DATE: 2025-10-17 TIME: 17:33:43 run inlist_fast_newuoa_header DATE: 2025-10-17 TIME: 17:33:43 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 7925f3a 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 3.9562810869851778D-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 1.8246319607504208D-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 -99.000000 -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 2.4692958051424622D-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 -20.470040 -99.000000 -6.899727 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6951610849067104D-13 log_rel_run_E_err -11.5762518388221078 20 6.621787 4338.368 -4.903036 -4.903036 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 455 0 -3.4956E+00 6.621787 0.262629 -99.000000 -6.300785 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 1.8669E-03 0.156071 0.029257 -99.000000 -99.000000 -6.905564 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5666426911732906D-13 log_rel_run_E_err -11.2767490073696415 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 -20.771070 -99.000000 -6.906078 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5293909792972214D-13 log_rel_run_E_err -11.1047566372155604 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 2.4921392484171048D-13 log_rel_run_E_err -10.9829150671104365 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 2.6206574919052121D-13 log_rel_run_E_err -10.8857671657457971 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 -20.293948 -99.000000 -6.905090 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5536035278394050D-13 log_rel_run_E_err -10.8072000387529901 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 2.5331096064587154D-13 log_rel_run_E_err -10.7402171263146027 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 -20.470040 -99.000000 -6.905079 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5349381678077073D-13 log_rel_run_E_err -10.6829665804824128 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 -99.000000 -99.000000 -6.905021 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7470412742498234D-13 log_rel_run_E_err -10.6318094266478607 __________________________________________________________________________________________________________________________________________________ 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 2.6116060649477475D-13 log_rel_run_E_err -10.5866761551191395 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.623149 4335.691 -4.887888 -4.887888 1.000000 1.000000 0.711274 0.000946 0.270000 -4.021153 454 0 3.6308E+00 6.623149 0.261035 -99.000000 -6.285635 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071991 2 2.5639E+04 0.161126 0.024997 -99.000000 -99.000000 -6.902474 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5495522448717894D-13 log_rel_run_E_err -10.5471920285472791 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 -20.169010 -99.000000 -6.889335 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5839584860634190D-13 log_rel_run_E_err -10.5014299037015615 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 -19.867980 -99.000000 -6.821859 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7075740533682286D-13 log_rel_run_E_err -10.2089887961423482 140 6.750234 4220.861 -3.420425 -3.420425 1.000000 1.000000 0.711271 0.000946 0.269999 -3.080459 467 0 5.8515E+00 6.750234 0.109731 -99.000000 -4.817927 -99.000000 0.000000 0.270003 0.008783 0.018726 0.084830 4 5.4698E+06 0.756201 -0.324240 -18.964890 -99.000000 -6.662570 0.000000 0.003227 0.001952 0.018726 0.000E+00 varcontrol rel_E_err 2.4978016886509702D-13 log_rel_run_E_err -10.2936164434051776 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 2.0641279780888949D-13 log_rel_run_E_err -10.4105477560006783 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 -99.000000 -99.000000 -6.845417 0.000000 0.003212 0.001952 0.018730 0.000E+00 lgRho_cntr rel_E_err 1.7486069015006690D-13 log_rel_run_E_err -10.5501323673610106 (age_target - star_age)/age_sigma 169 694.4614868091 reducing max timestep prior to age target 169 4.5139996642593517D+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 1.8299217067162258D-13 log_rel_run_E_err -10.5769148664497710 (age_target - star_age)/age_sigma 176 680.1699322099 reducing max timestep prior to age target 176 4.4211045593640852D+09 (age_target - star_age)/age_sigma 179 665.7379903563 reducing max timestep prior to age target 179 4.3272969373161106D+09 180 7.131307 5583.996 -0.143677 -0.143677 1.000000 1.000000 0.694446 0.004706 0.268281 -1.673885 507 0 7.6487E+00 7.131307 -0.043046 -47.089020 -1.799023 -99.000000 0.000000 0.286257 0.008797 0.018621 0.087384 10 2.8674E+08 1.923966 -0.143617 -99.000000 -99.000000 -6.816863 0.000000 0.000014 0.001956 0.019297 0.000E+00 max increase rel_E_err 1.9199682110954224D-13 log_rel_run_E_err -10.5492102952834230 (age_target - star_age)/age_sigma 181 650.6653337216 reducing max timestep prior to age target 181 4.2293246691904011D+09 (age_target - star_age)/age_sigma 182 640.7995948334 reducing max timestep prior to age target 182 4.1651973664172096D+09 (age_target - star_age)/age_sigma 184 616.6417643099 reducing max timestep prior to age target 184 4.0081714680144005D+09 (age_target - star_age)/age_sigma 185 604.5691993294 reducing max timestep prior to age target 185 3.9296997956409206D+09 (age_target - star_age)/age_sigma 186 592.7380856484 reducing max timestep prior to age target 186 3.8527975567149100D+09 (age_target - star_age)/age_sigma 187 581.1435942411 reducing max timestep prior to age target 187 3.7774333625674200D+09 (age_target - star_age)/age_sigma 188 569.7809926620 reducing max timestep prior to age target 188 3.7035764523028793D+09 (age_target - star_age)/age_sigma 189 558.6456431144 reducing max timestep prior to age target 189 3.6311966802436299D+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 1.9048367449423895D-13 log_rel_run_E_err -10.5223806550079271 (age_target - star_age)/age_sigma 190 547.7330005578 reducing max timestep prior to age target 190 3.5602645036255655D+09 (age_target - star_age)/age_sigma 191 537.0386108523 reducing max timestep prior to age target 191 3.4907509705398622D+09 (age_target - star_age)/age_sigma 192 526.5581089409 reducing max timestep prior to age target 192 3.4226277081158729D+09 (age_target - star_age)/age_sigma 193 516.2872170677 reducing max timestep prior to age target 193 3.3558669109403634D+09 (age_target - star_age)/age_sigma 194 506.2217430321 reducing max timestep prior to age target 194 3.2904413297083645D+09 (age_target - star_age)/age_sigma 195 496.3575784771 reducing max timestep prior to age target 195 3.2263242601010051D+09 (age_target - star_age)/age_sigma 196 486.6906972132 reducing max timestep prior to age target 196 3.1634895318857927D+09 (age_target - star_age)/age_sigma 197 477.2171535746 reducing max timestep prior to age target 197 3.1019114982348852D+09 (age_target - star_age)/age_sigma 198 467.9330808088 reducing max timestep prior to age target 198 3.0415650252569957D+09 (age_target - star_age)/age_sigma 199 458.8346894983 reducing max timestep prior to age target 199 2.9824254817386637D+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 1.7167907097966327D-13 log_rel_run_E_err -10.4967729029253523 (age_target - star_age)/age_sigma 200 449.9182660140 reducing max timestep prior to age target 200 2.9244687290906987D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.1801709993 reducing max timestep prior to age target 201 2.8676711114956927D+09 (age_target - star_age)/age_sigma 202 432.6168378850 reducing max timestep prior to age target 202 2.8120094462525873D+09 (age_target - star_age)/age_sigma 203 424.2247714330 reducing max timestep prior to age target 203 2.7574610143143435D+09 (age_target - star_age)/age_sigma 204 416.0005463100 reducing max timestep prior to age target 204 2.7040035510148644D+09 (age_target - star_age)/age_sigma 205 407.9408056894 reducing max timestep prior to age target 205 2.6516152369813752D+09 (age_target - star_age)/age_sigma 206 400.0422598813 reducing max timestep prior to age target 206 2.6002746892285557D+09 (age_target - star_age)/age_sigma 207 392.3016849894 reducing max timestep prior to age target 207 2.5499609524307928D+09 (age_target - star_age)/age_sigma 208 384.7159215952 reducing max timestep prior to age target 208 2.5006534903689852D+09 (age_target - star_age)/age_sigma 209 377.2818734690 reducing max timestep prior to age target 209 2.4523321775484133D+09 210 7.154393 5630.520 -0.087536 -0.087536 1.000000 1.000000 0.550563 0.004831 0.256246 -1.616765 514 0 7.6754E+00 7.154393 -0.022175 -45.292861 -1.744569 -99.000000 0.000000 0.429885 0.008849 0.017873 0.097724 10 2.1645E+09 2.020226 -0.087463 -99.000000 -99.000000 -6.854868 0.000000 0.000016 0.001981 0.019552 0.000E+00 max_dt rel_E_err 1.7463895113685959D-13 log_rel_run_E_err -10.4731184000773183 (age_target - star_age)/age_sigma 210 369.9965063053 reducing max timestep prior to age target 210 2.4049772909842529D+09 (age_target - star_age)/age_sigma 211 362.8568464848 reducing max timestep prior to age target 211 2.3585695021513762D+09 (age_target - star_age)/age_sigma 212 355.8599798608 reducing max timestep prior to age target 212 2.3130898690951567D+09 (age_target - star_age)/age_sigma 213 349.0030505692 reducing max timestep prior to age target 213 2.2685198287000613D+09 (age_target - star_age)/age_sigma 214 342.2832598635 reducing max timestep prior to age target 214 2.2248411891128683D+09 (age_target - star_age)/age_sigma 215 335.6978649719 reducing max timestep prior to age target 215 2.1820361223174195D+09 (age_target - star_age)/age_sigma 217 322.7904909844 reducing max timestep prior to age target 217 2.0981381913983393D+09 (age_target - star_age)/age_sigma 218 316.4658777305 reducing max timestep prior to age target 218 2.0570282052479897D+09 (age_target - star_age)/age_sigma 219 310.2677567416 reducing max timestep prior to age target 219 2.0167404188206468D+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 -15.176439 -99.000000 -6.864196 0.000000 0.000016 0.001987 0.019606 0.000E+00 max_dt rel_E_err 1.7422250550441850D-13 log_rel_run_E_err -10.4505520454592826 (age_target - star_age)/age_sigma 220 304.1935981726 reducing max timestep prior to age target 220 1.9772583881218510D+09 (age_target - star_age)/age_sigma 221 298.2409227749 reducing max timestep prior to age target 221 1.9385659980370317D+09 (age_target - star_age)/age_sigma 222 292.4073008852 reducing max timestep prior to age target 222 1.9006474557539082D+09 (age_target - star_age)/age_sigma 223 286.6903514333 reducing max timestep prior to age target 223 1.8634872843164473D+09 (age_target - star_age)/age_sigma 224 281.0877409704 reducing max timestep prior to age target 224 1.8270703163077359D+09 (age_target - star_age)/age_sigma 225 275.5971827168 reducing max timestep prior to age target 225 1.7913816876591983D+09 (age_target - star_age)/age_sigma 226 270.2164356283 reducing max timestep prior to age target 226 1.7564068315836315D+09 (age_target - star_age)/age_sigma 227 264.9433034815 reducing max timestep prior to age target 227 1.7221314726295762D+09 (age_target - star_age)/age_sigma 228 259.7756339776 reducing max timestep prior to age target 228 1.6885416208546023D+09 (age_target - star_age)/age_sigma 229 254.7113178639 reducing max timestep prior to age target 229 1.6556235661151276D+09 230 7.165666 5648.192 -0.063027 -0.063027 1.000000 1.000000 0.488307 0.004915 0.251320 -1.589186 512 0 7.5087E+00 7.165666 -0.012644 -44.496276 -1.711756 -99.000000 0.000000 0.492045 0.008829 0.017567 0.103283 10 2.9461E+09 2.066060 -0.062957 -15.954590 -99.000000 -6.872147 0.000000 0.000017 0.001992 0.019647 0.000E+00 max_dt rel_E_err 1.8160664100515578D-13 log_rel_run_E_err -10.4294770400083650 (age_target - star_age)/age_sigma 230 249.7482880724 reducing max timestep prior to age target 230 1.6233638724704423D+09 (age_target - star_age)/age_sigma 231 244.8845188767 reducing max timestep prior to age target 231 1.5917493726986508D+09 (age_target - star_age)/age_sigma 232 240.1180250650 reducing max timestep prior to age target 232 1.5607671629222951D+09 (age_target - star_age)/age_sigma 233 235.4468611295 reducing max timestep prior to age target 233 1.5304045973414669D+09 (age_target - star_age)/age_sigma 234 230.8691204727 reducing max timestep prior to age target 234 1.5006492830722551D+09 (age_target - star_age)/age_sigma 235 226.3829346290 reducing max timestep prior to age target 235 1.4714890750884271D+09 (age_target - star_age)/age_sigma 236 221.9864725022 reducing max timestep prior to age target 236 1.4429120712642756D+09 (age_target - star_age)/age_sigma 237 217.6779396179 reducing max timestep prior to age target 237 1.4149066075166078D+09 (age_target - star_age)/age_sigma 238 213.4555773914 reducing max timestep prior to age target 238 1.3874612530438929D+09 (age_target - star_age)/age_sigma 239 209.3176624093 reducing max timestep prior to age target 239 1.3605648056606321D+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 1.7660049696787663D-13 log_rel_run_E_err -10.4088585333374759 (age_target - star_age)/age_sigma 240 205.2625057269 reducing max timestep prior to age target 240 1.3342062872250371D+09 (age_target - star_age)/age_sigma 241 201.2884521782 reducing max timestep prior to age target 241 1.3083749391581535D+09 (age_target - star_age)/age_sigma 242 197.3938797004 reducing max timestep prior to age target 242 1.2830602180526080D+09 (age_target - star_age)/age_sigma 243 193.5771986722 reducing max timestep prior to age target 243 1.2582517913691730D+09 (age_target - star_age)/age_sigma 244 189.8368512645 reducing max timestep prior to age target 244 1.2339395332194066D+09 (age_target - star_age)/age_sigma 245 186.1713108050 reducing max timestep prior to age target 245 1.2101135202326360D+09 (age_target - star_age)/age_sigma 246 182.5790811547 reducing max timestep prior to age target 246 1.1867640275056009D+09 (age_target - star_age)/age_sigma 247 179.0586960974 reducing max timestep prior to age target 247 1.1638815246331062D+09 (age_target - star_age)/age_sigma 248 175.6087187412 reducing max timestep prior to age target 248 1.1414566718180614D+09 (age_target - star_age)/age_sigma 249 172.2277409322 reducing max timestep prior to age target 249 1.1194803160593171D+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 -15.954590 -99.000000 -6.884350 0.000000 0.000018 0.001999 0.019705 0.000E+00 max_dt rel_E_err 1.8407671194082283D-13 log_rel_run_E_err -10.3889206636608780 (age_target - star_age)/age_sigma 250 168.9143826793 reducing max timestep prior to age target 250 1.0979434874157481D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 252 162.4202005037 reducing max timestep prior to age target 252 1.0557313032743535D+09 (age_target - star_age)/age_sigma 253 159.2380512377 reducing max timestep prior to age target 253 1.0350473330450697D+09 (age_target - star_age)/age_sigma 254 156.1195449570 reducing max timestep prior to age target 254 1.0147770422203717D+09 (age_target - star_age)/age_sigma 255 153.0634088019 reducing max timestep prior to age target 255 9.9491215721216774D+08 (age_target - star_age)/age_sigma 256 150.0683953699 reducing max timestep prior to age target 256 9.7544456990412760D+08 (age_target - star_age)/age_sigma 257 147.1332822065 reducing max timestep prior to age target 257 9.5636633434224844D+08 (age_target - star_age)/age_sigma 258 144.2568713064 reducing max timestep prior to age target 258 9.3766966349160719D+08 (age_target - star_age)/age_sigma 259 141.4379886243 reducing max timestep prior to age target 259 9.1934692605797815D+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 1.8965357731139007D-13 log_rel_run_E_err -10.3704547374279255 (age_target - star_age)/age_sigma 260 138.6754835958 reducing max timestep prior to age target 260 9.0139064337302208D+08 (age_target - star_age)/age_sigma 261 135.9682286680 reducing max timestep prior to age target 261 8.8379348634176493D+08 (age_target - star_age)/age_sigma 262 133.3151188386 reducing max timestep prior to age target 262 8.6654827245113277D+08 (age_target - star_age)/age_sigma 263 130.7150712059 reducing max timestep prior to age target 263 8.4964796283831358D+08 (age_target - star_age)/age_sigma 264 128.1670245258 reducing max timestep prior to age target 264 8.3308565941775084D+08 (age_target - star_age)/age_sigma 265 125.6699387793 reducing max timestep prior to age target 265 8.1685460206559944D+08 (age_target - star_age)/age_sigma 266 123.2227947478 reducing max timestep prior to age target 266 8.0094816586049080D+08 (age_target - star_age)/age_sigma 267 120.8245935968 reducing max timestep prior to age target 267 7.8535985837948418D+08 (age_target - star_age)/age_sigma 268 118.4743564689 reducing max timestep prior to age target 268 7.7008331704809809D+08 (age_target - star_age)/age_sigma 269 116.1711240836 reducing max timestep prior to age target 269 7.5511230654333925D+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 -15.653560 -99.000000 -6.892913 0.000000 0.000018 0.002003 0.019740 0.000E+00 max_dt rel_E_err 2.0508381466336389D-13 log_rel_run_E_err -10.3519232685773304 (age_target - star_age)/age_sigma 270 113.9139563460 reducing max timestep prior to age target 270 7.4044071624867582D+08 (age_target - star_age)/age_sigma 271 111.7019319631 reducing max timestep prior to age target 271 7.2606255775990582D+08 (age_target - star_age)/age_sigma 272 109.5341480678 reducing max timestep prior to age target 272 7.1197196244091129D+08 (age_target - star_age)/age_sigma 273 107.4097198505 reducing max timestep prior to age target 273 6.9816317902829599D+08 (age_target - star_age)/age_sigma 274 105.3277801975 reducing max timestep prior to age target 274 6.8463057128393412D+08 (age_target - star_age)/age_sigma 275 103.2874793376 reducing max timestep prior to age target 275 6.7136861569445848D+08 (age_target - star_age)/age_sigma 276 101.2879844949 reducing max timestep prior to age target 276 6.5837189921677256D+08 (age_target - star_age)/age_sigma 277 99.3284795490 reducing max timestep prior to age target 277 6.4563511706864023D+08 (age_target - star_age)/age_sigma 278 97.4081647021 reducing max timestep prior to age target 278 6.3315307056347084D+08 (age_target - star_age)/age_sigma 279 95.5262561521 reducing max timestep prior to age target 279 6.2092066498840475D+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 10 3.9606E+09 2.132052 -0.029296 -15.954590 -99.000000 -6.896095 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.9021179477452671D-13 log_rel_run_E_err -10.3338439288899195 (age_target - star_age)/age_sigma 280 93.6819857731 reducing max timestep prior to age target 280 6.0893290752483988D+08 (age_target - star_age)/age_sigma 281 91.8746008016 reducing max timestep prior to age target 281 5.9718490521054649D+08 (age_target - star_age)/age_sigma 282 90.1033635296 reducing max timestep prior to age target 282 5.8567186294253874D+08 (age_target - star_age)/age_sigma 283 88.3675510031 reducing max timestep prior to age target 283 5.7438908151989079D+08 (age_target - star_age)/age_sigma 284 86.6664547270 reducing max timestep prior to age target 284 5.6333195572569656D+08 (age_target - star_age)/age_sigma 285 84.9993803765 reducing max timestep prior to age target 285 5.5249597244738626D+08 (age_target - star_age)/age_sigma 287 81.7319146495 reducing max timestep prior to age target 287 5.3125744522189760D+08 (age_target - star_age)/age_sigma 288 80.1308564433 reducing max timestep prior to age target 288 5.2085056688140869D+08 (age_target - star_age)/age_sigma 289 78.5618194012 reducing max timestep prior to age target 289 5.1065182610772896D+08 290 7.183903 5671.155 -0.025640 -0.025640 1.000000 1.000000 0.395759 0.005121 0.244356 -1.543695 522 0 6.9998E+00 7.183903 0.002520 -43.272676 -1.655741 -99.000000 0.000000 0.584480 0.008692 0.017135 0.113297 6 4.0688E+09 2.139607 -0.025580 -15.477469 -99.000000 -6.898729 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.8242405425935844D-13 log_rel_run_E_err -10.3164773373370373 (age_target - star_age)/age_sigma 290 77.0241630999 reducing max timestep prior to age target 290 5.0065706014952278D+08 (age_target - star_age)/age_sigma 291 75.5172599247 reducing max timestep prior to age target 291 4.9086218951048088D+08 (age_target - star_age)/age_sigma 292 74.0404948130 reducing max timestep prior to age target 292 4.8126321628421974D+08 (age_target - star_age)/age_sigma 293 72.5932650035 reducing max timestep prior to age target 293 4.7185622252248383D+08 (age_target - star_age)/age_sigma 294 71.1749797902 reducing max timestep prior to age target 294 4.6263736863598251D+08 (age_target - star_age)/age_sigma 295 69.7850602811 reducing max timestep prior to age target 295 4.5360289182721138D+08 (age_target - star_age)/age_sigma 296 68.4229391622 reducing max timestep prior to age target 296 4.4474910455461550D+08 (age_target - star_age)/age_sigma 297 67.0880604658 reducing max timestep prior to age target 297 4.3607239302747202D+08 (age_target - star_age)/age_sigma 298 65.7798793432 reducing max timestep prior to age target 298 4.2756921573087072D+08 (age_target - star_age)/age_sigma 299 64.4978618431 reducing max timestep prior to age target 299 4.1923610198020172D+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 -15.653560 -99.000000 -6.900918 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.8596602869136421D-13 log_rel_run_E_err -10.3000311766990631 (age_target - star_age)/age_sigma 300 63.2414846930 reducing max timestep prior to age target 300 4.1106965050454617D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0102350859 reducing max timestep prior to age target 301 4.0306652805840397D+08 (age_target - star_age)/age_sigma 302 60.8036104710 reducing max timestep prior to age target 302 3.9522346806118441D+08 (age_target - star_age)/age_sigma 303 59.6211183483 reducing max timestep prior to age target 303 3.8753726926390886D+08 (age_target - star_age)/age_sigma 304 58.4622760681 reducing max timestep prior to age target 304 3.8000479444257927D+08 (age_target - star_age)/age_sigma 305 57.3266106335 reducing max timestep prior to age target 305 3.7262296911767578D+08 (age_target - star_age)/age_sigma 306 56.2136585076 reducing max timestep prior to age target 306 3.6538878029927111D+08 (age_target - star_age)/age_sigma 307 55.1229654242 reducing max timestep prior to age target 307 3.5829927525723362D+08 (age_target - star_age)/age_sigma 308 54.0540862025 reducing max timestep prior to age target 308 3.5135156031603765D+08 (age_target - star_age)/age_sigma 309 53.0065845652 reducing max timestep prior to age target 309 3.4454279967366552D+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 -15.477469 -99.000000 -6.902721 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.8440478333516585D-13 log_rel_run_E_err -10.2841207201214893 (age_target - star_age)/age_sigma 310 51.9800329606 reducing max timestep prior to age target 310 3.3787021424414062D+08 (age_target - star_age)/age_sigma 311 50.9740123882 reducing max timestep prior to age target 311 3.3133108052320623D+08 (age_target - star_age)/age_sigma 312 49.9881122272 reducing max timestep prior to age target 312 3.2492272947669077D+08 (age_target - star_age)/age_sigma 313 49.0219300694 reducing max timestep prior to age target 313 3.1864254545110559D+08 (age_target - star_age)/age_sigma 314 48.0750715548 reducing max timestep prior to age target 314 3.1248796510603189D+08 (age_target - star_age)/age_sigma 315 47.1471502104 reducing max timestep prior to age target 315 3.0645647636785984D+08 (age_target - star_age)/age_sigma 316 46.2377872930 reducing max timestep prior to age target 316 3.0054561740445089D+08 (age_target - star_age)/age_sigma 317 45.3466116339 reducing max timestep prior to age target 317 2.9475297562031031D+08 (age_target - star_age)/age_sigma 318 44.4732594880 reducing max timestep prior to age target 318 2.8907618667185259D+08 (age_target - star_age)/age_sigma 319 43.6173743850 reducing max timestep prior to age target 319 2.8351293350236368D+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 -15.352530 -99.000000 -6.904202 0.000000 0.000020 0.002009 0.019779 0.000E+00 max_dt rel_E_err 1.8349698910834638D-13 log_rel_run_E_err -10.2689954537827184 (age_target - star_age)/age_sigma 321 41.9398395831 reducing max timestep prior to age target 321 2.7260895729016590D+08 (age_target - star_age)/age_sigma 322 41.1178475302 reducing max timestep prior to age target 322 2.6726600894618893D+08 (age_target - star_age)/age_sigma 323 40.3122953183 reducing max timestep prior to age target 323 2.6202991956909180D+08 (age_target - star_age)/age_sigma 324 39.5228541507 reducing max timestep prior to age target 324 2.5689855197953701D+08 (age_target - star_age)/age_sigma 325 38.7492018064 reducing max timestep prior to age target 325 2.5186981174177265D+08 (age_target - star_age)/age_sigma 326 37.9910225090 reducing max timestep prior to age target 326 2.4694164630876350D+08 (age_target - star_age)/age_sigma 327 37.2480067976 reducing max timestep prior to age target 327 2.4211204418441486D+08 (age_target - star_age)/age_sigma 328 36.5198514004 reducing max timestep prior to age target 328 2.3737903410255337D+08 (age_target - star_age)/age_sigma 329 35.8062591111 reducing max timestep prior to age target 329 2.3274068422232914D+08 330 7.188764 5676.059 -0.016170 -0.016170 1.000000 1.000000 0.372600 0.005198 0.242666 -1.531495 522 0 6.6576E+00 7.188764 0.006503 -42.957777 -1.640246 -99.000000 0.000000 0.607618 0.008625 0.017029 0.116210 5 4.3413E+09 2.159068 -0.016113 -15.954590 -99.000000 -6.905439 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.9559641255096132D-13 log_rel_run_E_err -10.2541857661155493 (age_target - star_age)/age_sigma 330 35.1069386676 reducing max timestep prior to age target 330 2.2819510133970833D+08 (age_target - star_age)/age_sigma 331 34.4216046330 reducing max timestep prior to age target 331 2.2374043011474037D+08 (age_target - star_age)/age_sigma 332 33.7499772791 reducing max timestep prior to age target 332 2.1937485231427193D+08 (age_target - star_age)/age_sigma 333 33.0917824723 reducing max timestep prior to age target 333 2.1509658606981277D+08 (age_target - star_age)/age_sigma 334 32.4467515616 reducing max timestep prior to age target 334 2.1090388515024376D+08 (age_target - star_age)/age_sigma 335 31.8146212691 reducing max timestep prior to age target 335 2.0679503824906540D+08 (age_target - star_age)/age_sigma 336 31.1951335824 reducing max timestep prior to age target 336 2.0276836828591061D+08 (age_target - star_age)/age_sigma 337 30.5880356495 reducing max timestep prior to age target 337 1.9882223172201920D+08 (age_target - star_age)/age_sigma 338 29.9930796753 reducing max timestep prior to age target 338 1.9495501788940525D+08 (age_target - star_age)/age_sigma 339 29.4100228205 reducing max timestep prior to age target 339 1.9116514833344364D+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 1.9875253468908585D-13 log_rel_run_E_err -10.2397434082027026 (age_target - star_age)/age_sigma 340 28.8386271029 reducing max timestep prior to age target 340 1.8745107616860104D+08 (age_target - star_age)/age_sigma 341 28.2786592995 reducing max timestep prior to age target 341 1.8381128544705582D+08 (age_target - star_age)/age_sigma 342 27.7298908523 reducing max timestep prior to age target 342 1.8024429053994083D+08 (age_target - star_age)/age_sigma 343 27.1920977740 reducing max timestep prior to age target 343 1.7674863553096867D+08 (age_target - star_age)/age_sigma 344 26.6650605573 reducing max timestep prior to age target 344 1.7332289362217522D+08 (age_target - star_age)/age_sigma 345 26.1485640849 reducing max timestep prior to age target 345 1.6996566655155849D+08 (age_target - star_age)/age_sigma 346 25.6423975419 reducing max timestep prior to age target 346 1.6667558402235413D+08 (age_target - star_age)/age_sigma 347 25.1463543298 reducing max timestep prior to age target 347 1.6345130314373398D+08 (age_target - star_age)/age_sigma 348 24.6602319820 reducing max timestep prior to age target 348 1.6029150788268566D+08 (age_target - star_age)/age_sigma 349 24.1838320811 reducing max timestep prior to age target 349 1.5719490852685833D+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 -99.000000 -99.000000 -6.907280 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.8146794009814379D-13 log_rel_run_E_err -10.2259308125779835 (age_target - star_age)/age_sigma 350 23.7169601782 reducing max timestep prior to age target 350 1.5416024115814781D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2594257134 reducing max timestep prior to age target 351 1.5118626713681126D+08 (age_target - star_age)/age_sigma 352 22.8110419378 reducing max timestep prior to age target 352 1.4827177259590149D+08 (age_target - star_age)/age_sigma 353 22.3716258378 reducing max timestep prior to age target 353 1.4541556794581032D+08 (age_target - star_age)/age_sigma 354 21.9409980598 reducing max timestep prior to age target 354 1.4261648738872051D+08 (age_target - star_age)/age_sigma 355 21.5189828373 reducing max timestep prior to age target 355 1.3987338844277287D+08 (age_target - star_age)/age_sigma 357 20.6918330013 reducing max timestep prior to age target 357 1.3449691450871468D+08 (age_target - star_age)/age_sigma 358 20.2865295817 reducing max timestep prior to age target 358 1.3186244228102589D+08 (age_target - star_age)/age_sigma 359 19.8893322304 reducing max timestep prior to age target 359 1.2928065949789143D+08 360 7.190623 5677.808 -0.012603 -0.012603 1.000000 1.000000 0.363895 0.005230 0.242035 -1.526840 522 0 6.4031E+00 7.190623 0.008018 -42.838421 -1.634258 -99.000000 0.000000 0.616315 0.008596 0.016990 0.117354 5 4.4427E+09 2.166487 -0.012548 -15.954590 -99.000000 -6.907962 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.9890665651190028D-13 log_rel_run_E_err -10.2120152612906505 (age_target - star_age)/age_sigma 360 19.5000788262 reducing max timestep prior to age target 360 1.2675051237041950D+08 (age_target - star_age)/age_sigma 361 19.1186104901 reducing max timestep prior to age target 361 1.2427096818549728D+08 (age_target - star_age)/age_sigma 362 18.7447715207 reducing max timestep prior to age target 362 1.2184101488427353D+08 (age_target - star_age)/age_sigma 363 18.3784093306 reducing max timestep prior to age target 363 1.1945966064907360D+08 (age_target - star_age)/age_sigma 364 18.0193743844 reducing max timestep prior to age target 364 1.1712593349857807D+08 (age_target - star_age)/age_sigma 365 17.6675201371 reducing max timestep prior to age target 365 1.1483888089109230D+08 (age_target - star_age)/age_sigma 366 17.3227029747 reducing max timestep prior to age target 366 1.1259756933575630D+08 (age_target - star_age)/age_sigma 367 16.9847821556 reducing max timestep prior to age target 367 1.1040108401152706D+08 (age_target - star_age)/age_sigma 368 16.6536197529 reducing max timestep prior to age target 368 1.0824852839378262D+08 (age_target - star_age)/age_sigma 369 16.3290805982 reducing max timestep prior to age target 369 1.0613902388839340D+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 -99.000000 -99.000000 -6.908527 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.9079316576069622D-13 log_rel_run_E_err -10.1989796070930598 (age_target - star_age)/age_sigma 370 16.0110322266 reducing max timestep prior to age target 370 1.0407170947311115D+08 (age_target - star_age)/age_sigma 371 15.6993448225 reducing max timestep prior to age target 371 1.0204574134613514D+08 (age_target - star_age)/age_sigma 372 15.3938911664 reducing max timestep prior to age target 372 1.0006029258169842D+08 (age_target - star_age)/age_sigma 373 15.0945465835 reducing max timestep prior to age target 373 9.8114552792550087D+07 (age_target - star_age)/age_sigma 374 14.8011888922 reducing max timestep prior to age target 374 9.6207727799184799D+07 (age_target - star_age)/age_sigma 375 14.5136983547 reducing max timestep prior to age target 375 9.4339039305686951D+07 (age_target - star_age)/age_sigma 376 14.2319576280 reducing max timestep prior to age target 376 9.2507724582059860D+07 (age_target - star_age)/age_sigma 377 13.9558517158 reducing max timestep prior to age target 377 9.0713036152904510D+07 (age_target - star_age)/age_sigma 378 13.6852679219 reducing max timestep prior to age target 378 8.8954241492332458D+07 (age_target - star_age)/age_sigma 379 13.4200958038 reducing max timestep prior to age target 379 8.7230622724971771D+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 -15.000347 -99.000000 -6.908990 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.9737665592718002D-13 log_rel_run_E_err -10.1863006676917820 (age_target - star_age)/age_sigma 380 13.1602271281 reducing max timestep prior to age target 380 8.5541476332958221D+07 (age_target - star_age)/age_sigma 381 12.9055558260 reducing max timestep prior to age target 381 8.3886112868784904D+07 (age_target - star_age)/age_sigma 382 12.6559779498 reducing max timestep prior to age target 382 8.2263856673894882D+07 (age_target - star_age)/age_sigma 383 12.4113916312 reducing max timestep prior to age target 383 8.0674045602903366D+07 (age_target - star_age)/age_sigma 384 12.1716970390 reducing max timestep prior to age target 384 7.9116030753331184D+07 (age_target - star_age)/age_sigma 385 11.9367963386 reducing max timestep prior to age target 385 7.7589176200749397D+07 (age_target - star_age)/age_sigma 386 11.7065936522 reducing max timestep prior to age target 386 7.6092858739220619D+07 (age_target - star_age)/age_sigma 387 11.4809950195 reducing max timestep prior to age target 387 7.4626467626922607D+07 (age_target - star_age)/age_sigma 388 11.2599083595 reducing max timestep prior to age target 388 7.3189404336870193D+07 (age_target - star_age)/age_sigma 389 11.0432434327 reducing max timestep prior to age target 389 7.1781082312618256D+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 -15.477469 -99.000000 -6.909369 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.9033628600622344D-13 log_rel_run_E_err -10.1740568646353911 (age_target - star_age)/age_sigma 391 10.6185801762 reducing max timestep prior to age target 391 6.9020771145085335D+07 (age_target - star_age)/age_sigma 392 10.4104951805 reducing max timestep prior to age target 392 6.7668218672994614D+07 (age_target - star_age)/age_sigma 393 10.2065718847 reducing max timestep prior to age target 393 6.6342717250345230D+07 (age_target - star_age)/age_sigma 394 10.0067270548 reducing max timestep prior to age target 394 6.5043725856148720D+07 (age_target - star_age)/age_sigma 395 9.8108791215 reducing max timestep prior to age target 395 6.3770714289836884D+07 (age_target - star_age)/age_sigma 396 9.6189481469 reducing max timestep prior to age target 396 6.2523162954850197D+07 (age_target - star_age)/age_sigma 397 9.4308557918 reducing max timestep prior to age target 397 6.1300562646563530D+07 (age_target - star_age)/age_sigma 398 9.2465252838 reducing max timestep prior to age target 398 6.0102414344443321D+07 (age_target - star_age)/age_sigma 399 9.0658813859 reducing max timestep prior to age target 399 5.8928229008364677D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.191903 5678.974 -0.010164 -0.010164 1.000000 1.000000 0.357950 0.005254 0.241611 -1.523638 523 0 6.0610E+00 7.191903 0.009058 -42.756575 -1.630116 -99.000000 0.000000 0.622256 0.008574 0.016964 0.118151 3 4.5117E+09 2.171587 -0.010111 -15.653560 -99.000000 -6.909684 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.9032478968646836D-13 log_rel_run_E_err -10.1618158652068100 (age_target - star_age)/age_sigma 400 8.8888503660 reducing max timestep prior to age target 400 5.7777527379007339D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7153599665 reducing max timestep prior to age target 401 5.6649839782238007D+07 (age_target - star_age)/age_sigma 402 8.5453393750 reducing max timestep prior to age target 402 5.5544705937403679D+07 (age_target - star_age)/age_sigma 403 8.3787191953 reducing max timestep prior to age target 403 5.4461674769466400D+07 (age_target - star_age)/age_sigma 404 8.2154314192 reducing max timestep prior to age target 404 5.3400304224887848D+07 (age_target - star_age)/age_sigma 405 8.0554093986 reducing max timestep prior to age target 405 5.2360161091199875D+07 (age_target - star_age)/age_sigma 406 7.8985878185 reducing max timestep prior to age target 406 5.1340820820186615D+07 (age_target - star_age)/age_sigma 407 7.7449026699 reducing max timestep prior to age target 407 5.0341867354594231D+07 (age_target - star_age)/age_sigma 408 7.5942912244 reducing max timestep prior to age target 408 4.9362892958312988D+07 (age_target - star_age)/age_sigma 409 7.4466920077 reducing max timestep prior to age target 409 4.8403498049957275D+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 2.0287560416160074D-13 log_rel_run_E_err -10.1497420737136821 (age_target - star_age)/age_sigma 410 7.3020447753 reducing max timestep prior to age target 410 4.7463291039769173D+07 (age_target - star_age)/age_sigma 411 7.1602904877 reducing max timestep prior to age target 411 4.6541888169784546D+07 (age_target - star_age)/age_sigma 412 7.0213712857 reducing max timestep prior to age target 412 4.5638913357199669D+07 (age_target - star_age)/age_sigma 413 6.8852304678 reducing max timestep prior to age target 413 4.4753998040865898D+07 (age_target - star_age)/age_sigma 414 6.7518124663 reducing max timestep prior to age target 414 4.3886781030858994D+07 (age_target - star_age)/age_sigma 415 6.6210628248 reducing max timestep prior to age target 415 4.3036908361052513D+07 (age_target - star_age)/age_sigma 416 6.4929281761 reducing max timestep prior to age target 416 4.2204033144641876D+07 (age_target - star_age)/age_sigma 417 6.3673562204 reducing max timestep prior to age target 417 4.1387815432559967D+07 (age_target - star_age)/age_sigma 418 6.2442957038 reducing max timestep prior to age target 418 4.0587922074719429D+07 (age_target - star_age)/age_sigma 419 6.1236963975 reducing max timestep prior to age target 419 3.9804026584035873D+07 420 7.192253 5679.282 -0.009502 -0.009502 1.000000 1.000000 0.356331 0.005261 0.241496 -1.522762 522 0 5.8855E+00 7.192253 0.009342 -42.734247 -1.628981 -99.000000 0.000000 0.623874 0.008568 0.016956 0.118370 3 4.5305E+09 2.172982 -0.009448 -15.653560 -99.000000 -6.910151 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8839214871215188D-13 log_rel_run_E_err -10.1381068245459609 (age_target - star_age)/age_sigma 420 6.0055090774 reducing max timestep prior to age target 420 3.9035809003166199D+07 (age_target - star_age)/age_sigma 421 5.8896855037 reducing max timestep prior to age target 421 3.8282955773912430D+07 (age_target - star_age)/age_sigma 422 5.7761784014 reducing max timestep prior to age target 422 3.7545159609245300D+07 (age_target - star_age)/age_sigma 423 5.6649414412 reducing max timestep prior to age target 423 3.6822119367871284D+07 (age_target - star_age)/age_sigma 424 5.5559292202 reducing max timestep prior to age target 424 3.6113539931324005D+07 (age_target - star_age)/age_sigma 426 5.3422652670 reducing max timestep prior to age target 426 3.4724724235692024D+07 (age_target - star_age)/age_sigma 427 5.2375699300 reducing max timestep prior to age target 427 3.4044204544832230D+07 (age_target - star_age)/age_sigma 428 5.1349684997 reducing max timestep prior to age target 428 3.3377295247789383D+07 (age_target - star_age)/age_sigma 429 5.0344190980 reducing max timestep prior to age target 429 3.2723724136688232D+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 2.0115784955245244D-13 log_rel_run_E_err -10.1269327439619552 (age_target - star_age)/age_sigma 430 4.9357049980 reducing max timestep prior to age target 430 3.2082082486948967D+07 (age_target - star_age)/age_sigma 431 4.8369908980 reducing max timestep prior to age target 431 3.1440440837209702D+07 (age_target - star_age)/age_sigma 432 4.7382767981 reducing max timestep prior to age target 432 3.0798799187470436D+07 (age_target - star_age)/age_sigma 433 4.6395626981 reducing max timestep prior to age target 433 3.0157157537731171D+07 (age_target - star_age)/age_sigma 434 4.5408485982 remaining steps and years until age target 434 46 2.9515515887992859D+07 (age_target - star_age)/age_sigma 435 4.4421344982 reducing max timestep prior to age target 435 2.8873874238253593D+07 (age_target - star_age)/age_sigma 436 4.3434203982 reducing max timestep prior to age target 436 2.8232232588514328D+07 (age_target - star_age)/age_sigma 437 4.2447062983 reducing max timestep prior to age target 437 2.7590590938775063D+07 (age_target - star_age)/age_sigma 438 4.1459921983 reducing max timestep prior to age target 438 2.6948949289035797D+07 (age_target - star_age)/age_sigma 439 4.0472780984 reducing max timestep prior to age target 439 2.6307307639296532D+07 440 7.192503 5679.504 -0.009028 -0.009028 1.000000 1.000000 0.355175 0.005265 0.241415 -1.522135 522 0 5.8073E+00 7.192503 0.009545 -42.718292 -1.628169 -99.000000 0.000000 0.625030 0.008563 0.016951 0.118528 3 4.5438E+09 2.173979 -0.008975 -15.954590 -99.000000 -6.910485 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.9029591482958428D-13 log_rel_run_E_err -10.1160590844355252 (age_target - star_age)/age_sigma 440 3.9485639984 reducing max timestep prior to age target 440 2.5665665989557266D+07 (age_target - star_age)/age_sigma 441 3.8498498984 remaining steps and years until age target 441 39 2.5024024339818954D+07 (age_target - star_age)/age_sigma 442 3.7511357985 reducing max timestep prior to age target 442 2.4382382690079689D+07 (age_target - star_age)/age_sigma 443 3.6524216985 reducing max timestep prior to age target 443 2.3740741040340424D+07 (age_target - star_age)/age_sigma 444 3.5537075986 reducing max timestep prior to age target 444 2.3099099390601158D+07 (age_target - star_age)/age_sigma 445 3.4549934986 reducing max timestep prior to age target 445 2.2457457740861893D+07 (age_target - star_age)/age_sigma 446 3.3562793986 reducing max timestep prior to age target 446 2.1815816091122627D+07 (age_target - star_age)/age_sigma 447 3.2575652987 reducing max timestep prior to age target 447 2.1174174441383362D+07 (age_target - star_age)/age_sigma 448 3.1588511987 remaining steps and years until age target 448 32 2.0532532791645050D+07 (age_target - star_age)/age_sigma 449 3.0601370988 reducing max timestep prior to age target 449 1.9890891141905785D+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 1.8284028853990434D-13 log_rel_run_E_err -10.1056544018172048 (age_target - star_age)/age_sigma 450 2.9614229988 reducing max timestep prior to age target 450 1.9249249492166519D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8627088988 remaining steps and years until age target 451 29 1.8607607842428207D+07 (age_target - star_age)/age_sigma 452 2.7639947989 reducing max timestep prior to age target 452 1.7965966192688942D+07 (age_target - star_age)/age_sigma 453 2.6652806989 reducing max timestep prior to age target 453 1.7324324542949677D+07 (age_target - star_age)/age_sigma 454 2.5665665990 remaining steps and years until age target 454 26 1.6682682893211365D+07 (age_target - star_age)/age_sigma 455 2.4678524990 reducing max timestep prior to age target 455 1.6041041243472099D+07 (age_target - star_age)/age_sigma 456 2.3691383990 remaining steps and years until age target 456 24 1.5399399593733788D+07 (age_target - star_age)/age_sigma 457 2.2704242991 reducing max timestep prior to age target 457 1.4757757943994522D+07 (age_target - star_age)/age_sigma 458 2.1717101991 reducing max timestep prior to age target 458 1.4116116294255257D+07 (age_target - star_age)/age_sigma 459 2.0729960992 reducing max timestep prior to age target 459 1.3474474644515991D+07 460 7.192743 5679.717 -0.008572 -0.008572 1.000000 1.000000 0.354064 0.005270 0.241337 -1.521532 522 0 5.8073E+00 7.192743 0.009740 -42.702957 -1.627387 -99.000000 0.000000 0.626139 0.008559 0.016946 0.118679 3 4.5567E+09 2.174937 -0.008519 -15.653560 -99.000000 -6.910805 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.9326418886341569D-13 log_rel_run_E_err -10.0955041290533121 (age_target - star_age)/age_sigma 460 1.9742819992 remaining steps and years until age target 460 20 1.2832832994777679D+07 (age_target - star_age)/age_sigma 461 1.8755678992 remaining steps and years until age target 461 19 1.2191191345039368D+07 (age_target - star_age)/age_sigma 462 1.7768537993 reducing max timestep prior to age target 462 1.1549549695300102D+07 (age_target - star_age)/age_sigma 463 1.6781396993 reducing max timestep prior to age target 463 1.0907908045560837D+07 (age_target - star_age)/age_sigma 464 1.5794255994 remaining steps and years until age target 464 16 1.0266266395822525D+07 (age_target - star_age)/age_sigma 465 1.4807114994 reducing max timestep prior to age target 465 9.6246247460832596D+06 (age_target - star_age)/age_sigma 466 1.3819973994 reducing max timestep prior to age target 466 8.9829830963439941D+06 (age_target - star_age)/age_sigma 467 1.2832832995 remaining steps and years until age target 467 13 8.3413414466056824D+06 (age_target - star_age)/age_sigma 468 1.1845691995 reducing max timestep prior to age target 468 7.6996997968664169D+06 (age_target - star_age)/age_sigma 469 1.0858550996 remaining steps and years until age target 469 11 7.0580581471281052D+06 470 7.192864 5679.823 -0.008344 -0.008344 1.000000 1.000000 0.353509 0.005272 0.241297 -1.521230 522 0 5.8073E+00 7.192864 0.009838 -42.695283 -1.626996 -99.000000 0.000000 0.626695 0.008556 0.016944 0.118756 3 4.5631E+09 2.175417 -0.008292 -15.653560 -99.000000 -6.910965 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8666029899330234D-13 log_rel_run_E_err -10.0854106833722064 (age_target - star_age)/age_sigma 470 0.9871409996 reducing max timestep prior to age target 470 6.4164164973888397D+06 (age_target - star_age)/age_sigma 471 0.8884268996 remaining steps and years until age target 471 9 5.7747748476505280D+06 (age_target - star_age)/age_sigma 472 0.7897127997 reducing max timestep prior to age target 472 5.1331331979112625D+06 (age_target - star_age)/age_sigma 473 0.6909986997 reducing max timestep prior to age target 473 4.4914915481719971D+06 (age_target - star_age)/age_sigma 474 0.5922845998 remaining steps and years until age target 474 6 3.8498498984336853D+06 (age_target - star_age)/age_sigma 475 0.4935704998 reducing max timestep prior to age target 475 3.2082082486944199D+06 (age_target - star_age)/age_sigma 476 0.3948563998 reducing max timestep prior to age target 476 2.5665665989551544D+06 (age_target - star_age)/age_sigma 477 0.2961422999 remaining steps and years until age target 477 3 1.9249249492168427D+06 (age_target - star_age)/age_sigma 478 0.1974281999 remaining steps and years until age target 478 2 1.2832832994785309D+06 (age_target - star_age)/age_sigma 479 0.0987141000 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 -99.000000 -99.000000 -6.911126 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8899580828019373D-13 log_rel_run_E_err -10.0755635744709302 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333512.84 0.00 333512.84 save outputs/best.mod 480 save outputs/best.profile for model 480 save LOGS/profile11.data for model 480 have reached age_target save LOGS/profile11.data for model 480 solver retries 1 varcontrol dt limit 40 max increase dt limit 535 lgRho_cntr dt limit 19 model saved to final.mod save photos/x480 for model 480 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333512.84 0.00 333512.84 have reached age_target runtime (minutes), retries, steps 3.12 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 -99.000000 -99.000000 -6.911126 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8899580828019373D-13 log_rel_run_E_err -10.0755635744709302 Teff 5679.9294383766 radius 1.0231407131 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 535.4926038603 M_H -0.0017395982 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 3.0262018779 log_R 0.0099353666 delta_nu 136.8076227270 nu_max 2964.0776267830 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 333512.8396019127 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 "7925f3a" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251017" "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 3.3351283960191271E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383765982E+03 1.0231407131234167E+00 -1.7395981943719165E-03 9.9353665865764985E-03 1.3680762272704359E+02 2.9640776267829979E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191271E+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 3.9562810869851778D-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 1.8246319607504208D-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 -99.000000 -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 2.4692958051424622D-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 -20.169010 -99.000000 -6.905533 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6509301733712680D-13 log_rel_run_E_err -11.5748836411903220 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 -99.000000 -99.000000 -6.906464 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5771908077130962D-13 log_rel_run_E_err -11.2751491037524119 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 -99.000000 -99.000000 -6.907161 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.8666178132978358D-13 log_rel_run_E_err -11.1007103828637330 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 -20.771070 -99.000000 -6.907300 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6435562240799006D-13 log_rel_run_E_err -10.9757968877746990 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 -99.000000 -99.000000 -6.907303 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7707565620817450D-13 log_rel_run_E_err -10.8785810769779498 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 -20.470040 -99.000000 -6.907293 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6398688029959486D-13 log_rel_run_E_err -10.7995088712995013 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 2.6730490671125910D-13 log_rel_run_E_err -10.7315084598240222 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 -99.000000 -99.000000 -6.907190 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6877817083617585D-13 log_rel_run_E_err -10.6723233415915075 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 -99.000000 -99.000000 -6.907082 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.1172013757697847D-13 log_rel_run_E_err -10.6188248151267253 __________________________________________________________________________________________________________________________________________________ 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 3.5404171921465635D-13 log_rel_run_E_err -10.5563020384120687 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 -99.000000 -99.000000 -6.906027 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6908713514913481D-13 log_rel_run_E_err -10.4874984907218209 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 -20.470040 -99.000000 -6.900603 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 6.3713280515768433D-14 log_rel_run_E_err -10.4579761204178716 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 -99.000000 -99.000000 -6.869567 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.9092722591196720D-12 log_rel_run_E_err -10.3799243961358663 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 -19.566950 -99.000000 -6.746359 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5584841201602125D-13 log_rel_run_E_err -10.2467515006278838 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 4 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 2.2227524773775463D-13 log_rel_run_E_err -10.2573984533195439 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 1.7714027542919766D-13 log_rel_run_E_err -10.3904497817575834 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 -99.000000 -99.000000 -6.836106 0.000000 0.002327 0.001916 0.018522 0.000E+00 max increase rel_E_err 1.9455118345380400D-13 log_rel_run_E_err -10.5035875398557099 (age_target - star_age)/age_sigma 173 694.9716042377 reducing max timestep prior to age target 173 4.5173154275453634D+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 -15.352530 -99.000000 -6.836266 0.000000 0.000033 0.001918 0.018918 0.000E+00 max increase rel_E_err 1.8013314550176811D-13 log_rel_run_E_err -10.4822577095063867 (age_target - star_age)/age_sigma 181 677.3258369151 reducing max timestep prior to age target 181 4.4026179399478388D+09 (age_target - star_age)/age_sigma 183 667.2087998092 reducing max timestep prior to age target 183 4.3368571987598972D+09 (age_target - star_age)/age_sigma 185 652.6402663768 reducing max timestep prior to age target 185 4.2421617314492617D+09 (age_target - star_age)/age_sigma 187 631.6615782341 reducing max timestep prior to age target 187 4.1058002585219460D+09 (age_target - star_age)/age_sigma 188 619.3426343765 reducing max timestep prior to age target 188 4.0257271234469662D+09 (age_target - star_age)/age_sigma 189 607.2700693959 reducing max timestep prior to age target 189 3.9472554510734863D+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 -15.954590 -99.000000 -6.850818 0.000000 0.000015 0.001925 0.018999 0.000E+00 max_dt rel_E_err 1.8600488368245872D-13 log_rel_run_E_err -10.4597390075721890 (age_target - star_age)/age_sigma 190 595.4389557150 reducing max timestep prior to age target 190 3.8703532121474762D+09 (age_target - star_age)/age_sigma 191 583.8444643077 reducing max timestep prior to age target 191 3.7949890179999857D+09 (age_target - star_age)/age_sigma 192 572.4818627285 reducing max timestep prior to age target 192 3.7211321077354455D+09 (age_target - star_age)/age_sigma 193 561.3465131810 reducing max timestep prior to age target 193 3.6487523356761961D+09 (age_target - star_age)/age_sigma 194 550.4338706243 reducing max timestep prior to age target 194 3.5778201590581312D+09 (age_target - star_age)/age_sigma 195 539.7394809188 reducing max timestep prior to age target 195 3.5083066259724283D+09 (age_target - star_age)/age_sigma 196 529.2589790075 reducing max timestep prior to age target 196 3.4401833635484390D+09 (age_target - star_age)/age_sigma 197 518.9880871343 reducing max timestep prior to age target 197 3.3734225663729296D+09 (age_target - star_age)/age_sigma 198 508.9226130986 reducing max timestep prior to age target 198 3.3079969851409302D+09 (age_target - star_age)/age_sigma 199 499.0584485436 reducing max timestep prior to age target 199 3.2438799155335712D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.155900 5707.373 -0.064626 -0.064626 1.000000 1.000000 0.587115 0.004706 0.273042 -1.648742 513 1 7.7982E+00 7.155900 -0.022494 -45.340680 -1.721183 -99.000000 0.000000 0.393792 0.008653 0.017773 0.093411 10 1.3885E+09 1.999418 -0.064550 -15.653560 -99.000000 -6.867581 0.000000 0.000015 0.001935 0.019093 0.000E+00 max_dt rel_E_err 2.0300816272814724D-13 log_rel_run_E_err -10.4378691586601082 (age_target - star_age)/age_sigma 200 489.3915672797 reducing max timestep prior to age target 200 3.1810451873183594D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.9180236411 reducing max timestep prior to age target 201 3.1194671536674514D+09 (age_target - star_age)/age_sigma 202 470.6339508753 reducing max timestep prior to age target 202 3.0591206806895618D+09 (age_target - star_age)/age_sigma 203 461.5355595648 reducing max timestep prior to age target 203 2.9999811371712298D+09 (age_target - star_age)/age_sigma 204 452.6191360805 reducing max timestep prior to age target 204 2.9420243845232649D+09 (age_target - star_age)/age_sigma 205 443.8810410659 reducing max timestep prior to age target 205 2.8852267669282589D+09 (age_target - star_age)/age_sigma 206 435.3177079516 reducing max timestep prior to age target 206 2.8295651016851530D+09 (age_target - star_age)/age_sigma 207 426.9256414995 reducing max timestep prior to age target 207 2.7750166697469091D+09 (age_target - star_age)/age_sigma 208 418.7014163765 reducing max timestep prior to age target 208 2.7215592064474306D+09 (age_target - star_age)/age_sigma 209 410.6416757560 reducing max timestep prior to age target 209 2.6691708924139414D+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 -15.176439 -99.000000 -6.881795 0.000000 0.000016 0.001943 0.019165 0.000E+00 max_dt rel_E_err 1.9719904333125023D-13 log_rel_run_E_err -10.4171252990397853 (age_target - star_age)/age_sigma 210 402.7431299479 reducing max timestep prior to age target 210 2.6178303446611218D+09 (age_target - star_age)/age_sigma 212 387.2619801639 reducing max timestep prior to age target 212 2.5172028710655956D+09 (age_target - star_age)/age_sigma 213 379.6762167698 reducing max timestep prior to age target 213 2.4678954090037880D+09 (age_target - star_age)/age_sigma 214 372.2421686436 reducing max timestep prior to age target 214 2.4195740961832161D+09 (age_target - star_age)/age_sigma 215 364.9568014799 reducing max timestep prior to age target 215 2.3722192096190557D+09 (age_target - star_age)/age_sigma 216 357.8171416594 reducing max timestep prior to age target 216 2.3258114207861791D+09 (age_target - star_age)/age_sigma 217 350.8202750354 reducing max timestep prior to age target 217 2.2803317877299595D+09 (age_target - star_age)/age_sigma 218 343.9633457438 reducing max timestep prior to age target 218 2.2357617473348646D+09 (age_target - star_age)/age_sigma 219 337.2435550381 reducing max timestep prior to age target 219 2.1920831077476716D+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 1.8303236127289933D-13 log_rel_run_E_err -10.3972111479293368 (age_target - star_age)/age_sigma 220 330.6581601465 reducing max timestep prior to age target 220 2.1492780409522223D+09 (age_target - star_age)/age_sigma 221 324.2044731527 reducing max timestep prior to age target 221 2.1073290754926825D+09 (age_target - star_age)/age_sigma 222 317.8798598988 reducing max timestep prior to age target 222 2.0662190893423328D+09 (age_target - star_age)/age_sigma 223 311.6817389100 reducing max timestep prior to age target 223 2.0259313029149904D+09 (age_target - star_age)/age_sigma 224 305.6075803410 reducing max timestep prior to age target 224 1.9864492722161942D+09 (age_target - star_age)/age_sigma 225 299.6549049433 reducing max timestep prior to age target 225 1.9477568821313748D+09 (age_target - star_age)/age_sigma 226 293.8212830536 reducing max timestep prior to age target 226 1.9098383398482513D+09 (age_target - star_age)/age_sigma 227 288.1043336017 reducing max timestep prior to age target 227 1.8726781684107904D+09 (age_target - star_age)/age_sigma 228 282.5017231388 reducing max timestep prior to age target 228 1.8362612004020791D+09 (age_target - star_age)/age_sigma 229 277.0111648852 reducing max timestep prior to age target 229 1.8005725717535419D+09 230 7.178119 5737.907 -0.016350 -0.016350 1.000000 1.000000 0.462863 0.004904 0.262321 -1.597159 516 1 7.5438E+00 7.178119 -0.002995 -43.775525 -1.654821 -99.000000 0.000000 0.517876 0.008564 0.017139 0.104154 10 2.8039E+09 2.088968 -0.016283 -99.000000 -99.000000 -6.904170 0.000000 0.000018 0.001954 0.019261 0.000E+00 max_dt rel_E_err 1.7476498419293952D-13 log_rel_run_E_err -10.3781003412234547 (age_target - star_age)/age_sigma 230 271.6304177966 reducing max timestep prior to age target 230 1.7655977156779752D+09 (age_target - star_age)/age_sigma 231 266.3572856498 reducing max timestep prior to age target 231 1.7313223567239199D+09 (age_target - star_age)/age_sigma 232 261.1896161460 reducing max timestep prior to age target 232 1.6977325049489455D+09 (age_target - star_age)/age_sigma 233 256.1253000322 reducing max timestep prior to age target 233 1.6648144502094707D+09 (age_target - star_age)/age_sigma 234 251.1622702407 reducing max timestep prior to age target 234 1.6325547565647855D+09 (age_target - star_age)/age_sigma 235 246.2985010451 reducing max timestep prior to age target 235 1.6009402567929940D+09 (age_target - star_age)/age_sigma 236 241.5320072333 reducing max timestep prior to age target 236 1.5699580470166388D+09 (age_target - star_age)/age_sigma 237 236.8608432978 reducing max timestep prior to age target 237 1.5395954814358101D+09 (age_target - star_age)/age_sigma 238 232.2831026410 reducing max timestep prior to age target 238 1.5098401671665983D+09 (age_target - star_age)/age_sigma 239 227.7969167973 reducing max timestep prior to age target 239 1.4806799591827703D+09 240 7.183634 5743.868 -0.005056 -0.005056 1.000000 1.000000 0.434282 0.004977 0.259964 -1.584212 516 1 7.4560E+00 7.183634 0.001748 -43.406551 -1.637388 -99.000000 0.000000 0.546426 0.008509 0.017000 0.107112 10 3.1174E+09 2.111019 -0.004992 -99.000000 -99.000000 -6.912670 0.000000 0.000018 0.001958 0.019292 0.000E+00 max_dt rel_E_err 1.8503075150293199D-13 log_rel_run_E_err -10.3597167185892118 (age_target - star_age)/age_sigma 240 223.4004546706 reducing max timestep prior to age target 240 1.4521029553586187D+09 (age_target - star_age)/age_sigma 241 219.0919217863 reducing max timestep prior to age target 241 1.4240974916109509D+09 (age_target - star_age)/age_sigma 242 214.8695595597 reducing max timestep prior to age target 242 1.3966521371382360D+09 (age_target - star_age)/age_sigma 243 210.7316445777 reducing max timestep prior to age target 243 1.3697556897549753D+09 (age_target - star_age)/age_sigma 244 206.6764878953 reducing max timestep prior to age target 244 1.3433971713193803D+09 (age_target - star_age)/age_sigma 246 198.7283807978 reducing max timestep prior to age target 246 1.2917344751856132D+09 (age_target - star_age)/age_sigma 247 194.8338083200 reducing max timestep prior to age target 247 1.2664197540800676D+09 (age_target - star_age)/age_sigma 248 191.0171272918 reducing max timestep prior to age target 248 1.2416113273966327D+09 (age_target - star_age)/age_sigma 249 187.2767798841 reducing max timestep prior to age target 249 1.2172990692468662D+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 1.8623989156845153D-13 log_rel_run_E_err -10.3420336878448751 (age_target - star_age)/age_sigma 250 183.6112394246 reducing max timestep prior to age target 250 1.1934730562600956D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 180.0190097743 reducing max timestep prior to age target 251 1.1701235635330606D+09 (age_target - star_age)/age_sigma 252 176.4986247170 reducing max timestep prior to age target 252 1.1472410606605659D+09 (age_target - star_age)/age_sigma 253 173.0486473608 reducing max timestep prior to age target 253 1.1248162078455210D+09 (age_target - star_age)/age_sigma 254 169.6676695518 reducing max timestep prior to age target 254 1.1028398520867767D+09 (age_target - star_age)/age_sigma 255 166.3543112990 reducing max timestep prior to age target 255 1.0813030234432077D+09 (age_target - star_age)/age_sigma 256 163.1072202112 reducing max timestep prior to age target 256 1.0601969313725104D+09 (age_target - star_age)/age_sigma 257 159.9250709451 reducing max timestep prior to age target 257 1.0395129611432266D+09 (age_target - star_age)/age_sigma 258 156.8065646644 reducing max timestep prior to age target 258 1.0192426703185287D+09 (age_target - star_age)/age_sigma 259 153.7504285093 reducing max timestep prior to age target 259 9.9937778531032467D+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 1.9130263894781723D-13 log_rel_run_E_err -10.3252804111692829 (age_target - star_age)/age_sigma 260 150.7554150773 reducing max timestep prior to age target 260 9.7991019800228453D+08 (age_target - star_age)/age_sigma 261 147.8203019139 reducing max timestep prior to age target 261 9.6083196244040585D+08 (age_target - star_age)/age_sigma 262 144.9438910138 reducing max timestep prior to age target 262 9.4213529158976412D+08 (age_target - star_age)/age_sigma 263 142.1250083317 reducing max timestep prior to age target 263 9.2381255415613508D+08 (age_target - star_age)/age_sigma 264 139.3625033033 reducing max timestep prior to age target 264 9.0585627147117901D+08 (age_target - star_age)/age_sigma 265 136.6552483754 reducing max timestep prior to age target 265 8.8825911443992186D+08 (age_target - star_age)/age_sigma 266 134.0021385460 reducing max timestep prior to age target 266 8.7101390054928970D+08 (age_target - star_age)/age_sigma 267 131.4020909133 reducing max timestep prior to age target 267 8.5411359093647051D+08 (age_target - star_age)/age_sigma 268 128.8540442332 reducing max timestep prior to age target 268 8.3755128751590776D+08 (age_target - star_age)/age_sigma 269 126.3569584867 reducing max timestep prior to age target 269 8.2132023016375637D+08 270 7.195855 5754.780 0.018967 0.018967 1.000000 1.000000 0.373711 0.005190 0.255140 -1.555464 517 1 7.2016E+00 7.195855 0.012106 -42.611117 -1.597601 -99.000000 0.000000 0.606949 0.008318 0.016715 0.114164 10 3.7641E+09 2.159660 0.019022 -15.653560 -99.000000 -6.930604 0.000000 0.000020 0.001966 0.019340 0.000E+00 max_dt rel_E_err 1.8585474209350110D-13 log_rel_run_E_err -10.3092457678706975 (age_target - star_age)/age_sigma 270 123.9098144552 reducing max timestep prior to age target 270 8.0541379395864773D+08 (age_target - star_age)/age_sigma 271 121.5116133043 reducing max timestep prior to age target 271 7.8982548647764158D+08 (age_target - star_age)/age_sigma 272 119.1613761763 reducing max timestep prior to age target 272 7.7454894514625502D+08 (age_target - star_age)/age_sigma 273 116.8581437910 reducing max timestep prior to age target 273 7.5957793464149618D+08 (age_target - star_age)/age_sigma 274 114.6009760534 reducing max timestep prior to age target 274 7.4490634434683275D+08 (age_target - star_age)/age_sigma 275 112.3889516705 reducing max timestep prior to age target 275 7.3052818585806274D+08 (age_target - star_age)/age_sigma 276 110.2211677752 reducing max timestep prior to age target 276 7.1643759053906822D+08 (age_target - star_age)/age_sigma 277 108.0967395579 reducing max timestep prior to age target 277 7.0262880712645340D+08 (age_target - star_age)/age_sigma 278 106.0147999049 reducing max timestep prior to age target 278 6.8909619938209105D+08 (age_target - star_age)/age_sigma 279 103.9744990450 reducing max timestep prior to age target 279 6.7583424379261541D+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 7 3.9067E+09 2.170991 0.024446 -15.653560 -99.000000 -6.934617 0.000000 0.000021 0.001968 0.019347 0.000E+00 max_dt rel_E_err 1.7054353022645521D-13 log_rel_run_E_err -10.2937080618253685 (age_target - star_age)/age_sigma 281 99.9755093596 reducing max timestep prior to age target 281 6.4984081083724356D+08 (age_target - star_age)/age_sigma 282 98.0160044137 reducing max timestep prior to age target 282 6.3710402868911123D+08 (age_target - star_age)/age_sigma 283 96.0956895668 reducing max timestep prior to age target 283 6.2462198218394184D+08 (age_target - star_age)/age_sigma 284 94.2137810168 reducing max timestep prior to age target 284 6.1238957660887575D+08 (age_target - star_age)/age_sigma 285 92.3695106377 reducing max timestep prior to age target 285 6.0040181914531088D+08 (age_target - star_age)/age_sigma 286 90.5621256663 reducing max timestep prior to age target 286 5.8865381683101749D+08 (age_target - star_age)/age_sigma 287 88.7908883943 reducing max timestep prior to age target 287 5.7714077456300974D+08 (age_target - star_age)/age_sigma 288 87.0550758677 reducing max timestep prior to age target 288 5.6585799314036179D+08 (age_target - star_age)/age_sigma 289 85.3539795917 reducing max timestep prior to age target 289 5.5480086734616756D+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 6 4.0255E+09 2.180623 0.028995 -99.000000 -99.000000 -6.937876 0.000000 0.000021 0.001969 0.019352 0.000E+00 max_dt rel_E_err 1.7297459327547482D-13 log_rel_run_E_err -10.2787970923170811 (age_target - star_age)/age_sigma 290 83.6869052412 reducing max timestep prior to age target 290 5.4396488406785727D+08 (age_target - star_age)/age_sigma 291 82.0531723777 reducing max timestep prior to age target 291 5.3334562045511293D+08 (age_target - star_age)/age_sigma 292 80.4521141715 reducing max timestep prior to age target 292 5.2293874211462355D+08 (age_target - star_age)/age_sigma 293 78.8830771294 reducing max timestep prior to age target 293 5.1274000134094381D+08 (age_target - star_age)/age_sigma 294 77.3454208281 reducing max timestep prior to age target 294 5.0274523538273764D+08 (age_target - star_age)/age_sigma 295 75.8385176529 reducing max timestep prior to age target 295 4.9295036474369621D+08 (age_target - star_age)/age_sigma 296 74.3617525411 reducing max timestep prior to age target 296 4.8335139151743507D+08 (age_target - star_age)/age_sigma 297 72.9145227316 reducing max timestep prior to age target 297 4.7394439775569916D+08 (age_target - star_age)/age_sigma 298 71.4962375183 reducing max timestep prior to age target 298 4.6472554386919785D+08 (age_target - star_age)/age_sigma 299 70.1063180093 reducing max timestep prior to age target 299 4.5569106706042624D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.203185 5759.479 0.032695 0.032695 1.000000 1.000000 0.339007 0.005363 0.252442 -1.538364 515 1 6.9471E+00 7.203185 0.018258 -42.146565 -1.573026 -99.000000 0.000000 0.641637 0.008147 0.016554 0.118763 5 4.1227E+09 2.188626 0.032742 -15.653560 -99.000000 -6.940621 0.000000 0.000022 0.001971 0.019355 0.000E+00 max_dt rel_E_err 1.8405773482032892D-13 log_rel_run_E_err -10.2639330377204274 (age_target - star_age)/age_sigma 300 68.7441968904 reducing max timestep prior to age target 300 4.4683727978783083D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.4093181940 reducing max timestep prior to age target 301 4.3816056826068687D+08 (age_target - star_age)/age_sigma 302 66.1011370714 reducing max timestep prior to age target 302 4.2965739096408606D+08 (age_target - star_age)/age_sigma 303 64.8191195713 reducing max timestep prior to age target 303 4.2132427721341705D+08 (age_target - star_age)/age_sigma 304 63.5627424212 reducing max timestep prior to age target 304 4.1315782573776150D+08 (age_target - star_age)/age_sigma 305 62.3314928141 reducing max timestep prior to age target 305 4.0515470329161930D+08 (age_target - star_age)/age_sigma 306 61.1248681991 reducing max timestep prior to age target 306 3.9731164329439974D+08 (age_target - star_age)/age_sigma 307 59.9423760765 reducing max timestep prior to age target 307 3.8962544449712420D+08 (age_target - star_age)/age_sigma 308 58.7835337963 reducing max timestep prior to age target 308 3.8209296967579412D+08 (age_target - star_age)/age_sigma 309 57.6478683617 reducing max timestep prior to age target 309 3.7471114435089111D+08 310 7.204865 5760.510 0.035774 0.035774 1.000000 1.000000 0.331203 0.005408 0.251835 -1.534436 516 1 6.8594E+00 7.204865 0.019641 -42.041184 -1.567316 -99.000000 0.000000 0.649440 0.008100 0.016518 0.119863 5 4.2020E+09 2.195260 0.035819 -99.000000 -99.000000 -6.942874 0.000000 0.000022 0.001972 0.019357 0.000E+00 max_dt rel_E_err 1.8062359444938446D-13 log_rel_run_E_err -10.2498917945952339 (age_target - star_age)/age_sigma 310 56.5349162358 reducing max timestep prior to age target 310 3.6747695553248596D+08 (age_target - star_age)/age_sigma 311 55.4442231524 reducing max timestep prior to age target 311 3.6038745049044895D+08 (age_target - star_age)/age_sigma 312 54.3753439307 reducing max timestep prior to age target 312 3.5343973554925299D+08 (age_target - star_age)/age_sigma 313 53.3278422934 reducing max timestep prior to age target 313 3.4663097490688086D+08 (age_target - star_age)/age_sigma 314 52.3012906888 reducing max timestep prior to age target 314 3.3995838947735596D+08 (age_target - star_age)/age_sigma 315 51.2952701164 reducing max timestep prior to age target 315 3.3341925575642157D+08 (age_target - star_age)/age_sigma 317 49.3234697944 reducing max timestep prior to age target 317 3.2060255366339016D+08 (age_target - star_age)/age_sigma 318 48.3572876366 reducing max timestep prior to age target 318 3.1432236963780499D+08 (age_target - star_age)/age_sigma 319 47.4104291220 reducing max timestep prior to age target 319 3.0816778929273129D+08 320 7.206265 5761.329 0.038319 0.038319 1.000000 1.000000 0.324741 0.005448 0.251342 -1.531154 516 1 6.7804E+00 7.206265 0.020789 -41.953694 -1.562539 -99.000000 0.000000 0.655900 0.008059 0.016488 0.120794 5 4.2674E+09 2.200788 0.038363 -99.000000 -99.000000 -6.944726 0.000000 0.000022 0.001972 0.019358 0.000E+00 max_dt rel_E_err 1.7825691181761194D-13 log_rel_run_E_err -10.2366468613534902 (age_target - star_age)/age_sigma 320 46.4825077776 reducing max timestep prior to age target 320 3.0213630055455923D+08 (age_target - star_age)/age_sigma 321 45.5731448602 reducing max timestep prior to age target 321 2.9622544159115076D+08 (age_target - star_age)/age_sigma 322 44.6819692011 reducing max timestep prior to age target 322 2.9043279980700970D+08 (age_target - star_age)/age_sigma 323 43.8086170552 reducing max timestep prior to age target 323 2.8475601085855198D+08 (age_target - star_age)/age_sigma 324 42.9527319522 reducing max timestep prior to age target 324 2.7919275768906307D+08 (age_target - star_age)/age_sigma 325 42.1139645512 reducing max timestep prior to age target 325 2.7374076958296490D+08 (age_target - star_age)/age_sigma 326 41.2919724983 reducing max timestep prior to age target 326 2.6839782123898792D+08 (age_target - star_age)/age_sigma 327 40.4864202864 reducing max timestep prior to age target 327 2.6316173186188984D+08 (age_target - star_age)/age_sigma 328 39.6969791188 reducing max timestep prior to age target 328 2.5803036427233505D+08 (age_target - star_age)/age_sigma 329 38.9233267745 reducing max timestep prior to age target 329 2.5300162403457069D+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 -15.176439 -99.000000 -6.946258 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt rel_E_err 1.7548056130796470D-13 log_rel_run_E_err -10.2235353619549496 (age_target - star_age)/age_sigma 330 38.1651474772 reducing max timestep prior to age target 330 2.4807345860156250D+08 (age_target - star_age)/age_sigma 331 37.4221317657 reducing max timestep prior to age target 331 2.4324385647721386D+08 (age_target - star_age)/age_sigma 332 36.6939763685 reducing max timestep prior to age target 332 2.3851084639535141D+08 (age_target - star_age)/age_sigma 333 35.9803840793 reducing max timestep prior to age target 333 2.3387249651512718D+08 (age_target - star_age)/age_sigma 334 35.2810636358 reducing max timestep prior to age target 334 2.2932691363250732D+08 (age_target - star_age)/age_sigma 335 34.5957296012 reducing max timestep prior to age target 335 2.2487224240753937D+08 (age_target - star_age)/age_sigma 336 33.9241022472 reducing max timestep prior to age target 336 2.2050666460707092D+08 (age_target - star_age)/age_sigma 337 33.2659074404 reducing max timestep prior to age target 337 2.1622839836261177D+08 (age_target - star_age)/age_sigma 338 32.6208765297 reducing max timestep prior to age target 338 2.1203569744304180D+08 (age_target - star_age)/age_sigma 339 31.9887462372 reducing max timestep prior to age target 339 2.0792685054186344D+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 -15.653560 -99.000000 -6.947510 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt rel_E_err 1.8870162239824770D-13 log_rel_run_E_err -10.2109317715398014 (age_target - star_age)/age_sigma 340 31.3692585506 reducing max timestep prior to age target 340 2.0390018057870960D+08 (age_target - star_age)/age_sigma 341 30.7621606177 reducing max timestep prior to age target 341 1.9995404401481724D+08 (age_target - star_age)/age_sigma 342 30.1672046434 reducing max timestep prior to age target 342 1.9608683018220329D+08 (age_target - star_age)/age_sigma 343 29.5841477887 reducing max timestep prior to age target 343 1.9229696062624168D+08 (age_target - star_age)/age_sigma 344 29.0127520710 reducing max timestep prior to age target 344 1.8858288846139908D+08 (age_target - star_age)/age_sigma 345 28.4527842677 reducing max timestep prior to age target 345 1.8494309773985386D+08 (age_target - star_age)/age_sigma 346 27.9040158204 reducing max timestep prior to age target 346 1.8137610283273983D+08 (age_target - star_age)/age_sigma 347 27.3662227421 reducing max timestep prior to age target 347 1.7788044782376671D+08 (age_target - star_age)/age_sigma 348 26.8391855254 reducing max timestep prior to age target 348 1.7445470591497421D+08 (age_target - star_age)/age_sigma 349 26.3226890530 reducing max timestep prior to age target 349 1.7109747884435749D+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 -15.653560 -99.000000 -6.948532 0.000000 0.000023 0.001974 0.019360 0.000E+00 max_dt rel_E_err 1.7857762276501448D-13 log_rel_run_E_err -10.1984571689408341 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.3103559671 reducing max timestep prior to age target 351 1.6451731378594780D+08 (age_target - star_age)/age_sigma 352 24.8143127550 reducing max timestep prior to age target 352 1.6129303290732765D+08 (age_target - star_age)/age_sigma 353 24.3281904071 reducing max timestep prior to age target 353 1.5813323764627934D+08 (age_target - star_age)/age_sigma 354 23.8517905062 reducing max timestep prior to age target 354 1.5503663829045200D+08 (age_target - star_age)/age_sigma 355 23.3849186033 reducing max timestep prior to age target 355 1.5200197092174149D+08 (age_target - star_age)/age_sigma 356 22.9273841385 reducing max timestep prior to age target 356 1.4902799690040493D+08 (age_target - star_age)/age_sigma 357 22.4790003630 reducing max timestep prior to age target 357 1.4611350235949516D+08 (age_target - star_age)/age_sigma 358 22.0395842630 reducing max timestep prior to age target 358 1.4325729770940399D+08 (age_target - star_age)/age_sigma 359 21.6089564850 reducing max timestep prior to age target 359 1.4045821715231419D+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 -15.653560 -99.000000 -6.949384 0.000000 0.000023 0.001974 0.019360 0.000E+00 max_dt rel_E_err 1.8065925739616391D-13 log_rel_run_E_err -10.1864112542674548 (age_target - star_age)/age_sigma 360 21.1869412625 reducing max timestep prior to age target 360 1.3771511820636654D+08 (age_target - star_age)/age_sigma 361 20.7733663445 reducing max timestep prior to age target 361 1.3502688123933697D+08 (age_target - star_age)/age_sigma 362 20.3680629249 reducing max timestep prior to age target 362 1.3239240901164913D+08 (age_target - star_age)/age_sigma 363 19.9708655736 reducing max timestep prior to age target 363 1.2981062622851467D+08 (age_target - star_age)/age_sigma 364 19.5816121694 reducing max timestep prior to age target 364 1.2728047910104275D+08 (age_target - star_age)/age_sigma 365 19.2001438332 reducing max timestep prior to age target 365 1.2480093491611958D+08 (age_target - star_age)/age_sigma 366 18.8263048638 reducing max timestep prior to age target 366 1.2237098161489582D+08 (age_target - star_age)/age_sigma 367 18.4599426738 reducing max timestep prior to age target 367 1.1998962737969589D+08 (age_target - star_age)/age_sigma 368 18.1009077276 reducing max timestep prior to age target 368 1.1765590022920036D+08 (age_target - star_age)/age_sigma 369 17.7490534803 reducing max timestep prior to age target 369 1.1536884762171555D+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 1.7727707266271425D-13 log_rel_run_E_err -10.1748687647372975 (age_target - star_age)/age_sigma 370 17.4042363179 reducing max timestep prior to age target 370 1.1312753606637955D+08 (age_target - star_age)/age_sigma 371 17.0663154988 reducing max timestep prior to age target 371 1.1093105074215031D+08 (age_target - star_age)/age_sigma 372 16.7351530961 reducing max timestep prior to age target 372 1.0877849512440586D+08 (age_target - star_age)/age_sigma 373 16.4106139414 reducing max timestep prior to age target 373 1.0666899061901569D+08 (age_target - star_age)/age_sigma 374 16.0925655698 reducing max timestep prior to age target 374 1.0460167620373440D+08 (age_target - star_age)/age_sigma 375 15.7808781657 reducing max timestep prior to age target 375 1.0257570807675743D+08 (age_target - star_age)/age_sigma 376 15.4754245096 reducing max timestep prior to age target 376 1.0059025931232071D+08 (age_target - star_age)/age_sigma 377 15.1760799266 reducing max timestep prior to age target 377 9.8644519523173332D+07 (age_target - star_age)/age_sigma 378 14.8827222354 reducing max timestep prior to age target 378 9.6737694529808044D+07 (age_target - star_age)/age_sigma 379 14.5952316979 reducing max timestep prior to age target 379 9.4869006036310196D+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 1.7621168156727052D-13 log_rel_run_E_err -10.1632483304922818 (age_target - star_age)/age_sigma 380 14.3134909712 reducing max timestep prior to age target 380 9.3037691312682152D+07 (age_target - star_age)/age_sigma 381 14.0373850590 reducing max timestep prior to age target 381 9.1243002883526802D+07 (age_target - star_age)/age_sigma 382 13.7668012651 reducing max timestep prior to age target 382 8.9484208222955704D+07 (age_target - star_age)/age_sigma 383 13.5016291470 reducing max timestep prior to age target 383 8.7760589455595016D+07 (age_target - star_age)/age_sigma 384 13.2417604713 reducing max timestep prior to age target 384 8.6071443063581467D+07 (age_target - star_age)/age_sigma 385 12.9870891691 reducing max timestep prior to age target 385 8.4416079599408150D+07 (age_target - star_age)/age_sigma 387 12.4879334169 reducing max timestep prior to age target 387 8.1171567209628105D+07 (age_target - star_age)/age_sigma 388 12.2433470983 reducing max timestep prior to age target 388 7.9581756138636589D+07 (age_target - star_age)/age_sigma 389 12.0036525060 reducing max timestep prior to age target 389 7.8023741289063454D+07 390 7.211219 5763.918 0.047178 0.047178 1.000000 1.000000 0.302162 0.005602 0.249676 -1.519498 517 1 6.1838E+00 7.211219 0.024826 -41.646221 -1.545495 -99.000000 0.000000 0.678479 0.007897 0.016387 0.124195 5 4.4930E+09 2.220363 0.047216 -99.000000 -99.000000 -6.951118 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8440073533987652D-13 log_rel_run_E_err -10.1521214896282945 (age_target - star_age)/age_sigma 390 11.7687518056 reducing max timestep prior to age target 390 7.6496886736482620D+07 (age_target - star_age)/age_sigma 391 11.5385491192 reducing max timestep prior to age target 391 7.5000569274953842D+07 (age_target - star_age)/age_sigma 392 11.3129504866 reducing max timestep prior to age target 392 7.3534178162654877D+07 (age_target - star_age)/age_sigma 393 11.0918638266 reducing max timestep prior to age target 393 7.2097114872602463D+07 (age_target - star_age)/age_sigma 394 10.8751988997 reducing max timestep prior to age target 394 7.0688792848351479D+07 (age_target - star_age)/age_sigma 395 10.6628672715 reducing max timestep prior to age target 395 6.9308637264584541D+07 (age_target - star_age)/age_sigma 396 10.4547822758 reducing max timestep prior to age target 396 6.7956084792493820D+07 (age_target - star_age)/age_sigma 397 10.2508589800 reducing max timestep prior to age target 397 6.6630583369844437D+07 (age_target - star_age)/age_sigma 398 10.0510141501 reducing max timestep prior to age target 398 6.5331591975647926D+07 (age_target - star_age)/age_sigma 399 9.8551662168 reducing max timestep prior to age target 399 6.4058580409336090D+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 1.8060680855066449D-13 log_rel_run_E_err -10.1412747812067874 (age_target - star_age)/age_sigma 400 9.6632352422 reducing max timestep prior to age target 400 6.2811029074350357D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4751428871 reducing max timestep prior to age target 401 6.1588428766063690D+07 (age_target - star_age)/age_sigma 402 9.2908123791 reducing max timestep prior to age target 402 6.0390280463942528D+07 (age_target - star_age)/age_sigma 403 9.1101684812 reducing max timestep prior to age target 403 5.9216095127863884D+07 (age_target - star_age)/age_sigma 404 8.9331374613 reducing max timestep prior to age target 404 5.8065393498507500D+07 (age_target - star_age)/age_sigma 405 8.7596470618 reducing max timestep prior to age target 405 5.6937705901738167D+07 (age_target - star_age)/age_sigma 406 8.5896264703 reducing max timestep prior to age target 406 5.5832572056903839D+07 (age_target - star_age)/age_sigma 407 8.4230062906 reducing max timestep prior to age target 407 5.4749540888965607D+07 (age_target - star_age)/age_sigma 408 8.2597185145 reducing max timestep prior to age target 408 5.3688170344387054D+07 (age_target - star_age)/age_sigma 409 8.0996964940 reducing max timestep prior to age target 409 5.2648027210700035D+07 410 7.211777 5764.044 0.048158 0.048158 1.000000 1.000000 0.299647 0.005621 0.249495 -1.518180 516 1 6.0083E+00 7.211777 0.025296 -41.611817 -1.543566 -99.000000 0.000000 0.680994 0.007877 0.016377 0.124589 3 4.5179E+09 2.222569 0.048196 -99.000000 -99.000000 -6.951791 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7723528104880108D-13 log_rel_run_E_err -10.1302495072267504 (age_target - star_age)/age_sigma 410 7.9428749138 reducing max timestep prior to age target 410 5.1628686939686775D+07 (age_target - star_age)/age_sigma 411 7.7891897652 reducing max timestep prior to age target 411 5.0629733474093437D+07 (age_target - star_age)/age_sigma 412 7.6385783197 reducing max timestep prior to age target 412 4.9650759077812195D+07 (age_target - star_age)/age_sigma 413 7.4909791030 reducing max timestep prior to age target 413 4.8691364169456482D+07 (age_target - star_age)/age_sigma 414 7.3463318707 reducing max timestep prior to age target 414 4.7751157159268379D+07 (age_target - star_age)/age_sigma 415 7.2045775830 reducing max timestep prior to age target 415 4.6829754289283752D+07 (age_target - star_age)/age_sigma 416 7.0656583810 reducing max timestep prior to age target 416 4.5926779476698875D+07 (age_target - star_age)/age_sigma 417 6.9295175631 reducing max timestep prior to age target 417 4.5041864160365105D+07 (age_target - star_age)/age_sigma 418 6.7960995616 reducing max timestep prior to age target 418 4.4174647150359154D+07 (age_target - star_age)/age_sigma 419 6.6653499201 reducing max timestep prior to age target 419 4.3324774480551720D+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 -15.653560 -99.000000 -6.952049 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.9173550678467963D-13 log_rel_run_E_err -10.1196822436780671 (age_target - star_age)/age_sigma 421 6.4090806227 reducing max timestep prior to age target 421 4.1659024047731400D+07 (age_target - star_age)/age_sigma 422 6.2835086670 reducing max timestep prior to age target 422 4.0842806335649490D+07 (age_target - star_age)/age_sigma 423 6.1604481504 reducing max timestep prior to age target 423 4.0042912977808952D+07 (age_target - star_age)/age_sigma 424 6.0398488442 reducing max timestep prior to age target 424 3.9259017487125397D+07 (age_target - star_age)/age_sigma 425 5.9216615240 reducing max timestep prior to age target 425 3.8490799906254768D+07 (age_target - star_age)/age_sigma 426 5.8058379503 reducing max timestep prior to age target 426 3.7737946677001953D+07 (age_target - star_age)/age_sigma 427 5.6923308481 reducing max timestep prior to age target 427 3.7000150512334824D+07 (age_target - star_age)/age_sigma 428 5.5810938878 reducing max timestep prior to age target 428 3.6277110270959854D+07 (age_target - star_age)/age_sigma 429 5.4720816668 reducing max timestep prior to age target 429 3.5568530834413528D+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 -15.653560 -99.000000 -6.952265 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7596277738597297D-13 log_rel_run_E_err -10.1093383301352446 (age_target - star_age)/age_sigma 430 5.3652496902 reducing max timestep prior to age target 430 3.4874122986597061D+07 (age_target - star_age)/age_sigma 431 5.2605543532 reducing max timestep prior to age target 431 3.4193603295737267D+07 (age_target - star_age)/age_sigma 432 5.1579529229 reducing max timestep prior to age target 432 3.3526693998695374D+07 (age_target - star_age)/age_sigma 433 5.0574035212 reducing max timestep prior to age target 433 3.2873122887593269D+07 (age_target - star_age)/age_sigma 434 4.9582387462 remaining steps and years until age target 434 50 3.2228551850582123D+07 (age_target - star_age)/age_sigma 435 4.8590739713 reducing max timestep prior to age target 435 3.1583980813570023D+07 (age_target - star_age)/age_sigma 436 4.7599091964 remaining steps and years until age target 436 48 3.0939409776558876D+07 (age_target - star_age)/age_sigma 437 4.6607444215 reducing max timestep prior to age target 437 3.0294838739546776D+07 (age_target - star_age)/age_sigma 438 4.5615796465 reducing max timestep prior to age target 438 2.9650267702534676D+07 (age_target - star_age)/age_sigma 439 4.4624148716 remaining steps and years until age target 439 45 2.9005696665523529D+07 440 7.212301 5764.284 0.049079 0.049079 1.000000 1.000000 0.297289 0.005638 0.249326 -1.516941 516 1 5.8093E+00 7.212301 0.025720 -41.579526 -1.541749 -99.000000 0.000000 0.683352 0.007858 0.016366 0.124961 3 4.5411E+09 2.224642 0.049116 -15.352530 -99.000000 -6.952449 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7490738984227632D-13 log_rel_run_E_err -10.0992257623768733 (age_target - star_age)/age_sigma 440 4.3632500967 reducing max timestep prior to age target 440 2.8361125628511429D+07 (age_target - star_age)/age_sigma 441 4.2640853218 remaining steps and years until age target 441 43 2.7716554591500282D+07 (age_target - star_age)/age_sigma 442 4.1649205468 reducing max timestep prior to age target 442 2.7071983554488182D+07 (age_target - star_age)/age_sigma 443 4.0657557719 remaining steps and years until age target 443 41 2.6427412517477036D+07 (age_target - star_age)/age_sigma 444 3.9665909970 reducing max timestep prior to age target 444 2.5782841480464935D+07 (age_target - star_age)/age_sigma 445 3.8674262221 reducing max timestep prior to age target 445 2.5138270443452835D+07 (age_target - star_age)/age_sigma 446 3.7682614471 remaining steps and years until age target 446 38 2.4493699406441689D+07 (age_target - star_age)/age_sigma 447 3.6690966722 reducing max timestep prior to age target 447 2.3849128369429588D+07 (age_target - star_age)/age_sigma 448 3.5699318973 remaining steps and years until age target 448 36 2.3204557332418442D+07 (age_target - star_age)/age_sigma 449 3.4707671224 reducing max timestep prior to age target 449 2.2559986295406342D+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 -15.653560 -99.000000 -6.952631 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.8163026196229828D-13 log_rel_run_E_err -10.0896487968327460 (age_target - star_age)/age_sigma 450 3.3716023474 remaining steps and years until age target 450 34 2.1915415258395195D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2724375725 reducing max timestep prior to age target 451 2.1270844221383095D+07 (age_target - star_age)/age_sigma 452 3.1732727976 reducing max timestep prior to age target 452 2.0626273184370995D+07 (age_target - star_age)/age_sigma 453 3.0741080227 remaining steps and years until age target 453 31 1.9981702147359848D+07 (age_target - star_age)/age_sigma 454 2.9749432477 reducing max timestep prior to age target 454 1.9337131110347748D+07 (age_target - star_age)/age_sigma 455 2.8757784728 remaining steps and years until age target 455 29 1.8692560073336601D+07 (age_target - star_age)/age_sigma 456 2.7766136979 reducing max timestep prior to age target 456 1.8047989036324501D+07 (age_target - star_age)/age_sigma 457 2.6774489230 remaining steps and years until age target 457 27 1.7403417999313354D+07 (age_target - star_age)/age_sigma 458 2.5782841480 reducing max timestep prior to age target 458 1.6758846962301254D+07 (age_target - star_age)/age_sigma 459 2.4791193731 reducing max timestep prior to age target 459 1.6114275925289154D+07 460 7.212592 5764.416 0.049589 0.049589 1.000000 1.000000 0.295981 0.005649 0.249233 -1.516253 516 1 5.8093E+00 7.212592 0.025956 -41.561592 -1.540738 -99.000000 0.000000 0.684661 0.007848 0.016361 0.125169 3 4.5540E+09 2.225793 0.049626 -15.352530 -99.000000 -6.952813 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.6354743724478909D-13 log_rel_run_E_err -10.0798485428615852 (age_target - star_age)/age_sigma 460 2.3799545982 remaining steps and years until age target 460 24 1.5469704888278008D+07 (age_target - star_age)/age_sigma 461 2.2807898233 reducing max timestep prior to age target 461 1.4825133851265907D+07 (age_target - star_age)/age_sigma 462 2.1816250483 remaining steps and years until age target 462 22 1.4180562814254761D+07 (age_target - star_age)/age_sigma 463 2.0824602734 reducing max timestep prior to age target 463 1.3535991777242661D+07 (age_target - star_age)/age_sigma 464 1.9832954985 remaining steps and years until age target 464 20 1.2891420740231514D+07 (age_target - star_age)/age_sigma 465 1.8841307236 reducing max timestep prior to age target 465 1.2246849703219414D+07 (age_target - star_age)/age_sigma 466 1.7849659486 remaining steps and years until age target 466 18 1.1602278666208267D+07 (age_target - star_age)/age_sigma 467 1.6858011737 reducing max timestep prior to age target 467 1.0957707629196167D+07 (age_target - star_age)/age_sigma 468 1.5866363988 reducing max timestep prior to age target 468 1.0313136592184067D+07 (age_target - star_age)/age_sigma 469 1.4874716239 remaining steps and years until age target 469 15 9.6685655551729202D+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 1.6837840339540955D-13 log_rel_run_E_err -10.0705698859489754 (age_target - star_age)/age_sigma 470 1.3883068489 reducing max timestep prior to age target 470 9.0239945181608200D+06 (age_target - star_age)/age_sigma 471 1.2891420740 remaining steps and years until age target 471 13 8.3794234811496735D+06 (age_target - star_age)/age_sigma 472 1.1899772991 reducing max timestep prior to age target 472 7.7348524441375732D+06 (age_target - star_age)/age_sigma 473 1.0908125242 remaining steps and years until age target 473 11 7.0902814071264267D+06 (age_target - star_age)/age_sigma 474 0.9916477492 reducing max timestep prior to age target 474 6.4457103701143265D+06 (age_target - star_age)/age_sigma 475 0.8924829743 remaining steps and years until age target 475 9 5.8011393331031799D+06 (age_target - star_age)/age_sigma 476 0.7933181994 reducing max timestep prior to age target 476 5.1565682960910797D+06 (age_target - star_age)/age_sigma 477 0.6941534245 remaining steps and years until age target 477 7 4.5119972590799332D+06 (age_target - star_age)/age_sigma 478 0.5949886495 remaining steps and years until age target 478 6 3.8674262220687866D+06 (age_target - star_age)/age_sigma 479 0.4958238746 remaining steps and years until age target 479 5 3.2228551850576401D+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 1.9443989316702090D-13 log_rel_run_E_err -10.0612396669355100 (age_target - star_age)/age_sigma 480 0.3966590997 reducing max timestep prior to age target 480 2.5782841480455399D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2974943248 remaining steps and years until age target 481 3 1.9337131110343933D+06 (age_target - star_age)/age_sigma 482 0.1983295498 reducing max timestep prior to age target 482 1.2891420740222931D+06 (age_target - star_age)/age_sigma 483 0.0991647749 remaining steps and years until age target 483 1 6.4457103701210022D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71 save outputs/best.mod 484 save outputs/best.profile for model 484 save LOGS/profile11.data for model 484 have reached age_target save LOGS/profile11.data for model 484 solver retries 3 varcontrol dt limit 81 max increase dt limit 1074 lgRho_cntr dt limit 37 model saved to final.mod save photos/x484 for model 484 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71 have reached age_target runtime (minutes), retries, steps 2.79 1 484 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 484 7.212943 5764.572 0.050203 0.050203 1.000000 1.000000 0.294409 0.005661 0.249121 -1.515426 516 1 5.8093E+00 7.212943 0.026238 -41.540030 -1.539521 -99.000000 0.000000 0.686233 0.007835 0.016354 0.125420 3 4.5695E+09 2.227178 0.050239 -15.653560 -99.000000 -6.953251 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.7741159821071381D-13 log_rel_run_E_err -10.0576552463868829 Teff 5764.5719399272 radius 1.0622782376 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 3878.5788762471 M_H -0.0127881998 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 163.5380535235 log_R 0.0262382844 delta_nu 129.3843509383 nu_max 2729.4282123454 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2835000000 initial_FeH 0.0600000000 alpha 2.0000000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 334680.7056432569 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 "7925f3a" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251017" "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 3.3351283960191271E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383765982E+03 1.0231407131234167E+00 -1.7395981943719165E-03 9.9353665865764985E-03 1.3680762272704359E+02 2.9640776267829979E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191271E+05 0 0 0 0 0 0 0 2 3.3468070564325689E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271829E+03 1.0622782375814146E+00 -1.2788199776495082E-02 2.6238284372326726E-02 1.2938435093834246E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325689E+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 3.9562810869851778D-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 1.8246319607504208D-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 -99.000000 -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 2.4692958051424622D-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 2.5920127918434314D-13 log_rel_run_E_err -11.5818964292418585 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 2.7929728640799672D-13 log_rel_run_E_err -11.2704542699281589 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 -99.000000 -99.000000 -6.911323 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7204039449747769D-13 log_rel_run_E_err -11.0964215334983258 40 6.622726 4315.712 -4.896790 -4.896790 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -1.9119E+00 6.622726 0.262184 -99.000000 -6.294538 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 4 7.3439E-02 0.157527 0.019271 -20.470040 -99.000000 -6.911018 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7204039207003237D-13 log_rel_run_E_err -10.9708274444249767 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 2.5957341039229369D-13 log_rel_run_E_err -10.8739779084035355 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.622726 4313.925 -4.896788 -4.896788 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -3.2831E-01 6.622726 0.262172 -99.000000 -6.294536 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 2.8173E+00 0.157528 0.018529 -99.000000 -99.000000 -6.910187 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5268858130913074D-13 log_rel_run_E_err -10.7960632189554406 70 6.622727 4313.925 -4.896779 -4.896779 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028728 457 0 4.6351E-01 6.622727 0.262172 -99.000000 -6.294527 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 1.7444E+01 0.157531 0.018527 -99.000000 -99.000000 -6.910186 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6180565691309602D-13 log_rel_run_E_err -10.7288279900037740 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 -20.771070 -99.000000 -6.910177 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7426900198571308D-13 log_rel_run_E_err -10.6707005478600436 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 2.5712960614813861D-13 log_rel_run_E_err -10.6204940483878172 __________________________________________________________________________________________________________________________________________________ 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 2.5755861702417527D-13 log_rel_run_E_err -10.5754168728896669 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.624079 4312.342 -4.881988 -4.881988 1.000000 1.000000 0.710106 0.001005 0.270000 -4.022123 457 0 3.6308E+00 6.624079 0.260618 -99.000000 -6.279735 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072088 2 2.5639E+04 0.162410 0.014782 -99.000000 -99.000000 -6.907581 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.2765915495276999D-13 log_rel_run_E_err -10.5356762487481159 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 4.0043032133148627D-13 log_rel_run_E_err -10.4666397417290877 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 2.3608817816490216D-11 log_rel_run_E_err -10.2039965804267698 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 2.5955627944574085D-13 log_rel_run_E_err -10.3024551352438181 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 2.0174736170319492D-13 log_rel_run_E_err -10.4182005414887886 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.046838 5353.783 -0.818032 -0.818032 1.000000 1.000000 0.709913 0.001022 0.269970 -1.549552 489 0 6.1334E+00 7.046838 0.011673 -51.759826 -2.259873 -99.000000 0.000000 0.270189 0.009332 0.019892 0.098989 5 2.7457E+07 1.843683 -0.107318 -99.000000 -99.000000 -6.847198 0.000000 0.003414 0.002074 0.019898 0.000E+00 lgRho_cntr rel_E_err 1.7486721414161949D-13 log_rel_run_E_err -10.5579685618429355 (age_target - star_age)/age_sigma 168 694.7514474947 reducing max timestep prior to age target 168 4.5158844087154408D+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 -99.000000 -99.000000 -6.804894 0.000000 0.001391 0.002075 0.020240 0.000E+00 max increase rel_E_err 1.8606285373458367D-13 log_rel_run_E_err -10.5835253073706816 (age_target - star_age)/age_sigma 176 677.4473861457 reducing max timestep prior to age target 176 4.4034080099469461D+09 (age_target - star_age)/age_sigma 179 661.0324369278 reducing max timestep prior to age target 179 4.2967108400306377D+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 1.7195363797507556D-13 log_rel_run_E_err -10.5559504670650295 (age_target - star_age)/age_sigma 180 653.2398456507 reducing max timestep prior to age target 180 4.2460589967297091D+09 (age_target - star_age)/age_sigma 182 632.6674046793 reducing max timestep prior to age target 182 4.1123381304152575D+09 (age_target - star_age)/age_sigma 183 620.3484608216 reducing max timestep prior to age target 183 4.0322649953402777D+09 (age_target - star_age)/age_sigma 184 608.2758958410 reducing max timestep prior to age target 184 3.9537933229667978D+09 (age_target - star_age)/age_sigma 185 596.4447821601 reducing max timestep prior to age target 185 3.8768910840407877D+09 (age_target - star_age)/age_sigma 186 584.8502907528 reducing max timestep prior to age target 186 3.8015268898932972D+09 (age_target - star_age)/age_sigma 187 573.4876891737 reducing max timestep prior to age target 187 3.7276699796287570D+09 (age_target - star_age)/age_sigma 188 562.3523396261 reducing max timestep prior to age target 188 3.6552902075695076D+09 (age_target - star_age)/age_sigma 189 551.4396970695 reducing max timestep prior to age target 189 3.5843580309514427D+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 1.7858304408134730D-13 log_rel_run_E_err -10.5298352168111826 (age_target - star_age)/age_sigma 190 540.7453073640 reducing max timestep prior to age target 190 3.5148444978657398D+09 (age_target - star_age)/age_sigma 191 530.2648054526 reducing max timestep prior to age target 191 3.4467212354417505D+09 (age_target - star_age)/age_sigma 192 519.9939135794 reducing max timestep prior to age target 192 3.3799604382662411D+09 (age_target - star_age)/age_sigma 193 509.9284395437 reducing max timestep prior to age target 193 3.3145348570342417D+09 (age_target - star_age)/age_sigma 194 500.0642749888 reducing max timestep prior to age target 194 3.2504177874268827D+09 (age_target - star_age)/age_sigma 195 490.3973937249 reducing max timestep prior to age target 195 3.1875830592116709D+09 (age_target - star_age)/age_sigma 196 480.9238500863 reducing max timestep prior to age target 196 3.1260050255607629D+09 (age_target - star_age)/age_sigma 197 471.6397773204 reducing max timestep prior to age target 197 3.0656585525828733D+09 (age_target - star_age)/age_sigma 198 462.5413860099 reducing max timestep prior to age target 198 3.0065190090645413D+09 (age_target - star_age)/age_sigma 199 453.6249625256 reducing max timestep prior to age target 199 2.9485622564165764D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.144277 5571.259 -0.123239 -0.123239 1.000000 1.000000 0.592579 0.005083 0.259993 -1.638143 507 0 7.7543E+00 7.144277 -0.030836 -45.985028 -1.784881 -99.000000 0.000000 0.386719 0.009404 0.019244 0.094788 10 1.6777E+09 1.984784 -0.123165 -99.000000 -99.000000 -6.838175 0.000000 0.000016 0.002098 0.020703 0.000E+00 max_dt rel_E_err 2.0891756156590335D-13 log_rel_run_E_err -10.5045932747479611 (age_target - star_age)/age_sigma 200 444.8868675110 reducing max timestep prior to age target 200 2.8917646388215704D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 436.3235343967 reducing max timestep prior to age target 201 2.8361029735784645D+09 (age_target - star_age)/age_sigma 202 427.9314679446 reducing max timestep prior to age target 202 2.7815545416402206D+09 (age_target - star_age)/age_sigma 204 411.4830176987 reducing max timestep prior to age target 204 2.6746396150412631D+09 (age_target - star_age)/age_sigma 205 403.4232770781 reducing max timestep prior to age target 205 2.6222513010077739D+09 (age_target - star_age)/age_sigma 206 395.5247312700 reducing max timestep prior to age target 206 2.5709107532549543D+09 (age_target - star_age)/age_sigma 207 387.7841563780 reducing max timestep prior to age target 207 2.5205970164571915D+09 (age_target - star_age)/age_sigma 208 380.1983929839 reducing max timestep prior to age target 208 2.4712895543953838D+09 (age_target - star_age)/age_sigma 209 372.7643448577 reducing max timestep prior to age target 209 2.4229682415748119D+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 2.0183631484265028D-13 log_rel_run_E_err -10.4798081700316175 (age_target - star_age)/age_sigma 210 365.4789776939 reducing max timestep prior to age target 210 2.3756133550106516D+09 (age_target - star_age)/age_sigma 211 358.3393178735 reducing max timestep prior to age target 211 2.3292055661777749D+09 (age_target - star_age)/age_sigma 212 351.3424512495 reducing max timestep prior to age target 212 2.2837259331215553D+09 (age_target - star_age)/age_sigma 213 344.4855219579 reducing max timestep prior to age target 213 2.2391558927264605D+09 (age_target - star_age)/age_sigma 214 337.7657312522 reducing max timestep prior to age target 214 2.1954772531392674D+09 (age_target - star_age)/age_sigma 215 331.1803363606 reducing max timestep prior to age target 215 2.1526721863438182D+09 (age_target - star_age)/age_sigma 216 324.7266493668 reducing max timestep prior to age target 216 2.1107232208842783D+09 (age_target - star_age)/age_sigma 217 318.4020361129 reducing max timestep prior to age target 217 2.0696132347339287D+09 (age_target - star_age)/age_sigma 218 312.2039151241 reducing max timestep prior to age target 218 2.0293254483065863D+09 (age_target - star_age)/age_sigma 219 306.1297565550 reducing max timestep prior to age target 219 1.9898434176077900D+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 -15.352530 -99.000000 -6.856100 0.000000 0.000017 0.002111 0.020831 0.000E+00 max_dt rel_E_err 1.8535288689879003D-13 log_rel_run_E_err -10.4574934565445243 (age_target - star_age)/age_sigma 220 300.1770811574 reducing max timestep prior to age target 220 1.9511510275229707D+09 (age_target - star_age)/age_sigma 221 294.3434592677 reducing max timestep prior to age target 221 1.9132324852398472D+09 (age_target - star_age)/age_sigma 222 288.6265098158 reducing max timestep prior to age target 222 1.8760723138023863D+09 (age_target - star_age)/age_sigma 223 283.0238993529 reducing max timestep prior to age target 223 1.8396553457936749D+09 (age_target - star_age)/age_sigma 224 277.5333410993 reducing max timestep prior to age target 224 1.8039667171451373D+09 (age_target - star_age)/age_sigma 225 272.1525940107 reducing max timestep prior to age target 225 1.7689918610695710D+09 (age_target - star_age)/age_sigma 226 266.8794618639 reducing max timestep prior to age target 226 1.7347165021155157D+09 (age_target - star_age)/age_sigma 227 261.7117923601 reducing max timestep prior to age target 227 1.7011266503405414D+09 (age_target - star_age)/age_sigma 228 256.6474762463 reducing max timestep prior to age target 228 1.6682085956010666D+09 (age_target - star_age)/age_sigma 229 251.6844464548 reducing max timestep prior to age target 229 1.6359489019563813D+09 230 7.161476 5602.009 -0.084964 -0.084964 1.000000 1.000000 0.495424 0.005199 0.252368 -1.595687 508 0 7.4999E+00 7.161476 -0.016481 -44.743847 -1.736040 -99.000000 0.000000 0.483701 0.009404 0.018743 0.103061 10 2.9652E+09 2.055059 -0.084893 -15.477469 -99.000000 -6.863061 0.000000 0.000017 0.002116 0.020875 0.000E+00 max_dt rel_E_err 1.8651927803626305D-13 log_rel_run_E_err -10.4361186485289128 (age_target - star_age)/age_sigma 230 246.8206772592 reducing max timestep prior to age target 230 1.6043344021845899D+09 (age_target - star_age)/age_sigma 231 242.0541834474 reducing max timestep prior to age target 231 1.5733521924082341D+09 (age_target - star_age)/age_sigma 232 237.3830195119 reducing max timestep prior to age target 232 1.5429896268274059D+09 (age_target - star_age)/age_sigma 233 232.8052788551 reducing max timestep prior to age target 233 1.5132343125581942D+09 (age_target - star_age)/age_sigma 234 228.3190930114 reducing max timestep prior to age target 234 1.4840741045743661D+09 (age_target - star_age)/age_sigma 235 223.9226308846 reducing max timestep prior to age target 235 1.4554971007502146D+09 (age_target - star_age)/age_sigma 236 219.6140980004 reducing max timestep prior to age target 236 1.4274916370025468D+09 (age_target - star_age)/age_sigma 238 211.1693735472 reducing max timestep prior to age target 238 1.3726009280571170D+09 (age_target - star_age)/age_sigma 239 207.0314585652 reducing max timestep prior to age target 239 1.3457044806738567D+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 -15.653560 -99.000000 -6.868955 0.000000 0.000018 0.002120 0.020909 0.000E+00 max_dt rel_E_err 1.9939755975927686D-13 log_rel_run_E_err -10.4152967474610545 (age_target - star_age)/age_sigma 240 202.9763018828 reducing max timestep prior to age target 240 1.3193459622382617D+09 (age_target - star_age)/age_sigma 241 199.0022483341 reducing max timestep prior to age target 241 1.2935146141713777D+09 (age_target - star_age)/age_sigma 242 195.1076758563 reducing max timestep prior to age target 242 1.2681998930658321D+09 (age_target - star_age)/age_sigma 243 191.2909948281 reducing max timestep prior to age target 243 1.2433914663823972D+09 (age_target - star_age)/age_sigma 244 187.5506474204 reducing max timestep prior to age target 244 1.2190792082326312D+09 (age_target - star_age)/age_sigma 245 183.8851069609 reducing max timestep prior to age target 245 1.1952531952458606D+09 (age_target - star_age)/age_sigma 246 180.2928773106 reducing max timestep prior to age target 246 1.1719037025188251D+09 (age_target - star_age)/age_sigma 247 176.7724922533 reducing max timestep prior to age target 247 1.1490211996463304D+09 (age_target - star_age)/age_sigma 248 173.3225148971 reducing max timestep prior to age target 248 1.1265963468312855D+09 (age_target - star_age)/age_sigma 249 169.9415370881 reducing max timestep prior to age target 249 1.1046199910725412D+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 1.8211946815461450D-13 log_rel_run_E_err -10.3956783106597950 (age_target - star_age)/age_sigma 250 166.6281788352 reducing max timestep prior to age target 250 1.0830831624289727D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 163.3810877474 reducing max timestep prior to age target 251 1.0619770703582749D+09 (age_target - star_age)/age_sigma 252 160.1989384814 reducing max timestep prior to age target 252 1.0412931001289911D+09 (age_target - star_age)/age_sigma 253 157.0804322007 reducing max timestep prior to age target 253 1.0210228093042932D+09 (age_target - star_age)/age_sigma 254 154.0242960456 reducing max timestep prior to age target 254 1.0011579242960896D+09 (age_target - star_age)/age_sigma 255 151.0292826135 reducing max timestep prior to age target 255 9.8169033698804951D+08 (age_target - star_age)/age_sigma 256 148.0941694502 reducing max timestep prior to age target 256 9.6261210142617035D+08 (age_target - star_age)/age_sigma 257 145.2177585501 reducing max timestep prior to age target 257 9.4391543057552862D+08 (age_target - star_age)/age_sigma 258 142.3988758680 reducing max timestep prior to age target 258 9.2559269314189959D+08 (age_target - star_age)/age_sigma 259 139.6363708395 reducing max timestep prior to age target 259 9.0763641045694351D+08 260 7.172184 5617.836 -0.062435 -0.062435 1.000000 1.000000 0.439836 0.005300 0.248155 -1.568688 511 0 7.2454E+00 7.172184 -0.007670 -44.012117 -1.703932 -99.000000 0.000000 0.539205 0.009358 0.018465 0.108730 10 3.6795E+09 2.098448 -0.062370 -99.000000 -99.000000 -6.878088 0.000000 0.000019 0.002126 0.020959 0.000E+00 max_dt rel_E_err 1.8214857195669539D-13 log_rel_run_E_err -10.3769868244643106 (age_target - star_age)/age_sigma 260 136.9291159116 reducing max timestep prior to age target 260 8.9003925342568684D+08 (age_target - star_age)/age_sigma 261 134.2760060823 reducing max timestep prior to age target 261 8.7279403953505468D+08 (age_target - star_age)/age_sigma 262 131.6759584496 reducing max timestep prior to age target 262 8.5589372992223549D+08 (age_target - star_age)/age_sigma 263 129.1279117695 reducing max timestep prior to age target 263 8.3933142650167274D+08 (age_target - star_age)/age_sigma 264 126.6308260230 reducing max timestep prior to age target 264 8.2310036914952135D+08 (age_target - star_age)/age_sigma 265 124.1836819914 reducing max timestep prior to age target 265 8.0719393294441271D+08 (age_target - star_age)/age_sigma 266 121.7854808405 reducing max timestep prior to age target 266 7.9160562546340609D+08 (age_target - star_age)/age_sigma 267 119.4352437126 reducing max timestep prior to age target 267 7.7632908413201952D+08 (age_target - star_age)/age_sigma 268 117.1320113273 reducing max timestep prior to age target 268 7.6135807362726068D+08 (age_target - star_age)/age_sigma 269 114.8748435896 reducing max timestep prior to age target 269 7.4668648333259773D+08 270 7.174677 5621.171 -0.057325 -0.057325 1.000000 1.000000 0.427366 0.005328 0.247233 -1.562345 512 0 7.1577E+00 7.174677 -0.005631 -43.845427 -1.696279 -99.000000 0.000000 0.551659 0.009340 0.018404 0.110116 10 3.8372E+09 2.108517 -0.057261 -99.000000 -99.000000 -6.881523 0.000000 0.000019 0.002128 0.020976 0.000E+00 max_dt rel_E_err 1.9103339656899309D-13 log_rel_run_E_err -10.3583755387161247 (age_target - star_age)/age_sigma 270 112.6628192067 reducing max timestep prior to age target 270 7.3230832484382725D+08 (age_target - star_age)/age_sigma 271 110.4950353115 reducing max timestep prior to age target 271 7.1821772952483273D+08 (age_target - star_age)/age_sigma 273 106.2461788769 reducing max timestep prior to age target 273 6.9060016269960308D+08 (age_target - star_age)/age_sigma 274 104.1642392239 reducing max timestep prior to age target 274 6.7706755495524073D+08 (age_target - star_age)/age_sigma 275 102.1239383640 reducing max timestep prior to age target 275 6.6380559936576509D+08 (age_target - star_age)/age_sigma 276 100.1244435212 reducing max timestep prior to age target 276 6.5080888288807917D+08 (age_target - star_age)/age_sigma 277 98.1649385754 reducing max timestep prior to age target 277 6.3807210073994732D+08 (age_target - star_age)/age_sigma 278 96.2446237284 reducing max timestep prior to age target 278 6.2559005423477793D+08 (age_target - star_age)/age_sigma 279 94.3627151784 reducing max timestep prior to age target 279 6.1335764865971136D+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 7 3.9681E+09 2.117022 -0.052974 -99.000000 -99.000000 -6.884410 0.000000 0.000019 0.002130 0.020989 0.000E+00 max_dt rel_E_err 1.8660312277436822D-13 log_rel_run_E_err -10.3406518465215225 (age_target - star_age)/age_sigma 280 92.5184447994 reducing max timestep prior to age target 280 6.0136989119614697D+08 (age_target - star_age)/age_sigma 281 90.7110598280 reducing max timestep prior to age target 281 5.8962188888185310D+08 (age_target - star_age)/age_sigma 282 88.9398225560 reducing max timestep prior to age target 282 5.7810884661384535D+08 (age_target - star_age)/age_sigma 283 87.2040100294 reducing max timestep prior to age target 283 5.6682606519119787D+08 (age_target - star_age)/age_sigma 284 85.5029137534 reducing max timestep prior to age target 284 5.5576893939700365D+08 (age_target - star_age)/age_sigma 285 83.8358394029 reducing max timestep prior to age target 285 5.4493295611869287D+08 (age_target - star_age)/age_sigma 286 82.2021065394 reducing max timestep prior to age target 286 5.3431369250594854D+08 (age_target - star_age)/age_sigma 287 80.6010483331 reducing max timestep prior to age target 287 5.2390681416545963D+08 (age_target - star_age)/age_sigma 288 79.0320112910 reducing max timestep prior to age target 288 5.1370807339177990D+08 (age_target - star_age)/age_sigma 289 77.4943549898 reducing max timestep prior to age target 289 5.0371330743357372D+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 1.9316126129954692D-13 log_rel_run_E_err -10.3232126154909487 (age_target - star_age)/age_sigma 290 75.9874518145 reducing max timestep prior to age target 290 4.9391843679453182D+08 (age_target - star_age)/age_sigma 291 74.5106867028 reducing max timestep prior to age target 291 4.8431946356827068D+08 (age_target - star_age)/age_sigma 292 73.0634568933 reducing max timestep prior to age target 292 4.7491246980653477D+08 (age_target - star_age)/age_sigma 293 71.6451716800 reducing max timestep prior to age target 293 4.6569361592003345D+08 (age_target - star_age)/age_sigma 294 70.2552521710 reducing max timestep prior to age target 294 4.5665913911126232D+08 (age_target - star_age)/age_sigma 295 68.8931310521 reducing max timestep prior to age target 295 4.4780535183866644D+08 (age_target - star_age)/age_sigma 296 67.5582523556 reducing max timestep prior to age target 296 4.3912864031152296D+08 (age_target - star_age)/age_sigma 297 66.2500712331 reducing max timestep prior to age target 297 4.3062546301492167D+08 (age_target - star_age)/age_sigma 298 64.9680537330 reducing max timestep prior to age target 298 4.2229234926425266D+08 (age_target - star_age)/age_sigma 299 63.7116765829 reducing max timestep prior to age target 299 4.1412589778859758D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.180000 5627.849 -0.046597 -0.046597 1.000000 1.000000 0.401322 0.005395 0.245369 -1.548768 515 0 6.9033E+00 7.180000 -0.001300 -43.493812 -1.679728 -99.000000 0.000000 0.577670 0.009291 0.018280 0.113161 5 4.1634E+09 2.129966 -0.046536 -15.352530 -99.000000 -6.888744 0.000000 0.000020 0.002132 0.021008 0.000E+00 max_dt rel_E_err 1.7847125416342293D-13 log_rel_run_E_err -10.3066364242793114 (age_target - star_age)/age_sigma 300 62.4804269758 reducing max timestep prior to age target 300 4.0612277534245491D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.2738023608 reducing max timestep prior to age target 301 3.9827971534523535D+08 (age_target - star_age)/age_sigma 302 60.0913102381 reducing max timestep prior to age target 302 3.9059351654796028D+08 (age_target - star_age)/age_sigma 303 58.9324679579 reducing max timestep prior to age target 303 3.8306104172663021D+08 (age_target - star_age)/age_sigma 304 57.7968025233 reducing max timestep prior to age target 304 3.7567921640172672D+08 (age_target - star_age)/age_sigma 305 56.6838503974 reducing max timestep prior to age target 305 3.6844502758332205D+08 (age_target - star_age)/age_sigma 306 55.5931573140 reducing max timestep prior to age target 306 3.6135552254128456D+08 (age_target - star_age)/age_sigma 308 53.4553988706 reducing max timestep prior to age target 308 3.4746009265889263D+08 (age_target - star_age)/age_sigma 309 52.4078972333 reducing max timestep prior to age target 309 3.4065133201652050D+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 1.9171742556018817D-13 log_rel_run_E_err -10.2908462759518340 (age_target - star_age)/age_sigma 310 51.3813456288 reducing max timestep prior to age target 310 3.3397874658699560D+08 (age_target - star_age)/age_sigma 311 50.3753250563 reducing max timestep prior to age target 311 3.2743961286606121D+08 (age_target - star_age)/age_sigma 312 49.3894248953 reducing max timestep prior to age target 312 3.2103126181954575D+08 (age_target - star_age)/age_sigma 313 48.4232427375 reducing max timestep prior to age target 313 3.1475107779396057D+08 (age_target - star_age)/age_sigma 314 47.4763842229 reducing max timestep prior to age target 314 3.0859649744888687D+08 (age_target - star_age)/age_sigma 315 46.5484628786 reducing max timestep prior to age target 315 3.0256500871071482D+08 (age_target - star_age)/age_sigma 316 45.6390999611 reducing max timestep prior to age target 316 2.9665414974730587D+08 (age_target - star_age)/age_sigma 317 44.7479243020 reducing max timestep prior to age target 317 2.9086150796316528D+08 (age_target - star_age)/age_sigma 318 43.8745721561 reducing max timestep prior to age target 318 2.8518471901470757D+08 (age_target - star_age)/age_sigma 319 43.0186870531 reducing max timestep prior to age target 319 2.7962146584521866D+08 320 7.182220 5630.429 -0.042203 -0.042203 1.000000 1.000000 0.390681 0.005427 0.244629 -1.543094 515 0 6.7366E+00 7.182220 0.000498 -43.348795 -1.672748 -99.000000 0.000000 0.588299 0.009267 0.018231 0.114468 5 4.2953E+09 2.138892 -0.042144 -15.477469 -99.000000 -6.891702 0.000000 0.000020 0.002134 0.021021 0.000E+00 max_dt rel_E_err 1.7685126640618987D-13 log_rel_run_E_err -10.2758093812652529 (age_target - star_age)/age_sigma 320 42.1799196522 reducing max timestep prior to age target 320 2.7416947773911953D+08 (age_target - star_age)/age_sigma 321 41.3579275993 reducing max timestep prior to age target 321 2.6882652939514256D+08 (age_target - star_age)/age_sigma 322 40.5523753874 reducing max timestep prior to age target 322 2.6359044001804543D+08 (age_target - star_age)/age_sigma 323 39.7629342198 reducing max timestep prior to age target 323 2.5845907242849064D+08 (age_target - star_age)/age_sigma 324 38.9892818755 reducing max timestep prior to age target 324 2.5343033219072628D+08 (age_target - star_age)/age_sigma 325 38.2311025781 reducing max timestep prior to age target 325 2.4850216675771713D+08 (age_target - star_age)/age_sigma 326 37.4880868667 reducing max timestep prior to age target 326 2.4367256463336849D+08 (age_target - star_age)/age_sigma 327 36.7599314695 reducing max timestep prior to age target 327 2.3893955455150700D+08 (age_target - star_age)/age_sigma 328 36.0463391802 reducing max timestep prior to age target 328 2.3430120467128277D+08 (age_target - star_age)/age_sigma 329 35.3470187367 reducing max timestep prior to age target 329 2.2975562178866196D+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 -99.000000 -99.000000 -6.892801 0.000000 0.000020 0.002135 0.021025 0.000E+00 max_dt rel_E_err 1.7938375448223790D-13 log_rel_run_E_err -10.2609294387782146 (age_target - star_age)/age_sigma 330 34.6616847021 reducing max timestep prior to age target 330 2.2530095056369495D+08 (age_target - star_age)/age_sigma 331 33.9900573482 reducing max timestep prior to age target 331 2.2093537276322651D+08 (age_target - star_age)/age_sigma 332 33.3318625413 reducing max timestep prior to age target 332 2.1665710651876736D+08 (age_target - star_age)/age_sigma 333 32.6868316306 reducing max timestep prior to age target 333 2.1246440559919739D+08 (age_target - star_age)/age_sigma 334 32.0547013382 reducing max timestep prior to age target 334 2.0835555869801903D+08 (age_target - star_age)/age_sigma 335 31.4352136515 reducing max timestep prior to age target 335 2.0432888873486423D+08 (age_target - star_age)/age_sigma 336 30.8281157186 reducing max timestep prior to age target 336 2.0038275217097282D+08 (age_target - star_age)/age_sigma 337 30.2331597444 reducing max timestep prior to age target 337 1.9651553833835888D+08 (age_target - star_age)/age_sigma 338 29.6501028896 reducing max timestep prior to age target 338 1.9272566878239727D+08 (age_target - star_age)/age_sigma 339 29.0787071719 reducing max timestep prior to age target 339 1.8901159661755466D+08 340 7.183736 5632.123 -0.039230 -0.039230 1.000000 1.000000 0.383484 0.005450 0.244136 -1.539223 514 0 6.5611E+00 7.183736 0.001723 -43.250268 -1.667955 -99.000000 0.000000 0.595488 0.009248 0.018198 0.115373 5 4.3841E+09 2.144976 -0.039171 -99.000000 -99.000000 -6.893703 0.000000 0.000020 0.002135 0.021028 0.000E+00 max_dt rel_E_err 1.8964617216614846D-13 log_rel_run_E_err -10.2465581107853794 (age_target - star_age)/age_sigma 340 28.5187393686 reducing max timestep prior to age target 340 1.8537180589600945D+08 (age_target - star_age)/age_sigma 341 27.9699709214 reducing max timestep prior to age target 341 1.8180481098889542D+08 (age_target - star_age)/age_sigma 343 26.8943847648 reducing max timestep prior to age target 343 1.7481350097095013D+08 (age_target - star_age)/age_sigma 344 26.3673475480 reducing max timestep prior to age target 344 1.7138775906215668D+08 (age_target - star_age)/age_sigma 345 25.8508510756 reducing max timestep prior to age target 345 1.6803053199153996D+08 (age_target - star_age)/age_sigma 346 25.3446845327 reducing max timestep prior to age target 346 1.6474044946233559D+08 (age_target - star_age)/age_sigma 347 24.8486413206 reducing max timestep prior to age target 347 1.6151616858371449D+08 (age_target - star_age)/age_sigma 348 24.3625189727 reducing max timestep prior to age target 348 1.5835637332266712D+08 (age_target - star_age)/age_sigma 349 23.8861190718 reducing max timestep prior to age target 349 1.5525977396683979D+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 1.8768504726467232D-13 log_rel_run_E_err -10.2328669643672079 (age_target - star_age)/age_sigma 350 23.4192471689 reducing max timestep prior to age target 350 1.5222510659812927D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9617127041 reducing max timestep prior to age target 351 1.4925113257679272D+08 (age_target - star_age)/age_sigma 352 22.5133289286 reducing max timestep prior to age target 352 1.4633663803588295D+08 (age_target - star_age)/age_sigma 353 22.0739128286 reducing max timestep prior to age target 353 1.4348043338579178D+08 (age_target - star_age)/age_sigma 354 21.6432850506 reducing max timestep prior to age target 354 1.4068135282870197D+08 (age_target - star_age)/age_sigma 355 21.2212698281 reducing max timestep prior to age target 355 1.3793825388275433D+08 (age_target - star_age)/age_sigma 356 20.8076949101 reducing max timestep prior to age target 356 1.3525001691572475D+08 (age_target - star_age)/age_sigma 357 20.4023914905 reducing max timestep prior to age target 357 1.3261554468803692D+08 (age_target - star_age)/age_sigma 358 20.0051941392 reducing max timestep prior to age target 358 1.3003376190490150D+08 (age_target - star_age)/age_sigma 359 19.6159407350 reducing max timestep prior to age target 359 1.2750361477742958D+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 -15.653560 -99.000000 -6.895072 0.000000 0.000020 0.002136 0.021034 0.000E+00 max_dt rel_E_err 1.9795476573963805D-13 log_rel_run_E_err -10.2196119285743112 (age_target - star_age)/age_sigma 360 19.2344723988 reducing max timestep prior to age target 360 1.2502407059250736D+08 (age_target - star_age)/age_sigma 361 18.8606334294 reducing max timestep prior to age target 361 1.2259411729128361D+08 (age_target - star_age)/age_sigma 362 18.4942712394 reducing max timestep prior to age target 362 1.2021276305608368D+08 (age_target - star_age)/age_sigma 363 18.1352362932 reducing max timestep prior to age target 363 1.1787903590558815D+08 (age_target - star_age)/age_sigma 364 17.7833820459 reducing max timestep prior to age target 364 1.1559198329810238D+08 (age_target - star_age)/age_sigma 365 17.4385648835 reducing max timestep prior to age target 365 1.1335067174276638D+08 (age_target - star_age)/age_sigma 366 17.1006440644 reducing max timestep prior to age target 366 1.1115418641853809D+08 (age_target - star_age)/age_sigma 367 16.7694816617 reducing max timestep prior to age target 367 1.0900163080079269D+08 (age_target - star_age)/age_sigma 368 16.4449425070 reducing max timestep prior to age target 368 1.0689212629540348D+08 (age_target - star_age)/age_sigma 369 16.1268941354 reducing max timestep prior to age target 369 1.0482481188012123D+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 1.9385902646044602D-13 log_rel_run_E_err -10.2068381090458118 (age_target - star_age)/age_sigma 370 15.8152067313 reducing max timestep prior to age target 370 1.0279884375314522D+08 (age_target - star_age)/age_sigma 371 15.5097530752 reducing max timestep prior to age target 371 1.0081339498870850D+08 (age_target - star_age)/age_sigma 372 15.2104084922 reducing max timestep prior to age target 372 9.8867655199560165D+07 (age_target - star_age)/age_sigma 373 14.9170508010 reducing max timestep prior to age target 373 9.6960830206194878D+07 (age_target - star_age)/age_sigma 374 14.6295602635 reducing max timestep prior to age target 374 9.5092141712697983D+07 (age_target - star_age)/age_sigma 375 14.3478195368 reducing max timestep prior to age target 375 9.3260826989069939D+07 (age_target - star_age)/age_sigma 376 14.0717136246 reducing max timestep prior to age target 376 9.1466138559914589D+07 (age_target - star_age)/age_sigma 378 13.5305460367 reducing max timestep prior to age target 378 8.7948549238771439D+07 (age_target - star_age)/age_sigma 379 13.2653739187 reducing max timestep prior to age target 379 8.6224930471409798D+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 1.8140520708329303D-13 log_rel_run_E_err -10.1942268108556835 (age_target - star_age)/age_sigma 380 13.0055052430 reducing max timestep prior to age target 380 8.4535784079396248D+07 (age_target - star_age)/age_sigma 381 12.7508339408 reducing max timestep prior to age target 381 8.2880420615223885D+07 (age_target - star_age)/age_sigma 382 12.5012560647 reducing max timestep prior to age target 382 8.1258164420333862D+07 (age_target - star_age)/age_sigma 383 12.2566697461 reducing max timestep prior to age target 383 7.9668353349341393D+07 (age_target - star_age)/age_sigma 384 12.0169751538 reducing max timestep prior to age target 384 7.8110338499769211D+07 (age_target - star_age)/age_sigma 385 11.7820744534 reducing max timestep prior to age target 385 7.6583483947188377D+07 (age_target - star_age)/age_sigma 386 11.5518717670 reducing max timestep prior to age target 386 7.5087166485659599D+07 (age_target - star_age)/age_sigma 387 11.3262731344 reducing max timestep prior to age target 387 7.3620775373360634D+07 (age_target - star_age)/age_sigma 388 11.1051864744 reducing max timestep prior to age target 388 7.2183712083308220D+07 (age_target - star_age)/age_sigma 389 10.8885215475 reducing max timestep prior to age target 389 7.0775390059057236D+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 -15.352530 -99.000000 -6.896335 0.000000 0.000020 0.002137 0.021038 0.000E+00 max_dt rel_E_err 1.7538849533277008D-13 log_rel_run_E_err -10.1823890327783531 (age_target - star_age)/age_sigma 390 10.6761899193 reducing max timestep prior to age target 390 6.9395234475290298D+07 (age_target - star_age)/age_sigma 391 10.4681049236 reducing max timestep prior to age target 391 6.8042682003199577D+07 (age_target - star_age)/age_sigma 392 10.2641816278 reducing max timestep prior to age target 392 6.6717180580550194D+07 (age_target - star_age)/age_sigma 393 10.0643367979 reducing max timestep prior to age target 393 6.5418189186353683D+07 (age_target - star_age)/age_sigma 394 9.8684888646 reducing max timestep prior to age target 394 6.4145177620041847D+07 (age_target - star_age)/age_sigma 395 9.6765578900 reducing max timestep prior to age target 395 6.2897626285055161D+07 (age_target - star_age)/age_sigma 396 9.4884655349 reducing max timestep prior to age target 396 6.1675025976768494D+07 (age_target - star_age)/age_sigma 397 9.3041350269 reducing max timestep prior to age target 397 6.0476877674648285D+07 (age_target - star_age)/age_sigma 398 9.1234911290 reducing max timestep prior to age target 398 5.9302692338569641D+07 (age_target - star_age)/age_sigma 399 8.9464601091 reducing max timestep prior to age target 399 5.8151990709213257D+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 5 4.5125E+09 2.153883 -0.034845 -15.352530 -99.000000 -6.896617 0.000000 0.000021 0.002137 0.021039 0.000E+00 max_dt rel_E_err 1.9060039876271988D-13 log_rel_run_E_err -10.1704129465373914 (age_target - star_age)/age_sigma 400 8.7729697096 reducing max timestep prior to age target 400 5.7024303112443924D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.6029491181 reducing max timestep prior to age target 401 5.5919169267609596D+07 (age_target - star_age)/age_sigma 402 8.4363289384 reducing max timestep prior to age target 402 5.4836138099671364D+07 (age_target - star_age)/age_sigma 403 8.2730411623 reducing max timestep prior to age target 403 5.3774767555092812D+07 (age_target - star_age)/age_sigma 404 8.1130191418 reducing max timestep prior to age target 404 5.2734624421405792D+07 (age_target - star_age)/age_sigma 405 7.9561975616 reducing max timestep prior to age target 405 5.1715284150392532D+07 (age_target - star_age)/age_sigma 406 7.8025124130 reducing max timestep prior to age target 406 5.0716330684799194D+07 (age_target - star_age)/age_sigma 407 7.6519009675 reducing max timestep prior to age target 407 4.9737356288517952D+07 (age_target - star_age)/age_sigma 408 7.5043017508 reducing max timestep prior to age target 408 4.8777961380162239D+07 (age_target - star_age)/age_sigma 409 7.3596545185 reducing max timestep prior to age target 409 4.7837754369974136D+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 1.7494083481248139D-13 log_rel_run_E_err -10.1587012125634590 (age_target - star_age)/age_sigma 410 7.2179002308 reducing max timestep prior to age target 410 4.6916351499989510D+07 (age_target - star_age)/age_sigma 411 7.0789810288 reducing max timestep prior to age target 411 4.6013376687404633D+07 (age_target - star_age)/age_sigma 412 6.9428402109 reducing max timestep prior to age target 412 4.5128461371070862D+07 (age_target - star_age)/age_sigma 414 6.6760042079 reducing max timestep prior to age target 414 4.3394027351057053D+07 (age_target - star_age)/age_sigma 415 6.5452545663 reducing max timestep prior to age target 415 4.2544154681250572D+07 (age_target - star_age)/age_sigma 416 6.4171199177 reducing max timestep prior to age target 416 4.1711279464840889D+07 (age_target - star_age)/age_sigma 417 6.2915479620 reducing max timestep prior to age target 417 4.0895061752758026D+07 (age_target - star_age)/age_sigma 418 6.1684874454 reducing max timestep prior to age target 418 4.0095168394917488D+07 (age_target - star_age)/age_sigma 419 6.0478881391 reducing max timestep prior to age target 419 3.9311272904233932D+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 1.7471944340370624D-13 log_rel_run_E_err -10.1458110475526659 (age_target - star_age)/age_sigma 420 5.9297008190 reducing max timestep prior to age target 420 3.8543055323364258D+07 (age_target - star_age)/age_sigma 421 5.8138772452 reducing max timestep prior to age target 421 3.7790202094111443D+07 (age_target - star_age)/age_sigma 422 5.7003701430 reducing max timestep prior to age target 422 3.7052405929443359D+07 (age_target - star_age)/age_sigma 423 5.5891331828 reducing max timestep prior to age target 423 3.6329365688069344D+07 (age_target - star_age)/age_sigma 424 5.4801209618 reducing max timestep prior to age target 424 3.5620786251522064D+07 (age_target - star_age)/age_sigma 425 5.3732889852 reducing max timestep prior to age target 425 3.4926378403706551D+07 (age_target - star_age)/age_sigma 426 5.2685936481 reducing max timestep prior to age target 426 3.4245858712846756D+07 (age_target - star_age)/age_sigma 427 5.1659922178 reducing max timestep prior to age target 427 3.3578949415803909D+07 (age_target - star_age)/age_sigma 428 5.0654428161 reducing max timestep prior to age target 428 3.2925378304702759D+07 (age_target - star_age)/age_sigma 429 4.9661204079 remaining steps and years until age target 429 50 3.2279782651669502D+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 2.0000961788176293D-13 log_rel_run_E_err -10.1343839005708443 (age_target - star_age)/age_sigma 430 4.8667979998 remaining steps and years until age target 430 49 3.1634186998636246D+07 (age_target - star_age)/age_sigma 431 4.7674755916 remaining steps and years until age target 431 48 3.0988591345602989D+07 (age_target - star_age)/age_sigma 432 4.6681531835 remaining steps and years until age target 432 47 3.0342995692569733D+07 (age_target - star_age)/age_sigma 433 4.5688307753 remaining steps and years until age target 433 46 2.9697400039536476D+07 (age_target - star_age)/age_sigma 434 4.4695083672 remaining steps and years until age target 434 45 2.9051804386503220D+07 (age_target - star_age)/age_sigma 435 4.3701859590 remaining steps and years until age target 435 44 2.8406208733469963D+07 (age_target - star_age)/age_sigma 436 4.2708635508 remaining steps and years until age target 436 43 2.7760613080436707D+07 (age_target - star_age)/age_sigma 437 4.1715411427 remaining steps and years until age target 437 42 2.7115017427403450D+07 (age_target - star_age)/age_sigma 438 4.0722187345 remaining steps and years until age target 438 41 2.6469421774371147D+07 (age_target - star_age)/age_sigma 439 3.9728963264 reducing max timestep prior to age target 439 2.5823826121336937D+07 440 7.186519 5635.119 -0.033821 -0.033821 1.000000 1.000000 0.370424 0.005495 0.243245 -1.532140 515 0 5.8100E+00 7.186519 0.003965 -43.070449 -1.659095 -99.000000 0.000000 0.608535 0.009210 0.018139 0.117061 3 4.5443E+09 2.156115 -0.033765 -99.000000 -99.000000 -6.897344 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt rel_E_err 1.9078569332812708D-13 log_rel_run_E_err -10.1234300717406231 (age_target - star_age)/age_sigma 440 3.8735739182 remaining steps and years until age target 440 39 2.5178230468303680D+07 (age_target - star_age)/age_sigma 441 3.7742515100 remaining steps and years until age target 441 38 2.4532634815270424D+07 (age_target - star_age)/age_sigma 442 3.6749291019 remaining steps and years until age target 442 37 2.3887039162237167D+07 (age_target - star_age)/age_sigma 443 3.5756066937 remaining steps and years until age target 443 36 2.3241443509203911D+07 (age_target - star_age)/age_sigma 444 3.4762842856 remaining steps and years until age target 444 35 2.2595847856170654D+07 (age_target - star_age)/age_sigma 445 3.3769618774 reducing max timestep prior to age target 445 2.1950252203136444D+07 (age_target - star_age)/age_sigma 446 3.2776394692 remaining steps and years until age target 446 33 2.1304656550104141D+07 (age_target - star_age)/age_sigma 447 3.1783170611 reducing max timestep prior to age target 447 2.0659060897069931D+07 (age_target - star_age)/age_sigma 448 3.0789946529 remaining steps and years until age target 448 31 2.0013465244036674D+07 (age_target - star_age)/age_sigma 449 2.9796722448 remaining steps and years until age target 449 30 1.9367869591003418D+07 450 7.186633 5635.239 -0.033602 -0.033602 1.000000 1.000000 0.369895 0.005497 0.243207 -1.531851 515 0 5.8100E+00 7.186633 0.004056 -43.063144 -1.658732 -99.000000 0.000000 0.609063 0.009208 0.018137 0.117131 3 4.5508E+09 2.156569 -0.033546 -99.000000 -99.000000 -6.897492 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt rel_E_err 1.9163723308786915D-13 log_rel_run_E_err -10.1130868591999157 (age_target - star_age)/age_sigma 450 2.8803498366 reducing max timestep prior to age target 450 1.8722273937969208D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7810274285 remaining steps and years until age target 451 28 1.8076678284935951D+07 (age_target - star_age)/age_sigma 452 2.6817050203 remaining steps and years until age target 452 27 1.7431082631902695D+07 (age_target - star_age)/age_sigma 453 2.5823826121 remaining steps and years until age target 453 26 1.6785486978869438D+07 (age_target - star_age)/age_sigma 454 2.4830602040 remaining steps and years until age target 454 25 1.6139891325836182D+07 (age_target - star_age)/age_sigma 455 2.3837377958 remaining steps and years until age target 455 24 1.5494295672802925D+07 (age_target - star_age)/age_sigma 456 2.2844153877 reducing max timestep prior to age target 456 1.4848700019768715D+07 (age_target - star_age)/age_sigma 457 2.1850929795 remaining steps and years until age target 457 22 1.4203104366735458D+07 (age_target - star_age)/age_sigma 458 2.0857705713 remaining steps and years until age target 458 21 1.3557508713702202D+07 (age_target - star_age)/age_sigma 459 1.9864481632 remaining steps and years until age target 459 20 1.2911913060668945D+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 1.8177109158898572D-13 log_rel_run_E_err -10.1028173312686906 (age_target - star_age)/age_sigma 460 1.8871257550 reducing max timestep prior to age target 460 1.2266317407634735D+07 (age_target - star_age)/age_sigma 461 1.7878033469 remaining steps and years until age target 461 18 1.1620721754601479D+07 (age_target - star_age)/age_sigma 462 1.6884809387 remaining steps and years until age target 462 17 1.0975126101568222D+07 (age_target - star_age)/age_sigma 463 1.5891585305 remaining steps and years until age target 463 16 1.0329530448535919D+07 (age_target - star_age)/age_sigma 464 1.4898361224 reducing max timestep prior to age target 464 9.6839347955017090D+06 (age_target - star_age)/age_sigma 465 1.3905137142 remaining steps and years until age target 465 14 9.0383391424684525D+06 (age_target - star_age)/age_sigma 466 1.2911913061 reducing max timestep prior to age target 466 8.3927434894342422D+06 (age_target - star_age)/age_sigma 467 1.1918688979 remaining steps and years until age target 467 12 7.7471478364009857D+06 (age_target - star_age)/age_sigma 468 1.0925464897 remaining steps and years until age target 468 11 7.1015521833677292D+06 (age_target - star_age)/age_sigma 469 0.9932240816 remaining steps and years until age target 469 10 6.4559565303344727D+06 470 7.186860 5635.480 -0.033163 -0.033163 1.000000 1.000000 0.368838 0.005501 0.243129 -1.531274 515 0 5.8100E+00 7.186860 0.004238 -43.048522 -1.658005 -99.000000 0.000000 0.610119 0.009205 0.018132 0.117270 3 4.5637E+09 2.157477 -0.033107 -15.352530 -99.000000 -6.897788 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt rel_E_err 1.8176548531133916D-13 log_rel_run_E_err -10.0928986113977874 (age_target - star_age)/age_sigma 470 0.8939016734 remaining steps and years until age target 470 9 5.8103608773012161D+06 (age_target - star_age)/age_sigma 471 0.7945792653 remaining steps and years until age target 471 8 5.1647652242679596D+06 (age_target - star_age)/age_sigma 472 0.6952568571 reducing max timestep prior to age target 472 4.5191695712337494D+06 (age_target - star_age)/age_sigma 473 0.5959344490 remaining steps and years until age target 473 6 3.8735739182004929D+06 (age_target - star_age)/age_sigma 474 0.4966120408 remaining steps and years until age target 474 5 3.2279782651672363D+06 (age_target - star_age)/age_sigma 475 0.3972896326 remaining steps and years until age target 475 4 2.5823826121339798D+06 (age_target - star_age)/age_sigma 476 0.2979672245 remaining steps and years until age target 476 3 1.9367869591007233D+06 (age_target - star_age)/age_sigma 477 0.1986448163 remaining steps and years until age target 477 2 1.2911913060674667D+06 (age_target - star_age)/age_sigma 478 0.0993224082 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07 save outputs/best.mod 479 save outputs/best.profile for model 479 save LOGS/profile11.data for model 479 have reached age_target save LOGS/profile11.data for model 479 solver retries 4 varcontrol dt limit 122 max increase dt limit 1608 lgRho_cntr dt limit 55 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07 have reached age_target runtime (minutes), retries, steps 3.02 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 -15.477469 -99.000000 -6.897921 0.000000 0.000021 0.002138 0.021044 0.000E+00 max_dt rel_E_err 1.7833100287646904D-13 log_rel_run_E_err -10.0843136809023459 Teff 5635.5878078368 radius 1.0099970103 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 99.9402149528 M_H 0.0294662156 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 868.2578595161 log_R 0.0043200882 delta_nu 139.4758215533 nu_max 3053.6692076807 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 333656.0660248229 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 "7925f3a" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251017" "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 3.3351283960191271E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383765982E+03 1.0231407131234167E+00 -1.7395981943719165E-03 9.9353665865764985E-03 1.3680762272704359E+02 2.9640776267829979E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191271E+05 0 0 0 0 0 0 0 3 3.3365606602482294E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367950E+03 1.0099970103007245E+00 2.9466215561488481E-02 4.3200882263855428E-03 1.3947582155333640E+02 3.0536692076806949E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482294E+05 0 0 0 0 0 0 0 2 3.3468070564325689E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271829E+03 1.0622782375814146E+00 -1.2788199776495082E-02 2.6238284372326726E-02 1.2938435093834246E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325689E+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 -99.000000 -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 3.9251982031544069D-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 -28.597850 -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 1.9793094841443656D-01 30 6.002792 4417.348 -12.186359 -12.186359 1.000000 1.000000 0.700000 0.001010 0.279998 -6.239865 404 0 3.4640E+00 6.002792 0.903884 -99.000000 -13.584224 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.7770E+03 -1.727204 1.343107 -99.000000 -99.000000 -7.622870 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501201576994D-08 40 6.181888 4529.268 -9.814064 -9.814064 1.000000 1.000000 0.700000 0.001010 0.279976 -5.619112 423 0 4.0274E+00 6.181888 0.718505 -99.000000 -11.211923 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071111 3 7.3939E+04 -1.189514 1.015816 -99.000000 -99.000000 -7.442933 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128502311800019D-08 50 6.359711 4578.875 -7.700105 -7.700105 1.000000 1.000000 0.700000 0.001010 0.279870 -5.002863 434 0 4.5422E+00 6.359711 0.536260 -99.000000 -9.097948 -99.000000 0.000000 0.280000 0.009381 0.019894 0.071124 3 2.9002E+05 -0.655809 0.670250 -99.000000 -99.000000 -7.242625 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128502311800019D-08 60 6.533813 4575.555 -5.833381 -5.833381 1.000000 1.000000 0.700000 0.001010 0.279543 -4.398830 452 0 5.0646E+00 6.533813 0.358981 -99.000000 -7.231181 -99.000000 0.000000 0.280000 0.009381 0.019677 0.071139 3 1.0061E+06 -0.133217 0.314431 -99.000000 -99.000000 -7.004266 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128502533844624D-08 finished relax to begin radiative core 66 1.2918551937003779D-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 -99.000000 -99.000000 -6.915305 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6489976509887287D-13 log_rel_run_E_err -11.5757969622684485 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 2.4620313591668694D-13 log_rel_run_E_err -11.2807716251552161 30 6.624871 4382.311 -4.877896 -4.877896 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -2.7037E+00 6.624871 0.260027 -99.000000 -6.275642 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.1819E-02 0.163108 0.041561 -99.000000 -99.000000 -6.921033 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7322994591392615D-13 log_rel_run_E_err -11.1050590688230475 40 6.624872 4381.702 -4.877894 -4.877894 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -1.9119E+00 6.624872 0.260029 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 7.3439E-02 0.163110 0.041323 -99.000000 -99.000000 -6.920788 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6249326537090827D-13 log_rel_run_E_err -10.9804404434277920 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 -20.470040 -99.000000 -6.920111 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4546265851491287D-13 log_rel_run_E_err -10.8831632484935668 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 2.6397407685017247D-13 log_rel_run_E_err -10.8033284070196078 70 6.624873 4380.043 -4.877883 -4.877883 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022541 458 0 4.6351E-01 6.624873 0.260017 -99.000000 -6.275630 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.7444E+01 0.163114 0.040640 -20.470040 -99.000000 -6.920097 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6471395112030885D-13 log_rel_run_E_err -10.7369634956146864 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 2.5397382044237292D-13 log_rel_run_E_err -10.6795866535880446 90 6.624908 4379.997 -4.877488 -4.877488 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022357 458 0 2.0471E+00 6.624908 0.259975 -99.000000 -6.275235 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071817 2 6.6878E+02 0.163246 0.040539 -99.000000 -99.000000 -6.920028 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7727441988526179D-13 log_rel_run_E_err -10.6288324848368063 __________________________________________________________________________________________________________________________________________________ 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 2.6676899010380720D-13 log_rel_run_E_err -10.5839836554623297 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 2.5668922922192187D-13 log_rel_run_E_err -10.5443848906039239 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 2.7098483120802920D-13 log_rel_run_E_err -10.4893524438084054 130 6.665556 4322.268 -4.409795 -4.409795 1.000000 1.000000 0.711274 0.000946 0.270000 -3.778887 461 0 5.2144E+00 6.665556 0.210140 -99.000000 -5.807497 -99.000000 0.000000 0.270000 0.008783 0.018726 0.074286 4 9.8295E+05 0.329239 -0.082180 -99.000000 -99.000000 -6.835102 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5990698585512033D-13 log_rel_run_E_err -10.4792651138845532 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 2.2841142196510195D-13 log_rel_run_E_err -10.5633175590566069 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 -17.760770 -99.000000 -6.724419 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 1.9617676733742583D-13 log_rel_run_E_err -10.4352521360446371 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 1.6040523307986873D-13 log_rel_run_E_err -10.4152199749851349 (age_target - star_age)/age_sigma 168 694.7983444914 reducing max timestep prior to age target 168 4.5161892391940908D+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 1.9786879175251064D-13 log_rel_run_E_err -10.4469198161142440 (age_target - star_age)/age_sigma 175 680.8615072525 reducing max timestep prior to age target 175 4.4255997971415520D+09 (age_target - star_age)/age_sigma 178 666.7877671807 reducing max timestep prior to age target 178 4.3341204866743059D+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 -15.954590 -99.000000 -6.821127 0.000000 0.000014 0.001956 0.019303 0.000E+00 max increase rel_E_err 1.7423806308300624D-13 log_rel_run_E_err -10.4271403443051014 (age_target - star_age)/age_sigma 180 652.0892149122 reducing max timestep prior to age target 180 4.2385798969291730D+09 (age_target - star_age)/age_sigma 182 630.9232996456 reducing max timestep prior to age target 182 4.1010014476961823D+09 (age_target - star_age)/age_sigma 183 618.6043557879 reducing max timestep prior to age target 183 4.0209283126212025D+09 (age_target - star_age)/age_sigma 184 606.5317908073 reducing max timestep prior to age target 184 3.9424566402477226D+09 (age_target - star_age)/age_sigma 185 594.7006771264 reducing max timestep prior to age target 185 3.8655544013217120D+09 (age_target - star_age)/age_sigma 186 583.1061857191 reducing max timestep prior to age target 186 3.7901902071742220D+09 (age_target - star_age)/age_sigma 187 571.7435841400 reducing max timestep prior to age target 187 3.7163332969096813D+09 (age_target - star_age)/age_sigma 188 560.6082345924 reducing max timestep prior to age target 188 3.6439535248504319D+09 (age_target - star_age)/age_sigma 189 549.6955920357 reducing max timestep prior to age target 189 3.5730213482323675D+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 1.9205459607997972D-13 log_rel_run_E_err -10.4082831522629213 (age_target - star_age)/age_sigma 190 539.0012023303 reducing max timestep prior to age target 190 3.5035078151466641D+09 (age_target - star_age)/age_sigma 191 528.5207004189 reducing max timestep prior to age target 191 3.4353845527226753D+09 (age_target - star_age)/age_sigma 192 518.2498085457 reducing max timestep prior to age target 192 3.3686237555471659D+09 (age_target - star_age)/age_sigma 193 508.1843345100 reducing max timestep prior to age target 193 3.3031981743151665D+09 (age_target - star_age)/age_sigma 194 498.3201699550 reducing max timestep prior to age target 194 3.2390811047078075D+09 (age_target - star_age)/age_sigma 195 488.6532886912 reducing max timestep prior to age target 195 3.1762463764925952D+09 (age_target - star_age)/age_sigma 196 479.1797450526 reducing max timestep prior to age target 196 3.1146683428416872D+09 (age_target - star_age)/age_sigma 197 469.8956722867 reducing max timestep prior to age target 197 3.0543218698637977D+09 (age_target - star_age)/age_sigma 198 460.7972809762 reducing max timestep prior to age target 198 2.9951823263454657D+09 (age_target - star_age)/age_sigma 199 451.8808574919 reducing max timestep prior to age target 199 2.9372255736975007D+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 -99.000000 -99.000000 -6.849440 0.000000 0.000015 0.001975 0.019491 0.000E+00 max_dt rel_E_err 1.8968914477986292D-13 log_rel_run_E_err -10.3888983287763406 (age_target - star_age)/age_sigma 200 443.1427624773 reducing max timestep prior to age target 200 2.8804279561024947D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 434.5794293630 reducing max timestep prior to age target 201 2.8247662908593893D+09 (age_target - star_age)/age_sigma 202 426.1873629109 reducing max timestep prior to age target 202 2.7702178589211454D+09 (age_target - star_age)/age_sigma 203 417.9631377879 reducing max timestep prior to age target 203 2.7167603956216664D+09 (age_target - star_age)/age_sigma 204 409.9033971674 reducing max timestep prior to age target 204 2.6643720815881772D+09 (age_target - star_age)/age_sigma 205 402.0048513593 reducing max timestep prior to age target 205 2.6130315338353577D+09 (age_target - star_age)/age_sigma 206 394.2642764673 reducing max timestep prior to age target 206 2.5627177970375948D+09 (age_target - star_age)/age_sigma 207 386.6785130732 reducing max timestep prior to age target 207 2.5134103349757872D+09 (age_target - star_age)/age_sigma 209 371.8104168207 reducing max timestep prior to age target 209 2.4167677093346438D+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 -15.176439 -99.000000 -6.860640 0.000000 0.000016 0.001982 0.019557 0.000E+00 max_dt rel_E_err 1.9109581078310911D-13 log_rel_run_E_err -10.3702200756080636 (age_target - star_age)/age_sigma 210 364.5250496570 reducing max timestep prior to age target 210 2.3694128227704835D+09 (age_target - star_age)/age_sigma 211 357.3853898366 reducing max timestep prior to age target 211 2.3230050339376063D+09 (age_target - star_age)/age_sigma 212 350.3885232125 reducing max timestep prior to age target 212 2.2775254008813872D+09 (age_target - star_age)/age_sigma 213 343.5315939210 reducing max timestep prior to age target 213 2.2329553604862919D+09 (age_target - star_age)/age_sigma 214 336.8118032152 reducing max timestep prior to age target 214 2.1892767208990989D+09 (age_target - star_age)/age_sigma 215 330.2264083236 reducing max timestep prior to age target 215 2.1464716541036501D+09 (age_target - star_age)/age_sigma 216 323.7727213299 reducing max timestep prior to age target 216 2.1045226886441097D+09 (age_target - star_age)/age_sigma 217 317.4481080760 reducing max timestep prior to age target 217 2.0634127024937601D+09 (age_target - star_age)/age_sigma 218 311.2499870871 reducing max timestep prior to age target 218 2.0231249160664177D+09 (age_target - star_age)/age_sigma 219 305.1758285181 reducing max timestep prior to age target 219 1.9836428853676219D+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 1.8269174078541167D-13 log_rel_run_E_err -10.3528703993348170 (age_target - star_age)/age_sigma 220 299.2231531204 reducing max timestep prior to age target 220 1.9449504952828021D+09 (age_target - star_age)/age_sigma 221 293.3895312307 reducing max timestep prior to age target 221 1.9070319529996791D+09 (age_target - star_age)/age_sigma 222 287.6725817788 reducing max timestep prior to age target 222 1.8698717815622182D+09 (age_target - star_age)/age_sigma 223 282.0699713159 reducing max timestep prior to age target 223 1.8334548135535069D+09 (age_target - star_age)/age_sigma 224 276.5794130623 reducing max timestep prior to age target 224 1.7977661849049692D+09 (age_target - star_age)/age_sigma 225 271.1986659738 reducing max timestep prior to age target 225 1.7627913288294024D+09 (age_target - star_age)/age_sigma 226 265.9255338270 reducing max timestep prior to age target 226 1.7285159698753471D+09 (age_target - star_age)/age_sigma 227 260.7578643231 reducing max timestep prior to age target 227 1.6949261181003733D+09 (age_target - star_age)/age_sigma 228 255.6935482094 reducing max timestep prior to age target 228 1.6620080633608985D+09 (age_target - star_age)/age_sigma 229 250.7305184179 reducing max timestep prior to age target 229 1.6297483697162132D+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 -15.653560 -99.000000 -6.878404 0.000000 0.000017 0.001992 0.019650 0.000E+00 max_dt rel_E_err 1.8426984217682056D-13 log_rel_run_E_err -10.3361307407082581 (age_target - star_age)/age_sigma 230 245.8667492222 reducing max timestep prior to age target 230 1.5981338699444218D+09 (age_target - star_age)/age_sigma 231 241.1002554105 reducing max timestep prior to age target 231 1.5671516601680660D+09 (age_target - star_age)/age_sigma 232 236.4290914750 reducing max timestep prior to age target 232 1.5367890945872374D+09 (age_target - star_age)/age_sigma 233 231.8513508182 reducing max timestep prior to age target 233 1.5070337803180256D+09 (age_target - star_age)/age_sigma 234 227.3651649745 reducing max timestep prior to age target 234 1.4778735723341980D+09 (age_target - star_age)/age_sigma 235 222.9687028477 reducing max timestep prior to age target 235 1.4492965685100465D+09 (age_target - star_age)/age_sigma 236 218.6601699634 reducing max timestep prior to age target 236 1.4212911047623782D+09 (age_target - star_age)/age_sigma 237 214.4378077369 reducing max timestep prior to age target 237 1.3938457502896638D+09 (age_target - star_age)/age_sigma 238 210.2998927548 reducing max timestep prior to age target 238 1.3669493029064031D+09 (age_target - star_age)/age_sigma 239 206.2447360724 reducing max timestep prior to age target 239 1.3405907844708080D+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 -15.954590 -99.000000 -6.885153 0.000000 0.000017 0.001996 0.019682 0.000E+00 max_dt rel_E_err 1.7648539075780288D-13 log_rel_run_E_err -10.3208551664598573 (age_target - star_age)/age_sigma 240 202.2706825237 reducing max timestep prior to age target 240 1.3147594364039245D+09 (age_target - star_age)/age_sigma 241 198.3761100459 reducing max timestep prior to age target 241 1.2894447152983785D+09 (age_target - star_age)/age_sigma 242 194.5594290177 reducing max timestep prior to age target 242 1.2646362886149435D+09 (age_target - star_age)/age_sigma 244 187.0787342024 reducing max timestep prior to age target 244 1.2160117723154116D+09 (age_target - star_age)/age_sigma 245 183.4131937429 reducing max timestep prior to age target 245 1.1921857593286409D+09 (age_target - star_age)/age_sigma 246 179.8209640926 reducing max timestep prior to age target 246 1.1688362666016059D+09 (age_target - star_age)/age_sigma 247 176.3005790352 reducing max timestep prior to age target 247 1.1459537637291112D+09 (age_target - star_age)/age_sigma 248 172.8506016791 reducing max timestep prior to age target 248 1.1235289109140658D+09 (age_target - star_age)/age_sigma 249 169.4696238700 reducing max timestep prior to age target 249 1.1015525551553216D+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 1.7262244454485175D-13 log_rel_run_E_err -10.3052102691524361 (age_target - star_age)/age_sigma 250 166.1562656172 reducing max timestep prior to age target 250 1.0800157265117531D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 162.9091745294 reducing max timestep prior to age target 251 1.0589096344410558D+09 (age_target - star_age)/age_sigma 252 159.7270252633 reducing max timestep prior to age target 252 1.0382256642117720D+09 (age_target - star_age)/age_sigma 253 156.6085189826 reducing max timestep prior to age target 253 1.0179553733870740D+09 (age_target - star_age)/age_sigma 254 153.5523828275 reducing max timestep prior to age target 254 9.9809048837887001D+08 (age_target - star_age)/age_sigma 255 150.5573693955 reducing max timestep prior to age target 255 9.7862290107082987D+08 (age_target - star_age)/age_sigma 256 147.6222562321 reducing max timestep prior to age target 256 9.5954466550895071D+08 (age_target - star_age)/age_sigma 257 144.7458453320 reducing max timestep prior to age target 257 9.4084799465830898D+08 (age_target - star_age)/age_sigma 258 141.9269626500 reducing max timestep prior to age target 258 9.2252525722468042D+08 (age_target - star_age)/age_sigma 259 139.1644576215 reducing max timestep prior to age target 259 9.0456897453972435D+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 -15.954590 -99.000000 -6.895633 0.000000 0.000018 0.002001 0.019726 0.000E+00 max_dt rel_E_err 1.8333748615334359D-13 log_rel_run_E_err -10.2899487790608788 (age_target - star_age)/age_sigma 260 136.4572026936 reducing max timestep prior to age target 260 8.8697181750846720D+08 (age_target - star_age)/age_sigma 261 133.8040928643 reducing max timestep prior to age target 261 8.6972660361783504D+08 (age_target - star_age)/age_sigma 262 131.2040452315 reducing max timestep prior to age target 262 8.5282629400501585D+08 (age_target - star_age)/age_sigma 263 128.6559985515 reducing max timestep prior to age target 263 8.3626399058445311D+08 (age_target - star_age)/age_sigma 264 126.1589128050 reducing max timestep prior to age target 264 8.2003293323230171D+08 (age_target - star_age)/age_sigma 265 123.7117687734 reducing max timestep prior to age target 265 8.0412649702719307D+08 (age_target - star_age)/age_sigma 266 121.3135676225 reducing max timestep prior to age target 266 7.8853818954618645D+08 (age_target - star_age)/age_sigma 267 118.9633304946 reducing max timestep prior to age target 267 7.7326164821479988D+08 (age_target - star_age)/age_sigma 268 116.6600981092 reducing max timestep prior to age target 268 7.5829063771004152D+08 (age_target - star_age)/age_sigma 269 114.4029303716 reducing max timestep prior to age target 269 7.4361904741537809D+08 270 7.180293 5702.705 -0.032327 -0.032327 1.000000 1.000000 0.414494 0.005068 0.246428 -1.553877 508 0 7.1577E+00 7.180293 -0.005641 -43.516208 -1.666734 -99.000000 0.000000 0.565765 0.008733 0.017270 0.111022 10 3.8403E+09 2.124300 -0.032265 -99.000000 -99.000000 -6.899559 0.000000 0.000018 0.002003 0.019741 0.000E+00 max_dt rel_E_err 1.7485704818039298D-13 log_rel_run_E_err -10.2755313486568269 (age_target - star_age)/age_sigma 270 112.1909059887 reducing max timestep prior to age target 270 7.2924088892660809D+08 (age_target - star_age)/age_sigma 271 110.0231220935 reducing max timestep prior to age target 271 7.1515029360761309D+08 (age_target - star_age)/age_sigma 272 107.8986938762 reducing max timestep prior to age target 272 7.0134151019499826D+08 (age_target - star_age)/age_sigma 273 105.8167542232 reducing max timestep prior to age target 273 6.8780890245063591D+08 (age_target - star_age)/age_sigma 274 103.7764533633 reducing max timestep prior to age target 274 6.7454694686116076D+08 (age_target - star_age)/age_sigma 275 101.7769585205 reducing max timestep prior to age target 275 6.6155023038347435D+08 (age_target - star_age)/age_sigma 276 99.8174535747 reducing max timestep prior to age target 276 6.4881344823534250D+08 (age_target - star_age)/age_sigma 277 97.8971387277 reducing max timestep prior to age target 277 6.3633140173017311D+08 (age_target - star_age)/age_sigma 279 94.1333216277 reducing max timestep prior to age target 279 6.1186659058004093D+08 280 7.182510 5705.312 -0.027911 -0.027911 1.000000 1.000000 0.403615 0.005099 0.245660 -1.548296 508 0 7.0787E+00 7.182510 -0.003831 -43.370447 -1.659778 -99.000000 0.000000 0.576632 0.008709 0.017223 0.112302 5 3.9696E+09 2.133226 -0.027851 -15.653560 -99.000000 -6.902800 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.8839333547428620D-13 log_rel_run_E_err -10.2613475044390512 (age_target - star_age)/age_sigma 280 92.2890512487 reducing max timestep prior to age target 280 5.9987883311647606D+08 (age_target - star_age)/age_sigma 281 90.4816662773 reducing max timestep prior to age target 281 5.8813083080218267D+08 (age_target - star_age)/age_sigma 282 88.7104290053 reducing max timestep prior to age target 282 5.7661778853417492D+08 (age_target - star_age)/age_sigma 283 86.9746164787 reducing max timestep prior to age target 283 5.6533500711152744D+08 (age_target - star_age)/age_sigma 284 85.2735202027 reducing max timestep prior to age target 284 5.5427788131733322D+08 (age_target - star_age)/age_sigma 285 83.6064458522 reducing max timestep prior to age target 285 5.4344189803902245D+08 (age_target - star_age)/age_sigma 286 81.9727129887 reducing max timestep prior to age target 286 5.3282263442627811D+08 (age_target - star_age)/age_sigma 287 80.3716547824 reducing max timestep prior to age target 287 5.2241575608578920D+08 (age_target - star_age)/age_sigma 288 78.8026177403 reducing max timestep prior to age target 288 5.1221701531210947D+08 (age_target - star_age)/age_sigma 289 77.2649614391 reducing max timestep prior to age target 289 5.0222224935390329D+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 1.7826646632572410D-13 log_rel_run_E_err -10.2477350851296531 (age_target - star_age)/age_sigma 290 75.7580582638 reducing max timestep prior to age target 290 4.9242737871486139D+08 (age_target - star_age)/age_sigma 291 74.2812931521 reducing max timestep prior to age target 291 4.8282840548860025D+08 (age_target - star_age)/age_sigma 292 72.8340633426 reducing max timestep prior to age target 292 4.7342141172686434D+08 (age_target - star_age)/age_sigma 293 71.4157781293 reducing max timestep prior to age target 293 4.6420255784036303D+08 (age_target - star_age)/age_sigma 294 70.0258586202 reducing max timestep prior to age target 294 4.5516808103159189D+08 (age_target - star_age)/age_sigma 295 68.6637375014 reducing max timestep prior to age target 295 4.4631429375899601D+08 (age_target - star_age)/age_sigma 296 67.3288588049 reducing max timestep prior to age target 296 4.3763758223185253D+08 (age_target - star_age)/age_sigma 297 66.0206776823 reducing max timestep prior to age target 297 4.2913440493525124D+08 (age_target - star_age)/age_sigma 298 64.7386601822 reducing max timestep prior to age target 298 4.2080129118458223D+08 (age_target - star_age)/age_sigma 299 63.4822830321 reducing max timestep prior to age target 299 4.1263483970892668D+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 1.8031821281043276D-13 log_rel_run_E_err -10.2342686483916374 (age_target - star_age)/age_sigma 300 62.2510334250 reducing max timestep prior to age target 300 4.0463171726278448D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.0444088101 reducing max timestep prior to age target 301 3.9678865726556492D+08 (age_target - star_age)/age_sigma 302 59.8619166874 reducing max timestep prior to age target 302 3.8910245846828938D+08 (age_target - star_age)/age_sigma 303 58.7030744072 reducing max timestep prior to age target 303 3.8156998364695978D+08 (age_target - star_age)/age_sigma 304 57.5674089726 reducing max timestep prior to age target 304 3.7418815832205629D+08 (age_target - star_age)/age_sigma 305 56.4544568467 reducing max timestep prior to age target 305 3.6695396950365162D+08 (age_target - star_age)/age_sigma 306 55.3637637633 reducing max timestep prior to age target 306 3.5986446446161413D+08 (age_target - star_age)/age_sigma 307 54.2948845416 reducing max timestep prior to age target 307 3.5291674952041817D+08 (age_target - star_age)/age_sigma 308 53.2473829043 reducing max timestep prior to age target 308 3.4610798887804604D+08 (age_target - star_age)/age_sigma 309 52.2208312998 reducing max timestep prior to age target 309 3.3943540344852114D+08 310 7.187217 5710.487 -0.018686 -0.018686 1.000000 1.000000 0.380952 0.005170 0.244102 -1.536450 510 0 6.8155E+00 7.187217 -0.000007 -43.064165 -1.644857 -99.000000 0.000000 0.599274 0.008649 0.017127 0.115090 5 4.2366E+09 2.152121 -0.018629 -99.000000 -99.000000 -6.909552 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.7599188130952658D-13 log_rel_run_E_err -10.2214524250989918 (age_target - star_age)/age_sigma 310 51.2148107273 reducing max timestep prior to age target 310 3.3289626972758675D+08 (age_target - star_age)/age_sigma 311 50.2289105663 reducing max timestep prior to age target 311 3.2648791868107128D+08 (age_target - star_age)/age_sigma 312 49.2627284085 reducing max timestep prior to age target 312 3.2020773465548611D+08 (age_target - star_age)/age_sigma 314 47.3690113793 reducing max timestep prior to age target 314 3.0789857396533871D+08 (age_target - star_age)/age_sigma 315 46.4410900349 reducing max timestep prior to age target 315 3.0186708522716665D+08 (age_target - star_age)/age_sigma 316 45.5317271175 reducing max timestep prior to age target 316 2.9595622626375818D+08 (age_target - star_age)/age_sigma 317 44.6405514584 reducing max timestep prior to age target 317 2.9016358447961712D+08 (age_target - star_age)/age_sigma 318 43.7671993125 reducing max timestep prior to age target 318 2.8448679553115940D+08 (age_target - star_age)/age_sigma 319 42.9113142095 reducing max timestep prior to age target 319 2.7892354236167049D+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 1.8232995535777092D-13 log_rel_run_E_err -10.2086310912120553 (age_target - star_age)/age_sigma 320 42.0725468085 reducing max timestep prior to age target 320 2.7347155425557137D+08 (age_target - star_age)/age_sigma 321 41.2505547556 reducing max timestep prior to age target 321 2.6812860591159439D+08 (age_target - star_age)/age_sigma 322 40.4450025438 reducing max timestep prior to age target 322 2.6289251653449726D+08 (age_target - star_age)/age_sigma 323 39.6555613761 reducing max timestep prior to age target 323 2.5776114894494247D+08 (age_target - star_age)/age_sigma 324 38.8819090319 reducing max timestep prior to age target 324 2.5273240870717812D+08 (age_target - star_age)/age_sigma 325 38.1237297345 reducing max timestep prior to age target 325 2.4780424327416897D+08 (age_target - star_age)/age_sigma 326 37.3807140230 reducing max timestep prior to age target 326 2.4297464114982033D+08 (age_target - star_age)/age_sigma 327 36.6525586258 reducing max timestep prior to age target 327 2.3824163106795883D+08 (age_target - star_age)/age_sigma 328 35.9389663366 reducing max timestep prior to age target 328 2.3360328118773460D+08 (age_target - star_age)/age_sigma 329 35.2396458931 reducing max timestep prior to age target 329 2.2905769830511379D+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 1.8697094503750117D-13 log_rel_run_E_err -10.1963020112255798 (age_target - star_age)/age_sigma 330 34.5543118585 reducing max timestep prior to age target 330 2.2460302708014679D+08 (age_target - star_age)/age_sigma 331 33.8826845046 reducing max timestep prior to age target 331 2.2023744927967834D+08 (age_target - star_age)/age_sigma 332 33.2244896977 reducing max timestep prior to age target 332 2.1595918303521919D+08 (age_target - star_age)/age_sigma 333 32.5794587870 reducing max timestep prior to age target 333 2.1176648211564922D+08 (age_target - star_age)/age_sigma 334 31.9473284945 reducing max timestep prior to age target 334 2.0765763521447086D+08 (age_target - star_age)/age_sigma 335 31.3278408079 reducing max timestep prior to age target 335 2.0363096525131607D+08 (age_target - star_age)/age_sigma 336 30.7207428750 reducing max timestep prior to age target 336 1.9968482868742466D+08 (age_target - star_age)/age_sigma 337 30.1257869007 reducing max timestep prior to age target 337 1.9581761485481071D+08 (age_target - star_age)/age_sigma 338 29.5427300460 reducing max timestep prior to age target 338 1.9202774529884911D+08 (age_target - star_age)/age_sigma 339 28.9713343283 reducing max timestep prior to age target 339 1.8831367313400650D+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 -15.255620 -99.000000 -6.913337 0.000000 0.000020 0.002010 0.019784 0.000E+00 max_dt rel_E_err 1.7799210825249441D-13 log_rel_run_E_err -10.1843928013269824 (age_target - star_age)/age_sigma 340 28.4113665250 reducing max timestep prior to age target 340 1.8467388241246128D+08 (age_target - star_age)/age_sigma 341 27.8625980777 reducing max timestep prior to age target 341 1.8110688750534725D+08 (age_target - star_age)/age_sigma 342 27.3248049994 reducing max timestep prior to age target 342 1.7761123249637413D+08 (age_target - star_age)/age_sigma 343 26.7977677827 reducing max timestep prior to age target 343 1.7418549058758163D+08 (age_target - star_age)/age_sigma 344 26.2812713103 reducing max timestep prior to age target 344 1.7082826351696491D+08 (age_target - star_age)/age_sigma 345 25.7751047673 reducing max timestep prior to age target 345 1.6753818098775959D+08 (age_target - star_age)/age_sigma 346 25.2790615553 reducing max timestep prior to age target 346 1.6431390010913944D+08 (age_target - star_age)/age_sigma 348 24.3068168595 reducing max timestep prior to age target 348 1.5799430958704376D+08 (age_target - star_age)/age_sigma 349 23.8304169586 reducing max timestep prior to age target 349 1.5489771023121643D+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 1.7583488413380951D-13 log_rel_run_E_err -10.1727421414889747 (age_target - star_age)/age_sigma 350 23.3635450558 reducing max timestep prior to age target 350 1.5186304286250591D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9060105909 reducing max timestep prior to age target 351 1.4888906884116936D+08 (age_target - star_age)/age_sigma 352 22.4576268154 reducing max timestep prior to age target 352 1.4597457430025959D+08 (age_target - star_age)/age_sigma 353 22.0182107154 reducing max timestep prior to age target 353 1.4311836965016842D+08 (age_target - star_age)/age_sigma 354 21.5875829374 reducing max timestep prior to age target 354 1.4031928909307861D+08 (age_target - star_age)/age_sigma 355 21.1655677149 reducing max timestep prior to age target 355 1.3757619014713097D+08 (age_target - star_age)/age_sigma 356 20.7519927969 reducing max timestep prior to age target 356 1.3488795318010139D+08 (age_target - star_age)/age_sigma 357 20.3466893773 reducing max timestep prior to age target 357 1.3225348095241356D+08 (age_target - star_age)/age_sigma 358 19.9494920260 reducing max timestep prior to age target 358 1.2967169816927814D+08 (age_target - star_age)/age_sigma 359 19.5602386218 reducing max timestep prior to age target 359 1.2714155104180622D+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 1.6538219673694945D-13 log_rel_run_E_err -10.1615414274157612 (age_target - star_age)/age_sigma 360 19.1787702857 reducing max timestep prior to age target 360 1.2466200685688400D+08 (age_target - star_age)/age_sigma 361 18.8049313163 reducing max timestep prior to age target 361 1.2223205355566025D+08 (age_target - star_age)/age_sigma 362 18.4385691262 reducing max timestep prior to age target 362 1.1985069932046032D+08 (age_target - star_age)/age_sigma 363 18.0795341800 reducing max timestep prior to age target 363 1.1751697216996479D+08 (age_target - star_age)/age_sigma 364 17.7276799327 reducing max timestep prior to age target 364 1.1522991956247902D+08 (age_target - star_age)/age_sigma 365 17.3828627703 reducing max timestep prior to age target 365 1.1298860800714302D+08 (age_target - star_age)/age_sigma 366 17.0449419512 reducing max timestep prior to age target 366 1.1079212268291473D+08 (age_target - star_age)/age_sigma 367 16.7137795485 reducing max timestep prior to age target 367 1.0863956706516933D+08 (age_target - star_age)/age_sigma 368 16.3892403938 reducing max timestep prior to age target 368 1.0653006255978012D+08 (age_target - star_age)/age_sigma 369 16.0711920222 reducing max timestep prior to age target 369 1.0446274814449787D+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 1.8600842958323479D-13 log_rel_run_E_err -10.1502916613276781 (age_target - star_age)/age_sigma 370 15.7595046181 reducing max timestep prior to age target 370 1.0243678001752186D+08 (age_target - star_age)/age_sigma 371 15.4540509620 reducing max timestep prior to age target 371 1.0045133125308514D+08 (age_target - star_age)/age_sigma 372 15.1547063791 reducing max timestep prior to age target 372 9.8505591463936806D+07 (age_target - star_age)/age_sigma 373 14.8613486878 reducing max timestep prior to age target 373 9.6598766470571518D+07 (age_target - star_age)/age_sigma 374 14.5738581503 reducing max timestep prior to age target 374 9.4730077977073669D+07 (age_target - star_age)/age_sigma 375 14.2921174236 reducing max timestep prior to age target 375 9.2898763253446579D+07 (age_target - star_age)/age_sigma 376 14.0160115114 reducing max timestep prior to age target 376 9.1104074824291229D+07 (age_target - star_age)/age_sigma 377 13.7454277175 reducing max timestep prior to age target 377 8.9345280163719177D+07 (age_target - star_age)/age_sigma 378 13.4802555994 reducing max timestep prior to age target 378 8.7621661396358490D+07 (age_target - star_age)/age_sigma 379 13.2203869237 reducing max timestep prior to age target 379 8.5932515004344940D+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 -15.352530 -99.000000 -6.915925 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.7428789629758280D-13 log_rel_run_E_err -10.1395897311416050 (age_target - star_age)/age_sigma 380 12.9657156216 reducing max timestep prior to age target 380 8.4277151540171623D+07 (age_target - star_age)/age_sigma 381 12.7161377454 reducing max timestep prior to age target 381 8.2654895345281601D+07 (age_target - star_age)/age_sigma 382 12.4715514268 reducing max timestep prior to age target 382 8.1065084274290085D+07 (age_target - star_age)/age_sigma 384 11.9921622423 reducing max timestep prior to age target 384 7.7949054575145721D+07 (age_target - star_age)/age_sigma 385 11.7572615419 reducing max timestep prior to age target 385 7.6422200022564888D+07 (age_target - star_age)/age_sigma 386 11.5270588555 reducing max timestep prior to age target 386 7.4925882561035156D+07 (age_target - star_age)/age_sigma 387 11.3014602229 reducing max timestep prior to age target 387 7.3459491448737144D+07 (age_target - star_age)/age_sigma 388 11.0803735629 reducing max timestep prior to age target 388 7.2022428158684731D+07 (age_target - star_age)/age_sigma 389 10.8637086361 reducing max timestep prior to age target 389 7.0614106134432793D+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 -15.477469 -99.000000 -6.916314 0.000000 0.000020 0.002012 0.019792 0.000E+00 max_dt rel_E_err 1.7767999962218208D-13 log_rel_run_E_err -10.1291689981413775 (age_target - star_age)/age_sigma 390 10.6513770078 reducing max timestep prior to age target 390 6.9233950550666809D+07 (age_target - star_age)/age_sigma 391 10.4432920121 reducing max timestep prior to age target 391 6.7881398078575134D+07 (age_target - star_age)/age_sigma 392 10.2393687163 reducing max timestep prior to age target 392 6.6555896655925751D+07 (age_target - star_age)/age_sigma 393 10.0395238864 reducing max timestep prior to age target 393 6.5256905261730194D+07 (age_target - star_age)/age_sigma 394 9.8436759531 reducing max timestep prior to age target 394 6.3983893695417404D+07 (age_target - star_age)/age_sigma 395 9.6517449785 reducing max timestep prior to age target 395 6.2736342360431671D+07 (age_target - star_age)/age_sigma 396 9.4636526234 reducing max timestep prior to age target 396 6.1513742052145004D+07 (age_target - star_age)/age_sigma 397 9.2793221154 reducing max timestep prior to age target 397 6.0315593750023842D+07 (age_target - star_age)/age_sigma 398 9.0986782175 reducing max timestep prior to age target 398 5.9141408413946152D+07 (age_target - star_age)/age_sigma 399 8.9216471976 reducing max timestep prior to age target 399 5.7990706784588814D+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 5 4.5126E+09 2.172335 -0.008932 -15.954590 -99.000000 -6.916633 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7660562635597343D-13 log_rel_run_E_err -10.1188631155716244 (age_target - star_age)/age_sigma 400 8.7481567981 reducing max timestep prior to age target 400 5.6863019187819481D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.5781362066 reducing max timestep prior to age target 401 5.5757885342985153D+07 (age_target - star_age)/age_sigma 402 8.4115160269 reducing max timestep prior to age target 402 5.4674854175047874D+07 (age_target - star_age)/age_sigma 403 8.2482282508 reducing max timestep prior to age target 403 5.3613483630468369D+07 (age_target - star_age)/age_sigma 404 8.0882062303 reducing max timestep prior to age target 404 5.2573340496781349D+07 (age_target - star_age)/age_sigma 405 7.9313846501 reducing max timestep prior to age target 405 5.1554000225768089D+07 (age_target - star_age)/age_sigma 406 7.7776995016 reducing max timestep prior to age target 406 5.0555046760174751D+07 (age_target - star_age)/age_sigma 407 7.6270880560 reducing max timestep prior to age target 407 4.9576072363893509D+07 (age_target - star_age)/age_sigma 408 7.4794888393 reducing max timestep prior to age target 408 4.8616677455538750D+07 (age_target - star_age)/age_sigma 409 7.3348416070 reducing max timestep prior to age target 409 4.7676470445349693D+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 1.8553337390182878D-13 log_rel_run_E_err -10.1086596370441217 (age_target - star_age)/age_sigma 410 7.1930873193 reducing max timestep prior to age target 410 4.6755067575365067D+07 (age_target - star_age)/age_sigma 411 7.0541681174 reducing max timestep prior to age target 411 4.5852092762780190D+07 (age_target - star_age)/age_sigma 412 6.9180272995 reducing max timestep prior to age target 412 4.4967177446447372D+07 (age_target - star_age)/age_sigma 413 6.7846092979 reducing max timestep prior to age target 413 4.4099960436440468D+07 (age_target - star_age)/age_sigma 414 6.6538596564 reducing max timestep prior to age target 414 4.3250087766633987D+07 (age_target - star_age)/age_sigma 415 6.5257250077 reducing max timestep prior to age target 415 4.2417212550223351D+07 (age_target - star_age)/age_sigma 416 6.4001530520 reducing max timestep prior to age target 416 4.1600994838141441D+07 (age_target - star_age)/age_sigma 418 6.1540320188 reducing max timestep prior to age target 418 4.0001208122460365D+07 (age_target - star_age)/age_sigma 419 6.0334327126 reducing max timestep prior to age target 419 3.9217312631775856D+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 -99.000000 -99.000000 -6.917109 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.7722844690176024D-13 log_rel_run_E_err -10.0990646594350970 (age_target - star_age)/age_sigma 420 5.9152453924 reducing max timestep prior to age target 420 3.8449095050906181D+07 (age_target - star_age)/age_sigma 421 5.7994218187 reducing max timestep prior to age target 421 3.7696241821653366D+07 (age_target - star_age)/age_sigma 422 5.6859147165 reducing max timestep prior to age target 422 3.6958445656986237D+07 (age_target - star_age)/age_sigma 423 5.5746777562 reducing max timestep prior to age target 423 3.6235405415611267D+07 (age_target - star_age)/age_sigma 424 5.4656655352 reducing max timestep prior to age target 424 3.5526825979064941D+07 (age_target - star_age)/age_sigma 425 5.3588335587 reducing max timestep prior to age target 425 3.4832418131248474D+07 (age_target - star_age)/age_sigma 426 5.2541382216 reducing max timestep prior to age target 426 3.4151898440388680D+07 (age_target - star_age)/age_sigma 427 5.1515367913 reducing max timestep prior to age target 427 3.3484989143345833D+07 (age_target - star_age)/age_sigma 428 5.0509873896 reducing max timestep prior to age target 428 3.2831418032244682D+07 (age_target - star_age)/age_sigma 429 4.9519484212 reducing max timestep prior to age target 429 3.2187664737494469D+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 1.8020117821325920D-13 log_rel_run_E_err -10.0892344134495087 (age_target - star_age)/age_sigma 430 4.8529094527 remaining steps and years until age target 430 49 3.1543911442745209D+07 (age_target - star_age)/age_sigma 431 4.7538704843 reducing max timestep prior to age target 431 3.0900158147994995D+07 (age_target - star_age)/age_sigma 432 4.6548315159 reducing max timestep prior to age target 432 3.0256404853244781D+07 (age_target - star_age)/age_sigma 433 4.5557925475 remaining steps and years until age target 433 46 2.9612651558495522D+07 (age_target - star_age)/age_sigma 434 4.4567535790 reducing max timestep prior to age target 434 2.8968898263745308D+07 (age_target - star_age)/age_sigma 435 4.3577146106 reducing max timestep prior to age target 435 2.8325144968995094D+07 (age_target - star_age)/age_sigma 436 4.2586756422 remaining steps and years until age target 436 43 2.7681391674245834D+07 (age_target - star_age)/age_sigma 437 4.1596366738 reducing max timestep prior to age target 437 2.7037638379495621D+07 (age_target - star_age)/age_sigma 438 4.0605977053 reducing max timestep prior to age target 438 2.6393885084745407D+07 (age_target - star_age)/age_sigma 439 3.9615587369 remaining steps and years until age target 439 40 2.5750131789996147D+07 440 7.192871 5716.106 -0.007858 -0.007858 1.000000 1.000000 0.354443 0.005271 0.242245 -1.522274 510 0 5.8087E+00 7.192871 0.004550 -42.701229 -1.626638 -99.000000 0.000000 0.625762 0.008557 0.017012 0.118579 3 4.5444E+09 2.174708 -0.007806 -15.477469 -99.000000 -6.917454 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.6892015981722706D-13 log_rel_run_E_err -10.0801533485627832 (age_target - star_age)/age_sigma 440 3.8625197685 reducing max timestep prior to age target 440 2.5106378495245934D+07 (age_target - star_age)/age_sigma 441 3.7634808001 reducing max timestep prior to age target 441 2.4462625200495720D+07 (age_target - star_age)/age_sigma 442 3.6644418317 reducing max timestep prior to age target 442 2.3818871905745506D+07 (age_target - star_age)/age_sigma 443 3.5654028632 remaining steps and years until age target 443 36 2.3175118610996246D+07 (age_target - star_age)/age_sigma 444 3.4663638948 reducing max timestep prior to age target 444 2.2531365316246033D+07 (age_target - star_age)/age_sigma 445 3.3673249264 reducing max timestep prior to age target 445 2.1887612021495819D+07 (age_target - star_age)/age_sigma 446 3.2682859580 remaining steps and years until age target 446 33 2.1243858726746559D+07 (age_target - star_age)/age_sigma 447 3.1692469895 reducing max timestep prior to age target 447 2.0600105431996346D+07 (age_target - star_age)/age_sigma 448 3.0702080211 reducing max timestep prior to age target 448 1.9956352137246132D+07 (age_target - star_age)/age_sigma 449 2.9711690527 remaining steps and years until age target 449 30 1.9312598842496872D+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 1.7593541717943571D-13 log_rel_run_E_err -10.0709758448797562 (age_target - star_age)/age_sigma 450 2.8721300843 reducing max timestep prior to age target 450 1.8668845547746658D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7730911158 reducing max timestep prior to age target 451 1.8025092252996445D+07 (age_target - star_age)/age_sigma 452 2.6740521474 remaining steps and years until age target 452 27 1.7381338958247185D+07 (age_target - star_age)/age_sigma 453 2.5750131790 reducing max timestep prior to age target 453 1.6737585663496971D+07 (age_target - star_age)/age_sigma 454 2.4759742106 reducing max timestep prior to age target 454 1.6093832368746758D+07 (age_target - star_age)/age_sigma 455 2.3769352422 reducing max timestep prior to age target 455 1.5450079073996544D+07 (age_target - star_age)/age_sigma 456 2.2778962737 remaining steps and years until age target 456 23 1.4806325779247284D+07 (age_target - star_age)/age_sigma 457 2.1788573053 reducing max timestep prior to age target 457 1.4162572484497070D+07 (age_target - star_age)/age_sigma 458 2.0798183369 reducing max timestep prior to age target 458 1.3518819189746857D+07 (age_target - star_age)/age_sigma 459 1.9807793685 remaining steps and years until age target 459 20 1.2875065894997597D+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 1.8784311124801329D-13 log_rel_run_E_err -10.0619248624865563 (age_target - star_age)/age_sigma 460 1.8817404000 reducing max timestep prior to age target 460 1.2231312600247383D+07 (age_target - star_age)/age_sigma 461 1.7827014316 reducing max timestep prior to age target 461 1.1587559305497169D+07 (age_target - star_age)/age_sigma 462 1.6836624632 remaining steps and years until age target 462 17 1.0943806010747910D+07 (age_target - star_age)/age_sigma 463 1.5846234948 reducing max timestep prior to age target 463 1.0300052715997696D+07 (age_target - star_age)/age_sigma 464 1.4855845263 reducing max timestep prior to age target 464 9.6562994212474823D+06 (age_target - star_age)/age_sigma 465 1.3865455579 remaining steps and years until age target 465 14 9.0125461264982224D+06 (age_target - star_age)/age_sigma 466 1.2875065895 reducing max timestep prior to age target 466 8.3687928317480087D+06 (age_target - star_age)/age_sigma 467 1.1884676211 reducing max timestep prior to age target 467 7.7250395369977951D+06 (age_target - star_age)/age_sigma 468 1.0894286527 remaining steps and years until age target 468 11 7.0812862422485352D+06 (age_target - star_age)/age_sigma 469 0.9903896842 reducing max timestep prior to age target 469 6.4375329474983215D+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 1.7124475274940977D-13 log_rel_run_E_err -10.0532293696892374 (age_target - star_age)/age_sigma 470 0.8913507158 reducing max timestep prior to age target 470 5.7937796527481079D+06 (age_target - star_age)/age_sigma 471 0.7923117474 reducing max timestep prior to age target 471 5.1500263579978943D+06 (age_target - star_age)/age_sigma 472 0.6932727790 remaining steps and years until age target 472 7 4.5062730632486343D+06 (age_target - star_age)/age_sigma 473 0.5942338105 reducing max timestep prior to age target 473 3.8625197684984207D+06 (age_target - star_age)/age_sigma 474 0.4951948421 reducing max timestep prior to age target 474 3.2187664737482071D+06 (age_target - star_age)/age_sigma 475 0.3961558737 remaining steps and years until age target 475 4 2.5750131789989471D+06 (age_target - star_age)/age_sigma 476 0.2971169053 reducing max timestep prior to age target 476 1.9312598842487335D+06 (age_target - star_age)/age_sigma 477 0.1980779368 reducing max timestep prior to age target 477 1.2875065894985199D+06 (age_target - star_age)/age_sigma 478 0.0990389684 remaining steps and years until age target 478 1 6.4375329475021362D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333376.79 0.00 333376.79 save outputs/best.mod 479 save outputs/best.profile for model 479 save LOGS/profile11.data for model 479 have reached age_target save LOGS/profile11.data for model 479 solver retries 4 varcontrol dt limit 162 max increase dt limit 2143 lgRho_cntr dt limit 73 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333376.79 0.00 333376.79 have reached age_target runtime (minutes), retries, steps 3.00 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 1.7485633350585181D-13 log_rel_run_E_err -10.0455360256735755 Teff 5716.5483620722 radius 1.0114129282 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 130.2549300955 M_H 0.0003508639 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 0.1231054475 log_R 0.0049285006 delta_nu 139.1365856807 nu_max 3023.4851123040 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 333376.7926785143 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 "7925f3a" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251017" "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 3.3337679267851432E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721607E+03 1.0114129281998743E+00 3.5086385894186152E-04 4.9285006214041822E-03 1.3913658568074439E+02 3.0234851123040030E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851432E+05 0 0 0 0 0 0 0 1 3.3351283960191271E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383765982E+03 1.0231407131234167E+00 -1.7395981943719165E-03 9.9353665865764985E-03 1.3680762272704359E+02 2.9640776267829979E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191271E+05 0 0 0 0 0 0 0 3 3.3365606602482294E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367950E+03 1.0099970103007245E+00 2.9466215561488481E-02 4.3200882263855428E-03 1.3947582155333640E+02 3.0536692076806949E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482294E+05 0 0 0 0 0 0 0 2 3.3468070564325689E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271829E+03 1.0622782375814146E+00 -1.2788199776495082E-02 2.6238284372326726E-02 1.2938435093834246E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325689E+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 3.9562810869851778D-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 1.8246319607504208D-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 -99.000000 -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 2.4692958051424622D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.2004330292732877D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6100000000000001D-05 initial_he4 2.6097390000000004D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999647D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999495D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999304D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999084D+09 10 6.616017 4252.685 -4.940030 -4.940030 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023968 457 0 -4.3321E+00 6.616017 0.265362 -99.000000 -6.337779 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072072 10 2.3634E-04 0.147009 0.000072 -20.293948 -99.000000 -6.877439 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6201150275909680D-13 log_rel_run_E_err -11.5806239460024205 20 6.616025 4297.513 -4.940035 -4.940035 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023968 457 0 -3.5403E+00 6.616025 0.265448 -99.000000 -6.337784 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072072 6 1.6863E-03 0.147021 0.018458 -99.000000 -99.000000 -6.898674 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7195181025204273D-13 log_rel_run_E_err -11.2766115396253976 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 2.8714360065462312D-13 log_rel_run_E_err -11.0999303499075666 40 6.616046 4306.939 -4.940022 -4.940022 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -1.9567E+00 6.616046 0.265591 -99.000000 -6.337771 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 6.6254E-02 0.147053 0.022551 -20.771070 -99.000000 -6.903173 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6482479478233975D-13 log_rel_run_E_err -10.9741593821885424 50 6.616047 4307.066 -4.940021 -4.940021 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -1.1648E+00 6.616047 0.265595 -99.000000 -6.337771 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 4.1045E-01 0.147054 0.022609 -99.000000 -99.000000 -6.903235 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7832859459003188D-13 log_rel_run_E_err -10.8761563399138588 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.616047 4307.067 -4.940020 -4.940020 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -3.7303E-01 6.616047 0.265595 -99.000000 -6.337770 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 2.5416E+00 0.147054 0.022610 -99.000000 -99.000000 -6.903236 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.8245467119526155D-13 log_rel_run_E_err -10.7966252586936680 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 2.6107313356795466D-13 log_rel_run_E_err -10.7298665793765267 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 -20.470040 -99.000000 -6.903226 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6519610232332455D-13 log_rel_run_E_err -10.6709881407031144 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 2.5561201968106606D-13 log_rel_run_E_err -10.6198165953096630 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.616253 4306.828 -4.937803 -4.937803 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023014 457 0 2.7942E+00 6.616253 0.265363 -99.000000 -6.335552 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072076 2 3.7357E+03 0.147774 0.022050 -99.000000 -99.000000 -6.902847 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6992806128143263D-13 log_rel_run_E_err -10.5742820558756154 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 2.6150075312262688D-13 log_rel_run_E_err -10.5336112554248107 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 2.7640747868731075D-13 log_rel_run_E_err -10.4721708613197695 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 -19.771070 -99.000000 -6.825305 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6553942044749090D-13 log_rel_run_E_err -10.4677491676983188 140 6.738006 4178.200 -3.535991 -3.535991 1.000000 1.000000 0.720041 0.000958 0.260999 -3.157813 466 0 5.8317E+00 6.738006 0.119164 -99.000000 -4.933525 -99.000000 0.000000 0.261003 0.008891 0.018957 0.083361 3 5.0210E+06 0.702558 -0.323021 -19.265920 -99.000000 -6.660089 0.000000 0.003267 0.001976 0.018957 0.000E+00 varcontrol rel_E_err 1.9384181690343560D-11 log_rel_run_E_err -10.3221044850180057 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 2.1948962116678086D-13 log_rel_run_E_err -10.4344217264696724 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 -16.556650 -99.000000 -6.826841 0.000000 0.003263 0.001976 0.018959 0.000E+00 lgRho_cntr rel_E_err 1.6336389956976713D-13 log_rel_run_E_err -10.5699286995250716 (age_target - star_age)/age_sigma 169 694.7990561017 reducing max timestep prior to age target 169 4.5161938646613226D+09 170 7.125461 5499.907 -0.187476 -0.187476 1.000000 1.000000 0.718254 0.002658 0.260792 -1.719774 509 0 6.8221E+00 7.125461 -0.052114 -47.558964 -1.779550 -99.000000 0.000000 0.262541 0.008893 0.018944 0.085141 5 5.9945E+07 1.890365 -0.188112 -15.477469 -99.000000 -6.795056 0.000000 0.001811 0.001977 0.019204 0.000E+00 max increase rel_E_err 1.8117312689841827D-13 log_rel_run_E_err -10.6102665362281012 (age_target - star_age)/age_sigma 177 677.9484205989 reducing max timestep prior to age target 177 4.4066647338929310D+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 1.9933402452492216D-13 log_rel_run_E_err -10.5802719427043446 (age_target - star_age)/age_sigma 180 661.9635994353 reducing max timestep prior to age target 180 4.3027633963293571D+09 (age_target - star_age)/age_sigma 182 645.2691224749 reducing max timestep prior to age target 182 4.1942492960871363D+09 (age_target - star_age)/age_sigma 183 634.3418284645 reducing max timestep prior to age target 183 4.1232218850195007D+09 (age_target - star_age)/age_sigma 184 622.0228846068 reducing max timestep prior to age target 184 4.0431487499445214D+09 (age_target - star_age)/age_sigma 185 609.9503196263 reducing max timestep prior to age target 185 3.9646770775710411D+09 (age_target - star_age)/age_sigma 186 598.1192059454 reducing max timestep prior to age target 186 3.8877748386450310D+09 (age_target - star_age)/age_sigma 187 586.5247145381 reducing max timestep prior to age target 187 3.8124106444975410D+09 (age_target - star_age)/age_sigma 188 575.1621129589 reducing max timestep prior to age target 188 3.7385537342330008D+09 (age_target - star_age)/age_sigma 189 564.0267634113 reducing max timestep prior to age target 189 3.6661739621737509D+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 1.7690668171832410D-13 log_rel_run_E_err -10.5529366396518878 (age_target - star_age)/age_sigma 190 553.1141208547 reducing max timestep prior to age target 190 3.5952417855556860D+09 (age_target - star_age)/age_sigma 191 542.4197311492 reducing max timestep prior to age target 191 3.5257282524699831D+09 (age_target - star_age)/age_sigma 192 531.9392292378 reducing max timestep prior to age target 192 3.4576049900459938D+09 (age_target - star_age)/age_sigma 193 521.6683373647 reducing max timestep prior to age target 193 3.3908441928704844D+09 (age_target - star_age)/age_sigma 194 511.6028633290 reducing max timestep prior to age target 194 3.3254186116384850D+09 (age_target - star_age)/age_sigma 195 501.7386987740 reducing max timestep prior to age target 195 3.2613015420311260D+09 (age_target - star_age)/age_sigma 196 492.0718175101 reducing max timestep prior to age target 196 3.1984668138159142D+09 (age_target - star_age)/age_sigma 197 482.5982738715 reducing max timestep prior to age target 197 3.1368887801650062D+09 (age_target - star_age)/age_sigma 198 473.3142011057 reducing max timestep prior to age target 198 3.0765423071871166D+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 -15.352530 -99.000000 -6.827056 0.000000 0.000015 0.001998 0.019717 0.000E+00 max_dt rel_E_err 1.8246769475886183D-13 log_rel_run_E_err -10.5260855940028364 (age_target - star_age)/age_sigma 200 455.1174184847 reducing max timestep prior to age target 200 2.9582632201504526D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 446.2009950004 reducing max timestep prior to age target 201 2.9003064675024877D+09 (age_target - star_age)/age_sigma 202 437.4628999858 reducing max timestep prior to age target 202 2.8435088499074817D+09 (age_target - star_age)/age_sigma 203 428.8995668714 reducing max timestep prior to age target 203 2.7878471846643763D+09 (age_target - star_age)/age_sigma 204 420.5075004194 reducing max timestep prior to age target 204 2.7332987527261324D+09 (age_target - star_age)/age_sigma 205 412.2832752964 reducing max timestep prior to age target 205 2.6798412894266534D+09 (age_target - star_age)/age_sigma 206 404.2235346759 reducing max timestep prior to age target 206 2.6274529753931642D+09 (age_target - star_age)/age_sigma 207 396.3249888677 reducing max timestep prior to age target 207 2.5761124276403446D+09 (age_target - star_age)/age_sigma 208 388.5844139758 reducing max timestep prior to age target 208 2.5257986908425817D+09 (age_target - star_age)/age_sigma 209 380.9986505817 reducing max timestep prior to age target 209 2.4764912287807741D+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 -99.000000 -99.000000 -6.836677 0.000000 0.000015 0.002005 0.019788 0.000E+00 max_dt rel_E_err 1.7958420995905619D-13 log_rel_run_E_err -10.5013978124229048 (age_target - star_age)/age_sigma 210 373.5646024554 reducing max timestep prior to age target 210 2.4281699159602022D+09 (age_target - star_age)/age_sigma 211 366.2792352917 reducing max timestep prior to age target 211 2.3808150293960419D+09 (age_target - star_age)/age_sigma 212 359.1395754713 reducing max timestep prior to age target 212 2.3344072405631652D+09 (age_target - star_age)/age_sigma 213 352.1427088472 reducing max timestep prior to age target 213 2.2889276075069456D+09 (age_target - star_age)/age_sigma 214 345.2857795557 reducing max timestep prior to age target 214 2.2443575671118503D+09 (age_target - star_age)/age_sigma 215 338.5659888499 reducing max timestep prior to age target 215 2.2006789275246572D+09 (age_target - star_age)/age_sigma 216 331.9805939583 reducing max timestep prior to age target 216 2.1578738607292085D+09 (age_target - star_age)/age_sigma 217 325.5269069646 reducing max timestep prior to age target 217 2.1159248952696681D+09 (age_target - star_age)/age_sigma 218 319.2022937107 reducing max timestep prior to age target 218 2.0748149091193185D+09 (age_target - star_age)/age_sigma 219 313.0041727218 reducing max timestep prior to age target 219 2.0345271226919761D+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 1.9458326850616197D-13 log_rel_run_E_err -10.4773494578287050 (age_target - star_age)/age_sigma 220 306.9300141528 reducing max timestep prior to age target 220 1.9950450919931803D+09 (age_target - star_age)/age_sigma 221 300.9773387551 reducing max timestep prior to age target 221 1.9563527019083605D+09 (age_target - star_age)/age_sigma 222 295.1437168654 reducing max timestep prior to age target 222 1.9184341596252375D+09 (age_target - star_age)/age_sigma 223 289.4267674135 reducing max timestep prior to age target 223 1.8812739881877766D+09 (age_target - star_age)/age_sigma 224 283.8241569506 reducing max timestep prior to age target 224 1.8448570201790652D+09 (age_target - star_age)/age_sigma 225 278.3335986970 reducing max timestep prior to age target 225 1.8091683915305276D+09 (age_target - star_age)/age_sigma 226 272.9528516085 reducing max timestep prior to age target 226 1.7741935354549608D+09 (age_target - star_age)/age_sigma 227 267.6797194617 reducing max timestep prior to age target 227 1.7399181765009055D+09 (age_target - star_age)/age_sigma 228 262.5120499578 reducing max timestep prior to age target 228 1.7063283247259316D+09 (age_target - star_age)/age_sigma 229 257.4477338441 reducing max timestep prior to age target 229 1.6734102699864569D+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 1.9205625202903925D-13 log_rel_run_E_err -10.4546612542471085 (age_target - star_age)/age_sigma 230 252.4847040526 reducing max timestep prior to age target 230 1.6411505763417716D+09 (age_target - star_age)/age_sigma 231 247.6209348569 reducing max timestep prior to age target 231 1.6095360765699801D+09 (age_target - star_age)/age_sigma 232 242.8544410452 reducing max timestep prior to age target 232 1.5785538667936244D+09 (age_target - star_age)/age_sigma 233 238.1832771097 reducing max timestep prior to age target 233 1.5481913012127957D+09 (age_target - star_age)/age_sigma 235 229.0277957961 reducing max timestep prior to age target 235 1.4886806726743722D+09 (age_target - star_age)/age_sigma 236 224.5416099524 reducing max timestep prior to age target 236 1.4595204646905441D+09 (age_target - star_age)/age_sigma 237 220.1451478256 reducing max timestep prior to age target 237 1.4309434608663931D+09 (age_target - star_age)/age_sigma 238 215.8366149413 reducing max timestep prior to age target 238 1.4029379971187248D+09 (age_target - star_age)/age_sigma 239 211.6142527148 reducing max timestep prior to age target 239 1.3754926426460099D+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 -15.954590 -99.000000 -6.857604 0.000000 0.000017 0.002019 0.019922 0.000E+00 max_dt rel_E_err 1.9003048258540318D-13 log_rel_run_E_err -10.4332120346230255 (age_target - star_age)/age_sigma 240 207.4763377327 reducing max timestep prior to age target 240 1.3485961952627497D+09 (age_target - star_age)/age_sigma 241 203.4211810503 reducing max timestep prior to age target 241 1.3222376768271546D+09 (age_target - star_age)/age_sigma 242 199.4471275016 reducing max timestep prior to age target 242 1.2964063287602706D+09 (age_target - star_age)/age_sigma 243 195.5525550238 reducing max timestep prior to age target 243 1.2710916076547251D+09 (age_target - star_age)/age_sigma 244 191.7358739956 reducing max timestep prior to age target 244 1.2462831809712901D+09 (age_target - star_age)/age_sigma 245 187.9955265879 reducing max timestep prior to age target 245 1.2219709228215241D+09 (age_target - star_age)/age_sigma 246 184.3299861284 reducing max timestep prior to age target 246 1.1981449098347535D+09 (age_target - star_age)/age_sigma 247 180.7377564781 reducing max timestep prior to age target 247 1.1747954171077180D+09 (age_target - star_age)/age_sigma 248 177.2173714208 reducing max timestep prior to age target 248 1.1519129142352233D+09 (age_target - star_age)/age_sigma 249 173.7673940646 reducing max timestep prior to age target 249 1.1294880614201784D+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 -99.000000 -99.000000 -6.862532 0.000000 0.000017 0.002023 0.019950 0.000E+00 max_dt rel_E_err 1.7813027340929599D-13 log_rel_run_E_err -10.4132612665537927 (age_target - star_age)/age_sigma 250 170.3864162556 reducing max timestep prior to age target 250 1.1075117056614342D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 167.0730580027 reducing max timestep prior to age target 251 1.0859748770178657D+09 (age_target - star_age)/age_sigma 252 163.8259669149 reducing max timestep prior to age target 252 1.0648687849471679D+09 (age_target - star_age)/age_sigma 253 160.6438176489 reducing max timestep prior to age target 253 1.0441848147178841D+09 (age_target - star_age)/age_sigma 254 157.5253113682 reducing max timestep prior to age target 254 1.0239145238931861D+09 (age_target - star_age)/age_sigma 255 154.4691752131 reducing max timestep prior to age target 255 1.0040496388849826D+09 (age_target - star_age)/age_sigma 256 151.4741617811 reducing max timestep prior to age target 256 9.8458205157694244D+08 (age_target - star_age)/age_sigma 257 148.5390486177 reducing max timestep prior to age target 257 9.6550381601506329D+08 (age_target - star_age)/age_sigma 258 145.6626377176 reducing max timestep prior to age target 258 9.4680714516442156D+08 (age_target - star_age)/age_sigma 259 142.8437550355 reducing max timestep prior to age target 259 9.2848440773079252D+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 -99.000000 -99.000000 -6.866624 0.000000 0.000017 0.002025 0.019972 0.000E+00 max_dt rel_E_err 1.7061330852056929D-13 log_rel_run_E_err -10.3937556684674579 (age_target - star_age)/age_sigma 260 140.0812500071 reducing max timestep prior to age target 260 9.1052812504583693D+08 (age_target - star_age)/age_sigma 261 137.3739950792 reducing max timestep prior to age target 261 8.9293096801457977D+08 (age_target - star_age)/age_sigma 262 134.7208852498 reducing max timestep prior to age target 262 8.7568575412394762D+08 (age_target - star_age)/age_sigma 263 132.1208376171 reducing max timestep prior to age target 263 8.5878544451112843D+08 (age_target - star_age)/age_sigma 264 129.5727909370 reducing max timestep prior to age target 264 8.4222314109056568D+08 (age_target - star_age)/age_sigma 265 127.0757051905 reducing max timestep prior to age target 265 8.2599208373841429D+08 (age_target - star_age)/age_sigma 266 124.6285611590 reducing max timestep prior to age target 266 8.1008564753330564D+08 (age_target - star_age)/age_sigma 267 122.2303600080 reducing max timestep prior to age target 267 7.9449734005229902D+08 (age_target - star_age)/age_sigma 269 117.5298857522 reducing max timestep prior to age target 269 7.6394425738952637D+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 1.8253864549318057D-13 log_rel_run_E_err -10.3751597363048074 (age_target - star_age)/age_sigma 270 115.2266533669 reducing max timestep prior to age target 270 7.4897324688476753D+08 (age_target - star_age)/age_sigma 271 112.9694856292 reducing max timestep prior to age target 271 7.3430165659010410D+08 (age_target - star_age)/age_sigma 272 110.7574612464 reducing max timestep prior to age target 272 7.1992349810133410D+08 (age_target - star_age)/age_sigma 273 108.5896773511 reducing max timestep prior to age target 273 7.0583290278233957D+08 (age_target - star_age)/age_sigma 274 106.4652491338 reducing max timestep prior to age target 274 6.9202411936972427D+08 (age_target - star_age)/age_sigma 275 104.3833094808 reducing max timestep prior to age target 275 6.7849151162536192D+08 (age_target - star_age)/age_sigma 276 102.3430086209 reducing max timestep prior to age target 276 6.6522955603588676D+08 (age_target - star_age)/age_sigma 277 100.3435137782 reducing max timestep prior to age target 277 6.5223283955820084D+08 (age_target - star_age)/age_sigma 278 98.3840088323 reducing max timestep prior to age target 278 6.3949605741006851D+08 (age_target - star_age)/age_sigma 279 96.4636939854 reducing max timestep prior to age target 279 6.2701401090489912D+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 1.9081053915754734D-13 log_rel_run_E_err -10.3568926157212005 (age_target - star_age)/age_sigma 280 94.5817854354 reducing max timestep prior to age target 280 6.1478160532983303D+08 (age_target - star_age)/age_sigma 281 92.7375150563 reducing max timestep prior to age target 281 6.0279384786626816D+08 (age_target - star_age)/age_sigma 282 90.9301300849 reducing max timestep prior to age target 282 5.9104584555197477D+08 (age_target - star_age)/age_sigma 283 89.1588928129 reducing max timestep prior to age target 283 5.7953280328396702D+08 (age_target - star_age)/age_sigma 284 87.4230802864 reducing max timestep prior to age target 284 5.6825002186131907D+08 (age_target - star_age)/age_sigma 285 85.7219840103 reducing max timestep prior to age target 285 5.5719289606712484D+08 (age_target - star_age)/age_sigma 286 84.0549096598 reducing max timestep prior to age target 286 5.4635691278881454D+08 (age_target - star_age)/age_sigma 287 82.4211767963 reducing max timestep prior to age target 287 5.3573764917607021D+08 (age_target - star_age)/age_sigma 288 80.8201185901 reducing max timestep prior to age target 288 5.2533077083558083D+08 (age_target - star_age)/age_sigma 289 79.2510815480 reducing max timestep prior to age target 289 5.1513203006190109D+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 -15.954590 -99.000000 -6.875260 0.000000 0.000018 0.002030 0.020015 0.000E+00 max_dt rel_E_err 1.8704145529900052D-13 log_rel_run_E_err -10.3397331879638159 (age_target - star_age)/age_sigma 290 77.7134252467 reducing max timestep prior to age target 290 5.0513726410369492D+08 (age_target - star_age)/age_sigma 291 76.2065220715 reducing max timestep prior to age target 291 4.9534239346465349D+08 (age_target - star_age)/age_sigma 292 74.7297569598 reducing max timestep prior to age target 292 4.8574342023839235D+08 (age_target - star_age)/age_sigma 293 73.2825271503 reducing max timestep prior to age target 293 4.7633642647665644D+08 (age_target - star_age)/age_sigma 294 71.8642419369 reducing max timestep prior to age target 294 4.6711757259015512D+08 (age_target - star_age)/age_sigma 295 70.4743224279 reducing max timestep prior to age target 295 4.5808309578138351D+08 (age_target - star_age)/age_sigma 296 69.1122013090 reducing max timestep prior to age target 296 4.4922930850878811D+08 (age_target - star_age)/age_sigma 297 67.7773226126 reducing max timestep prior to age target 297 4.4055259698164415D+08 (age_target - star_age)/age_sigma 298 66.4691414900 reducing max timestep prior to age target 298 4.3204941968504333D+08 (age_target - star_age)/age_sigma 299 65.1871239899 reducing max timestep prior to age target 299 4.2371630593437433D+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 1.6823862840447536D-13 log_rel_run_E_err -10.3233921260949746 (age_target - star_age)/age_sigma 300 63.9307468398 reducing max timestep prior to age target 300 4.1554985445871878D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.6994972327 reducing max timestep prior to age target 301 4.0754673201257658D+08 (age_target - star_age)/age_sigma 302 61.4928726177 reducing max timestep prior to age target 302 3.9970367201535702D+08 (age_target - star_age)/age_sigma 304 59.1278883724 reducing max timestep prior to age target 304 3.8433127442080593D+08 (age_target - star_age)/age_sigma 305 57.9690460922 reducing max timestep prior to age target 305 3.7679879959947634D+08 (age_target - star_age)/age_sigma 306 56.8333806576 reducing max timestep prior to age target 306 3.6941697427457285D+08 (age_target - star_age)/age_sigma 307 55.7204285317 reducing max timestep prior to age target 307 3.6218278545616817D+08 (age_target - star_age)/age_sigma 308 54.6297354483 reducing max timestep prior to age target 308 3.5509328041413069D+08 (age_target - star_age)/age_sigma 309 53.5608562266 reducing max timestep prior to age target 309 3.4814556547293472D+08 310 7.175109 5611.950 -0.057044 -0.057044 1.000000 1.000000 0.414406 0.005097 0.237157 -1.539658 509 0 6.8331E+00 7.175109 -0.004065 -43.775519 -1.695632 -99.000000 0.000000 0.565563 0.008910 0.017418 0.112251 5 4.2282E+09 2.122299 -0.056981 -15.954590 -99.000000 -6.878829 0.000000 0.000018 0.002032 0.020031 0.000E+00 max_dt rel_E_err 1.7871180855548824D-13 log_rel_run_E_err -10.3073582372370538 (age_target - star_age)/age_sigma 310 52.5133545893 reducing max timestep prior to age target 310 3.4133680483056259D+08 (age_target - star_age)/age_sigma 311 51.4868029848 reducing max timestep prior to age target 311 3.3466421940103769D+08 (age_target - star_age)/age_sigma 312 50.4807824123 reducing max timestep prior to age target 312 3.2812508568010330D+08 (age_target - star_age)/age_sigma 313 49.4948822513 reducing max timestep prior to age target 313 3.2171673463358784D+08 (age_target - star_age)/age_sigma 314 48.5287000935 reducing max timestep prior to age target 314 3.1543655060800266D+08 (age_target - star_age)/age_sigma 315 47.5818415789 reducing max timestep prior to age target 315 3.0928197026292896D+08 (age_target - star_age)/age_sigma 316 46.6539202346 reducing max timestep prior to age target 316 3.0325048152475691D+08 (age_target - star_age)/age_sigma 317 45.7445573171 reducing max timestep prior to age target 317 2.9733962256134796D+08 (age_target - star_age)/age_sigma 318 44.8533816580 reducing max timestep prior to age target 318 2.9154698077720737D+08 (age_target - star_age)/age_sigma 319 43.9800295121 reducing max timestep prior to age target 319 2.8587019182874966D+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 1.8317144940151899D-13 log_rel_run_E_err -10.2919712317646450 (age_target - star_age)/age_sigma 320 43.1241444091 reducing max timestep prior to age target 320 2.8030693865926075D+08 (age_target - star_age)/age_sigma 321 42.2853770082 reducing max timestep prior to age target 321 2.7485495055316210D+08 (age_target - star_age)/age_sigma 322 41.4633849553 reducing max timestep prior to age target 322 2.6951200220918465D+08 (age_target - star_age)/age_sigma 323 40.6578327434 reducing max timestep prior to age target 323 2.6427591283208752D+08 (age_target - star_age)/age_sigma 324 39.8683915758 reducing max timestep prior to age target 324 2.5914454524253273D+08 (age_target - star_age)/age_sigma 325 39.0947392315 reducing max timestep prior to age target 325 2.5411580500476837D+08 (age_target - star_age)/age_sigma 326 38.3365599341 reducing max timestep prior to age target 326 2.4918763957175922D+08 (age_target - star_age)/age_sigma 327 37.5935442227 reducing max timestep prior to age target 327 2.4435803744741058D+08 (age_target - star_age)/age_sigma 328 36.8653888255 reducing max timestep prior to age target 328 2.3962502736554909D+08 (age_target - star_age)/age_sigma 329 36.1517965362 reducing max timestep prior to age target 329 2.3498667748532486D+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 -15.176439 -99.000000 -6.881261 0.000000 0.000018 0.002034 0.020042 0.000E+00 max_dt rel_E_err 1.8505987280466195D-13 log_rel_run_E_err -10.2770312786356648 (age_target - star_age)/age_sigma 330 35.4524760927 reducing max timestep prior to age target 330 2.3044109460270405D+08 (age_target - star_age)/age_sigma 331 34.7671420581 reducing max timestep prior to age target 331 2.2598642337773705D+08 (age_target - star_age)/age_sigma 332 34.0955147042 reducing max timestep prior to age target 332 2.2162084557726860D+08 (age_target - star_age)/age_sigma 333 33.4373198974 reducing max timestep prior to age target 333 2.1734257933280945D+08 (age_target - star_age)/age_sigma 334 32.7922889867 reducing max timestep prior to age target 334 2.1314987841323948D+08 (age_target - star_age)/age_sigma 335 32.1601586942 reducing max timestep prior to age target 335 2.0904103151206112D+08 (age_target - star_age)/age_sigma 336 31.5406710075 reducing max timestep prior to age target 336 2.0501436154890633D+08 (age_target - star_age)/age_sigma 337 30.9335730746 reducing max timestep prior to age target 337 2.0106822498501492D+08 (age_target - star_age)/age_sigma 338 30.3386171004 reducing max timestep prior to age target 338 1.9720101115240097D+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 -99.000000 -99.000000 -6.882164 0.000000 0.000018 0.002034 0.020046 0.000E+00 max_dt rel_E_err 1.8717065813712560D-13 log_rel_run_E_err -10.2624374430160579 (age_target - star_age)/age_sigma 340 29.1725033908 reducing max timestep prior to age target 340 1.8962127204047775D+08 (age_target - star_age)/age_sigma 341 28.6011076732 reducing max timestep prior to age target 341 1.8590719987563515D+08 (age_target - star_age)/age_sigma 342 28.0411398699 reducing max timestep prior to age target 342 1.8226740915408993D+08 (age_target - star_age)/age_sigma 343 27.4923714226 reducing max timestep prior to age target 343 1.7870041424697590D+08 (age_target - star_age)/age_sigma 344 26.9545783443 reducing max timestep prior to age target 344 1.7520475923800278D+08 (age_target - star_age)/age_sigma 345 26.4275411276 reducing max timestep prior to age target 345 1.7177901732921028D+08 (age_target - star_age)/age_sigma 346 25.9110446552 reducing max timestep prior to age target 346 1.6842179025859261D+08 (age_target - star_age)/age_sigma 347 25.4048781122 reducing max timestep prior to age target 347 1.6513170772938824D+08 (age_target - star_age)/age_sigma 348 24.9088349001 reducing max timestep prior to age target 348 1.6190742685076809D+08 (age_target - star_age)/age_sigma 349 24.4227125523 reducing max timestep prior to age target 349 1.5874763158971977D+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 1.5963739335264445D-13 log_rel_run_E_err -10.2487066796228561 (age_target - star_age)/age_sigma 350 23.9463126514 reducing max timestep prior to age target 350 1.5565103223389244D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.4794407485 reducing max timestep prior to age target 351 1.5261636486518192D+08 (age_target - star_age)/age_sigma 352 23.0219062837 reducing max timestep prior to age target 352 1.4964239084384537D+08 (age_target - star_age)/age_sigma 353 22.5735225081 reducing max timestep prior to age target 353 1.4672789630293655D+08 (age_target - star_age)/age_sigma 354 22.1341064081 reducing max timestep prior to age target 354 1.4387169165284443D+08 (age_target - star_age)/age_sigma 355 21.7034786301 reducing max timestep prior to age target 355 1.4107261109575462D+08 (age_target - star_age)/age_sigma 356 21.2814634077 reducing max timestep prior to age target 356 1.3832951214980698D+08 (age_target - star_age)/age_sigma 357 20.8678884897 reducing max timestep prior to age target 357 1.3564127518277836D+08 (age_target - star_age)/age_sigma 358 20.4625850700 reducing max timestep prior to age target 358 1.3300680295508957D+08 (age_target - star_age)/age_sigma 359 20.0653877188 reducing max timestep prior to age target 359 1.3042502017195511D+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 1.8324610094098062D-13 log_rel_run_E_err -10.2350042965442647 (age_target - star_age)/age_sigma 360 19.6761343145 reducing max timestep prior to age target 360 1.2789487304448318D+08 (age_target - star_age)/age_sigma 361 19.2946659784 reducing max timestep prior to age target 361 1.2541532885956001D+08 (age_target - star_age)/age_sigma 362 18.9208270090 reducing max timestep prior to age target 362 1.2298537555833626D+08 (age_target - star_age)/age_sigma 363 18.5544648189 reducing max timestep prior to age target 363 1.2060402132313728D+08 (age_target - star_age)/age_sigma 364 18.1954298727 reducing max timestep prior to age target 364 1.1827029417264080D+08 (age_target - star_age)/age_sigma 365 17.8435756254 reducing max timestep prior to age target 365 1.1598324156515598D+08 (age_target - star_age)/age_sigma 366 17.4987584630 reducing max timestep prior to age target 366 1.1374193000981998D+08 (age_target - star_age)/age_sigma 367 17.1608376439 reducing max timestep prior to age target 367 1.1154544468559074D+08 (age_target - star_age)/age_sigma 368 16.8296752412 reducing max timestep prior to age target 368 1.0939288906784630D+08 (age_target - star_age)/age_sigma 369 16.5051360865 reducing max timestep prior to age target 369 1.0728338456245613D+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 -15.954590 -99.000000 -6.884034 0.000000 0.000019 0.002035 0.020053 0.000E+00 max_dt rel_E_err 1.8687705886040735D-13 log_rel_run_E_err -10.2219576388688438 (age_target - star_age)/age_sigma 370 16.1870877149 reducing max timestep prior to age target 370 1.0521607014717484D+08 (age_target - star_age)/age_sigma 371 15.8754003108 reducing max timestep prior to age target 371 1.0319010202019787D+08 (age_target - star_age)/age_sigma 372 15.5699466547 reducing max timestep prior to age target 372 1.0120465325576115D+08 (age_target - star_age)/age_sigma 374 14.9712574888 reducing max timestep prior to age target 374 9.7313173677465439D+07 (age_target - star_age)/age_sigma 375 14.6778997976 reducing max timestep prior to age target 375 9.5406348684100151D+07 (age_target - star_age)/age_sigma 376 14.3904092601 reducing max timestep prior to age target 376 9.3537660190602303D+07 (age_target - star_age)/age_sigma 377 14.1086685334 reducing max timestep prior to age target 377 9.1706345466975212D+07 (age_target - star_age)/age_sigma 378 13.8325626212 reducing max timestep prior to age target 378 8.9911657037819862D+07 (age_target - star_age)/age_sigma 379 13.5619788273 reducing max timestep prior to age target 379 8.8152862377247810D+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 1.8449704923989224D-13 log_rel_run_E_err -10.2091906971178368 (age_target - star_age)/age_sigma 380 13.2968067092 reducing max timestep prior to age target 380 8.6429243609887123D+07 (age_target - star_age)/age_sigma 381 13.0369380335 reducing max timestep prior to age target 381 8.4740097217873573D+07 (age_target - star_age)/age_sigma 382 12.7822667313 reducing max timestep prior to age target 382 8.3084733753700256D+07 (age_target - star_age)/age_sigma 383 12.5326888552 reducing max timestep prior to age target 383 8.1462477558810234D+07 (age_target - star_age)/age_sigma 384 12.2881025366 reducing max timestep prior to age target 384 7.9872666487818718D+07 (age_target - star_age)/age_sigma 385 12.0484079443 reducing max timestep prior to age target 385 7.8314651638246536D+07 (age_target - star_age)/age_sigma 386 11.8135072439 reducing max timestep prior to age target 386 7.6787797085665703D+07 (age_target - star_age)/age_sigma 387 11.5833045576 reducing max timestep prior to age target 387 7.5291479624135971D+07 (age_target - star_age)/age_sigma 388 11.3577059249 reducing max timestep prior to age target 388 7.3825088511837959D+07 (age_target - star_age)/age_sigma 389 11.1366192649 reducing max timestep prior to age target 389 7.2388025221785545D+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 1.7868428744407868D-13 log_rel_run_E_err -10.1965618879465474 (age_target - star_age)/age_sigma 390 10.9199543381 reducing max timestep prior to age target 390 7.0979703197533607D+07 (age_target - star_age)/age_sigma 391 10.7076227098 reducing max timestep prior to age target 391 6.9599547613767624D+07 (age_target - star_age)/age_sigma 392 10.4995377141 reducing max timestep prior to age target 392 6.8246995141675949D+07 (age_target - star_age)/age_sigma 393 10.2956144183 reducing max timestep prior to age target 393 6.6921493719027519D+07 (age_target - star_age)/age_sigma 394 10.0957695884 reducing max timestep prior to age target 394 6.5622502324831009D+07 (age_target - star_age)/age_sigma 395 9.8999216552 reducing max timestep prior to age target 395 6.4349490758518219D+07 (age_target - star_age)/age_sigma 396 9.7079906805 reducing max timestep prior to age target 396 6.3101939423532486D+07 (age_target - star_age)/age_sigma 397 9.5198983254 reducing max timestep prior to age target 397 6.1879339115245819D+07 (age_target - star_age)/age_sigma 398 9.3355678174 reducing max timestep prior to age target 398 6.0681190813124657D+07 (age_target - star_age)/age_sigma 399 9.1549239195 reducing max timestep prior to age target 399 5.9507005477046967D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.179708 5617.598 -0.047854 -0.047854 1.000000 1.000000 0.392233 0.005153 0.235577 -1.527594 510 0 6.0610E+00 7.179708 -0.000345 -43.472742 -1.681426 -99.000000 0.000000 0.587710 0.008869 0.017315 0.114945 5 4.5111E+09 2.140916 -0.047794 -15.954590 -99.000000 -6.885076 0.000000 0.000019 0.002036 0.020057 0.000E+00 max_dt rel_E_err 1.8919595411850488D-13 log_rel_run_E_err -10.1845566440905824 (age_target - star_age)/age_sigma 400 8.9778928996 reducing max timestep prior to age target 400 5.8356303847689629D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.8044025001 reducing max timestep prior to age target 401 5.7228616250920296D+07 (age_target - star_age)/age_sigma 402 8.6343819086 reducing max timestep prior to age target 402 5.6123482406085968D+07 (age_target - star_age)/age_sigma 403 8.4677617289 reducing max timestep prior to age target 403 5.5040451238148689D+07 (age_target - star_age)/age_sigma 404 8.3044739529 reducing max timestep prior to age target 404 5.3979080693569183D+07 (age_target - star_age)/age_sigma 405 8.1444519323 reducing max timestep prior to age target 405 5.2938937559882164D+07 (age_target - star_age)/age_sigma 406 7.9876303521 reducing max timestep prior to age target 406 5.1919597288868904D+07 (age_target - star_age)/age_sigma 407 7.8339452036 reducing max timestep prior to age target 407 5.0920643823275566D+07 (age_target - star_age)/age_sigma 409 7.5327223124 reducing max timestep prior to age target 409 4.8962695030714035D+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 -15.954590 -99.000000 -6.885307 0.000000 0.000019 0.002036 0.020058 0.000E+00 max_dt rel_E_err 1.7265127384548652D-13 log_rel_run_E_err -10.1725127872276673 (age_target - star_age)/age_sigma 410 7.3851230957 reducing max timestep prior to age target 410 4.8003300122358322D+07 (age_target - star_age)/age_sigma 411 7.2404758634 reducing max timestep prior to age target 411 4.7063093112170219D+07 (age_target - star_age)/age_sigma 412 7.0987215757 reducing max timestep prior to age target 412 4.6141690242185593D+07 (age_target - star_age)/age_sigma 413 6.9598023738 reducing max timestep prior to age target 413 4.5238715429599762D+07 (age_target - star_age)/age_sigma 414 6.8236615559 reducing max timestep prior to age target 414 4.4353800113266945D+07 (age_target - star_age)/age_sigma 415 6.6902435543 reducing max timestep prior to age target 415 4.3486583103260040D+07 (age_target - star_age)/age_sigma 416 6.5594939128 reducing max timestep prior to age target 416 4.2636710433453560D+07 (age_target - star_age)/age_sigma 417 6.4313592642 reducing max timestep prior to age target 417 4.1803835217042923D+07 (age_target - star_age)/age_sigma 418 6.3057873085 reducing max timestep prior to age target 418 4.0987617504961014D+07 (age_target - star_age)/age_sigma 419 6.1827267919 reducing max timestep prior to age target 419 4.0187724147120476D+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 1.9347288503429183D-13 log_rel_run_E_err -10.1611642216765556 (age_target - star_age)/age_sigma 420 6.0621274856 reducing max timestep prior to age target 420 3.9403828656436920D+07 (age_target - star_age)/age_sigma 421 5.9439401655 reducing max timestep prior to age target 421 3.8635611075566292D+07 (age_target - star_age)/age_sigma 422 5.8281165917 reducing max timestep prior to age target 422 3.7882757846313477D+07 (age_target - star_age)/age_sigma 423 5.7146094895 reducing max timestep prior to age target 423 3.7144961681646347D+07 (age_target - star_age)/age_sigma 424 5.6033725293 reducing max timestep prior to age target 424 3.6421921440271378D+07 (age_target - star_age)/age_sigma 425 5.4943603083 reducing max timestep prior to age target 425 3.5713342003725052D+07 (age_target - star_age)/age_sigma 426 5.3875283317 reducing max timestep prior to age target 426 3.5018934155908585D+07 (age_target - star_age)/age_sigma 427 5.2828329946 reducing max timestep prior to age target 427 3.4338414465049744D+07 (age_target - star_age)/age_sigma 428 5.1802315643 reducing max timestep prior to age target 428 3.3671505168006897D+07 (age_target - star_age)/age_sigma 429 5.0796821626 reducing max timestep prior to age target 429 3.3017934056904793D+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 -99.000000 -99.000000 -6.885655 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt rel_E_err 1.8573612015604859D-13 log_rel_run_E_err -10.1499204467056341 (age_target - star_age)/age_sigma 430 4.9800805516 remaining steps and years until age target 430 50 3.2370523585201263D+07 (age_target - star_age)/age_sigma 431 4.8804789405 remaining steps and years until age target 431 49 3.1723113113497734D+07 (age_target - star_age)/age_sigma 432 4.7808773295 remaining steps and years until age target 432 48 3.1075702641794205D+07 (age_target - star_age)/age_sigma 433 4.6812757185 reducing max timestep prior to age target 433 3.0428292170089722D+07 (age_target - star_age)/age_sigma 434 4.5816741074 remaining steps and years until age target 434 46 2.9780881698386192D+07 (age_target - star_age)/age_sigma 435 4.4820724964 remaining steps and years until age target 435 45 2.9133471226682663D+07 (age_target - star_age)/age_sigma 436 4.3824708854 reducing max timestep prior to age target 436 2.8486060754978180D+07 (age_target - star_age)/age_sigma 437 4.2828692743 remaining steps and years until age target 437 43 2.7838650283274651D+07 (age_target - star_age)/age_sigma 438 4.1832676633 reducing max timestep prior to age target 438 2.7191239811570168D+07 (age_target - star_age)/age_sigma 439 4.0836660523 reducing max timestep prior to age target 439 2.6543829339865685D+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 -15.653560 -99.000000 -6.885799 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt rel_E_err 1.9260113956894444D-13 log_rel_run_E_err -10.1390396110562850 (age_target - star_age)/age_sigma 440 3.9840644413 remaining steps and years until age target 440 40 2.5896418868162155D+07 (age_target - star_age)/age_sigma 441 3.8844628302 remaining steps and years until age target 441 39 2.5249008396458626D+07 (age_target - star_age)/age_sigma 442 3.7848612192 reducing max timestep prior to age target 442 2.4601597924754143D+07 (age_target - star_age)/age_sigma 443 3.6852596082 remaining steps and years until age target 443 37 2.3954187453050613D+07 (age_target - star_age)/age_sigma 444 3.5856579971 reducing max timestep prior to age target 444 2.3306776981346130D+07 (age_target - star_age)/age_sigma 445 3.4860563861 reducing max timestep prior to age target 445 2.2659366509641647D+07 (age_target - star_age)/age_sigma 446 3.3864547751 remaining steps and years until age target 446 34 2.2011956037938118D+07 (age_target - star_age)/age_sigma 447 3.2868531640 reducing max timestep prior to age target 447 2.1364545566233635D+07 (age_target - star_age)/age_sigma 448 3.1872515530 remaining steps and years until age target 448 32 2.0717135094530106D+07 (age_target - star_age)/age_sigma 449 3.0876499420 reducing max timestep prior to age target 449 2.0069724622825623D+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 -99.000000 -99.000000 -6.885942 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt rel_E_err 1.9645978348430258D-13 log_rel_run_E_err -10.1282173923711891 (age_target - star_age)/age_sigma 450 2.9880483309 remaining steps and years until age target 450 30 1.9422314151122093D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8884467199 reducing max timestep prior to age target 451 1.8774903679417610D+07 (age_target - star_age)/age_sigma 452 2.7888451089 remaining steps and years until age target 452 28 1.8127493207714081D+07 (age_target - star_age)/age_sigma 453 2.6892434978 reducing max timestep prior to age target 453 1.7480082736009598D+07 (age_target - star_age)/age_sigma 454 2.5896418868 reducing max timestep prior to age target 454 1.6832672264305115D+07 (age_target - star_age)/age_sigma 455 2.4900402758 remaining steps and years until age target 455 25 1.6185261792601585D+07 (age_target - star_age)/age_sigma 456 2.3904386648 reducing max timestep prior to age target 456 1.5537851320897102D+07 (age_target - star_age)/age_sigma 457 2.2908370537 reducing max timestep prior to age target 457 1.4890440849192619D+07 (age_target - star_age)/age_sigma 458 2.1912354427 remaining steps and years until age target 458 22 1.4243030377489090D+07 (age_target - star_age)/age_sigma 459 2.0916338317 remaining steps and years until age target 459 21 1.3595619905785561D+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 1.7734493214402412D-13 log_rel_run_E_err -10.1178105925481745 (age_target - star_age)/age_sigma 460 1.9920322206 reducing max timestep prior to age target 460 1.2948209434081078D+07 (age_target - star_age)/age_sigma 461 1.8924306096 remaining steps and years until age target 461 19 1.2300798962377548D+07 (age_target - star_age)/age_sigma 462 1.7928289986 reducing max timestep prior to age target 462 1.1653388490673065D+07 (age_target - star_age)/age_sigma 463 1.6932273875 reducing max timestep prior to age target 463 1.1005978018968582D+07 (age_target - star_age)/age_sigma 464 1.5936257765 remaining steps and years until age target 464 16 1.0358567547265053D+07 (age_target - star_age)/age_sigma 465 1.4940241655 reducing max timestep prior to age target 465 9.7111570755605698D+06 (age_target - star_age)/age_sigma 466 1.3944225544 remaining steps and years until age target 466 14 9.0637466038570404D+06 (age_target - star_age)/age_sigma 467 1.2948209434 reducing max timestep prior to age target 467 8.4163361321525574D+06 (age_target - star_age)/age_sigma 468 1.1952193324 remaining steps and years until age target 468 12 7.7689256604490280D+06 (age_target - star_age)/age_sigma 469 1.0956177213 reducing max timestep prior to age target 469 7.1215151887445450D+06 470 7.180570 5618.611 -0.046152 -0.046152 1.000000 1.000000 0.388141 0.005164 0.235290 -1.525331 510 0 5.8112E+00 7.180570 0.000349 -43.416442 -1.678742 -99.000000 0.000000 0.591798 0.008860 0.017296 0.115460 3 4.5630E+09 2.144398 -0.046092 -99.000000 -99.000000 -6.886230 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.8206261073912385D-13 log_rel_run_E_err -10.1076467764314604 (age_target - star_age)/age_sigma 470 0.9960161103 remaining steps and years until age target 470 10 6.4741047170410156D+06 (age_target - star_age)/age_sigma 471 0.8964144993 reducing max timestep prior to age target 471 5.8266942453365326D+06 (age_target - star_age)/age_sigma 472 0.7968128883 reducing max timestep prior to age target 472 5.1792837736320496D+06 (age_target - star_age)/age_sigma 473 0.6972112772 remaining steps and years until age target 473 7 4.5318733019285202D+06 (age_target - star_age)/age_sigma 474 0.5976096662 reducing max timestep prior to age target 474 3.8844628302240372D+06 (age_target - star_age)/age_sigma 475 0.4980080552 remaining steps and years until age target 475 5 3.2370523585205078D+06 (age_target - star_age)/age_sigma 476 0.3984064441 reducing max timestep prior to age target 476 2.5896418868160248D+06 (age_target - star_age)/age_sigma 477 0.2988048331 reducing max timestep prior to age target 477 1.9422314151115417D+06 (age_target - star_age)/age_sigma 478 0.1992032221 remaining steps and years until age target 478 2 1.2948209434080124D+06 (age_target - star_age)/age_sigma 479 0.0996016110 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 1.7303985603968643D-13 log_rel_run_E_err -10.0975689113904945 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 2.97 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 1.7303985603968643D-13 log_rel_run_E_err -10.0975689113904945 Teff 5618.7368615173 radius 1.0010042019 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1.0084215513 M_H 0.0039078812 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 15.2715351826 log_R 0.0004359005 delta_nu 141.3127210040 nu_max 3113.4409186002 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2610000000 initial_FeH 0.0600000000 alpha 2.0000000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 333338.7599855780 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 "7925f3a" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251017" "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 3.3333875998557796E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615173200E+03 1.0010042019474803E+00 3.9078811628069096E-03 4.3590053503667412E-04 1.4131272100398823E+02 3.1134409186002226E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557796E+05 0 0 0 0 0 0 0 4 3.3337679267851432E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721607E+03 1.0114129281998743E+00 3.5086385894186152E-04 4.9285006214041822E-03 1.3913658568074439E+02 3.0234851123040030E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851432E+05 0 0 0 0 0 0 0 1 3.3351283960191271E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383765982E+03 1.0231407131234167E+00 -1.7395981943719165E-03 9.9353665865764985E-03 1.3680762272704359E+02 2.9640776267829979E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191271E+05 0 0 0 0 0 0 0 3 3.3365606602482294E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367950E+03 1.0099970103007245E+00 2.9466215561488481E-02 4.3200882263855428E-03 1.3947582155333640E+02 3.0536692076806949E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482294E+05 0 0 0 0 0 0 0 2 3.3468070564325689E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271829E+03 1.0622782375814146E+00 -1.2788199776495082E-02 2.6238284372326726E-02 1.2938435093834246E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325689E+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 3.9562810869851778D-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 1.8246319607504208D-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 -99.000000 -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 2.4692958051424622D-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 -20.169010 -99.000000 -6.892801 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5261631813906248D-13 log_rel_run_E_err -11.5784146408121398 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 -20.470040 -99.000000 -6.898682 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7275105047878291D-13 log_rel_run_E_err -11.2771853325936355 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 -20.771070 -99.000000 -6.900725 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7405607925660999D-13 log_rel_run_E_err -11.0989889987599621 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 2.5671783650683180D-13 log_rel_run_E_err -10.9749537373804014 50 6.620909 4360.365 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1 -1.5003E+00 6.620909 0.263067 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 4 1.8977E-01 0.154704 0.038918 -20.169010 -99.000000 -6.900290 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6864952322190086D-13 log_rel_run_E_err -10.8775411207014656 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 -20.470040 -99.000000 -6.899978 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6324293556075652D-13 log_rel_run_E_err -10.7984373052236258 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 -99.000000 -99.000000 -6.899973 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.4795522704762427D-13 log_rel_run_E_err -10.7319347273774017 80 6.620910 4359.596 -4.908904 -4.908904 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027560 457 1 8.7511E-01 6.620910 0.263054 -99.000000 -6.306652 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 4.5005E+01 0.154712 0.038587 -20.771070 -99.000000 -6.899954 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6846126540841795D-13 log_rel_run_E_err -10.6748065328136477 90 6.620922 4359.559 -4.908762 -4.908762 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027493 457 1 1.6669E+00 6.620922 0.263037 -99.000000 -6.306511 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071839 10 2.7866E+02 0.154758 0.038538 -20.072100 -99.000000 -6.899918 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 4.3045492608845706D-13 log_rel_run_E_err -10.5803726317333648 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.620999 4359.468 -4.907882 -4.907882 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027077 457 1 2.4587E+00 6.620999 0.262944 -99.000000 -6.305631 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071842 2 1.7254E+03 0.155054 0.038316 -99.000000 -99.000000 -6.899769 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5646430369609996D-13 log_rel_run_E_err -10.5384871732181313 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.621478 4358.901 -4.902453 -4.902453 1.000000 1.000000 0.712376 0.000890 0.270000 -4.024505 457 1 3.2505E+00 6.621478 0.262374 -99.000000 -6.300201 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071864 2 1.0683E+04 0.156883 0.036950 -99.000000 -99.000000 -6.898850 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5630333791260736D-13 log_rel_run_E_err -10.5006155744570133 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 3.8766731375243038D-15 log_rel_run_E_err -10.4737674746673033 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 -20.169010 -99.000000 -6.861216 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6384454536033866D-13 log_rel_run_E_err -10.4202128377416354 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 -19.566950 -99.000000 -6.733749 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 4.6278004302166052D-12 log_rel_run_E_err -10.3517086792565962 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 2.2530308895417392D-13 log_rel_run_E_err -10.4598123850069520 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 1.9402649557262430D-13 log_rel_run_E_err -10.5796097138361205 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 -15.255620 -99.000000 -6.824534 0.000000 0.002361 0.001838 0.017740 0.000E+00 max increase rel_E_err 2.0975280071329229D-13 log_rel_run_E_err -10.6862704427376762 (age_target - star_age)/age_sigma 173 694.7474824407 reducing max timestep prior to age target 173 4.5158586358645077D+09 180 7.132576 5623.798 -0.130991 -0.130991 1.000000 1.000000 0.704701 0.004374 0.269138 -1.677134 511 1 7.3313E+00 7.132576 -0.042805 -47.061369 -1.775424 -99.000000 0.000000 0.277162 0.008273 0.017575 0.086331 10 1.4639E+08 1.921941 -0.130798 -15.653560 -99.000000 -6.818386 0.000000 0.000055 0.001839 0.018137 0.000E+00 max increase rel_E_err 1.9312660685119409D-13 log_rel_run_E_err -10.6489942922610688 (age_target - star_age)/age_sigma 180 680.4785088514 reducing max timestep prior to age target 180 4.4231103075343800D+09 (age_target - star_age)/age_sigma 183 666.0693698233 reducing max timestep prior to age target 183 4.3294509038512335D+09 (age_target - star_age)/age_sigma 185 651.0205283591 reducing max timestep prior to age target 185 4.2316334343342409D+09 (age_target - star_age)/age_sigma 187 629.3501966507 reducing max timestep prior to age target 187 4.0907762782297721D+09 (age_target - star_age)/age_sigma 188 617.0312527930 reducing max timestep prior to age target 188 4.0107031431547928D+09 (age_target - star_age)/age_sigma 189 604.9586878125 reducing max timestep prior to age target 189 3.9322314707813129D+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 1.8269041193943687D-13 log_rel_run_E_err -10.6147868830482093 (age_target - star_age)/age_sigma 190 593.1275741316 reducing max timestep prior to age target 190 3.8553292318553023D+09 (age_target - star_age)/age_sigma 191 581.5330827243 reducing max timestep prior to age target 191 3.7799650377078123D+09 (age_target - star_age)/age_sigma 192 570.1704811451 reducing max timestep prior to age target 192 3.7061081274432716D+09 (age_target - star_age)/age_sigma 193 559.0351315975 reducing max timestep prior to age target 193 3.6337283553840222D+09 (age_target - star_age)/age_sigma 194 548.1224890409 reducing max timestep prior to age target 194 3.5627961787659574D+09 (age_target - star_age)/age_sigma 195 537.4280993354 reducing max timestep prior to age target 195 3.4932826456802540D+09 (age_target - star_age)/age_sigma 196 526.9475974240 reducing max timestep prior to age target 196 3.4251593832562652D+09 (age_target - star_age)/age_sigma 197 516.6767055509 reducing max timestep prior to age target 197 3.3583985860807557D+09 (age_target - star_age)/age_sigma 198 506.6112315152 reducing max timestep prior to age target 198 3.2929730048487568D+09 (age_target - star_age)/age_sigma 199 496.7470669602 reducing max timestep prior to age target 199 3.2288559352413974D+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 1.8545545877062004D-13 log_rel_run_E_err -10.5834023685126795 (age_target - star_age)/age_sigma 200 487.0801856963 reducing max timestep prior to age target 200 3.1660212070261850D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 477.6066420577 reducing max timestep prior to age target 201 3.1044431733752775D+09 (age_target - star_age)/age_sigma 202 468.3225692919 reducing max timestep prior to age target 202 3.0440967003973880D+09 (age_target - star_age)/age_sigma 203 459.2241779814 reducing max timestep prior to age target 203 2.9849571568790560D+09 (age_target - star_age)/age_sigma 204 450.3077544971 reducing max timestep prior to age target 204 2.9270004042310905D+09 (age_target - star_age)/age_sigma 205 441.5696594825 reducing max timestep prior to age target 205 2.8702027866360846D+09 (age_target - star_age)/age_sigma 206 433.0063263682 reducing max timestep prior to age target 206 2.8145411213929791D+09 (age_target - star_age)/age_sigma 207 424.6142599161 reducing max timestep prior to age target 207 2.7599926894547358D+09 (age_target - star_age)/age_sigma 208 416.3900347931 reducing max timestep prior to age target 208 2.7065352261552567D+09 (age_target - star_age)/age_sigma 209 408.3302941726 reducing max timestep prior to age target 209 2.6541469121217675D+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 1.8722130765160704D-13 log_rel_run_E_err -10.5539237520691884 (age_target - star_age)/age_sigma 210 400.4317483645 reducing max timestep prior to age target 210 2.6028063643689480D+09 (age_target - star_age)/age_sigma 211 392.6911734725 reducing max timestep prior to age target 211 2.5524926275711851D+09 (age_target - star_age)/age_sigma 212 385.1054100784 reducing max timestep prior to age target 212 2.5031851655093775D+09 (age_target - star_age)/age_sigma 213 377.6713619521 reducing max timestep prior to age target 213 2.4548638526888056D+09 (age_target - star_age)/age_sigma 214 370.3859947884 reducing max timestep prior to age target 214 2.4075089661246452D+09 (age_target - star_age)/age_sigma 215 363.2463349680 reducing max timestep prior to age target 215 2.3611011772917681D+09 (age_target - star_age)/age_sigma 216 356.2494683439 reducing max timestep prior to age target 216 2.3156215442355485D+09 (age_target - star_age)/age_sigma 217 349.3925390524 reducing max timestep prior to age target 217 2.2710515038404536D+09 (age_target - star_age)/age_sigma 218 342.6727483467 reducing max timestep prior to age target 218 2.2273728642532606D+09 220 7.161731 5679.795 -0.058348 -0.058348 1.000000 1.000000 0.523042 0.004585 0.253535 -1.600043 517 1 7.6315E+00 7.161731 -0.015150 -44.801517 -1.711038 -99.000000 0.000000 0.458525 0.008310 0.016658 0.099751 10 2.4277E+09 2.045781 -0.058275 -99.000000 -99.000000 -6.871048 0.000000 0.000015 0.001868 0.018433 0.000E+00 max_dt rel_E_err 1.8843315652886136D-13 log_rel_run_E_err -10.5268061282322520 (age_target - star_age)/age_sigma 220 329.5019585634 reducing max timestep prior to age target 220 2.1417627306623626D+09 (age_target - star_age)/age_sigma 221 323.0482715697 reducing max timestep prior to age target 221 2.0998137652028227D+09 (age_target - star_age)/age_sigma 222 316.7236583158 reducing max timestep prior to age target 222 2.0587037790524731D+09 (age_target - star_age)/age_sigma 223 310.5255373269 reducing max timestep prior to age target 223 2.0184159926251307D+09 (age_target - star_age)/age_sigma 224 304.4513787579 reducing max timestep prior to age target 224 1.9789339619263344D+09 (age_target - star_age)/age_sigma 225 298.4987033602 reducing max timestep prior to age target 225 1.9402415718415151D+09 (age_target - star_age)/age_sigma 226 292.6650814705 reducing max timestep prior to age target 226 1.9023230295583916D+09 (age_target - star_age)/age_sigma 227 286.9481320186 reducing max timestep prior to age target 227 1.8651628581209307D+09 (age_target - star_age)/age_sigma 228 281.3455215557 reducing max timestep prior to age target 228 1.8287458901122193D+09 (age_target - star_age)/age_sigma 229 275.8549633021 reducing max timestep prior to age target 229 1.7930572614636817D+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 1.7286172723556059D-13 log_rel_run_E_err -10.5008583741852348 (age_target - star_age)/age_sigma 230 270.4742162136 reducing max timestep prior to age target 230 1.7580824053881154D+09 (age_target - star_age)/age_sigma 231 265.2010840668 reducing max timestep prior to age target 231 1.7238070464340601D+09 (age_target - star_age)/age_sigma 232 260.0334145629 reducing max timestep prior to age target 232 1.6902171946590858D+09 (age_target - star_age)/age_sigma 233 254.9690984492 reducing max timestep prior to age target 233 1.6572991399196110D+09 (age_target - star_age)/age_sigma 234 250.0060686577 reducing max timestep prior to age target 234 1.6250394462749257D+09 (age_target - star_age)/age_sigma 235 245.1422994620 reducing max timestep prior to age target 235 1.5934249465031343D+09 (age_target - star_age)/age_sigma 236 240.3758056503 reducing max timestep prior to age target 236 1.5624427367267785D+09 (age_target - star_age)/age_sigma 237 235.7046417148 reducing max timestep prior to age target 237 1.5320801711459503D+09 (age_target - star_age)/age_sigma 238 231.1269010580 reducing max timestep prior to age target 238 1.5023248568767385D+09 (age_target - star_age)/age_sigma 239 226.6407152143 reducing max timestep prior to age target 239 1.4731646488929105D+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 1.9513082547933442D-13 log_rel_run_E_err -10.4767605015496663 (age_target - star_age)/age_sigma 240 222.2442530875 reducing max timestep prior to age target 240 1.4445876450687590D+09 (age_target - star_age)/age_sigma 241 217.9357202032 reducing max timestep prior to age target 241 1.4165821813210912D+09 (age_target - star_age)/age_sigma 242 213.7133579767 reducing max timestep prior to age target 242 1.3891368268483763D+09 (age_target - star_age)/age_sigma 243 209.5754429946 reducing max timestep prior to age target 243 1.3622403794651155D+09 (age_target - star_age)/age_sigma 244 205.5202863122 reducing max timestep prior to age target 244 1.3358818610295205D+09 (age_target - star_age)/age_sigma 245 201.5462327635 reducing max timestep prior to age target 245 1.3100505129626369D+09 (age_target - star_age)/age_sigma 246 197.6516602857 reducing max timestep prior to age target 246 1.2847357918570914D+09 (age_target - star_age)/age_sigma 247 193.8349792575 reducing max timestep prior to age target 247 1.2599273651736565D+09 (age_target - star_age)/age_sigma 248 190.0946318498 reducing max timestep prior to age target 248 1.2356151070238905D+09 (age_target - star_age)/age_sigma 249 186.4290913903 reducing max timestep prior to age target 249 1.2117890940371199D+09 250 7.176829 5699.811 -0.026439 -0.026439 1.000000 1.000000 0.442801 0.004721 0.247041 -1.563207 518 1 7.3683E+00 7.176829 -0.002254 -43.763514 -1.665570 -99.000000 0.000000 0.538665 0.008238 0.016271 0.107528 10 3.3811E+09 2.106772 -0.026373 -15.051500 -99.000000 -6.894869 0.000000 0.000017 0.001880 0.018533 0.000E+00 max_dt rel_E_err 1.9059243935020632D-13 log_rel_run_E_err -10.4535034154490116 (age_target - star_age)/age_sigma 250 182.8368617400 reducing max timestep prior to age target 250 1.1884396013100843D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.3164766827 reducing max timestep prior to age target 251 1.1655570984375896D+09 (age_target - star_age)/age_sigma 252 175.8664993265 reducing max timestep prior to age target 252 1.1431322456225448D+09 (age_target - star_age)/age_sigma 254 169.1045437085 reducing max timestep prior to age target 254 1.0991795341050563D+09 (age_target - star_age)/age_sigma 255 165.7911854556 reducing max timestep prior to age target 255 1.0776427054614878D+09 (age_target - star_age)/age_sigma 256 162.5440943678 reducing max timestep prior to age target 256 1.0565366133907900D+09 (age_target - star_age)/age_sigma 257 159.3619451018 reducing max timestep prior to age target 257 1.0358526431615062D+09 (age_target - star_age)/age_sigma 258 156.2434388210 reducing max timestep prior to age target 258 1.0155823523368082D+09 (age_target - star_age)/age_sigma 259 153.1873026659 reducing max timestep prior to age target 259 9.9571746732860422D+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 1.8590174425238880D-13 log_rel_run_E_err -10.4320823761005066 (age_target - star_age)/age_sigma 260 150.1922892339 reducing max timestep prior to age target 260 9.7624988002056408D+08 (age_target - star_age)/age_sigma 261 147.2571760706 reducing max timestep prior to age target 261 9.5717164445868540D+08 (age_target - star_age)/age_sigma 262 144.3807651705 reducing max timestep prior to age target 262 9.3847497360804367D+08 (age_target - star_age)/age_sigma 263 141.5618824884 reducing max timestep prior to age target 263 9.2015223617441463D+08 (age_target - star_age)/age_sigma 264 138.7993774599 reducing max timestep prior to age target 264 9.0219595348945856D+08 (age_target - star_age)/age_sigma 265 136.0921225320 reducing max timestep prior to age target 265 8.8459879645820141D+08 (age_target - star_age)/age_sigma 266 133.4390127027 reducing max timestep prior to age target 266 8.6735358256756973D+08 (age_target - star_age)/age_sigma 267 130.8389650700 reducing max timestep prior to age target 267 8.5045327295475054D+08 (age_target - star_age)/age_sigma 268 128.2909183899 reducing max timestep prior to age target 268 8.3389096953418779D+08 (age_target - star_age)/age_sigma 269 125.7938326434 reducing max timestep prior to age target 269 8.1765991218203592D+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 1.8657255448678853D-13 log_rel_run_E_err -10.4110740614164694 (age_target - star_age)/age_sigma 270 123.3466886118 reducing max timestep prior to age target 270 8.0175347597692776D+08 (age_target - star_age)/age_sigma 271 120.9484874609 reducing max timestep prior to age target 271 7.8616516849592113D+08 (age_target - star_age)/age_sigma 272 118.5982503330 reducing max timestep prior to age target 272 7.7088862716453457D+08 (age_target - star_age)/age_sigma 273 116.2950179477 reducing max timestep prior to age target 273 7.5591761665977573D+08 (age_target - star_age)/age_sigma 274 114.0378502100 reducing max timestep prior to age target 274 7.4124602636511278D+08 (age_target - star_age)/age_sigma 275 111.8258258271 reducing max timestep prior to age target 275 7.2686786787634230D+08 (age_target - star_age)/age_sigma 276 109.6580419319 reducing max timestep prior to age target 276 7.1277727255734777D+08 (age_target - star_age)/age_sigma 277 107.5336137146 reducing max timestep prior to age target 277 6.9896848914473295D+08 (age_target - star_age)/age_sigma 278 105.4516740616 reducing max timestep prior to age target 278 6.8543588140037060D+08 (age_target - star_age)/age_sigma 279 103.4113732017 reducing max timestep prior to age target 279 6.7217392581089497D+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 1.8918610486423003D-13 log_rel_run_E_err -10.3908506739972797 (age_target - star_age)/age_sigma 280 101.4118783590 reducing max timestep prior to age target 280 6.5917720933320904D+08 (age_target - star_age)/age_sigma 281 99.4523734131 reducing max timestep prior to age target 281 6.4644042718507719D+08 (age_target - star_age)/age_sigma 282 97.5320585661 reducing max timestep prior to age target 282 6.3395838067990780D+08 (age_target - star_age)/age_sigma 283 95.6501500161 reducing max timestep prior to age target 283 6.2172597510484123D+08 (age_target - star_age)/age_sigma 284 93.8058796371 reducing max timestep prior to age target 284 6.0973821764127684D+08 (age_target - star_age)/age_sigma 285 91.9984946657 reducing max timestep prior to age target 285 5.9799021532698298D+08 (age_target - star_age)/age_sigma 286 90.2272573937 reducing max timestep prior to age target 286 5.8647717305897522D+08 (age_target - star_age)/age_sigma 287 88.4914448671 reducing max timestep prior to age target 287 5.7519439163632774D+08 (age_target - star_age)/age_sigma 289 85.0892523151 reducing max timestep prior to age target 289 5.5308014004793930D+08 290 7.188366 5711.910 -0.003640 -0.003640 1.000000 1.000000 0.386416 0.004874 0.242710 -1.534784 520 1 7.0349E+00 7.188366 0.007299 -43.012754 -1.629692 -99.000000 0.000000 0.594997 0.008115 0.016011 0.114016 5 4.0273E+09 2.152824 -0.003582 -99.000000 -99.000000 -6.911786 0.000000 0.000018 0.001888 0.018587 0.000E+00 max_dt rel_E_err 1.8525341756505504D-13 log_rel_run_E_err -10.3709420258561593 (age_target - star_age)/age_sigma 290 83.4221779646 reducing max timestep prior to age target 290 5.4224415676962852D+08 (age_target - star_age)/age_sigma 291 81.7884451011 reducing max timestep prior to age target 291 5.3162489315688419D+08 (age_target - star_age)/age_sigma 292 80.1873868948 reducing max timestep prior to age target 292 5.2121801481639528D+08 (age_target - star_age)/age_sigma 293 78.6183498527 reducing max timestep prior to age target 293 5.1101927404271555D+08 (age_target - star_age)/age_sigma 294 77.0806935515 reducing max timestep prior to age target 294 5.0102450808450937D+08 (age_target - star_age)/age_sigma 295 75.5737903762 reducing max timestep prior to age target 295 4.9122963744546747D+08 (age_target - star_age)/age_sigma 296 74.0970252645 reducing max timestep prior to age target 296 4.8163066421920633D+08 (age_target - star_age)/age_sigma 297 72.6497954550 reducing max timestep prior to age target 297 4.7222367045747042D+08 (age_target - star_age)/age_sigma 298 71.2315102417 reducing max timestep prior to age target 298 4.6300481657096910D+08 (age_target - star_age)/age_sigma 299 69.8415907326 reducing max timestep prior to age target 299 4.5397033976219797D+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 1.9066799553828329D-13 log_rel_run_E_err -10.3527635792606674 (age_target - star_age)/age_sigma 300 68.4794696138 reducing max timestep prior to age target 300 4.4511655248960209D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.1445909173 reducing max timestep prior to age target 301 4.3643984096245861D+08 (age_target - star_age)/age_sigma 302 65.8364097947 reducing max timestep prior to age target 302 4.2793666366585732D+08 (age_target - star_age)/age_sigma 303 64.5543922946 reducing max timestep prior to age target 303 4.1960354991518831D+08 (age_target - star_age)/age_sigma 304 63.2980151445 reducing max timestep prior to age target 304 4.1143709843953323D+08 (age_target - star_age)/age_sigma 305 62.0667655374 reducing max timestep prior to age target 305 4.0343397599339056D+08 (age_target - star_age)/age_sigma 306 60.8601409225 reducing max timestep prior to age target 306 3.9559091599617100D+08 (age_target - star_age)/age_sigma 307 59.6776487998 reducing max timestep prior to age target 307 3.8790471719889593D+08 (age_target - star_age)/age_sigma 308 58.5188065196 reducing max timestep prior to age target 308 3.8037224237756586D+08 (age_target - star_age)/age_sigma 309 57.3831410850 reducing max timestep prior to age target 309 3.7299041705266237D+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 -15.352530 -99.000000 -6.916491 0.000000 0.000019 0.001890 0.018598 0.000E+00 max_dt rel_E_err 1.9164937451141117D-13 log_rel_run_E_err -10.3347369402063727 (age_target - star_age)/age_sigma 310 56.2701889591 reducing max timestep prior to age target 310 3.6575622823425770D+08 (age_target - star_age)/age_sigma 311 55.1794958757 reducing max timestep prior to age target 311 3.5866672319222021D+08 (age_target - star_age)/age_sigma 312 54.1106166540 reducing max timestep prior to age target 312 3.5171900825102425D+08 (age_target - star_age)/age_sigma 313 53.0631150167 reducing max timestep prior to age target 313 3.4491024760865211D+08 (age_target - star_age)/age_sigma 314 52.0365634122 reducing max timestep prior to age target 314 3.3823766217912722D+08 (age_target - star_age)/age_sigma 315 51.0305428397 reducing max timestep prior to age target 315 3.3169852845819283D+08 (age_target - star_age)/age_sigma 316 50.0446426787 reducing max timestep prior to age target 316 3.2529017741167736D+08 (age_target - star_age)/age_sigma 317 49.0784605209 reducing max timestep prior to age target 317 3.1900999338609219D+08 (age_target - star_age)/age_sigma 318 48.1316020063 reducing max timestep prior to age target 318 3.1285541304101849D+08 (age_target - star_age)/age_sigma 319 47.2036806620 reducing max timestep prior to age target 319 3.0682392430284643D+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 1.8692931534653826D-13 log_rel_run_E_err -10.3176031343810344 (age_target - star_age)/age_sigma 320 46.2943177445 reducing max timestep prior to age target 320 3.0091306533943796D+08 (age_target - star_age)/age_sigma 321 45.4031420854 reducing max timestep prior to age target 321 2.9512042355529690D+08 (age_target - star_age)/age_sigma 322 44.5297899395 reducing max timestep prior to age target 322 2.8944363460683918D+08 (age_target - star_age)/age_sigma 324 42.8180197335 reducing max timestep prior to age target 324 2.7831712826786184D+08 (age_target - star_age)/age_sigma 325 41.9792523326 reducing max timestep prior to age target 325 2.7286514016176319D+08 (age_target - star_age)/age_sigma 326 41.1572602797 reducing max timestep prior to age target 326 2.6752219181778622D+08 (age_target - star_age)/age_sigma 327 40.3517080678 reducing max timestep prior to age target 327 2.6228610244068813D+08 (age_target - star_age)/age_sigma 328 39.5622669002 reducing max timestep prior to age target 328 2.5715473485113335D+08 (age_target - star_age)/age_sigma 329 38.7886145559 reducing max timestep prior to age target 329 2.5212599461336899D+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 1.9851956401503425D-13 log_rel_run_E_err -10.3010088664635209 (age_target - star_age)/age_sigma 330 38.0304352585 reducing max timestep prior to age target 330 2.4719782918036079D+08 (age_target - star_age)/age_sigma 331 37.2874195471 reducing max timestep prior to age target 331 2.4236822705601215D+08 (age_target - star_age)/age_sigma 332 36.5592641499 reducing max timestep prior to age target 332 2.3763521697414970D+08 (age_target - star_age)/age_sigma 333 35.8456718606 reducing max timestep prior to age target 333 2.3299686709392548D+08 (age_target - star_age)/age_sigma 334 35.1463514171 reducing max timestep prior to age target 334 2.2845128421130562D+08 (age_target - star_age)/age_sigma 335 34.4610173825 reducing max timestep prior to age target 335 2.2399661298633766D+08 (age_target - star_age)/age_sigma 336 33.7893900286 reducing max timestep prior to age target 336 2.1963103518586922D+08 (age_target - star_age)/age_sigma 337 33.1311952218 reducing max timestep prior to age target 337 2.1535276894141006D+08 (age_target - star_age)/age_sigma 338 32.4861643111 reducing max timestep prior to age target 338 2.1116006802184010D+08 (age_target - star_age)/age_sigma 339 31.8540340186 reducing max timestep prior to age target 339 2.0705122112066174D+08 340 7.194789 5717.524 0.008695 0.008695 1.000000 1.000000 0.356052 0.004987 0.240479 -1.518828 519 1 6.6049E+00 7.194789 0.012611 -42.600212 -1.608896 -99.000000 0.000000 0.625340 0.008009 0.015877 0.117951 5 4.3665E+09 2.178477 0.008747 -15.352530 -99.000000 -6.920845 0.000000 0.000019 0.001892 0.018608 0.000E+00 max_dt rel_E_err 1.8705043265461990D-13 log_rel_run_E_err -10.2851675131262006 (age_target - star_age)/age_sigma 340 31.2345463319 reducing max timestep prior to age target 340 2.0302455115750790D+08 (age_target - star_age)/age_sigma 341 30.6274483990 reducing max timestep prior to age target 341 1.9907841459361553D+08 (age_target - star_age)/age_sigma 342 30.0324924248 reducing max timestep prior to age target 342 1.9521120076100159D+08 (age_target - star_age)/age_sigma 343 29.4494355700 reducing max timestep prior to age target 343 1.9142133120503998D+08 (age_target - star_age)/age_sigma 344 28.8780398523 reducing max timestep prior to age target 344 1.8770725904019737D+08 (age_target - star_age)/age_sigma 345 28.3180720490 reducing max timestep prior to age target 345 1.8406746831865215D+08 (age_target - star_age)/age_sigma 346 27.7693036018 reducing max timestep prior to age target 346 1.8050047341153812D+08 (age_target - star_age)/age_sigma 347 27.2315105235 reducing max timestep prior to age target 347 1.7700481840256500D+08 (age_target - star_age)/age_sigma 348 26.7044733067 reducing max timestep prior to age target 348 1.7357907649377251D+08 (age_target - star_age)/age_sigma 349 26.1879768343 reducing max timestep prior to age target 349 1.7022184942315578D+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 1.8151698963588863D-13 log_rel_run_E_err -10.2700796730777384 (age_target - star_age)/age_sigma 350 25.6818102914 reducing max timestep prior to age target 350 1.6693176689395046D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.1857670793 reducing max timestep prior to age target 351 1.6370748601533031D+08 (age_target - star_age)/age_sigma 352 24.6996447314 reducing max timestep prior to age target 352 1.6054769075428200D+08 (age_target - star_age)/age_sigma 353 24.2232448305 reducing max timestep prior to age target 353 1.5745109139845467D+08 (age_target - star_age)/age_sigma 354 23.7563729277 reducing max timestep prior to age target 354 1.5441642402974510D+08 (age_target - star_age)/age_sigma 355 23.2988384628 reducing max timestep prior to age target 355 1.5144245000840855D+08 (age_target - star_age)/age_sigma 356 22.8504546873 reducing max timestep prior to age target 356 1.4852795546749878D+08 (age_target - star_age)/age_sigma 358 21.9716224873 reducing max timestep prior to age target 358 1.4281554616731548D+08 (age_target - star_age)/age_sigma 359 21.5409947093 reducing max timestep prior to age target 359 1.4001646561022568D+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 1.9206730096411297D-13 log_rel_run_E_err -10.2551851547161021 (age_target - star_age)/age_sigma 360 21.1189794868 reducing max timestep prior to age target 360 1.3727336666427803D+08 (age_target - star_age)/age_sigma 361 20.7054045688 reducing max timestep prior to age target 361 1.3458512969724941D+08 (age_target - star_age)/age_sigma 362 20.3001011492 reducing max timestep prior to age target 362 1.3195065746956062D+08 (age_target - star_age)/age_sigma 363 19.9029037979 reducing max timestep prior to age target 363 1.2936887468642616D+08 (age_target - star_age)/age_sigma 364 19.5136503937 reducing max timestep prior to age target 364 1.2683872755895424D+08 (age_target - star_age)/age_sigma 365 19.1321820575 reducing max timestep prior to age target 365 1.2435918337403107D+08 (age_target - star_age)/age_sigma 366 18.7583430881 reducing max timestep prior to age target 366 1.2192923007280731D+08 (age_target - star_age)/age_sigma 367 18.3919808981 reducing max timestep prior to age target 367 1.1954787583760834D+08 (age_target - star_age)/age_sigma 368 18.0329459519 reducing max timestep prior to age target 368 1.1721414868711185D+08 (age_target - star_age)/age_sigma 369 17.6810917046 reducing max timestep prior to age target 369 1.1492709607962704D+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 1.8337295896119605D-13 log_rel_run_E_err -10.2413825094762263 (age_target - star_age)/age_sigma 370 17.3362745422 reducing max timestep prior to age target 370 1.1268578452429104D+08 (age_target - star_age)/age_sigma 371 16.9983537231 reducing max timestep prior to age target 371 1.1048929920006180D+08 (age_target - star_age)/age_sigma 372 16.6671913204 reducing max timestep prior to age target 372 1.0833674358231735D+08 (age_target - star_age)/age_sigma 373 16.3426521657 reducing max timestep prior to age target 373 1.0622723907692719D+08 (age_target - star_age)/age_sigma 374 16.0246037941 reducing max timestep prior to age target 374 1.0415992466164589D+08 (age_target - star_age)/age_sigma 375 15.7129163899 reducing max timestep prior to age target 375 1.0213395653466892D+08 (age_target - star_age)/age_sigma 376 15.4074627339 reducing max timestep prior to age target 376 1.0014850777023220D+08 (age_target - star_age)/age_sigma 377 15.1081181509 reducing max timestep prior to age target 377 9.8202767981084824D+07 (age_target - star_age)/age_sigma 378 14.8147604596 reducing max timestep prior to age target 378 9.6295942987719536D+07 (age_target - star_age)/age_sigma 379 14.5272699222 reducing max timestep prior to age target 379 9.4427254494221687D+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 -15.653560 -99.000000 -6.923813 0.000000 0.000020 0.001893 0.018613 0.000E+00 max_dt rel_E_err 1.9858207279457900D-13 log_rel_run_E_err -10.2275764400249010 (age_target - star_age)/age_sigma 380 14.2455291955 reducing max timestep prior to age target 380 9.2595939770593643D+07 (age_target - star_age)/age_sigma 381 13.9694232833 reducing max timestep prior to age target 381 9.0801251341439247D+07 (age_target - star_age)/age_sigma 382 13.6988394894 reducing max timestep prior to age target 382 8.9042456680867195D+07 (age_target - star_age)/age_sigma 383 13.4336673713 reducing max timestep prior to age target 383 8.7318837913506508D+07 (age_target - star_age)/age_sigma 384 13.1737986956 reducing max timestep prior to age target 384 8.5629691521492958D+07 (age_target - star_age)/age_sigma 385 12.9191273934 reducing max timestep prior to age target 385 8.3974328057319641D+07 (age_target - star_age)/age_sigma 386 12.6695495173 reducing max timestep prior to age target 386 8.2352071862429619D+07 (age_target - star_age)/age_sigma 387 12.4249631987 reducing max timestep prior to age target 387 8.0762260791437149D+07 (age_target - star_age)/age_sigma 388 12.1852686064 reducing max timestep prior to age target 388 7.9204245941864967D+07 (age_target - star_age)/age_sigma 389 11.9503679060 reducing max timestep prior to age target 389 7.7677391389284134D+07 390 7.197275 5719.470 0.013374 0.013374 1.000000 1.000000 0.344548 0.005038 0.239665 -1.512636 519 1 6.1750E+00 7.197275 0.014654 -42.442279 -1.600738 -99.000000 0.000000 0.636838 0.007960 0.015828 0.119533 5 4.4933E+09 2.188386 0.013425 -99.000000 -99.000000 -6.924255 0.000000 0.000020 0.001893 0.018614 0.000E+00 max_dt rel_E_err 1.9010791160710772D-13 log_rel_run_E_err -10.2141318611456899 (age_target - star_age)/age_sigma 390 11.7201652197 reducing max timestep prior to age target 390 7.6181073927755356D+07 (age_target - star_age)/age_sigma 391 11.4945665870 reducing max timestep prior to age target 391 7.4714682815456390D+07 (age_target - star_age)/age_sigma 392 11.2734799270 reducing max timestep prior to age target 392 7.3277619525403976D+07 (age_target - star_age)/age_sigma 394 10.8401500734 reducing max timestep prior to age target 394 7.0460975476902008D+07 (age_target - star_age)/age_sigma 395 10.6278184451 reducing max timestep prior to age target 395 6.9080819893135071D+07 (age_target - star_age)/age_sigma 396 10.4197334494 reducing max timestep prior to age target 396 6.7728267421044350D+07 (age_target - star_age)/age_sigma 397 10.2158101536 reducing max timestep prior to age target 397 6.6402765998394966D+07 (age_target - star_age)/age_sigma 398 10.0159653237 reducing max timestep prior to age target 398 6.5103774604198456D+07 (age_target - star_age)/age_sigma 399 9.8201173904 reducing max timestep prior to age target 399 6.3830763037886620D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.197544 5719.674 0.013878 0.013878 1.000000 1.000000 0.343310 0.005043 0.239578 -1.511964 519 1 6.0961E+00 7.197544 0.014875 -42.425221 -1.599850 -99.000000 0.000000 0.638076 0.007955 0.015823 0.119707 5 4.5069E+09 2.189460 0.013929 -99.000000 -99.000000 -6.924621 0.000000 0.000020 0.001894 0.018614 0.000E+00 max_dt rel_E_err 1.9474760290418403D-13 log_rel_run_E_err -10.2012125945172603 (age_target - star_age)/age_sigma 400 9.6281864158 reducing max timestep prior to age target 400 6.2583211702899933D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4400940607 reducing max timestep prior to age target 401 6.1360611394613266D+07 (age_target - star_age)/age_sigma 402 9.2557635527 reducing max timestep prior to age target 402 6.0162463092493057D+07 (age_target - star_age)/age_sigma 403 9.0751196548 reducing max timestep prior to age target 403 5.8988277756414413D+07 (age_target - star_age)/age_sigma 404 8.8980886349 reducing max timestep prior to age target 404 5.7837576127058029D+07 (age_target - star_age)/age_sigma 405 8.7245982354 reducing max timestep prior to age target 405 5.6709888530288696D+07 (age_target - star_age)/age_sigma 406 8.5545776439 reducing max timestep prior to age target 406 5.5604754685454369D+07 (age_target - star_age)/age_sigma 407 8.3879574642 reducing max timestep prior to age target 407 5.4521723517516136D+07 (age_target - star_age)/age_sigma 408 8.2246696881 reducing max timestep prior to age target 408 5.3460352972937584D+07 (age_target - star_age)/age_sigma 409 8.0646476676 reducing max timestep prior to age target 409 5.2420209839250565D+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 -15.051500 -99.000000 -6.924922 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt rel_E_err 1.9114281011790110D-13 log_rel_run_E_err -10.1885837190657966 (age_target - star_age)/age_sigma 410 7.9078260874 reducing max timestep prior to age target 410 5.1400869568237305D+07 (age_target - star_age)/age_sigma 411 7.7541409389 reducing max timestep prior to age target 411 5.0401916102643967D+07 (age_target - star_age)/age_sigma 412 7.6035294933 reducing max timestep prior to age target 412 4.9422941706362724D+07 (age_target - star_age)/age_sigma 413 7.4559302766 reducing max timestep prior to age target 413 4.8463546798007011D+07 (age_target - star_age)/age_sigma 414 7.3112830443 reducing max timestep prior to age target 414 4.7523339787818909D+07 (age_target - star_age)/age_sigma 415 7.1695287566 reducing max timestep prior to age target 415 4.6601936917834282D+07 (age_target - star_age)/age_sigma 416 7.0306095547 reducing max timestep prior to age target 416 4.5698962105249405D+07 (age_target - star_age)/age_sigma 417 6.8944687368 reducing max timestep prior to age target 417 4.4814046788915634D+07 (age_target - star_age)/age_sigma 418 6.7610507352 reducing max timestep prior to age target 418 4.3946829778908730D+07 (age_target - star_age)/age_sigma 419 6.6303010937 reducing max timestep prior to age target 419 4.3096957109102249D+07 420 7.197948 5719.975 0.014632 0.014632 1.000000 1.000000 0.341458 0.005052 0.239449 -1.510956 519 1 5.9206E+00 7.197948 0.015206 -42.399687 -1.598519 -99.000000 0.000000 0.639927 0.007946 0.015815 0.119968 3 4.5272E+09 2.191068 0.014682 -99.000000 -99.000000 -6.925168 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt rel_E_err 1.7675719914298502D-13 log_rel_run_E_err -10.1764272823340622 (age_target - star_age)/age_sigma 420 6.5021664450 reducing max timestep prior to age target 420 4.2264081892691612D+07 (age_target - star_age)/age_sigma 421 6.3765944893 reducing max timestep prior to age target 421 4.1447864180609703D+07 (age_target - star_age)/age_sigma 422 6.2535339727 reducing max timestep prior to age target 422 4.0647970822769165D+07 (age_target - star_age)/age_sigma 423 6.1329346665 reducing max timestep prior to age target 423 3.9864075332085609D+07 (age_target - star_age)/age_sigma 424 6.0147473463 reducing max timestep prior to age target 424 3.9095857751215935D+07 (age_target - star_age)/age_sigma 425 5.8989237726 reducing max timestep prior to age target 425 3.8343004521962166D+07 (age_target - star_age)/age_sigma 426 5.7854166704 reducing max timestep prior to age target 426 3.7605208357295036D+07 (age_target - star_age)/age_sigma 428 5.5629427499 reducing max timestep prior to age target 428 3.6159127874546051D+07 (age_target - star_age)/age_sigma 429 5.4539305289 reducing max timestep prior to age target 429 3.5450548437999725D+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 -99.000000 -99.000000 -6.925370 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.7611668525447749D-13 log_rel_run_E_err -10.1648517552219158 (age_target - star_age)/age_sigma 430 5.3470985523 reducing max timestep prior to age target 430 3.4756140590183258D+07 (age_target - star_age)/age_sigma 431 5.2424032153 reducing max timestep prior to age target 431 3.4075620899323463D+07 (age_target - star_age)/age_sigma 432 5.1398017850 reducing max timestep prior to age target 432 3.3408711602280617D+07 (age_target - star_age)/age_sigma 433 5.0392523833 reducing max timestep prior to age target 433 3.2755140491179466D+07 (age_target - star_age)/age_sigma 434 4.9404435130 remaining steps and years until age target 434 50 3.2112882834489822D+07 (age_target - star_age)/age_sigma 435 4.8416346427 remaining steps and years until age target 435 49 3.1470625177800179D+07 (age_target - star_age)/age_sigma 436 4.7428257725 remaining steps and years until age target 436 48 3.0828367521110535D+07 (age_target - star_age)/age_sigma 437 4.6440169022 remaining steps and years until age target 437 47 3.0186109864420891D+07 (age_target - star_age)/age_sigma 438 4.5452080320 remaining steps and years until age target 438 46 2.9543852207731247D+07 (age_target - star_age)/age_sigma 439 4.4463991617 remaining steps and years until age target 439 45 2.8901594551041603D+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 -99.000000 -99.000000 -6.925545 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.8520229563391578D-13 log_rel_run_E_err -10.1536905522802599 (age_target - star_age)/age_sigma 440 4.3475902914 reducing max timestep prior to age target 440 2.8259336894351006D+07 (age_target - star_age)/age_sigma 441 4.2487814212 remaining steps and years until age target 441 43 2.7617079237661362D+07 (age_target - star_age)/age_sigma 442 4.1499725509 remaining steps and years until age target 442 42 2.6974821580971718D+07 (age_target - star_age)/age_sigma 443 4.0511636807 remaining steps and years until age target 443 41 2.6332563924282074D+07 (age_target - star_age)/age_sigma 444 3.9523548104 remaining steps and years until age target 444 40 2.5690306267592430D+07 (age_target - star_age)/age_sigma 445 3.8535459401 remaining steps and years until age target 445 39 2.5048048610902786D+07 (age_target - star_age)/age_sigma 446 3.7547370699 remaining steps and years until age target 446 38 2.4405790954213142D+07 (age_target - star_age)/age_sigma 447 3.6559281996 remaining steps and years until age target 447 37 2.3763533297523499D+07 (age_target - star_age)/age_sigma 448 3.5571193294 remaining steps and years until age target 448 36 2.3121275640833855D+07 (age_target - star_age)/age_sigma 449 3.4583104591 remaining steps and years until age target 449 35 2.2479017984144211D+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 2.0295531307092701D-13 log_rel_run_E_err -10.1423033687415227 (age_target - star_age)/age_sigma 450 3.3595015888 reducing max timestep prior to age target 450 2.1836760327453613D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2606927186 remaining steps and years until age target 451 33 2.1194502670763969D+07 (age_target - star_age)/age_sigma 452 3.1618838483 remaining steps and years until age target 452 32 2.0552245014074326D+07 (age_target - star_age)/age_sigma 453 3.0630749781 remaining steps and years until age target 453 31 1.9909987357384682D+07 (age_target - star_age)/age_sigma 454 2.9642661078 remaining steps and years until age target 454 30 1.9267729700695038D+07 (age_target - star_age)/age_sigma 455 2.8654572375 remaining steps and years until age target 455 29 1.8625472044005394D+07 (age_target - star_age)/age_sigma 456 2.7666483673 remaining steps and years until age target 456 28 1.7983214387315750D+07 (age_target - star_age)/age_sigma 457 2.6678394970 remaining steps and years until age target 457 27 1.7340956730626106D+07 (age_target - star_age)/age_sigma 458 2.5690306268 remaining steps and years until age target 458 26 1.6698699073936462D+07 (age_target - star_age)/age_sigma 459 2.4702217565 remaining steps and years until age target 459 25 1.6056441417246819D+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 -15.653560 -99.000000 -6.925891 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.7694634929863271D-13 log_rel_run_E_err -10.1313829312321442 (age_target - star_age)/age_sigma 460 2.3714128862 reducing max timestep prior to age target 460 1.5414183760556221D+07 (age_target - star_age)/age_sigma 461 2.2726040160 remaining steps and years until age target 461 23 1.4771926103866577D+07 (age_target - star_age)/age_sigma 462 2.1737951457 remaining steps and years until age target 462 22 1.4129668447176933D+07 (age_target - star_age)/age_sigma 463 2.0749862755 remaining steps and years until age target 463 21 1.3487410790487289D+07 (age_target - star_age)/age_sigma 464 1.9761774052 remaining steps and years until age target 464 20 1.2845153133797646D+07 (age_target - star_age)/age_sigma 465 1.8773685349 remaining steps and years until age target 465 19 1.2202895477108002D+07 (age_target - star_age)/age_sigma 466 1.7785596647 remaining steps and years until age target 466 18 1.1560637820418358D+07 (age_target - star_age)/age_sigma 467 1.6797507944 remaining steps and years until age target 467 17 1.0918380163728714D+07 (age_target - star_age)/age_sigma 468 1.5809419242 remaining steps and years until age target 468 16 1.0276122507039070D+07 (age_target - star_age)/age_sigma 469 1.4821330539 remaining steps and years until age target 469 15 9.6338648503494263D+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 1.8539700902584917D-13 log_rel_run_E_err -10.1208388869301693 (age_target - star_age)/age_sigma 470 1.3833241836 remaining steps and years until age target 470 14 8.9916071936597824D+06 (age_target - star_age)/age_sigma 471 1.2845153134 reducing max timestep prior to age target 471 8.3493495369691849D+06 (age_target - star_age)/age_sigma 472 1.1857064431 remaining steps and years until age target 472 12 7.7070918802795410D+06 (age_target - star_age)/age_sigma 473 1.0868975729 remaining steps and years until age target 473 11 7.0648342235898972D+06 (age_target - star_age)/age_sigma 474 0.9880887026 remaining steps and years until age target 474 10 6.4225765669002533D+06 (age_target - star_age)/age_sigma 475 0.8892798323 reducing max timestep prior to age target 475 5.7803189102096558D+06 (age_target - star_age)/age_sigma 476 0.7904709621 remaining steps and years until age target 476 8 5.1380612535200119D+06 (age_target - star_age)/age_sigma 477 0.6916620918 reducing max timestep prior to age target 477 4.4958035968294144D+06 (age_target - star_age)/age_sigma 478 0.5928532216 remaining steps and years until age target 478 6 3.8535459401397705D+06 (age_target - star_age)/age_sigma 479 0.4940443513 remaining steps and years until age target 479 5 3.2112882834501266D+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 -15.653560 -99.000000 -6.926238 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.7778132212654225D-13 log_rel_run_E_err -10.1104980016402664 (age_target - star_age)/age_sigma 480 0.3952354810 reducing max timestep prior to age target 480 2.5690306267595291D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2964266108 remaining steps and years until age target 481 3 1.9267729700698853D+06 (age_target - star_age)/age_sigma 482 0.1976177405 remaining steps and years until age target 482 2 1.2845153133802414D+06 (age_target - star_age)/age_sigma 483 0.0988088703 remaining steps and years until age target 483 1 6.4225765669059753D+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 2.90 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 -15.653560 -99.000000 -6.926307 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.9046261203862348D-13 log_rel_run_E_err -10.1063962356370745 Teff 5720.5979558238 radius 1.0372797593 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1389.7804563595 M_H -0.0339365458 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 1151.6891397679 log_R 0.0158959035 delta_nu 134.0243181616 nu_max 2873.5532959069 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 334180.4898653758 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 "7925f3a" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251017" "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 3.3333875998557796E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615173200E+03 1.0010042019474803E+00 3.9078811628069096E-03 4.3590053503667412E-04 1.4131272100398823E+02 3.1134409186002226E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557796E+05 0 0 0 0 0 0 0 4 3.3337679267851432E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721607E+03 1.0114129281998743E+00 3.5086385894186152E-04 4.9285006214041822E-03 1.3913658568074439E+02 3.0234851123040030E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851432E+05 0 0 0 0 0 0 0 1 3.3351283960191271E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383765982E+03 1.0231407131234167E+00 -1.7395981943719165E-03 9.9353665865764985E-03 1.3680762272704359E+02 2.9640776267829979E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191271E+05 0 0 0 0 0 0 0 3 3.3365606602482294E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367950E+03 1.0099970103007245E+00 2.9466215561488481E-02 4.3200882263855428E-03 1.3947582155333640E+02 3.0536692076806949E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482294E+05 0 0 0 0 0 0 0 6 3.3418048986537580E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558237805E+03 1.0372797593388086E+00 -3.3936545784270106E-02 1.5895903497375928E-02 1.3402431816160777E+02 2.8735532959069392E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986537580E+05 0 0 0 0 0 0 0 2 3.3468070564325689E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271829E+03 1.0622782375814146E+00 -1.2788199776495082E-02 2.6238284372326726E-02 1.2938435093834246E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325689E+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 -99.000000 -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 -28.597850 -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 4.1079075966530088D-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 2.0551261879831187D-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 -21.373130 -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 4.6175039866541649D-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 -20.293948 -99.000000 -6.892820 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6825461690115786D-13 log_rel_run_E_err -11.5747843851482788 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 -20.771070 -99.000000 -6.898925 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7001174314414859D-13 log_rel_run_E_err -11.2778667089505937 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 -20.470040 -99.000000 -6.899678 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6395941876321877D-13 log_rel_run_E_err -11.1043069409322310 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 2.5341665841139142D-13 log_rel_run_E_err -10.9800317355523074 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 2.5048809929551863D-13 log_rel_run_E_err -10.8833647563373468 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 -99.000000 -99.000000 -6.898552 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4970705997883404D-13 log_rel_run_E_err -10.8035791080333450 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 -20.470040 -99.000000 -6.898550 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6825386846882428D-13 log_rel_run_E_err -10.7366040528015603 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 -20.293948 -99.000000 -6.898540 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6551672259391102D-13 log_rel_run_E_err -10.6783457100832955 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 -20.293948 -99.000000 -6.898480 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4460486976802918D-13 log_rel_run_E_err -10.6279190516739632 __________________________________________________________________________________________________________________________________________________ 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 -99.000000 -99.000000 -6.898105 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5168821907226585D-13 log_rel_run_E_err -10.5818934099330431 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 2.5316468856216022D-13 log_rel_run_E_err -10.5414922844912287 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 -20.293948 -99.000000 -6.881990 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5570891428508091D-13 log_rel_run_E_err -10.4522460865598603 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 -19.992918 -99.000000 -6.812456 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5329058766329225D-13 log_rel_run_E_err -10.2138337818946052 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 2.4710833374335268D-13 log_rel_run_E_err -10.3157836828520004 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 1.9489691885896350D-13 log_rel_run_E_err -10.4258681597889424 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 -16.857680 -99.000000 -6.831622 0.000000 0.003224 0.001952 0.018728 0.000E+00 lgRho_cntr rel_E_err 1.6587637213755777D-13 log_rel_run_E_err -10.5633879661330123 (age_target - star_age)/age_sigma 169 694.5561817881 reducing max timestep prior to age target 169 4.5146151816228952D+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 1.8164392422649269D-13 log_rel_run_E_err -10.6087886658389383 (age_target - star_age)/age_sigma 176 680.3396089154 reducing max timestep prior to age target 176 4.4222074579503984D+09 (age_target - star_age)/age_sigma 179 665.9833853409 reducing max timestep prior to age target 179 4.3288920047157364D+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 1.8218188343106264D-13 log_rel_run_E_err -10.5792343788592991 (age_target - star_age)/age_sigma 181 650.9898085439 reducing max timestep prior to age target 181 4.2314337555352716D+09 (age_target - star_age)/age_sigma 183 629.3990579562 reducing max timestep prior to age target 183 4.0910938767154026D+09 (age_target - star_age)/age_sigma 184 617.0801140985 reducing max timestep prior to age target 184 4.0110207416404228D+09 (age_target - star_age)/age_sigma 185 605.0075491180 reducing max timestep prior to age target 185 3.9325490692669430D+09 (age_target - star_age)/age_sigma 186 593.1764354371 reducing max timestep prior to age target 186 3.8556468303409324D+09 (age_target - star_age)/age_sigma 187 581.5819440298 reducing max timestep prior to age target 187 3.7802826361934423D+09 (age_target - star_age)/age_sigma 188 570.2193424506 reducing max timestep prior to age target 188 3.7064257259289017D+09 (age_target - star_age)/age_sigma 189 559.0839929030 reducing max timestep prior to age target 189 3.6340459538696523D+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 1.9025602864863685D-13 log_rel_run_E_err -10.5507676533587116 (age_target - star_age)/age_sigma 190 548.1713503464 reducing max timestep prior to age target 190 3.5631137772515879D+09 (age_target - star_age)/age_sigma 191 537.4769606409 reducing max timestep prior to age target 191 3.4936002441658845D+09 (age_target - star_age)/age_sigma 192 526.9964587295 reducing max timestep prior to age target 192 3.4254769817418957D+09 (age_target - star_age)/age_sigma 193 516.7255668564 reducing max timestep prior to age target 193 3.3587161845663862D+09 (age_target - star_age)/age_sigma 194 506.6600928207 reducing max timestep prior to age target 194 3.2932906033343868D+09 (age_target - star_age)/age_sigma 195 496.7959282657 reducing max timestep prior to age target 195 3.2291735337270279D+09 (age_target - star_age)/age_sigma 196 487.1290470018 reducing max timestep prior to age target 196 3.1663388055118155D+09 (age_target - star_age)/age_sigma 197 477.6555033632 reducing max timestep prior to age target 197 3.1047607718609076D+09 (age_target - star_age)/age_sigma 198 468.3714305974 reducing max timestep prior to age target 198 3.0444142988830185D+09 (age_target - star_age)/age_sigma 199 459.2730392869 reducing max timestep prior to age target 199 2.9852747553646860D+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 1.8961362994403654D-13 log_rel_run_E_err -10.5229363472005133 (age_target - star_age)/age_sigma 200 450.3566158026 reducing max timestep prior to age target 200 2.9273180027167211D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.6185207880 reducing max timestep prior to age target 201 2.8705203851217155D+09 (age_target - star_age)/age_sigma 202 433.0551876736 reducing max timestep prior to age target 202 2.8148587198786097D+09 (age_target - star_age)/age_sigma 203 424.6631212216 reducing max timestep prior to age target 203 2.7603102879403658D+09 (age_target - star_age)/age_sigma 204 416.4388960986 reducing max timestep prior to age target 204 2.7068528246408873D+09 (age_target - star_age)/age_sigma 205 408.3791554781 reducing max timestep prior to age target 205 2.6544645106073980D+09 (age_target - star_age)/age_sigma 206 400.4806096699 reducing max timestep prior to age target 206 2.6031239628545780D+09 (age_target - star_age)/age_sigma 207 392.7400347780 reducing max timestep prior to age target 207 2.5528102260568151D+09 (age_target - star_age)/age_sigma 208 385.1542713838 reducing max timestep prior to age target 208 2.5035027639950075D+09 (age_target - star_age)/age_sigma 209 377.7202232576 reducing max timestep prior to age target 209 2.4551814511744356D+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 1.8453902732147280D-13 log_rel_run_E_err -10.4973943994956453 (age_target - star_age)/age_sigma 210 370.4348560939 reducing max timestep prior to age target 210 2.4078265646102757D+09 (age_target - star_age)/age_sigma 211 363.2951962734 reducing max timestep prior to age target 211 2.3614187757773986D+09 (age_target - star_age)/age_sigma 212 356.2983296494 reducing max timestep prior to age target 212 2.3159391427211790D+09 (age_target - star_age)/age_sigma 213 349.4414003579 reducing max timestep prior to age target 213 2.2713691023260841D+09 (age_target - star_age)/age_sigma 215 336.0018189464 reducing max timestep prior to age target 215 2.1840118231516981D+09 (age_target - star_age)/age_sigma 216 329.4164240548 reducing max timestep prior to age target 216 2.1412067563562493D+09 (age_target - star_age)/age_sigma 217 322.9627370610 reducing max timestep prior to age target 217 2.0992577908967090D+09 (age_target - star_age)/age_sigma 218 316.6381238071 reducing max timestep prior to age target 218 2.0581478047463593D+09 (age_target - star_age)/age_sigma 219 310.4400028183 reducing max timestep prior to age target 219 2.0178600183190169D+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 1.9873747345688896D-13 log_rel_run_E_err -10.4731512493180379 (age_target - star_age)/age_sigma 220 304.3658442493 reducing max timestep prior to age target 220 1.9783779876202211D+09 (age_target - star_age)/age_sigma 221 298.4131688516 reducing max timestep prior to age target 221 1.9396855975354013D+09 (age_target - star_age)/age_sigma 222 292.5795469619 reducing max timestep prior to age target 222 1.9017670552522783D+09 (age_target - star_age)/age_sigma 223 286.8625975100 reducing max timestep prior to age target 223 1.8646068838148174D+09 (age_target - star_age)/age_sigma 224 281.2599870471 reducing max timestep prior to age target 224 1.8281899158061061D+09 (age_target - star_age)/age_sigma 225 275.7694287935 reducing max timestep prior to age target 225 1.7925012871575685D+09 (age_target - star_age)/age_sigma 226 270.3886817049 reducing max timestep prior to age target 226 1.7575264310820017D+09 (age_target - star_age)/age_sigma 227 265.1155495581 reducing max timestep prior to age target 227 1.7232510721279464D+09 (age_target - star_age)/age_sigma 228 259.9478800543 reducing max timestep prior to age target 228 1.6896612203529725D+09 (age_target - star_age)/age_sigma 229 254.8835639405 reducing max timestep prior to age target 229 1.6567431656134977D+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 1.8158219758653267D-13 log_rel_run_E_err -10.4506622184414546 (age_target - star_age)/age_sigma 230 249.9205341490 reducing max timestep prior to age target 230 1.6244834719688125D+09 (age_target - star_age)/age_sigma 231 245.0567649534 reducing max timestep prior to age target 231 1.5928689721970210D+09 (age_target - star_age)/age_sigma 232 240.2902711416 reducing max timestep prior to age target 232 1.5618867624206653D+09 (age_target - star_age)/age_sigma 233 235.6191072061 reducing max timestep prior to age target 233 1.5315241968398366D+09 (age_target - star_age)/age_sigma 234 231.0413665493 reducing max timestep prior to age target 234 1.5017688825706248D+09 (age_target - star_age)/age_sigma 235 226.5551807057 reducing max timestep prior to age target 235 1.4726086745867968D+09 (age_target - star_age)/age_sigma 236 222.1587185789 reducing max timestep prior to age target 236 1.4440316707626457D+09 (age_target - star_age)/age_sigma 237 217.8501856946 reducing max timestep prior to age target 237 1.4160262070149775D+09 (age_target - star_age)/age_sigma 238 213.6278234680 reducing max timestep prior to age target 238 1.3885808525422626D+09 (age_target - star_age)/age_sigma 239 209.4899084860 reducing max timestep prior to age target 239 1.3616844051590023D+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 -99.000000 -99.000000 -6.869407 0.000000 0.000017 0.001996 0.019679 0.000E+00 max_dt rel_E_err 1.8858375497957411D-13 log_rel_run_E_err -10.4289192399843333 (age_target - star_age)/age_sigma 240 205.4347518036 reducing max timestep prior to age target 240 1.3353258867234073D+09 (age_target - star_age)/age_sigma 241 201.4606982548 reducing max timestep prior to age target 241 1.3094945386565232D+09 (age_target - star_age)/age_sigma 242 197.5661257771 reducing max timestep prior to age target 242 1.2841798175509777D+09 (age_target - star_age)/age_sigma 243 193.7494447489 reducing max timestep prior to age target 243 1.2593713908675427D+09 (age_target - star_age)/age_sigma 244 190.0090973412 reducing max timestep prior to age target 244 1.2350591327177768D+09 (age_target - star_age)/age_sigma 245 186.3435568817 reducing max timestep prior to age target 245 1.2112331197310061D+09 (age_target - star_age)/age_sigma 246 182.7513272314 reducing max timestep prior to age target 246 1.1878836270039711D+09 (age_target - star_age)/age_sigma 247 179.2309421741 reducing max timestep prior to age target 247 1.1650011241314759D+09 (age_target - star_age)/age_sigma 248 175.7809648179 reducing max timestep prior to age target 248 1.1425762713164310D+09 (age_target - star_age)/age_sigma 249 172.3999870089 reducing max timestep prior to age target 249 1.1205999155576868D+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 1.8790938942473385D-13 log_rel_run_E_err -10.4081923845204010 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 165.7732705032 reducing max timestep prior to age target 251 1.0775262582705493D+09 (age_target - star_age)/age_sigma 252 162.5261794154 reducing max timestep prior to age target 252 1.0564201661998520D+09 (age_target - star_age)/age_sigma 253 159.3440301493 reducing max timestep prior to age target 253 1.0357361959705682D+09 (age_target - star_age)/age_sigma 254 156.2255238686 reducing max timestep prior to age target 254 1.0154659051458702D+09 (age_target - star_age)/age_sigma 255 153.1693877135 reducing max timestep prior to age target 255 9.9560102013766623D+08 (age_target - star_age)/age_sigma 256 150.1743742815 reducing max timestep prior to age target 256 9.7613343282962608D+08 (age_target - star_age)/age_sigma 257 147.2392611181 reducing max timestep prior to age target 257 9.5705519726774693D+08 (age_target - star_age)/age_sigma 258 144.3628502180 reducing max timestep prior to age target 258 9.3835852641710567D+08 (age_target - star_age)/age_sigma 259 141.5439675359 reducing max timestep prior to age target 259 9.2003578898347664D+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 1.9006276290816951D-13 log_rel_run_E_err -10.3882501271610987 (age_target - star_age)/age_sigma 260 138.7814625075 reducing max timestep prior to age target 260 9.0207950629852057D+08 (age_target - star_age)/age_sigma 261 136.0742075796 reducing max timestep prior to age target 261 8.8448234926726341D+08 (age_target - star_age)/age_sigma 262 133.4210977503 reducing max timestep prior to age target 262 8.6723713537663126D+08 (age_target - star_age)/age_sigma 263 130.8210501175 reducing max timestep prior to age target 263 8.5033682576381207D+08 (age_target - star_age)/age_sigma 264 128.2730034374 reducing max timestep prior to age target 264 8.3377452234324932D+08 (age_target - star_age)/age_sigma 265 125.7759176909 reducing max timestep prior to age target 265 8.1754346499109793D+08 (age_target - star_age)/age_sigma 266 123.3287736594 reducing max timestep prior to age target 266 8.0163702878598928D+08 (age_target - star_age)/age_sigma 267 120.9305725085 reducing max timestep prior to age target 267 7.8604872130498266D+08 (age_target - star_age)/age_sigma 268 118.5803353806 reducing max timestep prior to age target 268 7.7077217997359657D+08 (age_target - star_age)/age_sigma 269 116.2771029952 reducing max timestep prior to age target 269 7.5580116946883774D+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 -15.954590 -99.000000 -6.882528 0.000000 0.000018 0.002003 0.019739 0.000E+00 max_dt rel_E_err 1.8733268197812834D-13 log_rel_run_E_err -10.3693423508419222 (age_target - star_age)/age_sigma 270 114.0199352576 reducing max timestep prior to age target 270 7.4112957917417431D+08 (age_target - star_age)/age_sigma 271 111.8079108747 reducing max timestep prior to age target 271 7.2675142068540430D+08 (age_target - star_age)/age_sigma 272 109.6401269794 reducing max timestep prior to age target 272 7.1266082536640978D+08 (age_target - star_age)/age_sigma 273 107.5156987621 reducing max timestep prior to age target 273 6.9885204195379448D+08 (age_target - star_age)/age_sigma 274 105.4337591091 reducing max timestep prior to age target 274 6.8531943420943260D+08 (age_target - star_age)/age_sigma 275 103.3934582492 reducing max timestep prior to age target 275 6.7205747861995697D+08 (age_target - star_age)/age_sigma 276 101.3939634065 reducing max timestep prior to age target 276 6.5906076214227104D+08 (age_target - star_age)/age_sigma 277 99.4344584606 reducing max timestep prior to age target 277 6.4632397999413919D+08 (age_target - star_age)/age_sigma 278 97.5141436137 reducing max timestep prior to age target 278 6.3384193348896933D+08 (age_target - star_age)/age_sigma 279 95.6322350637 reducing max timestep prior to age target 279 6.2160952791390371D+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 5 3.9599E+09 2.130852 -0.031459 -99.000000 -99.000000 -6.885506 0.000000 0.000019 0.002005 0.019751 0.000E+00 max_dt rel_E_err 1.8805683426368052D-13 log_rel_run_E_err -10.3511098841501372 (age_target - star_age)/age_sigma 280 93.7879646847 reducing max timestep prior to age target 280 6.0962177045033884D+08 (age_target - star_age)/age_sigma 281 91.9805797132 reducing max timestep prior to age target 281 5.9787376813604546D+08 (age_target - star_age)/age_sigma 282 90.2093424412 reducing max timestep prior to age target 282 5.8636072586803770D+08 (age_target - star_age)/age_sigma 283 88.4735299147 reducing max timestep prior to age target 283 5.7507794444539022D+08 (age_target - star_age)/age_sigma 285 85.0713373626 reducing max timestep prior to age target 285 5.5296369285700178D+08 (age_target - star_age)/age_sigma 286 83.4042630121 reducing max timestep prior to age target 286 5.4212770957869101D+08 (age_target - star_age)/age_sigma 287 81.7705301486 reducing max timestep prior to age target 287 5.3150844596594667D+08 (age_target - star_age)/age_sigma 288 80.1694719424 reducing max timestep prior to age target 288 5.2110156762545729D+08 (age_target - star_age)/age_sigma 289 78.6004349003 reducing max timestep prior to age target 289 5.1090282685177803D+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 7 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 1.8090182833932893D-13 log_rel_run_E_err -10.3336621210503043 (age_target - star_age)/age_sigma 290 77.0627785990 reducing max timestep prior to age target 290 5.0090806089357185D+08 (age_target - star_age)/age_sigma 291 75.5558754238 reducing max timestep prior to age target 291 4.9111319025452995D+08 (age_target - star_age)/age_sigma 292 74.0791103120 reducing max timestep prior to age target 292 4.8151421702826881D+08 (age_target - star_age)/age_sigma 293 72.6318805025 reducing max timestep prior to age target 293 4.7210722326653290D+08 (age_target - star_age)/age_sigma 294 71.2135952892 reducing max timestep prior to age target 294 4.6288836938003159D+08 (age_target - star_age)/age_sigma 295 69.8236757802 reducing max timestep prior to age target 295 4.5385389257125998D+08 (age_target - star_age)/age_sigma 296 68.4615546613 reducing max timestep prior to age target 296 4.4500010529866457D+08 (age_target - star_age)/age_sigma 297 67.1266759648 reducing max timestep prior to age target 297 4.3632339377152061D+08 (age_target - star_age)/age_sigma 298 65.8184948423 reducing max timestep prior to age target 298 4.2782021647491980D+08 (age_target - star_age)/age_sigma 299 64.5364773422 reducing max timestep prior to age target 299 4.1948710272425079D+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 -99.000000 -99.000000 -6.889989 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.8081901840890795D-13 log_rel_run_E_err -10.3168783423474331 (age_target - star_age)/age_sigma 300 63.2801001921 reducing max timestep prior to age target 300 4.1132065124859524D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0488505850 reducing max timestep prior to age target 301 4.0331752880245304D+08 (age_target - star_age)/age_sigma 302 60.8422259700 reducing max timestep prior to age target 302 3.9547446880523348D+08 (age_target - star_age)/age_sigma 303 59.6597338474 reducing max timestep prior to age target 303 3.8778827000795794D+08 (age_target - star_age)/age_sigma 304 58.5008915672 reducing max timestep prior to age target 304 3.8025579518662834D+08 (age_target - star_age)/age_sigma 305 57.3652261326 reducing max timestep prior to age target 305 3.7287396986172485D+08 (age_target - star_age)/age_sigma 306 56.2522740067 reducing max timestep prior to age target 306 3.6563978104331970D+08 (age_target - star_age)/age_sigma 307 55.1615809233 reducing max timestep prior to age target 307 3.5855027600128269D+08 (age_target - star_age)/age_sigma 308 54.0927017016 reducing max timestep prior to age target 308 3.5160256106008673D+08 (age_target - star_age)/age_sigma 309 53.0452000643 reducing max timestep prior to age target 309 3.4479380041771460D+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 -15.954590 -99.000000 -6.891679 0.000000 0.000019 0.002008 0.019773 0.000E+00 max_dt rel_E_err 1.8011134475253823D-13 log_rel_run_E_err -10.3004284804812531 (age_target - star_age)/age_sigma 310 52.0186484597 reducing max timestep prior to age target 310 3.3812121498818970D+08 (age_target - star_age)/age_sigma 311 51.0126278873 reducing max timestep prior to age target 311 3.3158208126725531D+08 (age_target - star_age)/age_sigma 312 50.0267277263 reducing max timestep prior to age target 312 3.2517373022073984D+08 (age_target - star_age)/age_sigma 313 49.0605455685 reducing max timestep prior to age target 313 3.1889354619515467D+08 (age_target - star_age)/age_sigma 314 48.1136870539 reducing max timestep prior to age target 314 3.1273896585008097D+08 (age_target - star_age)/age_sigma 315 47.1857657095 reducing max timestep prior to age target 315 3.0670747711190844D+08 (age_target - star_age)/age_sigma 316 46.2764027921 reducing max timestep prior to age target 316 3.0079661814849997D+08 (age_target - star_age)/age_sigma 317 45.3852271330 reducing max timestep prior to age target 317 2.9500397636435938D+08 (age_target - star_age)/age_sigma 318 44.5118749871 reducing max timestep prior to age target 318 2.8932718741590118D+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 -99.000000 -99.000000 -6.893067 0.000000 0.000019 0.002009 0.019778 0.000E+00 max_dt rel_E_err 1.8261694921193612D-13 log_rel_run_E_err -10.2843423185878891 (age_target - star_age)/age_sigma 320 42.8001047811 reducing max timestep prior to age target 320 2.7820068107692385D+08 (age_target - star_age)/age_sigma 321 41.9613373801 reducing max timestep prior to age target 321 2.7274869297082520D+08 (age_target - star_age)/age_sigma 322 41.1393453272 reducing max timestep prior to age target 322 2.6740574462684822D+08 (age_target - star_age)/age_sigma 323 40.3337931153 reducing max timestep prior to age target 323 2.6216965524975109D+08 (age_target - star_age)/age_sigma 324 39.5443519477 reducing max timestep prior to age target 324 2.5703828766019535D+08 (age_target - star_age)/age_sigma 325 38.7706996035 reducing max timestep prior to age target 325 2.5200954742243195D+08 (age_target - star_age)/age_sigma 326 38.0125203061 reducing max timestep prior to age target 326 2.4708138198942280D+08 (age_target - star_age)/age_sigma 327 37.2695045946 reducing max timestep prior to age target 327 2.4225177986507416D+08 (age_target - star_age)/age_sigma 328 36.5413491974 reducing max timestep prior to age target 328 2.3751876978321266D+08 (age_target - star_age)/age_sigma 329 35.8277569082 reducing max timestep prior to age target 329 2.3288041990298748D+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 -99.000000 -99.000000 -6.894226 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.8086516482262203D-13 log_rel_run_E_err -10.2691852155768046 (age_target - star_age)/age_sigma 330 35.1284364647 reducing max timestep prior to age target 330 2.2833483702036762D+08 (age_target - star_age)/age_sigma 331 34.4431024301 reducing max timestep prior to age target 331 2.2388016579539967D+08 (age_target - star_age)/age_sigma 332 33.7714750761 reducing max timestep prior to age target 332 2.1951458799493122D+08 (age_target - star_age)/age_sigma 333 33.1132802693 reducing max timestep prior to age target 333 2.1523632175047207D+08 (age_target - star_age)/age_sigma 334 32.4682493586 reducing max timestep prior to age target 334 2.1104362083090305D+08 (age_target - star_age)/age_sigma 335 31.8361190661 reducing max timestep prior to age target 335 2.0693477392972469D+08 (age_target - star_age)/age_sigma 336 31.2166313795 reducing max timestep prior to age target 336 2.0290810396656990D+08 (age_target - star_age)/age_sigma 337 30.6095334466 reducing max timestep prior to age target 337 1.9896196740267849D+08 (age_target - star_age)/age_sigma 338 30.0145774723 reducing max timestep prior to age target 338 1.9509475357006454D+08 (age_target - star_age)/age_sigma 339 29.4315206176 reducing max timestep prior to age target 339 1.9130488401410294D+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 -99.000000 -99.000000 -6.895175 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt rel_E_err 1.9042449974608656D-13 log_rel_run_E_err -10.2545892257456099 (age_target - star_age)/age_sigma 340 28.8601248999 reducing max timestep prior to age target 340 1.8759081184926033D+08 (age_target - star_age)/age_sigma 341 28.3001570966 reducing max timestep prior to age target 341 1.8395102112771511D+08 (age_target - star_age)/age_sigma 342 27.7513886493 reducing max timestep prior to age target 342 1.8038402622060013D+08 (age_target - star_age)/age_sigma 343 27.2135955710 reducing max timestep prior to age target 343 1.7688837121162796D+08 (age_target - star_age)/age_sigma 344 26.6865583543 reducing max timestep prior to age target 344 1.7346262930283451D+08 (age_target - star_age)/age_sigma 345 26.1700618819 reducing max timestep prior to age target 345 1.7010540223221779D+08 (age_target - star_age)/age_sigma 346 25.6638953389 reducing max timestep prior to age target 346 1.6681531970301342D+08 (age_target - star_age)/age_sigma 347 25.1678521268 reducing max timestep prior to age target 347 1.6359103882439232D+08 (age_target - star_age)/age_sigma 348 24.6817297790 reducing max timestep prior to age target 348 1.6043124356334496D+08 (age_target - star_age)/age_sigma 349 24.2053298781 reducing max timestep prior to age target 349 1.5733464420751762D+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 -15.352530 -99.000000 -6.895951 0.000000 0.000020 0.002010 0.019787 0.000E+00 max_dt rel_E_err 1.7610847203641194D-13 log_rel_run_E_err -10.2404956168254220 (age_target - star_age)/age_sigma 350 23.7384579752 reducing max timestep prior to age target 350 1.5429997683880711D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2809235104 reducing max timestep prior to age target 351 1.5132600281747055D+08 (age_target - star_age)/age_sigma 352 22.8325397349 reducing max timestep prior to age target 352 1.4841150827656078D+08 (age_target - star_age)/age_sigma 353 22.3931236348 reducing max timestep prior to age target 353 1.4555530362646961D+08 (age_target - star_age)/age_sigma 355 21.5318680788 reducing max timestep prior to age target 355 1.3995714251229000D+08 (age_target - star_age)/age_sigma 356 21.1098528564 reducing max timestep prior to age target 356 1.3721404356634235D+08 (age_target - star_age)/age_sigma 357 20.6962779384 reducing max timestep prior to age target 357 1.3452580659931278D+08 (age_target - star_age)/age_sigma 358 20.2909745187 reducing max timestep prior to age target 358 1.3189133437162495D+08 (age_target - star_age)/age_sigma 359 19.8937771675 reducing max timestep prior to age target 359 1.2930955158848953D+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 -15.352530 -99.000000 -6.896595 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.7139485262659828D-13 log_rel_run_E_err -10.2268898304153826 (age_target - star_age)/age_sigma 360 19.5045237632 reducing max timestep prior to age target 360 1.2677940446101761D+08 (age_target - star_age)/age_sigma 361 19.1230554271 reducing max timestep prior to age target 361 1.2429986027609539D+08 (age_target - star_age)/age_sigma 362 18.7492164577 reducing max timestep prior to age target 362 1.2186990697487164D+08 (age_target - star_age)/age_sigma 363 18.3828542676 reducing max timestep prior to age target 363 1.1948855273967171D+08 (age_target - star_age)/age_sigma 364 18.0238193214 reducing max timestep prior to age target 364 1.1715482558917618D+08 (age_target - star_age)/age_sigma 365 17.6719650741 reducing max timestep prior to age target 365 1.1486777298169041D+08 (age_target - star_age)/age_sigma 366 17.3271479117 reducing max timestep prior to age target 366 1.1262646142635441D+08 (age_target - star_age)/age_sigma 367 16.9892270926 reducing max timestep prior to age target 367 1.1042997610212612D+08 (age_target - star_age)/age_sigma 368 16.6580646899 reducing max timestep prior to age target 368 1.0827742048438072D+08 (age_target - star_age)/age_sigma 369 16.3335255352 reducing max timestep prior to age target 369 1.0616791597899151D+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 2.0867790238585627D-13 log_rel_run_E_err -10.2133513257056698 (age_target - star_age)/age_sigma 370 16.0154771636 reducing max timestep prior to age target 370 1.0410060156371021D+08 (age_target - star_age)/age_sigma 371 15.7037897595 reducing max timestep prior to age target 371 1.0207463343673325D+08 (age_target - star_age)/age_sigma 372 15.3983361034 reducing max timestep prior to age target 372 1.0008918467229652D+08 (age_target - star_age)/age_sigma 373 15.0989915205 reducing max timestep prior to age target 373 9.8143444883148193D+07 (age_target - star_age)/age_sigma 374 14.8056338292 reducing max timestep prior to age target 374 9.6236619889782906D+07 (age_target - star_age)/age_sigma 375 14.5181432917 reducing max timestep prior to age target 375 9.4367931396286011D+07 (age_target - star_age)/age_sigma 376 14.2364025650 reducing max timestep prior to age target 376 9.2536616672657967D+07 (age_target - star_age)/age_sigma 377 13.9602966528 reducing max timestep prior to age target 377 9.0741928243502617D+07 (age_target - star_age)/age_sigma 378 13.6897128589 reducing max timestep prior to age target 378 8.8983133582930565D+07 (age_target - star_age)/age_sigma 379 13.4245407409 reducing max timestep prior to age target 379 8.7259514815569878D+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 1.9416592189855025D-13 log_rel_run_E_err -10.2004745834676367 (age_target - star_age)/age_sigma 380 13.1646720652 reducing max timestep prior to age target 380 8.5570368423556328D+07 (age_target - star_age)/age_sigma 381 12.9100007630 reducing max timestep prior to age target 381 8.3915004959383011D+07 (age_target - star_age)/age_sigma 382 12.6604228868 reducing max timestep prior to age target 382 8.2292748764493942D+07 (age_target - star_age)/age_sigma 383 12.4158365682 reducing max timestep prior to age target 383 8.0702937693501472D+07 (age_target - star_age)/age_sigma 384 12.1761419760 reducing max timestep prior to age target 384 7.9144922843929291D+07 (age_target - star_age)/age_sigma 385 11.9412412756 reducing max timestep prior to age target 385 7.7618068291348457D+07 (age_target - star_age)/age_sigma 386 11.7110385892 reducing max timestep prior to age target 386 7.6121750829819679D+07 (age_target - star_age)/age_sigma 387 11.4854399565 reducing max timestep prior to age target 387 7.4655359717520714D+07 (age_target - star_age)/age_sigma 388 11.2643532965 reducing max timestep prior to age target 388 7.3218296427468300D+07 (age_target - star_age)/age_sigma 389 11.0476883697 reducing max timestep prior to age target 389 7.1809974403217316D+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 -15.352530 -99.000000 -6.897918 0.000000 0.000020 0.002011 0.019793 0.000E+00 max_dt rel_E_err 1.7880708029153585D-13 log_rel_run_E_err -10.1881077665759108 (age_target - star_age)/age_sigma 391 10.6230251132 reducing max timestep prior to age target 391 6.9049663235683441D+07 (age_target - star_age)/age_sigma 392 10.4149401175 reducing max timestep prior to age target 392 6.7697110763592720D+07 (age_target - star_age)/age_sigma 393 10.2110168217 reducing max timestep prior to age target 393 6.6371609340943336D+07 (age_target - star_age)/age_sigma 394 10.0111719918 reducing max timestep prior to age target 394 6.5072617946746826D+07 (age_target - star_age)/age_sigma 395 9.8153240585 reducing max timestep prior to age target 395 6.3799606380434990D+07 (age_target - star_age)/age_sigma 396 9.6233930839 reducing max timestep prior to age target 396 6.2552055045449257D+07 (age_target - star_age)/age_sigma 397 9.4353007288 reducing max timestep prior to age target 397 6.1329454737162590D+07 (age_target - star_age)/age_sigma 398 9.2509702208 reducing max timestep prior to age target 398 6.0131306435041428D+07 (age_target - star_age)/age_sigma 399 9.0703263229 reducing max timestep prior to age target 399 5.8957121098962784D+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 5 4.5117E+09 2.170201 -0.012283 -99.000000 -99.000000 -6.898215 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7112434083502563D-13 log_rel_run_E_err -10.1761588806324390 (age_target - star_age)/age_sigma 400 8.8932953030 reducing max timestep prior to age target 400 5.7806419469606400D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7198049035 reducing max timestep prior to age target 401 5.6678731872837067D+07 (age_target - star_age)/age_sigma 402 8.5497843120 reducing max timestep prior to age target 402 5.5573598028002739D+07 (age_target - star_age)/age_sigma 403 8.3831641323 reducing max timestep prior to age target 403 5.4490566860064507D+07 (age_target - star_age)/age_sigma 404 8.2198763562 reducing max timestep prior to age target 404 5.3429196315485954D+07 (age_target - star_age)/age_sigma 405 8.0598543357 reducing max timestep prior to age target 405 5.2389053181798935D+07 (age_target - star_age)/age_sigma 406 7.9030327555 reducing max timestep prior to age target 406 5.1369712910785675D+07 (age_target - star_age)/age_sigma 407 7.7493476070 reducing max timestep prior to age target 407 5.0370759445192337D+07 (age_target - star_age)/age_sigma 408 7.5987361614 reducing max timestep prior to age target 408 4.9391785048911095D+07 (age_target - star_age)/age_sigma 409 7.4511369447 reducing max timestep prior to age target 409 4.8432390140555382D+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 1.9242539465561559D-13 log_rel_run_E_err -10.1641630067264206 (age_target - star_age)/age_sigma 410 7.3064897124 reducing max timestep prior to age target 410 4.7492183130367279D+07 (age_target - star_age)/age_sigma 411 7.1647354247 reducing max timestep prior to age target 411 4.6570780260382652D+07 (age_target - star_age)/age_sigma 412 7.0258162227 reducing max timestep prior to age target 412 4.5667805447797775D+07 (age_target - star_age)/age_sigma 413 6.8896754048 reducing max timestep prior to age target 413 4.4782890131464958D+07 (age_target - star_age)/age_sigma 414 6.7562574033 reducing max timestep prior to age target 414 4.3915673121458054D+07 (age_target - star_age)/age_sigma 415 6.6255077618 reducing max timestep prior to age target 415 4.3065800451650620D+07 (age_target - star_age)/age_sigma 416 6.4973731131 reducing max timestep prior to age target 416 4.2232925235240936D+07 (age_target - star_age)/age_sigma 417 6.3718011574 reducing max timestep prior to age target 417 4.1416707523159027D+07 (age_target - star_age)/age_sigma 418 6.2487406408 reducing max timestep prior to age target 418 4.0616814165318489D+07 (age_target - star_age)/age_sigma 419 6.1281413346 reducing max timestep prior to age target 419 3.9832918674633980D+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 1.8858202108673918D-13 log_rel_run_E_err -10.1525748445993287 (age_target - star_age)/age_sigma 420 6.0099540144 reducing max timestep prior to age target 420 3.9064701093764305D+07 (age_target - star_age)/age_sigma 421 5.8941304407 reducing max timestep prior to age target 421 3.8311847864511490D+07 (age_target - star_age)/age_sigma 422 5.7806233384 reducing max timestep prior to age target 422 3.7574051699843407D+07 (age_target - star_age)/age_sigma 423 5.6693863782 reducing max timestep prior to age target 423 3.6851011458469391D+07 (age_target - star_age)/age_sigma 425 5.4513619362 reducing max timestep prior to age target 425 3.5433852585375786D+07 (age_target - star_age)/age_sigma 426 5.3445299596 reducing max timestep prior to age target 426 3.4739444737559319D+07 (age_target - star_age)/age_sigma 427 5.2398346226 reducing max timestep prior to age target 427 3.4058925046700478D+07 (age_target - star_age)/age_sigma 428 5.1372331923 reducing max timestep prior to age target 428 3.3392015749657631D+07 (age_target - star_age)/age_sigma 429 5.0366837905 reducing max timestep prior to age target 429 3.2738444638556480D+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 -15.954590 -99.000000 -6.898822 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9454194188699641D-13 log_rel_run_E_err -10.1414471571861728 (age_target - star_age)/age_sigma 430 4.9379252849 reducing max timestep prior to age target 430 3.2096514351525307D+07 (age_target - star_age)/age_sigma 431 4.8391667792 remaining steps and years until age target 431 49 3.1454584064495087D+07 (age_target - star_age)/age_sigma 432 4.7404082735 reducing max timestep prior to age target 432 3.0812653777463913D+07 (age_target - star_age)/age_sigma 433 4.6416497678 remaining steps and years until age target 433 47 3.0170723490433693D+07 (age_target - star_age)/age_sigma 434 4.5428912621 reducing max timestep prior to age target 434 2.9528793203402519D+07 (age_target - star_age)/age_sigma 435 4.4441327564 remaining steps and years until age target 435 45 2.8886862916372299D+07 (age_target - star_age)/age_sigma 436 4.3453742507 reducing max timestep prior to age target 436 2.8244932629341125D+07 (age_target - star_age)/age_sigma 437 4.2466157450 remaining steps and years until age target 437 43 2.7603002342310905D+07 (age_target - star_age)/age_sigma 438 4.1478572393 reducing max timestep prior to age target 438 2.6961072055279732D+07 (age_target - star_age)/age_sigma 439 4.0490987336 remaining steps and years until age target 439 41 2.6319141768249512D+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 -15.954590 -99.000000 -6.898973 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9006140653958307D-13 log_rel_run_E_err -10.1304733040808781 (age_target - star_age)/age_sigma 440 3.9503402279 reducing max timestep prior to age target 440 2.5677211481218338D+07 (age_target - star_age)/age_sigma 441 3.8515817222 remaining steps and years until age target 441 39 2.5035281194188118D+07 (age_target - star_age)/age_sigma 442 3.7528232165 reducing max timestep prior to age target 442 2.4393350907156944D+07 (age_target - star_age)/age_sigma 443 3.6540647108 reducing max timestep prior to age target 443 2.3751420620125771D+07 (age_target - star_age)/age_sigma 444 3.5553062051 remaining steps and years until age target 444 36 2.3109490333096504D+07 (age_target - star_age)/age_sigma 445 3.4565476994 reducing max timestep prior to age target 445 2.2467560046065331D+07 (age_target - star_age)/age_sigma 446 3.3577891937 remaining steps and years until age target 446 34 2.1825629759035110D+07 (age_target - star_age)/age_sigma 447 3.2590306880 remaining steps and years until age target 447 33 2.1183699472004890D+07 (age_target - star_age)/age_sigma 448 3.1602721823 remaining steps and years until age target 448 32 2.0541769184974670D+07 (age_target - star_age)/age_sigma 449 3.0615136766 reducing max timestep prior to age target 449 1.9899838897943497D+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 1.7471474983123782D-13 log_rel_run_E_err -10.1199632287041013 (age_target - star_age)/age_sigma 450 2.9627551709 remaining steps and years until age target 450 30 1.9257908610913277D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8639966652 remaining steps and years until age target 451 29 1.8615978323883057D+07 (age_target - star_age)/age_sigma 452 2.7652381595 remaining steps and years until age target 452 28 1.7974048036852837D+07 (age_target - star_age)/age_sigma 453 2.6664796538 reducing max timestep prior to age target 453 1.7332117749821663D+07 (age_target - star_age)/age_sigma 454 2.5677211481 remaining steps and years until age target 454 26 1.6690187462791443D+07 (age_target - star_age)/age_sigma 455 2.4689626424 remaining steps and years until age target 455 25 1.6048257175761223D+07 (age_target - star_age)/age_sigma 456 2.3702041367 remaining steps and years until age target 456 24 1.5406326888731003D+07 (age_target - star_age)/age_sigma 457 2.2714456310 reducing max timestep prior to age target 457 1.4764396601699829D+07 (age_target - star_age)/age_sigma 458 2.1726871253 remaining steps and years until age target 458 22 1.4122466314669609D+07 (age_target - star_age)/age_sigma 459 2.0739286196 remaining steps and years until age target 459 21 1.3480536027639389D+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 -99.000000 -99.000000 -6.899275 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.9239337845226543D-13 log_rel_run_E_err -10.1095437063025155 (age_target - star_age)/age_sigma 460 1.9751701139 remaining steps and years until age target 460 20 1.2838605740609169D+07 (age_target - star_age)/age_sigma 461 1.8764116082 reducing max timestep prior to age target 461 1.2196675453577995D+07 (age_target - star_age)/age_sigma 462 1.7776531025 remaining steps and years until age target 462 18 1.1554745166547775D+07 (age_target - star_age)/age_sigma 463 1.6788945968 remaining steps and years until age target 463 17 1.0912814879517555D+07 (age_target - star_age)/age_sigma 464 1.5801360912 remaining steps and years until age target 464 16 1.0270884592487335D+07 (age_target - star_age)/age_sigma 465 1.4813775855 remaining steps and years until age target 465 15 9.6289543054571152D+06 (age_target - star_age)/age_sigma 466 1.3826190798 reducing max timestep prior to age target 466 8.9870240184259415D+06 (age_target - star_age)/age_sigma 467 1.2838605741 remaining steps and years until age target 467 13 8.3450937313957214D+06 (age_target - star_age)/age_sigma 468 1.1851020684 remaining steps and years until age target 468 12 7.7031634443655014D+06 (age_target - star_age)/age_sigma 469 1.0863435627 remaining steps and years until age target 469 11 7.0612331573352814D+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 -99.000000 -99.000000 -6.899426 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8599586335047521D-13 log_rel_run_E_err -10.0995329590120928 (age_target - star_age)/age_sigma 470 0.9875850570 reducing max timestep prior to age target 470 6.4193028703041077D+06 (age_target - star_age)/age_sigma 471 0.8888265513 remaining steps and years until age target 471 9 5.7773725832738876D+06 (age_target - star_age)/age_sigma 472 0.7900680456 remaining steps and years until age target 472 8 5.1354422962436676D+06 (age_target - star_age)/age_sigma 473 0.6913095399 remaining steps and years until age target 473 7 4.4935120092134476D+06 (age_target - star_age)/age_sigma 474 0.5925510342 reducing max timestep prior to age target 474 3.8515817221822739D+06 (age_target - star_age)/age_sigma 475 0.4937925285 remaining steps and years until age target 475 5 3.2096514351520538D+06 (age_target - star_age)/age_sigma 476 0.3950340228 remaining steps and years until age target 476 4 2.5677211481218338D+06 (age_target - star_age)/age_sigma 477 0.2962755171 remaining steps and years until age target 477 3 1.9257908610916138D+06 (age_target - star_age)/age_sigma 478 0.1975170114 remaining steps and years until age target 478 2 1.2838605740613937D+06 (age_target - star_age)/age_sigma 479 0.0987585057 remaining steps and years until age target 479 1 6.4193028703117371D+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 -99.000000 -99.000000 -6.899577 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9749470925210947D-13 log_rel_run_E_err -10.0893583127710009 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 2.53 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 -99.000000 -99.000000 -6.899577 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9749470925210947D-13 log_rel_run_E_err -10.0893583127710009 Teff 5609.1122770904 radius 1.0465194170 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 2164.0561576705 M_H -0.0068647778 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 47.1251749297 log_R 0.0197472906 delta_nu 132.3456575915 nu_max 2850.9534669593 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 334070.3937775334 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 "7925f3a" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251017" "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 3.3333875998557796E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615173200E+03 1.0010042019474803E+00 3.9078811628069096E-03 4.3590053503667412E-04 1.4131272100398823E+02 3.1134409186002226E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557796E+05 0 0 0 0 0 0 0 4 3.3337679267851432E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721607E+03 1.0114129281998743E+00 3.5086385894186152E-04 4.9285006214041822E-03 1.3913658568074439E+02 3.0234851123040030E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851432E+05 0 0 0 0 0 0 0 1 3.3351283960191271E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383765982E+03 1.0231407131234167E+00 -1.7395981943719165E-03 9.9353665865764985E-03 1.3680762272704359E+02 2.9640776267829979E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191271E+05 0 0 0 0 0 0 0 3 3.3365606602482294E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367950E+03 1.0099970103007245E+00 2.9466215561488481E-02 4.3200882263855428E-03 1.3947582155333640E+02 3.0536692076806949E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482294E+05 0 0 0 0 0 0 0 7 3.3407039377753343E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770903885E+03 1.0465194169962448E+00 -6.8647778499884137E-03 1.9747290597394423E-02 1.3234565759147509E+02 2.8509534669593068E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377753343E+05 0 0 0 0 0 0 0 6 3.3418048986537580E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558237805E+03 1.0372797593388086E+00 -3.3936545784270106E-02 1.5895903497375928E-02 1.3402431816160777E+02 2.8735532959069392E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986537580E+05 0 0 0 0 0 0 0 2 3.3468070564325689E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271829E+03 1.0622782375814146E+00 -1.2788199776495082E-02 2.6238284372326726E-02 1.2938435093834246E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325689E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.6392348767543500D-01 -3.0382561622825199D-01 next_param_to_try initial_FeH 3 6.8730947586035512D-02 1.4551579310059204D-01 next_param_to_try alpha 4 2.1110729980016920D+00 3.7024332667230758D-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 -99.000000 -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 3.9257591304681339D-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 1.9793106801733851D-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 7.8128501014226859D-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 7.8128500792182254D-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 7.8128501902405278D-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 7.8128500792182254D-08 finished relax to begin radiative core 66 1.2817240606623200D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1682140396450955D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6392348767543502D-05 initial_he4 2.6389709532666744D-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 -99.000000 -99.000000 -6.903044 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6515962160564935D-13 log_rel_run_E_err -11.5723070446092962 solver rejected trial model s% model_number 11 s% solver_call_number 128 nz 459 s% num_retries 0 dt 1.9336979181417798D+03 log dt/secyer -4.2127153374266646D+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 0.026638 -20.771070 -99.000000 -6.913825 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.5250639051552659D-13 log_rel_run_E_err -11.2722440284719134 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 -20.771070 -99.000000 -6.917384 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6739254454754462D-13 log_rel_run_E_err -11.0941506904540841 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 -99.000000 -99.000000 -6.918012 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.8618631312659164D-13 log_rel_run_E_err -10.9695533661924784 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 -20.169010 -99.000000 -6.918186 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.8209261414374193D-13 log_rel_run_E_err -10.8699455188704519 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 -99.000000 -99.000000 -6.918190 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.5641396173521354D-13 log_rel_run_E_err -10.7916027374957153 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 -20.293948 -99.000000 -6.918189 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.3482883129129769D-13 log_rel_run_E_err -10.7249987013697492 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 -99.000000 -99.000000 -6.918185 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6869330393612463D-13 log_rel_run_E_err -10.6679427454726454 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 -20.293948 -99.000000 -6.918161 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.8059250224505916D-13 log_rel_run_E_err -10.6158977917932376 __________________________________________________________________________________________________________________________________________________ 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 2.6992911583793387D-13 log_rel_run_E_err -10.5703334912215929 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 2.6158595705135115D-13 log_rel_run_E_err -10.5302827023934817 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 -20.293948 -99.000000 -6.911317 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err -2.0457895305145950D-14 log_rel_run_E_err -10.5028242565297294 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 2.5989346213465819D-13 log_rel_run_E_err -10.4554317596700113 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 2.6143981486233209D-13 log_rel_run_E_err -10.4038433244035389 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 -18.061800 -99.000000 -6.650535 0.000000 0.003319 0.002007 0.019255 0.000E+00 lgRho_cntr rel_E_err 2.3599201635396421D-13 log_rel_run_E_err -10.4165149731084625 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 -17.459740 -99.000000 -6.785531 0.000000 0.003319 0.002007 0.019256 0.000E+00 lgRho_cntr rel_E_err 1.8548067817751440D-13 log_rel_run_E_err -10.5384485526237910 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 1.9071779244132407D-13 log_rel_run_E_err -10.6445303737897561 (age_target - star_age)/age_sigma 173 694.6134728457 reducing max timestep prior to age target 173 4.5149875734971247D+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 7 1.4464E+08 1.906760 -0.174008 -99.000000 -99.000000 -6.805568 0.000000 0.000164 0.002009 0.019797 0.000E+00 max increase rel_E_err 1.7912008865895400D-13 log_rel_run_E_err -10.6112161162626109 (age_target - star_age)/age_sigma 180 680.7483003179 reducing max timestep prior to age target 180 4.4248639520660629D+09 (age_target - star_age)/age_sigma 183 666.7469289260 reducing max timestep prior to age target 183 4.3338550380190697D+09 (age_target - star_age)/age_sigma 185 652.1239581889 reducing max timestep prior to age target 185 4.2388057282275715D+09 (age_target - star_age)/age_sigma 187 631.0668803274 reducing max timestep prior to age target 187 4.1019347221278148D+09 (age_target - star_age)/age_sigma 188 618.7479364697 reducing max timestep prior to age target 188 4.0218615870528350D+09 (age_target - star_age)/age_sigma 189 606.6753714891 reducing max timestep prior to age target 189 3.9433899146793551D+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 -15.255620 -99.000000 -6.816486 0.000000 0.000014 0.002017 0.019902 0.000E+00 max_dt rel_E_err 2.0189392200007899D-13 log_rel_run_E_err -10.5799076042912787 (age_target - star_age)/age_sigma 190 594.8442578082 reducing max timestep prior to age target 190 3.8664876757533445D+09 (age_target - star_age)/age_sigma 191 583.2497664009 reducing max timestep prior to age target 191 3.7911234816058545D+09 (age_target - star_age)/age_sigma 192 571.8871648217 reducing max timestep prior to age target 192 3.7172665713413143D+09 (age_target - star_age)/age_sigma 193 560.7518152742 reducing max timestep prior to age target 193 3.6448867992820644D+09 (age_target - star_age)/age_sigma 194 549.8391727175 reducing max timestep prior to age target 194 3.5739546226640000D+09 (age_target - star_age)/age_sigma 195 539.1447830120 reducing max timestep prior to age target 195 3.5044410895782967D+09 (age_target - star_age)/age_sigma 196 528.6642811007 reducing max timestep prior to age target 196 3.4363178271543074D+09 (age_target - star_age)/age_sigma 197 518.3933892275 reducing max timestep prior to age target 197 3.3695570299787979D+09 (age_target - star_age)/age_sigma 198 508.3279151918 reducing max timestep prior to age target 198 3.3041314487467990D+09 (age_target - star_age)/age_sigma 199 498.4637506368 reducing max timestep prior to age target 199 3.2400143791394396D+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 1.9796615129896064D-13 log_rel_run_E_err -10.5510979802662330 (age_target - star_age)/age_sigma 200 488.7968693730 reducing max timestep prior to age target 200 3.1771796509242277D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.3233257344 reducing max timestep prior to age target 201 3.1156016172733202D+09 (age_target - star_age)/age_sigma 202 470.0392529685 reducing max timestep prior to age target 202 3.0552551442954302D+09 (age_target - star_age)/age_sigma 203 460.9408616580 reducing max timestep prior to age target 203 2.9961156007770987D+09 (age_target - star_age)/age_sigma 204 452.0244381737 reducing max timestep prior to age target 204 2.9381588481291332D+09 (age_target - star_age)/age_sigma 205 443.2863431591 reducing max timestep prior to age target 205 2.8813612305341272D+09 (age_target - star_age)/age_sigma 206 434.7230100448 reducing max timestep prior to age target 206 2.8256995652910213D+09 (age_target - star_age)/age_sigma 207 426.3309435927 reducing max timestep prior to age target 207 2.7711511333527780D+09 (age_target - star_age)/age_sigma 208 418.1067184697 reducing max timestep prior to age target 208 2.7176936700532990D+09 (age_target - star_age)/age_sigma 209 410.0469778492 reducing max timestep prior to age target 209 2.6653053560198097D+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 -99.000000 -99.000000 -6.839310 0.000000 0.000015 0.002034 0.020075 0.000E+00 max_dt rel_E_err 1.7957386071690760D-13 log_rel_run_E_err -10.5242423925421029 (age_target - star_age)/age_sigma 210 402.1484320411 reducing max timestep prior to age target 210 2.6139648082669907D+09 (age_target - star_age)/age_sigma 211 394.4078571491 reducing max timestep prior to age target 211 2.5636510714692273D+09 (age_target - star_age)/age_sigma 212 386.8220937550 reducing max timestep prior to age target 212 2.5143436094074197D+09 (age_target - star_age)/age_sigma 214 371.9539975025 reducing max timestep prior to age target 214 2.4177009837662764D+09 (age_target - star_age)/age_sigma 215 364.6686303388 reducing max timestep prior to age target 215 2.3703460972021160D+09 (age_target - star_age)/age_sigma 216 357.5289705183 reducing max timestep prior to age target 216 2.3239383083692389D+09 (age_target - star_age)/age_sigma 217 350.5321038943 reducing max timestep prior to age target 217 2.2784586753130193D+09 (age_target - star_age)/age_sigma 218 343.6751746028 reducing max timestep prior to age target 218 2.2338886349179244D+09 (age_target - star_age)/age_sigma 219 336.9553838970 reducing max timestep prior to age target 219 2.1902099953307314D+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 -15.653560 -99.000000 -6.848351 0.000000 0.000016 0.002041 0.020136 0.000E+00 max_dt rel_E_err 1.8672810312548252D-13 log_rel_run_E_err -10.4982946638473695 (age_target - star_age)/age_sigma 220 330.3699890054 reducing max timestep prior to age target 220 2.1474049285352821D+09 (age_target - star_age)/age_sigma 221 323.9163020117 reducing max timestep prior to age target 221 2.1054559630757422D+09 (age_target - star_age)/age_sigma 222 317.5916887578 reducing max timestep prior to age target 222 2.0643459769253926D+09 (age_target - star_age)/age_sigma 223 311.3935677689 reducing max timestep prior to age target 223 2.0240581904980502D+09 (age_target - star_age)/age_sigma 224 305.3194091999 reducing max timestep prior to age target 224 1.9845761597992544D+09 (age_target - star_age)/age_sigma 225 299.3667338022 reducing max timestep prior to age target 225 1.9458837697144346D+09 (age_target - star_age)/age_sigma 226 293.5331119125 reducing max timestep prior to age target 226 1.9079652274313116D+09 (age_target - star_age)/age_sigma 227 287.8161624606 reducing max timestep prior to age target 227 1.8708050559938507D+09 (age_target - star_age)/age_sigma 228 282.2135519977 reducing max timestep prior to age target 228 1.8343880879851389D+09 (age_target - star_age)/age_sigma 229 276.7229937441 reducing max timestep prior to age target 229 1.7986994593366017D+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 -15.954590 -99.000000 -6.856082 0.000000 0.000016 0.002046 0.020185 0.000E+00 max_dt rel_E_err 1.9284305990396712D-13 log_rel_run_E_err -10.4742362330657937 (age_target - star_age)/age_sigma 230 271.3422466555 reducing max timestep prior to age target 230 1.7637246032610350D+09 (age_target - star_age)/age_sigma 231 266.0691145088 reducing max timestep prior to age target 231 1.7294492443069797D+09 (age_target - star_age)/age_sigma 232 260.9014450049 reducing max timestep prior to age target 232 1.6958593925320053D+09 (age_target - star_age)/age_sigma 233 255.8371288912 reducing max timestep prior to age target 233 1.6629413377925305D+09 (age_target - star_age)/age_sigma 234 250.8740990997 reducing max timestep prior to age target 234 1.6306816441478453D+09 (age_target - star_age)/age_sigma 235 246.0103299040 reducing max timestep prior to age target 235 1.5990671443760538D+09 (age_target - star_age)/age_sigma 236 241.2438360923 reducing max timestep prior to age target 236 1.5680849345996985D+09 (age_target - star_age)/age_sigma 237 236.5726721567 reducing max timestep prior to age target 237 1.5377223690188699D+09 (age_target - star_age)/age_sigma 238 231.9949314999 reducing max timestep prior to age target 238 1.5079670547496581D+09 (age_target - star_age)/age_sigma 239 227.5087456563 reducing max timestep prior to age target 239 1.4788068467658300D+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 -99.000000 -99.000000 -6.862578 0.000000 0.000017 0.002050 0.020224 0.000E+00 max_dt rel_E_err 1.8820069175689129D-13 log_rel_run_E_err -10.4510359829054487 (age_target - star_age)/age_sigma 240 223.1122835295 reducing max timestep prior to age target 240 1.4502298429416785D+09 (age_target - star_age)/age_sigma 241 218.8037506452 reducing max timestep prior to age target 241 1.4222243791940107D+09 (age_target - star_age)/age_sigma 242 214.5813884187 reducing max timestep prior to age target 242 1.3947790247212958D+09 (age_target - star_age)/age_sigma 243 210.4434734366 reducing max timestep prior to age target 243 1.3678825773380351D+09 (age_target - star_age)/age_sigma 244 206.3883167542 reducing max timestep prior to age target 244 1.3415240589024401D+09 (age_target - star_age)/age_sigma 245 202.4142632055 reducing max timestep prior to age target 245 1.3156927108355565D+09 (age_target - star_age)/age_sigma 246 198.5196907277 reducing max timestep prior to age target 246 1.2903779897300110D+09 (age_target - star_age)/age_sigma 248 190.8863286713 reducing max timestep prior to age target 248 1.2407611363631411D+09 (age_target - star_age)/age_sigma 249 187.1459812636 reducing max timestep prior to age target 249 1.2164488782133751D+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 -99.000000 -99.000000 -6.868038 0.000000 0.000017 0.002053 0.020254 0.000E+00 max_dt rel_E_err 1.7844970981128047D-13 log_rel_run_E_err -10.4294605891893220 (age_target - star_age)/age_sigma 250 183.4804408041 reducing max timestep prior to age target 250 1.1926228652266045D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.8882111538 reducing max timestep prior to age target 251 1.1692733724995689D+09 (age_target - star_age)/age_sigma 252 176.3678260965 reducing max timestep prior to age target 252 1.1463908696270742D+09 (age_target - star_age)/age_sigma 253 172.9178487403 reducing max timestep prior to age target 253 1.1239660168120294D+09 (age_target - star_age)/age_sigma 254 169.5368709313 reducing max timestep prior to age target 254 1.1019896610532851D+09 (age_target - star_age)/age_sigma 255 166.2235126784 reducing max timestep prior to age target 255 1.0804528324097161D+09 (age_target - star_age)/age_sigma 256 162.9764215906 reducing max timestep prior to age target 256 1.0593467403390188D+09 (age_target - star_age)/age_sigma 257 159.7942723246 reducing max timestep prior to age target 257 1.0386627701097350D+09 (age_target - star_age)/age_sigma 258 156.6757660439 reducing max timestep prior to age target 258 1.0183924792850370D+09 (age_target - star_age)/age_sigma 259 153.6196298887 reducing max timestep prior to age target 259 9.9852759427683306D+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 -99.000000 -99.000000 -6.872630 0.000000 0.000018 0.002056 0.020278 0.000E+00 max_dt rel_E_err 1.9743190238368483D-13 log_rel_run_E_err -10.4084308147798854 (age_target - star_age)/age_sigma 260 150.6246164567 reducing max timestep prior to age target 260 9.7906000696879292D+08 (age_target - star_age)/age_sigma 261 147.6895032934 reducing max timestep prior to age target 261 9.5998177140691423D+08 (age_target - star_age)/age_sigma 262 144.8130923933 reducing max timestep prior to age target 262 9.4128510055627251D+08 (age_target - star_age)/age_sigma 263 141.9942097112 reducing max timestep prior to age target 263 9.2296236312264347D+08 (age_target - star_age)/age_sigma 264 139.2317046827 reducing max timestep prior to age target 264 9.0500608043768740D+08 (age_target - star_age)/age_sigma 265 136.5244497548 reducing max timestep prior to age target 265 8.8740892340643024D+08 (age_target - star_age)/age_sigma 266 133.8713399255 reducing max timestep prior to age target 266 8.7016370951579857D+08 (age_target - star_age)/age_sigma 267 131.2712922928 reducing max timestep prior to age target 267 8.5326339990297937D+08 (age_target - star_age)/age_sigma 268 128.7232456127 reducing max timestep prior to age target 268 8.3670109648241663D+08 (age_target - star_age)/age_sigma 269 126.2261598662 reducing max timestep prior to age target 269 8.2047003913026476D+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 -15.352530 -99.000000 -6.876458 0.000000 0.000018 0.002058 0.020297 0.000E+00 max_dt rel_E_err 1.8562308938801212D-13 log_rel_run_E_err -10.3883920436817849 (age_target - star_age)/age_sigma 270 123.7790158346 reducing max timestep prior to age target 270 8.0456360292515612D+08 (age_target - star_age)/age_sigma 271 121.3808146837 reducing max timestep prior to age target 271 7.8897529544414997D+08 (age_target - star_age)/age_sigma 272 119.0305775558 reducing max timestep prior to age target 272 7.7369875411276340D+08 (age_target - star_age)/age_sigma 273 116.7273451705 reducing max timestep prior to age target 273 7.5872774360800457D+08 (age_target - star_age)/age_sigma 274 114.4701774328 reducing max timestep prior to age target 274 7.4405615331334162D+08 (age_target - star_age)/age_sigma 275 112.2581530499 reducing max timestep prior to age target 275 7.2967799482457113D+08 (age_target - star_age)/age_sigma 276 110.0903691547 reducing max timestep prior to age target 276 7.1558739950557661D+08 (age_target - star_age)/age_sigma 277 107.9659409374 reducing max timestep prior to age target 277 7.0177861609296179D+08 (age_target - star_age)/age_sigma 278 105.8840012844 reducing max timestep prior to age target 278 6.8824600834859943D+08 (age_target - star_age)/age_sigma 279 103.8437004245 reducing max timestep prior to age target 279 6.7498405275912380D+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 9 3.9075E+09 2.105931 -0.062185 -99.000000 -99.000000 -6.879618 0.000000 0.000018 0.002060 0.020312 0.000E+00 max_dt rel_E_err 1.8613083282605451D-13 log_rel_run_E_err -10.3689720532749838 (age_target - star_age)/age_sigma 280 101.8442055818 reducing max timestep prior to age target 280 6.6198733628143787D+08 (age_target - star_age)/age_sigma 281 99.8847006359 reducing max timestep prior to age target 281 6.4925055413330603D+08 (age_target - star_age)/age_sigma 283 96.0440709420 reducing max timestep prior to age target 283 6.2428646112296724D+08 (age_target - star_age)/age_sigma 284 94.1621623920 reducing max timestep prior to age target 284 6.1205405554790068D+08 (age_target - star_age)/age_sigma 285 92.3178920130 reducing max timestep prior to age target 285 6.0006629808433580D+08 (age_target - star_age)/age_sigma 286 90.5105070415 reducing max timestep prior to age target 286 5.8831829577004242D+08 (age_target - star_age)/age_sigma 287 88.7392697695 reducing max timestep prior to age target 287 5.7680525350203466D+08 (age_target - star_age)/age_sigma 288 87.0034572430 reducing max timestep prior to age target 288 5.6552247207938719D+08 (age_target - star_age)/age_sigma 289 85.3023609670 reducing max timestep prior to age target 289 5.5446534628519297D+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 5 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 1.8773513107654666D-13 log_rel_run_E_err -10.3505411234947466 (age_target - star_age)/age_sigma 290 83.6352866164 reducing max timestep prior to age target 290 5.4362936300688219D+08 (age_target - star_age)/age_sigma 291 82.0015537529 reducing max timestep prior to age target 291 5.3301009939413786D+08 (age_target - star_age)/age_sigma 292 80.4004955467 reducing max timestep prior to age target 292 5.2260322105364847D+08 (age_target - star_age)/age_sigma 293 78.8314585046 reducing max timestep prior to age target 293 5.1240448027996922D+08 (age_target - star_age)/age_sigma 294 77.2938022033 reducing max timestep prior to age target 294 5.0240971432176304D+08 (age_target - star_age)/age_sigma 295 75.7868990281 reducing max timestep prior to age target 295 4.9261484368272114D+08 (age_target - star_age)/age_sigma 296 74.3101339164 reducing max timestep prior to age target 296 4.8301587045646000D+08 (age_target - star_age)/age_sigma 297 72.8629041069 reducing max timestep prior to age target 297 4.7360887669472408D+08 (age_target - star_age)/age_sigma 298 71.4446188936 reducing max timestep prior to age target 298 4.6439002280822277D+08 (age_target - star_age)/age_sigma 299 70.0546993845 reducing max timestep prior to age target 299 4.5535554599945164D+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 -15.954590 -99.000000 -6.884468 0.000000 0.000019 0.002063 0.020334 0.000E+00 max_dt rel_E_err 1.8699682269289414D-13 log_rel_run_E_err -10.3332599263856491 (age_target - star_age)/age_sigma 300 68.6925782657 reducing max timestep prior to age target 300 4.4650175872685575D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.3576995692 reducing max timestep prior to age target 301 4.3782504719971180D+08 (age_target - star_age)/age_sigma 302 66.0495184466 reducing max timestep prior to age target 302 4.2932186990311098D+08 (age_target - star_age)/age_sigma 303 64.7675009465 reducing max timestep prior to age target 303 4.2098875615244198D+08 (age_target - star_age)/age_sigma 304 63.5111237964 reducing max timestep prior to age target 304 4.1282230467678642D+08 (age_target - star_age)/age_sigma 305 62.2798741893 reducing max timestep prior to age target 305 4.0481918223064423D+08 (age_target - star_age)/age_sigma 306 61.0732495744 reducing max timestep prior to age target 306 3.9697612223342466D+08 (age_target - star_age)/age_sigma 307 59.8907574517 reducing max timestep prior to age target 307 3.8928992343614912D+08 (age_target - star_age)/age_sigma 308 58.7319151715 reducing max timestep prior to age target 308 3.8175744861481953D+08 (age_target - star_age)/age_sigma 309 57.5962497369 reducing max timestep prior to age target 309 3.7437562328991604D+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 1.7897177725920596D-13 log_rel_run_E_err -10.3165691499644439 (age_target - star_age)/age_sigma 310 56.4832976110 reducing max timestep prior to age target 310 3.6714143447151136D+08 (age_target - star_age)/age_sigma 311 55.3926045276 reducing max timestep prior to age target 311 3.6005192942947388D+08 (age_target - star_age)/age_sigma 312 54.3237253059 reducing max timestep prior to age target 312 3.5310421448827791D+08 (age_target - star_age)/age_sigma 313 53.2762236686 reducing max timestep prior to age target 313 3.4629545384590578D+08 (age_target - star_age)/age_sigma 314 52.2496720641 reducing max timestep prior to age target 314 3.3962286841638088D+08 (age_target - star_age)/age_sigma 315 51.2436514916 reducing max timestep prior to age target 315 3.3308373469544649D+08 (age_target - star_age)/age_sigma 316 50.2577513306 reducing max timestep prior to age target 316 3.2667538364893103D+08 (age_target - star_age)/age_sigma 318 48.3253870150 reducing max timestep prior to age target 318 3.1411501559776068D+08 (age_target - star_age)/age_sigma 319 47.3785285004 reducing max timestep prior to age target 319 3.0796043525268698D+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 -99.000000 -99.000000 -6.887754 0.000000 0.000019 0.002065 0.020348 0.000E+00 max_dt rel_E_err 1.7332847398998418D-13 log_rel_run_E_err -10.3006574859709676 (age_target - star_age)/age_sigma 320 46.4506071561 reducing max timestep prior to age target 320 3.0192894651451445D+08 (age_target - star_age)/age_sigma 321 45.5412442386 reducing max timestep prior to age target 321 2.9601808755110598D+08 (age_target - star_age)/age_sigma 322 44.6500685795 reducing max timestep prior to age target 322 2.9022544576696539D+08 (age_target - star_age)/age_sigma 323 43.7767164336 reducing max timestep prior to age target 323 2.8454865681850719D+08 (age_target - star_age)/age_sigma 324 42.9208313306 reducing max timestep prior to age target 324 2.7898540364901876D+08 (age_target - star_age)/age_sigma 325 42.0820639297 reducing max timestep prior to age target 325 2.7353341554292011D+08 (age_target - star_age)/age_sigma 326 41.2600718768 reducing max timestep prior to age target 326 2.6819046719894314D+08 (age_target - star_age)/age_sigma 327 40.4545196649 reducing max timestep prior to age target 327 2.6295437782184505D+08 (age_target - star_age)/age_sigma 328 39.6650784973 reducing max timestep prior to age target 328 2.5782301023229027D+08 (age_target - star_age)/age_sigma 329 38.8914261530 reducing max timestep prior to age target 329 2.5279426999452591D+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 1.7864944759606073D-13 log_rel_run_E_err -10.2854729959054865 (age_target - star_age)/age_sigma 330 38.1332468556 reducing max timestep prior to age target 330 2.4786610456151772D+08 (age_target - star_age)/age_sigma 331 37.3902311442 reducing max timestep prior to age target 331 2.4303650243716908D+08 (age_target - star_age)/age_sigma 332 36.6620757470 reducing max timestep prior to age target 332 2.3830349235530758D+08 (age_target - star_age)/age_sigma 333 35.9484834577 reducing max timestep prior to age target 333 2.3366514247508240D+08 (age_target - star_age)/age_sigma 334 35.2491630142 reducing max timestep prior to age target 334 2.2911955959246254D+08 (age_target - star_age)/age_sigma 335 34.5638289796 reducing max timestep prior to age target 335 2.2466488836749458D+08 (age_target - star_age)/age_sigma 336 33.8922016257 reducing max timestep prior to age target 336 2.2029931056702614D+08 (age_target - star_age)/age_sigma 337 33.2340068189 reducing max timestep prior to age target 337 2.1602104432256699D+08 (age_target - star_age)/age_sigma 338 32.5889759082 reducing max timestep prior to age target 338 2.1182834340299702D+08 (age_target - star_age)/age_sigma 339 31.9568456157 reducing max timestep prior to age target 339 2.0771949650181961D+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 -99.000000 -99.000000 -6.890006 0.000000 0.000019 0.002066 0.020357 0.000E+00 max_dt rel_E_err 1.8011241178956785D-13 log_rel_run_E_err -10.2705428763945417 (age_target - star_age)/age_sigma 340 31.3373579290 reducing max timestep prior to age target 340 2.0369282653866482D+08 (age_target - star_age)/age_sigma 341 30.7302599961 reducing max timestep prior to age target 341 1.9974668997477245D+08 (age_target - star_age)/age_sigma 342 30.1353040219 reducing max timestep prior to age target 342 1.9587947614215851D+08 (age_target - star_age)/age_sigma 343 29.5522471671 reducing max timestep prior to age target 343 1.9208960658619690D+08 (age_target - star_age)/age_sigma 344 28.9808514494 reducing max timestep prior to age target 344 1.8837553442135429D+08 (age_target - star_age)/age_sigma 345 28.4208836461 reducing max timestep prior to age target 345 1.8473574369980907D+08 (age_target - star_age)/age_sigma 346 27.8721151989 reducing max timestep prior to age target 346 1.8116874879269505D+08 (age_target - star_age)/age_sigma 347 27.3343221206 reducing max timestep prior to age target 347 1.7767309378372288D+08 (age_target - star_age)/age_sigma 348 26.8072849038 reducing max timestep prior to age target 348 1.7424735187492943D+08 (age_target - star_age)/age_sigma 349 26.2907884314 reducing max timestep prior to age target 349 1.7089012480431271D+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 -99.000000 -99.000000 -6.890836 0.000000 0.000019 0.002067 0.020361 0.000E+00 max_dt rel_E_err 1.7686050319781805D-13 log_rel_run_E_err -10.2558227877065828 (age_target - star_age)/age_sigma 350 25.7846218885 reducing max timestep prior to age target 350 1.6760004227510834D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.2885786764 reducing max timestep prior to age target 351 1.6437576139648724D+08 (age_target - star_age)/age_sigma 353 24.3163339807 reducing max timestep prior to age target 353 1.5805617087439156D+08 (age_target - star_age)/age_sigma 354 23.8399340798 reducing max timestep prior to age target 354 1.5495957151856422D+08 (age_target - star_age)/age_sigma 355 23.3730621769 reducing max timestep prior to age target 355 1.5192490414985371D+08 (age_target - star_age)/age_sigma 356 22.9155277121 reducing max timestep prior to age target 356 1.4895093012851715D+08 (age_target - star_age)/age_sigma 357 22.4671439366 reducing max timestep prior to age target 357 1.4603643558760738D+08 (age_target - star_age)/age_sigma 358 22.0277278365 reducing max timestep prior to age target 358 1.4318023093751621D+08 (age_target - star_age)/age_sigma 359 21.5971000585 reducing max timestep prior to age target 359 1.4038115038042641D+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 -15.653560 -99.000000 -6.891525 0.000000 0.000019 0.002067 0.020363 0.000E+00 max_dt rel_E_err 1.9808009126285902D-13 log_rel_run_E_err -10.2415605854101184 (age_target - star_age)/age_sigma 360 21.1750848361 reducing max timestep prior to age target 360 1.3763805143447876D+08 (age_target - star_age)/age_sigma 361 20.7615099181 reducing max timestep prior to age target 361 1.3494981446744919D+08 (age_target - star_age)/age_sigma 362 20.3562064984 reducing max timestep prior to age target 362 1.3231534223976135D+08 (age_target - star_age)/age_sigma 363 19.9590091472 reducing max timestep prior to age target 363 1.2973355945662594D+08 (age_target - star_age)/age_sigma 364 19.5697557429 reducing max timestep prior to age target 364 1.2720341232915497D+08 (age_target - star_age)/age_sigma 365 19.1882874068 reducing max timestep prior to age target 365 1.2472386814423180D+08 (age_target - star_age)/age_sigma 366 18.8144484374 reducing max timestep prior to age target 366 1.2229391484300804D+08 (age_target - star_age)/age_sigma 367 18.4480862474 reducing max timestep prior to age target 367 1.1991256060780811D+08 (age_target - star_age)/age_sigma 368 18.0890513011 reducing max timestep prior to age target 368 1.1757883345731258D+08 (age_target - star_age)/age_sigma 369 17.7371970538 reducing max timestep prior to age target 369 1.1529178084982777D+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 -15.954590 -99.000000 -6.892092 0.000000 0.000019 0.002067 0.020365 0.000E+00 max_dt rel_E_err 1.8861457099859833D-13 log_rel_run_E_err -10.2275285498649318 (age_target - star_age)/age_sigma 370 17.3923798915 reducing max timestep prior to age target 370 1.1305046929449177D+08 (age_target - star_age)/age_sigma 371 17.0544590723 reducing max timestep prior to age target 371 1.1085398397026253D+08 (age_target - star_age)/age_sigma 372 16.7232966696 reducing max timestep prior to age target 372 1.0870142835251713D+08 (age_target - star_age)/age_sigma 373 16.3987575149 reducing max timestep prior to age target 373 1.0659192384712791D+08 (age_target - star_age)/age_sigma 374 16.0807091434 reducing max timestep prior to age target 374 1.0452460943184662D+08 (age_target - star_age)/age_sigma 375 15.7690217392 reducing max timestep prior to age target 375 1.0249864130486965D+08 (age_target - star_age)/age_sigma 376 15.4635680831 reducing max timestep prior to age target 376 1.0051319254043293D+08 (age_target - star_age)/age_sigma 377 15.1642235002 reducing max timestep prior to age target 377 9.8567452751284599D+07 (age_target - star_age)/age_sigma 378 14.8708658089 reducing max timestep prior to age target 378 9.6660627757919312D+07 (age_target - star_age)/age_sigma 379 14.5833752714 reducing max timestep prior to age target 379 9.4791939264422417D+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 1.9481806558574478D-13 log_rel_run_E_err -10.2142144776440045 (age_target - star_age)/age_sigma 380 14.3016345447 reducing max timestep prior to age target 380 9.2960624540794373D+07 (age_target - star_age)/age_sigma 381 14.0255286326 reducing max timestep prior to age target 381 9.1165936111639023D+07 (age_target - star_age)/age_sigma 382 13.7549448386 reducing max timestep prior to age target 382 8.9407141451067924D+07 (age_target - star_age)/age_sigma 383 13.4897727206 reducing max timestep prior to age target 383 8.7683522683706284D+07 (age_target - star_age)/age_sigma 384 13.2299040449 reducing max timestep prior to age target 384 8.5994376291692734D+07 (age_target - star_age)/age_sigma 385 12.9752327427 reducing max timestep prior to age target 385 8.4339012827520370D+07 (age_target - star_age)/age_sigma 386 12.7256548666 reducing max timestep prior to age target 386 8.2716756632630348D+07 (age_target - star_age)/age_sigma 388 12.2364822293 reducing max timestep prior to age target 388 7.9537134490646362D+07 (age_target - star_age)/age_sigma 389 11.9967876371 reducing max timestep prior to age target 389 7.7979119641074181D+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 1.7935538322034297D-13 log_rel_run_E_err -10.2013253030999138 (age_target - star_age)/age_sigma 390 11.7618869367 reducing max timestep prior to age target 390 7.6452265088493347D+07 (age_target - star_age)/age_sigma 391 11.5316842503 reducing max timestep prior to age target 391 7.4955947626963615D+07 (age_target - star_age)/age_sigma 392 11.3060856176 reducing max timestep prior to age target 392 7.3489556514665604D+07 (age_target - star_age)/age_sigma 393 11.0849989576 reducing max timestep prior to age target 393 7.2052493224613190D+07 (age_target - star_age)/age_sigma 394 10.8683340308 reducing max timestep prior to age target 394 7.0644171200361252D+07 (age_target - star_age)/age_sigma 395 10.6560024026 reducing max timestep prior to age target 395 6.9264015616595268D+07 (age_target - star_age)/age_sigma 396 10.4479174068 reducing max timestep prior to age target 396 6.7911463144503593D+07 (age_target - star_age)/age_sigma 397 10.2439941111 reducing max timestep prior to age target 397 6.6585961721854210D+07 (age_target - star_age)/age_sigma 398 10.0441492812 reducing max timestep prior to age target 398 6.5286970327658653D+07 (age_target - star_age)/age_sigma 399 9.8483013479 reducing max timestep prior to age target 399 6.4013958761345863D+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 1.9478918172105843D-13 log_rel_run_E_err -10.1886107927559380 (age_target - star_age)/age_sigma 400 9.6563703733 reducing max timestep prior to age target 400 6.2766407426360130D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4682780182 reducing max timestep prior to age target 401 6.1543807118073463D+07 (age_target - star_age)/age_sigma 402 9.2839475101 reducing max timestep prior to age target 402 6.0345658815952301D+07 (age_target - star_age)/age_sigma 403 9.1033036123 reducing max timestep prior to age target 403 5.9171473479874611D+07 (age_target - star_age)/age_sigma 404 8.9262725924 reducing max timestep prior to age target 404 5.8020771850517273D+07 (age_target - star_age)/age_sigma 405 8.7527821929 reducing max timestep prior to age target 405 5.6893084253747940D+07 (age_target - star_age)/age_sigma 406 8.5827616014 reducing max timestep prior to age target 406 5.5787950408913612D+07 (age_target - star_age)/age_sigma 407 8.4161414217 reducing max timestep prior to age target 407 5.4704919240976334D+07 (age_target - star_age)/age_sigma 408 8.2528536456 reducing max timestep prior to age target 408 5.3643548696396828D+07 (age_target - star_age)/age_sigma 409 8.0928316250 reducing max timestep prior to age target 409 5.2603405562709808D+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 3 4.5179E+09 2.146314 -0.042305 -99.000000 -99.000000 -6.893511 0.000000 0.000019 0.002068 0.020371 0.000E+00 max_dt rel_E_err 1.7525776163196520D-13 log_rel_run_E_err -10.1764443793528958 (age_target - star_age)/age_sigma 410 7.9360100449 reducing max timestep prior to age target 410 5.1584065291696548D+07 (age_target - star_age)/age_sigma 411 7.7823248963 reducing max timestep prior to age target 411 5.0585111826103210D+07 (age_target - star_age)/age_sigma 412 7.6317134507 reducing max timestep prior to age target 412 4.9606137429821968D+07 (age_target - star_age)/age_sigma 413 7.4841142341 reducing max timestep prior to age target 413 4.8646742521467209D+07 (age_target - star_age)/age_sigma 414 7.3394670017 reducing max timestep prior to age target 414 4.7706535511278152D+07 (age_target - star_age)/age_sigma 415 7.1977127140 reducing max timestep prior to age target 415 4.6785132641293526D+07 (age_target - star_age)/age_sigma 416 7.0587935121 reducing max timestep prior to age target 416 4.5882157828708649D+07 (age_target - star_age)/age_sigma 417 6.9226526942 reducing max timestep prior to age target 417 4.4997242512375832D+07 (age_target - star_age)/age_sigma 418 6.7892346927 reducing max timestep prior to age target 418 4.4130025502368927D+07 (age_target - star_age)/age_sigma 419 6.6584850512 reducing max timestep prior to age target 419 4.3280152832562447D+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 -15.255620 -99.000000 -6.893723 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 1.7954001570375315D-13 log_rel_run_E_err -10.1644390747866389 (age_target - star_age)/age_sigma 420 6.5303504025 reducing max timestep prior to age target 420 4.2447277616151810D+07 (age_target - star_age)/age_sigma 422 6.2792064911 reducing max timestep prior to age target 422 4.0814842191987991D+07 (age_target - star_age)/age_sigma 423 6.1561459745 reducing max timestep prior to age target 423 4.0014948834147453D+07 (age_target - star_age)/age_sigma 424 6.0355466682 reducing max timestep prior to age target 424 3.9231053343462944D+07 (age_target - star_age)/age_sigma 425 5.9173593481 reducing max timestep prior to age target 425 3.8462835762593269D+07 (age_target - star_age)/age_sigma 426 5.8015357744 reducing max timestep prior to age target 426 3.7709982533340454D+07 (age_target - star_age)/age_sigma 427 5.6880286721 reducing max timestep prior to age target 427 3.6972186368673325D+07 (age_target - star_age)/age_sigma 428 5.5767917119 reducing max timestep prior to age target 428 3.6249146127298355D+07 (age_target - star_age)/age_sigma 429 5.4677794909 reducing max timestep prior to age target 429 3.5540566690752029D+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 -15.477469 -99.000000 -6.893899 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 1.9283211675100252D-13 log_rel_run_E_err -10.1527187272255546 (age_target - star_age)/age_sigma 430 5.3609475143 reducing max timestep prior to age target 430 3.4846158842935562D+07 (age_target - star_age)/age_sigma 431 5.2562521772 reducing max timestep prior to age target 431 3.4165639152075768D+07 (age_target - star_age)/age_sigma 432 5.1536507469 reducing max timestep prior to age target 432 3.3498729855032921D+07 (age_target - star_age)/age_sigma 433 5.0531013452 reducing max timestep prior to age target 433 3.2845158743931770D+07 (age_target - star_age)/age_sigma 434 4.9540209267 reducing max timestep prior to age target 434 3.2201136023462296D+07 (age_target - star_age)/age_sigma 435 4.8549405082 reducing max timestep prior to age target 435 3.1557113302992821D+07 (age_target - star_age)/age_sigma 436 4.7558600896 reducing max timestep prior to age target 436 3.0913090582523346D+07 (age_target - star_age)/age_sigma 437 4.6567796711 remaining steps and years until age target 437 47 3.0269067862054825D+07 (age_target - star_age)/age_sigma 438 4.5576992526 reducing max timestep prior to age target 438 2.9625045141585350D+07 (age_target - star_age)/age_sigma 439 4.4586188340 reducing max timestep prior to age target 439 2.8981022421115875D+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 1.9497088538639461D-13 log_rel_run_E_err -10.1413435863507431 (age_target - star_age)/age_sigma 440 4.3595384155 reducing max timestep prior to age target 440 2.8336999700646400D+07 (age_target - star_age)/age_sigma 441 4.2604579970 reducing max timestep prior to age target 441 2.7692976980176926D+07 (age_target - star_age)/age_sigma 442 4.1613775784 remaining steps and years until age target 442 42 2.7048954259708405D+07 (age_target - star_age)/age_sigma 443 4.0622971599 reducing max timestep prior to age target 443 2.6404931539238930D+07 (age_target - star_age)/age_sigma 444 3.9632167413 reducing max timestep prior to age target 444 2.5760908818769455D+07 (age_target - star_age)/age_sigma 445 3.8641363228 reducing max timestep prior to age target 445 2.5116886098299980D+07 (age_target - star_age)/age_sigma 446 3.7650559043 remaining steps and years until age target 446 38 2.4472863377831459D+07 (age_target - star_age)/age_sigma 447 3.6659754857 reducing max timestep prior to age target 447 2.3828840657361984D+07 (age_target - star_age)/age_sigma 448 3.5668950672 reducing max timestep prior to age target 448 2.3184817936891556D+07 (age_target - star_age)/age_sigma 449 3.4678146487 remaining steps and years until age target 449 35 2.2540795216423035D+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 -15.477469 -99.000000 -6.894198 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt rel_E_err 1.7737718173149466D-13 log_rel_run_E_err -10.1303121458855774 (age_target - star_age)/age_sigma 450 3.3687342301 remaining steps and years until age target 450 34 2.1896772495954514D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2696538116 reducing max timestep prior to age target 451 2.1252749775485039D+07 (age_target - star_age)/age_sigma 452 3.1705733931 reducing max timestep prior to age target 452 2.0608727055014610D+07 (age_target - star_age)/age_sigma 453 3.0714929745 remaining steps and years until age target 453 31 1.9964704334546089D+07 (age_target - star_age)/age_sigma 454 2.9724125560 remaining steps and years until age target 454 30 1.9320681614077568D+07 (age_target - star_age)/age_sigma 455 2.8733321375 reducing max timestep prior to age target 455 1.8676658893608093D+07 (age_target - star_age)/age_sigma 456 2.7742517189 reducing max timestep prior to age target 456 1.8032636173137665D+07 (age_target - star_age)/age_sigma 457 2.6751713004 remaining steps and years until age target 457 27 1.7388613452669144D+07 (age_target - star_age)/age_sigma 458 2.5760908819 remaining steps and years until age target 458 26 1.6744590732200623D+07 (age_target - star_age)/age_sigma 459 2.4770104633 reducing max timestep prior to age target 459 1.6100568011731148D+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 1.7908742364698975D-13 log_rel_run_E_err -10.1197497211610763 (age_target - star_age)/age_sigma 460 2.3779300448 reducing max timestep prior to age target 460 1.5456545291260719D+07 (age_target - star_age)/age_sigma 461 2.2788496263 remaining steps and years until age target 461 23 1.4812522570792198D+07 (age_target - star_age)/age_sigma 462 2.1797692077 remaining steps and years until age target 462 22 1.4168499850323677D+07 (age_target - star_age)/age_sigma 463 2.0806887892 reducing max timestep prior to age target 463 1.3524477129854202D+07 (age_target - star_age)/age_sigma 464 1.9816083707 reducing max timestep prior to age target 464 1.2880454409383774D+07 (age_target - star_age)/age_sigma 465 1.8825279521 remaining steps and years until age target 465 19 1.2236431688915253D+07 (age_target - star_age)/age_sigma 466 1.7834475336 remaining steps and years until age target 466 18 1.1592408968446732D+07 (age_target - star_age)/age_sigma 467 1.6843671151 reducing max timestep prior to age target 467 1.0948386247976303D+07 (age_target - star_age)/age_sigma 468 1.5852866965 remaining steps and years until age target 468 16 1.0304363527507782D+07 (age_target - star_age)/age_sigma 469 1.4862062780 remaining steps and years until age target 469 15 9.6603408070392609D+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 -99.000000 -99.000000 -6.894496 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt rel_E_err 1.9216443231097846D-13 log_rel_run_E_err -10.1092973406739279 (age_target - star_age)/age_sigma 470 1.3871258595 reducing max timestep prior to age target 470 9.0163180865697861D+06 (age_target - star_age)/age_sigma 471 1.2880454409 reducing max timestep prior to age target 471 8.3722953660993576D+06 (age_target - star_age)/age_sigma 472 1.1889650224 remaining steps and years until age target 472 12 7.7282726456308365D+06 (age_target - star_age)/age_sigma 473 1.0898846039 remaining steps and years until age target 473 11 7.0842499251623154D+06 (age_target - star_age)/age_sigma 474 0.9908041853 reducing max timestep prior to age target 474 6.4402272046928406D+06 (age_target - star_age)/age_sigma 475 0.8917237668 reducing max timestep prior to age target 475 5.7962044842224121D+06 (age_target - star_age)/age_sigma 476 0.7926433483 remaining steps and years until age target 476 8 5.1521817637538910D+06 (age_target - star_age)/age_sigma 477 0.6935629297 remaining steps and years until age target 477 7 4.5081590432853699D+06 (age_target - star_age)/age_sigma 478 0.5944825112 reducing max timestep prior to age target 478 3.8641363228158951D+06 (age_target - star_age)/age_sigma 479 0.4954020927 reducing max timestep prior to age target 479 3.2201136023454666D+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 1.6963984919883795D-13 log_rel_run_E_err -10.0990760313951267 (age_target - star_age)/age_sigma 480 0.3963216741 remaining steps and years until age target 480 4 2.5760908818769455D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2972412556 reducing max timestep prior to age target 481 1.9320681614074707D+06 (age_target - star_age)/age_sigma 482 0.1981608371 reducing max timestep prior to age target 482 1.2880454409379959D+06 (age_target - star_age)/age_sigma 483 0.0990804185 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 2.17 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 -15.255620 -99.000000 -6.894704 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt rel_E_err 1.7971733713291378D-13 log_rel_run_E_err -10.0950309148665252 Teff 5654.3575099517 radius 0.9944671034 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 30.6129453272 M_H 0.0137194191 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 188.2224592455 log_R -0.0024095786 delta_nu 142.6734830867 nu_max 3144.5557719800 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 333406.2784681909 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 "7925f3a" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251017" "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 3.3333875998557796E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615173200E+03 1.0010042019474803E+00 3.9078811628069096E-03 4.3590053503667412E-04 1.4131272100398823E+02 3.1134409186002226E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557796E+05 0 0 0 0 0 0 0 4 3.3337679267851432E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721607E+03 1.0114129281998743E+00 3.5086385894186152E-04 4.9285006214041822E-03 1.3913658568074439E+02 3.0234851123040030E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851432E+05 0 0 0 0 0 0 0 8 3.3340627846819087E+05 1.0000000000000000E+00 2.6392348767543500E-01 6.8730947586035512E-02 2.1110729980016920E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.6543575099517384E+03 9.9446710335111932E-01 1.3719419056414656E-02 -2.4095786223825083E-03 1.4267348308671825E+02 3.1445557719799672E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3340627846819087E+05 0 0 0 0 0 0 0 1 3.3351283960191271E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383765982E+03 1.0231407131234167E+00 -1.7395981943719165E-03 9.9353665865764985E-03 1.3680762272704359E+02 2.9640776267829979E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191271E+05 0 0 0 0 0 0 0 3 3.3365606602482294E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078367950E+03 1.0099970103007245E+00 2.9466215561488481E-02 4.3200882263855428E-03 1.3947582155333640E+02 3.0536692076806949E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482294E+05 0 0 0 0 0 0 0 7 3.3407039377753343E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770903885E+03 1.0465194169962448E+00 -6.8647778499884137E-03 1.9747290597394423E-02 1.3234565759147509E+02 2.8509534669593068E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377753343E+05 0 0 0 0 0 0 0 6 3.3418048986537580E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558237805E+03 1.0372797593388086E+00 -3.3936545784270106E-02 1.5895903497375928E-02 1.3402431816160777E+02 2.8735532959069392E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986537580E+05 0 0 0 0 0 0 0 2 3.3468070564325689E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399271829E+03 1.0622782375814146E+00 -1.2788199776495082E-02 2.6238284372326726E-02 1.2938435093834246E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325689E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data DATE: 2025-10-17 TIME: 17:58:57 finished inlist_fast_newuoa_header DATE: 2025-10-17 TIME: 17:58:57 finished fast_newuoa run: test string matches after ./rn