1665710670973015D+08 (age_target - star_age)/age_sigma 333 32.6868316600 reducing max timestep prior to age target 333 2.1246440579016018D+08 (age_target - star_age)/age_sigma 334 32.0547013675 reducing max timestep prior to age target 334 2.0835555888898182D+08 (age_target - star_age)/age_sigma 335 31.4352136809 reducing max timestep prior to age target 335 2.0432888892582798D+08 (age_target - star_age)/age_sigma 336 30.8281157480 reducing max timestep prior to age target 336 2.0038275236193562D+08 (age_target - star_age)/age_sigma 337 30.2331597737 reducing max timestep prior to age target 337 1.9651553852932167D+08 (age_target - star_age)/age_sigma 338 29.6501029190 reducing max timestep prior to age target 338 1.9272566897336006D+08 (age_target - star_age)/age_sigma 339 29.0787072013 reducing max timestep prior to age target 339 1.8901159680851746D+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 -15.477469 -99.000000 -6.893703 0.000000 0.000020 0.002135 0.021028 0.000E+00 max_dt rel_E_err 1.9329321393876010D-13 log_rel_run_E_err -10.2520361853771309 (age_target - star_age)/age_sigma 340 28.5187393980 reducing max timestep prior to age target 340 1.8537180608697224D+08 (age_target - star_age)/age_sigma 341 27.9699709507 reducing max timestep prior to age target 341 1.8180481117985821D+08 (age_target - star_age)/age_sigma 343 26.8943847941 reducing max timestep prior to age target 343 1.7481350116191292D+08 (age_target - star_age)/age_sigma 344 26.3673475774 reducing max timestep prior to age target 344 1.7138775925311947D+08 (age_target - star_age)/age_sigma 345 25.8508511050 reducing max timestep prior to age target 345 1.6803053218250275D+08 (age_target - star_age)/age_sigma 346 25.3446845620 reducing max timestep prior to age target 346 1.6474044965329838D+08 (age_target - star_age)/age_sigma 347 24.8486413500 reducing max timestep prior to age target 347 1.6151616877467823D+08 (age_target - star_age)/age_sigma 348 24.3625190021 reducing max timestep prior to age target 348 1.5835637351362991D+08 (age_target - star_age)/age_sigma 349 23.8861191012 reducing max timestep prior to age target 349 1.5525977415780258D+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 1.8897203044609474D-13 log_rel_run_E_err -10.2378991678345326 (age_target - star_age)/age_sigma 350 23.4192471983 reducing max timestep prior to age target 350 1.5222510678909206D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9617127335 reducing max timestep prior to age target 351 1.4925113276775551D+08 (age_target - star_age)/age_sigma 352 22.5133289580 reducing max timestep prior to age target 352 1.4633663822684574D+08 (age_target - star_age)/age_sigma 353 22.0739128580 reducing max timestep prior to age target 353 1.4348043357675457D+08 (age_target - star_age)/age_sigma 354 21.6432850799 reducing max timestep prior to age target 354 1.4068135301966476D+08 (age_target - star_age)/age_sigma 355 21.2212698575 reducing max timestep prior to age target 355 1.3793825407371712D+08 (age_target - star_age)/age_sigma 356 20.8076949395 reducing max timestep prior to age target 356 1.3525001710668755D+08 (age_target - star_age)/age_sigma 357 20.4023915198 reducing max timestep prior to age target 357 1.3261554487899971D+08 (age_target - star_age)/age_sigma 358 20.0051941686 reducing max timestep prior to age target 358 1.3003376209586525D+08 (age_target - star_age)/age_sigma 359 19.6159407644 reducing max timestep prior to age target 359 1.2750361496839333D+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 -15.477469 -99.000000 -6.895072 0.000000 0.000020 0.002136 0.021034 0.000E+00 max_dt rel_E_err 1.7843809869504742D-13 log_rel_run_E_err -10.2244632513769975 (age_target - star_age)/age_sigma 360 19.2344724282 reducing max timestep prior to age target 360 1.2502407078347015D+08 (age_target - star_age)/age_sigma 361 18.8606334588 reducing max timestep prior to age target 361 1.2259411748224640D+08 (age_target - star_age)/age_sigma 362 18.4942712688 reducing max timestep prior to age target 362 1.2021276324704647D+08 (age_target - star_age)/age_sigma 363 18.1352363225 reducing max timestep prior to age target 363 1.1787903609655094D+08 (age_target - star_age)/age_sigma 364 17.7833820752 reducing max timestep prior to age target 364 1.1559198348906612D+08 (age_target - star_age)/age_sigma 365 17.4385649129 reducing max timestep prior to age target 365 1.1335067193373013D+08 (age_target - star_age)/age_sigma 366 17.1006440938 reducing max timestep prior to age target 366 1.1115418660950089D+08 (age_target - star_age)/age_sigma 367 16.7694816910 reducing max timestep prior to age target 367 1.0900163099175644D+08 (age_target - star_age)/age_sigma 368 16.4449425364 reducing max timestep prior to age target 368 1.0689212648636627D+08 (age_target - star_age)/age_sigma 369 16.1268941648 reducing max timestep prior to age target 369 1.0482481207108498D+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 1.7434445631912665D-13 log_rel_run_E_err -10.2110566945490913 (age_target - star_age)/age_sigma 370 15.8152067606 reducing max timestep prior to age target 370 1.0279884394410801D+08 (age_target - star_age)/age_sigma 371 15.5097531046 reducing max timestep prior to age target 371 1.0081339517967129D+08 (age_target - star_age)/age_sigma 372 15.2104085216 reducing max timestep prior to age target 372 9.8867655390523911D+07 (age_target - star_age)/age_sigma 373 14.9170508303 reducing max timestep prior to age target 373 9.6960830397158623D+07 (age_target - star_age)/age_sigma 374 14.6295602929 reducing max timestep prior to age target 374 9.5092141903660774D+07 (age_target - star_age)/age_sigma 375 14.3478195662 reducing max timestep prior to age target 375 9.3260827180032730D+07 (age_target - star_age)/age_sigma 376 14.0717136540 reducing max timestep prior to age target 376 9.1466138750878334D+07 (age_target - star_age)/age_sigma 378 13.5305460661 reducing max timestep prior to age target 378 8.7948549429734230D+07 (age_target - star_age)/age_sigma 379 13.2653739481 reducing max timestep prior to age target 379 8.6224930662373543D+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 -99.000000 -99.000000 -6.895991 0.000000 0.000020 0.002136 0.021037 0.000E+00 max_dt rel_E_err 1.7647338703272913D-13 log_rel_run_E_err -10.1986649516435222 (age_target - star_age)/age_sigma 380 13.0055052724 reducing max timestep prior to age target 380 8.4535784270359993D+07 (age_target - star_age)/age_sigma 381 12.7508339702 reducing max timestep prior to age target 381 8.2880420806186676D+07 (age_target - star_age)/age_sigma 382 12.5012560940 reducing max timestep prior to age target 382 8.1258164611296654D+07 (age_target - star_age)/age_sigma 383 12.2566697754 reducing max timestep prior to age target 383 7.9668353540305138D+07 (age_target - star_age)/age_sigma 384 12.0169751832 reducing max timestep prior to age target 384 7.8110338690732002D+07 (age_target - star_age)/age_sigma 385 11.7820744828 reducing max timestep prior to age target 385 7.6583484138151169D+07 (age_target - star_age)/age_sigma 386 11.5518717964 reducing max timestep prior to age target 386 7.5087166676622391D+07 (age_target - star_age)/age_sigma 387 11.3262731637 reducing max timestep prior to age target 387 7.3620775564323425D+07 (age_target - star_age)/age_sigma 388 11.1051865037 reducing max timestep prior to age target 388 7.2183712274271011D+07 (age_target - star_age)/age_sigma 389 10.8885215769 reducing max timestep prior to age target 389 7.0775390250020027D+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 1.8224965896454243D-13 log_rel_run_E_err -10.1862906071709904 (age_target - star_age)/age_sigma 390 10.6761899487 reducing max timestep prior to age target 390 6.9395234666253090D+07 (age_target - star_age)/age_sigma 391 10.4681049529 reducing max timestep prior to age target 391 6.8042682194162369D+07 (age_target - star_age)/age_sigma 392 10.2641816572 reducing max timestep prior to age target 392 6.6717180771512985D+07 (age_target - star_age)/age_sigma 393 10.0643368273 reducing max timestep prior to age target 393 6.5418189377316475D+07 (age_target - star_age)/age_sigma 394 9.8684888940 reducing max timestep prior to age target 394 6.4145177811004639D+07 (age_target - star_age)/age_sigma 395 9.6765579194 reducing max timestep prior to age target 395 6.2897626476018906D+07 (age_target - star_age)/age_sigma 396 9.4884655643 reducing max timestep prior to age target 396 6.1675026167732239D+07 (age_target - star_age)/age_sigma 397 9.3041350562 reducing max timestep prior to age target 397 6.0476877865611076D+07 (age_target - star_age)/age_sigma 398 9.1234911584 reducing max timestep prior to age target 398 5.9302692529532433D+07 (age_target - star_age)/age_sigma 399 8.9464601385 reducing max timestep prior to age target 399 5.8151990900176048D+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 -99.000000 -99.000000 -6.896617 0.000000 0.000021 0.002137 0.021039 0.000E+00 max_dt rel_E_err 1.8352524335324950D-13 log_rel_run_E_err -10.1743245394227717 (age_target - star_age)/age_sigma 400 8.7729697390 reducing max timestep prior to age target 400 5.7024303303406715D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.6029491475 reducing max timestep prior to age target 401 5.5919169458572388D+07 (age_target - star_age)/age_sigma 402 8.4363289678 reducing max timestep prior to age target 402 5.4836138290634155D+07 (age_target - star_age)/age_sigma 403 8.2730411917 reducing max timestep prior to age target 403 5.3774767746055603D+07 (age_target - star_age)/age_sigma 404 8.1130191711 reducing max timestep prior to age target 404 5.2734624612368584D+07 (age_target - star_age)/age_sigma 405 7.9561975910 reducing max timestep prior to age target 405 5.1715284341355324D+07 (age_target - star_age)/age_sigma 406 7.8025124424 reducing max timestep prior to age target 406 5.0716330875761986D+07 (age_target - star_age)/age_sigma 407 7.6519009968 reducing max timestep prior to age target 407 4.9737356479480743D+07 (age_target - star_age)/age_sigma 408 7.5043017802 reducing max timestep prior to age target 408 4.8777961571125031D+07 (age_target - star_age)/age_sigma 409 7.3596545478 reducing max timestep prior to age target 409 4.7837754560936928D+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 1.8180125970726371D-13 log_rel_run_E_err -10.1623375662953652 (age_target - star_age)/age_sigma 410 7.2179002601 reducing max timestep prior to age target 410 4.6916351690952301D+07 (age_target - star_age)/age_sigma 411 7.0789810582 reducing max timestep prior to age target 411 4.6013376878367424D+07 (age_target - star_age)/age_sigma 412 6.9428402403 reducing max timestep prior to age target 412 4.5128461562033653D+07 (age_target - star_age)/age_sigma 414 6.6760042372 reducing max timestep prior to age target 414 4.3394027542020798D+07 (age_target - star_age)/age_sigma 415 6.5452545957 reducing max timestep prior to age target 415 4.2544154872214317D+07 (age_target - star_age)/age_sigma 416 6.4171199470 reducing max timestep prior to age target 416 4.1711279655803680D+07 (age_target - star_age)/age_sigma 417 6.2915479913 reducing max timestep prior to age target 417 4.0895061943721771D+07 (age_target - star_age)/age_sigma 418 6.1684874748 reducing max timestep prior to age target 418 4.0095168585881233D+07 (age_target - star_age)/age_sigma 419 6.0478881685 reducing max timestep prior to age target 419 3.9311273095196724D+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 1.8822536356883614D-13 log_rel_run_E_err -10.1493352298698305 (age_target - star_age)/age_sigma 420 5.9297008484 reducing max timestep prior to age target 420 3.8543055514327049D+07 (age_target - star_age)/age_sigma 421 5.8138772746 reducing max timestep prior to age target 421 3.7790202285074234D+07 (age_target - star_age)/age_sigma 422 5.7003701724 reducing max timestep prior to age target 422 3.7052406120406151D+07 (age_target - star_age)/age_sigma 423 5.5891332122 reducing max timestep prior to age target 423 3.6329365879032135D+07 (age_target - star_age)/age_sigma 424 5.4801209912 reducing max timestep prior to age target 424 3.5620786442485809D+07 (age_target - star_age)/age_sigma 425 5.3732890146 reducing max timestep prior to age target 425 3.4926378594669342D+07 (age_target - star_age)/age_sigma 426 5.2685936775 reducing max timestep prior to age target 426 3.4245858903809547D+07 (age_target - star_age)/age_sigma 427 5.1659922472 reducing max timestep prior to age target 427 3.3578949606766701D+07 (age_target - star_age)/age_sigma 428 5.0654428455 reducing max timestep prior to age target 428 3.2925378495665550D+07 (age_target - star_age)/age_sigma 429 4.9661204368 reducing max timestep prior to age target 429 3.2279782838887215D+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 -99.000000 -99.000000 -6.897196 0.000000 0.000021 0.002137 0.021041 0.000E+00 max_dt rel_E_err 1.7900110496400431D-13 log_rel_run_E_err -10.1381563553991416 (age_target - star_age)/age_sigma 430 4.8667980280 remaining steps and years until age target 430 49 3.1634187182109833D+07 (age_target - star_age)/age_sigma 431 4.7674756193 reducing max timestep prior to age target 431 3.0988591525331497D+07 (age_target - star_age)/age_sigma 432 4.6681532105 remaining steps and years until age target 432 47 3.0342995868554115D+07 (age_target - star_age)/age_sigma 433 4.5688308018 reducing max timestep prior to age target 433 2.9697400211775780D+07 (age_target - star_age)/age_sigma 434 4.4695083931 reducing max timestep prior to age target 434 2.9051804554997444D+07 (age_target - star_age)/age_sigma 435 4.3701859843 remaining steps and years until age target 435 44 2.8406208898220062D+07 (age_target - star_age)/age_sigma 436 4.2708635756 reducing max timestep prior to age target 436 2.7760613241441727D+07 (age_target - star_age)/age_sigma 437 4.1715411669 remaining steps and years until age target 437 42 2.7115017584664345D+07 (age_target - star_age)/age_sigma 438 4.0722187581 reducing max timestep prior to age target 438 2.6469421927886009D+07 (age_target - star_age)/age_sigma 439 3.9728963494 reducing max timestep prior to age target 439 2.5823826271107674D+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 -15.954590 -99.000000 -6.897344 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt rel_E_err 1.7942429810758707D-13 log_rel_run_E_err -10.1273276732152944 (age_target - star_age)/age_sigma 440 3.8735739407 remaining steps and years until age target 440 39 2.5178230614330292D+07 (age_target - star_age)/age_sigma 441 3.7742515319 remaining steps and years until age target 441 38 2.4532634957552910D+07 (age_target - star_age)/age_sigma 442 3.6749291232 remaining steps and years until age target 442 37 2.3887039300775528D+07 (age_target - star_age)/age_sigma 443 3.5756067145 reducing max timestep prior to age target 443 2.3241443643997192D+07 (age_target - star_age)/age_sigma 444 3.4762843057 remaining steps and years until age target 444 35 2.2595847987219810D+07 (age_target - star_age)/age_sigma 445 3.3769618970 reducing max timestep prior to age target 445 2.1950252330441475D+07 (age_target - star_age)/age_sigma 446 3.2776394883 remaining steps and years until age target 446 33 2.1304656673664093D+07 (age_target - star_age)/age_sigma 447 3.1783170795 remaining steps and years until age target 447 32 2.0659061016886711D+07 (age_target - star_age)/age_sigma 448 3.0789946708 remaining steps and years until age target 448 31 2.0013465360109329D+07 (age_target - star_age)/age_sigma 449 2.9796722621 reducing max timestep prior to age target 449 1.9367869703330994D+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 -15.255620 -99.000000 -6.897492 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt rel_E_err 1.6612847387379796D-13 log_rel_run_E_err -10.1169226734317892 (age_target - star_age)/age_sigma 450 2.8803498533 remaining steps and years until age target 450 29 1.8722274046553612D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7810274446 reducing max timestep prior to age target 451 1.8076678389775276D+07 (age_target - star_age)/age_sigma 452 2.6817050358 remaining steps and years until age target 452 27 1.7431082732997894D+07 (age_target - star_age)/age_sigma 453 2.5823826271 remaining steps and years until age target 453 26 1.6785487076220512D+07 (age_target - star_age)/age_sigma 454 2.4830602184 remaining steps and years until age target 454 25 1.6139891419443130D+07 (age_target - star_age)/age_sigma 455 2.3837378096 reducing max timestep prior to age target 455 1.5494295762664795D+07 (age_target - star_age)/age_sigma 456 2.2844154009 remaining steps and years until age target 456 23 1.4848700105887413D+07 (age_target - star_age)/age_sigma 457 2.1850929922 reducing max timestep prior to age target 457 1.4203104449109077D+07 (age_target - star_age)/age_sigma 458 2.0857705834 remaining steps and years until age target 458 21 1.3557508792331696D+07 (age_target - star_age)/age_sigma 459 1.9864481747 remaining steps and years until age target 459 20 1.2911913135554314D+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 1.8755861455238499D-13 log_rel_run_E_err -10.1064440378757414 (age_target - star_age)/age_sigma 460 1.8871257660 remaining steps and years until age target 460 19 1.2266317478776932D+07 (age_target - star_age)/age_sigma 461 1.7878033572 reducing max timestep prior to age target 461 1.1620721821998596D+07 (age_target - star_age)/age_sigma 462 1.6884809485 remaining steps and years until age target 462 17 1.0975126165221214D+07 (age_target - star_age)/age_sigma 463 1.5891585398 reducing max timestep prior to age target 463 1.0329530508442879D+07 (age_target - star_age)/age_sigma 464 1.4898361310 remaining steps and years until age target 464 15 9.6839348516654968D+06 (age_target - star_age)/age_sigma 465 1.3905137223 remaining steps and years until age target 465 14 9.0383391948881149D+06 (age_target - star_age)/age_sigma 466 1.2911913136 remaining steps and years until age target 466 13 8.3927435381107330D+06 (age_target - star_age)/age_sigma 467 1.1918689048 reducing max timestep prior to age target 467 7.7471478813323975D+06 (age_target - star_age)/age_sigma 468 1.0925464961 remaining steps and years until age target 468 11 7.1015522245550156D+06 (age_target - star_age)/age_sigma 469 0.9932240874 reducing max timestep prior to age target 469 6.4559565677766800D+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 -99.000000 -99.000000 -6.897788 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt rel_E_err 1.6761864329421192D-13 log_rel_run_E_err -10.0964197358905761 (age_target - star_age)/age_sigma 470 0.8939016786 remaining steps and years until age target 470 9 5.8103609109992981D+06 (age_target - star_age)/age_sigma 471 0.7945792699 remaining steps and years until age target 471 8 5.1647652542219162D+06 (age_target - star_age)/age_sigma 472 0.6952568611 remaining steps and years until age target 472 7 4.5191695974445343D+06 (age_target - star_age)/age_sigma 473 0.5959344524 reducing max timestep prior to age target 473 3.8735739406661987D+06 (age_target - star_age)/age_sigma 474 0.4966120437 remaining steps and years until age target 474 5 3.2279782838888168D+06 (age_target - star_age)/age_sigma 475 0.3972896349 reducing max timestep prior to age target 475 2.5823826271104813D+06 (age_target - star_age)/age_sigma 476 0.2979672262 remaining steps and years until age target 476 3 1.9367869703330994D+06 (age_target - star_age)/age_sigma 477 0.1986448175 reducing max timestep prior to age target 477 1.2911913135547638D+06 (age_target - star_age)/age_sigma 478 0.0993224087 remaining steps and years until age target 478 1 6.4559565677833557D+05 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 2.56 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 1.8047440435335092D-13 log_rel_run_E_err -10.0878042534424157 Teff 5635.5878078367 radius 1.0099970103 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 99.9402149511 M_H 0.0294662156 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 868.2578594722 log_R 0.0043200882 delta_nu 139.4758215533 nu_max 3053.6692076812 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 333656.0660248077 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 "13a2611" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251021" "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 3.3351283960191300E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763063E+03 1.0231407131233186E+00 -1.7395981959431566E-03 9.9353665865348391E-03 1.3680762272707946E+02 2.9640776267836432E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191300E+05 0 0 0 0 0 0 0 3 3.3365606602480775E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367150E+03 1.0099970103006384E+00 2.9466215560743837E-02 4.3200882263484969E-03 1.3947582155334737E+02 3.0536692076812378E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602480775E+05 0 0 0 0 0 0 0 2 3.3468070564326044E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399268864E+03 1.0622782375813318E+00 -1.2788199777319889E-02 2.6238284372292867E-02 1.2938435093834747E+02 2.7294282123459179E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326044E+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 4784.847 -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 1.582129 -99.000000 -99.000000 -7.771016 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954490 4649.587 -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 1.531978 -99.000000 -99.000000 -7.748735 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954491 4585.439 -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 1.507638 -99.000000 -99.000000 -7.733582 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954491 4547.131 -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 1.492919 -28.296820 -99.000000 -7.723201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954491 4519.875 -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 1.482364 -99.000000 -99.000000 -7.715253 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 3.9251983428481979D-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 1.9793094835535432D-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 -23.480340 -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 -21.674160 -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 1.2918549785712361D-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 -20.470040 -99.000000 -6.915305 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6138257738139216D-13 log_rel_run_E_err -11.5716995299959056 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 -99.000000 -99.000000 -6.920651 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4749894183773700D-13 log_rel_run_E_err -11.2785979286936247 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 -20.771070 -99.000000 -6.921033 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5916119525113481D-13 log_rel_run_E_err -11.1059508338302777 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 -19.867980 -99.000000 -6.920788 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7785782174207862D-13 log_rel_run_E_err -10.9788984182047376 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 2.7471084853059223D-13 log_rel_run_E_err -10.8821446849379111 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 2.5397786350234274D-13 log_rel_run_E_err -10.8036710175419941 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 -99.000000 -99.000000 -6.920097 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5157081083145091D-13 log_rel_run_E_err -10.7367661160448478 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 2.4342242988643353D-13 log_rel_run_E_err -10.6791985630926600 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 -20.470040 -99.000000 -6.920028 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6098593587950553D-13 log_rel_run_E_err -10.6276985561422190 __________________________________________________________________________________________________________________________________________________ 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 -99.000000 -99.000000 -6.919664 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5640902926369844D-13 log_rel_run_E_err -10.5821348646421622 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 -99.000000 -99.000000 -6.917419 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4580944143281686D-13 log_rel_run_E_err -10.5414746266343275 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 2.5325685154197086D-13 log_rel_run_E_err -10.4859260444461437 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 -19.691888 -99.000000 -6.835102 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7124300479160564D-13 log_rel_run_E_err -10.4750714193541370 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 -99.000000 -99.000000 -6.673152 0.000000 0.003227 0.001952 0.018726 0.000E+00 varcontrol rel_E_err 2.5840987027790986D-13 log_rel_run_E_err -10.5586631017715380 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 1.9328650186919140D-13 log_rel_run_E_err -10.4325813294529883 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 -99.000000 -99.000000 -6.848893 0.000000 0.003208 0.001952 0.018730 0.000E+00 lgRho_cntr rel_E_err 1.7241087164847009D-13 log_rel_run_E_err -10.5012185787771646 (age_target - star_age)/age_sigma 168 694.7983444903 reducing max timestep prior to age target 168 4.5161892391872263D+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 -99.000000 -99.000000 -6.810200 0.000000 0.001147 0.001953 0.019079 0.000E+00 max increase rel_E_err 1.8585688938331643D-13 log_rel_run_E_err -10.5281206447746136 (age_target - star_age)/age_sigma 175 680.8615072492 reducing max timestep prior to age target 175 4.4255997971194792D+09 (age_target - star_age)/age_sigma 178 666.7877671749 reducing max timestep prior to age target 178 4.3341204866368752D+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 1.8228651293823382D-13 log_rel_run_E_err -10.5044867885017990 (age_target - star_age)/age_sigma 180 652.0892149040 reducing max timestep prior to age target 180 4.2385798968757024D+09 (age_target - star_age)/age_sigma 182 630.9232996338 reducing max timestep prior to age target 182 4.1010014476196146D+09 (age_target - star_age)/age_sigma 183 618.6043557761 reducing max timestep prior to age target 183 4.0209283125446348D+09 (age_target - star_age)/age_sigma 184 606.5317907956 reducing max timestep prior to age target 184 3.9424566401711550D+09 (age_target - star_age)/age_sigma 185 594.7006771146 reducing max timestep prior to age target 185 3.8655544012451444D+09 (age_target - star_age)/age_sigma 186 583.1061857073 reducing max timestep prior to age target 186 3.7901902070976543D+09 (age_target - star_age)/age_sigma 187 571.7435841282 reducing max timestep prior to age target 187 3.7163332968331137D+09 (age_target - star_age)/age_sigma 188 560.6082345806 reducing max timestep prior to age target 188 3.6439535247738643D+09 (age_target - star_age)/age_sigma 189 549.6955920240 reducing max timestep prior to age target 189 3.5730213481557994D+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 -99.000000 -99.000000 -6.836281 0.000000 0.000014 0.001966 0.019406 0.000E+00 max_dt rel_E_err 1.8533485287619931D-13 log_rel_run_E_err -10.4811872261601771 (age_target - star_age)/age_sigma 190 539.0012023185 reducing max timestep prior to age target 190 3.5035078150700965D+09 (age_target - star_age)/age_sigma 191 528.5207004071 reducing max timestep prior to age target 191 3.4353845526461072D+09 (age_target - star_age)/age_sigma 192 518.2498085339 reducing max timestep prior to age target 192 3.3686237554705977D+09 (age_target - star_age)/age_sigma 193 508.1843344982 reducing max timestep prior to age target 193 3.3031981742385988D+09 (age_target - star_age)/age_sigma 194 498.3201699433 reducing max timestep prior to age target 194 3.2390811046312394D+09 (age_target - star_age)/age_sigma 195 488.6532886794 reducing max timestep prior to age target 195 3.1762463764160271D+09 (age_target - star_age)/age_sigma 196 479.1797450408 reducing max timestep prior to age target 196 3.1146683427651196D+09 (age_target - star_age)/age_sigma 197 469.8956722750 reducing max timestep prior to age target 197 3.0543218697872300D+09 (age_target - star_age)/age_sigma 198 460.7972809644 reducing max timestep prior to age target 198 2.9951823262688980D+09 (age_target - star_age)/age_sigma 199 451.8808574801 reducing max timestep prior to age target 199 2.9372255736209326D+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 -15.653560 -99.000000 -6.849440 0.000000 0.000015 0.001975 0.019491 0.000E+00 max_dt rel_E_err 1.7715842678749401D-13 log_rel_run_E_err -10.4584083943639889 (age_target - star_age)/age_sigma 200 443.1427624655 reducing max timestep prior to age target 200 2.8804279560259266D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 434.5794293512 reducing max timestep prior to age target 201 2.8247662907828212D+09 (age_target - star_age)/age_sigma 202 426.1873628992 reducing max timestep prior to age target 202 2.7702178588445778D+09 (age_target - star_age)/age_sigma 203 417.9631377762 reducing max timestep prior to age target 203 2.7167603955450988D+09 (age_target - star_age)/age_sigma 204 409.9033971556 reducing max timestep prior to age target 204 2.6643720815116096D+09 (age_target - star_age)/age_sigma 205 402.0048513475 reducing max timestep prior to age target 205 2.6130315337587900D+09 (age_target - star_age)/age_sigma 206 394.2642764555 reducing max timestep prior to age target 206 2.5627177969610271D+09 (age_target - star_age)/age_sigma 207 386.6785130614 reducing max timestep prior to age target 207 2.5134103348992195D+09 (age_target - star_age)/age_sigma 209 371.8104168089 reducing max timestep prior to age target 209 2.4167677092580757D+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 -15.653560 -99.000000 -6.860640 0.000000 0.000016 0.001982 0.019557 0.000E+00 max_dt rel_E_err 1.8721788001177949D-13 log_rel_run_E_err -10.4360658094905006 (age_target - star_age)/age_sigma 210 364.5250496452 reducing max timestep prior to age target 210 2.3694128226939158D+09 (age_target - star_age)/age_sigma 211 357.3853898248 reducing max timestep prior to age target 211 2.3230050338610387D+09 (age_target - star_age)/age_sigma 212 350.3885232007 reducing max timestep prior to age target 212 2.2775254008048191D+09 (age_target - star_age)/age_sigma 213 343.5315939092 reducing max timestep prior to age target 213 2.2329553604097238D+09 (age_target - star_age)/age_sigma 214 336.8118032035 reducing max timestep prior to age target 214 2.1892767208225312D+09 (age_target - star_age)/age_sigma 215 330.2264083119 reducing max timestep prior to age target 215 2.1464716540270820D+09 (age_target - star_age)/age_sigma 216 323.7727213181 reducing max timestep prior to age target 216 2.1045226885675416D+09 (age_target - star_age)/age_sigma 217 317.4481080642 reducing max timestep prior to age target 217 2.0634127024171920D+09 (age_target - star_age)/age_sigma 218 311.2499870754 reducing max timestep prior to age target 218 2.0231249159898496D+09 (age_target - star_age)/age_sigma 219 305.1758285063 reducing max timestep prior to age target 219 1.9836428852910538D+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 1.8935461603750318D-13 log_rel_run_E_err -10.4153573945977236 (age_target - star_age)/age_sigma 220 299.2231531087 reducing max timestep prior to age target 220 1.9449504952062340D+09 (age_target - star_age)/age_sigma 221 293.3895312189 reducing max timestep prior to age target 221 1.9070319529231110D+09 (age_target - star_age)/age_sigma 222 287.6725817670 reducing max timestep prior to age target 222 1.8698717814856501D+09 (age_target - star_age)/age_sigma 223 282.0699713041 reducing max timestep prior to age target 223 1.8334548134769387D+09 (age_target - star_age)/age_sigma 224 276.5794130505 reducing max timestep prior to age target 224 1.7977661848284011D+09 (age_target - star_age)/age_sigma 225 271.1986659620 reducing max timestep prior to age target 225 1.7627913287528343D+09 (age_target - star_age)/age_sigma 226 265.9255338152 reducing max timestep prior to age target 226 1.7285159697987790D+09 (age_target - star_age)/age_sigma 227 260.7578643114 reducing max timestep prior to age target 227 1.6949261180238051D+09 (age_target - star_age)/age_sigma 228 255.6935481976 reducing max timestep prior to age target 228 1.6620080632843304D+09 (age_target - star_age)/age_sigma 229 250.7305184061 reducing max timestep prior to age target 229 1.6297483696396451D+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 1.7590369101854155D-13 log_rel_run_E_err -10.3962753966859616 (age_target - star_age)/age_sigma 230 245.8667492104 reducing max timestep prior to age target 230 1.5981338698678536D+09 (age_target - star_age)/age_sigma 231 241.1002553987 reducing max timestep prior to age target 231 1.5671516600914979D+09 (age_target - star_age)/age_sigma 232 236.4290914632 reducing max timestep prior to age target 232 1.5367890945106697D+09 (age_target - star_age)/age_sigma 233 231.8513508064 reducing max timestep prior to age target 233 1.5070337802414575D+09 (age_target - star_age)/age_sigma 234 227.3651649627 reducing max timestep prior to age target 234 1.4778735722576299D+09 (age_target - star_age)/age_sigma 235 222.9687028359 reducing max timestep prior to age target 235 1.4492965684334784D+09 (age_target - star_age)/age_sigma 236 218.6601699517 reducing max timestep prior to age target 236 1.4212911046858106D+09 (age_target - star_age)/age_sigma 237 214.4378077251 reducing max timestep prior to age target 237 1.3938457502130957D+09 (age_target - star_age)/age_sigma 238 210.2998927431 reducing max timestep prior to age target 238 1.3669493028298349D+09 (age_target - star_age)/age_sigma 239 206.2447360607 reducing max timestep prior to age target 239 1.3405907843942399D+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 1.6834650137812295D-13 log_rel_run_E_err -10.3777302746182443 (age_target - star_age)/age_sigma 240 202.2706825119 reducing max timestep prior to age target 240 1.3147594363273563D+09 (age_target - star_age)/age_sigma 241 198.3761100341 reducing max timestep prior to age target 241 1.2894447152218103D+09 (age_target - star_age)/age_sigma 242 194.5594290059 reducing max timestep prior to age target 242 1.2646362885383754D+09 (age_target - star_age)/age_sigma 244 187.0787341906 reducing max timestep prior to age target 244 1.2160117722388434D+09 (age_target - star_age)/age_sigma 245 183.4131937311 reducing max timestep prior to age target 245 1.1921857592520728D+09 (age_target - star_age)/age_sigma 246 179.8209640808 reducing max timestep prior to age target 246 1.1688362665250378D+09 (age_target - star_age)/age_sigma 247 176.3005790235 reducing max timestep prior to age target 247 1.1459537636525431D+09 (age_target - star_age)/age_sigma 248 172.8506016673 reducing max timestep prior to age target 248 1.1235289108374977D+09 (age_target - star_age)/age_sigma 249 169.4696238583 reducing max timestep prior to age target 249 1.1015525550787539D+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 -15.352530 -99.000000 -6.890854 0.000000 0.000018 0.001999 0.019706 0.000E+00 max_dt rel_E_err 1.7305025729458184D-13 log_rel_run_E_err -10.3597444617780390 (age_target - star_age)/age_sigma 250 166.1562656054 reducing max timestep prior to age target 250 1.0800157264351850D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 162.9091745176 reducing max timestep prior to age target 251 1.0589096343644876D+09 (age_target - star_age)/age_sigma 252 159.7270252516 reducing max timestep prior to age target 252 1.0382256641352038D+09 (age_target - star_age)/age_sigma 253 156.6085189708 reducing max timestep prior to age target 253 1.0179553733105059D+09 (age_target - star_age)/age_sigma 254 153.5523828157 reducing max timestep prior to age target 254 9.9809048830230188D+08 (age_target - star_age)/age_sigma 255 150.5573693837 reducing max timestep prior to age target 255 9.7862290099426174D+08 (age_target - star_age)/age_sigma 256 147.6222562204 reducing max timestep prior to age target 256 9.5954466543238258D+08 (age_target - star_age)/age_sigma 257 144.7458453203 reducing max timestep prior to age target 257 9.4084799458174086D+08 (age_target - star_age)/age_sigma 258 141.9269626382 reducing max timestep prior to age target 258 9.2252525714811230D+08 (age_target - star_age)/age_sigma 259 139.1644576097 reducing max timestep prior to age target 259 9.0456897446315622D+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 1.8782476728289257D-13 log_rel_run_E_err -10.3426242422160772 (age_target - star_age)/age_sigma 260 136.4572026818 reducing max timestep prior to age target 260 8.8697181743189907D+08 (age_target - star_age)/age_sigma 261 133.8040928525 reducing max timestep prior to age target 261 8.6972660354126692D+08 (age_target - star_age)/age_sigma 262 131.2040452198 reducing max timestep prior to age target 262 8.5282629392844772D+08 (age_target - star_age)/age_sigma 263 128.6559985397 reducing max timestep prior to age target 263 8.3626399050788498D+08 (age_target - star_age)/age_sigma 264 126.1589127932 reducing max timestep prior to age target 264 8.2003293315573359D+08 (age_target - star_age)/age_sigma 265 123.7117687616 reducing max timestep prior to age target 265 8.0412649695062494D+08 (age_target - star_age)/age_sigma 266 121.3135676107 reducing max timestep prior to age target 266 7.8853818946961832D+08 (age_target - star_age)/age_sigma 267 118.9633304828 reducing max timestep prior to age target 267 7.7326164813823223D+08 (age_target - star_age)/age_sigma 268 116.6600980975 reducing max timestep prior to age target 268 7.5829063763347340D+08 (age_target - star_age)/age_sigma 269 114.4029303598 reducing max timestep prior to age target 269 7.4361904733880997D+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 9 3.8403E+09 2.124300 -0.032265 -99.000000 -99.000000 -6.899559 0.000000 0.000018 0.002003 0.019741 0.000E+00 max_dt rel_E_err 1.8467807896944905D-13 log_rel_run_E_err -10.3260910845787404 (age_target - star_age)/age_sigma 270 112.1909059769 reducing max timestep prior to age target 270 7.2924088885003996D+08 (age_target - star_age)/age_sigma 271 110.0231220817 reducing max timestep prior to age target 271 7.1515029353104544D+08 (age_target - star_age)/age_sigma 272 107.8986938644 reducing max timestep prior to age target 272 7.0134151011843014D+08 (age_target - star_age)/age_sigma 273 105.8167542114 reducing max timestep prior to age target 273 6.8780890237406778D+08 (age_target - star_age)/age_sigma 274 103.7764533515 reducing max timestep prior to age target 274 6.7454694678459263D+08 (age_target - star_age)/age_sigma 275 101.7769585088 reducing max timestep prior to age target 275 6.6155023030690670D+08 (age_target - star_age)/age_sigma 276 99.8174535629 reducing max timestep prior to age target 276 6.4881344815877438D+08 (age_target - star_age)/age_sigma 277 97.8971387159 reducing max timestep prior to age target 277 6.3633140165360498D+08 (age_target - star_age)/age_sigma 279 94.1333216159 reducing max timestep prior to age target 279 6.1186659050347233D+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 10 3.9696E+09 2.133226 -0.027851 -99.000000 -99.000000 -6.902800 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.7601868829696367D-13 log_rel_run_E_err -10.3100675373967459 (age_target - star_age)/age_sigma 280 92.2890512369 reducing max timestep prior to age target 280 5.9987883303990793D+08 (age_target - star_age)/age_sigma 281 90.4816662655 reducing max timestep prior to age target 281 5.8813083072561407D+08 (age_target - star_age)/age_sigma 282 88.7104289935 reducing max timestep prior to age target 282 5.7661778845760632D+08 (age_target - star_age)/age_sigma 283 86.9746164669 reducing max timestep prior to age target 283 5.6533500703495884D+08 (age_target - star_age)/age_sigma 284 85.2735201909 reducing max timestep prior to age target 284 5.5427788124076462D+08 (age_target - star_age)/age_sigma 285 83.6064458404 reducing max timestep prior to age target 285 5.4344189796245384D+08 (age_target - star_age)/age_sigma 286 81.9727129769 reducing max timestep prior to age target 286 5.3282263434970951D+08 (age_target - star_age)/age_sigma 287 80.3716547706 reducing max timestep prior to age target 287 5.2241575600922060D+08 (age_target - star_age)/age_sigma 288 78.8026177285 reducing max timestep prior to age target 288 5.1221701523554087D+08 (age_target - star_age)/age_sigma 289 77.2649614273 reducing max timestep prior to age target 289 5.0222224927733469D+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 -15.255620 -99.000000 -6.905509 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.8039884032476285D-13 log_rel_run_E_err -10.2950348199618951 (age_target - star_age)/age_sigma 290 75.7580582520 reducing max timestep prior to age target 290 4.9242737863829279D+08 (age_target - star_age)/age_sigma 291 74.2812931403 reducing max timestep prior to age target 291 4.8282840541203165D+08 (age_target - star_age)/age_sigma 292 72.8340633308 reducing max timestep prior to age target 292 4.7342141165029573D+08 (age_target - star_age)/age_sigma 293 71.4157781175 reducing max timestep prior to age target 293 4.6420255776379442D+08 (age_target - star_age)/age_sigma 294 70.0258586085 reducing max timestep prior to age target 294 4.5516808095502329D+08 (age_target - star_age)/age_sigma 295 68.6637374896 reducing max timestep prior to age target 295 4.4631429368242741D+08 (age_target - star_age)/age_sigma 296 67.3288587931 reducing max timestep prior to age target 296 4.3763758215528393D+08 (age_target - star_age)/age_sigma 297 66.0206776706 reducing max timestep prior to age target 297 4.2913440485868263D+08 (age_target - star_age)/age_sigma 298 64.7386601705 reducing max timestep prior to age target 298 4.2080129110801363D+08 (age_target - star_age)/age_sigma 299 63.4822830204 reducing max timestep prior to age target 299 4.1263483963235855D+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 1.8031821281036048D-13 log_rel_run_E_err -10.2803449086442633 (age_target - star_age)/age_sigma 300 62.2510334133 reducing max timestep prior to age target 300 4.0463171718621588D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.0444087983 reducing max timestep prior to age target 301 3.9678865718899632D+08 (age_target - star_age)/age_sigma 302 59.8619166756 reducing max timestep prior to age target 302 3.8910245839172125D+08 (age_target - star_age)/age_sigma 303 58.7030743954 reducing max timestep prior to age target 303 3.8156998357039118D+08 (age_target - star_age)/age_sigma 304 57.5674089608 reducing max timestep prior to age target 304 3.7418815824548769D+08 (age_target - star_age)/age_sigma 305 56.4544568349 reducing max timestep prior to age target 305 3.6695396942708302D+08 (age_target - star_age)/age_sigma 306 55.3637637515 reducing max timestep prior to age target 306 3.5986446438504553D+08 (age_target - star_age)/age_sigma 307 54.2948845298 reducing max timestep prior to age target 307 3.5291674944384956D+08 (age_target - star_age)/age_sigma 308 53.2473828925 reducing max timestep prior to age target 308 3.4610798880147743D+08 (age_target - star_age)/age_sigma 309 52.2208312880 reducing max timestep prior to age target 309 3.3943540337195253D+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 -15.653560 -99.000000 -6.909552 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.8280996872096589D-13 log_rel_run_E_err -10.2662080897984307 (age_target - star_age)/age_sigma 310 51.2148107155 reducing max timestep prior to age target 310 3.3289626965101814D+08 (age_target - star_age)/age_sigma 311 50.2289105545 reducing max timestep prior to age target 311 3.2648791860450268D+08 (age_target - star_age)/age_sigma 312 49.2627283968 reducing max timestep prior to age target 312 3.2020773457891750D+08 (age_target - star_age)/age_sigma 314 47.3690113675 reducing max timestep prior to age target 314 3.0789857388877010D+08 (age_target - star_age)/age_sigma 315 46.4410900232 reducing max timestep prior to age target 315 3.0186708515059805D+08 (age_target - star_age)/age_sigma 316 45.5317271057 reducing max timestep prior to age target 316 2.9595622618718958D+08 (age_target - star_age)/age_sigma 317 44.6405514466 reducing max timestep prior to age target 317 2.9016358440304852D+08 (age_target - star_age)/age_sigma 318 43.7671993007 reducing max timestep prior to age target 318 2.8448679545459080D+08 (age_target - star_age)/age_sigma 319 42.9113141977 reducing max timestep prior to age target 319 2.7892354228510189D+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 -99.000000 -99.000000 -6.911063 0.000000 0.000020 0.002009 0.019778 0.000E+00 max_dt rel_E_err 1.6720679317265413D-13 log_rel_run_E_err -10.2522668578905218 (age_target - star_age)/age_sigma 320 42.0725467968 reducing max timestep prior to age target 320 2.7347155417900276D+08 (age_target - star_age)/age_sigma 321 41.2505547439 reducing max timestep prior to age target 321 2.6812860583502579D+08 (age_target - star_age)/age_sigma 322 40.4450025320 reducing max timestep prior to age target 322 2.6289251645792866D+08 (age_target - star_age)/age_sigma 323 39.6555613644 reducing max timestep prior to age target 323 2.5776114886837387D+08 (age_target - star_age)/age_sigma 324 38.8819090201 reducing max timestep prior to age target 324 2.5273240863060951D+08 (age_target - star_age)/age_sigma 325 38.1237297227 reducing max timestep prior to age target 325 2.4780424319760036D+08 (age_target - star_age)/age_sigma 326 37.3807140113 reducing max timestep prior to age target 326 2.4297464107325268D+08 (age_target - star_age)/age_sigma 327 36.6525586141 reducing max timestep prior to age target 327 2.3824163099139023D+08 (age_target - star_age)/age_sigma 328 35.9389663248 reducing max timestep prior to age target 328 2.3360328111116600D+08 (age_target - star_age)/age_sigma 329 35.2396458813 reducing max timestep prior to age target 329 2.2905769822854519D+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 -99.000000 -99.000000 -6.912310 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.7461978921490868D-13 log_rel_run_E_err -10.2387210548553096 (age_target - star_age)/age_sigma 330 34.5543118467 reducing max timestep prior to age target 330 2.2460302700357819D+08 (age_target - star_age)/age_sigma 331 33.8826844928 reducing max timestep prior to age target 331 2.2023744920310974D+08 (age_target - star_age)/age_sigma 332 33.2244896859 reducing max timestep prior to age target 332 2.1595918295865059D+08 (age_target - star_age)/age_sigma 333 32.5794587752 reducing max timestep prior to age target 333 2.1176648203908062D+08 (age_target - star_age)/age_sigma 334 31.9473284828 reducing max timestep prior to age target 334 2.0765763513790226D+08 (age_target - star_age)/age_sigma 335 31.3278407961 reducing max timestep prior to age target 335 2.0363096517474747D+08 (age_target - star_age)/age_sigma 336 30.7207428632 reducing max timestep prior to age target 336 1.9968482861085606D+08 (age_target - star_age)/age_sigma 337 30.1257868890 reducing max timestep prior to age target 337 1.9581761477824211D+08 (age_target - star_age)/age_sigma 338 29.5427300342 reducing max timestep prior to age target 338 1.9202774522228050D+08 (age_target - star_age)/age_sigma 339 28.9713343165 reducing max timestep prior to age target 339 1.8831367305743790D+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 -15.477469 -99.000000 -6.913337 0.000000 0.000020 0.002010 0.019784 0.000E+00 max_dt rel_E_err 1.8012120045640587D-13 log_rel_run_E_err -10.2257038856278086 (age_target - star_age)/age_sigma 340 28.4113665132 reducing max timestep prior to age target 340 1.8467388233589268D+08 (age_target - star_age)/age_sigma 341 27.8625980660 reducing max timestep prior to age target 341 1.8110688742877865D+08 (age_target - star_age)/age_sigma 342 27.3248049877 reducing max timestep prior to age target 342 1.7761123241980553D+08 (age_target - star_age)/age_sigma 343 26.7977677709 reducing max timestep prior to age target 343 1.7418549051101303D+08 (age_target - star_age)/age_sigma 344 26.2812712985 reducing max timestep prior to age target 344 1.7082826344039631D+08 (age_target - star_age)/age_sigma 345 25.7751047556 reducing max timestep prior to age target 345 1.6753818091119099D+08 (age_target - star_age)/age_sigma 346 25.2790615435 reducing max timestep prior to age target 346 1.6431390003257084D+08 (age_target - star_age)/age_sigma 348 24.3068168478 reducing max timestep prior to age target 348 1.5799430951047516D+08 (age_target - star_age)/age_sigma 349 23.8304169469 reducing max timestep prior to age target 349 1.5489771015464783D+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 -99.000000 -99.000000 -6.914182 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.8924601936428667D-13 log_rel_run_E_err -10.2127981767437035 (age_target - star_age)/age_sigma 350 23.3635450440 reducing max timestep prior to age target 350 1.5186304278593731D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9060105792 reducing max timestep prior to age target 351 1.4888906876460075D+08 (age_target - star_age)/age_sigma 352 22.4576268036 reducing max timestep prior to age target 352 1.4597457422369099D+08 (age_target - star_age)/age_sigma 353 22.0182107036 reducing max timestep prior to age target 353 1.4311836957359982D+08 (age_target - star_age)/age_sigma 354 21.5875829256 reducing max timestep prior to age target 354 1.4031928901651001D+08 (age_target - star_age)/age_sigma 355 21.1655677032 reducing max timestep prior to age target 355 1.3757619007056236D+08 (age_target - star_age)/age_sigma 356 20.7519927852 reducing max timestep prior to age target 356 1.3488795310353279D+08 (age_target - star_age)/age_sigma 357 20.3466893655 reducing max timestep prior to age target 357 1.3225348087584496D+08 (age_target - star_age)/age_sigma 358 19.9494920143 reducing max timestep prior to age target 358 1.2967169809270954D+08 (age_target - star_age)/age_sigma 359 19.5602386100 reducing max timestep prior to age target 359 1.2714155096523762D+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 1.7325753943865039D-13 log_rel_run_E_err -10.2002009774782980 (age_target - star_age)/age_sigma 360 19.1787702739 reducing max timestep prior to age target 360 1.2466200678031540D+08 (age_target - star_age)/age_sigma 361 18.8049313045 reducing max timestep prior to age target 361 1.2223205347909164D+08 (age_target - star_age)/age_sigma 362 18.4385691144 reducing max timestep prior to age target 362 1.1985069924389172D+08 (age_target - star_age)/age_sigma 363 18.0795341682 reducing max timestep prior to age target 363 1.1751697209339619D+08 (age_target - star_age)/age_sigma 364 17.7276799209 reducing max timestep prior to age target 364 1.1522991948591042D+08 (age_target - star_age)/age_sigma 365 17.3828627585 reducing max timestep prior to age target 365 1.1298860793057442D+08 (age_target - star_age)/age_sigma 366 17.0449419394 reducing max timestep prior to age target 366 1.1079212260634613D+08 (age_target - star_age)/age_sigma 367 16.7137795367 reducing max timestep prior to age target 367 1.0863956698860073D+08 (age_target - star_age)/age_sigma 368 16.3892403820 reducing max timestep prior to age target 368 1.0653006248321152D+08 (age_target - star_age)/age_sigma 369 16.0711920105 reducing max timestep prior to age target 369 1.0446274806792927D+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 1.7770828226766919D-13 log_rel_run_E_err -10.1881323651041562 (age_target - star_age)/age_sigma 370 15.7595046063 reducing max timestep prior to age target 370 1.0243677994095325D+08 (age_target - star_age)/age_sigma 371 15.4540509502 reducing max timestep prior to age target 371 1.0045133117651653D+08 (age_target - star_age)/age_sigma 372 15.1547063673 reducing max timestep prior to age target 372 9.8505591387368202D+07 (age_target - star_age)/age_sigma 373 14.8613486760 reducing max timestep prior to age target 373 9.6598766394002914D+07 (age_target - star_age)/age_sigma 374 14.5738581385 reducing max timestep prior to age target 374 9.4730077900505066D+07 (age_target - star_age)/age_sigma 375 14.2921174118 reducing max timestep prior to age target 375 9.2898763176877975D+07 (age_target - star_age)/age_sigma 376 14.0160114996 reducing max timestep prior to age target 376 9.1104074747722626D+07 (age_target - star_age)/age_sigma 377 13.7454277057 reducing max timestep prior to age target 377 8.9345280087150574D+07 (age_target - star_age)/age_sigma 378 13.4802555877 reducing max timestep prior to age target 378 8.7621661319789886D+07 (age_target - star_age)/age_sigma 379 13.2203869120 reducing max timestep prior to age target 379 8.5932514927776337D+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 -15.954590 -99.000000 -6.915925 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.7492631350007417D-13 log_rel_run_E_err -10.1761786278234823 (age_target - star_age)/age_sigma 380 12.9657156098 reducing max timestep prior to age target 380 8.4277151463603020D+07 (age_target - star_age)/age_sigma 381 12.7161377336 reducing max timestep prior to age target 381 8.2654895268712997D+07 (age_target - star_age)/age_sigma 382 12.4715514150 reducing max timestep prior to age target 382 8.1065084197721481D+07 (age_target - star_age)/age_sigma 384 11.9921622306 reducing max timestep prior to age target 384 7.7949054498577118D+07 (age_target - star_age)/age_sigma 385 11.7572615302 reducing max timestep prior to age target 385 7.6422199945996284D+07 (age_target - star_age)/age_sigma 386 11.5270588438 reducing max timestep prior to age target 386 7.4925882484466553D+07 (age_target - star_age)/age_sigma 387 11.3014602111 reducing max timestep prior to age target 387 7.3459491372168541D+07 (age_target - star_age)/age_sigma 388 11.0803735511 reducing max timestep prior to age target 388 7.2022428082116127D+07 (age_target - star_age)/age_sigma 389 10.8637086243 reducing max timestep prior to age target 389 7.0614106057864189D+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 1.7512651459761064D-13 log_rel_run_E_err -10.1645823577246315 (age_target - star_age)/age_sigma 390 10.6513769960 reducing max timestep prior to age target 390 6.9233950474098206D+07 (age_target - star_age)/age_sigma 391 10.4432920003 reducing max timestep prior to age target 391 6.7881398002006531D+07 (age_target - star_age)/age_sigma 392 10.2393687045 reducing max timestep prior to age target 392 6.6555896579357147D+07 (age_target - star_age)/age_sigma 393 10.0395238746 reducing max timestep prior to age target 393 6.5256905185161591D+07 (age_target - star_age)/age_sigma 394 9.8436759414 reducing max timestep prior to age target 394 6.3983893618848801D+07 (age_target - star_age)/age_sigma 395 9.6517449667 reducing max timestep prior to age target 395 6.2736342283863068D+07 (age_target - star_age)/age_sigma 396 9.4636526116 reducing max timestep prior to age target 396 6.1513741975576401D+07 (age_target - star_age)/age_sigma 397 9.2793221036 reducing max timestep prior to age target 397 6.0315593673455238D+07 (age_target - star_age)/age_sigma 398 9.0986782058 reducing max timestep prior to age target 398 5.9141408337377548D+07 (age_target - star_age)/age_sigma 399 8.9216471858 reducing max timestep prior to age target 399 5.7990706708020210D+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 3 4.5126E+09 2.172335 -0.008932 -15.255620 -99.000000 -6.916633 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7596729276666475D-13 log_rel_run_E_err -10.1536691916254842 (age_target - star_age)/age_sigma 400 8.7481567863 reducing max timestep prior to age target 400 5.6863019111250877D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.5781361948 reducing max timestep prior to age target 401 5.5757885266416550D+07 (age_target - star_age)/age_sigma 402 8.4115160152 reducing max timestep prior to age target 402 5.4674854098479271D+07 (age_target - star_age)/age_sigma 403 8.2482282391 reducing max timestep prior to age target 403 5.3613483553899765D+07 (age_target - star_age)/age_sigma 404 8.0882062185 reducing max timestep prior to age target 404 5.2573340420212746D+07 (age_target - star_age)/age_sigma 405 7.9313846383 reducing max timestep prior to age target 405 5.1554000149199486D+07 (age_target - star_age)/age_sigma 406 7.7776994898 reducing max timestep prior to age target 406 5.0555046683606148D+07 (age_target - star_age)/age_sigma 407 7.6270880442 reducing max timestep prior to age target 407 4.9576072287324905D+07 (age_target - star_age)/age_sigma 408 7.4794888275 reducing max timestep prior to age target 408 4.8616677378970146D+07 (age_target - star_age)/age_sigma 409 7.3348415952 reducing max timestep prior to age target 409 4.7676470368781090D+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 -99.000000 -99.000000 -6.916895 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7170347791136945D-13 log_rel_run_E_err -10.1430444550222187 (age_target - star_age)/age_sigma 410 7.1930873075 reducing max timestep prior to age target 410 4.6755067498796463D+07 (age_target - star_age)/age_sigma 411 7.0541681056 reducing max timestep prior to age target 411 4.5852092686211586D+07 (age_target - star_age)/age_sigma 412 6.9180272877 reducing max timestep prior to age target 412 4.4967177369878769D+07 (age_target - star_age)/age_sigma 413 6.7846092861 reducing max timestep prior to age target 413 4.4099960359871864D+07 (age_target - star_age)/age_sigma 414 6.6538596446 reducing max timestep prior to age target 414 4.3250087690065384D+07 (age_target - star_age)/age_sigma 415 6.5257249959 reducing max timestep prior to age target 415 4.2417212473654747D+07 (age_target - star_age)/age_sigma 416 6.4001530402 reducing max timestep prior to age target 416 4.1600994761572838D+07 (age_target - star_age)/age_sigma 418 6.1540320071 reducing max timestep prior to age target 418 4.0001208045891762D+07 (age_target - star_age)/age_sigma 419 6.0334327008 reducing max timestep prior to age target 419 3.9217312555208206D+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 -15.954590 -99.000000 -6.917109 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.7871776158154411D-13 log_rel_run_E_err -10.1324274451859111 (age_target - star_age)/age_sigma 420 5.9152453807 reducing max timestep prior to age target 420 3.8449094974337578D+07 (age_target - star_age)/age_sigma 421 5.7994218069 reducing max timestep prior to age target 421 3.7696241745084763D+07 (age_target - star_age)/age_sigma 422 5.6859147047 reducing max timestep prior to age target 422 3.6958445580417633D+07 (age_target - star_age)/age_sigma 423 5.5746777445 reducing max timestep prior to age target 423 3.6235405339042664D+07 (age_target - star_age)/age_sigma 424 5.4656655235 reducing max timestep prior to age target 424 3.5526825902496338D+07 (age_target - star_age)/age_sigma 425 5.3588335469 reducing max timestep prior to age target 425 3.4832418054679871D+07 (age_target - star_age)/age_sigma 426 5.2541382098 reducing max timestep prior to age target 426 3.4151898363820076D+07 (age_target - star_age)/age_sigma 427 5.1515367795 reducing max timestep prior to age target 427 3.3484989066777229D+07 (age_target - star_age)/age_sigma 428 5.0509873778 reducing max timestep prior to age target 428 3.2831417955676079D+07 (age_target - star_age)/age_sigma 429 4.9519484096 remaining steps and years until age target 429 50 3.2187664662427902D+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 1.7679714178885628D-13 log_rel_run_E_err -10.1220837282995788 (age_target - star_age)/age_sigma 430 4.8529094414 reducing max timestep prior to age target 430 3.1543911369178772D+07 (age_target - star_age)/age_sigma 431 4.7538704732 remaining steps and years until age target 431 48 3.0900158075930595D+07 (age_target - star_age)/age_sigma 432 4.6548315050 reducing max timestep prior to age target 432 3.0256404782681465D+07 (age_target - star_age)/age_sigma 433 4.5557925368 remaining steps and years until age target 433 46 2.9612651489433289D+07 (age_target - star_age)/age_sigma 434 4.4567535686 reducing max timestep prior to age target 434 2.8968898196184158D+07 (age_target - star_age)/age_sigma 435 4.3577146005 remaining steps and years until age target 435 44 2.8325144902935982D+07 (age_target - star_age)/age_sigma 436 4.2586756323 reducing max timestep prior to age target 436 2.7681391609686852D+07 (age_target - star_age)/age_sigma 437 4.1596366641 remaining steps and years until age target 437 42 2.7037638316438675D+07 (age_target - star_age)/age_sigma 438 4.0605976959 reducing max timestep prior to age target 438 2.6393885023189545D+07 (age_target - star_age)/age_sigma 439 3.9615587277 remaining steps and years until age target 439 40 2.5750131729941368D+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 -99.000000 -99.000000 -6.917454 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8466334851551249D-13 log_rel_run_E_err -10.1121740729911469 (age_target - star_age)/age_sigma 440 3.8625197595 reducing max timestep prior to age target 440 2.5106378436692238D+07 (age_target - star_age)/age_sigma 441 3.7634807913 remaining steps and years until age target 441 38 2.4462625143444061D+07 (age_target - star_age)/age_sigma 442 3.6644418231 reducing max timestep prior to age target 442 2.3818871850194931D+07 (age_target - star_age)/age_sigma 443 3.5654028549 remaining steps and years until age target 443 36 2.3175118556946754D+07 (age_target - star_age)/age_sigma 444 3.4663638867 reducing max timestep prior to age target 444 2.2531365263697624D+07 (age_target - star_age)/age_sigma 445 3.3673249185 reducing max timestep prior to age target 445 2.1887611970448494D+07 (age_target - star_age)/age_sigma 446 3.2682859503 remaining steps and years until age target 446 33 2.1243858677200317D+07 (age_target - star_age)/age_sigma 447 3.1692469821 reducing max timestep prior to age target 447 2.0600105383951187D+07 (age_target - star_age)/age_sigma 448 3.0702080140 remaining steps and years until age target 448 31 1.9956352090703011D+07 (age_target - star_age)/age_sigma 449 2.9711690458 reducing max timestep prior to age target 449 1.9312598797453880D+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 1.8338129335990622D-13 log_rel_run_E_err -10.1022170898057464 (age_target - star_age)/age_sigma 450 2.8721300776 remaining steps and years until age target 450 29 1.8668845504205704D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7730911094 reducing max timestep prior to age target 451 1.8025092210956573D+07 (age_target - star_age)/age_sigma 452 2.6740521412 remaining steps and years until age target 452 27 1.7381338917708397D+07 (age_target - star_age)/age_sigma 453 2.5750131730 reducing max timestep prior to age target 453 1.6737585624459267D+07 (age_target - star_age)/age_sigma 454 2.4759742048 remaining steps and years until age target 454 25 1.6093832331211090D+07 (age_target - star_age)/age_sigma 455 2.3769352366 reducing max timestep prior to age target 455 1.5450079037961960D+07 (age_target - star_age)/age_sigma 456 2.2778962684 remaining steps and years until age target 456 23 1.4806325744713783D+07 (age_target - star_age)/age_sigma 457 2.1788573002 reducing max timestep prior to age target 457 1.4162572451464653D+07 (age_target - star_age)/age_sigma 458 2.0798183320 remaining steps and years until age target 458 21 1.3518819158216476D+07 (age_target - star_age)/age_sigma 459 1.9807793638 remaining steps and years until age target 459 20 1.2875065864968300D+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 -99.000000 -99.000000 -6.917787 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.6933535283509940D-13 log_rel_run_E_err -10.0926359135449815 (age_target - star_age)/age_sigma 460 1.8817403956 remaining steps and years until age target 460 19 1.2231312571720123D+07 (age_target - star_age)/age_sigma 461 1.7827014275 reducing max timestep prior to age target 461 1.1587559278470993D+07 (age_target - star_age)/age_sigma 462 1.6836624593 remaining steps and years until age target 462 17 1.0943805985222816D+07 (age_target - star_age)/age_sigma 463 1.5846234911 remaining steps and years until age target 463 16 1.0300052691974640D+07 (age_target - star_age)/age_sigma 464 1.4855845229 remaining steps and years until age target 464 15 9.6562993987264633D+06 (age_target - star_age)/age_sigma 465 1.3865455547 reducing max timestep prior to age target 465 9.0125461054773331D+06 (age_target - star_age)/age_sigma 466 1.2875065865 remaining steps and years until age target 466 13 8.3687928122291565D+06 (age_target - star_age)/age_sigma 467 1.1884676183 remaining steps and years until age target 467 12 7.7250395189809799D+06 (age_target - star_age)/age_sigma 468 1.0894286501 remaining steps and years until age target 468 11 7.0812862257328033D+06 (age_target - star_age)/age_sigma 469 0.9903896819 reducing max timestep prior to age target 469 6.4375329324836731D+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 -99.000000 -99.000000 -6.917953 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.7890290318291149D-13 log_rel_run_E_err -10.0832665785029860 (age_target - star_age)/age_sigma 470 0.8913507137 remaining steps and years until age target 470 9 5.7937796392354965D+06 (age_target - star_age)/age_sigma 471 0.7923117455 remaining steps and years until age target 471 8 5.1500263459873199D+06 (age_target - star_age)/age_sigma 472 0.6932727773 remaining steps and years until age target 472 7 4.5062730527391434D+06 (age_target - star_age)/age_sigma 473 0.5942338092 reducing max timestep prior to age target 473 3.8625197594900131D+06 (age_target - star_age)/age_sigma 474 0.4951948410 remaining steps and years until age target 474 5 3.2187664662418365D+06 (age_target - star_age)/age_sigma 475 0.3961558728 remaining steps and years until age target 475 4 2.5750131729936600D+06 (age_target - star_age)/age_sigma 476 0.2971169046 remaining steps and years until age target 476 3 1.9312598797454834D+06 (age_target - star_age)/age_sigma 477 0.1980779364 remaining steps and years until age target 477 2 1.2875065864973068D+06 (age_target - star_age)/age_sigma 478 0.0990389682 remaining steps and years until age target 478 1 6.4375329324913025D+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 2.39 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 1.7400545110436158D-13 log_rel_run_E_err -10.0749761603628549 Teff 5716.5483620723 radius 1.0114129282 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 130.2549300965 M_H 0.0003508639 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 0.1231054477 log_R 0.0049285006 delta_nu 139.1365856807 nu_max 3023.4851123037 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 333376.7926785147 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 "13a2611" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251021" "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 3.3337679267851473E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620722725E+03 1.0114129281999173E+00 3.5086385926359043E-04 4.9285006214226787E-03 1.3913658568072702E+02 3.0234851123037161E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851473E+05 0 0 0 0 0 0 0 1 3.3351283960191300E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763063E+03 1.0231407131233186E+00 -1.7395981959431566E-03 9.9353665865348391E-03 1.3680762272707946E+02 2.9640776267836432E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191300E+05 0 0 0 0 0 0 0 3 3.3365606602480775E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367150E+03 1.0099970103006384E+00 2.9466215560743837E-02 4.3200882263484969E-03 1.3947582155334737E+02 3.0536692076812378E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602480775E+05 0 0 0 0 0 0 0 2 3.3468070564326044E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399268864E+03 1.0622782375813318E+00 -1.2788199777319889E-02 2.6238284372292867E-02 1.2938435093834747E+02 2.7294282123459179E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326044E+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 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -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 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -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 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -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 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -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 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 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 3.9562811873924580D-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 1.8246326219905981D-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 -21.674160 -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 2.4692961186459535D-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 -99.000000 -99.000000 -6.877439 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.5263385425781613D-13 log_rel_run_E_err -11.5724825099148703 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 0.018459 -99.000000 -99.000000 -6.898674 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7532776390036126D-13 log_rel_run_E_err -11.2667302304699213 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 -99.000000 -99.000000 -6.902152 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6895096247597393D-13 log_rel_run_E_err -11.0923685501088869 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 -99.000000 -99.000000 -6.903173 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.4832013347900388D-13 log_rel_run_E_err -10.9658508003687434 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 -20.771070 -99.000000 -6.903235 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7870370065617443D-13 log_rel_run_E_err -10.8680562560012035 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 -20.293948 -99.000000 -6.903236 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6219895785810756D-13 log_rel_run_E_err -10.7899303988692310 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 -20.771070 -99.000000 -6.903234 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.5244571692774348D-13 log_rel_run_E_err -10.7244345137953054 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 2.5600613851325579D-13 log_rel_run_E_err -10.6679250936529577 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 2.6948970834264419D-13 log_rel_run_E_err -10.6170425570107483 __________________________________________________________________________________________________________________________________________________ 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 -20.293948 -99.000000 -6.902847 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.8192486415124623D-13 log_rel_run_E_err -10.5716812450478450 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 2.5103324634198514D-13 log_rel_run_E_err -10.5320801319776649 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 2.5766175888979247D-13 log_rel_run_E_err -10.4716503624800392 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 -20.169010 -99.000000 -6.825305 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7211051047033489D-13 log_rel_run_E_err -10.4679296666298729 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 -99.000000 -99.000000 -6.660089 0.000000 0.003267 0.001976 0.018957 0.000E+00 varcontrol rel_E_err 1.9380686794893598D-11 log_rel_run_E_err -10.3228439322267072 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 2.1911184260618861D-13 log_rel_run_E_err -10.4354668841899656 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 -16.380559 -99.000000 -6.826841 0.000000 0.003263 0.001976 0.018959 0.000E+00 lgRho_cntr rel_E_err 1.8145759093522283D-13 log_rel_run_E_err -10.5709694589581442 (age_target - star_age)/age_sigma 169 694.7990561317 reducing max timestep prior to age target 169 4.5161938648558931D+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 -99.000000 -99.000000 -6.795056 0.000000 0.001811 0.001977 0.019204 0.000E+00 max increase rel_E_err 1.7853468330119241D-13 log_rel_run_E_err -10.6107611525286831 (age_target - star_age)/age_sigma 177 677.9484206968 reducing max timestep prior to age target 177 4.4066647345290298D+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 1.7740508893427074D-13 log_rel_run_E_err -10.5802067327770057 (age_target - star_age)/age_sigma 180 661.9635995976 reducing max timestep prior to age target 180 4.3027633973842974D+09 (age_target - star_age)/age_sigma 182 645.2691227045 reducing max timestep prior to age target 182 4.1942492975795135D+09 (age_target - star_age)/age_sigma 183 634.3418287382 reducing max timestep prior to age target 183 4.1232218867982001D+09 (age_target - star_age)/age_sigma 184 622.0228848805 reducing max timestep prior to age target 184 4.0431487517232208D+09 (age_target - star_age)/age_sigma 185 609.9503199000 reducing max timestep prior to age target 185 3.9646770793497405D+09 (age_target - star_age)/age_sigma 186 598.1192062190 reducing max timestep prior to age target 186 3.8877748404237304D+09 (age_target - star_age)/age_sigma 187 586.5247148117 reducing max timestep prior to age target 187 3.8124106462762403D+09 (age_target - star_age)/age_sigma 188 575.1621132326 reducing max timestep prior to age target 188 3.7385537360116997D+09 (age_target - star_age)/age_sigma 189 564.0267636850 reducing max timestep prior to age target 189 3.6661739639524503D+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 -99.000000 -99.000000 -6.816016 0.000000 0.000014 0.001989 0.019631 0.000E+00 max_dt rel_E_err 1.9614993016395425D-13 log_rel_run_E_err -10.5511490965969461 (age_target - star_age)/age_sigma 190 553.1141211284 reducing max timestep prior to age target 190 3.5952417873343854D+09 (age_target - star_age)/age_sigma 191 542.4197314229 reducing max timestep prior to age target 191 3.5257282542486820D+09 (age_target - star_age)/age_sigma 192 531.9392295115 reducing max timestep prior to age target 192 3.4576049918246932D+09 (age_target - star_age)/age_sigma 193 521.6683376383 reducing max timestep prior to age target 193 3.3908441946491838D+09 (age_target - star_age)/age_sigma 194 511.6028636026 reducing max timestep prior to age target 194 3.3254186134171848D+09 (age_target - star_age)/age_sigma 195 501.7386990477 reducing max timestep prior to age target 195 3.2613015438098254D+09 (age_target - star_age)/age_sigma 196 492.0718177838 reducing max timestep prior to age target 196 3.1984668155946131D+09 (age_target - star_age)/age_sigma 197 482.5982741452 reducing max timestep prior to age target 197 3.1368887819437056D+09 (age_target - star_age)/age_sigma 198 473.3142013794 reducing max timestep prior to age target 198 3.0765423089658160D+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 1.9227778587664555D-13 log_rel_run_E_err -10.5249203583876607 (age_target - star_age)/age_sigma 200 455.1174187583 reducing max timestep prior to age target 200 2.9582632219291520D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 446.2009952740 reducing max timestep prior to age target 201 2.9003064692811871D+09 (age_target - star_age)/age_sigma 202 437.4629002594 reducing max timestep prior to age target 202 2.8435088516861811D+09 (age_target - star_age)/age_sigma 203 428.8995671451 reducing max timestep prior to age target 203 2.7878471864430752D+09 (age_target - star_age)/age_sigma 204 420.5075006931 reducing max timestep prior to age target 204 2.7332987545048313D+09 (age_target - star_age)/age_sigma 205 412.2832755701 reducing max timestep prior to age target 205 2.6798412912053528D+09 (age_target - star_age)/age_sigma 206 404.2235349495 reducing max timestep prior to age target 206 2.6274529771718636D+09 (age_target - star_age)/age_sigma 207 396.3249891414 reducing max timestep prior to age target 207 2.5761124294190440D+09 (age_target - star_age)/age_sigma 208 388.5844142494 reducing max timestep prior to age target 208 2.5257986926212807D+09 (age_target - star_age)/age_sigma 209 380.9986508553 reducing max timestep prior to age target 209 2.4764912305594730D+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 -15.255620 -99.000000 -6.836677 0.000000 0.000015 0.002005 0.019788 0.000E+00 max_dt rel_E_err 1.9154199633823322D-13 log_rel_run_E_err -10.5002729600631728 (age_target - star_age)/age_sigma 210 373.5646027291 reducing max timestep prior to age target 210 2.4281699177389016D+09 (age_target - star_age)/age_sigma 211 366.2792355653 reducing max timestep prior to age target 211 2.3808150311747413D+09 (age_target - star_age)/age_sigma 212 359.1395757449 reducing max timestep prior to age target 212 2.3344072423418641D+09 (age_target - star_age)/age_sigma 213 352.1427091209 reducing max timestep prior to age target 213 2.2889276092856450D+09 (age_target - star_age)/age_sigma 214 345.2857798293 reducing max timestep prior to age target 214 2.2443575688905497D+09 (age_target - star_age)/age_sigma 215 338.5659891236 reducing max timestep prior to age target 215 2.2006789293033571D+09 (age_target - star_age)/age_sigma 216 331.9805942320 reducing max timestep prior to age target 216 2.1578738625079079D+09 (age_target - star_age)/age_sigma 217 325.5269072382 reducing max timestep prior to age target 217 2.1159248970483675D+09 (age_target - star_age)/age_sigma 218 319.2022939843 reducing max timestep prior to age target 218 2.0748149108980179D+09 (age_target - star_age)/age_sigma 219 313.0041729955 reducing max timestep prior to age target 219 2.0345271244706755D+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 1.8438771263297022D-13 log_rel_run_E_err -10.4763693222892265 (age_target - star_age)/age_sigma 220 306.9300144264 reducing max timestep prior to age target 220 1.9950450937718797D+09 (age_target - star_age)/age_sigma 221 300.9773390288 reducing max timestep prior to age target 221 1.9563527036870599D+09 (age_target - star_age)/age_sigma 222 295.1437171391 reducing max timestep prior to age target 222 1.9184341614039369D+09 (age_target - star_age)/age_sigma 223 289.4267676872 reducing max timestep prior to age target 223 1.8812739899664760D+09 (age_target - star_age)/age_sigma 224 283.8241572243 reducing max timestep prior to age target 224 1.8448570219577646D+09 (age_target - star_age)/age_sigma 225 278.3335989707 reducing max timestep prior to age target 225 1.8091683933092270D+09 (age_target - star_age)/age_sigma 226 272.9528518821 reducing max timestep prior to age target 226 1.7741935372336602D+09 (age_target - star_age)/age_sigma 227 267.6797197353 reducing max timestep prior to age target 227 1.7399181782796049D+09 (age_target - star_age)/age_sigma 228 262.5120502315 reducing max timestep prior to age target 228 1.7063283265046310D+09 (age_target - star_age)/age_sigma 229 257.4477341177 reducing max timestep prior to age target 229 1.6734102717651563D+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 1.9227277542659587D-13 log_rel_run_E_err -10.4534467505085331 (age_target - star_age)/age_sigma 230 252.4847043262 reducing max timestep prior to age target 230 1.6411505781204710D+09 (age_target - star_age)/age_sigma 231 247.6209351306 reducing max timestep prior to age target 231 1.6095360783486795D+09 (age_target - star_age)/age_sigma 232 242.8544413188 reducing max timestep prior to age target 232 1.5785538685723238D+09 (age_target - star_age)/age_sigma 233 238.1832773833 reducing max timestep prior to age target 233 1.5481913029914956D+09 (age_target - star_age)/age_sigma 235 229.0277960697 reducing max timestep prior to age target 235 1.4886806744530716D+09 (age_target - star_age)/age_sigma 236 224.5416102260 reducing max timestep prior to age target 236 1.4595204664692440D+09 (age_target - star_age)/age_sigma 237 220.1451480992 reducing max timestep prior to age target 237 1.4309434626450925D+09 (age_target - star_age)/age_sigma 238 215.8366152150 reducing max timestep prior to age target 238 1.4029379988974242D+09 (age_target - star_age)/age_sigma 239 211.6142529884 reducing max timestep prior to age target 239 1.3754926444247098D+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 1.8073433838780916D-13 log_rel_run_E_err -10.4320780726314482 (age_target - star_age)/age_sigma 240 207.4763380064 reducing max timestep prior to age target 240 1.3485961970414491D+09 (age_target - star_age)/age_sigma 241 203.4211813240 reducing max timestep prior to age target 241 1.3222376786058540D+09 (age_target - star_age)/age_sigma 242 199.4471277752 reducing max timestep prior to age target 242 1.2964063305389705D+09 (age_target - star_age)/age_sigma 243 195.5525552974 reducing max timestep prior to age target 243 1.2710916094334245D+09 (age_target - star_age)/age_sigma 244 191.7358742692 reducing max timestep prior to age target 244 1.2462831827499895D+09 (age_target - star_age)/age_sigma 245 187.9955268616 reducing max timestep prior to age target 245 1.2219709246002235D+09 (age_target - star_age)/age_sigma 246 184.3299864021 reducing max timestep prior to age target 246 1.1981449116134529D+09 (age_target - star_age)/age_sigma 247 180.7377567518 reducing max timestep prior to age target 247 1.1747954188864179D+09 (age_target - star_age)/age_sigma 248 177.2173716944 reducing max timestep prior to age target 248 1.1519129160139232D+09 (age_target - star_age)/age_sigma 249 173.7673943383 reducing max timestep prior to age target 249 1.1294880631988778D+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 -15.954590 -99.000000 -6.862532 0.000000 0.000017 0.002023 0.019950 0.000E+00 max_dt rel_E_err 1.9173294883507758D-13 log_rel_run_E_err -10.4116178899063296 (age_target - star_age)/age_sigma 250 170.3864165293 reducing max timestep prior to age target 250 1.1075117074401340D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 167.0730582764 reducing max timestep prior to age target 251 1.0859748787965651D+09 (age_target - star_age)/age_sigma 252 163.8259671886 reducing max timestep prior to age target 252 1.0648687867258677D+09 (age_target - star_age)/age_sigma 253 160.6438179226 reducing max timestep prior to age target 253 1.0441848164965839D+09 (age_target - star_age)/age_sigma 254 157.5253116418 reducing max timestep prior to age target 254 1.0239145256718860D+09 (age_target - star_age)/age_sigma 255 154.4691754867 reducing max timestep prior to age target 255 1.0040496406636820D+09 (age_target - star_age)/age_sigma 256 151.4741620547 reducing max timestep prior to age target 256 9.8458205335564184D+08 (age_target - star_age)/age_sigma 257 148.5390488913 reducing max timestep prior to age target 257 9.6550381779376268D+08 (age_target - star_age)/age_sigma 258 145.6626379912 reducing max timestep prior to age target 258 9.4680714694312096D+08 (age_target - star_age)/age_sigma 259 142.8437553092 reducing max timestep prior to age target 259 9.2848440950949240D+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 -15.176439 -99.000000 -6.866624 0.000000 0.000017 0.002025 0.019972 0.000E+00 max_dt rel_E_err 1.8031950180091497D-13 log_rel_run_E_err -10.3921351129548345 (age_target - star_age)/age_sigma 260 140.0812502807 reducing max timestep prior to age target 260 9.1052812682453632D+08 (age_target - star_age)/age_sigma 261 137.3739953528 reducing max timestep prior to age target 261 8.9293096979327917D+08 (age_target - star_age)/age_sigma 262 134.7208855235 reducing max timestep prior to age target 262 8.7568575590264702D+08 (age_target - star_age)/age_sigma 263 132.1208378907 reducing max timestep prior to age target 263 8.5878544628982782D+08 (age_target - star_age)/age_sigma 264 129.5727912107 reducing max timestep prior to age target 264 8.4222314286926508D+08 (age_target - star_age)/age_sigma 265 127.0757054642 reducing max timestep prior to age target 265 8.2599208551711369D+08 (age_target - star_age)/age_sigma 266 124.6285614326 reducing max timestep prior to age target 266 8.1008564931200504D+08 (age_target - star_age)/age_sigma 267 122.2303602817 reducing max timestep prior to age target 267 7.9449734183099842D+08 (age_target - star_age)/age_sigma 269 117.5298860259 reducing max timestep prior to age target 269 7.6394425916822577D+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 1.7930596582259465D-13 log_rel_run_E_err -10.3734025825048395 (age_target - star_age)/age_sigma 270 115.2266536405 reducing max timestep prior to age target 270 7.4897324866346693D+08 (age_target - star_age)/age_sigma 271 112.9694859029 reducing max timestep prior to age target 271 7.3430165836880350D+08 (age_target - star_age)/age_sigma 272 110.7574615200 reducing max timestep prior to age target 272 7.1992349988003349D+08 (age_target - star_age)/age_sigma 273 108.5896776248 reducing max timestep prior to age target 273 7.0583290456103897D+08 (age_target - star_age)/age_sigma 274 106.4652494074 reducing max timestep prior to age target 274 6.9202412114842415D+08 (age_target - star_age)/age_sigma 275 104.3833097545 reducing max timestep prior to age target 275 6.7849151340406179D+08 (age_target - star_age)/age_sigma 276 102.3430088946 reducing max timestep prior to age target 276 6.6522955781458616D+08 (age_target - star_age)/age_sigma 277 100.3435140518 reducing max timestep prior to age target 277 6.5223284133690023D+08 (age_target - star_age)/age_sigma 278 98.3840091060 reducing max timestep prior to age target 278 6.3949605918876839D+08 (age_target - star_age)/age_sigma 279 96.4636942590 reducing max timestep prior to age target 279 6.2701401268359852D+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 1.9511777480624126D-13 log_rel_run_E_err -10.3553317977340580 (age_target - star_age)/age_sigma 280 94.5817857090 reducing max timestep prior to age target 280 6.1478160710853243D+08 (age_target - star_age)/age_sigma 281 92.7375153300 reducing max timestep prior to age target 281 6.0279384964496756D+08 (age_target - star_age)/age_sigma 282 90.9301303586 reducing max timestep prior to age target 282 5.9104584733067417D+08 (age_target - star_age)/age_sigma 283 89.1588930866 reducing max timestep prior to age target 283 5.7953280506266642D+08 (age_target - star_age)/age_sigma 284 87.4230805600 reducing max timestep prior to age target 284 5.6825002364001894D+08 (age_target - star_age)/age_sigma 285 85.7219842840 reducing max timestep prior to age target 285 5.5719289784582472D+08 (age_target - star_age)/age_sigma 286 84.0549099335 reducing max timestep prior to age target 286 5.4635691456751394D+08 (age_target - star_age)/age_sigma 287 82.4211770700 reducing max timestep prior to age target 287 5.3573765095476961D+08 (age_target - star_age)/age_sigma 288 80.8201188637 reducing max timestep prior to age target 288 5.2533077261428022D+08 (age_target - star_age)/age_sigma 289 79.2510818216 reducing max timestep prior to age target 289 5.1513203184060097D+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 -15.352530 -99.000000 -6.875260 0.000000 0.000018 0.002030 0.020015 0.000E+00 max_dt rel_E_err 1.7778623944578761D-13 log_rel_run_E_err -10.3384067542004239 (age_target - star_age)/age_sigma 290 77.7134255204 reducing max timestep prior to age target 290 5.0513726588239479D+08 (age_target - star_age)/age_sigma 291 76.2065223451 reducing max timestep prior to age target 291 4.9534239524335289D+08 (age_target - star_age)/age_sigma 292 74.7297572334 reducing max timestep prior to age target 292 4.8574342201709175D+08 (age_target - star_age)/age_sigma 293 73.2825274239 reducing max timestep prior to age target 293 4.7633642825535583D+08 (age_target - star_age)/age_sigma 294 71.8642422106 reducing max timestep prior to age target 294 4.6711757436885452D+08 (age_target - star_age)/age_sigma 295 70.4743227016 reducing max timestep prior to age target 295 4.5808309756008291D+08 (age_target - star_age)/age_sigma 296 69.1122015827 reducing max timestep prior to age target 296 4.4922931028748751D+08 (age_target - star_age)/age_sigma 297 67.7773228862 reducing max timestep prior to age target 297 4.4055259876034355D+08 (age_target - star_age)/age_sigma 298 66.4691417637 reducing max timestep prior to age target 298 4.3204942146374273D+08 (age_target - star_age)/age_sigma 299 65.1871242635 reducing max timestep prior to age target 299 4.2371630771307373D+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 -99.000000 -99.000000 -6.877201 0.000000 0.000018 0.002031 0.020024 0.000E+00 max_dt rel_E_err 1.7619876811320024D-13 log_rel_run_E_err -10.3219504409534579 (age_target - star_age)/age_sigma 300 63.9307471134 reducing max timestep prior to age target 300 4.1554985623741817D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.6994975064 reducing max timestep prior to age target 301 4.0754673379127598D+08 (age_target - star_age)/age_sigma 302 61.4928728914 reducing max timestep prior to age target 302 3.9970367379405642D+08 (age_target - star_age)/age_sigma 304 59.1278886461 reducing max timestep prior to age target 304 3.8433127619950581D+08 (age_target - star_age)/age_sigma 305 57.9690463659 reducing max timestep prior to age target 305 3.7679880137817574D+08 (age_target - star_age)/age_sigma 306 56.8333809313 reducing max timestep prior to age target 306 3.6941697605327272D+08 (age_target - star_age)/age_sigma 307 55.7204288054 reducing max timestep prior to age target 307 3.6218278723486757D+08 (age_target - star_age)/age_sigma 308 54.6297357220 reducing max timestep prior to age target 308 3.5509328219283056D+08 (age_target - star_age)/age_sigma 309 53.5608565003 reducing max timestep prior to age target 309 3.4814556725163412D+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 -99.000000 -99.000000 -6.878829 0.000000 0.000018 0.002032 0.020031 0.000E+00 max_dt rel_E_err 1.8860439964450312D-13 log_rel_run_E_err -10.3059352502496626 (age_target - star_age)/age_sigma 310 52.5133548630 reducing max timestep prior to age target 310 3.4133680660926199D+08 (age_target - star_age)/age_sigma 311 51.4868032584 reducing max timestep prior to age target 311 3.3466422117973757D+08 (age_target - star_age)/age_sigma 312 50.4807826860 reducing max timestep prior to age target 312 3.2812508745880318D+08 (age_target - star_age)/age_sigma 313 49.4948825250 reducing max timestep prior to age target 313 3.2171673641228724D+08 (age_target - star_age)/age_sigma 314 48.5287003672 reducing max timestep prior to age target 314 3.1543655238670206D+08 (age_target - star_age)/age_sigma 315 47.5818418526 reducing max timestep prior to age target 315 3.0928197204162836D+08 (age_target - star_age)/age_sigma 316 46.6539205082 reducing max timestep prior to age target 316 3.0325048330345631D+08 (age_target - star_age)/age_sigma 317 45.7445575908 reducing max timestep prior to age target 317 2.9733962434004784D+08 (age_target - star_age)/age_sigma 318 44.8533819317 reducing max timestep prior to age target 318 2.9154698255590677D+08 (age_target - star_age)/age_sigma 319 43.9800297858 reducing max timestep prior to age target 319 2.8587019360744905D+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 1.7629177055234283D-13 log_rel_run_E_err -10.2905817161063879 (age_target - star_age)/age_sigma 320 43.1241446828 reducing max timestep prior to age target 320 2.8030694043796015D+08 (age_target - star_age)/age_sigma 321 42.2853772818 reducing max timestep prior to age target 321 2.7485495233186150D+08 (age_target - star_age)/age_sigma 322 41.4633852289 reducing max timestep prior to age target 322 2.6951200398788452D+08 (age_target - star_age)/age_sigma 323 40.6578330170 reducing max timestep prior to age target 323 2.6427591461078739D+08 (age_target - star_age)/age_sigma 324 39.8683918494 reducing max timestep prior to age target 324 2.5914454702123165D+08 (age_target - star_age)/age_sigma 325 39.0947395051 reducing max timestep prior to age target 325 2.5411580678346825D+08 (age_target - star_age)/age_sigma 326 38.3365602078 reducing max timestep prior to age target 326 2.4918764135045910D+08 (age_target - star_age)/age_sigma 327 37.5935444963 reducing max timestep prior to age target 327 2.4435803922611046D+08 (age_target - star_age)/age_sigma 328 36.8653890991 reducing max timestep prior to age target 328 2.3962502914424896D+08 (age_target - star_age)/age_sigma 329 36.1517968098 reducing max timestep prior to age target 329 2.3498667926402378D+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 1.9623654340555120D-13 log_rel_run_E_err -10.2754249305714769 (age_target - star_age)/age_sigma 330 35.4524763664 reducing max timestep prior to age target 330 2.3044109638140392D+08 (age_target - star_age)/age_sigma 331 34.7671423318 reducing max timestep prior to age target 331 2.2598642515643597D+08 (age_target - star_age)/age_sigma 332 34.0955149778 reducing max timestep prior to age target 332 2.2162084735596752D+08 (age_target - star_age)/age_sigma 333 33.4373201710 reducing max timestep prior to age target 333 2.1734258111150837D+08 (age_target - star_age)/age_sigma 334 32.7922892603 reducing max timestep prior to age target 334 2.1314988019193935D+08 (age_target - star_age)/age_sigma 335 32.1601589678 reducing max timestep prior to age target 335 2.0904103329076099D+08 (age_target - star_age)/age_sigma 336 31.5406712812 reducing max timestep prior to age target 336 2.0501436332760620D+08 (age_target - star_age)/age_sigma 337 30.9335733483 reducing max timestep prior to age target 337 2.0106822676371479D+08 (age_target - star_age)/age_sigma 338 30.3386173740 reducing max timestep prior to age target 338 1.9720101293110085D+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 -15.954590 -99.000000 -6.882164 0.000000 0.000018 0.002034 0.020046 0.000E+00 max_dt rel_E_err 1.8888979162342994D-13 log_rel_run_E_err -10.2605339886649496 (age_target - star_age)/age_sigma 340 29.1725036645 reducing max timestep prior to age target 340 1.8962127381917667D+08 (age_target - star_age)/age_sigma 341 28.6011079468 reducing max timestep prior to age target 341 1.8590720165433502D+08 (age_target - star_age)/age_sigma 342 28.0411401435 reducing max timestep prior to age target 342 1.8226741093278885D+08 (age_target - star_age)/age_sigma 343 27.4923716963 reducing max timestep prior to age target 343 1.7870041602567482D+08 (age_target - star_age)/age_sigma 344 26.9545786180 reducing max timestep prior to age target 344 1.7520476101670265D+08 (age_target - star_age)/age_sigma 345 26.4275414012 reducing max timestep prior to age target 345 1.7177901910790920D+08 (age_target - star_age)/age_sigma 346 25.9110449288 reducing max timestep prior to age target 346 1.6842179203729248D+08 (age_target - star_age)/age_sigma 347 25.4048783859 reducing max timestep prior to age target 347 1.6513170950808811D+08 (age_target - star_age)/age_sigma 348 24.9088351738 reducing max timestep prior to age target 348 1.6190742862946701D+08 (age_target - star_age)/age_sigma 349 24.4227128259 reducing max timestep prior to age target 349 1.5874763336841965D+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 1.7596638648315556D-13 log_rel_run_E_err -10.2466073828129058 (age_target - star_age)/age_sigma 350 23.9463129250 reducing max timestep prior to age target 350 1.5565103401259232D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.4794410221 reducing max timestep prior to age target 351 1.5261636664388180D+08 (age_target - star_age)/age_sigma 352 23.0219065573 reducing max timestep prior to age target 352 1.4964239262254524D+08 (age_target - star_age)/age_sigma 353 22.5735227818 reducing max timestep prior to age target 353 1.4672789808163548D+08 (age_target - star_age)/age_sigma 354 22.1341066818 reducing max timestep prior to age target 354 1.4387169343154430D+08 (age_target - star_age)/age_sigma 355 21.7034789038 reducing max timestep prior to age target 355 1.4107261287445450D+08 (age_target - star_age)/age_sigma 356 21.2814636813 reducing max timestep prior to age target 356 1.3832951392850685D+08 (age_target - star_age)/age_sigma 357 20.8678887633 reducing max timestep prior to age target 357 1.3564127696147728D+08 (age_target - star_age)/age_sigma 358 20.4625853437 reducing max timestep prior to age target 358 1.3300680473378944D+08 (age_target - star_age)/age_sigma 359 20.0653879924 reducing max timestep prior to age target 359 1.3042502195065403D+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 1.7680133772071281D-13 log_rel_run_E_err -10.2330628656789848 (age_target - star_age)/age_sigma 360 19.6761345882 reducing max timestep prior to age target 360 1.2789487482318211D+08 (age_target - star_age)/age_sigma 361 19.2946662520 reducing max timestep prior to age target 361 1.2541533063825989D+08 (age_target - star_age)/age_sigma 362 18.9208272826 reducing max timestep prior to age target 362 1.2298537733703613D+08 (age_target - star_age)/age_sigma 363 18.5544650926 reducing max timestep prior to age target 363 1.2060402310183620D+08 (age_target - star_age)/age_sigma 364 18.1954301464 reducing max timestep prior to age target 364 1.1827029595134068D+08 (age_target - star_age)/age_sigma 365 17.8435758991 reducing max timestep prior to age target 365 1.1598324334385490D+08 (age_target - star_age)/age_sigma 366 17.4987587367 reducing max timestep prior to age target 366 1.1374193178851891D+08 (age_target - star_age)/age_sigma 367 17.1608379176 reducing max timestep prior to age target 367 1.1154544646429062D+08 (age_target - star_age)/age_sigma 368 16.8296755149 reducing max timestep prior to age target 368 1.0939289084654522D+08 (age_target - star_age)/age_sigma 369 16.5051363602 reducing max timestep prior to age target 369 1.0728338634115601D+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 -15.477469 -99.000000 -6.884034 0.000000 0.000019 0.002035 0.020053 0.000E+00 max_dt rel_E_err 1.7849981139583661D-13 log_rel_run_E_err -10.2195986392592495 (age_target - star_age)/age_sigma 370 16.1870879886 reducing max timestep prior to age target 370 1.0521607192587376D+08 (age_target - star_age)/age_sigma 371 15.8754005844 reducing max timestep prior to age target 371 1.0319010379889774D+08 (age_target - star_age)/age_sigma 372 15.5699469284 reducing max timestep prior to age target 372 1.0120465503446102D+08 (age_target - star_age)/age_sigma 374 14.9712577625 reducing max timestep prior to age target 374 9.7313175456165314D+07 (age_target - star_age)/age_sigma 375 14.6779000712 reducing max timestep prior to age target 375 9.5406350462800026D+07 (age_target - star_age)/age_sigma 376 14.3904095337 reducing max timestep prior to age target 376 9.3537661969302177D+07 (age_target - star_age)/age_sigma 377 14.1086688070 reducing max timestep prior to age target 377 9.1706347245674133D+07 (age_target - star_age)/age_sigma 378 13.8325628948 reducing max timestep prior to age target 378 8.9911658816519737D+07 (age_target - star_age)/age_sigma 379 13.5619791009 reducing max timestep prior to age target 379 8.8152864155947685D+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 1.8363792444878182D-13 log_rel_run_E_err -10.2067453863191524 (age_target - star_age)/age_sigma 380 13.2968069829 reducing max timestep prior to age target 380 8.6429245388586998D+07 (age_target - star_age)/age_sigma 381 13.0369383072 reducing max timestep prior to age target 381 8.4740098996573448D+07 (age_target - star_age)/age_sigma 382 12.7822670050 reducing max timestep prior to age target 382 8.3084735532400131D+07 (age_target - star_age)/age_sigma 383 12.5326891288 reducing max timestep prior to age target 383 8.1462479337510109D+07 (age_target - star_age)/age_sigma 384 12.2881028102 reducing max timestep prior to age target 384 7.9872668266517639D+07 (age_target - star_age)/age_sigma 385 12.0484082180 reducing max timestep prior to age target 385 7.8314653416945457D+07 (age_target - star_age)/age_sigma 386 11.8135075176 reducing max timestep prior to age target 386 7.6787798864364624D+07 (age_target - star_age)/age_sigma 387 11.5833048312 reducing max timestep prior to age target 387 7.5291481402835846D+07 (age_target - star_age)/age_sigma 388 11.3577061985 reducing max timestep prior to age target 388 7.3825090290536880D+07 (age_target - star_age)/age_sigma 389 11.1366195385 reducing max timestep prior to age target 389 7.2388027000484467D+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 -99.000000 -99.000000 -6.884795 0.000000 0.000019 0.002036 0.020056 0.000E+00 max_dt rel_E_err 1.7868428744565385D-13 log_rel_run_E_err -10.1945164171989457 (age_target - star_age)/age_sigma 390 10.9199546117 reducing max timestep prior to age target 390 7.0979704976233482D+07 (age_target - star_age)/age_sigma 391 10.7076229835 reducing max timestep prior to age target 391 6.9599549392466545D+07 (age_target - star_age)/age_sigma 392 10.4995379878 reducing max timestep prior to age target 392 6.8246996920375824D+07 (age_target - star_age)/age_sigma 393 10.2956146920 reducing max timestep prior to age target 393 6.6921495497726440D+07 (age_target - star_age)/age_sigma 394 10.0957698621 reducing max timestep prior to age target 394 6.5622504103529930D+07 (age_target - star_age)/age_sigma 395 9.8999219288 reducing max timestep prior to age target 395 6.4349492537218094D+07 (age_target - star_age)/age_sigma 396 9.7079909542 reducing max timestep prior to age target 396 6.3101941202231407D+07 (age_target - star_age)/age_sigma 397 9.5198985991 reducing max timestep prior to age target 397 6.1879340893945694D+07 (age_target - star_age)/age_sigma 398 9.3355680910 reducing max timestep prior to age target 398 6.0681192591824532D+07 (age_target - star_age)/age_sigma 399 9.1549241932 reducing max timestep prior to age target 399 5.9507007255745888D+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 3 4.5111E+09 2.140916 -0.047794 -99.000000 -99.000000 -6.885076 0.000000 0.000019 0.002036 0.020057 0.000E+00 max_dt rel_E_err 1.8533042951839584D-13 log_rel_run_E_err -10.1824931049215355 (age_target - star_age)/age_sigma 400 8.9778931733 reducing max timestep prior to age target 400 5.8356305626389503D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.8044027738 reducing max timestep prior to age target 401 5.7228618029620171D+07 (age_target - star_age)/age_sigma 402 8.6343821823 reducing max timestep prior to age target 402 5.6123484184785843D+07 (age_target - star_age)/age_sigma 403 8.4677620026 reducing max timestep prior to age target 403 5.5040453016847610D+07 (age_target - star_age)/age_sigma 404 8.3044742265 reducing max timestep prior to age target 404 5.3979082472269058D+07 (age_target - star_age)/age_sigma 405 8.1444522059 reducing max timestep prior to age target 405 5.2938939338582039D+07 (age_target - star_age)/age_sigma 406 7.9876306258 reducing max timestep prior to age target 406 5.1919599067568779D+07 (age_target - star_age)/age_sigma 407 7.8339454772 reducing max timestep prior to age target 407 5.0920645601975441D+07 (age_target - star_age)/age_sigma 409 7.5327225861 reducing max timestep prior to age target 409 4.8962696809412956D+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 1.7930822594807394D-13 log_rel_run_E_err -10.1704600883969221 (age_target - star_age)/age_sigma 410 7.3851233694 reducing max timestep prior to age target 410 4.8003301901057243D+07 (age_target - star_age)/age_sigma 411 7.2404761371 reducing max timestep prior to age target 411 4.7063094890869141D+07 (age_target - star_age)/age_sigma 412 7.0987218494 reducing max timestep prior to age target 412 4.6141692020884514D+07 (age_target - star_age)/age_sigma 413 6.9598026474 reducing max timestep prior to age target 413 4.5238717208299637D+07 (age_target - star_age)/age_sigma 414 6.8236618295 reducing max timestep prior to age target 414 4.4353801891966820D+07 (age_target - star_age)/age_sigma 415 6.6902438280 reducing max timestep prior to age target 415 4.3486584881959915D+07 (age_target - star_age)/age_sigma 416 6.5594941865 reducing max timestep prior to age target 416 4.2636712212153435D+07 (age_target - star_age)/age_sigma 417 6.4313595378 reducing max timestep prior to age target 417 4.1803836995742798D+07 (age_target - star_age)/age_sigma 418 6.3057875821 reducing max timestep prior to age target 418 4.0987619283660889D+07 (age_target - star_age)/age_sigma 419 6.1827270655 reducing max timestep prior to age target 419 4.0187725925820351D+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 1.9068137837065786D-13 log_rel_run_E_err -10.1589855318437365 (age_target - star_age)/age_sigma 420 6.0621277593 reducing max timestep prior to age target 420 3.9403830435135841D+07 (age_target - star_age)/age_sigma 421 5.9439404391 reducing max timestep prior to age target 421 3.8635612854266167D+07 (age_target - star_age)/age_sigma 422 5.8281168654 reducing max timestep prior to age target 422 3.7882759625013351D+07 (age_target - star_age)/age_sigma 423 5.7146097631 reducing max timestep prior to age target 423 3.7144963460346222D+07 (age_target - star_age)/age_sigma 424 5.6033728029 reducing max timestep prior to age target 424 3.6421923218971252D+07 (age_target - star_age)/age_sigma 425 5.4943605819 reducing max timestep prior to age target 425 3.5713343782424927D+07 (age_target - star_age)/age_sigma 426 5.3875286053 reducing max timestep prior to age target 426 3.5018935934608459D+07 (age_target - star_age)/age_sigma 427 5.2828332683 reducing max timestep prior to age target 427 3.4338416243748665D+07 (age_target - star_age)/age_sigma 428 5.1802318380 reducing max timestep prior to age target 428 3.3671506946705818D+07 (age_target - star_age)/age_sigma 429 5.0796824362 reducing max timestep prior to age target 429 3.3017935835604668D+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 -15.255620 -99.000000 -6.885655 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt rel_E_err 1.8723918702597326D-13 log_rel_run_E_err -10.1479625401161773 (age_target - star_age)/age_sigma 430 4.9800808198 remaining steps and years until age target 430 50 3.2370525329024315D+07 (age_target - star_age)/age_sigma 431 4.8804792035 remaining steps and years until age target 431 49 3.1723114822443962D+07 (age_target - star_age)/age_sigma 432 4.7808775871 remaining steps and years until age target 432 48 3.1075704315863609D+07 (age_target - star_age)/age_sigma 433 4.6812759707 remaining steps and years until age target 433 47 3.0428293809283257D+07 (age_target - star_age)/age_sigma 434 4.5816743543 reducing max timestep prior to age target 434 2.9780883302701950D+07 (age_target - star_age)/age_sigma 435 4.4820727379 remaining steps and years until age target 435 45 2.9133472796121597D+07 (age_target - star_age)/age_sigma 436 4.3824711215 remaining steps and years until age target 436 44 2.8486062289541245D+07 (age_target - star_age)/age_sigma 437 4.2828695051 remaining steps and years until age target 437 43 2.7838651782960892D+07 (age_target - star_age)/age_sigma 438 4.1832678887 remaining steps and years until age target 438 42 2.7191241276380539D+07 (age_target - star_age)/age_sigma 439 4.0836662723 remaining steps and years until age target 439 41 2.6543830769800186D+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 1.8444189396975080D-13 log_rel_run_E_err -10.1370188672235990 (age_target - star_age)/age_sigma 440 3.9840646559 remaining steps and years until age target 440 40 2.5896420263219833D+07 (age_target - star_age)/age_sigma 441 3.8844630395 remaining steps and years until age target 441 39 2.5249009756639481D+07 (age_target - star_age)/age_sigma 442 3.7848614231 reducing max timestep prior to age target 442 2.4601599250058174D+07 (age_target - star_age)/age_sigma 443 3.6852598067 remaining steps and years until age target 443 37 2.3954188743477821D+07 (age_target - star_age)/age_sigma 444 3.5856581903 remaining steps and years until age target 444 36 2.3306778236897469D+07 (age_target - star_age)/age_sigma 445 3.4860565739 remaining steps and years until age target 445 35 2.2659367730317116D+07 (age_target - star_age)/age_sigma 446 3.3864549575 remaining steps and years until age target 446 34 2.2011957223736763D+07 (age_target - star_age)/age_sigma 447 3.2868533411 remaining steps and years until age target 447 33 2.1364546717156410D+07 (age_target - star_age)/age_sigma 448 3.1872517247 remaining steps and years until age target 448 32 2.0717136210576057D+07 (age_target - star_age)/age_sigma 449 3.0876501083 remaining steps and years until age target 449 31 2.0069725703995705D+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 -15.255620 -99.000000 -6.885942 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt rel_E_err 1.7477405875087379D-13 log_rel_run_E_err -10.1263598275951043 (age_target - star_age)/age_sigma 450 2.9880484919 reducing max timestep prior to age target 450 1.9422315197414398D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8884468755 remaining steps and years until age target 451 29 1.8774904690834045D+07 (age_target - star_age)/age_sigma 452 2.7888452591 remaining steps and years until age target 452 28 1.8127494184253693D+07 (age_target - star_age)/age_sigma 453 2.6892436427 remaining steps and years until age target 453 27 1.7480083677673340D+07 (age_target - star_age)/age_sigma 454 2.5896420263 remaining steps and years until age target 454 26 1.6832673171092987D+07 (age_target - star_age)/age_sigma 455 2.4900404099 remaining steps and years until age target 455 25 1.6185262664512634D+07 (age_target - star_age)/age_sigma 456 2.3904387935 remaining steps and years until age target 456 24 1.5537852157932281D+07 (age_target - star_age)/age_sigma 457 2.2908371771 reducing max timestep prior to age target 457 1.4890441651350975D+07 (age_target - star_age)/age_sigma 458 2.1912355607 remaining steps and years until age target 458 22 1.4243031144770622D+07 (age_target - star_age)/age_sigma 459 2.0916339443 remaining steps and years until age target 459 21 1.3595620638190269D+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 1.6682447006825526D-13 log_rel_run_E_err -10.1163978584099628 (age_target - star_age)/age_sigma 460 1.9920323279 remaining steps and years until age target 460 20 1.2948210131609917D+07 (age_target - star_age)/age_sigma 461 1.8924307115 remaining steps and years until age target 461 19 1.2300799625029564D+07 (age_target - star_age)/age_sigma 462 1.7928290951 remaining steps and years until age target 462 18 1.1653389118449211D+07 (age_target - star_age)/age_sigma 463 1.6932274787 remaining steps and years until age target 463 17 1.1005978611868858D+07 (age_target - star_age)/age_sigma 464 1.5936258624 remaining steps and years until age target 464 16 1.0358568105288506D+07 (age_target - star_age)/age_sigma 465 1.4940242460 reducing max timestep prior to age target 465 9.7111575987071991D+06 (age_target - star_age)/age_sigma 466 1.3944226296 remaining steps and years until age target 466 14 9.0637470921268463D+06 (age_target - star_age)/age_sigma 467 1.2948210132 remaining steps and years until age target 467 13 8.4163365855464935D+06 (age_target - star_age)/age_sigma 468 1.1952193968 remaining steps and years until age target 468 12 7.7689260789661407D+06 (age_target - star_age)/age_sigma 469 1.0956177804 remaining steps and years until age target 469 11 7.1215155723857880D+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 -15.653560 -99.000000 -6.886230 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.8227730721437366D-13 log_rel_run_E_err -10.1061357332479069 (age_target - star_age)/age_sigma 470 0.9960161640 remaining steps and years until age target 470 10 6.4741050658054352D+06 (age_target - star_age)/age_sigma 471 0.8964145476 remaining steps and years until age target 471 9 5.8266945592250824D+06 (age_target - star_age)/age_sigma 472 0.7968129312 remaining steps and years until age target 472 8 5.1792840526447296D+06 (age_target - star_age)/age_sigma 473 0.6972113148 reducing max timestep prior to age target 473 4.5318735460634232D+06 (age_target - star_age)/age_sigma 474 0.5976096984 remaining steps and years until age target 474 6 3.8844630394830704D+06 (age_target - star_age)/age_sigma 475 0.4980080820 remaining steps and years until age target 475 5 3.2370525329027176D+06 (age_target - star_age)/age_sigma 476 0.3984064656 remaining steps and years until age target 476 4 2.5896420263223648D+06 (age_target - star_age)/age_sigma 477 0.2988048492 reducing max timestep prior to age target 477 1.9422315197410583D+06 (age_target - star_age)/age_sigma 478 0.1992032328 remaining steps and years until age target 478 2 1.2948210131607056D+06 (age_target - star_age)/age_sigma 479 0.0996016164 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 -99.000000 -99.000000 -6.886374 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.7218109744891560D-13 log_rel_run_E_err -10.0964497933934432 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 2.66 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 -99.000000 -99.000000 -6.886374 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.7218109744891560D-13 log_rel_run_E_err -10.0964497933934432 Teff 5618.7368615162 radius 1.0010042019 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1.0084215516 M_H 0.0039078812 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 15.2715351344 log_R 0.0004359005 delta_nu 141.3127210040 nu_max 3113.4409185998 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 333338.7599855620 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 "13a2611" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251021" "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 3.3333875998556201E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615162122E+03 1.0010042019476011E+00 3.9078811566418551E-03 4.3590053508908092E-04 1.4131272100395103E+02 3.1134409185997783E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998556201E+05 0 0 0 0 0 0 0 4 3.3337679267851473E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620722725E+03 1.0114129281999173E+00 3.5086385926359043E-04 4.9285006214226787E-03 1.3913658568072702E+02 3.0234851123037161E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851473E+05 0 0 0 0 0 0 0 1 3.3351283960191300E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763063E+03 1.0231407131233186E+00 -1.7395981959431566E-03 9.9353665865348391E-03 1.3680762272707946E+02 2.9640776267836432E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191300E+05 0 0 0 0 0 0 0 3 3.3365606602480775E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367150E+03 1.0099970103006384E+00 2.9466215560743837E-02 4.3200882263484969E-03 1.3947582155334737E+02 3.0536692076812378E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602480775E+05 0 0 0 0 0 0 0 2 3.3468070564326044E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399268864E+03 1.0622782375813318E+00 -1.2788199777319889E-02 2.6238284372292867E-02 1.2938435093834747E+02 2.7294282123459179E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326044E+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 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -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 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -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 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -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 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -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 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 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 3.9562811873924580D-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 1.8246326219905981D-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 -21.674160 -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 2.4692961186459535D-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 2.6324298258001727D-13 log_rel_run_E_err -11.5732923211014125 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 -99.000000 -99.000000 -6.898682 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7032742542569575D-13 log_rel_run_E_err -11.2696181878830082 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 2.6454801133692659D-13 log_rel_run_E_err -11.0948192860774686 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 2.5541280769454030D-13 log_rel_run_E_err -10.9709369010797069 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 -99.000000 -99.000000 -6.900290 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7703899494326829D-13 log_rel_run_E_err -10.8719343459285298 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 2.4441323562167717D-13 log_rel_run_E_err -10.7935728684367316 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 -20.470040 -99.000000 -6.899973 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5503966223742089D-13 log_rel_run_E_err -10.7272604581085496 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 -99.000000 -99.000000 -6.899954 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.9773100074859740D-13 log_rel_run_E_err -10.6692326516415754 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 -99.000000 -99.000000 -6.899918 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 4.4164041595002656D-13 log_rel_run_E_err -10.5744366702069268 __________________________________________________________________________________________________________________________________________________ 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 -20.293948 -99.000000 -6.899769 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5124555345943651D-13 log_rel_run_E_err -10.5343590234856119 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 -20.771070 -99.000000 -6.898850 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6933255639030873D-13 log_rel_run_E_err -10.4969550515658607 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 -99.000000 -99.000000 -6.893241 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.3998452768055336D-15 log_rel_run_E_err -10.4702826406984997 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 2.6719327383888931D-13 log_rel_run_E_err -10.4170838477393151 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 4.6215253487282730D-12 log_rel_run_E_err -10.3494808819052597 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 -99.000000 -99.000000 -6.658262 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr rel_E_err 2.3534028822859971D-13 log_rel_run_E_err -10.4576693693971645 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 -99.000000 -99.000000 -6.778611 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr rel_E_err 1.9432871758311287D-13 log_rel_run_E_err -10.5777850723361588 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 -15.477469 -99.000000 -6.824534 0.000000 0.002361 0.001838 0.017740 0.000E+00 max increase rel_E_err 1.9017007035777913D-13 log_rel_run_E_err -10.6843257715555673 (age_target - star_age)/age_sigma 173 694.7474824434 reducing max timestep prior to age target 173 4.5158586358818245D+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 -15.954590 -99.000000 -6.818386 0.000000 0.000055 0.001839 0.018137 0.000E+00 max increase rel_E_err 1.8230112440449800D-13 log_rel_run_E_err -10.6480493374175484 (age_target - star_age)/age_sigma 180 680.4785088609 reducing max timestep prior to age target 180 4.4231103075959120D+09 (age_target - star_age)/age_sigma 183 666.0693698396 reducing max timestep prior to age target 183 4.3294509039574146D+09 (age_target - star_age)/age_sigma 185 651.0205283826 reducing max timestep prior to age target 185 4.2316334344870548D+09 (age_target - star_age)/age_sigma 187 629.3501966846 reducing max timestep prior to age target 187 4.0907762784497356D+09 (age_target - star_age)/age_sigma 188 617.0312528269 reducing max timestep prior to age target 188 4.0107031433747563D+09 (age_target - star_age)/age_sigma 189 604.9586878464 reducing max timestep prior to age target 189 3.9322314710012760D+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 1.8722528032112699D-13 log_rel_run_E_err -10.6141007898650095 (age_target - star_age)/age_sigma 190 593.1275741654 reducing max timestep prior to age target 190 3.8553292320752659D+09 (age_target - star_age)/age_sigma 191 581.5330827581 reducing max timestep prior to age target 191 3.7799650379277754D+09 (age_target - star_age)/age_sigma 192 570.1704811790 reducing max timestep prior to age target 192 3.7061081276632352D+09 (age_target - star_age)/age_sigma 193 559.0351316314 reducing max timestep prior to age target 193 3.6337283556039858D+09 (age_target - star_age)/age_sigma 194 548.1224890748 reducing max timestep prior to age target 194 3.5627961789859209D+09 (age_target - star_age)/age_sigma 195 537.4280993693 reducing max timestep prior to age target 195 3.4932826459002180D+09 (age_target - star_age)/age_sigma 196 526.9475974579 reducing max timestep prior to age target 196 3.4251593834762287D+09 (age_target - star_age)/age_sigma 197 516.6767055847 reducing max timestep prior to age target 197 3.3583985863007193D+09 (age_target - star_age)/age_sigma 198 506.6112315490 reducing max timestep prior to age target 198 3.2929730050687199D+09 (age_target - star_age)/age_sigma 199 496.7470669941 reducing max timestep prior to age target 199 3.2288559354613609D+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 -15.954590 -99.000000 -6.847100 0.000000 0.000014 0.001855 0.018309 0.000E+00 max_dt rel_E_err 1.9169467954156575D-13 log_rel_run_E_err -10.5828629738670550 (age_target - star_age)/age_sigma 200 487.0801857302 reducing max timestep prior to age target 200 3.1660212072461491D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 477.6066420916 reducing max timestep prior to age target 201 3.1044431735952411D+09 (age_target - star_age)/age_sigma 202 468.3225693257 reducing max timestep prior to age target 202 3.0440967006173515D+09 (age_target - star_age)/age_sigma 203 459.2241780152 reducing max timestep prior to age target 203 2.9849571570990195D+09 (age_target - star_age)/age_sigma 204 450.3077545309 reducing max timestep prior to age target 204 2.9270004044510546D+09 (age_target - star_age)/age_sigma 205 441.5696595163 reducing max timestep prior to age target 205 2.8702027868560486D+09 (age_target - star_age)/age_sigma 206 433.0063264020 reducing max timestep prior to age target 206 2.8145411216129427D+09 (age_target - star_age)/age_sigma 207 424.6142599500 reducing max timestep prior to age target 207 2.7599926896746988D+09 (age_target - star_age)/age_sigma 208 416.3900348270 reducing max timestep prior to age target 208 2.7065352263752203D+09 (age_target - star_age)/age_sigma 209 408.3302942064 reducing max timestep prior to age target 209 2.6541469123417311D+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 -99.000000 -99.000000 -6.860073 0.000000 0.000015 0.001863 0.018379 0.000E+00 max_dt rel_E_err 1.8786467984309214D-13 log_rel_run_E_err -10.5531150214154241 (age_target - star_age)/age_sigma 210 400.4317483983 reducing max timestep prior to age target 210 2.6028063645889115D+09 (age_target - star_age)/age_sigma 211 392.6911735063 reducing max timestep prior to age target 211 2.5524926277911482D+09 (age_target - star_age)/age_sigma 212 385.1054101122 reducing max timestep prior to age target 212 2.5031851657293406D+09 (age_target - star_age)/age_sigma 213 377.6713619860 reducing max timestep prior to age target 213 2.4548638529087687D+09 (age_target - star_age)/age_sigma 214 370.3859948222 reducing max timestep prior to age target 214 2.4075089663446088D+09 (age_target - star_age)/age_sigma 215 363.2463350018 reducing max timestep prior to age target 215 2.3611011775117316D+09 (age_target - star_age)/age_sigma 216 356.2494683778 reducing max timestep prior to age target 216 2.3156215444555120D+09 (age_target - star_age)/age_sigma 217 349.3925390862 reducing max timestep prior to age target 217 2.2710515040604172D+09 (age_target - star_age)/age_sigma 218 342.6727483805 reducing max timestep prior to age target 218 2.2273728644732242D+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 2.0361902952974629D-13 log_rel_run_E_err -10.5253502400067713 (age_target - star_age)/age_sigma 220 329.5019585973 reducing max timestep prior to age target 220 2.1417627308823261D+09 (age_target - star_age)/age_sigma 221 323.0482716035 reducing max timestep prior to age target 221 2.0998137654227862D+09 (age_target - star_age)/age_sigma 222 316.7236583496 reducing max timestep prior to age target 222 2.0587037792724366D+09 (age_target - star_age)/age_sigma 223 310.5255373608 reducing max timestep prior to age target 223 2.0184159928450937D+09 (age_target - star_age)/age_sigma 224 304.4513787917 reducing max timestep prior to age target 224 1.9789339621462979D+09 (age_target - star_age)/age_sigma 225 298.4987033941 reducing max timestep prior to age target 225 1.9402415720614786D+09 (age_target - star_age)/age_sigma 226 292.6650815044 reducing max timestep prior to age target 226 1.9023230297783551D+09 (age_target - star_age)/age_sigma 227 286.9481320524 reducing max timestep prior to age target 227 1.8651628583408942D+09 (age_target - star_age)/age_sigma 228 281.3455215896 reducing max timestep prior to age target 228 1.8287458903321829D+09 (age_target - star_age)/age_sigma 229 275.8549633359 reducing max timestep prior to age target 229 1.7930572616836452D+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 1.8780039502159490D-13 log_rel_run_E_err -10.4985628292911599 (age_target - star_age)/age_sigma 230 270.4742162474 reducing max timestep prior to age target 230 1.7580824056080785D+09 (age_target - star_age)/age_sigma 231 265.2010841006 reducing max timestep prior to age target 231 1.7238070466540232D+09 (age_target - star_age)/age_sigma 232 260.0334145968 reducing max timestep prior to age target 232 1.6902171948790493D+09 (age_target - star_age)/age_sigma 233 254.9690984830 reducing max timestep prior to age target 233 1.6572991401395745D+09 (age_target - star_age)/age_sigma 234 250.0060686915 reducing max timestep prior to age target 234 1.6250394464948893D+09 (age_target - star_age)/age_sigma 235 245.1422994959 reducing max timestep prior to age target 235 1.5934249467230978D+09 (age_target - star_age)/age_sigma 236 240.3758056841 reducing max timestep prior to age target 236 1.5624427369467421D+09 (age_target - star_age)/age_sigma 237 235.7046417486 reducing max timestep prior to age target 237 1.5320801713659139D+09 (age_target - star_age)/age_sigma 238 231.1269010918 reducing max timestep prior to age target 238 1.5023248570967021D+09 (age_target - star_age)/age_sigma 239 226.6407152481 reducing max timestep prior to age target 239 1.4731646491128740D+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 -99.000000 -99.000000 -6.888330 0.000000 0.000016 0.001877 0.018509 0.000E+00 max_dt rel_E_err 1.8767495332697939D-13 log_rel_run_E_err -10.4737268829765000 (age_target - star_age)/age_sigma 240 222.2442531213 reducing max timestep prior to age target 240 1.4445876452887225D+09 (age_target - star_age)/age_sigma 241 217.9357202371 reducing max timestep prior to age target 241 1.4165821815410547D+09 (age_target - star_age)/age_sigma 242 213.7133580105 reducing max timestep prior to age target 242 1.3891368270683398D+09 (age_target - star_age)/age_sigma 243 209.5754430285 reducing max timestep prior to age target 243 1.3622403796850791D+09 (age_target - star_age)/age_sigma 244 205.5202863461 reducing max timestep prior to age target 244 1.3358818612494841D+09 (age_target - star_age)/age_sigma 245 201.5462327973 reducing max timestep prior to age target 245 1.3100505131826005D+09 (age_target - star_age)/age_sigma 246 197.6516603195 reducing max timestep prior to age target 246 1.2847357920770550D+09 (age_target - star_age)/age_sigma 247 193.8349792913 reducing max timestep prior to age target 247 1.2599273653936200D+09 (age_target - star_age)/age_sigma 248 190.0946318837 reducing max timestep prior to age target 248 1.2356151072438536D+09 (age_target - star_age)/age_sigma 249 186.4290914242 reducing max timestep prior to age target 249 1.2117890942570829D+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 -99.000000 -99.000000 -6.894869 0.000000 0.000017 0.001880 0.018533 0.000E+00 max_dt rel_E_err 1.9335773143923677D-13 log_rel_run_E_err -10.4507437631743780 (age_target - star_age)/age_sigma 250 182.8368617739 reducing max timestep prior to age target 250 1.1884396015300479D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.3164767165 reducing max timestep prior to age target 251 1.1655570986575532D+09 (age_target - star_age)/age_sigma 252 175.8664993604 reducing max timestep prior to age target 252 1.1431322458425083D+09 (age_target - star_age)/age_sigma 254 169.1045437423 reducing max timestep prior to age target 254 1.0991795343250198D+09 (age_target - star_age)/age_sigma 255 165.7911854895 reducing max timestep prior to age target 255 1.0776427056814508D+09 (age_target - star_age)/age_sigma 256 162.5440944017 reducing max timestep prior to age target 256 1.0565366136107535D+09 (age_target - star_age)/age_sigma 257 159.3619451356 reducing max timestep prior to age target 257 1.0358526433814697D+09 (age_target - star_age)/age_sigma 258 156.2434388549 reducing max timestep prior to age target 258 1.0155823525567718D+09 (age_target - star_age)/age_sigma 259 153.1873026998 reducing max timestep prior to age target 259 9.9571746754856777D+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 1.8802633561550810D-13 log_rel_run_E_err -10.4292896518743028 (age_target - star_age)/age_sigma 260 150.1922892678 reducing max timestep prior to age target 260 9.7624988024052763D+08 (age_target - star_age)/age_sigma 261 147.2571761044 reducing max timestep prior to age target 261 9.5717164467864895D+08 (age_target - star_age)/age_sigma 262 144.3807652043 reducing max timestep prior to age target 262 9.3847497382800722D+08 (age_target - star_age)/age_sigma 263 141.5618825222 reducing max timestep prior to age target 263 9.2015223639437819D+08 (age_target - star_age)/age_sigma 264 138.7993774938 reducing max timestep prior to age target 264 9.0219595370942211D+08 (age_target - star_age)/age_sigma 265 136.0921225659 reducing max timestep prior to age target 265 8.8459879667816496D+08 (age_target - star_age)/age_sigma 266 133.4390127365 reducing max timestep prior to age target 266 8.6735358278753328D+08 (age_target - star_age)/age_sigma 267 130.8389651038 reducing max timestep prior to age target 267 8.5045327317471409D+08 (age_target - star_age)/age_sigma 268 128.2909184237 reducing max timestep prior to age target 268 8.3389096975415134D+08 (age_target - star_age)/age_sigma 269 125.7938326772 reducing max timestep prior to age target 269 8.1765991240199947D+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 -99.000000 -99.000000 -6.904912 0.000000 0.000018 0.001885 0.018567 0.000E+00 max_dt rel_E_err 1.8232744516990564D-13 log_rel_run_E_err -10.4083067725217919 (age_target - star_age)/age_sigma 270 123.3466886457 reducing max timestep prior to age target 270 8.0175347619689083D+08 (age_target - star_age)/age_sigma 271 120.9484874948 reducing max timestep prior to age target 271 7.8616516871588469D+08 (age_target - star_age)/age_sigma 272 118.5982503668 reducing max timestep prior to age target 272 7.7088862738449812D+08 (age_target - star_age)/age_sigma 273 116.2950179815 reducing max timestep prior to age target 273 7.5591761687973928D+08 (age_target - star_age)/age_sigma 274 114.0378502439 reducing max timestep prior to age target 274 7.4124602658507633D+08 (age_target - star_age)/age_sigma 275 111.8258258610 reducing max timestep prior to age target 275 7.2686786809630585D+08 (age_target - star_age)/age_sigma 276 109.6580419657 reducing max timestep prior to age target 276 7.1277727277731133D+08 (age_target - star_age)/age_sigma 277 107.5336137484 reducing max timestep prior to age target 277 6.9896848936469650D+08 (age_target - star_age)/age_sigma 278 105.4516740954 reducing max timestep prior to age target 278 6.8543588162033415D+08 (age_target - star_age)/age_sigma 279 103.4113732355 reducing max timestep prior to age target 279 6.7217392603085852D+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 1.9385212987232735D-13 log_rel_run_E_err -10.3880713523554711 (age_target - star_age)/age_sigma 280 101.4118783928 reducing max timestep prior to age target 280 6.5917720955317259D+08 (age_target - star_age)/age_sigma 281 99.4523734469 reducing max timestep prior to age target 281 6.4644042740504074D+08 (age_target - star_age)/age_sigma 282 97.5320586000 reducing max timestep prior to age target 282 6.3395838089987135D+08 (age_target - star_age)/age_sigma 283 95.6501500500 reducing max timestep prior to age target 283 6.2172597532480526D+08 (age_target - star_age)/age_sigma 284 93.8058796710 reducing max timestep prior to age target 284 6.0973821786124086D+08 (age_target - star_age)/age_sigma 285 91.9984946995 reducing max timestep prior to age target 285 5.9799021554694700D+08 (age_target - star_age)/age_sigma 286 90.2272574275 reducing max timestep prior to age target 286 5.8647717327893925D+08 (age_target - star_age)/age_sigma 287 88.4914449010 reducing max timestep prior to age target 287 5.7519439185629177D+08 (age_target - star_age)/age_sigma 289 85.0892523489 reducing max timestep prior to age target 289 5.5308014026790333D+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 9 4.0273E+09 2.152824 -0.003582 -15.653560 -99.000000 -6.911786 0.000000 0.000018 0.001888 0.018587 0.000E+00 max_dt rel_E_err 1.8228597151731292D-13 log_rel_run_E_err -10.3688821528011577 (age_target - star_age)/age_sigma 290 83.4221779984 reducing max timestep prior to age target 290 5.4224415698959255D+08 (age_target - star_age)/age_sigma 291 81.7884451349 reducing max timestep prior to age target 291 5.3162489337684822D+08 (age_target - star_age)/age_sigma 292 80.1873869287 reducing max timestep prior to age target 292 5.2121801503635931D+08 (age_target - star_age)/age_sigma 293 78.6183498866 reducing max timestep prior to age target 293 5.1101927426267958D+08 (age_target - star_age)/age_sigma 294 77.0806935853 reducing max timestep prior to age target 294 5.0102450830447340D+08 (age_target - star_age)/age_sigma 295 75.5737904101 reducing max timestep prior to age target 295 4.9122963766543150D+08 (age_target - star_age)/age_sigma 296 74.0970252983 reducing max timestep prior to age target 296 4.8163066443917036D+08 (age_target - star_age)/age_sigma 297 72.6497954888 reducing max timestep prior to age target 297 4.7222367067743444D+08 (age_target - star_age)/age_sigma 298 71.2315102755 reducing max timestep prior to age target 298 4.6300481679093313D+08 (age_target - star_age)/age_sigma 299 69.8415907665 reducing max timestep prior to age target 299 4.5397033998216200D+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 1.9130355552363103D-13 log_rel_run_E_err -10.3505558367338857 (age_target - star_age)/age_sigma 300 68.4794696476 reducing max timestep prior to age target 300 4.4511655270956612D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.1445909511 reducing max timestep prior to age target 301 4.3643984118242264D+08 (age_target - star_age)/age_sigma 302 65.8364098286 reducing max timestep prior to age target 302 4.2793666388582134D+08 (age_target - star_age)/age_sigma 303 64.5543923285 reducing max timestep prior to age target 303 4.1960355013515234D+08 (age_target - star_age)/age_sigma 304 63.2980151784 reducing max timestep prior to age target 304 4.1143709865949726D+08 (age_target - star_age)/age_sigma 305 62.0667655713 reducing max timestep prior to age target 305 4.0343397621335459D+08 (age_target - star_age)/age_sigma 306 60.8601409563 reducing max timestep prior to age target 306 3.9559091621613503D+08 (age_target - star_age)/age_sigma 307 59.6776488337 reducing max timestep prior to age target 307 3.8790471741885996D+08 (age_target - star_age)/age_sigma 308 58.5188065535 reducing max timestep prior to age target 308 3.8037224259752989D+08 (age_target - star_age)/age_sigma 309 57.3831411189 reducing max timestep prior to age target 309 3.7299041727262640D+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 1.7979040769101872D-13 log_rel_run_E_err -10.3328788175115438 (age_target - star_age)/age_sigma 310 56.2701889930 reducing max timestep prior to age target 310 3.6575622845422173D+08 (age_target - star_age)/age_sigma 311 55.1794959096 reducing max timestep prior to age target 311 3.5866672341218424D+08 (age_target - star_age)/age_sigma 312 54.1106166878 reducing max timestep prior to age target 312 3.5171900847098827D+08 (age_target - star_age)/age_sigma 313 53.0631150506 reducing max timestep prior to age target 313 3.4491024782861614D+08 (age_target - star_age)/age_sigma 314 52.0365634460 reducing max timestep prior to age target 314 3.3823766239909124D+08 (age_target - star_age)/age_sigma 315 51.0305428736 reducing max timestep prior to age target 315 3.3169852867815685D+08 (age_target - star_age)/age_sigma 316 50.0446427126 reducing max timestep prior to age target 316 3.2529017763164139D+08 (age_target - star_age)/age_sigma 317 49.0784605548 reducing max timestep prior to age target 317 3.1900999360605621D+08 (age_target - star_age)/age_sigma 318 48.1316020402 reducing max timestep prior to age target 318 3.1285541326098251D+08 (age_target - star_age)/age_sigma 319 47.2036806958 reducing max timestep prior to age target 319 3.0682392452281046D+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 -99.000000 -99.000000 -6.918225 0.000000 0.000019 0.001891 0.018602 0.000E+00 max_dt rel_E_err 1.8227195981149280D-13 log_rel_run_E_err -10.3161713309458758 (age_target - star_age)/age_sigma 320 46.2943177784 reducing max timestep prior to age target 320 3.0091306555940151D+08 (age_target - star_age)/age_sigma 321 45.4031421193 reducing max timestep prior to age target 321 2.9512042377526093D+08 (age_target - star_age)/age_sigma 322 44.5297899734 reducing max timestep prior to age target 322 2.8944363482680321D+08 (age_target - star_age)/age_sigma 324 42.8180197674 reducing max timestep prior to age target 324 2.7831712848782587D+08 (age_target - star_age)/age_sigma 325 41.9792523664 reducing max timestep prior to age target 325 2.7286514038172722D+08 (age_target - star_age)/age_sigma 326 41.1572603135 reducing max timestep prior to age target 326 2.6752219203775024D+08 (age_target - star_age)/age_sigma 327 40.3517081016 reducing max timestep prior to age target 327 2.6228610266065216D+08 (age_target - star_age)/age_sigma 328 39.5622669340 reducing max timestep prior to age target 328 2.5715473507109737D+08 (age_target - star_age)/age_sigma 329 38.7886145897 reducing max timestep prior to age target 329 2.5212599483333302D+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 1.9047719361804380D-13 log_rel_run_E_err -10.2997611415215164 (age_target - star_age)/age_sigma 330 38.0304352924 reducing max timestep prior to age target 330 2.4719782940032482D+08 (age_target - star_age)/age_sigma 331 37.2874195809 reducing max timestep prior to age target 331 2.4236822727597618D+08 (age_target - star_age)/age_sigma 332 36.5592641837 reducing max timestep prior to age target 332 2.3763521719411373D+08 (age_target - star_age)/age_sigma 333 35.8456718944 reducing max timestep prior to age target 333 2.3299686731388950D+08 (age_target - star_age)/age_sigma 334 35.1463514510 reducing max timestep prior to age target 334 2.2845128443126965D+08 (age_target - star_age)/age_sigma 335 34.4610174164 reducing max timestep prior to age target 335 2.2399661320630169D+08 (age_target - star_age)/age_sigma 336 33.7893900624 reducing max timestep prior to age target 336 2.1963103540583324D+08 (age_target - star_age)/age_sigma 337 33.1311952556 reducing max timestep prior to age target 337 2.1535276916137409D+08 (age_target - star_age)/age_sigma 338 32.4861643449 reducing max timestep prior to age target 338 2.1116006824180412D+08 (age_target - star_age)/age_sigma 339 31.8540340524 reducing max timestep prior to age target 339 2.0705122134062576D+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 -15.051500 -99.000000 -6.920845 0.000000 0.000019 0.001892 0.018608 0.000E+00 max_dt rel_E_err 1.8070256729323404D-13 log_rel_run_E_err -10.2841732436012805 (age_target - star_age)/age_sigma 340 31.2345463658 reducing max timestep prior to age target 340 2.0302455137747192D+08 (age_target - star_age)/age_sigma 341 30.6274484329 reducing max timestep prior to age target 341 1.9907841481357956D+08 (age_target - star_age)/age_sigma 342 30.0324924586 reducing max timestep prior to age target 342 1.9521120098096561D+08 (age_target - star_age)/age_sigma 343 29.4494356038 reducing max timestep prior to age target 343 1.9142133142500401D+08 (age_target - star_age)/age_sigma 344 28.8780398862 reducing max timestep prior to age target 344 1.8770725926016140D+08 (age_target - star_age)/age_sigma 345 28.3180720829 reducing max timestep prior to age target 345 1.8406746853861618D+08 (age_target - star_age)/age_sigma 346 27.7693036356 reducing max timestep prior to age target 346 1.8050047363150215D+08 (age_target - star_age)/age_sigma 347 27.2315105573 reducing max timestep prior to age target 347 1.7700481862252903D+08 (age_target - star_age)/age_sigma 348 26.7044733406 reducing max timestep prior to age target 348 1.7357907671373653D+08 (age_target - star_age)/age_sigma 349 26.1879768682 reducing max timestep prior to age target 349 1.7022184964311981D+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 1.7495868348373103D-13 log_rel_run_E_err -10.2694217977088833 (age_target - star_age)/age_sigma 350 25.6818103252 reducing max timestep prior to age target 350 1.6693176711391449D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.1857671131 reducing max timestep prior to age target 351 1.6370748623529434D+08 (age_target - star_age)/age_sigma 352 24.6996447653 reducing max timestep prior to age target 352 1.6054769097424603D+08 (age_target - star_age)/age_sigma 353 24.2232448644 reducing max timestep prior to age target 353 1.5745109161841869D+08 (age_target - star_age)/age_sigma 354 23.7563729615 reducing max timestep prior to age target 354 1.5441642424970913D+08 (age_target - star_age)/age_sigma 355 23.2988384967 reducing max timestep prior to age target 355 1.5144245022837257D+08 (age_target - star_age)/age_sigma 356 22.8504547211 reducing max timestep prior to age target 356 1.4852795568746281D+08 (age_target - star_age)/age_sigma 358 21.9716225211 reducing max timestep prior to age target 358 1.4281554638727951D+08 (age_target - star_age)/age_sigma 359 21.5409947431 reducing max timestep prior to age target 359 1.4001646583018970D+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 1.7577965539796054D-13 log_rel_run_E_err -10.2545544868186358 (age_target - star_age)/age_sigma 360 21.1189795207 reducing max timestep prior to age target 360 1.3727336688424206D+08 (age_target - star_age)/age_sigma 361 20.7054046026 reducing max timestep prior to age target 361 1.3458512991721344D+08 (age_target - star_age)/age_sigma 362 20.3001011830 reducing max timestep prior to age target 362 1.3195065768952465D+08 (age_target - star_age)/age_sigma 363 19.9029038318 reducing max timestep prior to age target 363 1.2936887490639019D+08 (age_target - star_age)/age_sigma 364 19.5136504275 reducing max timestep prior to age target 364 1.2683872777891827D+08 (age_target - star_age)/age_sigma 365 19.1321820914 reducing max timestep prior to age target 365 1.2435918359399509D+08 (age_target - star_age)/age_sigma 366 18.7583431220 reducing max timestep prior to age target 366 1.2192923029277134D+08 (age_target - star_age)/age_sigma 367 18.3919809319 reducing max timestep prior to age target 367 1.1954787605757236D+08 (age_target - star_age)/age_sigma 368 18.0329459857 reducing max timestep prior to age target 368 1.1721414890707588D+08 (age_target - star_age)/age_sigma 369 17.6810917384 reducing max timestep prior to age target 369 1.1492709629959106D+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 -99.000000 -99.000000 -6.923273 0.000000 0.000020 0.001893 0.018612 0.000E+00 max_dt rel_E_err 1.8781451852101409D-13 log_rel_run_E_err -10.2405765836921159 (age_target - star_age)/age_sigma 370 17.3362745760 reducing max timestep prior to age target 370 1.1268578474425507D+08 (age_target - star_age)/age_sigma 371 16.9983537569 reducing max timestep prior to age target 371 1.1048929942002583D+08 (age_target - star_age)/age_sigma 372 16.6671913542 reducing max timestep prior to age target 372 1.0833674380228138D+08 (age_target - star_age)/age_sigma 373 16.3426521995 reducing max timestep prior to age target 373 1.0622723929689121D+08 (age_target - star_age)/age_sigma 374 16.0246038279 reducing max timestep prior to age target 374 1.0415992488160992D+08 (age_target - star_age)/age_sigma 375 15.7129164238 reducing max timestep prior to age target 375 1.0213395675463295D+08 (age_target - star_age)/age_sigma 376 15.4074627677 reducing max timestep prior to age target 376 1.0014850799019623D+08 (age_target - star_age)/age_sigma 377 15.1081181848 reducing max timestep prior to age target 377 9.8202768201048851D+07 (age_target - star_age)/age_sigma 378 14.8147604935 reducing max timestep prior to age target 378 9.6295943207683563D+07 (age_target - star_age)/age_sigma 379 14.5272699560 reducing max timestep prior to age target 379 9.4427254714185715D+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 -15.352530 -99.000000 -6.923813 0.000000 0.000020 0.001893 0.018613 0.000E+00 max_dt rel_E_err 1.9033425507487967D-13 log_rel_run_E_err -10.2270776654083697 (age_target - star_age)/age_sigma 380 14.2455292293 reducing max timestep prior to age target 380 9.2595939990557671D+07 (age_target - star_age)/age_sigma 381 13.9694233171 reducing max timestep prior to age target 381 9.0801251561403275D+07 (age_target - star_age)/age_sigma 382 13.6988395232 reducing max timestep prior to age target 382 8.9042456900831223D+07 (age_target - star_age)/age_sigma 383 13.4336674051 reducing max timestep prior to age target 383 8.7318838133470535D+07 (age_target - star_age)/age_sigma 384 13.1737987295 reducing max timestep prior to age target 384 8.5629691741456985D+07 (age_target - star_age)/age_sigma 385 12.9191274273 reducing max timestep prior to age target 385 8.3974328277283669D+07 (age_target - star_age)/age_sigma 386 12.6695495511 reducing max timestep prior to age target 386 8.2352072082393646D+07 (age_target - star_age)/age_sigma 387 12.4249632325 reducing max timestep prior to age target 387 8.0762261011401176D+07 (age_target - star_age)/age_sigma 388 12.1852686403 reducing max timestep prior to age target 388 7.9204246161828995D+07 (age_target - star_age)/age_sigma 389 11.9503679399 reducing max timestep prior to age target 389 7.7677391609248161D+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 -15.653560 -99.000000 -6.924255 0.000000 0.000020 0.001893 0.018614 0.000E+00 max_dt rel_E_err 1.8630152405565867D-13 log_rel_run_E_err -10.2138811941386596 (age_target - star_age)/age_sigma 390 11.7201652535 reducing max timestep prior to age target 390 7.6181074147719383D+07 (age_target - star_age)/age_sigma 391 11.4945666208 reducing max timestep prior to age target 391 7.4714683035420418D+07 (age_target - star_age)/age_sigma 392 11.2734799608 reducing max timestep prior to age target 392 7.3277619745368004D+07 (age_target - star_age)/age_sigma 394 10.8401501072 reducing max timestep prior to age target 394 7.0460975696866035D+07 (age_target - star_age)/age_sigma 395 10.6278184789 reducing max timestep prior to age target 395 6.9080820113099098D+07 (age_target - star_age)/age_sigma 396 10.4197334832 reducing max timestep prior to age target 396 6.7728267641008377D+07 (age_target - star_age)/age_sigma 397 10.2158101874 reducing max timestep prior to age target 397 6.6402766218358994D+07 (age_target - star_age)/age_sigma 398 10.0159653576 reducing max timestep prior to age target 398 6.5103774824162483D+07 (age_target - star_age)/age_sigma 399 9.8201174243 reducing max timestep prior to age target 399 6.3830763257850647D+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 -15.352530 -99.000000 -6.924621 0.000000 0.000020 0.001894 0.018614 0.000E+00 max_dt rel_E_err 1.9876519731827182D-13 log_rel_run_E_err -10.2009999218782852 (age_target - star_age)/age_sigma 400 9.6281864497 reducing max timestep prior to age target 400 6.2583211922863960D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4400940946 reducing max timestep prior to age target 401 6.1360611614577293D+07 (age_target - star_age)/age_sigma 402 9.2557635865 reducing max timestep prior to age target 402 6.0162463312457085D+07 (age_target - star_age)/age_sigma 403 9.0751196887 reducing max timestep prior to age target 403 5.8988277976378441D+07 (age_target - star_age)/age_sigma 404 8.8980886688 reducing max timestep prior to age target 404 5.7837576347021103D+07 (age_target - star_age)/age_sigma 405 8.7245982693 reducing max timestep prior to age target 405 5.6709888750251770D+07 (age_target - star_age)/age_sigma 406 8.5545776778 reducing max timestep prior to age target 406 5.5604754905417442D+07 (age_target - star_age)/age_sigma 407 8.3879574981 reducing max timestep prior to age target 407 5.4521723737480164D+07 (age_target - star_age)/age_sigma 408 8.2246697220 reducing max timestep prior to age target 408 5.3460353192901611D+07 (age_target - star_age)/age_sigma 409 8.0646477014 reducing max timestep prior to age target 409 5.2420210059214592D+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 -15.653560 -99.000000 -6.924922 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt rel_E_err 1.7232454673257702D-13 log_rel_run_E_err -10.1884565069670590 (age_target - star_age)/age_sigma 410 7.9078261213 reducing max timestep prior to age target 410 5.1400869788201332D+07 (age_target - star_age)/age_sigma 411 7.7541409727 reducing max timestep prior to age target 411 5.0401916322607994D+07 (age_target - star_age)/age_sigma 412 7.6035295271 reducing max timestep prior to age target 412 4.9422941926326752D+07 (age_target - star_age)/age_sigma 413 7.4559303105 reducing max timestep prior to age target 413 4.8463547017971039D+07 (age_target - star_age)/age_sigma 414 7.3112830781 reducing max timestep prior to age target 414 4.7523340007782936D+07 (age_target - star_age)/age_sigma 415 7.1695287904 reducing max timestep prior to age target 415 4.6601937137798309D+07 (age_target - star_age)/age_sigma 416 7.0306095885 reducing max timestep prior to age target 416 4.5698962325213432D+07 (age_target - star_age)/age_sigma 417 6.8944687706 reducing max timestep prior to age target 417 4.4814047008879662D+07 (age_target - star_age)/age_sigma 418 6.7610507691 reducing max timestep prior to age target 418 4.3946829998872757D+07 (age_target - star_age)/age_sigma 419 6.6303011275 reducing max timestep prior to age target 419 4.3096957329066277D+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 -15.352530 -99.000000 -6.925168 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt rel_E_err 1.6851134894390783D-13 log_rel_run_E_err -10.1763394167732653 (age_target - star_age)/age_sigma 420 6.5021664789 reducing max timestep prior to age target 420 4.2264082112655640D+07 (age_target - star_age)/age_sigma 421 6.3765945232 reducing max timestep prior to age target 421 4.1447864400573730D+07 (age_target - star_age)/age_sigma 422 6.2535340066 reducing max timestep prior to age target 422 4.0647971042733192D+07 (age_target - star_age)/age_sigma 423 6.1329347003 reducing max timestep prior to age target 423 3.9864075552049637D+07 (age_target - star_age)/age_sigma 424 6.0147473802 reducing max timestep prior to age target 424 3.9095857971179962D+07 (age_target - star_age)/age_sigma 425 5.8989238065 reducing max timestep prior to age target 425 3.8343004741926193D+07 (age_target - star_age)/age_sigma 426 5.7854167042 reducing max timestep prior to age target 426 3.7605208577259064D+07 (age_target - star_age)/age_sigma 428 5.5629427838 reducing max timestep prior to age target 428 3.6159128094510078D+07 (age_target - star_age)/age_sigma 429 5.4539305628 reducing max timestep prior to age target 429 3.5450548657963753D+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 -15.176439 -99.000000 -6.925370 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.8203657383465983D-13 log_rel_run_E_err -10.1642110299382704 (age_target - star_age)/age_sigma 430 5.3470985862 reducing max timestep prior to age target 430 3.4756140810147285D+07 (age_target - star_age)/age_sigma 431 5.2424032491 reducing max timestep prior to age target 431 3.4075621119287491D+07 (age_target - star_age)/age_sigma 432 5.1398018188 reducing max timestep prior to age target 432 3.3408711822244644D+07 (age_target - star_age)/age_sigma 433 5.0392524171 reducing max timestep prior to age target 433 3.2755140711143494D+07 (age_target - star_age)/age_sigma 434 4.9404435462 reducing max timestep prior to age target 434 3.2112883050140381D+07 (age_target - star_age)/age_sigma 435 4.8416346753 remaining steps and years until age target 435 49 3.1470625389138222D+07 (age_target - star_age)/age_sigma 436 4.7428258043 reducing max timestep prior to age target 436 3.0828367728135109D+07 (age_target - star_age)/age_sigma 437 4.6440169334 reducing max timestep prior to age target 437 3.0186110067131996D+07 (age_target - star_age)/age_sigma 438 4.5452080625 reducing max timestep prior to age target 438 2.9543852406128883D+07 (age_target - star_age)/age_sigma 439 4.4463991916 remaining steps and years until age target 439 45 2.8901594745126724D+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 2.0105865656166520D-13 log_rel_run_E_err -10.1527592543945140 (age_target - star_age)/age_sigma 440 4.3475903206 reducing max timestep prior to age target 440 2.8259337084123611D+07 (age_target - star_age)/age_sigma 441 4.2487814497 reducing max timestep prior to age target 441 2.7617079423120499D+07 (age_target - star_age)/age_sigma 442 4.1499725788 reducing max timestep prior to age target 442 2.6974821762117386D+07 (age_target - star_age)/age_sigma 443 4.0511637079 remaining steps and years until age target 443 41 2.6332564101115227D+07 (age_target - star_age)/age_sigma 444 3.9523548369 reducing max timestep prior to age target 444 2.5690306440112114D+07 (age_target - star_age)/age_sigma 445 3.8535459660 reducing max timestep prior to age target 445 2.5048048779109001D+07 (age_target - star_age)/age_sigma 446 3.7547370951 reducing max timestep prior to age target 446 2.4405791118105888D+07 (age_target - star_age)/age_sigma 447 3.6559282242 remaining steps and years until age target 447 37 2.3763533457103729D+07 (age_target - star_age)/age_sigma 448 3.5571193532 reducing max timestep prior to age target 448 2.3121275796100616D+07 (age_target - star_age)/age_sigma 449 3.4583104823 reducing max timestep prior to age target 449 2.2479018135097504D+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 1.7462613395489524D-13 log_rel_run_E_err -10.1417879668557411 (age_target - star_age)/age_sigma 450 3.3595016114 reducing max timestep prior to age target 450 2.1836760474094391D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2606927405 remaining steps and years until age target 451 33 2.1194502813092232D+07 (age_target - star_age)/age_sigma 452 3.1618838696 reducing max timestep prior to age target 452 2.0552245152089119D+07 (age_target - star_age)/age_sigma 453 3.0630749986 reducing max timestep prior to age target 453 1.9909987491086006D+07 (age_target - star_age)/age_sigma 454 2.9642661277 remaining steps and years until age target 454 30 1.9267729830083847D+07 (age_target - star_age)/age_sigma 455 2.8654572568 reducing max timestep prior to age target 455 1.8625472169080734D+07 (age_target - star_age)/age_sigma 456 2.7666483859 reducing max timestep prior to age target 456 1.7983214508077621D+07 (age_target - star_age)/age_sigma 457 2.6678395149 reducing max timestep prior to age target 457 1.7340956847074509D+07 (age_target - star_age)/age_sigma 458 2.5690306440 remaining steps and years until age target 458 26 1.6698699186072350D+07 (age_target - star_age)/age_sigma 459 2.4702217731 reducing max timestep prior to age target 459 1.6056441525069237D+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 -15.176439 -99.000000 -6.925891 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.9470440585917545D-13 log_rel_run_E_err -10.1307798238945654 (age_target - star_age)/age_sigma 460 2.3714129022 reducing max timestep prior to age target 460 1.5414183864066124D+07 (age_target - star_age)/age_sigma 461 2.2726040312 reducing max timestep prior to age target 461 1.4771926203063011D+07 (age_target - star_age)/age_sigma 462 2.1737951603 remaining steps and years until age target 462 22 1.4129668542060852D+07 (age_target - star_age)/age_sigma 463 2.0749862894 reducing max timestep prior to age target 463 1.3487410881057739D+07 (age_target - star_age)/age_sigma 464 1.9761774185 reducing max timestep prior to age target 464 1.2845153220054626D+07 (age_target - star_age)/age_sigma 465 1.8773685475 reducing max timestep prior to age target 465 1.2202895559051514D+07 (age_target - star_age)/age_sigma 466 1.7785596766 remaining steps and years until age target 466 18 1.1560637898049355D+07 (age_target - star_age)/age_sigma 467 1.6797508057 reducing max timestep prior to age target 467 1.0918380237046242D+07 (age_target - star_age)/age_sigma 468 1.5809419348 reducing max timestep prior to age target 468 1.0276122576043129D+07 (age_target - star_age)/age_sigma 469 1.4821330639 reducing max timestep prior to age target 469 9.6338649150400162D+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 1.8307161894690357D-13 log_rel_run_E_err -10.1201315936575007 (age_target - star_age)/age_sigma 470 1.3833241929 remaining steps and years until age target 470 14 8.9916072540378571D+06 (age_target - star_age)/age_sigma 471 1.2845153220 reducing max timestep prior to age target 471 8.3493495930347443D+06 (age_target - star_age)/age_sigma 472 1.1857064511 reducing max timestep prior to age target 472 7.7070919320316315D+06 (age_target - star_age)/age_sigma 473 1.0868975802 reducing max timestep prior to age target 473 7.0648342710285187D+06 (age_target - star_age)/age_sigma 474 0.9880887092 remaining steps and years until age target 474 10 6.4225766100263596D+06 (age_target - star_age)/age_sigma 475 0.8892798383 remaining steps and years until age target 475 9 5.7803189490242004D+06 (age_target - star_age)/age_sigma 476 0.7904709674 reducing max timestep prior to age target 476 5.1380612880210876D+06 (age_target - star_age)/age_sigma 477 0.6916620965 reducing max timestep prior to age target 477 4.4958036270179749D+06 (age_target - star_age)/age_sigma 478 0.5928532255 remaining steps and years until age target 478 6 3.8535459660158157D+06 (age_target - star_age)/age_sigma 479 0.4940443546 reducing max timestep prior to age target 479 3.2112883050127029D+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 1.8433449809080038D-13 log_rel_run_E_err -10.1096028899157790 (age_target - star_age)/age_sigma 480 0.3952354837 remaining steps and years until age target 480 4 2.5690306440105438D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2964266128 remaining steps and years until age target 481 3 1.9267729830083847D+06 (age_target - star_age)/age_sigma 482 0.1976177418 reducing max timestep prior to age target 482 1.2845153220052719D+06 (age_target - star_age)/age_sigma 483 0.0988088709 remaining steps and years until age target 483 1 6.4225766100311279D+05 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 2.50 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 1.8179561193475984D-13 log_rel_run_E_err -10.1055060286038074 Teff 5720.5979558236 radius 1.0372797593 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1389.7804563537 M_H -0.0339365458 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 1151.6891398350 log_R 0.0158959035 delta_nu 134.0243181616 nu_max 2873.5532959074 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 334180.4898653962 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 "13a2611" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251021" "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 3.3333875998556201E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615162122E+03 1.0010042019476011E+00 3.9078811566418551E-03 4.3590053508908092E-04 1.4131272100395103E+02 3.1134409185997783E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998556201E+05 0 0 0 0 0 0 0 4 3.3337679267851473E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620722725E+03 1.0114129281999173E+00 3.5086385926359043E-04 4.9285006214226787E-03 1.3913658568072702E+02 3.0234851123037161E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851473E+05 0 0 0 0 0 0 0 1 3.3351283960191300E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763063E+03 1.0231407131233186E+00 -1.7395981959431566E-03 9.9353665865348391E-03 1.3680762272707946E+02 2.9640776267836432E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191300E+05 0 0 0 0 0 0 0 3 3.3365606602480775E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367150E+03 1.0099970103006384E+00 2.9466215560743837E-02 4.3200882263484969E-03 1.3947582155334737E+02 3.0536692076812378E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602480775E+05 0 0 0 0 0 0 0 6 3.3418048986539623E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558235767E+03 1.0372797593387311E+00 -3.3936545785259578E-02 1.5895903497343482E-02 1.3402431816162124E+02 2.8735532959074199E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986539623E+05 0 0 0 0 0 0 0 2 3.3468070564326044E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399268864E+03 1.0622782375813318E+00 -1.2788199777319889E-02 2.6238284372292867E-02 1.2938435093834747E+02 2.7294282123459179E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326044E+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 4639.471 -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 1.528242 -99.000000 -99.000000 -7.746582 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 4508.650 -12.856143 -12.856143 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 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 1.478209 -28.597850 -99.000000 -7.711974 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954493 4437.392 -12.856146 -12.856146 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 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 1.450299 -99.000000 -99.000000 -7.688853 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954493 4395.006 -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 1.433464 -99.000000 -99.000000 -7.673886 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954493 4365.734 -12.856150 -12.856150 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 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 1.421732 -99.000000 -99.000000 -7.662920 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 4209.890 -12.856154 -12.856154 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395712 404 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 1.357521 -99.000000 -99.000000 -7.592268 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 4.1079070158442771D-01 20 5.954580 4200.768 -12.855014 -12.855014 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395708 398 0 7.1957E-01 5.954461 0.952700 -99.000000 -14.252880 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071359 3 1.0486E+01 -1.867261 1.353409 -99.000000 -99.000000 -7.587154 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 2.0551257635431552D-01 30 5.998587 4232.305 -12.245106 -12.245106 1.000000 1.000000 0.700000 0.001010 0.279998 -6.254381 400 0 3.5106E+00 5.998587 0.907991 -99.000000 -13.642971 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071090 3 8.2653E+03 -1.739804 1.276983 -99.000000 -99.000000 -7.548787 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128502084551243D-08 40 6.176890 4345.309 -9.876653 -9.876653 1.000000 1.000000 0.700000 0.001010 0.279974 -5.636384 415 0 4.0834E+00 6.176890 0.723486 -99.000000 -11.274513 -99.000000 0.000000 0.280000 0.009381 0.019979 0.071111 3 8.3688E+04 -1.204496 0.953749 -99.000000 -99.000000 -7.376680 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128502084551243D-08 50 6.354381 4407.728 -7.760152 -7.760152 1.000000 1.000000 0.700000 0.001010 0.279846 -5.021288 433 0 4.5919E+00 6.354381 0.541601 -99.000000 -9.157996 -99.000000 0.000000 0.280000 0.009381 0.019875 0.071124 3 3.2732E+05 -0.671785 0.614754 -99.000000 -99.000000 -7.180197 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128502528640453D-08 60 6.528261 4414.469 -5.889952 -5.889952 1.000000 1.000000 0.700000 0.001010 0.279599 -4.418069 444 0 5.1085E+00 6.528261 0.364555 -99.000000 -7.287755 -99.000000 0.000000 0.280000 0.009381 0.019715 0.071140 3 1.1232E+06 -0.149864 0.263317 -99.000000 -99.000000 -6.942595 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 4.6175044585079136D-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 6.603638 4258.237 -5.093765 -5.093765 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -4.2874E+00 6.603638 0.282481 -99.000000 -6.491527 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 10 2.5959E-04 0.094908 0.036574 -99.000000 -99.000000 -6.892820 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7001174334297925D-13 log_rel_run_E_err -11.5840558667487361 20 6.603639 4271.121 -5.093767 -5.093767 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -3.4956E+00 6.603639 0.282496 -99.000000 -6.491529 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 6 1.8669E-03 0.094909 0.041853 -20.470040 -99.000000 -6.898925 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7860213857742478D-13 log_rel_run_E_err -11.2773364836284102 30 6.603639 4272.706 -5.093770 -5.093770 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -2.7037E+00 6.603639 0.282503 -99.000000 -6.491531 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 5 1.1819E-02 0.094910 0.042512 -99.000000 -99.000000 -6.899678 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4658339205531325D-13 log_rel_run_E_err -11.1021453844061480 40 6.603640 4272.185 -5.093769 -5.093769 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -1.9119E+00 6.603640 0.282505 -99.000000 -6.491530 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 4 7.3439E-02 0.094911 0.042304 -99.000000 -99.000000 -6.899436 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6103087246494663D-13 log_rel_run_E_err -10.9773917373338659 50 6.603641 4270.681 -5.093769 -5.093769 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -1.1201E+00 6.603641 0.282494 -99.000000 -6.491530 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 5 4.5497E-01 0.094912 0.041670 -99.000000 -99.000000 -6.898716 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6747365253346076D-13 log_rel_run_E_err -10.8812180440775563 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.603641 4270.341 -5.093767 -5.093767 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106723 455 0 -3.2831E-01 6.603641 0.282490 -99.000000 -6.491529 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 2 2.8173E+00 0.094912 0.041525 -20.771070 -99.000000 -6.898552 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5693079835081512D-13 log_rel_run_E_err -10.8018940096333544 70 6.603642 4270.341 -5.093758 -5.093758 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106719 455 0 4.6351E-01 6.603642 0.282489 -99.000000 -6.491519 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 2 1.7444E+01 0.094916 0.041522 -20.771070 -99.000000 -6.898550 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6532533291484812D-13 log_rel_run_E_err -10.7362759256433993 80 6.603647 4270.336 -5.093699 -5.093699 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106693 455 0 1.2553E+00 6.603647 0.282483 -99.000000 -6.491460 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 2 1.0801E+02 0.094935 0.041508 -20.771070 -99.000000 -6.898540 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7859732597372917D-13 log_rel_run_E_err -10.6788999278886809 90 6.603680 4270.304 -5.093334 -5.093334 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106537 455 0 2.0471E+00 6.603680 0.282445 -99.000000 -6.491095 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071568 2 6.6878E+02 0.095052 0.041420 -20.771070 -99.000000 -6.898480 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.8696660712882725D-13 log_rel_run_E_err -10.6268765083769665 __________________________________________________________________________________________________________________________________________________ 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 6.603886 4270.111 -5.091077 -5.091077 1.000000 1.000000 0.711274 0.000946 0.270000 -4.105566 455 0 2.8389E+00 6.603886 0.282211 -99.000000 -6.488838 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071574 2 4.1409E+03 0.095780 0.040873 -20.470040 -99.000000 -6.898105 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7529618393949478D-13 log_rel_run_E_err -10.5802012714770211 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.605150 4268.920 -5.077208 -5.077208 1.000000 1.000000 0.711274 0.000946 0.270000 -4.099575 455 0 3.6308E+00 6.605150 0.280771 -99.000000 -6.474968 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071612 2 2.5639E+04 0.100263 0.037508 -99.000000 -99.000000 -6.895796 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.3838702636325565D-13 log_rel_run_E_err -10.5407437105556596 120 6.612583 4261.690 -4.995139 -4.995139 1.000000 1.000000 0.711274 0.000946 0.270000 -4.063318 455 0 4.4226E+00 6.612583 0.272223 -99.000000 -6.392893 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071861 3 1.5875E+05 0.127071 0.017467 -20.771070 -99.000000 -6.881990 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5399402600138166D-13 log_rel_run_E_err -10.4517844934244746 130 6.647753 4225.090 -4.593909 -4.593909 1.000000 1.000000 0.711274 0.000946 0.270000 -3.862795 456 0 5.2144E+00 6.647753 0.229805 -99.000000 -5.991631 -99.000000 0.000000 0.270000 0.008783 0.018726 0.073748 4 9.8295E+05 0.266359 -0.082353 -99.000000 -99.000000 -6.812456 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5897283750355402D-13 log_rel_run_E_err -10.2134399747609415 140 6.737769 4163.635 -3.546037 -3.546037 1.000000 1.000000 0.711271 0.000946 0.269999 -3.157255 468 0 5.8473E+00 6.737769 0.122170 -99.000000 -4.943573 -99.000000 0.000000 0.270003 0.008783 0.018726 0.083913 4 5.3364E+06 0.704641 -0.323075 -99.000000 -99.000000 -6.648059 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.5776179507779536D-13 log_rel_run_E_err -10.3154557481900468 150 6.850974 4420.780 -2.405050 -2.405050 1.000000 1.000000 0.711260 0.000946 0.269994 -2.304356 475 0 5.9705E+00 6.850974 0.048399 -99.000000 -3.801968 -99.000000 0.000000 0.270014 0.008783 0.018725 0.097270 4 1.4207E+07 1.236697 -0.366512 -99.000000 -99.000000 -6.683620 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.0215067298316273D-13 log_rel_run_E_err -10.4261754862999378 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.022221 5230.783 -1.002648 -1.002648 1.000000 1.000000 0.711132 0.000950 0.269974 -1.564994 494 0 6.0680E+00 7.022221 0.026297 -53.174313 -2.413170 -99.000000 0.000000 0.270140 0.008783 0.018724 0.101058 5 2.5986E+07 1.800086 -0.118445 -16.380559 -99.000000 -6.831622 0.000000 0.003224 0.001952 0.018728 0.000E+00 lgRho_cntr rel_E_err 1.7832365129619432D-13 log_rel_run_E_err -10.5637629244000593 (age_target - star_age)/age_sigma 169 694.5561817902 reducing max timestep prior to age target 169 4.5146151816363239D+09 170 7.130550 5501.166 -0.162808 -0.162808 1.000000 1.000000 0.709233 0.003028 0.269745 -1.723621 513 0 6.8546E+00 7.130550 -0.039346 -47.236887 -1.757790 -99.000000 0.000000 0.271738 0.008785 0.018710 0.085093 5 6.2039E+07 1.898711 -0.162179 -99.000000 -99.000000 -6.802502 0.000000 0.001444 0.001953 0.019028 0.000E+00 max increase rel_E_err 1.7989313941480530D-13 log_rel_run_E_err -10.6088794121529553 (age_target - star_age)/age_sigma 176 680.3396089223 reducing max timestep prior to age target 176 4.4222074579948921D+09 (age_target - star_age)/age_sigma 179 665.9833853526 reducing max timestep prior to age target 179 4.3288920047915993D+09 180 7.130808 5520.265 -0.145811 -0.145811 1.000000 1.000000 0.694456 0.004706 0.268187 -1.672531 503 0 7.6464E+00 7.130808 -0.034144 -47.111917 -1.800948 -99.000000 0.000000 0.286247 0.008797 0.018614 0.087471 10 2.8491E+08 1.923767 -0.145755 -99.000000 -99.000000 -6.812086 0.000000 0.000014 0.001956 0.019297 0.000E+00 max increase rel_E_err 1.8828366900060203D-13 log_rel_run_E_err -10.5795308072213921 (age_target - star_age)/age_sigma 181 650.9898085606 reducing max timestep prior to age target 181 4.2314337556438971D+09 (age_target - star_age)/age_sigma 183 629.3990579802 reducing max timestep prior to age target 183 4.0910938768712058D+09 (age_target - star_age)/age_sigma 184 617.0801141225 reducing max timestep prior to age target 184 4.0110207417962265D+09 (age_target - star_age)/age_sigma 185 605.0075491420 reducing max timestep prior to age target 185 3.9325490694227467D+09 (age_target - star_age)/age_sigma 186 593.1764354610 reducing max timestep prior to age target 186 3.8556468304967360D+09 (age_target - star_age)/age_sigma 187 581.5819440537 reducing max timestep prior to age target 187 3.7802826363492460D+09 (age_target - star_age)/age_sigma 188 570.2193424746 reducing max timestep prior to age target 188 3.7064257260847054D+09 (age_target - star_age)/age_sigma 189 559.0839929270 reducing max timestep prior to age target 189 3.6340459540254560D+09 190 7.139030 5537.897 -0.124041 -0.124041 1.000000 1.000000 0.640281 0.004747 0.263209 -1.651533 508 0 7.8508E+00 7.139030 -0.026021 -46.438995 -1.787153 -99.000000 0.000000 0.340321 0.008827 0.018301 0.091036 10 1.0064E+09 1.958707 -0.123969 -99.000000 -99.000000 -6.825176 0.000000 0.000014 0.001966 0.019398 0.000E+00 max_dt rel_E_err 2.0545913596091261D-13 log_rel_run_E_err -10.5512691617546146 (age_target - star_age)/age_sigma 190 548.1713503704 reducing max timestep prior to age target 190 3.5631137774073915D+09 (age_target - star_age)/age_sigma 191 537.4769606649 reducing max timestep prior to age target 191 3.4936002443216882D+09 (age_target - star_age)/age_sigma 192 526.9964587535 reducing max timestep prior to age target 192 3.4254769818976989D+09 (age_target - star_age)/age_sigma 193 516.7255668803 reducing max timestep prior to age target 193 3.3587161847221894D+09 (age_target - star_age)/age_sigma 194 506.6600928446 reducing max timestep prior to age target 194 3.2932906034901905D+09 (age_target - star_age)/age_sigma 195 496.7959282897 reducing max timestep prior to age target 195 3.2291735338828311D+09 (age_target - star_age)/age_sigma 196 487.1290470258 reducing max timestep prior to age target 196 3.1663388056676188D+09 (age_target - star_age)/age_sigma 197 477.6555033872 reducing max timestep prior to age target 197 3.1047607720167112D+09 (age_target - star_age)/age_sigma 198 468.3714306214 reducing max timestep prior to age target 198 3.0444142990388217D+09 (age_target - star_age)/age_sigma 199 459.2730393108 reducing max timestep prior to age target 199 2.9852747555204897D+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 7.146960 5552.417 -0.105361 -0.105361 1.000000 1.000000 0.591623 0.004789 0.258886 -1.632730 509 0 7.7631E+00 7.146960 -0.018954 -45.830936 -1.766283 -99.000000 0.000000 0.388894 0.008845 0.018030 0.094541 10 1.6422E+09 1.991285 -0.105286 -15.954590 -99.000000 -6.837011 0.000000 0.000015 0.001974 0.019484 0.000E+00 max_dt rel_E_err 1.9329334650704399D-13 log_rel_run_E_err -10.5240801612290440 (age_target - star_age)/age_sigma 200 450.3566158265 reducing max timestep prior to age target 200 2.9273180028725247D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.6185208119 reducing max timestep prior to age target 201 2.8705203852775187D+09 (age_target - star_age)/age_sigma 202 433.0551876976 reducing max timestep prior to age target 202 2.8148587200344133D+09 (age_target - star_age)/age_sigma 203 424.6631212456 reducing max timestep prior to age target 203 2.7603102880961695D+09 (age_target - star_age)/age_sigma 204 416.4388961226 reducing max timestep prior to age target 204 2.7068528247966905D+09 (age_target - star_age)/age_sigma 205 408.3791555020 reducing max timestep prior to age target 205 2.6544645107632012D+09 (age_target - star_age)/age_sigma 206 400.4806096939 reducing max timestep prior to age target 206 2.6031239630103817D+09 (age_target - star_age)/age_sigma 207 392.7400348019 reducing max timestep prior to age target 207 2.5528102262126188D+09 (age_target - star_age)/age_sigma 208 385.1542714078 reducing max timestep prior to age target 208 2.5035027641508112D+09 (age_target - star_age)/age_sigma 209 377.7202232816 reducing max timestep prior to age target 209 2.4551814513302393D+09 210 7.153874 5563.861 -0.089697 -0.089697 1.000000 1.000000 0.551257 0.004830 0.255442 -1.616129 511 0 7.6754E+00 7.153874 -0.012911 -45.321830 -1.746942 -99.000000 0.000000 0.429192 0.008850 0.017815 0.097740 10 2.1617E+09 2.019512 -0.089623 -99.000000 -99.000000 -6.847136 0.000000 0.000016 0.001981 0.019551 0.000E+00 max_dt rel_E_err 1.9036657555284937D-13 log_rel_run_E_err -10.4984135970524370 (age_target - star_age)/age_sigma 210 370.4348561179 reducing max timestep prior to age target 210 2.4078265647660789D+09 (age_target - star_age)/age_sigma 211 363.2951962974 reducing max timestep prior to age target 211 2.3614187759332018D+09 (age_target - star_age)/age_sigma 212 356.2983296734 reducing max timestep prior to age target 212 2.3159391428769827D+09 (age_target - star_age)/age_sigma 213 349.4414003818 reducing max timestep prior to age target 213 2.2713691024818878D+09 (age_target - star_age)/age_sigma 215 336.0018189704 reducing max timestep prior to age target 215 2.1840118233075018D+09 (age_target - star_age)/age_sigma 216 329.4164240788 reducing max timestep prior to age target 216 2.1412067565120525D+09 (age_target - star_age)/age_sigma 217 322.9627370850 reducing max timestep prior to age target 217 2.0992577910525126D+09 (age_target - star_age)/age_sigma 218 316.6381238311 reducing max timestep prior to age target 218 2.0581478049021630D+09 (age_target - star_age)/age_sigma 219 310.4400028423 reducing max timestep prior to age target 219 2.0178600184748206D+09 220 7.159911 5573.060 -0.076385 -0.076385 1.000000 1.000000 0.517430 0.004871 0.252519 -1.601458 512 0 7.5964E+00 7.159911 -0.007690 -44.890505 -1.729536 -99.000000 0.000000 0.462966 0.008844 0.017631 0.100655 10 2.5911E+09 2.044059 -0.076312 -99.000000 -99.000000 -6.855837 0.000000 0.000016 0.001987 0.019604 0.000E+00 max_dt rel_E_err 1.8172744051761618D-13 log_rel_run_E_err -10.4741322360785798 (age_target - star_age)/age_sigma 220 304.3658442732 reducing max timestep prior to age target 220 1.9783779877760243D+09 (age_target - star_age)/age_sigma 221 298.4131688756 reducing max timestep prior to age target 221 1.9396855976912050D+09 (age_target - star_age)/age_sigma 222 292.5795469859 reducing max timestep prior to age target 222 1.9017670554080815D+09 (age_target - star_age)/age_sigma 223 286.8625975339 reducing max timestep prior to age target 223 1.8646068839706206D+09 (age_target - star_age)/age_sigma 224 281.2599870711 reducing max timestep prior to age target 224 1.8281899159619093D+09 (age_target - star_age)/age_sigma 225 275.7694288174 reducing max timestep prior to age target 225 1.7925012873133717D+09 (age_target - star_age)/age_sigma 226 270.3886817289 reducing max timestep prior to age target 226 1.7575264312378054D+09 (age_target - star_age)/age_sigma 227 265.1155495821 reducing max timestep prior to age target 227 1.7232510722837501D+09 (age_target - star_age)/age_sigma 228 259.9478800783 reducing max timestep prior to age target 228 1.6896612205087757D+09 (age_target - star_age)/age_sigma 229 254.8835639645 reducing max timestep prior to age target 229 1.6567431657693009D+09 230 7.165128 5580.365 -0.065151 -0.065151 1.000000 1.000000 0.489207 0.004912 0.250118 -1.588664 514 0 7.5087E+00 7.165128 -0.003212 -44.526397 -1.714182 -99.000000 0.000000 0.491147 0.008831 0.017479 0.103271 10 2.9450E+09 2.065203 -0.065081 -99.000000 -99.000000 -6.863227 0.000000 0.000017 0.001992 0.019646 0.000E+00 max_dt rel_E_err 1.8437576985725993D-13 log_rel_run_E_err -10.4512118148889535 (age_target - star_age)/age_sigma 230 249.9205341730 reducing max timestep prior to age target 230 1.6244834721246157D+09 (age_target - star_age)/age_sigma 231 245.0567649774 reducing max timestep prior to age target 231 1.5928689723528242D+09 (age_target - star_age)/age_sigma 232 240.2902711656 reducing max timestep prior to age target 232 1.5618867625764685D+09 (age_target - star_age)/age_sigma 233 235.6191072301 reducing max timestep prior to age target 233 1.5315241969956403D+09 (age_target - star_age)/age_sigma 234 231.0413665733 reducing max timestep prior to age target 234 1.5017688827264285D+09 (age_target - star_age)/age_sigma 235 226.5551807296 reducing max timestep prior to age target 235 1.4726086747426004D+09 (age_target - star_age)/age_sigma 236 222.1587186028 reducing max timestep prior to age target 236 1.4440316709184489D+09 (age_target - star_age)/age_sigma 237 217.8501857186 reducing max timestep prior to age target 237 1.4160262071707811D+09 (age_target - star_age)/age_sigma 238 213.6278234920 reducing max timestep prior to age target 238 1.3885808526980662D+09 (age_target - star_age)/age_sigma 239 209.4899085100 reducing max timestep prior to age target 239 1.3616844053148055D+09 240 7.169559 5586.179 -0.055781 -0.055781 1.000000 1.000000 0.465889 0.004952 0.248138 -1.577733 516 0 7.4209E+00 7.169559 0.000567 -44.222291 -1.700900 -99.000000 0.000000 0.514432 0.008812 0.017353 0.105570 10 3.2342E+09 2.083107 -0.055712 -15.954590 -99.000000 -6.869407 0.000000 0.000017 0.001996 0.019679 0.000E+00 max_dt rel_E_err 1.9888184398887658D-13 log_rel_run_E_err -10.4293885446350814 (age_target - star_age)/age_sigma 240 205.4347518276 reducing max timestep prior to age target 240 1.3353258868792105D+09 (age_target - star_age)/age_sigma 241 201.4606982788 reducing max timestep prior to age target 241 1.3094945388123269D+09 (age_target - star_age)/age_sigma 242 197.5661258010 reducing max timestep prior to age target 242 1.2841798177067814D+09 (age_target - star_age)/age_sigma 243 193.7494447728 reducing max timestep prior to age target 243 1.2593713910233464D+09 (age_target - star_age)/age_sigma 244 190.0090973652 reducing max timestep prior to age target 244 1.2350591328735805D+09 (age_target - star_age)/age_sigma 245 186.3435569057 reducing max timestep prior to age target 245 1.2112331198868098D+09 (age_target - star_age)/age_sigma 246 182.7513272553 reducing max timestep prior to age target 246 1.1878836271597743D+09 (age_target - star_age)/age_sigma 247 179.2309421980 reducing max timestep prior to age target 247 1.1650011242872796D+09 (age_target - star_age)/age_sigma 248 175.7809648419 reducing max timestep prior to age target 248 1.1425762714722347D+09 (age_target - star_age)/age_sigma 249 172.3999870328 reducing max timestep prior to age target 249 1.1205999157134905D+09 250 7.173298 5590.741 -0.048000 -0.048000 1.000000 1.000000 0.446651 0.004989 0.246565 -1.568453 518 0 7.3332E+00 7.173298 0.003748 -43.969168 -1.689524 -99.000000 0.000000 0.533645 0.008790 0.017252 0.107571 10 3.4704E+09 2.098185 -0.047933 -99.000000 -99.000000 -6.874560 0.000000 0.000018 0.001999 0.019704 0.000E+00 max_dt rel_E_err 1.9733699847244235D-13 log_rel_run_E_err -10.4080197302751181 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 165.7732705271 reducing max timestep prior to age target 251 1.0775262584263530D+09 (age_target - star_age)/age_sigma 252 162.5261794393 reducing max timestep prior to age target 252 1.0564201663556557D+09 (age_target - star_age)/age_sigma 253 159.3440301733 reducing max timestep prior to age target 253 1.0357361961263714D+09 (age_target - star_age)/age_sigma 254 156.2255238926 reducing max timestep prior to age target 254 1.0154659053016734D+09 (age_target - star_age)/age_sigma 255 153.1693877375 reducing max timestep prior to age target 255 9.9560102029346991D+08 (age_target - star_age)/age_sigma 256 150.1743743055 reducing max timestep prior to age target 256 9.7613343298542976D+08 (age_target - star_age)/age_sigma 257 147.2392611421 reducing max timestep prior to age target 257 9.5705519742355061D+08 (age_target - star_age)/age_sigma 258 144.3628502420 reducing max timestep prior to age target 258 9.3835852657290888D+08 (age_target - star_age)/age_sigma 259 141.5439675599 reducing max timestep prior to age target 259 9.2003578913927984D+08 260 7.176502 5594.399 -0.041430 -0.041430 1.000000 1.000000 0.430473 0.005025 0.245281 -1.560459 516 0 7.2542E+00 7.176502 0.006463 -43.754680 -1.679662 -99.000000 0.000000 0.549803 0.008767 0.017170 0.109332 10 3.6674E+09 2.111089 -0.041366 -99.000000 -99.000000 -6.878917 0.000000 0.000018 0.002001 0.019724 0.000E+00 max_dt rel_E_err 1.9669783683869303D-13 log_rel_run_E_err -10.3877856337517525 (age_target - star_age)/age_sigma 260 138.7814625314 reducing max timestep prior to age target 260 9.0207950645432425D+08 (age_target - star_age)/age_sigma 261 136.0742076035 reducing max timestep prior to age target 261 8.8448234942306709D+08 (age_target - star_age)/age_sigma 262 133.4210977742 reducing max timestep prior to age target 262 8.6723713553243494D+08 (age_target - star_age)/age_sigma 263 130.8210501415 reducing max timestep prior to age target 263 8.5033682591961575D+08 (age_target - star_age)/age_sigma 264 128.2730034614 reducing max timestep prior to age target 264 8.3377452249905300D+08 (age_target - star_age)/age_sigma 265 125.7759177149 reducing max timestep prior to age target 265 8.1754346514690161D+08 (age_target - star_age)/age_sigma 266 123.3287736834 reducing max timestep prior to age target 266 8.0163702894179296D+08 (age_target - star_age)/age_sigma 267 120.9305725324 reducing max timestep prior to age target 267 7.8604872146078634D+08 (age_target - star_age)/age_sigma 268 118.5803354045 reducing max timestep prior to age target 268 7.7077218012939978D+08 (age_target - star_age)/age_sigma 269 116.2771030192 reducing max timestep prior to age target 269 7.5580116962464094D+08 270 7.179182 5597.289 -0.036002 -0.036002 1.000000 1.000000 0.417156 0.005057 0.244249 -1.553744 517 0 7.1665E+00 7.179182 0.008728 -43.576903 -1.671330 -99.000000 0.000000 0.563105 0.008743 0.017104 0.110839 10 3.8284E+09 2.121872 -0.035939 -99.000000 -99.000000 -6.882528 0.000000 0.000018 0.002003 0.019739 0.000E+00 max_dt rel_E_err 1.8989888310127847D-13 log_rel_run_E_err -10.3686440093173005 (age_target - star_age)/age_sigma 270 114.0199352815 reducing max timestep prior to age target 270 7.4112957932997799D+08 (age_target - star_age)/age_sigma 271 111.8079108986 reducing max timestep prior to age target 271 7.2675142084120750D+08 (age_target - star_age)/age_sigma 272 109.6401270034 reducing max timestep prior to age target 272 7.1266082552221298D+08 (age_target - star_age)/age_sigma 273 107.5156987861 reducing max timestep prior to age target 273 6.9885204210959816D+08 (age_target - star_age)/age_sigma 274 105.4337591331 reducing max timestep prior to age target 274 6.8531943436523581D+08 (age_target - star_age)/age_sigma 275 103.3934582732 reducing max timestep prior to age target 275 6.7205747877576017D+08 (age_target - star_age)/age_sigma 276 101.3939634305 reducing max timestep prior to age target 276 6.5906076229807425D+08 (age_target - star_age)/age_sigma 277 99.4344584846 reducing max timestep prior to age target 277 6.4632398014994240D+08 (age_target - star_age)/age_sigma 278 97.5141436377 reducing max timestep prior to age target 278 6.3384193364477301D+08 (age_target - star_age)/age_sigma 279 95.6322350876 reducing max timestep prior to age target 279 6.2160952806970692D+08 280 7.181416 5599.623 -0.031521 -0.031521 1.000000 1.000000 0.406205 0.005087 0.243347 -1.548134 517 0 7.0787E+00 7.181416 0.010606 -43.429795 -1.664325 -99.000000 0.000000 0.574044 0.008720 0.017047 0.112119 6 3.9599E+09 2.130852 -0.031459 -15.653560 -99.000000 -6.885506 0.000000 0.000019 0.002005 0.019751 0.000E+00 max_dt rel_E_err 1.7865399255064532D-13 log_rel_run_E_err -10.3507319742186255 (age_target - star_age)/age_sigma 280 93.7879647086 reducing max timestep prior to age target 280 6.0962177060614204D+08 (age_target - star_age)/age_sigma 281 91.9805797372 reducing max timestep prior to age target 281 5.9787376829184818D+08 (age_target - star_age)/age_sigma 282 90.2093424652 reducing max timestep prior to age target 282 5.8636072602384043D+08 (age_target - star_age)/age_sigma 283 88.4735299386 reducing max timestep prior to age target 283 5.7507794460119295D+08 (age_target - star_age)/age_sigma 285 85.0713373866 reducing max timestep prior to age target 285 5.5296369301280451D+08 (age_target - star_age)/age_sigma 286 83.4042630361 reducing max timestep prior to age target 286 5.4212770973449373D+08 (age_target - star_age)/age_sigma 287 81.7705301726 reducing max timestep prior to age target 287 5.3150844612174988D+08 (age_target - star_age)/age_sigma 288 80.1694719663 reducing max timestep prior to age target 288 5.2110156778126049D+08 (age_target - star_age)/age_sigma 289 78.6004349242 reducing max timestep prior to age target 289 5.1090282700758076D+08 290 7.183295 5601.498 -0.027790 -0.027790 1.000000 1.000000 0.397102 0.005113 0.242614 -1.543411 517 0 6.9998E+00 7.183295 0.012180 -43.306879 -1.658400 -99.000000 0.000000 0.583137 0.008699 0.017000 0.113212 5 4.0686E+09 2.138393 -0.027729 -15.954590 -99.000000 -6.887990 0.000000 0.000019 0.002006 0.019760 0.000E+00 max_dt rel_E_err 1.7513518209961026D-13 log_rel_run_E_err -10.3333812274474059 (age_target - star_age)/age_sigma 290 77.0627786230 reducing max timestep prior to age target 290 5.0090806104937458D+08 (age_target - star_age)/age_sigma 291 75.5558754477 reducing max timestep prior to age target 291 4.9111319041033268D+08 (age_target - star_age)/age_sigma 292 74.0791103360 reducing max timestep prior to age target 292 4.8151421718407202D+08 (age_target - star_age)/age_sigma 293 72.6318805265 reducing max timestep prior to age target 293 4.7210722342233562D+08 (age_target - star_age)/age_sigma 294 71.2135953132 reducing max timestep prior to age target 294 4.6288836953583431D+08 (age_target - star_age)/age_sigma 295 69.8236758042 reducing max timestep prior to age target 295 4.5385389272706318D+08 (age_target - star_age)/age_sigma 296 68.4615546853 reducing max timestep prior to age target 296 4.4500010545446730D+08 (age_target - star_age)/age_sigma 297 67.1266759888 reducing max timestep prior to age target 297 4.3632339392732382D+08 (age_target - star_age)/age_sigma 298 65.8184948663 reducing max timestep prior to age target 298 4.2782021663072252D+08 (age_target - star_age)/age_sigma 299 64.5364773662 reducing max timestep prior to age target 299 4.1948710288005352D+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 7.184863 5602.549 -0.024705 -0.024705 1.000000 1.000000 0.389565 0.005136 0.242019 -1.539462 516 0 6.9120E+00 7.184863 0.013559 -43.204742 -1.653431 -99.000000 0.000000 0.590667 0.008680 0.016962 0.114137 5 4.1582E+09 2.144684 -0.024646 -15.954590 -99.000000 -6.889989 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.8188642701832039D-13 log_rel_run_E_err -10.3167466234574441 (age_target - star_age)/age_sigma 300 63.2801002161 reducing max timestep prior to age target 300 4.1132065140439844D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0488506090 reducing max timestep prior to age target 301 4.0331752895825577D+08 (age_target - star_age)/age_sigma 302 60.8422259940 reducing max timestep prior to age target 302 3.9547446896103621D+08 (age_target - star_age)/age_sigma 303 59.6597338713 reducing max timestep prior to age target 303 3.8778827016376114D+08 (age_target - star_age)/age_sigma 304 58.5008915911 reducing max timestep prior to age target 304 3.8025579534243107D+08 (age_target - star_age)/age_sigma 305 57.3652261565 reducing max timestep prior to age target 305 3.7287397001752806D+08 (age_target - star_age)/age_sigma 306 56.2522740306 reducing max timestep prior to age target 306 3.6563978119912291D+08 (age_target - star_age)/age_sigma 307 55.1615809472 reducing max timestep prior to age target 307 3.5855027615708590D+08 (age_target - star_age)/age_sigma 308 54.0927017255 reducing max timestep prior to age target 308 3.5160256121588945D+08 (age_target - star_age)/age_sigma 309 53.0452000882 reducing max timestep prior to age target 309 3.4479380057351732D+08 310 7.186161 5603.770 -0.022165 -0.022165 1.000000 1.000000 0.383383 0.005156 0.241538 -1.536206 516 0 6.8243E+00 7.186161 0.014639 -43.120620 -1.649300 -99.000000 0.000000 0.596844 0.008663 0.016931 0.114910 5 4.2314E+09 2.149875 -0.022107 -99.000000 -99.000000 -6.891679 0.000000 0.000019 0.002008 0.019773 0.000E+00 max_dt rel_E_err 1.9142165431654196D-13 log_rel_run_E_err -10.3006867747451736 (age_target - star_age)/age_sigma 310 52.0186484837 reducing max timestep prior to age target 310 3.3812121514399290D+08 (age_target - star_age)/age_sigma 311 51.0126279112 reducing max timestep prior to age target 311 3.3158208142305851D+08 (age_target - star_age)/age_sigma 312 50.0267277502 reducing max timestep prior to age target 312 3.2517373037654257D+08 (age_target - star_age)/age_sigma 313 49.0605455925 reducing max timestep prior to age target 313 3.1889354635095739D+08 (age_target - star_age)/age_sigma 314 48.1136870778 reducing max timestep prior to age target 314 3.1273896600588369D+08 (age_target - star_age)/age_sigma 315 47.1857657335 reducing max timestep prior to age target 315 3.0670747726771164D+08 (age_target - star_age)/age_sigma 316 46.2764028160 reducing max timestep prior to age target 316 3.0079661830430317D+08 (age_target - star_age)/age_sigma 317 45.3852271569 reducing max timestep prior to age target 317 2.9500397652016211D+08 (age_target - star_age)/age_sigma 318 44.5118750110 reducing max timestep prior to age target 318 2.8932718757170439D+08 320 7.187233 5604.753 -0.020078 -0.020078 1.000000 1.000000 0.378305 0.005173 0.241147 -1.533519 516 0 6.7453E+00 7.187233 0.015530 -43.051321 -1.645873 -99.000000 0.000000 0.601917 0.008648 0.016906 0.115555 5 4.2913E+09 2.154159 -0.020021 -15.477469 -99.000000 -6.893067 0.000000 0.000019 0.002009 0.019778 0.000E+00 max_dt rel_E_err 1.8155026142463054D-13 log_rel_run_E_err -10.2853393654103407 (age_target - star_age)/age_sigma 320 42.8001048050 reducing max timestep prior to age target 320 2.7820068123272705D+08 (age_target - star_age)/age_sigma 321 41.9613374041 reducing max timestep prior to age target 321 2.7274869312662792D+08 (age_target - star_age)/age_sigma 322 41.1393453512 reducing max timestep prior to age target 322 2.6740574478265095D+08 (age_target - star_age)/age_sigma 323 40.3337931393 reducing max timestep prior to age target 323 2.6216965540555382D+08 (age_target - star_age)/age_sigma 324 39.5443519717 reducing max timestep prior to age target 324 2.5703828781599903D+08 (age_target - star_age)/age_sigma 325 38.7706996274 reducing max timestep prior to age target 325 2.5200954757823467D+08 (age_target - star_age)/age_sigma 326 38.0125203300 reducing max timestep prior to age target 326 2.4708138214522552D+08 (age_target - star_age)/age_sigma 327 37.2695046186 reducing max timestep prior to age target 327 2.4225178002087688D+08 (age_target - star_age)/age_sigma 328 36.5413492214 reducing max timestep prior to age target 328 2.3751876993901539D+08 (age_target - star_age)/age_sigma 329 35.8277569321 reducing max timestep prior to age target 329 2.3288042005879116D+08 330 7.188132 5605.559 -0.018336 -0.018336 1.000000 1.000000 0.374068 0.005188 0.240823 -1.531267 516 0 6.6576E+00 7.188132 0.016276 -42.993347 -1.642991 -99.000000 0.000000 0.606150 0.008635 0.016886 0.116099 5 4.3412E+09 2.157749 -0.018279 -15.653560 -99.000000 -6.894226 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.7830575211300770D-13 log_rel_run_E_err -10.2700960279487390 (age_target - star_age)/age_sigma 330 35.1284364886 reducing max timestep prior to age target 330 2.2833483717617035D+08 (age_target - star_age)/age_sigma 331 34.4431024540 reducing max timestep prior to age target 331 2.2388016595120335D+08 (age_target - star_age)/age_sigma 332 33.7714751001 reducing max timestep prior to age target 332 2.1951458815073395D+08 (age_target - star_age)/age_sigma 333 33.1132802933 reducing max timestep prior to age target 333 2.1523632190627480D+08 (age_target - star_age)/age_sigma 334 32.4682493826 reducing max timestep prior to age target 334 2.1104362098670578D+08 (age_target - star_age)/age_sigma 335 31.8361190901 reducing max timestep prior to age target 335 2.0693477408552742D+08 (age_target - star_age)/age_sigma 336 31.2166314034 reducing max timestep prior to age target 336 2.0290810412237263D+08 (age_target - star_age)/age_sigma 337 30.6095334705 reducing max timestep prior to age target 337 1.9896196755848122D+08 (age_target - star_age)/age_sigma 338 30.0145774963 reducing max timestep prior to age target 338 1.9509475372586727D+08 (age_target - star_age)/age_sigma 339 29.4315206415 reducing max timestep prior to age target 339 1.9130488416990566D+08 340 7.188871 5606.208 -0.016908 -0.016908 1.000000 1.000000 0.370598 0.005200 0.240561 -1.529417 516 0 6.5699E+00 7.188871 0.016889 -42.945772 -1.640614 -99.000000 0.000000 0.609617 0.008624 0.016869 0.116550 5 4.3819E+09 2.160699 -0.016852 -15.954590 -99.000000 -6.895175 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt rel_E_err 1.6803416103026648D-13 log_rel_run_E_err -10.2554897403886525 (age_target - star_age)/age_sigma 340 28.8601249239 reducing max timestep prior to age target 340 1.8759081200506306D+08 (age_target - star_age)/age_sigma 341 28.3001571205 reducing max timestep prior to age target 341 1.8395102128351784D+08 (age_target - star_age)/age_sigma 342 27.7513886733 reducing max timestep prior to age target 342 1.8038402637640285D+08 (age_target - star_age)/age_sigma 343 27.2135955950 reducing max timestep prior to age target 343 1.7688837136743069D+08 (age_target - star_age)/age_sigma 344 26.6865583783 reducing max timestep prior to age target 344 1.7346262945863724D+08 (age_target - star_age)/age_sigma 345 26.1700619058 reducing max timestep prior to age target 345 1.7010540238802052D+08 (age_target - star_age)/age_sigma 346 25.6638953629 reducing max timestep prior to age target 346 1.6681531985881615D+08 (age_target - star_age)/age_sigma 347 25.1678521508 reducing max timestep prior to age target 347 1.6359103898019600D+08 (age_target - star_age)/age_sigma 348 24.6817298029 reducing max timestep prior to age target 348 1.6043124371914768D+08 (age_target - star_age)/age_sigma 349 24.2053299020 reducing max timestep prior to age target 349 1.5733464436332035D+08 350 7.189479 5606.732 -0.015739 -0.015739 1.000000 1.000000 0.367757 0.005211 0.240347 -1.527897 516 0 6.4821E+00 7.189479 0.017392 -42.906760 -1.638658 -99.000000 0.000000 0.612456 0.008614 0.016855 0.116923 5 4.4152E+09 2.163121 -0.015684 -99.000000 -99.000000 -6.895951 0.000000 0.000020 0.002010 0.019787 0.000E+00 max_dt rel_E_err 1.8314428266270863D-13 log_rel_run_E_err -10.2413526780729232 (age_target - star_age)/age_sigma 350 23.7384579992 reducing max timestep prior to age target 350 1.5429997699460983D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2809235343 reducing max timestep prior to age target 351 1.5132600297327328D+08 (age_target - star_age)/age_sigma 352 22.8325397588 reducing max timestep prior to age target 352 1.4841150843236351D+08 (age_target - star_age)/age_sigma 353 22.3931236588 reducing max timestep prior to age target 353 1.4555530378227234D+08 (age_target - star_age)/age_sigma 355 21.5318681028 reducing max timestep prior to age target 355 1.3995714266809273D+08 (age_target - star_age)/age_sigma 356 21.1098528803 reducing max timestep prior to age target 356 1.3721404372214508D+08 (age_target - star_age)/age_sigma 357 20.6962779623 reducing max timestep prior to age target 357 1.3452580675511551D+08 (age_target - star_age)/age_sigma 358 20.2909745427 reducing max timestep prior to age target 358 1.3189133452742767D+08 (age_target - star_age)/age_sigma 359 19.8937771914 reducing max timestep prior to age target 359 1.2930955174429321D+08 360 7.189983 5607.162 -0.014771 -0.014771 1.000000 1.000000 0.365405 0.005220 0.240170 -1.526636 516 0 6.4031E+00 7.189983 0.017809 -42.874414 -1.637031 -99.000000 0.000000 0.614806 0.008606 0.016844 0.117233 5 4.4427E+09 2.165131 -0.014716 -15.954590 -99.000000 -6.896595 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.8013513739998773D-13 log_rel_run_E_err -10.2274326331784025 (age_target - star_age)/age_sigma 360 19.5045237872 reducing max timestep prior to age target 360 1.2677940461682129D+08 (age_target - star_age)/age_sigma 361 19.1230554511 reducing max timestep prior to age target 361 1.2429986043189812D+08 (age_target - star_age)/age_sigma 362 18.7492164816 reducing max timestep prior to age target 362 1.2186990713067436D+08 (age_target - star_age)/age_sigma 363 18.3828542916 reducing max timestep prior to age target 363 1.1948855289547539D+08 (age_target - star_age)/age_sigma 364 18.0238193454 reducing max timestep prior to age target 364 1.1715482574497890D+08 (age_target - star_age)/age_sigma 365 17.6719650981 reducing max timestep prior to age target 365 1.1486777313749409D+08 (age_target - star_age)/age_sigma 366 17.3271479357 reducing max timestep prior to age target 366 1.1262646158215809D+08 (age_target - star_age)/age_sigma 367 16.9892271166 reducing max timestep prior to age target 367 1.1042997625792885D+08 (age_target - star_age)/age_sigma 368 16.6580647139 reducing max timestep prior to age target 368 1.0827742064018440D+08 (age_target - star_age)/age_sigma 369 16.3335255592 reducing max timestep prior to age target 369 1.0616791613479424D+08 370 7.190400 5607.513 -0.013972 -0.013972 1.000000 1.000000 0.363464 0.005227 0.240026 -1.525592 516 0 6.3154E+00 7.190400 0.018154 -42.847698 -1.635684 -99.000000 0.000000 0.616746 0.008600 0.016835 0.117491 5 4.4654E+09 2.166793 -0.013918 -99.000000 -99.000000 -6.897125 0.000000 0.000020 0.002011 0.019790 0.000E+00 max_dt rel_E_err 1.7968893943963919D-13 log_rel_run_E_err -10.2140743689204747 (age_target - star_age)/age_sigma 370 16.0154771876 reducing max timestep prior to age target 370 1.0410060171951294D+08 (age_target - star_age)/age_sigma 371 15.7037897835 reducing max timestep prior to age target 371 1.0207463359253597D+08 (age_target - star_age)/age_sigma 372 15.3983361274 reducing max timestep prior to age target 372 1.0008918482809925D+08 (age_target - star_age)/age_sigma 373 15.0989915445 reducing max timestep prior to age target 373 9.8143445038951874D+07 (age_target - star_age)/age_sigma 374 14.8056338532 reducing max timestep prior to age target 374 9.6236620045586586D+07 (age_target - star_age)/age_sigma 375 14.5181433157 reducing max timestep prior to age target 375 9.4367931552088737D+07 (age_target - star_age)/age_sigma 376 14.2364025890 reducing max timestep prior to age target 376 9.2536616828460693D+07 (age_target - star_age)/age_sigma 377 13.9602966768 reducing max timestep prior to age target 377 9.0741928399306297D+07 (age_target - star_age)/age_sigma 378 13.6897128829 reducing max timestep prior to age target 378 8.8983133738734245D+07 (age_target - star_age)/age_sigma 379 13.4245407648 reducing max timestep prior to age target 379 8.7259514971373558D+07 380 7.190742 5607.802 -0.013318 -0.013318 1.000000 1.000000 0.361877 0.005233 0.239900 -1.524736 516 0 6.2277E+00 7.190742 0.018436 -42.825822 -1.634578 -99.000000 0.000000 0.618332 0.008594 0.016827 0.117703 5 4.4839E+09 2.168155 -0.013264 -15.477469 -99.000000 -6.897561 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.9480532669090076D-13 log_rel_run_E_err -10.2010602287405039 (age_target - star_age)/age_sigma 380 13.1646720891 reducing max timestep prior to age target 380 8.5570368579360008D+07 (age_target - star_age)/age_sigma 381 12.9100007870 reducing max timestep prior to age target 381 8.3915005115186691D+07 (age_target - star_age)/age_sigma 382 12.6604229108 reducing max timestep prior to age target 382 8.2292748920296669D+07 (age_target - star_age)/age_sigma 383 12.4158365922 reducing max timestep prior to age target 383 8.0702937849304199D+07 (age_target - star_age)/age_sigma 384 12.1761420000 reducing max timestep prior to age target 384 7.9144922999732018D+07 (age_target - star_age)/age_sigma 385 11.9412412996 reducing max timestep prior to age target 385 7.7618068447151184D+07 (age_target - star_age)/age_sigma 386 11.7110386132 reducing max timestep prior to age target 386 7.6121750985622406D+07 (age_target - star_age)/age_sigma 387 11.4854399805 reducing max timestep prior to age target 387 7.4655359873323441D+07 (age_target - star_age)/age_sigma 388 11.2643533205 reducing max timestep prior to age target 388 7.3218296583271027D+07 (age_target - star_age)/age_sigma 389 11.0476883937 reducing max timestep prior to age target 389 7.1809974559020042D+07 390 7.191022 5608.035 -0.012783 -0.012783 1.000000 1.000000 0.360578 0.005238 0.239796 -1.524035 516 0 6.1399E+00 7.191022 0.018667 -42.807918 -1.633672 -99.000000 0.000000 0.619629 0.008589 0.016820 0.117877 5 4.4991E+09 2.169270 -0.012729 -99.000000 -99.000000 -6.897918 0.000000 0.000020 0.002011 0.019793 0.000E+00 max_dt rel_E_err 1.7965955743251584D-13 log_rel_run_E_err -10.1886283287604424 (age_target - star_age)/age_sigma 391 10.6230251372 reducing max timestep prior to age target 391 6.9049663391487122D+07 (age_target - star_age)/age_sigma 392 10.4149401414 reducing max timestep prior to age target 392 6.7697110919395447D+07 (age_target - star_age)/age_sigma 393 10.2110168457 reducing max timestep prior to age target 393 6.6371609496746063D+07 (age_target - star_age)/age_sigma 394 10.0111720158 reducing max timestep prior to age target 394 6.5072618102550507D+07 (age_target - star_age)/age_sigma 395 9.8153240825 reducing max timestep prior to age target 395 6.3799606536237717D+07 (age_target - star_age)/age_sigma 396 9.6233931079 reducing max timestep prior to age target 396 6.2552055201251984D+07 (age_target - star_age)/age_sigma 397 9.4353007528 reducing max timestep prior to age target 397 6.1329454892965317D+07 (age_target - star_age)/age_sigma 398 9.2509702447 reducing max timestep prior to age target 398 6.0131306590844154D+07 (age_target - star_age)/age_sigma 399 9.0703263469 reducing max timestep prior to age target 399 5.8957121254766464D+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 7.191256 5608.229 -0.012337 -0.012337 1.000000 1.000000 0.359495 0.005243 0.239709 -1.523450 516 0 6.0610E+00 7.191256 0.018860 -42.792971 -1.632914 -99.000000 0.000000 0.620712 0.008585 0.016815 0.118023 4 4.5117E+09 2.170201 -0.012283 -15.477469 -99.000000 -6.898215 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7900927310278154D-13 log_rel_run_E_err -10.1765777090572112 (age_target - star_age)/age_sigma 400 8.8932953270 reducing max timestep prior to age target 400 5.7806419625409126D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7198049275 reducing max timestep prior to age target 401 5.6678732028639793D+07 (age_target - star_age)/age_sigma 402 8.5497843360 reducing max timestep prior to age target 402 5.5573598183805466D+07 (age_target - star_age)/age_sigma 403 8.3831641563 reducing max timestep prior to age target 403 5.4490567015868187D+07 (age_target - star_age)/age_sigma 404 8.2198763802 reducing max timestep prior to age target 404 5.3429196471288681D+07 (age_target - star_age)/age_sigma 405 8.0598543596 reducing max timestep prior to age target 405 5.2389053337601662D+07 (age_target - star_age)/age_sigma 406 7.9030327795 reducing max timestep prior to age target 406 5.1369713066588402D+07 (age_target - star_age)/age_sigma 407 7.7493476309 reducing max timestep prior to age target 407 5.0370759600995064D+07 (age_target - star_age)/age_sigma 408 7.5987361853 reducing max timestep prior to age target 408 4.9391785204713821D+07 (age_target - star_age)/age_sigma 409 7.4511369687 reducing max timestep prior to age target 409 4.8432390296359062D+07 410 7.191447 5608.387 -0.011972 -0.011972 1.000000 1.000000 0.358609 0.005246 0.239639 -1.522971 516 0 5.9732E+00 7.191447 0.019018 -42.780743 -1.632293 -99.000000 0.000000 0.621597 0.008582 0.016810 0.118142 3 4.5220E+09 2.170964 -0.011918 -99.000000 -99.000000 -6.898458 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.9072062925460553D-13 log_rel_run_E_err -10.1646988441428281 (age_target - star_age)/age_sigma 410 7.3064897363 reducing max timestep prior to age target 410 4.7492183286170006D+07 (age_target - star_age)/age_sigma 411 7.1647354486 reducing max timestep prior to age target 411 4.6570780416185379D+07 (age_target - star_age)/age_sigma 412 7.0258162467 reducing max timestep prior to age target 412 4.5667805603600502D+07 (age_target - star_age)/age_sigma 413 6.8896754288 reducing max timestep prior to age target 413 4.4782890287267685D+07 (age_target - star_age)/age_sigma 414 6.7562574273 reducing max timestep prior to age target 414 4.3915673277260780D+07 (age_target - star_age)/age_sigma 415 6.6255077858 reducing max timestep prior to age target 415 4.3065800607454300D+07 (age_target - star_age)/age_sigma 416 6.4973731371 reducing max timestep prior to age target 416 4.2232925391043663D+07 (age_target - star_age)/age_sigma 417 6.3718011814 reducing max timestep prior to age target 417 4.1416707678961754D+07 (age_target - star_age)/age_sigma 418 6.2487406648 reducing max timestep prior to age target 418 4.0616814321121216D+07 (age_target - star_age)/age_sigma 419 6.1281413585 reducing max timestep prior to age target 419 3.9832918830437660D+07 420 7.191604 5608.515 -0.011674 -0.011674 1.000000 1.000000 0.357885 0.005249 0.239581 -1.522579 516 0 5.8855E+00 7.191604 0.019148 -42.770744 -1.631785 -99.000000 0.000000 0.622320 0.008579 0.016807 0.118240 3 4.5304E+09 2.171587 -0.011620 -15.477469 -99.000000 -6.898657 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8900819514583604D-13 log_rel_run_E_err -10.1533362223253132 (age_target - star_age)/age_sigma 420 6.0099540384 reducing max timestep prior to age target 420 3.9064701249567032D+07 (age_target - star_age)/age_sigma 421 5.8941304647 reducing max timestep prior to age target 421 3.8311848020314217D+07 (age_target - star_age)/age_sigma 422 5.7806233624 reducing max timestep prior to age target 422 3.7574051855647087D+07 (age_target - star_age)/age_sigma 423 5.6693864022 reducing max timestep prior to age target 423 3.6851011614272118D+07 (age_target - star_age)/age_sigma 425 5.4513619602 reducing max timestep prior to age target 425 3.5433852741178513D+07 (age_target - star_age)/age_sigma 426 5.3445299836 reducing max timestep prior to age target 426 3.4739444893362999D+07 (age_target - star_age)/age_sigma 427 5.2398346465 reducing max timestep prior to age target 427 3.4058925202503204D+07 (age_target - star_age)/age_sigma 428 5.1372332162 reducing max timestep prior to age target 428 3.3392015905460358D+07 (age_target - star_age)/age_sigma 429 5.0366838145 reducing max timestep prior to age target 429 3.2738444794359207D+07 430 7.191733 5608.622 -0.011427 -0.011427 1.000000 1.000000 0.357286 0.005252 0.239534 -1.522254 516 0 5.8075E+00 7.191733 0.019254 -42.762469 -1.631364 -99.000000 0.000000 0.622919 0.008577 0.016804 0.118321 3 4.5374E+09 2.172103 -0.011373 -99.000000 -99.000000 -6.898822 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8324870758263104D-13 log_rel_run_E_err -10.1421224776800027 (age_target - star_age)/age_sigma 430 4.9379253083 reducing max timestep prior to age target 430 3.2096514504273415D+07 (age_target - star_age)/age_sigma 431 4.8391668022 remaining steps and years until age target 431 49 3.1454584214188576D+07 (age_target - star_age)/age_sigma 432 4.7404082960 reducing max timestep prior to age target 432 3.0812653924102783D+07 (age_target - star_age)/age_sigma 433 4.6416497898 reducing max timestep prior to age target 433 3.0170723634016991D+07 (age_target - star_age)/age_sigma 434 4.5428912837 remaining steps and years until age target 434 46 2.9528793343932152D+07 (age_target - star_age)/age_sigma 435 4.4441327775 reducing max timestep prior to age target 435 2.8886863053846359D+07 (age_target - star_age)/age_sigma 436 4.3453742713 reducing max timestep prior to age target 436 2.8244932763760567D+07 (age_target - star_age)/age_sigma 437 4.2466157652 remaining steps and years until age target 437 43 2.7603002473675728D+07 (age_target - star_age)/age_sigma 438 4.1478572590 reducing max timestep prior to age target 438 2.6961072183589935D+07 (age_target - star_age)/age_sigma 439 4.0490987528 remaining steps and years until age target 439 41 2.6319141893505096D+07 440 7.191853 5608.720 -0.011199 -0.011199 1.000000 1.000000 0.356734 0.005254 0.239490 -1.521955 516 0 5.8075E+00 7.191853 0.019353 -42.754841 -1.630975 -99.000000 0.000000 0.623470 0.008575 0.016801 0.118396 3 4.5438E+09 2.172579 -0.011146 -99.000000 -99.000000 -6.898973 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9410979972832408D-13 log_rel_run_E_err -10.1311279865110695 (age_target - star_age)/age_sigma 440 3.9503402467 reducing max timestep prior to age target 440 2.5677211603419304D+07 (age_target - star_age)/age_sigma 441 3.8515817405 reducing max timestep prior to age target 441 2.5035281313333511D+07 (age_target - star_age)/age_sigma 442 3.7528232343 remaining steps and years until age target 442 38 2.4393351023248672D+07 (age_target - star_age)/age_sigma 443 3.6540647282 reducing max timestep prior to age target 443 2.3751420733162880D+07 (age_target - star_age)/age_sigma 444 3.5553062220 reducing max timestep prior to age target 444 2.3109490443077087D+07 (age_target - star_age)/age_sigma 445 3.4565477158 remaining steps and years until age target 445 35 2.2467560152992249D+07 (age_target - star_age)/age_sigma 446 3.3577892097 reducing max timestep prior to age target 446 2.1825629862906456D+07 (age_target - star_age)/age_sigma 447 3.2590307035 remaining steps and years until age target 447 33 2.1183699572821617D+07 (age_target - star_age)/age_sigma 448 3.1602721973 reducing max timestep prior to age target 448 2.0541769282735825D+07 (age_target - star_age)/age_sigma 449 3.0615136912 reducing max timestep prior to age target 449 1.9899838992650032D+07 450 7.191973 5608.818 -0.010972 -0.010972 1.000000 1.000000 0.356182 0.005256 0.239446 -1.521655 516 0 5.8075E+00 7.191973 0.019451 -42.747208 -1.630587 -99.000000 0.000000 0.624022 0.008573 0.016798 0.118471 3 4.5502E+09 2.173056 -0.010918 -99.000000 -99.000000 -6.899124 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8472888793140337D-13 log_rel_run_E_err -10.1207170650688436 (age_target - star_age)/age_sigma 450 2.9627551850 remaining steps and years until age target 450 30 1.9257908702565193D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8639966788 reducing max timestep prior to age target 451 1.8615978412479401D+07 (age_target - star_age)/age_sigma 452 2.7652381727 remaining steps and years until age target 452 28 1.7974048122394562D+07 (age_target - star_age)/age_sigma 453 2.6664796665 reducing max timestep prior to age target 453 1.7332117832308769D+07 (age_target - star_age)/age_sigma 454 2.5677211603 reducing max timestep prior to age target 454 1.6690187542222977D+07 (age_target - star_age)/age_sigma 455 2.4689626542 remaining steps and years until age target 455 25 1.6048257252138138D+07 (age_target - star_age)/age_sigma 456 2.3702041480 reducing max timestep prior to age target 456 1.5406326962052345D+07 (age_target - star_age)/age_sigma 457 2.2714456418 reducing max timestep prior to age target 457 1.4764396671966553D+07 (age_target - star_age)/age_sigma 458 2.1726871357 remaining steps and years until age target 458 22 1.4122466381881714D+07 (age_target - star_age)/age_sigma 459 2.0739286295 reducing max timestep prior to age target 459 1.3480536091795921D+07 460 7.192092 5608.917 -0.010744 -0.010744 1.000000 1.000000 0.355630 0.005258 0.239403 -1.521356 516 0 5.8075E+00 7.192092 0.019550 -42.739571 -1.630198 -99.000000 0.000000 0.624574 0.008571 0.016796 0.118546 3 4.5567E+09 2.173532 -0.010691 -15.653560 -99.000000 -6.899275 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8472321054060174D-13 log_rel_run_E_err -10.1103500148822381 (age_target - star_age)/age_sigma 460 1.9751701233 remaining steps and years until age target 460 20 1.2838605801711082D+07 (age_target - star_age)/age_sigma 461 1.8764116172 reducing max timestep prior to age target 461 1.2196675511625290D+07 (age_target - star_age)/age_sigma 462 1.7776531110 reducing max timestep prior to age target 462 1.1554745221539497D+07 (age_target - star_age)/age_sigma 463 1.6788946048 remaining steps and years until age target 463 17 1.0912814931454659D+07 (age_target - star_age)/age_sigma 464 1.5801360987 reducing max timestep prior to age target 464 1.0270884641368866D+07 (age_target - star_age)/age_sigma 465 1.4813775925 reducing max timestep prior to age target 465 9.6289543512830734D+06 (age_target - star_age)/age_sigma 466 1.3826190863 remaining steps and years until age target 466 14 8.9870240611982346D+06 (age_target - star_age)/age_sigma 467 1.2838605802 reducing max timestep prior to age target 467 8.3450937711124420D+06 (age_target - star_age)/age_sigma 468 1.1851020740 remaining steps and years until age target 468 12 7.7031634810276031D+06 (age_target - star_age)/age_sigma 469 1.0863435678 reducing max timestep prior to age target 469 7.0612331909418106D+06 470 7.192212 5609.015 -0.010517 -0.010517 1.000000 1.000000 0.355078 0.005261 0.239359 -1.521055 516 0 5.8075E+00 7.192212 0.019649 -42.731928 -1.629808 -99.000000 0.000000 0.625126 0.008569 0.016793 0.118622 3 4.5631E+09 2.174009 -0.010463 -15.954590 -99.000000 -6.899426 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.6937767624702206D-13 log_rel_run_E_err -10.1002276058083282 (age_target - star_age)/age_sigma 470 0.9875850617 reducing max timestep prior to age target 470 6.4193029008560181D+06 (age_target - star_age)/age_sigma 471 0.8888265555 remaining steps and years until age target 471 9 5.7773726107711792D+06 (age_target - star_age)/age_sigma 472 0.7900680493 reducing max timestep prior to age target 472 5.1354423206853867D+06 (age_target - star_age)/age_sigma 473 0.6913095432 reducing max timestep prior to age target 473 4.4935120305995941D+06 (age_target - star_age)/age_sigma 474 0.5925510370 reducing max timestep prior to age target 474 3.8515817405138016D+06 (age_target - star_age)/age_sigma 475 0.4937925308 remaining steps and years until age target 475 5 3.2096514504289627D+06 (age_target - star_age)/age_sigma 476 0.3950340247 remaining steps and years until age target 476 4 2.5677211603431702D+06 (age_target - star_age)/age_sigma 477 0.2962755185 remaining steps and years until age target 477 3 1.9257908702573776D+06 (age_target - star_age)/age_sigma 478 0.1975170123 remaining steps and years until age target 478 2 1.2838605801715851D+06 (age_target - star_age)/age_sigma 479 0.0987585062 remaining steps and years until age target 479 1 6.4193029008674622D+05 480 7.192332 5609.112 -0.010289 -0.010289 1.000000 1.000000 0.354525 0.005263 0.239316 -1.520755 516 0 5.8075E+00 7.192332 0.019747 -42.724280 -1.629418 -99.000000 0.000000 0.625678 0.008566 0.016790 0.118697 3 4.5695E+09 2.174487 -0.010235 -15.352530 -99.000000 -6.899577 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9323376622617295D-13 log_rel_run_E_err -10.0902235797609716 chi^2 combined, chi^2 seismo, chi^2 spectro 480 334070.39 0.00 334070.39 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 8 varcontrol dt limit 285 max increase dt limit 3748 lgTeff dt limit 1 lgRho_cntr dt limit 129 model saved to final.mod save photos/x480 for model 480 chi^2 combined, chi^2 seismo, chi^2 spectro 480 334070.39 0.00 334070.39 have reached age_target runtime (minutes), retries, steps 2.03 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 7.192332 5609.112 -0.010289 -0.010289 1.000000 1.000000 0.354525 0.005263 0.239316 -1.520755 516 0 5.8075E+00 7.192332 0.019747 -42.724280 -1.629418 -99.000000 0.000000 0.625678 0.008566 0.016790 0.118697 3 4.5695E+09 2.174487 -0.010235 -15.352530 -99.000000 -6.899577 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9323376622617295D-13 log_rel_run_E_err -10.0902235797609716 Teff 5609.1122770902 radius 1.0465194170 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 2164.0561576581 M_H -0.0068647779 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 47.1251749407 log_R 0.0197472906 delta_nu 132.3456575915 nu_max 2850.9534669601 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 334070.3937775329 model number 480 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 "13a2611" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251021" "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 3.3333875998556201E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615162122E+03 1.0010042019476011E+00 3.9078811566418551E-03 4.3590053508908092E-04 1.4131272100395103E+02 3.1134409185997783E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998556201E+05 0 0 0 0 0 0 0 4 3.3337679267851473E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620722725E+03 1.0114129281999173E+00 3.5086385926359043E-04 4.9285006214226787E-03 1.3913658568072702E+02 3.0234851123037161E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851473E+05 0 0 0 0 0 0 0 1 3.3351283960191300E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763063E+03 1.0231407131233186E+00 -1.7395981959431566E-03 9.9353665865348391E-03 1.3680762272707946E+02 2.9640776267836432E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191300E+05 0 0 0 0 0 0 0 3 3.3365606602480775E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367150E+03 1.0099970103006384E+00 2.9466215560743837E-02 4.3200882263484969E-03 1.3947582155334737E+02 3.0536692076812378E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602480775E+05 0 0 0 0 0 0 0 7 3.3407039377753291E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770901893E+03 1.0465194169961112E+00 -6.8647778507907320E-03 1.9747290597338950E-02 1.3234565759149217E+02 2.8509534669600862E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377753291E+05 0 0 0 0 0 0 0 6 3.3418048986539623E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558235767E+03 1.0372797593387311E+00 -3.3936545785259578E-02 1.5895903497343482E-02 1.3402431816162124E+02 2.8735532959074199E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986539623E+05 0 0 0 0 0 0 0 2 3.3468070564326044E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399268864E+03 1.0622782375813318E+00 -1.2788199777319889E-02 2.6238284372292867E-02 1.2938435093834747E+02 2.7294282123459179E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326044E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.6392348767526730D-01 -3.0382561623663529D-01 next_param_to_try initial_FeH 3 6.8730947586578453D-02 1.4551579310964097D-01 next_param_to_try alpha 4 2.1110729980017271D+00 3.7024332667242404D-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 4799.369 -12.856102 -12.856102 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 407 1 -5.0000E+00 5.954471 0.953997 -99.000000 -14.253968 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3 9.0000E-05 -1.867473 1.587425 -99.000000 -99.000000 -7.772722 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954486 4648.242 -12.856112 -12.856112 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 407 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 1.531484 -99.000000 -99.000000 -7.748454 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954486 4580.758 -12.856116 -12.856116 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 406 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 1.505862 -99.000000 -99.000000 -7.732374 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954486 4539.647 -12.856119 -12.856119 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 404 1 -5.0000E+00 5.954472 0.953634 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3 3.9000E-04 -1.867470 1.490049 -99.000000 -99.000000 -7.721077 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954487 4512.816 -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 1.479638 -99.000000 -99.000000 -7.713133 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 4377.460 -12.856122 -12.856122 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 406 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 1.425834 -28.597850 -99.000000 -7.667017 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9257588914118136D-01 20 5.954588 4371.531 -12.854789 -12.854789 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396224 403 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 1.423162 -99.000000 -99.000000 -7.664598 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.9793106812893624D-01 30 6.002517 4405.397 -12.190210 -12.190210 1.000000 1.000000 0.700000 0.001010 0.279998 -6.240818 406 0 3.4668E+00 6.002517 0.904155 -99.000000 -13.588075 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.8039E+03 -1.728030 1.338945 -99.000000 -99.000000 -7.618832 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128502179961035D-08 40 6.181571 4516.298 -9.818042 -9.818042 1.000000 1.000000 0.700000 0.001010 0.279975 -5.620212 418 0 4.0306E+00 6.181571 0.718823 -99.000000 -11.215901 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071111 3 7.4513E+04 -1.190467 1.011470 -99.000000 -99.000000 -7.438737 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501735871825D-08 50 6.359353 4568.611 -7.704148 -7.704148 1.000000 1.000000 0.700000 0.001010 0.279847 -5.004106 432 0 4.5448E+00 6.359353 0.536621 -99.000000 -9.101992 -99.000000 0.000000 0.280000 0.009381 0.019875 0.071123 3 2.9215E+05 -0.656886 0.667073 -99.000000 -99.000000 -7.239258 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128502846094849D-08 60 6.533370 4565.700 -5.837896 -5.837896 1.000000 1.000000 0.700000 0.001010 0.279522 -4.400368 449 0 5.0670E+00 6.533370 0.359428 -99.000000 -7.235696 -99.000000 0.000000 0.280000 0.009381 0.019663 0.071139 3 1.0121E+06 -0.134546 0.311579 -99.000000 -99.000000 -7.001327 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128501735871825D-08 finished relax to begin radiative core 66 1.2817245555287890D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1682140396464944D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6392348767526731D-05 initial_he4 2.6389709532649980D-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 6.620900 4310.490 -4.904162 -4.904162 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 0 -4.2919E+00 6.620900 0.262085 -99.000000 -6.301909 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071946 10 2.5712E-04 0.156464 0.016971 -20.771070 -99.000000 -6.903044 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7204446847470176D-13 log_rel_run_E_err -11.5672057578278977 solver rejected trial model s% model_number 11 s% solver_call_number 128 nz 459 s% num_retries 0 dt 1.9336979293219179D+03 log dt/secyer -4.2127153349156874D+00 retry: max residual jumped -- give up in solver 11 20 6.620903 4334.368 -4.904165 -4.904165 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 1 -3.8803E+00 6.620903 0.262121 -99.000000 -6.301912 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071946 6 9.2499E-04 0.156468 0.026639 -99.000000 -99.000000 -6.913825 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7148623766540627D-13 log_rel_run_E_err -11.2687039117912704 30 6.620911 4342.329 -4.904165 -4.904165 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 1 -3.0885E+00 6.620911 0.262169 -99.000000 -6.301913 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 5 5.0286E-03 0.156481 0.029923 -99.000000 -99.000000 -6.917384 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7483562219937472D-13 log_rel_run_E_err -11.0951556058662888 40 6.620919 4343.637 -4.904161 -4.904161 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1 -2.2967E+00 6.620919 0.262216 -99.000000 -6.301908 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 3.0437E-02 0.156493 0.030540 -20.470040 -99.000000 -6.918012 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7464954423572070D-13 log_rel_run_E_err -10.9703300696287673 50 6.620920 4344.012 -4.904160 -4.904160 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1 -1.5049E+00 6.620920 0.262225 -99.000000 -6.301907 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 1.8776E-01 0.156495 0.030708 -99.000000 -99.000000 -6.918186 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6627607629367181D-13 log_rel_run_E_err -10.8741588467244750 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.620920 4344.021 -4.904159 -4.904159 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1 -7.1305E-01 6.620920 0.262225 -99.000000 -6.301907 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 1.1619E+00 0.156495 0.030712 -20.293948 -99.000000 -6.918190 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6962542185084966D-13 log_rel_run_E_err -10.7934069329069224 70 6.620921 4344.020 -4.904156 -4.904156 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020914 459 1 7.8767E-02 6.620921 0.262225 -99.000000 -6.301903 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 7.1933E+00 0.156496 0.030711 -20.470040 -99.000000 -6.918189 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.4785420278650052D-13 log_rel_run_E_err -10.7279388201628212 80 6.620923 4344.018 -4.904133 -4.904133 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020904 459 1 8.7058E-01 6.620923 0.262223 -99.000000 -6.301881 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 4.4538E+01 0.156504 0.030705 -20.771070 -99.000000 -6.918185 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7557810522105345D-13 log_rel_run_E_err -10.6703987261832065 90 6.620935 4344.001 -4.903995 -4.903995 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020843 459 1 1.6624E+00 6.620935 0.262208 -99.000000 -6.301742 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 2.7577E+02 0.156549 0.030670 -20.072100 -99.000000 -6.918161 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.3705228686171398D-13 log_rel_run_E_err -10.6204768578956426 __________________________________________________________________________________________________________________________________________________ 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 6.621014 4343.899 -4.903137 -4.903137 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020464 459 1 2.4542E+00 6.621014 0.262118 -99.000000 -6.300884 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071948 2 1.7075E+03 0.156830 0.030449 -99.000000 -99.000000 -6.918008 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6565043294260569D-13 log_rel_run_E_err -10.5740563389542448 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.621497 4343.269 -4.897842 -4.897842 1.000000 1.000000 0.716821 0.000973 0.263923 -4.018118 459 1 3.2460E+00 6.621497 0.261563 -99.000000 -6.295589 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071964 2 1.0572E+04 0.158568 0.029087 -99.000000 -99.000000 -6.917067 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6362959787204297D-13 log_rel_run_E_err -10.5331317502892574 120 6.624428 4339.412 -4.865661 -4.865661 1.000000 1.000000 0.716821 0.000973 0.263923 -4.003720 459 1 4.0378E+00 6.624428 0.258185 -99.000000 -6.263406 -99.000000 0.000000 0.263924 0.009031 0.019255 0.072064 2 6.5461E+04 0.169180 0.020787 -99.000000 -99.000000 -6.911317 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err -2.2669559705868286D-14 log_rel_run_E_err -10.5064622655626074 130 6.640510 4317.225 -4.686498 -4.686498 1.000000 1.000000 0.716821 0.000973 0.263923 -3.918927 461 1 4.8296E+00 6.640510 0.239243 -99.000000 -6.084228 -99.000000 0.000000 0.263924 0.009031 0.019255 0.072757 3 4.0532E+05 0.229895 -0.026001 -99.000000 -99.000000 -6.878528 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6905580829576065D-13 log_rel_run_E_err -10.4582448918714928 140 6.700445 4232.653 -3.986459 -3.986459 1.000000 1.000000 0.716820 0.000973 0.263923 -3.503284 464 1 5.6215E+00 6.700445 0.164361 -99.000000 -5.384100 -99.000000 0.000000 0.263925 0.009031 0.019255 0.077908 4 2.5096E+06 0.498811 -0.210133 -99.000000 -99.000000 -6.746329 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.5557464795160414D-13 log_rel_run_E_err -10.4065305183543551 150 6.806564 4290.132 -2.824193 -2.824193 1.000000 1.000000 0.716814 0.000973 0.263921 -2.622901 473 1 5.9625E+00 6.806564 0.062652 -99.000000 -4.221426 -99.000000 0.000000 0.263931 0.009031 0.019255 0.092029 4 1.0038E+07 1.034189 -0.390120 -99.000000 -99.000000 -6.650535 0.000000 0.003319 0.002007 0.019255 0.000E+00 lgRho_cntr rel_E_err 2.1232886013472941D-13 log_rel_run_E_err -10.4187443681500795 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 6.951128 4928.559 -1.542894 -1.542894 1.000000 1.000000 0.716767 0.000973 0.263909 -1.794246 485 1 6.0530E+00 6.951128 0.014936 -99.000000 -2.939080 -99.000000 0.000000 0.263977 0.009032 0.019254 0.101700 4 2.1321E+07 1.598033 -0.244554 -99.000000 -99.000000 -6.785531 0.000000 0.003319 0.002007 0.019256 0.000E+00 lgRho_cntr rel_E_err 2.0528342363315996D-13 log_rel_run_E_err -10.5399629651698259 170 7.128288 5569.036 -0.178519 -0.178519 1.000000 1.000000 0.716126 0.001572 0.263834 -1.734175 521 1 6.5270E+00 7.128288 -0.045535 -47.402440 -1.736192 -99.000000 0.000000 0.264531 0.009032 0.019249 0.084622 5 3.9814E+07 1.889246 -0.153256 -15.653560 -99.000000 -6.818851 0.000000 0.002805 0.002008 0.019343 0.000E+00 max increase rel_E_err 2.0061663979263788D-13 log_rel_run_E_err -10.6461251083248598 (age_target - star_age)/age_sigma 173 694.6134728343 reducing max timestep prior to age target 173 4.5149875734226809D+09 180 7.125321 5544.639 -0.174278 -0.174278 1.000000 1.000000 0.709990 0.004658 0.263226 -1.684313 506 1 7.3188E+00 7.125321 -0.052097 -47.500505 -1.815910 -99.000000 0.000000 0.270212 0.009038 0.019211 0.086745 6 1.4464E+08 1.906760 -0.174008 -15.653560 -99.000000 -6.805568 0.000000 0.000164 0.002009 0.019797 0.000E+00 max increase rel_E_err 1.7780464125109738D-13 log_rel_run_E_err -10.6131995533519756 (age_target - star_age)/age_sigma 180 680.7483002880 reducing max timestep prior to age target 180 4.4248639518722057D+09 (age_target - star_age)/age_sigma 183 666.7469288776 reducing max timestep prior to age target 183 4.3338550377046261D+09 (age_target - star_age)/age_sigma 185 652.1239581211 reducing max timestep prior to age target 185 4.2388057277871885D+09 (age_target - star_age)/age_sigma 187 631.0668802317 reducing max timestep prior to age target 187 4.1019347215060787D+09 (age_target - star_age)/age_sigma 188 618.7479363740 reducing max timestep prior to age target 188 4.0218615864310989D+09 (age_target - star_age)/age_sigma 189 606.6753713935 reducing max timestep prior to age target 189 3.9433899140576191D+09 190 7.130307 5562.274 -0.155879 -0.155879 1.000000 1.000000 0.671306 0.004860 0.259983 -1.659423 506 1 7.8859E+00 7.130307 -0.045758 -47.036929 -1.819456 -99.000000 0.000000 0.308792 0.009067 0.019003 0.089556 10 7.0301E+08 1.934298 -0.155813 -99.000000 -99.000000 -6.816486 0.000000 0.000014 0.002017 0.019902 0.000E+00 max_dt rel_E_err 1.7608299806031633D-13 log_rel_run_E_err -10.5818500835502434 (age_target - star_age)/age_sigma 190 594.8442577126 reducing max timestep prior to age target 190 3.8664876751316090D+09 (age_target - star_age)/age_sigma 191 583.2497663052 reducing max timestep prior to age target 191 3.7911234809841185D+09 (age_target - star_age)/age_sigma 192 571.8871647261 reducing max timestep prior to age target 192 3.7172665707195783D+09 (age_target - star_age)/age_sigma 193 560.7518151785 reducing max timestep prior to age target 193 3.6448867986603289D+09 (age_target - star_age)/age_sigma 194 549.8391726219 reducing max timestep prior to age target 194 3.5739546220422640D+09 (age_target - star_age)/age_sigma 195 539.1447829164 reducing max timestep prior to age target 195 3.5044410889565611D+09 (age_target - star_age)/age_sigma 196 528.6642810050 reducing max timestep prior to age target 196 3.4363178265325718D+09 (age_target - star_age)/age_sigma 197 518.3933891319 reducing max timestep prior to age target 197 3.3695570293570623D+09 (age_target - star_age)/age_sigma 198 508.3279150962 reducing max timestep prior to age target 198 3.3041314481250629D+09 (age_target - star_age)/age_sigma 199 498.4637505412 reducing max timestep prior to age target 199 3.2400143785177040D+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 7.138111 5580.085 -0.136837 -0.136837 1.000000 1.000000 0.621619 0.004898 0.256105 -1.640693 510 1 7.7982E+00 7.138111 -0.039011 -46.416281 -1.800979 -99.000000 0.000000 0.358383 0.009096 0.018754 0.092951 10 1.3923E+09 1.966680 -0.136764 -99.000000 -99.000000 -6.828811 0.000000 0.000015 0.002026 0.019998 0.000E+00 max_dt rel_E_err 1.7856198008083857D-13 log_rel_run_E_err -10.5536949707615832 (age_target - star_age)/age_sigma 200 488.7968692773 reducing max timestep prior to age target 200 3.1771796503024921D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.3233256387 reducing max timestep prior to age target 201 3.1156016166515841D+09 (age_target - star_age)/age_sigma 202 470.0392528729 reducing max timestep prior to age target 202 3.0552551436736946D+09 (age_target - star_age)/age_sigma 203 460.9408615624 reducing max timestep prior to age target 203 2.9961156001553626D+09 (age_target - star_age)/age_sigma 204 452.0244380781 reducing max timestep prior to age target 204 2.9381588475073977D+09 (age_target - star_age)/age_sigma 205 443.2863430634 reducing max timestep prior to age target 205 2.8813612299123917D+09 (age_target - star_age)/age_sigma 206 434.7230099491 reducing max timestep prior to age target 206 2.8256995646692858D+09 (age_target - star_age)/age_sigma 207 426.3309434971 reducing max timestep prior to age target 207 2.7711511327310419D+09 (age_target - star_age)/age_sigma 208 418.1067183741 reducing max timestep prior to age target 208 2.7176936694315634D+09 (age_target - star_age)/age_sigma 209 410.0469777535 reducing max timestep prior to age target 209 2.6653053553980742D+09 210 7.144927 5594.339 -0.121035 -0.121035 1.000000 1.000000 0.580448 0.004934 0.252910 -1.624063 511 1 7.7105E+00 7.144927 -0.033325 -45.898426 -1.782734 -99.000000 0.000000 0.399477 0.009113 0.018548 0.096046 10 1.9555E+09 1.994797 -0.120962 -15.954590 -99.000000 -6.839310 0.000000 0.000015 0.002034 0.020075 0.000E+00 max_dt rel_E_err 1.8218268193745683D-13 log_rel_run_E_err -10.5264064495393388 (age_target - star_age)/age_sigma 210 402.1484319454 reducing max timestep prior to age target 210 2.6139648076452546D+09 (age_target - star_age)/age_sigma 211 394.4078570535 reducing max timestep prior to age target 211 2.5636510708474913D+09 (age_target - star_age)/age_sigma 212 386.8220936593 reducing max timestep prior to age target 212 2.5143436087856836D+09 (age_target - star_age)/age_sigma 214 371.9539974069 reducing max timestep prior to age target 214 2.4177009831445403D+09 (age_target - star_age)/age_sigma 215 364.6686302431 reducing max timestep prior to age target 215 2.3703460965803804D+09 (age_target - star_age)/age_sigma 216 357.5289704227 reducing max timestep prior to age target 216 2.3239383077475033D+09 (age_target - star_age)/age_sigma 217 350.5321037987 reducing max timestep prior to age target 217 2.2784586746912842D+09 (age_target - star_age)/age_sigma 218 343.6751745071 reducing max timestep prior to age target 218 2.2338886342961888D+09 (age_target - star_age)/age_sigma 219 336.9553838014 reducing max timestep prior to age target 219 2.1902099947089958D+09 220 7.150888 5605.913 -0.107600 -0.107600 1.000000 1.000000 0.545922 0.004969 0.250345 -1.609270 512 1 7.6315E+00 7.150888 -0.028403 -45.460202 -1.766136 -99.000000 0.000000 0.433941 0.009120 0.018383 0.098867 10 2.4221E+09 2.019299 -0.107527 -99.000000 -99.000000 -6.848351 0.000000 0.000016 0.002041 0.020136 0.000E+00 max_dt rel_E_err 1.7935440334996844D-13 log_rel_run_E_err -10.5004471972938660 (age_target - star_age)/age_sigma 220 330.3699889098 reducing max timestep prior to age target 220 2.1474049279135466D+09 (age_target - star_age)/age_sigma 221 323.9163019160 reducing max timestep prior to age target 221 2.1054559624540067D+09 (age_target - star_age)/age_sigma 222 317.5916886621 reducing max timestep prior to age target 222 2.0643459763036571D+09 (age_target - star_age)/age_sigma 223 311.3935676733 reducing max timestep prior to age target 223 2.0240581898763146D+09 (age_target - star_age)/age_sigma 224 305.3194091042 reducing max timestep prior to age target 224 1.9845761591775188D+09 (age_target - star_age)/age_sigma 225 299.3667337066 reducing max timestep prior to age target 225 1.9458837690926991D+09 (age_target - star_age)/age_sigma 226 293.5331118169 reducing max timestep prior to age target 226 1.9079652268095760D+09 (age_target - star_age)/age_sigma 227 287.8161623649 reducing max timestep prior to age target 227 1.8708050553721151D+09 (age_target - star_age)/age_sigma 228 282.2135519021 reducing max timestep prior to age target 228 1.8343880873634033D+09 (age_target - star_age)/age_sigma 229 276.7229936484 reducing max timestep prior to age target 229 1.7986994587148662D+09 230 7.156026 5615.030 -0.096279 -0.096279 1.000000 1.000000 0.517219 0.005003 0.248172 -1.596357 511 1 7.5438E+00 7.156026 -0.024155 -45.092042 -1.751494 -99.000000 0.000000 0.462596 0.009120 0.018243 0.101388 10 2.8058E+09 2.040354 -0.096207 -15.653560 -99.000000 -6.856082 0.000000 0.000016 0.002046 0.020185 0.000E+00 max_dt rel_E_err 1.8635002758342197D-13 log_rel_run_E_err -10.4759363941871033 (age_target - star_age)/age_sigma 230 271.3422465599 reducing max timestep prior to age target 230 1.7637246026392994D+09 (age_target - star_age)/age_sigma 231 266.0691144131 reducing max timestep prior to age target 231 1.7294492436852441D+09 (age_target - star_age)/age_sigma 232 260.9014449093 reducing max timestep prior to age target 232 1.6958593919102702D+09 (age_target - star_age)/age_sigma 233 255.8371287955 reducing max timestep prior to age target 233 1.6629413371707954D+09 (age_target - star_age)/age_sigma 234 250.8740990040 reducing max timestep prior to age target 234 1.6306816435261102D+09 (age_target - star_age)/age_sigma 235 246.0103298084 reducing max timestep prior to age target 235 1.5990671437543182D+09 (age_target - star_age)/age_sigma 236 241.2438359966 reducing max timestep prior to age target 236 1.5680849339779630D+09 (age_target - star_age)/age_sigma 237 236.5726720611 reducing max timestep prior to age target 237 1.5377223683971343D+09 (age_target - star_age)/age_sigma 238 231.9949314043 reducing max timestep prior to age target 238 1.5079670541279225D+09 (age_target - star_age)/age_sigma 239 227.5087455606 reducing max timestep prior to age target 239 1.4788068461440945D+09 240 7.160399 5622.521 -0.086828 -0.086828 1.000000 1.000000 0.493538 0.005035 0.246402 -1.585276 511 1 7.4560E+00 7.160399 -0.020588 -44.784961 -1.738822 -99.000000 0.000000 0.486238 0.009114 0.018129 0.103601 10 3.1193E+09 2.058219 -0.086758 -15.255620 -99.000000 -6.862578 0.000000 0.000017 0.002050 0.020224 0.000E+00 max_dt rel_E_err 1.9641151412917797D-13 log_rel_run_E_err -10.4528524545108787 (age_target - star_age)/age_sigma 240 223.1122834338 reducing max timestep prior to age target 240 1.4502298423199434D+09 (age_target - star_age)/age_sigma 241 218.8037505496 reducing max timestep prior to age target 241 1.4222243785722752D+09 (age_target - star_age)/age_sigma 242 214.5813883230 reducing max timestep prior to age target 242 1.3947790240995603D+09 (age_target - star_age)/age_sigma 243 210.4434733410 reducing max timestep prior to age target 243 1.3678825767163000D+09 (age_target - star_age)/age_sigma 244 206.3883166586 reducing max timestep prior to age target 244 1.3415240582807050D+09 (age_target - star_age)/age_sigma 245 202.4142631098 reducing max timestep prior to age target 245 1.3156927102138209D+09 (age_target - star_age)/age_sigma 246 198.5196906320 reducing max timestep prior to age target 246 1.2903779891082754D+09 (age_target - star_age)/age_sigma 248 190.8863285756 reducing max timestep prior to age target 248 1.2407611357414055D+09 (age_target - star_age)/age_sigma 249 187.1459811679 reducing max timestep prior to age target 249 1.2164488775916395D+09 250 7.164112 5628.538 -0.078927 -0.078927 1.000000 1.000000 0.473912 0.005064 0.244978 -1.575810 511 1 7.3771E+00 7.164112 -0.017567 -44.527964 -1.727905 -99.000000 0.000000 0.505834 0.009104 0.018036 0.105532 10 3.3769E+09 2.073349 -0.078858 -15.954590 -99.000000 -6.868038 0.000000 0.000017 0.002053 0.020254 0.000E+00 max_dt rel_E_err 1.9722253297102796D-13 log_rel_run_E_err -10.4305799062978100 (age_target - star_age)/age_sigma 250 183.4804407084 reducing max timestep prior to age target 250 1.1926228646048689D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.8882110581 reducing max timestep prior to age target 251 1.1692733718778334D+09 (age_target - star_age)/age_sigma 252 176.3678260008 reducing max timestep prior to age target 252 1.1463908690053387D+09 (age_target - star_age)/age_sigma 253 172.9178486447 reducing max timestep prior to age target 253 1.1239660161902938D+09 (age_target - star_age)/age_sigma 254 169.5368708356 reducing max timestep prior to age target 254 1.1019896604315495D+09 (age_target - star_age)/age_sigma 255 166.2235125828 reducing max timestep prior to age target 255 1.0804528317879810D+09 (age_target - star_age)/age_sigma 256 162.9764214950 reducing max timestep prior to age target 256 1.0593467397172832D+09 (age_target - star_age)/age_sigma 257 159.7942722289 reducing max timestep prior to age target 257 1.0386627694879994D+09 (age_target - star_age)/age_sigma 258 156.6757659482 reducing max timestep prior to age target 258 1.0183924786633015D+09 (age_target - star_age)/age_sigma 259 153.6196297931 reducing max timestep prior to age target 259 9.9852759365509796D+08 260 7.167276 5633.333 -0.072282 -0.072282 1.000000 1.000000 0.457521 0.005092 0.243783 -1.567703 510 1 7.2893E+00 7.167276 -0.014985 -44.311555 -1.718489 -99.000000 0.000000 0.522201 0.009092 0.017958 0.107219 10 3.5904E+09 2.086213 -0.072215 -15.954590 -99.000000 -6.872630 0.000000 0.000018 0.002056 0.020278 0.000E+00 max_dt rel_E_err 1.9721636537177534D-13 log_rel_run_E_err -10.4095488326254380 (age_target - star_age)/age_sigma 260 150.6246163611 reducing max timestep prior to age target 260 9.7906000634705734D+08 (age_target - star_age)/age_sigma 261 147.6895031977 reducing max timestep prior to age target 261 9.5998177078517866D+08 (age_target - star_age)/age_sigma 262 144.8130922976 reducing max timestep prior to age target 262 9.4128509993453693D+08 (age_target - star_age)/age_sigma 263 141.9942096155 reducing max timestep prior to age target 263 9.2296236250090790D+08 (age_target - star_age)/age_sigma 264 139.2317045871 reducing max timestep prior to age target 264 9.0500607981595182D+08 (age_target - star_age)/age_sigma 265 136.5244496592 reducing max timestep prior to age target 265 8.8740892278469467D+08 (age_target - star_age)/age_sigma 266 133.8713398299 reducing max timestep prior to age target 266 8.7016370889406300D+08 (age_target - star_age)/age_sigma 267 131.2712921971 reducing max timestep prior to age target 267 8.5326339928124380D+08 (age_target - star_age)/age_sigma 268 128.7232455170 reducing max timestep prior to age target 268 8.3670109586068106D+08 (age_target - star_age)/age_sigma 269 126.2261597705 reducing max timestep prior to age target 269 8.2047003850852919D+08 270 7.169921 5637.260 -0.066785 -0.066785 1.000000 1.000000 0.444041 0.005117 0.242812 -1.560892 510 1 7.2016E+00 7.169921 -0.012843 -44.132330 -1.710531 -99.000000 0.000000 0.535662 0.009079 0.017895 0.108660 10 3.7649E+09 2.096955 -0.066719 -15.255620 -99.000000 -6.876458 0.000000 0.000018 0.002058 0.020297 0.000E+00 max_dt rel_E_err 1.8282366924590144D-13 log_rel_run_E_err -10.3896971256748749 (age_target - star_age)/age_sigma 270 123.7790157390 reducing max timestep prior to age target 270 8.0456360230342102D+08 (age_target - star_age)/age_sigma 271 121.3808145881 reducing max timestep prior to age target 271 7.8897529482241440D+08 (age_target - star_age)/age_sigma 272 119.0305774602 reducing max timestep prior to age target 272 7.7369875349102783D+08 (age_target - star_age)/age_sigma 273 116.7273450748 reducing max timestep prior to age target 273 7.5872774298626900D+08 (age_target - star_age)/age_sigma 274 114.4701773372 reducing max timestep prior to age target 274 7.4405615269160604D+08 (age_target - star_age)/age_sigma 275 112.2581529543 reducing max timestep prior to age target 275 7.2967799420283556D+08 (age_target - star_age)/age_sigma 276 110.0903690591 reducing max timestep prior to age target 276 7.1558739888384104D+08 (age_target - star_age)/age_sigma 277 107.9659408417 reducing max timestep prior to age target 277 7.0177861547122622D+08 (age_target - star_age)/age_sigma 278 105.8840011887 reducing max timestep prior to age target 278 6.8824600772686386D+08 (age_target - star_age)/age_sigma 279 103.8437003288 reducing max timestep prior to age target 279 6.7498405213738823D+08 280 7.172142 5640.417 -0.062249 -0.062249 1.000000 1.000000 0.432963 0.005140 0.242034 -1.555173 509 1 7.1138E+00 7.172142 -0.011062 -43.984221 -1.703849 -99.000000 0.000000 0.546725 0.009065 0.017844 0.109881 10 3.9075E+09 2.105931 -0.062185 -15.954590 -99.000000 -6.879618 0.000000 0.000018 0.002060 0.020312 0.000E+00 max_dt rel_E_err 1.9559875958197260D-13 log_rel_run_E_err -10.3706664150512715 (age_target - star_age)/age_sigma 280 101.8442054861 reducing max timestep prior to age target 280 6.6198733565970230D+08 (age_target - star_age)/age_sigma 281 99.8847005402 reducing max timestep prior to age target 281 6.4925055351157045D+08 (age_target - star_age)/age_sigma 283 96.0440708463 reducing max timestep prior to age target 283 6.2428646050123167D+08 (age_target - star_age)/age_sigma 284 94.1621622963 reducing max timestep prior to age target 284 6.1205405492616510D+08 (age_target - star_age)/age_sigma 285 92.3178919173 reducing max timestep prior to age target 285 6.0006629746260023D+08 (age_target - star_age)/age_sigma 286 90.5105069459 reducing max timestep prior to age target 286 5.8831829514830685D+08 (age_target - star_age)/age_sigma 287 88.7392696739 reducing max timestep prior to age target 287 5.7680525288029909D+08 (age_target - star_age)/age_sigma 288 87.0034571473 reducing max timestep prior to age target 288 5.6552247145765162D+08 (age_target - star_age)/age_sigma 289 85.3023608713 reducing max timestep prior to age target 289 5.5446534566345739D+08 290 7.174132 5643.042 -0.058446 -0.058446 1.000000 1.000000 0.423703 0.005160 0.241391 -1.550218 509 1 7.0349E+00 7.174132 -0.009564 -43.859186 -1.698183 -99.000000 0.000000 0.555973 0.009053 0.017802 0.110918 6 4.0259E+09 2.113726 -0.058382 -99.000000 -99.000000 -6.882274 0.000000 0.000018 0.002062 0.020325 0.000E+00 max_dt rel_E_err 1.7999347618627836D-13 log_rel_run_E_err -10.3527968767031791 (age_target - star_age)/age_sigma 290 83.6352865208 reducing max timestep prior to age target 290 5.4362936238514662D+08 (age_target - star_age)/age_sigma 291 82.0015536573 reducing max timestep prior to age target 291 5.3301009877240229D+08 (age_target - star_age)/age_sigma 292 80.4004954511 reducing max timestep prior to age target 292 5.2260322043191338D+08 (age_target - star_age)/age_sigma 293 78.8314584090 reducing max timestep prior to age target 293 5.1240447965823364D+08 (age_target - star_age)/age_sigma 294 77.2938021077 reducing max timestep prior to age target 294 5.0240971370002747D+08 (age_target - star_age)/age_sigma 295 75.7868989325 reducing max timestep prior to age target 295 4.9261484306098557D+08 (age_target - star_age)/age_sigma 296 74.3101338207 reducing max timestep prior to age target 296 4.8301586983472443D+08 (age_target - star_age)/age_sigma 297 72.8629040112 reducing max timestep prior to age target 297 4.7360887607298851D+08 (age_target - star_age)/age_sigma 298 71.4446187979 reducing max timestep prior to age target 298 4.6439002218648720D+08 (age_target - star_age)/age_sigma 299 70.0546992889 reducing max timestep prior to age target 299 4.5535554537771606D+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 7.175680 5645.127 -0.055310 -0.055310 1.000000 1.000000 0.416073 0.005178 0.240840 -1.546187 509 1 6.9471E+00 7.175680 -0.008318 -43.756301 -1.693432 -99.000000 0.000000 0.563593 0.009041 0.017766 0.111803 5 4.1230E+09 2.120004 -0.055247 -15.653560 -99.000000 -6.884468 0.000000 0.000019 0.002063 0.020334 0.000E+00 max_dt rel_E_err 1.7517518447618027D-13 log_rel_run_E_err -10.3351051901149038 (age_target - star_age)/age_sigma 300 68.6925781700 reducing max timestep prior to age target 300 4.4650175810512018D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.3576994735 reducing max timestep prior to age target 301 4.3782504657797670D+08 (age_target - star_age)/age_sigma 302 66.0495183510 reducing max timestep prior to age target 302 4.2932186928137541D+08 (age_target - star_age)/age_sigma 303 64.7675008509 reducing max timestep prior to age target 303 4.2098875553070641D+08 (age_target - star_age)/age_sigma 304 63.5111237008 reducing max timestep prior to age target 304 4.1282230405505085D+08 (age_target - star_age)/age_sigma 305 62.2798740937 reducing max timestep prior to age target 305 4.0481918160890865D+08 (age_target - star_age)/age_sigma 306 61.0732494787 reducing max timestep prior to age target 306 3.9697612161168909D+08 (age_target - star_age)/age_sigma 307 59.8907573561 reducing max timestep prior to age target 307 3.8928992281441355D+08 (age_target - star_age)/age_sigma 308 58.7319150759 reducing max timestep prior to age target 308 3.8175744799308395D+08 (age_target - star_age)/age_sigma 309 57.5962496413 reducing max timestep prior to age target 309 3.7437562266818047D+08 310 7.176960 5646.812 -0.052734 -0.052734 1.000000 1.000000 0.409817 0.005193 0.240398 -1.542851 509 1 6.8594E+00 7.176960 -0.007289 -43.671621 -1.689488 -99.000000 0.000000 0.569841 0.009030 0.017737 0.112541 5 4.2024E+09 2.125189 -0.052672 -99.000000 -99.000000 -6.886268 0.000000 0.000019 0.002064 0.020342 0.000E+00 max_dt rel_E_err 1.7209651090543042D-13 log_rel_run_E_err -10.3185829231107942 (age_target - star_age)/age_sigma 310 56.4832975154 reducing max timestep prior to age target 310 3.6714143384977579D+08 (age_target - star_age)/age_sigma 311 55.3926044320 reducing max timestep prior to age target 311 3.6005192880773830D+08 (age_target - star_age)/age_sigma 312 54.3237252102 reducing max timestep prior to age target 312 3.5310421386654234D+08 (age_target - star_age)/age_sigma 313 53.2762235729 reducing max timestep prior to age target 313 3.4629545322417021D+08 (age_target - star_age)/age_sigma 314 52.2496719684 reducing max timestep prior to age target 314 3.3962286779464531D+08 (age_target - star_age)/age_sigma 315 51.2436513960 reducing max timestep prior to age target 315 3.3308373407371092D+08 (age_target - star_age)/age_sigma 316 50.2577512350 reducing max timestep prior to age target 316 3.2667538302719545D+08 (age_target - star_age)/age_sigma 318 48.3253869194 reducing max timestep prior to age target 318 3.1411501497602510D+08 (age_target - star_age)/age_sigma 319 47.3785284048 reducing max timestep prior to age target 319 3.0796043463095140D+08 320 7.178022 5648.184 -0.050608 -0.050608 1.000000 1.000000 0.404662 0.005206 0.240039 -1.540080 509 1 6.7804E+00 7.178022 -0.006438 -43.601619 -1.686204 -99.000000 0.000000 0.574990 0.009020 0.017714 0.113159 5 4.2676E+09 2.129489 -0.050546 -15.653560 -99.000000 -6.887754 0.000000 0.000019 0.002065 0.020348 0.000E+00 max_dt rel_E_err 1.8578578686607703D-13 log_rel_run_E_err -10.3027684244085798 (age_target - star_age)/age_sigma 320 46.4506070604 reducing max timestep prior to age target 320 3.0192894589277935D+08 (age_target - star_age)/age_sigma 321 45.5412441430 reducing max timestep prior to age target 321 2.9601808692937040D+08 (age_target - star_age)/age_sigma 322 44.6500684839 reducing max timestep prior to age target 322 2.9022544514522982D+08 (age_target - star_age)/age_sigma 323 43.7767163380 reducing max timestep prior to age target 323 2.8454865619677210D+08 (age_target - star_age)/age_sigma 324 42.9208312350 reducing max timestep prior to age target 324 2.7898540302728319D+08 (age_target - star_age)/age_sigma 325 42.0820638340 reducing max timestep prior to age target 325 2.7353341492118454D+08 (age_target - star_age)/age_sigma 326 41.2600717811 reducing max timestep prior to age target 326 2.6819046657720757D+08 (age_target - star_age)/age_sigma 327 40.4545195692 reducing max timestep prior to age target 327 2.6295437720011044D+08 (age_target - star_age)/age_sigma 328 39.6650784016 reducing max timestep prior to age target 328 2.5782300961055470D+08 (age_target - star_age)/age_sigma 329 38.8914260574 reducing max timestep prior to age target 329 2.5279426937279129D+08 330 7.178909 5649.310 -0.048838 -0.048838 1.000000 1.000000 0.400378 0.005217 0.239744 -1.537757 509 1 6.6927E+00 7.178909 -0.005726 -43.543308 -1.683452 -99.000000 0.000000 0.579269 0.009012 0.017694 0.113680 5 4.3216E+09 2.133081 -0.048778 -99.000000 -99.000000 -6.888990 0.000000 0.000019 0.002066 0.020353 0.000E+00 max_dt rel_E_err 1.7177831499573895D-13 log_rel_run_E_err -10.2871618943519305 (age_target - star_age)/age_sigma 330 38.1332467600 reducing max timestep prior to age target 330 2.4786610393978214D+08 (age_target - star_age)/age_sigma 331 37.3902310485 reducing max timestep prior to age target 331 2.4303650181543350D+08 (age_target - star_age)/age_sigma 332 36.6620756513 reducing max timestep prior to age target 332 2.3830349173357201D+08 (age_target - star_age)/age_sigma 333 35.9484833621 reducing max timestep prior to age target 333 2.3366514185334682D+08 (age_target - star_age)/age_sigma 334 35.2491629186 reducing max timestep prior to age target 334 2.2911955897072697D+08 (age_target - star_age)/age_sigma 335 34.5638288840 reducing max timestep prior to age target 335 2.2466488774575901D+08 (age_target - star_age)/age_sigma 336 33.8922015300 reducing max timestep prior to age target 336 2.2029930994529057D+08 (age_target - star_age)/age_sigma 337 33.2340067232 reducing max timestep prior to age target 337 2.1602104370083141D+08 (age_target - star_age)/age_sigma 338 32.5889758125 reducing max timestep prior to age target 338 2.1182834278126240D+08 (age_target - star_age)/age_sigma 339 31.9568455200 reducing max timestep prior to age target 339 2.0771949588008404D+08 340 7.179639 5650.231 -0.047385 -0.047385 1.000000 1.000000 0.396871 0.005227 0.239504 -1.535850 511 1 6.6049E+00 7.179639 -0.005141 -43.495427 -1.681179 -99.000000 0.000000 0.582772 0.009005 0.017679 0.114110 5 4.3658E+09 2.136034 -0.047324 -15.477469 -99.000000 -6.890006 0.000000 0.000019 0.002066 0.020357 0.000E+00 max_dt rel_E_err 1.9943317109899243D-13 log_rel_run_E_err -10.2715779249921138 (age_target - star_age)/age_sigma 340 31.3373578334 reducing max timestep prior to age target 340 2.0369282591692924D+08 (age_target - star_age)/age_sigma 341 30.7302599005 reducing max timestep prior to age target 341 1.9974668935303688D+08 (age_target - star_age)/age_sigma 342 30.1353039262 reducing max timestep prior to age target 342 1.9587947552042294D+08 (age_target - star_age)/age_sigma 343 29.5522470715 reducing max timestep prior to age target 343 1.9208960596446133D+08 (age_target - star_age)/age_sigma 344 28.9808513538 reducing max timestep prior to age target 344 1.8837553379961967D+08 (age_target - star_age)/age_sigma 345 28.4208835505 reducing max timestep prior to age target 345 1.8473574307807350D+08 (age_target - star_age)/age_sigma 346 27.8721151032 reducing max timestep prior to age target 346 1.8116874817095947D+08 (age_target - star_age)/age_sigma 347 27.3343220249 reducing max timestep prior to age target 347 1.7767309316198730D+08 (age_target - star_age)/age_sigma 348 26.8072848082 reducing max timestep prior to age target 348 1.7424735125319386D+08 (age_target - star_age)/age_sigma 349 26.2907883358 reducing max timestep prior to age target 349 1.7089012418257713D+08 350 7.180239 5650.972 -0.046197 -0.046197 1.000000 1.000000 0.394000 0.005235 0.239309 -1.534283 511 1 6.5172E+00 7.180239 -0.004662 -43.456190 -1.679311 -99.000000 0.000000 0.585639 0.008999 0.017666 0.114466 5 4.4019E+09 2.138457 -0.046137 -15.653560 -99.000000 -6.890836 0.000000 0.000019 0.002067 0.020361 0.000E+00 max_dt rel_E_err 1.8845087597968809D-13 log_rel_run_E_err -10.2568231222501289 (age_target - star_age)/age_sigma 350 25.7846217928 reducing max timestep prior to age target 350 1.6760004165337276D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.2885785807 reducing max timestep prior to age target 351 1.6437576077475166D+08 (age_target - star_age)/age_sigma 353 24.3163338850 reducing max timestep prior to age target 353 1.5805617025265598D+08 (age_target - star_age)/age_sigma 354 23.8399339841 reducing max timestep prior to age target 354 1.5495957089682865D+08 (age_target - star_age)/age_sigma 355 23.3730620812 reducing max timestep prior to age target 355 1.5192490352811813D+08 (age_target - star_age)/age_sigma 356 22.9155276164 reducing max timestep prior to age target 356 1.4895092950678158D+08 (age_target - star_age)/age_sigma 357 22.4671438409 reducing max timestep prior to age target 357 1.4603643496587181D+08 (age_target - star_age)/age_sigma 358 22.0277277409 reducing max timestep prior to age target 358 1.4318023031578064D+08 (age_target - star_age)/age_sigma 359 21.5970999629 reducing max timestep prior to age target 359 1.4038114975869083D+08 360 7.180739 5651.585 -0.045210 -0.045210 1.000000 1.000000 0.391614 0.005242 0.239147 -1.532977 511 1 6.4382E+00 7.180739 -0.004262 -43.423523 -1.677751 -99.000000 0.000000 0.588023 0.008993 0.017655 0.114763 5 4.4319E+09 2.140476 -0.045150 -15.477469 -99.000000 -6.891525 0.000000 0.000019 0.002067 0.020363 0.000E+00 max_dt rel_E_err 1.7425897519501717D-13 log_rel_run_E_err -10.2427353695528573 (age_target - star_age)/age_sigma 360 21.1750847404 reducing max timestep prior to age target 360 1.3763805081274319D+08 (age_target - star_age)/age_sigma 361 20.7615098224 reducing max timestep prior to age target 361 1.3494981384571362D+08 (age_target - star_age)/age_sigma 362 20.3562064028 reducing max timestep prior to age target 362 1.3231534161802578D+08 (age_target - star_age)/age_sigma 363 19.9590090515 reducing max timestep prior to age target 363 1.2973355883489132D+08 (age_target - star_age)/age_sigma 364 19.5697556473 reducing max timestep prior to age target 364 1.2720341170741940D+08 (age_target - star_age)/age_sigma 365 19.1882873112 reducing max timestep prior to age target 365 1.2472386752249622D+08 (age_target - star_age)/age_sigma 366 18.8144483417 reducing max timestep prior to age target 366 1.2229391422127247D+08 (age_target - star_age)/age_sigma 367 18.4480861517 reducing max timestep prior to age target 367 1.1991255998607254D+08 (age_target - star_age)/age_sigma 368 18.0890512055 reducing max timestep prior to age target 368 1.1757883283557701D+08 (age_target - star_age)/age_sigma 369 17.7371969582 reducing max timestep prior to age target 369 1.1529178022809219D+08 370 7.181151 5652.084 -0.044398 -0.044398 1.000000 1.000000 0.389654 0.005247 0.239015 -1.531903 511 1 6.3505E+00 7.181151 -0.003933 -43.396650 -1.676464 -99.000000 0.000000 0.589981 0.008989 0.017647 0.115009 5 4.4564E+09 2.142138 -0.044338 -99.000000 -99.000000 -6.892092 0.000000 0.000019 0.002067 0.020365 0.000E+00 max_dt rel_E_err 1.6865876314504361D-13 log_rel_run_E_err -10.2291125272962837 (age_target - star_age)/age_sigma 370 17.3923797958 reducing max timestep prior to age target 370 1.1305046867275620D+08 (age_target - star_age)/age_sigma 371 17.0544589767 reducing max timestep prior to age target 371 1.1085398334852695D+08 (age_target - star_age)/age_sigma 372 16.7232965740 reducing max timestep prior to age target 372 1.0870142773078251D+08 (age_target - star_age)/age_sigma 373 16.3987574193 reducing max timestep prior to age target 373 1.0659192322539234D+08 (age_target - star_age)/age_sigma 374 16.0807090477 reducing max timestep prior to age target 374 1.0452460881011105D+08 (age_target - star_age)/age_sigma 375 15.7690216436 reducing max timestep prior to age target 375 1.0249864068313408D+08 (age_target - star_age)/age_sigma 376 15.4635679875 reducing max timestep prior to age target 376 1.0051319191869736D+08 (age_target - star_age)/age_sigma 377 15.1642234045 reducing max timestep prior to age target 377 9.8567452129549980D+07 (age_target - star_age)/age_sigma 378 14.8708657133 reducing max timestep prior to age target 378 9.6660627136184692D+07 (age_target - star_age)/age_sigma 379 14.5833751758 reducing max timestep prior to age target 379 9.4791938642686844D+07 380 7.181488 5652.491 -0.043734 -0.043734 1.000000 1.000000 0.388050 0.005252 0.238907 -1.531022 511 1 6.2628E+00 7.181488 -0.003664 -43.374649 -1.675408 -99.000000 0.000000 0.591583 0.008985 0.017640 0.115211 5 4.4765E+09 2.143500 -0.043675 -99.000000 -99.000000 -6.892555 0.000000 0.000019 0.002068 0.020367 0.000E+00 max_dt rel_E_err 1.8065728108232849D-13 log_rel_run_E_err -10.2154518821114149 (age_target - star_age)/age_sigma 380 14.3016344491 reducing max timestep prior to age target 380 9.2960623919058800D+07 (age_target - star_age)/age_sigma 381 14.0255285369 reducing max timestep prior to age target 381 9.1165935489903450D+07 (age_target - star_age)/age_sigma 382 13.7549447430 reducing max timestep prior to age target 382 8.9407140829332352D+07 (age_target - star_age)/age_sigma 383 13.4897726249 reducing max timestep prior to age target 383 8.7683522061971664D+07 (age_target - star_age)/age_sigma 384 13.2299039492 reducing max timestep prior to age target 384 8.5994375669958115D+07 (age_target - star_age)/age_sigma 385 12.9752326470 reducing max timestep prior to age target 385 8.4339012205784798D+07 (age_target - star_age)/age_sigma 386 12.7256547709 reducing max timestep prior to age target 386 8.2716756010894775D+07 (age_target - star_age)/age_sigma 388 12.2364821337 reducing max timestep prior to age target 388 7.9537133868910789D+07 (age_target - star_age)/age_sigma 389 11.9967875414 reducing max timestep prior to age target 389 7.7979119019338608D+07 390 7.181766 5652.824 -0.043187 -0.043187 1.000000 1.000000 0.386732 0.005256 0.238819 -1.530297 511 1 6.1838E+00 7.181766 -0.003442 -43.356541 -1.674538 -99.000000 0.000000 0.592900 0.008982 0.017634 0.115377 5 4.4930E+09 2.144621 -0.043128 -99.000000 -99.000000 -6.892936 0.000000 0.000019 0.002068 0.020369 0.000E+00 max_dt rel_E_err 1.9351501873722383D-13 log_rel_run_E_err -10.2024105360920672 (age_target - star_age)/age_sigma 390 11.7618868410 reducing max timestep prior to age target 390 7.6452264466757774D+07 (age_target - star_age)/age_sigma 391 11.5316841547 reducing max timestep prior to age target 391 7.4955947005228043D+07 (age_target - star_age)/age_sigma 392 11.3060855220 reducing max timestep prior to age target 392 7.3489555892930031D+07 (age_target - star_age)/age_sigma 393 11.0849988620 reducing max timestep prior to age target 393 7.2052492602877617D+07 (age_target - star_age)/age_sigma 394 10.8683339352 reducing max timestep prior to age target 394 7.0644170578625679D+07 (age_target - star_age)/age_sigma 395 10.6560023069 reducing max timestep prior to age target 395 6.9264014994859695D+07 (age_target - star_age)/age_sigma 396 10.4479173112 reducing max timestep prior to age target 396 6.7911462522768021D+07 (age_target - star_age)/age_sigma 397 10.2439940154 reducing max timestep prior to age target 397 6.6585961100119591D+07 (age_target - star_age)/age_sigma 398 10.0441491855 reducing max timestep prior to age target 398 6.5286969705923080D+07 (age_target - star_age)/age_sigma 399 9.8483012522 reducing max timestep prior to age target 399 6.4013958139610291D+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 7.181997 5653.100 -0.042734 -0.042734 1.000000 1.000000 0.385638 0.005259 0.238746 -1.529696 511 1 6.0961E+00 7.181997 -0.003258 -43.341508 -1.673814 -99.000000 0.000000 0.593992 0.008979 0.017629 0.115516 5 4.5067E+09 2.145552 -0.042675 -99.000000 -99.000000 -6.893253 0.000000 0.000019 0.002068 0.020370 0.000E+00 max_dt rel_E_err 1.8856794133518931D-13 log_rel_run_E_err -10.1896415365196127 (age_target - star_age)/age_sigma 400 9.6563702776 reducing max timestep prior to age target 400 6.2766406804624557D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4682779225 reducing max timestep prior to age target 401 6.1543806496337891D+07 (age_target - star_age)/age_sigma 402 9.2839474145 reducing max timestep prior to age target 402 6.0345658194216728D+07 (age_target - star_age)/age_sigma 403 9.1033035166 reducing max timestep prior to age target 403 5.9171472858139038D+07 (age_target - star_age)/age_sigma 404 8.9262724967 reducing max timestep prior to age target 404 5.8020771228781700D+07 (age_target - star_age)/age_sigma 405 8.7527820972 reducing max timestep prior to age target 405 5.6893083632012367D+07 (age_target - star_age)/age_sigma 406 8.5827615057 reducing max timestep prior to age target 406 5.5787949787178040D+07 (age_target - star_age)/age_sigma 407 8.4161413260 reducing max timestep prior to age target 407 5.4704918619240761D+07 (age_target - star_age)/age_sigma 408 8.2528535499 reducing max timestep prior to age target 408 5.3643548074661255D+07 (age_target - star_age)/age_sigma 409 8.0928315294 reducing max timestep prior to age target 409 5.2603404940974236D+07 410 7.182186 5653.324 -0.042364 -0.042364 1.000000 1.000000 0.384744 0.005262 0.238686 -1.529203 511 1 6.0083E+00 7.182186 -0.003107 -43.329211 -1.673221 -99.000000 0.000000 0.594886 0.008977 0.017625 0.115630 4 4.5179E+09 2.146314 -0.042305 -15.653560 -99.000000 -6.893511 0.000000 0.000019 0.002068 0.020371 0.000E+00 max_dt rel_E_err 1.7954803731403129D-13 log_rel_run_E_err -10.1775026361632879 (age_target - star_age)/age_sigma 410 7.9360099492 reducing max timestep prior to age target 410 5.1584064669960976D+07 (age_target - star_age)/age_sigma 411 7.7823248007 reducing max timestep prior to age target 411 5.0585111204367638D+07 (age_target - star_age)/age_sigma 412 7.6317133551 reducing max timestep prior to age target 412 4.9606136808086395D+07 (age_target - star_age)/age_sigma 413 7.4841141384 reducing max timestep prior to age target 413 4.8646741899731636D+07 (age_target - star_age)/age_sigma 414 7.3394669061 reducing max timestep prior to age target 414 4.7706534889542580D+07 (age_target - star_age)/age_sigma 415 7.1977126184 reducing max timestep prior to age target 415 4.6785132019557953D+07 (age_target - star_age)/age_sigma 416 7.0587934165 reducing max timestep prior to age target 416 4.5882157206973076D+07 (age_target - star_age)/age_sigma 417 6.9226525986 reducing max timestep prior to age target 417 4.4997241890640259D+07 (age_target - star_age)/age_sigma 418 6.7892345970 reducing max timestep prior to age target 418 4.4130024880633354D+07 (age_target - star_age)/age_sigma 419 6.6584849555 reducing max timestep prior to age target 419 4.3280152210826874D+07 420 7.182341 5653.507 -0.042061 -0.042061 1.000000 1.000000 0.384013 0.005264 0.238637 -1.528800 511 1 5.9206E+00 7.182341 -0.002984 -43.319154 -1.672736 -99.000000 0.000000 0.595616 0.008975 0.017622 0.115723 3 4.5271E+09 2.146937 -0.042002 -15.653560 -99.000000 -6.893723 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 1.8082704090544773D-13 log_rel_run_E_err -10.1655106721280770 (age_target - star_age)/age_sigma 420 6.5303503068 reducing max timestep prior to age target 420 4.2447276994416237D+07 (age_target - star_age)/age_sigma 422 6.2792063954 reducing max timestep prior to age target 422 4.0814841570252419D+07 (age_target - star_age)/age_sigma 423 6.1561458788 reducing max timestep prior to age target 423 4.0014948212411880D+07 (age_target - star_age)/age_sigma 424 6.0355465726 reducing max timestep prior to age target 424 3.9231052721728325D+07 (age_target - star_age)/age_sigma 425 5.9173592524 reducing max timestep prior to age target 425 3.8462835140857697D+07 (age_target - star_age)/age_sigma 426 5.8015356787 reducing max timestep prior to age target 426 3.7709981911604881D+07 (age_target - star_age)/age_sigma 427 5.6880285765 reducing max timestep prior to age target 427 3.6972185746937752D+07 (age_target - star_age)/age_sigma 428 5.5767916162 reducing max timestep prior to age target 428 3.6249145505562782D+07 (age_target - star_age)/age_sigma 429 5.4677793952 reducing max timestep prior to age target 429 3.5540566069016457D+07 430 7.182469 5653.659 -0.041808 -0.041808 1.000000 1.000000 0.383404 0.005266 0.238596 -1.528465 511 1 5.8416E+00 7.182469 -0.002881 -43.310782 -1.672332 -99.000000 0.000000 0.596224 0.008974 0.017619 0.115801 3 4.5347E+09 2.147456 -0.041750 -15.255620 -99.000000 -6.893899 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 1.9476258288035955D-13 log_rel_run_E_err -10.1538201236128494 (age_target - star_age)/age_sigma 430 5.3609474186 reducing max timestep prior to age target 430 3.4846158221199989D+07 (age_target - star_age)/age_sigma 431 5.2562520816 reducing max timestep prior to age target 431 3.4165638530340195D+07 (age_target - star_age)/age_sigma 432 5.1536506513 reducing max timestep prior to age target 432 3.3498729233298302D+07 (age_target - star_age)/age_sigma 433 5.0531012496 reducing max timestep prior to age target 433 3.2845158122196198D+07 (age_target - star_age)/age_sigma 434 4.9540208329 reducing max timestep prior to age target 434 3.2201135413917542D+07 (age_target - star_age)/age_sigma 435 4.8549404163 remaining steps and years until age target 435 49 3.1557112705639839D+07 (age_target - star_age)/age_sigma 436 4.7558599996 reducing max timestep prior to age target 436 3.0913089997361183D+07 (age_target - star_age)/age_sigma 437 4.6567795829 reducing max timestep prior to age target 437 3.0269067289082527D+07 (age_target - star_age)/age_sigma 438 4.5576991663 reducing max timestep prior to age target 438 2.9625044580803871D+07 (age_target - star_age)/age_sigma 439 4.4586187496 reducing max timestep prior to age target 439 2.8981021872525215D+07 440 7.182580 5653.790 -0.041592 -0.041592 1.000000 1.000000 0.382883 0.005268 0.238562 -1.528177 511 1 5.8089E+00 7.182580 -0.002793 -43.303608 -1.671985 -99.000000 0.000000 0.596744 0.008973 0.017617 0.115868 3 4.5412E+09 2.147901 -0.041534 -99.000000 -99.000000 -6.894049 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt rel_E_err 1.8767824500848503D-13 log_rel_run_E_err -10.1424836823671463 (age_target - star_age)/age_sigma 440 4.3595383330 remaining steps and years until age target 440 44 2.8336999164247513D+07 (age_target - star_age)/age_sigma 441 4.2604579163 reducing max timestep prior to age target 441 2.7692976455968857D+07 (age_target - star_age)/age_sigma 442 4.1613774996 reducing max timestep prior to age target 442 2.7048953747690201D+07 (age_target - star_age)/age_sigma 443 4.0622970830 reducing max timestep prior to age target 443 2.6404931039411545D+07 (age_target - star_age)/age_sigma 444 3.9632166663 remaining steps and years until age target 444 40 2.5760908331133842D+07 (age_target - star_age)/age_sigma 445 3.8641362497 reducing max timestep prior to age target 445 2.5116885622855186D+07 (age_target - star_age)/age_sigma 446 3.7650558330 reducing max timestep prior to age target 446 2.4472862914576530D+07 (age_target - star_age)/age_sigma 447 3.6659754164 reducing max timestep prior to age target 447 2.3828840206297874D+07 (age_target - star_age)/age_sigma 448 3.5668949997 reducing max timestep prior to age target 448 2.3184817498019218D+07 (age_target - star_age)/age_sigma 449 3.4678145830 remaining steps and years until age target 449 35 2.2540794789741516D+07 450 7.182689 5653.919 -0.041378 -0.041378 1.000000 1.000000 0.382367 0.005269 0.238527 -1.527892 511 1 5.8089E+00 7.182689 -0.002706 -43.296505 -1.671642 -99.000000 0.000000 0.597259 0.008971 0.017615 0.115934 3 4.5476E+09 2.148341 -0.041320 -99.000000 -99.000000 -6.894198 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt rel_E_err 1.7909304322315866D-13 log_rel_run_E_err -10.1313265151893042 (age_target - star_age)/age_sigma 450 3.3687341664 reducing max timestep prior to age target 450 2.1896772081462860D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2696537497 reducing max timestep prior to age target 451 2.1252749373184204D+07 (age_target - star_age)/age_sigma 452 3.1705733331 reducing max timestep prior to age target 452 2.0608726664905548D+07 (age_target - star_age)/age_sigma 453 3.0714929164 remaining steps and years until age target 453 31 1.9964703956627846D+07 (age_target - star_age)/age_sigma 454 2.9724124997 reducing max timestep prior to age target 454 1.9320681248349190D+07 (age_target - star_age)/age_sigma 455 2.8733320831 reducing max timestep prior to age target 455 1.8676658540070534D+07 (age_target - star_age)/age_sigma 456 2.7742516664 reducing max timestep prior to age target 456 1.8032635831791878D+07 (age_target - star_age)/age_sigma 457 2.6751712498 reducing max timestep prior to age target 457 1.7388613123513222D+07 (age_target - star_age)/age_sigma 458 2.5760908331 remaining steps and years until age target 458 26 1.6744590415235519D+07 (age_target - star_age)/age_sigma 459 2.4770104165 reducing max timestep prior to age target 459 1.6100567706956863D+07 460 7.182799 5654.048 -0.041164 -0.041164 1.000000 1.000000 0.381852 0.005271 0.238493 -1.527607 511 1 5.8089E+00 7.182799 -0.002619 -43.289398 -1.671298 -99.000000 0.000000 0.597775 0.008970 0.017612 0.116000 3 4.5540E+09 2.148782 -0.041106 -99.000000 -99.000000 -6.894347 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt rel_E_err 1.8552170234070050D-13 log_rel_run_E_err -10.1205933143066851 (age_target - star_age)/age_sigma 460 2.3779299998 reducing max timestep prior to age target 460 1.5456544998678207D+07 (age_target - star_age)/age_sigma 461 2.2788495831 reducing max timestep prior to age target 461 1.4812522290399551D+07 (age_target - star_age)/age_sigma 462 2.1797691665 reducing max timestep prior to age target 462 1.4168499582120895D+07 (age_target - star_age)/age_sigma 463 2.0806887498 remaining steps and years until age target 463 21 1.3524476873843193D+07 (age_target - star_age)/age_sigma 464 1.9816083332 reducing max timestep prior to age target 464 1.2880454165564537D+07 (age_target - star_age)/age_sigma 465 1.8825279165 reducing max timestep prior to age target 465 1.2236431457285881D+07 (age_target - star_age)/age_sigma 466 1.7834474998 reducing max timestep prior to age target 466 1.1592408749007225D+07 (age_target - star_age)/age_sigma 467 1.6843670832 remaining steps and years until age target 467 17 1.0948386040729523D+07 (age_target - star_age)/age_sigma 468 1.5852866665 reducing max timestep prior to age target 468 1.0304363332450867D+07 (age_target - star_age)/age_sigma 469 1.4862062499 remaining steps and years until age target 469 15 9.6603406241731644D+06 470 7.182908 5654.177 -0.040950 -0.040950 1.000000 1.000000 0.381336 0.005272 0.238459 -1.527322 511 1 5.8089E+00 7.182908 -0.002532 -43.282287 -1.670954 -99.000000 0.000000 0.598290 0.008969 0.017610 0.116066 3 4.5605E+09 2.149223 -0.040892 -15.477469 -99.000000 -6.894496 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt rel_E_err 1.8637376303366904D-13 log_rel_run_E_err -10.1099264318659028 (age_target - star_age)/age_sigma 470 1.3871258332 reducing max timestep prior to age target 470 9.0163179158945084D+06 (age_target - star_age)/age_sigma 471 1.2880454166 remaining steps and years until age target 471 13 8.3722952076168060D+06 (age_target - star_age)/age_sigma 472 1.1889649999 reducing max timestep prior to age target 472 7.7282724993381500D+06 (age_target - star_age)/age_sigma 473 1.0898845832 remaining steps and years until age target 473 11 7.0842497910604477D+06 (age_target - star_age)/age_sigma 474 0.9908041666 reducing max timestep prior to age target 474 6.4402270827817917D+06 (age_target - star_age)/age_sigma 475 0.8917237499 remaining steps and years until age target 475 9 5.7962043745040894D+06 (age_target - star_age)/age_sigma 476 0.7926433333 reducing max timestep prior to age target 476 5.1521816662254333D+06 (age_target - star_age)/age_sigma 477 0.6935629166 remaining steps and years until age target 477 7 4.5081589579477310D+06 (age_target - star_age)/age_sigma 478 0.5944824999 reducing max timestep prior to age target 478 3.8641362496690750D+06 (age_target - star_age)/age_sigma 479 0.4954020833 remaining steps and years until age target 479 5 3.2201135413913727D+06 480 7.183018 5654.306 -0.040736 -0.040736 1.000000 1.000000 0.380819 0.005274 0.238425 -1.527037 511 1 5.8089E+00 7.183018 -0.002444 -43.275171 -1.670609 -99.000000 0.000000 0.598806 0.008967 0.017608 0.116132 3 4.5669E+09 2.149664 -0.040678 -99.000000 -99.000000 -6.894645 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt rel_E_err 1.6342043626994923D-13 log_rel_run_E_err -10.0995943889824069 (age_target - star_age)/age_sigma 480 0.3963216666 reducing max timestep prior to age target 480 2.5760908331127167D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2972412500 remaining steps and years until age target 481 3 1.9320681248350143D+06 (age_target - star_age)/age_sigma 482 0.1981608333 remaining steps and years until age target 482 2 1.2880454165573120D+06 (age_target - star_age)/age_sigma 483 0.0990804167 chi^2 combined, chi^2 seismo, chi^2 spectro 484 333406.28 0.00 333406.28 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 10 varcontrol dt limit 326 max increase dt limit 4286 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 333406.28 0.00 333406.28 have reached age_target runtime (minutes), retries, steps 1.85 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 7.183062 5654.358 -0.040650 -0.040650 1.000000 1.000000 0.380613 0.005275 0.238411 -1.526923 511 1 5.8089E+00 7.183062 -0.002410 -43.272324 -1.670471 -99.000000 0.000000 0.599012 0.008967 0.017607 0.116159 3 4.5695E+09 2.149841 -0.040592 -15.653560 -99.000000 -6.894704 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt rel_E_err 1.8808127048403882D-13 log_rel_run_E_err -10.0954910741384012 Teff 5654.3575099498 radius 0.9944671034 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 30.6129453394 M_H 0.0137194191 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 188.2224593104 log_R -0.0024095786 delta_nu 142.6734830870 nu_max 3144.5557719875 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2639234877 initial_FeH 0.0687309476 alpha 2.1110729980 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 333406.2784682166 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 "13a2611" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251021" "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 3.3333875998556201E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615162122E+03 1.0010042019476011E+00 3.9078811566418551E-03 4.3590053508908092E-04 1.4131272100395103E+02 3.1134409185997783E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998556201E+05 0 0 0 0 0 0 0 4 3.3337679267851473E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620722725E+03 1.0114129281999173E+00 3.5086385926359043E-04 4.9285006214226787E-03 1.3913658568072702E+02 3.0234851123037161E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851473E+05 0 0 0 0 0 0 0 8 3.3340627846821659E+05 1.0000000000000000E+00 2.6392348767526730E-01 6.8730947586578453E-02 2.1110729980017271E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.6543575099497893E+03 9.9446710335001354E-01 1.3719419058780031E-02 -2.4095786228654150E-03 1.4267348308695176E+02 3.1445557719875023E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3340627846821659E+05 0 0 0 0 0 0 0 1 3.3351283960191300E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383763063E+03 1.0231407131233186E+00 -1.7395981959431566E-03 9.9353665865348391E-03 1.3680762272707946E+02 2.9640776267836432E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191300E+05 0 0 0 0 0 0 0 3 3.3365606602480775E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367150E+03 1.0099970103006384E+00 2.9466215560743837E-02 4.3200882263484969E-03 1.3947582155334737E+02 3.0536692076812378E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602480775E+05 0 0 0 0 0 0 0 7 3.3407039377753291E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770901893E+03 1.0465194169961112E+00 -6.8647778507907320E-03 1.9747290597338950E-02 1.3234565759149217E+02 2.8509534669600862E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377753291E+05 0 0 0 0 0 0 0 6 3.3418048986539623E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558235767E+03 1.0372797593387311E+00 -3.3936545785259578E-02 1.5895903497343482E-02 1.3402431816162124E+02 2.8735532959074199E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986539623E+05 0 0 0 0 0 0 0 2 3.3468070564326044E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399268864E+03 1.0622782375813318E+00 -1.2788199777319889E-02 2.6238284372292867E-02 1.2938435093834747E+02 2.7294282123459179E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326044E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data DATE: 2025-10-21 TIME: 21:54:32 finished inlist_fast_newuoa_header DATE: 2025-10-21 TIME: 21:54:32 finished fast_newuoa run: test string matches after ./rn