DATE: 2025-12-01 TIME: 01:55:28 run inlist_fast_newuoa_header DATE: 2025-12-01 TIME: 01:55:28 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 8f7f3a3 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 -28.597850 -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 3.9562807330739613D-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 1.8246323735112702D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -21.674160 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692958677860449D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1127416933281451D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.621787 4325.214 -4.903036 -4.903036 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 457 0 -4.2874E+00 6.621787 0.262613 -99.000000 -6.300784 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 10 2.5959E-04 0.156070 0.023950 -99.000000 -99.000000 -6.899727 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7864277696675554D-13 log_rel_run_E_err -11.5725781735299087 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 -19.925972 -99.000000 -6.905564 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6150699115593953D-13 log_rel_run_E_err -11.2761527744557544 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 -20.293948 -99.000000 -6.906078 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6877107384711423D-13 log_rel_run_E_err -11.1050862256399583 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 -20.470040 -99.000000 -6.905831 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6281079814984388D-13 log_rel_run_E_err -10.9814476841689217 50 6.621789 4337.363 -4.903035 -4.903035 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028130 454 0 -1.1201E+00 6.621789 0.262627 -99.000000 -6.300783 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 4.5497E-01 0.156074 0.028851 -20.470040 -99.000000 -6.905122 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7081989999545323D-13 log_rel_run_E_err -10.8830891588326821 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 2.5461531891225796D-13 log_rel_run_E_err -10.8044584348725223 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 2.8851373383102412D-13 log_rel_run_E_err -10.7366515610922466 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 -20.771070 -99.000000 -6.905079 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5349381676122970D-13 log_rel_run_E_err -10.6790858069324663 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 2.5105163643414124D-13 log_rel_run_E_err -10.6274348162599512 __________________________________________________________________________________________________________________________________________________ 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 -20.293948 -99.000000 -6.904666 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5129495277323560D-13 log_rel_run_E_err -10.5822851643428599 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 2.4140956843710963D-13 log_rel_run_E_err -10.5437737284924058 120 6.629865 4327.570 -4.812658 -4.812658 1.000000 1.000000 0.711274 0.000946 0.270000 -3.985727 454 0 4.4226E+00 6.629865 0.253108 -99.000000 -6.210400 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072280 3 1.5875E+05 0.186492 0.005886 -20.470040 -99.000000 -6.889335 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7259942588872579D-13 log_rel_run_E_err -10.4983222421226507 130 6.662087 4285.241 -4.441400 -4.441400 1.000000 1.000000 0.711274 0.000946 0.270000 -3.789459 454 0 5.2144E+00 6.662087 0.213519 -99.000000 -5.839107 -99.000000 0.000000 0.270000 0.008783 0.018726 0.074323 4 9.8295E+05 0.319478 -0.090367 -99.000000 -99.000000 -6.821859 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5370051679172544D-13 log_rel_run_E_err -10.2077651605646444 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 -99.000000 -99.000000 -6.662570 0.000000 0.003227 0.001952 0.018726 0.000E+00 varcontrol rel_E_err 2.5756617713830969D-13 log_rel_run_E_err -10.2924449081977869 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 5 1.4781E+07 1.306737 -0.339049 -17.760770 -99.000000 -6.716472 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.0623045433630946D-13 log_rel_run_E_err -10.3293575359076204 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 1.5749952161806395D-13 log_rel_run_E_err -10.4732914265787045 (age_target - star_age)/age_sigma 169 694.4614868079 reducing max timestep prior to age target 169 4.5139996642512550D+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 1.8430394250431180D-13 log_rel_run_E_err -10.5046153807962952 (age_target - star_age)/age_sigma 176 680.1699322052 reducing max timestep prior to age target 176 4.4211045593336849D+09 (age_target - star_age)/age_sigma 179 665.7379903482 reducing max timestep prior to age target 179 4.3272969372631874D+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 1.8503095004882891D-13 log_rel_run_E_err -10.4815913831276433 (age_target - star_age)/age_sigma 181 650.6653337098 reducing max timestep prior to age target 181 4.2293246691139560D+09 (age_target - star_age)/age_sigma 182 640.7995948193 reducing max timestep prior to age target 182 4.1651973663253684D+09 (age_target - star_age)/age_sigma 184 616.6417642929 reducing max timestep prior to age target 184 4.0081714679040833D+09 (age_target - star_age)/age_sigma 185 604.5691993124 reducing max timestep prior to age target 185 3.9296997955306034D+09 (age_target - star_age)/age_sigma 186 592.7380856315 reducing max timestep prior to age target 186 3.8527975566045928D+09 (age_target - star_age)/age_sigma 187 581.1435942242 reducing max timestep prior to age target 187 3.7774333624571028D+09 (age_target - star_age)/age_sigma 188 569.7809926450 reducing max timestep prior to age target 188 3.7035764521925621D+09 (age_target - star_age)/age_sigma 189 558.6456430974 reducing max timestep prior to age target 189 3.6311966801333127D+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 1.8180560276318550D-13 log_rel_run_E_err -10.4590677819038707 (age_target - star_age)/age_sigma 190 547.7330005408 reducing max timestep prior to age target 190 3.5602645035152483D+09 (age_target - star_age)/age_sigma 191 537.0386108353 reducing max timestep prior to age target 191 3.4907509704295449D+09 (age_target - star_age)/age_sigma 192 526.5581089239 reducing max timestep prior to age target 192 3.4226277080055561D+09 (age_target - star_age)/age_sigma 193 516.2872170508 reducing max timestep prior to age target 193 3.3558669108300467D+09 (age_target - star_age)/age_sigma 194 506.2217430151 reducing max timestep prior to age target 194 3.2904413295980473D+09 (age_target - star_age)/age_sigma 195 496.3575784601 reducing max timestep prior to age target 195 3.2263242599906883D+09 (age_target - star_age)/age_sigma 196 486.6906971962 reducing max timestep prior to age target 196 3.1634895317754760D+09 (age_target - star_age)/age_sigma 197 477.2171535576 reducing max timestep prior to age target 197 3.1019114981245680D+09 (age_target - star_age)/age_sigma 198 467.9330807918 reducing max timestep prior to age target 198 3.0415650251466789D+09 (age_target - star_age)/age_sigma 199 458.8346894813 reducing max timestep prior to age target 199 2.9824254816283464D+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 1.7384127590373589D-13 log_rel_run_E_err -10.4373333844972489 (age_target - star_age)/age_sigma 200 449.9182659970 reducing max timestep prior to age target 200 2.9244687289803815D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.1801709824 reducing max timestep prior to age target 201 2.8676711113853755D+09 (age_target - star_age)/age_sigma 202 432.6168378680 reducing max timestep prior to age target 202 2.8120094461422701D+09 (age_target - star_age)/age_sigma 203 424.2247714160 reducing max timestep prior to age target 203 2.7574610142040262D+09 (age_target - star_age)/age_sigma 204 416.0005462930 reducing max timestep prior to age target 204 2.7040035509045477D+09 (age_target - star_age)/age_sigma 205 407.9408056725 reducing max timestep prior to age target 205 2.6516152368710585D+09 (age_target - star_age)/age_sigma 206 400.0422598643 reducing max timestep prior to age target 206 2.6002746891182384D+09 (age_target - star_age)/age_sigma 207 392.3016849724 reducing max timestep prior to age target 207 2.5499609523204756D+09 (age_target - star_age)/age_sigma 208 384.7159215783 reducing max timestep prior to age target 208 2.5006534902586679D+09 (age_target - star_age)/age_sigma 209 377.2818734520 reducing max timestep prior to age target 209 2.4523321774380960D+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 1.9706173004813566D-13 log_rel_run_E_err -10.4166308157048793 (age_target - star_age)/age_sigma 210 369.9965062883 reducing max timestep prior to age target 210 2.4049772908739357D+09 (age_target - star_age)/age_sigma 211 362.8568464679 reducing max timestep prior to age target 211 2.3585695020410590D+09 (age_target - star_age)/age_sigma 212 355.8599798438 reducing max timestep prior to age target 212 2.3130898689848394D+09 (age_target - star_age)/age_sigma 213 349.0030505523 reducing max timestep prior to age target 213 2.2685198285897441D+09 (age_target - star_age)/age_sigma 214 342.2832598465 reducing max timestep prior to age target 214 2.2248411890025511D+09 (age_target - star_age)/age_sigma 215 335.6978649549 reducing max timestep prior to age target 215 2.1820361222071023D+09 (age_target - star_age)/age_sigma 217 322.7904909674 reducing max timestep prior to age target 217 2.0981381912880220D+09 (age_target - star_age)/age_sigma 218 316.4658777135 reducing max timestep prior to age target 218 2.0570282051376724D+09 (age_target - star_age)/age_sigma 219 310.2677567247 reducing max timestep prior to age target 219 2.0167404187103300D+09 220 7.160429 5640.405 -0.074267 -0.074267 1.000000 1.000000 0.516686 0.004873 0.253541 -1.602060 513 0 7.5964E+00 7.160429 -0.017065 -44.861720 -1.727167 -99.000000 0.000000 0.463708 0.008843 0.017705 0.100648 10 2.5922E+09 2.044804 -0.074195 -99.000000 -99.000000 -6.864196 0.000000 0.000016 0.001987 0.019606 0.000E+00 max_dt rel_E_err 1.7830920625070871D-13 log_rel_run_E_err -10.3969406806015332 (age_target - star_age)/age_sigma 220 304.1935981556 reducing max timestep prior to age target 220 1.9772583880115337D+09 (age_target - star_age)/age_sigma 221 298.2409227580 reducing max timestep prior to age target 221 1.9385659979267144D+09 (age_target - star_age)/age_sigma 222 292.4073008682 reducing max timestep prior to age target 222 1.9006474556435909D+09 (age_target - star_age)/age_sigma 223 286.6903514163 reducing max timestep prior to age target 223 1.8634872842061300D+09 (age_target - star_age)/age_sigma 224 281.0877409534 reducing max timestep prior to age target 224 1.8270703161974187D+09 (age_target - star_age)/age_sigma 225 275.5971826998 reducing max timestep prior to age target 225 1.7913816875488811D+09 (age_target - star_age)/age_sigma 226 270.2164356113 reducing max timestep prior to age target 226 1.7564068314733148D+09 (age_target - star_age)/age_sigma 227 264.9433034645 reducing max timestep prior to age target 227 1.7221314725192595D+09 (age_target - star_age)/age_sigma 228 259.7756339607 reducing max timestep prior to age target 228 1.6885416207442851D+09 (age_target - star_age)/age_sigma 229 254.7113178469 reducing max timestep prior to age target 229 1.6556235660048103D+09 230 7.165666 5648.192 -0.063027 -0.063027 1.000000 1.000000 0.488307 0.004915 0.251320 -1.589186 512 0 7.5087E+00 7.165666 -0.012644 -44.496276 -1.711756 -99.000000 0.000000 0.492045 0.008829 0.017567 0.103283 10 2.9461E+09 2.066060 -0.062957 -99.000000 -99.000000 -6.872147 0.000000 0.000017 0.001992 0.019647 0.000E+00 max_dt rel_E_err 1.9620386510474388D-13 log_rel_run_E_err -10.3781004757039774 (age_target - star_age)/age_sigma 230 249.7482880554 reducing max timestep prior to age target 230 1.6233638723601251D+09 (age_target - star_age)/age_sigma 231 244.8845188597 reducing max timestep prior to age target 231 1.5917493725883336D+09 (age_target - star_age)/age_sigma 232 240.1180250480 reducing max timestep prior to age target 232 1.5607671628119779D+09 (age_target - star_age)/age_sigma 233 235.4468611125 reducing max timestep prior to age target 233 1.5304045972311497D+09 (age_target - star_age)/age_sigma 234 230.8691204557 reducing max timestep prior to age target 234 1.5006492829619379D+09 (age_target - star_age)/age_sigma 235 226.3829346120 reducing max timestep prior to age target 235 1.4714890749781098D+09 (age_target - star_age)/age_sigma 236 221.9864724852 reducing max timestep prior to age target 236 1.4429120711539583D+09 (age_target - star_age)/age_sigma 237 217.6779396010 reducing max timestep prior to age target 237 1.4149066074062905D+09 (age_target - star_age)/age_sigma 238 213.4555773744 reducing max timestep prior to age target 238 1.3874612529335756D+09 (age_target - star_age)/age_sigma 239 209.3176623924 reducing max timestep prior to age target 239 1.3605648055503149D+09 240 7.170115 5654.413 -0.053654 -0.053654 1.000000 1.000000 0.464861 0.004956 0.249558 -1.578185 515 0 7.4209E+00 7.170115 -0.008915 -44.191056 -1.698424 -99.000000 0.000000 0.515459 0.008809 0.017458 0.105600 10 3.2353E+09 2.084061 -0.053586 -15.954590 -99.000000 -6.878799 0.000000 0.000017 0.001996 0.019680 0.000E+00 max_dt rel_E_err 1.8988839843864595D-13 log_rel_run_E_err -10.3600583398935289 (age_target - star_age)/age_sigma 240 205.2625057100 reducing max timestep prior to age target 240 1.3342062871147199D+09 (age_target - star_age)/age_sigma 241 201.2884521612 reducing max timestep prior to age target 241 1.3083749390478363D+09 (age_target - star_age)/age_sigma 242 197.3938796834 reducing max timestep prior to age target 242 1.2830602179422908D+09 (age_target - star_age)/age_sigma 243 193.5771986552 reducing max timestep prior to age target 243 1.2582517912588558D+09 (age_target - star_age)/age_sigma 244 189.8368512476 reducing max timestep prior to age target 244 1.2339395331090899D+09 (age_target - star_age)/age_sigma 245 186.1713107880 reducing max timestep prior to age target 245 1.2101135201223192D+09 (age_target - star_age)/age_sigma 246 182.5790811377 reducing max timestep prior to age target 246 1.1867640273952837D+09 (age_target - star_age)/age_sigma 247 179.0586960804 reducing max timestep prior to age target 247 1.1638815245227890D+09 (age_target - star_age)/age_sigma 248 175.6087187243 reducing max timestep prior to age target 248 1.1414566717077441D+09 (age_target - star_age)/age_sigma 249 172.2277409152 reducing max timestep prior to age target 249 1.1194803159489999D+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 1.7808351666821798D-13 log_rel_run_E_err -10.3422990873287457 (age_target - star_age)/age_sigma 250 168.9143826624 reducing max timestep prior to age target 250 1.0979434873054309D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 252 162.4202004868 reducing max timestep prior to age target 252 1.0557313031640363D+09 (age_target - star_age)/age_sigma 253 159.2380512207 reducing max timestep prior to age target 253 1.0350473329347525D+09 (age_target - star_age)/age_sigma 254 156.1195449400 reducing max timestep prior to age target 254 1.0147770421100545D+09 (age_target - star_age)/age_sigma 255 153.0634087849 reducing max timestep prior to age target 255 9.9491215710185051D+08 (age_target - star_age)/age_sigma 256 150.0683953529 reducing max timestep prior to age target 256 9.7544456979381037D+08 (age_target - star_age)/age_sigma 257 147.1332821895 reducing max timestep prior to age target 257 9.5636633423193169D+08 (age_target - star_age)/age_sigma 258 144.2568712894 reducing max timestep prior to age target 258 9.3766966338128996D+08 (age_target - star_age)/age_sigma 259 141.4379886073 reducing max timestep prior to age target 259 9.1934692594766092D+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 -15.954590 -99.000000 -6.889026 0.000000 0.000018 0.002001 0.019725 0.000E+00 max_dt rel_E_err 1.8772924563619105D-13 log_rel_run_E_err -10.3251234693196707 (age_target - star_age)/age_sigma 260 138.6754835789 reducing max timestep prior to age target 260 9.0139064326270485D+08 (age_target - star_age)/age_sigma 261 135.9682286510 reducing max timestep prior to age target 261 8.8379348623144770D+08 (age_target - star_age)/age_sigma 262 133.3151188217 reducing max timestep prior to age target 262 8.6654827234081554D+08 (age_target - star_age)/age_sigma 263 130.7150711889 reducing max timestep prior to age target 263 8.4964796272799635D+08 (age_target - star_age)/age_sigma 264 128.1670245088 reducing max timestep prior to age target 264 8.3308565930743361D+08 (age_target - star_age)/age_sigma 265 125.6699387624 reducing max timestep prior to age target 265 8.1685460195528221D+08 (age_target - star_age)/age_sigma 266 123.2227947308 reducing max timestep prior to age target 266 8.0094816575017357D+08 (age_target - star_age)/age_sigma 267 120.8245935799 reducing max timestep prior to age target 267 7.8535985826916742D+08 (age_target - star_age)/age_sigma 268 118.4743564520 reducing max timestep prior to age target 268 7.7008331693778086D+08 (age_target - star_age)/age_sigma 269 116.1711240666 reducing max timestep prior to age target 269 7.5511230643302202D+08 270 7.179778 5666.608 -0.033840 -0.033840 1.000000 1.000000 0.415891 0.005064 0.245807 -1.554074 522 0 7.1665E+00 7.179778 -0.000882 -43.543346 -1.668708 -99.000000 0.000000 0.564369 0.008737 0.017225 0.110908 10 3.8291E+09 2.123020 -0.033778 -15.352530 -99.000000 -6.892913 0.000000 0.000018 0.002003 0.019740 0.000E+00 max_dt rel_E_err 1.8500269114412693D-13 log_rel_run_E_err -10.3087092651682433 (age_target - star_age)/age_sigma 270 113.9139563290 reducing max timestep prior to age target 270 7.4044071613835859D+08 (age_target - star_age)/age_sigma 271 111.7019319461 reducing max timestep prior to age target 271 7.2606255764958858D+08 (age_target - star_age)/age_sigma 272 109.5341480509 reducing max timestep prior to age target 272 7.1197196233059406D+08 (age_target - star_age)/age_sigma 273 107.4097198335 reducing max timestep prior to age target 273 6.9816317891797924D+08 (age_target - star_age)/age_sigma 274 105.3277801806 reducing max timestep prior to age target 274 6.8463057117361689D+08 (age_target - star_age)/age_sigma 275 103.2874793206 reducing max timestep prior to age target 275 6.7136861558414125D+08 (age_target - star_age)/age_sigma 276 101.2879844779 reducing max timestep prior to age target 276 6.5837189910645533D+08 (age_target - star_age)/age_sigma 277 99.3284795320 reducing max timestep prior to age target 277 6.4563511695832348D+08 (age_target - star_age)/age_sigma 278 97.4081646851 reducing max timestep prior to age target 278 6.3315307045315409D+08 (age_target - star_age)/age_sigma 279 95.5262561351 reducing max timestep prior to age target 279 6.2092066487808752D+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 -15.255620 -99.000000 -6.896095 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.9021179477441399D-13 log_rel_run_E_err -10.2923995699877917 (age_target - star_age)/age_sigma 280 93.6819857561 reducing max timestep prior to age target 280 6.0893290741452265D+08 (age_target - star_age)/age_sigma 281 91.8746007847 reducing max timestep prior to age target 281 5.9718490510022926D+08 (age_target - star_age)/age_sigma 282 90.1033635126 reducing max timestep prior to age target 282 5.8567186283222151D+08 (age_target - star_age)/age_sigma 283 88.3675509861 reducing max timestep prior to age target 283 5.7438908140957403D+08 (age_target - star_age)/age_sigma 284 86.6664547101 reducing max timestep prior to age target 284 5.6333195561537981D+08 (age_target - star_age)/age_sigma 285 84.9993803595 reducing max timestep prior to age target 285 5.5249597233706903D+08 (age_target - star_age)/age_sigma 287 81.7319146326 reducing max timestep prior to age target 287 5.3125744511158037D+08 (age_target - star_age)/age_sigma 288 80.1308564263 reducing max timestep prior to age target 288 5.2085056677109146D+08 (age_target - star_age)/age_sigma 289 78.5618193842 reducing max timestep prior to age target 289 5.1065182599741173D+08 290 7.183903 5671.155 -0.025640 -0.025640 1.000000 1.000000 0.395759 0.005121 0.244356 -1.543695 522 0 6.9998E+00 7.183903 0.002520 -43.272676 -1.655741 -99.000000 0.000000 0.584480 0.008692 0.017135 0.113297 5 4.0688E+09 2.139607 -0.025580 -99.000000 -99.000000 -6.898729 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.8391758452804041D-13 log_rel_run_E_err -10.2769290760995027 (age_target - star_age)/age_sigma 290 77.0241630830 reducing max timestep prior to age target 290 5.0065706003920555D+08 (age_target - star_age)/age_sigma 291 75.5172599077 reducing max timestep prior to age target 291 4.9086218940016365D+08 (age_target - star_age)/age_sigma 292 74.0404947960 reducing max timestep prior to age target 292 4.8126321617390251D+08 (age_target - star_age)/age_sigma 293 72.5932649865 reducing max timestep prior to age target 293 4.7185622241216660D+08 (age_target - star_age)/age_sigma 294 71.1749797732 reducing max timestep prior to age target 294 4.6263736852566528D+08 (age_target - star_age)/age_sigma 295 69.7850602641 reducing max timestep prior to age target 295 4.5360289171689415D+08 (age_target - star_age)/age_sigma 296 68.4229391453 reducing max timestep prior to age target 296 4.4474910444429827D+08 (age_target - star_age)/age_sigma 297 67.0880604488 reducing max timestep prior to age target 297 4.3607239291715479D+08 (age_target - star_age)/age_sigma 298 65.7798793262 reducing max timestep prior to age target 298 4.2756921562055349D+08 (age_target - star_age)/age_sigma 299 64.4978618261 reducing max timestep prior to age target 299 4.1923610186988449D+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 -15.477469 -99.000000 -6.900918 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.9662921840979574D-13 log_rel_run_E_err -10.2617729057389386 (age_target - star_age)/age_sigma 300 63.2414846760 reducing max timestep prior to age target 300 4.1106965039422941D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0102350689 reducing max timestep prior to age target 301 4.0306652794808674D+08 (age_target - star_age)/age_sigma 302 60.8036104540 reducing max timestep prior to age target 302 3.9522346795086718D+08 (age_target - star_age)/age_sigma 303 59.6211183313 reducing max timestep prior to age target 303 3.8753726915359211D+08 (age_target - star_age)/age_sigma 304 58.4622760511 reducing max timestep prior to age target 304 3.8000479433226204D+08 (age_target - star_age)/age_sigma 305 57.3266106165 reducing max timestep prior to age target 305 3.7262296900735855D+08 (age_target - star_age)/age_sigma 306 56.2136584906 reducing max timestep prior to age target 306 3.6538878018895388D+08 (age_target - star_age)/age_sigma 307 55.1229654072 reducing max timestep prior to age target 307 3.5829927514691639D+08 (age_target - star_age)/age_sigma 308 54.0540861855 reducing max timestep prior to age target 308 3.5135156020572042D+08 (age_target - star_age)/age_sigma 309 53.0065845482 reducing max timestep prior to age target 309 3.4454279956334829D+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 -15.255620 -99.000000 -6.902721 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.8568389165877058D-13 log_rel_run_E_err -10.2468548226875278 (age_target - star_age)/age_sigma 310 51.9800329437 reducing max timestep prior to age target 310 3.3787021413382339D+08 (age_target - star_age)/age_sigma 311 50.9740123712 reducing max timestep prior to age target 311 3.3133108041288900D+08 (age_target - star_age)/age_sigma 312 49.9881122102 reducing max timestep prior to age target 312 3.2492272936637354D+08 (age_target - star_age)/age_sigma 313 49.0219300524 reducing max timestep prior to age target 313 3.1864254534078836D+08 (age_target - star_age)/age_sigma 314 48.0750715378 reducing max timestep prior to age target 314 3.1248796499571466D+08 (age_target - star_age)/age_sigma 315 47.1471501935 reducing max timestep prior to age target 315 3.0645647625754261D+08 (age_target - star_age)/age_sigma 316 46.2377872760 reducing max timestep prior to age target 316 3.0054561729413366D+08 (age_target - star_age)/age_sigma 317 45.3466116169 reducing max timestep prior to age target 317 2.9475297550999308D+08 (age_target - star_age)/age_sigma 318 44.4732594710 reducing max timestep prior to age target 318 2.8907618656153536D+08 (age_target - star_age)/age_sigma 319 43.6173743680 reducing max timestep prior to age target 319 2.8351293339204645D+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 -15.477469 -99.000000 -6.904202 0.000000 0.000020 0.002009 0.019779 0.000E+00 max_dt rel_E_err 1.6900477626345509D-13 log_rel_run_E_err -10.2327994276591880 (age_target - star_age)/age_sigma 321 41.9398395661 reducing max timestep prior to age target 321 2.7260895717984867D+08 (age_target - star_age)/age_sigma 322 41.1178475132 reducing max timestep prior to age target 322 2.6726600883587170D+08 (age_target - star_age)/age_sigma 323 40.3122953013 reducing max timestep prior to age target 323 2.6202991945877457D+08 (age_target - star_age)/age_sigma 324 39.5228541337 reducing max timestep prior to age target 324 2.5689855186921978D+08 (age_target - star_age)/age_sigma 325 38.7492017895 reducing max timestep prior to age target 325 2.5186981163145542D+08 (age_target - star_age)/age_sigma 326 37.9910224921 reducing max timestep prior to age target 326 2.4694164619844627D+08 (age_target - star_age)/age_sigma 327 37.2480067806 reducing max timestep prior to age target 327 2.4211204407409763D+08 (age_target - star_age)/age_sigma 328 36.5198513834 reducing max timestep prior to age target 328 2.3737903399223614D+08 (age_target - star_age)/age_sigma 329 35.8062590942 reducing max timestep prior to age target 329 2.3274068411201191D+08 330 7.188764 5676.059 -0.016170 -0.016170 1.000000 1.000000 0.372600 0.005198 0.242666 -1.531495 522 0 6.6576E+00 7.188764 0.006503 -42.957777 -1.640246 -99.000000 0.000000 0.607618 0.008625 0.017029 0.116210 5 4.3413E+09 2.159068 -0.016113 -99.000000 -99.000000 -6.905439 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 2.0198845217670094D-13 log_rel_run_E_err -10.2190551332614135 (age_target - star_age)/age_sigma 330 35.1069386507 reducing max timestep prior to age target 330 2.2819510122939110D+08 (age_target - star_age)/age_sigma 331 34.4216046161 reducing max timestep prior to age target 331 2.2374043000442410D+08 (age_target - star_age)/age_sigma 332 33.7499772621 reducing max timestep prior to age target 332 2.1937485220395565D+08 (age_target - star_age)/age_sigma 333 33.0917824553 reducing max timestep prior to age target 333 2.1509658595949650D+08 (age_target - star_age)/age_sigma 334 32.4467515446 reducing max timestep prior to age target 334 2.1090388503992653D+08 (age_target - star_age)/age_sigma 335 31.8146212521 reducing max timestep prior to age target 335 2.0679503813874817D+08 (age_target - star_age)/age_sigma 336 31.1951335655 reducing max timestep prior to age target 336 2.0276836817559338D+08 (age_target - star_age)/age_sigma 337 30.5880356326 reducing max timestep prior to age target 337 1.9882223161170197D+08 (age_target - star_age)/age_sigma 338 29.9930796583 reducing max timestep prior to age target 338 1.9495501777908802D+08 (age_target - star_age)/age_sigma 339 29.4100228036 reducing max timestep prior to age target 339 1.9116514822312641D+08 340 7.189507 5676.767 -0.014740 -0.014740 1.000000 1.000000 0.369110 0.005210 0.242411 -1.529633 522 0 6.5699E+00 7.189507 0.007109 -42.909981 -1.637856 -99.000000 0.000000 0.611105 0.008614 0.017014 0.116665 5 4.3820E+09 2.162036 -0.014684 -15.653560 -99.000000 -6.906452 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt rel_E_err 1.9385295451979470D-13 log_rel_run_E_err -10.2057290092399064 (age_target - star_age)/age_sigma 340 28.8386270859 reducing max timestep prior to age target 340 1.8745107605828381D+08 (age_target - star_age)/age_sigma 341 28.2786592826 reducing max timestep prior to age target 341 1.8381128533673859D+08 (age_target - star_age)/age_sigma 342 27.7298908353 reducing max timestep prior to age target 342 1.8024429042962360D+08 (age_target - star_age)/age_sigma 343 27.1920977570 reducing max timestep prior to age target 343 1.7674863542065144D+08 (age_target - star_age)/age_sigma 344 26.6650605403 reducing max timestep prior to age target 344 1.7332289351185799D+08 (age_target - star_age)/age_sigma 345 26.1485640679 reducing max timestep prior to age target 345 1.6996566644124126D+08 (age_target - star_age)/age_sigma 346 25.6423975249 reducing max timestep prior to age target 346 1.6667558391203690D+08 (age_target - star_age)/age_sigma 347 25.1463543128 reducing max timestep prior to age target 347 1.6345130303341675D+08 (age_target - star_age)/age_sigma 348 24.6602319650 reducing max timestep prior to age target 348 1.6029150777236843D+08 (age_target - star_age)/age_sigma 349 24.1838320641 reducing max timestep prior to age target 349 1.5719490841654110D+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 1.8828363737872245D-13 log_rel_run_E_err -10.1930392843480959 (age_target - star_age)/age_sigma 350 23.7169601612 reducing max timestep prior to age target 350 1.5416024104783058D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2594256964 reducing max timestep prior to age target 351 1.5118626702649403D+08 (age_target - star_age)/age_sigma 352 22.8110419209 reducing max timestep prior to age target 352 1.4827177248558426D+08 (age_target - star_age)/age_sigma 353 22.3716258208 reducing max timestep prior to age target 353 1.4541556783549309D+08 (age_target - star_age)/age_sigma 354 21.9409980428 reducing max timestep prior to age target 354 1.4261648727840328D+08 (age_target - star_age)/age_sigma 355 21.5189828204 reducing max timestep prior to age target 355 1.3987338833245564D+08 (age_target - star_age)/age_sigma 357 20.6918329844 reducing max timestep prior to age target 357 1.3449691439839745D+08 (age_target - star_age)/age_sigma 358 20.2865295647 reducing max timestep prior to age target 358 1.3186244217070866D+08 (age_target - star_age)/age_sigma 359 19.8893322135 reducing max timestep prior to age target 359 1.2928065938757420D+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 -15.653560 -99.000000 -6.907962 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.9911961867079695D-13 log_rel_run_E_err -10.1803785962191977 (age_target - star_age)/age_sigma 360 19.5000788092 reducing max timestep prior to age target 360 1.2675051226010227D+08 (age_target - star_age)/age_sigma 361 19.1186104731 reducing max timestep prior to age target 361 1.2427096807518005D+08 (age_target - star_age)/age_sigma 362 18.7447715037 reducing max timestep prior to age target 362 1.2184101477395630D+08 (age_target - star_age)/age_sigma 363 18.3784093137 reducing max timestep prior to age target 363 1.1945966053875637D+08 (age_target - star_age)/age_sigma 364 18.0193743674 reducing max timestep prior to age target 364 1.1712593338826084D+08 (age_target - star_age)/age_sigma 365 17.6675201201 reducing max timestep prior to age target 365 1.1483888078077507D+08 (age_target - star_age)/age_sigma 366 17.3227029578 reducing max timestep prior to age target 366 1.1259756922543907D+08 (age_target - star_age)/age_sigma 367 16.9847821386 reducing max timestep prior to age target 367 1.1040108390120983D+08 (age_target - star_age)/age_sigma 368 16.6536197359 reducing max timestep prior to age target 368 1.0824852828346539D+08 (age_target - star_age)/age_sigma 369 16.3290805812 reducing max timestep prior to age target 369 1.0613902377807617D+08 370 7.191042 5678.192 -0.011803 -0.011803 1.000000 1.000000 0.361943 0.005238 0.241895 -1.525790 522 0 6.3154E+00 7.191042 0.008359 -42.811575 -1.632903 -99.000000 0.000000 0.618266 0.008589 0.016981 0.117614 5 4.4654E+09 2.168159 -0.011748 -15.653560 -99.000000 -6.908527 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.8887671655094854D-13 log_rel_run_E_err -10.1679660847149957 (age_target - star_age)/age_sigma 370 16.0110322097 reducing max timestep prior to age target 370 1.0407170936279392D+08 (age_target - star_age)/age_sigma 371 15.6993448055 reducing max timestep prior to age target 371 1.0204574123581791D+08 (age_target - star_age)/age_sigma 372 15.3938911494 reducing max timestep prior to age target 372 1.0006029247138119D+08 (age_target - star_age)/age_sigma 373 15.0945465665 reducing max timestep prior to age target 373 9.8114552682232857D+07 (age_target - star_age)/age_sigma 374 14.8011888752 reducing max timestep prior to age target 374 9.6207727688867569D+07 (age_target - star_age)/age_sigma 375 14.5136983377 reducing max timestep prior to age target 375 9.4339039195369720D+07 (age_target - star_age)/age_sigma 376 14.2319576110 reducing max timestep prior to age target 376 9.2507724471742630D+07 (age_target - star_age)/age_sigma 377 13.9558516989 reducing max timestep prior to age target 377 9.0713036042587280D+07 (age_target - star_age)/age_sigma 378 13.6852679049 reducing max timestep prior to age target 378 8.8954241382015228D+07 (age_target - star_age)/age_sigma 379 13.4200957869 reducing max timestep prior to age target 379 8.7230622614654541D+07 380 7.191386 5678.505 -0.011148 -0.011148 1.000000 1.000000 0.360346 0.005244 0.241781 -1.524930 522 0 6.2277E+00 7.191386 0.008638 -42.789595 -1.631791 -99.000000 0.000000 0.619862 0.008583 0.016974 0.117828 5 4.4840E+09 2.169529 -0.011094 -99.000000 -99.000000 -6.908990 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.8481438764260382D-13 log_rel_run_E_err -10.1561955343560992 (age_target - star_age)/age_sigma 380 13.1602271112 reducing max timestep prior to age target 380 8.5541476222640991D+07 (age_target - star_age)/age_sigma 381 12.9055558090 reducing max timestep prior to age target 381 8.3886112758467674D+07 (age_target - star_age)/age_sigma 382 12.6559779329 reducing max timestep prior to age target 382 8.2263856563577652D+07 (age_target - star_age)/age_sigma 383 12.4113916142 reducing max timestep prior to age target 383 8.0674045492586136D+07 (age_target - star_age)/age_sigma 384 12.1716970220 reducing max timestep prior to age target 384 7.9116030643013954D+07 (age_target - star_age)/age_sigma 385 11.9367963216 reducing max timestep prior to age target 385 7.7589176090433121D+07 (age_target - star_age)/age_sigma 386 11.7065936352 reducing max timestep prior to age target 386 7.6092858628903389D+07 (age_target - star_age)/age_sigma 387 11.4809950026 reducing max timestep prior to age target 387 7.4626467516605377D+07 (age_target - star_age)/age_sigma 388 11.2599083425 reducing max timestep prior to age target 388 7.3189404226552963D+07 (age_target - star_age)/age_sigma 389 11.0432434157 reducing max timestep prior to age target 389 7.1781082202301025D+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 -15.109492 -99.000000 -6.909369 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 2.0587828698873059D-13 log_rel_run_E_err -10.1445218653312903 (age_target - star_age)/age_sigma 391 10.6185801592 reducing max timestep prior to age target 391 6.9020771034768105D+07 (age_target - star_age)/age_sigma 392 10.4104951635 reducing max timestep prior to age target 392 6.7668218562677383D+07 (age_target - star_age)/age_sigma 393 10.2065718677 reducing max timestep prior to age target 393 6.6342717140028000D+07 (age_target - star_age)/age_sigma 394 10.0067270378 reducing max timestep prior to age target 394 6.5043725745831490D+07 (age_target - star_age)/age_sigma 395 9.8108791045 reducing max timestep prior to age target 395 6.3770714179519653D+07 (age_target - star_age)/age_sigma 396 9.6189481299 reducing max timestep prior to age target 396 6.2523162844532967D+07 (age_target - star_age)/age_sigma 397 9.4308557748 reducing max timestep prior to age target 397 6.1300562536246300D+07 (age_target - star_age)/age_sigma 398 9.2465252668 reducing max timestep prior to age target 398 6.0102414234126091D+07 (age_target - star_age)/age_sigma 399 9.0658813689 reducing max timestep prior to age target 399 5.8928228898047447D+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 -99.000000 -99.000000 -6.909684 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.8159624787748399D-13 log_rel_run_E_err -10.1332690547496842 (age_target - star_age)/age_sigma 400 8.8888503490 reducing max timestep prior to age target 400 5.7777527268691063D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7153599495 reducing max timestep prior to age target 401 5.6649839671921730D+07 (age_target - star_age)/age_sigma 402 8.5453393580 reducing max timestep prior to age target 402 5.5544705827087402D+07 (age_target - star_age)/age_sigma 403 8.3787191783 reducing max timestep prior to age target 403 5.4461674659149170D+07 (age_target - star_age)/age_sigma 404 8.2154314022 reducing max timestep prior to age target 404 5.3400304114570618D+07 (age_target - star_age)/age_sigma 405 8.0554093817 reducing max timestep prior to age target 405 5.2360160980883598D+07 (age_target - star_age)/age_sigma 406 7.8985878015 reducing max timestep prior to age target 406 5.1340820709870338D+07 (age_target - star_age)/age_sigma 407 7.7449026530 reducing max timestep prior to age target 407 5.0341867244277000D+07 (age_target - star_age)/age_sigma 408 7.5942912074 reducing max timestep prior to age target 408 4.9362892847995758D+07 (age_target - star_age)/age_sigma 409 7.4466919907 reducing max timestep prior to age target 409 4.8403497939640045D+07 410 7.192095 5679.142 -0.009800 -0.009800 1.000000 1.000000 0.357059 0.005258 0.241548 -1.523156 522 0 5.9732E+00 7.192095 0.009214 -42.744292 -1.629492 -99.000000 0.000000 0.623146 0.008570 0.016960 0.118272 3 4.5220E+09 2.172354 -0.009748 -99.000000 -99.000000 -6.909940 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.7690412073262848D-13 log_rel_run_E_err -10.1223332124080674 (age_target - star_age)/age_sigma 410 7.3020447584 reducing max timestep prior to age target 410 4.7463290929451942D+07 (age_target - star_age)/age_sigma 411 7.1602904707 reducing max timestep prior to age target 411 4.6541888059467316D+07 (age_target - star_age)/age_sigma 412 7.0213712688 reducing max timestep prior to age target 412 4.5638913246882439D+07 (age_target - star_age)/age_sigma 413 6.8852304509 reducing max timestep prior to age target 413 4.4753997930548668D+07 (age_target - star_age)/age_sigma 414 6.7518124493 reducing max timestep prior to age target 414 4.3886780920541763D+07 (age_target - star_age)/age_sigma 415 6.6210628078 reducing max timestep prior to age target 415 4.3036908250735283D+07 (age_target - star_age)/age_sigma 416 6.4929281591 reducing max timestep prior to age target 416 4.2204033034324646D+07 (age_target - star_age)/age_sigma 417 6.3673562034 reducing max timestep prior to age target 417 4.1387815322242737D+07 (age_target - star_age)/age_sigma 418 6.2442956868 reducing max timestep prior to age target 418 4.0587921964402199D+07 (age_target - star_age)/age_sigma 419 6.1236963806 reducing max timestep prior to age target 419 3.9804026473718643D+07 420 7.192253 5679.282 -0.009502 -0.009502 1.000000 1.000000 0.356331 0.005261 0.241496 -1.522762 522 0 5.8855E+00 7.192253 0.009342 -42.734247 -1.628981 -99.000000 0.000000 0.623874 0.008568 0.016956 0.118370 3 4.5305E+09 2.172982 -0.009448 -15.352530 -99.000000 -6.910151 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 2.0606056491894140D-13 log_rel_run_E_err -10.1115331950789962 (age_target - star_age)/age_sigma 420 6.0055090604 reducing max timestep prior to age target 420 3.9035808892848969D+07 (age_target - star_age)/age_sigma 421 5.8896854867 reducing max timestep prior to age target 421 3.8282955663596153D+07 (age_target - star_age)/age_sigma 422 5.7761783845 reducing max timestep prior to age target 422 3.7545159498928070D+07 (age_target - star_age)/age_sigma 423 5.6649414242 reducing max timestep prior to age target 423 3.6822119257554054D+07 (age_target - star_age)/age_sigma 424 5.5559292032 reducing max timestep prior to age target 424 3.6113539821006775D+07 (age_target - star_age)/age_sigma 426 5.3422652501 reducing max timestep prior to age target 426 3.4724724125374794D+07 (age_target - star_age)/age_sigma 427 5.2375699130 reducing max timestep prior to age target 427 3.4044204434514999D+07 (age_target - star_age)/age_sigma 428 5.1349684827 reducing max timestep prior to age target 428 3.3377295137472153D+07 (age_target - star_age)/age_sigma 429 5.0344190810 reducing max timestep prior to age target 429 3.2723724026371002D+07 430 7.192383 5679.397 -0.009255 -0.009255 1.000000 1.000000 0.355730 0.005263 0.241454 -1.522436 522 0 5.8073E+00 7.192383 0.009448 -42.725951 -1.628559 -99.000000 0.000000 0.624475 0.008565 0.016954 0.118452 3 4.5374E+09 2.173500 -0.009202 -99.000000 -99.000000 -6.910325 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8157422822026198D-13 log_rel_run_E_err -10.1012754226270012 (age_target - star_age)/age_sigma 430 4.9357049814 remaining steps and years until age target 430 50 3.2082082378795624D+07 (age_target - star_age)/age_sigma 431 4.8369908817 reducing max timestep prior to age target 431 3.1440440731219292D+07 (age_target - star_age)/age_sigma 432 4.7382767821 remaining steps and years until age target 432 48 3.0798799083643913D+07 (age_target - star_age)/age_sigma 433 4.6395626825 remaining steps and years until age target 433 47 3.0157157436068535D+07 (age_target - star_age)/age_sigma 434 4.5408485828 reducing max timestep prior to age target 434 2.9515515788492203D+07 (age_target - star_age)/age_sigma 435 4.4421344832 remaining steps and years until age target 435 45 2.8873874140916824D+07 (age_target - star_age)/age_sigma 436 4.3434203836 reducing max timestep prior to age target 436 2.8232232493340492D+07 (age_target - star_age)/age_sigma 437 4.2447062840 remaining steps and years until age target 437 43 2.7590590845765114D+07 (age_target - star_age)/age_sigma 438 4.1459921843 remaining steps and years until age target 438 42 2.6948949198189735D+07 (age_target - star_age)/age_sigma 439 4.0472780847 reducing max timestep prior to age target 439 2.6307307550613403D+07 440 7.192503 5679.504 -0.009028 -0.009028 1.000000 1.000000 0.355175 0.005265 0.241415 -1.522135 522 0 5.8073E+00 7.192503 0.009545 -42.718292 -1.628169 -99.000000 0.000000 0.625030 0.008563 0.016951 0.118528 3 4.5438E+09 2.173979 -0.008975 -99.000000 -99.000000 -6.910485 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8327156898008589D-13 log_rel_run_E_err -10.0913131987831424 (age_target - star_age)/age_sigma 440 3.9485639851 remaining steps and years until age target 440 40 2.5665665903038025D+07 (age_target - star_age)/age_sigma 441 3.8498498855 remaining steps and years until age target 441 39 2.5024024255462646D+07 (age_target - star_age)/age_sigma 442 3.7511357858 reducing max timestep prior to age target 442 2.4382382607886314D+07 (age_target - star_age)/age_sigma 443 3.6524216862 remaining steps and years until age target 443 37 2.3740740960310936D+07 (age_target - star_age)/age_sigma 444 3.5537075866 reducing max timestep prior to age target 444 2.3099099312734604D+07 (age_target - star_age)/age_sigma 445 3.4549934869 remaining steps and years until age target 445 35 2.2457457665159225D+07 (age_target - star_age)/age_sigma 446 3.3562793873 remaining steps and years until age target 446 34 2.1815816017583847D+07 (age_target - star_age)/age_sigma 447 3.2575652877 reducing max timestep prior to age target 447 2.1174174370007515D+07 (age_target - star_age)/age_sigma 448 3.1588511881 reducing max timestep prior to age target 448 2.0532532722431183D+07 (age_target - star_age)/age_sigma 449 3.0601370884 remaining steps and years until age target 449 31 1.9890891074855804D+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 1.7879609123803506D-13 log_rel_run_E_err -10.0814177063810231 (age_target - star_age)/age_sigma 450 2.9614229888 reducing max timestep prior to age target 450 1.9249249427279472D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8627088892 remaining steps and years until age target 451 29 1.8607607779704094D+07 (age_target - star_age)/age_sigma 452 2.7639947896 reducing max timestep prior to age target 452 1.7965966132127762D+07 (age_target - star_age)/age_sigma 453 2.6652806899 reducing max timestep prior to age target 453 1.7324324484551430D+07 (age_target - star_age)/age_sigma 454 2.5665665903 remaining steps and years until age target 454 26 1.6682682836976051D+07 (age_target - star_age)/age_sigma 455 2.4678524907 reducing max timestep prior to age target 455 1.6041041189399719D+07 (age_target - star_age)/age_sigma 456 2.3691383910 reducing max timestep prior to age target 456 1.5399399541823387D+07 (age_target - star_age)/age_sigma 457 2.2704242914 reducing max timestep prior to age target 457 1.4757757894247055D+07 (age_target - star_age)/age_sigma 458 2.1717101918 remaining steps and years until age target 458 22 1.4116116246671677D+07 (age_target - star_age)/age_sigma 459 2.0729960922 remaining steps and years until age target 459 21 1.3474474599096298D+07 460 7.192743 5679.717 -0.008572 -0.008572 1.000000 1.000000 0.354064 0.005270 0.241337 -1.521532 522 0 5.8073E+00 7.192743 0.009740 -42.702957 -1.627387 -99.000000 0.000000 0.626139 0.008559 0.016946 0.118679 3 4.5567E+09 2.174937 -0.008519 -99.000000 -99.000000 -6.910805 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 2.0560925819606315D-13 log_rel_run_E_err -10.0715426450671615 (age_target - star_age)/age_sigma 460 1.9742819925 reducing max timestep prior to age target 460 1.2832832951519966D+07 (age_target - star_age)/age_sigma 461 1.8755678929 reducing max timestep prior to age target 461 1.2191191303943634D+07 (age_target - star_age)/age_sigma 462 1.7768537933 remaining steps and years until age target 462 18 1.1549549656368256D+07 (age_target - star_age)/age_sigma 463 1.6781396937 reducing max timestep prior to age target 463 1.0907908008791924D+07 (age_target - star_age)/age_sigma 464 1.5794255940 reducing max timestep prior to age target 464 1.0266266361215591D+07 (age_target - star_age)/age_sigma 465 1.4807114944 reducing max timestep prior to age target 465 9.6246247136392593D+06 (age_target - star_age)/age_sigma 466 1.3819973948 remaining steps and years until age target 466 14 8.9829830660638809D+06 (age_target - star_age)/age_sigma 467 1.2832832952 reducing max timestep prior to age target 467 8.3413414184875488D+06 (age_target - star_age)/age_sigma 468 1.1845691955 remaining steps and years until age target 468 12 7.6996997709121704D+06 (age_target - star_age)/age_sigma 469 1.0858550959 reducing max timestep prior to age target 469 7.0580581233358383D+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 1.9240696726331597D-13 log_rel_run_E_err -10.0619164845304407 (age_target - star_age)/age_sigma 470 0.9871409963 reducing max timestep prior to age target 470 6.4164164757595062D+06 (age_target - star_age)/age_sigma 471 0.8884268966 remaining steps and years until age target 471 9 5.7747748281841278D+06 (age_target - star_age)/age_sigma 472 0.7897127970 reducing max timestep prior to age target 472 5.1331331806077957D+06 (age_target - star_age)/age_sigma 473 0.6909986974 remaining steps and years until age target 473 7 4.4914915330324173D+06 (age_target - star_age)/age_sigma 474 0.5922845978 reducing max timestep prior to age target 474 3.8498498854560852D+06 (age_target - star_age)/age_sigma 475 0.4935704981 reducing max timestep prior to age target 475 3.2082082378797531D+06 (age_target - star_age)/age_sigma 476 0.3948563985 remaining steps and years until age target 476 4 2.5665665903043747D+06 (age_target - star_age)/age_sigma 477 0.2961422989 reducing max timestep prior to age target 477 1.9249249427280426D+06 (age_target - star_age)/age_sigma 478 0.1974281993 remaining steps and years until age target 478 2 1.2832832951526642D+06 (age_target - star_age)/age_sigma 479 0.0987140996 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 1.8920864139762901D-13 log_rel_run_E_err -10.0525277813696476 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 3.04 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 1.8920864139762901D-13 log_rel_run_E_err -10.0525277813696476 Teff 5679.9294383767 radius 1.0231407131 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 535.4926038606 M_H -0.0017395982 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 3.0262018765 log_R 0.0099353666 delta_nu 136.8076227271 nu_max 2964.0776267829 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 333512.8396019124 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 "8f7f3a3" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251201" "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 3.3351283960191236E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383766992E+03 1.0231407131234238E+00 -1.7395981939735516E-03 9.9353665865795134E-03 1.3680762272705050E+02 2.9640776267829306E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191236E+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 -28.597850 -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 3.9562807330739613D-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 1.8246323735112702D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -21.674160 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692958677860449D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 6.9812046894104329D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.8350000000000005D-05 initial_he4 2.8347165000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.630489 4379.911 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 0 -4.2874E+00 6.630489 0.258223 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 10 2.5959E-04 0.169401 0.037000 -99.000000 -99.000000 -6.905533 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6177474588986315D-13 log_rel_run_E_err -11.5813083226310169 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 2.7117651486787995D-13 log_rel_run_E_err -11.2775847597942231 solver rejected trial model s% model_number 24 s% solver_call_number 141 nz 458 s% num_retries 0 dt 2.0906080877547709D+04 log dt/secyer -3.1788313409046292D+00 retry: max residual jumped -- give up in solver 24 30 6.630489 4383.871 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 1 -3.0840E+00 6.630489 0.258235 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 5 6.8828E-03 0.169401 0.038595 -20.771070 -99.000000 -6.907161 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5476950595959059D-13 log_rel_run_E_err -11.0993797980756685 40 6.630489 4384.208 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 1 -2.2921E+00 6.630489 0.258237 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 2 3.2558E-02 0.169401 0.038732 -99.000000 -99.000000 -6.907300 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6693650015148020D-13 log_rel_run_E_err -10.9730493259568664 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 2.8610872814498355D-13 log_rel_run_E_err -10.8751382252533251 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 -19.992918 -99.000000 -6.907293 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.4536769389083479D-13 log_rel_run_E_err -10.7947964969883028 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 2.3504396967623675D-13 log_rel_run_E_err -10.7302160311981520 80 6.630490 4383.985 -4.848096 -4.848096 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035186 458 1 8.7511E-01 6.630490 0.258221 -99.000000 -6.245843 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3 4.5007E+01 0.169409 0.038612 -20.771070 -99.000000 -6.907190 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5255562003917127D-13 log_rel_run_E_err -10.6723911136580583 90 6.630498 4383.807 -4.847969 -4.847969 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035115 458 1 1.6669E+00 6.630498 0.258190 -99.000000 -6.245715 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071722 10 2.7866E+02 0.169452 0.038480 -19.925972 -99.000000 -6.907082 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.9586683664836427D-13 log_rel_run_E_err -10.6194476650219443 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.630567 4383.681 -4.847101 -4.847101 1.000000 1.000000 0.698120 0.000928 0.283500 -4.034678 458 1 2.4587E+00 6.630567 0.258094 -99.000000 -6.244847 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071727 3 1.7254E+03 0.169745 0.038237 -20.470040 -99.000000 -6.906915 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.4537958446486815D-13 log_rel_run_E_err -10.5572424135621308 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.631019 4383.144 -4.841781 -4.841781 1.000000 1.000000 0.698120 0.000928 0.283500 -4.031971 458 1 3.2505E+00 6.631019 0.257531 -99.000000 -6.239527 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071754 2 1.0683E+04 0.171590 0.036899 -20.169010 -99.000000 -6.906027 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7203200117637912D-13 log_rel_run_E_err -10.4873413351924025 120 6.633763 4379.859 -4.809449 -4.809449 1.000000 1.000000 0.698120 0.000928 0.283500 -4.015419 458 1 4.0424E+00 6.633763 0.254107 -99.000000 -6.207192 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071921 2 6.6147E+04 0.182852 0.028749 -99.000000 -99.000000 -6.900603 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 7.3571495833628381D-14 log_rel_run_E_err -10.4576052970335418 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 -20.169010 -99.000000 -6.869567 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.8714332794241380D-12 log_rel_run_E_err -10.3802023795258069 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 2.7130622120221198D-13 log_rel_run_E_err -10.2466252767084356 150 6.815648 4399.236 -2.774506 -2.774506 1.000000 1.000000 0.698113 0.000928 0.283497 -2.602706 470 1 5.8933E+00 6.815648 0.064683 -99.000000 -4.171715 -99.000000 0.000000 0.283508 0.008621 0.018379 0.092837 3 9.4753E+06 1.061104 -0.342432 -17.818762 -99.000000 -6.681717 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr rel_E_err 8.7774447779246604D-12 log_rel_run_E_err -10.1947106853014837 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 -16.857680 -99.000000 -6.795712 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr rel_E_err 1.8993126087947631D-13 log_rel_run_E_err -10.3301056925313706 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 1.8716041223851376D-13 log_rel_run_E_err -10.4460342560060457 (age_target - star_age)/age_sigma 173 694.9716042372 reducing max timestep prior to age target 173 4.5173154275417728D+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 -15.255620 -99.000000 -6.836266 0.000000 0.000033 0.001918 0.018918 0.000E+00 max increase rel_E_err 1.8982930763999280D-13 log_rel_run_E_err -10.4269522378669031 (age_target - star_age)/age_sigma 181 677.3258369131 reducing max timestep prior to age target 181 4.4026179399348955D+09 (age_target - star_age)/age_sigma 183 667.2087998064 reducing max timestep prior to age target 183 4.3368571987415915D+09 (age_target - star_age)/age_sigma 185 652.6402663728 reducing max timestep prior to age target 185 4.2421617314232340D+09 (age_target - star_age)/age_sigma 187 631.6615782284 reducing max timestep prior to age target 187 4.1058002584847989D+09 (age_target - star_age)/age_sigma 188 619.3426343707 reducing max timestep prior to age target 188 4.0257271234098191D+09 (age_target - star_age)/age_sigma 189 607.2700693902 reducing max timestep prior to age target 189 3.9472554510363393D+09 190 7.146433 5690.967 -0.086919 -0.086919 1.000000 1.000000 0.645401 0.004648 0.278318 -1.670403 508 1 7.8859E+00 7.146433 -0.031141 -46.060442 -1.746103 -99.000000 0.000000 0.335600 0.008646 0.018080 0.089303 10 6.9915E+08 1.960791 -0.086844 -99.000000 -99.000000 -6.850818 0.000000 0.000015 0.001925 0.018999 0.000E+00 max_dt rel_E_err 1.7462121297205983D-13 log_rel_run_E_err -10.4073063489920852 (age_target - star_age)/age_sigma 190 595.4389557093 reducing max timestep prior to age target 190 3.8703532121103287D+09 (age_target - star_age)/age_sigma 191 583.8444643020 reducing max timestep prior to age target 191 3.7949890179628386D+09 (age_target - star_age)/age_sigma 192 572.4818627228 reducing max timestep prior to age target 192 3.7211321076982985D+09 (age_target - star_age)/age_sigma 193 561.3465131752 reducing max timestep prior to age target 193 3.6487523356390486D+09 (age_target - star_age)/age_sigma 194 550.4338706186 reducing max timestep prior to age target 194 3.5778201590209837D+09 (age_target - star_age)/age_sigma 195 539.7394809131 reducing max timestep prior to age target 195 3.5083066259352808D+09 (age_target - star_age)/age_sigma 196 529.2589790017 reducing max timestep prior to age target 196 3.4401833635112915D+09 (age_target - star_age)/age_sigma 197 518.9880871286 reducing max timestep prior to age target 197 3.3734225663357821D+09 (age_target - star_age)/age_sigma 198 508.9226130929 reducing max timestep prior to age target 198 3.3079969851037831D+09 (age_target - star_age)/age_sigma 199 499.0584485379 reducing max timestep prior to age target 199 3.2438799154964237D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.155900 5707.373 -0.064626 -0.064626 1.000000 1.000000 0.587115 0.004706 0.273042 -1.648742 513 1 7.7982E+00 7.155900 -0.022494 -45.340680 -1.721183 -99.000000 0.000000 0.393792 0.008653 0.017773 0.093411 10 1.3885E+09 1.999418 -0.064550 -99.000000 -99.000000 -6.867581 0.000000 0.000015 0.001935 0.019093 0.000E+00 max_dt rel_E_err 1.8289987263701183D-13 log_rel_run_E_err -10.3891350790357677 (age_target - star_age)/age_sigma 200 489.3915672740 reducing max timestep prior to age target 200 3.1810451872812119D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.9180236354 reducing max timestep prior to age target 201 3.1194671536303039D+09 (age_target - star_age)/age_sigma 202 470.6339508696 reducing max timestep prior to age target 202 3.0591206806524143D+09 (age_target - star_age)/age_sigma 203 461.5355595591 reducing max timestep prior to age target 203 2.9999811371340828D+09 (age_target - star_age)/age_sigma 204 452.6191360748 reducing max timestep prior to age target 204 2.9420243844861174D+09 (age_target - star_age)/age_sigma 205 443.8810410602 reducing max timestep prior to age target 205 2.8852267668911114D+09 (age_target - star_age)/age_sigma 206 435.3177079458 reducing max timestep prior to age target 206 2.8295651016480055D+09 (age_target - star_age)/age_sigma 207 426.9256414938 reducing max timestep prior to age target 207 2.7750166697097616D+09 (age_target - star_age)/age_sigma 208 418.7014163708 reducing max timestep prior to age target 208 2.7215592064102831D+09 (age_target - star_age)/age_sigma 209 410.6416757503 reducing max timestep prior to age target 209 2.6691708923767939D+09 210 7.164251 5720.075 -0.045921 -0.045921 1.000000 1.000000 0.538498 0.004767 0.268744 -1.629473 517 1 7.7105E+00 7.164251 -0.015074 -44.734964 -1.697023 -99.000000 0.000000 0.442337 0.008640 0.017519 0.097253 10 1.9517E+09 2.033235 -0.045847 -99.000000 -99.000000 -6.881795 0.000000 0.000016 0.001943 0.019165 0.000E+00 max_dt rel_E_err 1.9634629071139839D-13 log_rel_run_E_err -10.3704887733279847 (age_target - star_age)/age_sigma 210 402.7431299421 reducing max timestep prior to age target 210 2.6178303446239748D+09 (age_target - star_age)/age_sigma 212 387.2619801582 reducing max timestep prior to age target 212 2.5172028710284481D+09 (age_target - star_age)/age_sigma 213 379.6762167641 reducing max timestep prior to age target 213 2.4678954089666405D+09 (age_target - star_age)/age_sigma 214 372.2421686379 reducing max timestep prior to age target 214 2.4195740961460690D+09 (age_target - star_age)/age_sigma 215 364.9568014741 reducing max timestep prior to age target 215 2.3722192095819087D+09 (age_target - star_age)/age_sigma 216 357.8171416537 reducing max timestep prior to age target 216 2.3258114207490315D+09 (age_target - star_age)/age_sigma 217 350.8202750297 reducing max timestep prior to age target 217 2.2803317876928120D+09 (age_target - star_age)/age_sigma 218 343.9633457381 reducing max timestep prior to age target 218 2.2357617472977171D+09 (age_target - star_age)/age_sigma 219 337.2435550324 reducing max timestep prior to age target 219 2.1920831077105241D+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 1.9366141825734247D-13 log_rel_run_E_err -10.3529002790370477 (age_target - star_age)/age_sigma 220 330.6581601408 reducing max timestep prior to age target 220 2.1492780409150748D+09 (age_target - star_age)/age_sigma 221 324.2044731470 reducing max timestep prior to age target 221 2.1073290754555349D+09 (age_target - star_age)/age_sigma 222 317.8798598931 reducing max timestep prior to age target 222 2.0662190893051853D+09 (age_target - star_age)/age_sigma 223 311.6817389043 reducing max timestep prior to age target 223 2.0259313028778429D+09 (age_target - star_age)/age_sigma 224 305.6075803352 reducing max timestep prior to age target 224 1.9864492721790466D+09 (age_target - star_age)/age_sigma 225 299.6549049376 reducing max timestep prior to age target 225 1.9477568820942273D+09 (age_target - star_age)/age_sigma 226 293.8212830479 reducing max timestep prior to age target 226 1.9098383398111038D+09 (age_target - star_age)/age_sigma 227 288.1043335959 reducing max timestep prior to age target 227 1.8726781683736429D+09 (age_target - star_age)/age_sigma 228 282.5017231331 reducing max timestep prior to age target 228 1.8362612003649316D+09 (age_target - star_age)/age_sigma 229 277.0111648794 reducing max timestep prior to age target 229 1.8005725717163939D+09 230 7.178119 5737.907 -0.016350 -0.016350 1.000000 1.000000 0.462863 0.004904 0.262321 -1.597159 516 1 7.5438E+00 7.178119 -0.002995 -43.775525 -1.654821 -99.000000 0.000000 0.517876 0.008564 0.017139 0.104154 10 2.8039E+09 2.088968 -0.016283 -15.352530 -99.000000 -6.904170 0.000000 0.000018 0.001954 0.019261 0.000E+00 max_dt rel_E_err 1.9088408467671468D-13 log_rel_run_E_err -10.3361228645391510 (age_target - star_age)/age_sigma 230 271.6304177909 reducing max timestep prior to age target 230 1.7655977156408277D+09 (age_target - star_age)/age_sigma 231 266.3572856441 reducing max timestep prior to age target 231 1.7313223566867723D+09 (age_target - star_age)/age_sigma 232 261.1896161403 reducing max timestep prior to age target 232 1.6977325049117980D+09 (age_target - star_age)/age_sigma 233 256.1253000265 reducing max timestep prior to age target 233 1.6648144501723232D+09 (age_target - star_age)/age_sigma 234 251.1622702350 reducing max timestep prior to age target 234 1.6325547565276380D+09 (age_target - star_age)/age_sigma 235 246.2985010394 reducing max timestep prior to age target 235 1.6009402567558465D+09 (age_target - star_age)/age_sigma 236 241.5320072276 reducing max timestep prior to age target 236 1.5699580469794908D+09 (age_target - star_age)/age_sigma 237 236.8608432921 reducing max timestep prior to age target 237 1.5395954813986626D+09 (age_target - star_age)/age_sigma 238 232.2831026353 reducing max timestep prior to age target 238 1.5098401671294508D+09 (age_target - star_age)/age_sigma 239 227.7969167916 reducing max timestep prior to age target 239 1.4806799591456227D+09 240 7.183634 5743.868 -0.005056 -0.005056 1.000000 1.000000 0.434282 0.004977 0.259964 -1.584212 516 1 7.4560E+00 7.183634 0.001748 -43.406551 -1.637388 -99.000000 0.000000 0.546426 0.008509 0.017000 0.107112 10 3.1174E+09 2.111019 -0.004992 -15.477469 -99.000000 -6.912670 0.000000 0.000018 0.001958 0.019292 0.000E+00 max_dt rel_E_err 1.8757121948691074D-13 log_rel_run_E_err -10.3197744393383708 (age_target - star_age)/age_sigma 240 223.4004546648 reducing max timestep prior to age target 240 1.4521029553214712D+09 (age_target - star_age)/age_sigma 241 219.0919217806 reducing max timestep prior to age target 241 1.4240974915738034D+09 (age_target - star_age)/age_sigma 242 214.8695595540 reducing max timestep prior to age target 242 1.3966521371010885D+09 (age_target - star_age)/age_sigma 243 210.7316445720 reducing max timestep prior to age target 243 1.3697556897178278D+09 (age_target - star_age)/age_sigma 244 206.6764878896 reducing max timestep prior to age target 244 1.3433971712822328D+09 (age_target - star_age)/age_sigma 246 198.7283807921 reducing max timestep prior to age target 246 1.2917344751484656D+09 (age_target - star_age)/age_sigma 247 194.8338083143 reducing max timestep prior to age target 247 1.2664197540429196D+09 (age_target - star_age)/age_sigma 248 191.0171272861 reducing max timestep prior to age target 248 1.2416113273594847D+09 (age_target - star_age)/age_sigma 249 187.2767798784 reducing max timestep prior to age target 249 1.2172990692097187D+09 250 7.188376 5748.491 0.004439 0.004439 1.000000 1.000000 0.410340 0.005050 0.258006 -1.573041 518 1 7.3771E+00 7.188376 0.005796 -43.094436 -1.622125 -99.000000 0.000000 0.570347 0.008448 0.016884 0.109765 10 3.3760E+09 2.129940 0.004500 -99.000000 -99.000000 -6.919803 0.000000 0.000019 0.001961 0.019314 0.000E+00 max_dt rel_E_err 1.9596410838129151D-13 log_rel_run_E_err -10.3041584049266906 (age_target - star_age)/age_sigma 250 183.6112394189 reducing max timestep prior to age target 250 1.1934730562229481D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 180.0190097686 reducing max timestep prior to age target 251 1.1701235634959130D+09 (age_target - star_age)/age_sigma 252 176.4986247113 reducing max timestep prior to age target 252 1.1472410606234183D+09 (age_target - star_age)/age_sigma 253 173.0486473551 reducing max timestep prior to age target 253 1.1248162078083735D+09 (age_target - star_age)/age_sigma 254 169.6676695461 reducing max timestep prior to age target 254 1.1028398520496292D+09 (age_target - star_age)/age_sigma 255 166.3543112932 reducing max timestep prior to age target 255 1.0813030234060602D+09 (age_target - star_age)/age_sigma 256 163.1072202054 reducing max timestep prior to age target 256 1.0601969313353629D+09 (age_target - star_age)/age_sigma 257 159.9250709394 reducing max timestep prior to age target 257 1.0395129611060791D+09 (age_target - star_age)/age_sigma 258 156.8065646587 reducing max timestep prior to age target 258 1.0192426702813811D+09 (age_target - star_age)/age_sigma 259 153.7504285036 reducing max timestep prior to age target 259 9.9937778527317715D+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 -15.653560 -99.000000 -6.925731 0.000000 0.000020 0.001964 0.019329 0.000E+00 max_dt rel_E_err 1.8517926529492437D-13 log_rel_run_E_err -10.2888329226682469 (age_target - star_age)/age_sigma 260 150.7554150716 reducing max timestep prior to age target 260 9.7991019796513700D+08 (age_target - star_age)/age_sigma 261 147.8203019082 reducing max timestep prior to age target 261 9.6083196240325785D+08 (age_target - star_age)/age_sigma 262 144.9438910081 reducing max timestep prior to age target 262 9.4213529155261660D+08 (age_target - star_age)/age_sigma 263 142.1250083260 reducing max timestep prior to age target 263 9.2381255411898756D+08 (age_target - star_age)/age_sigma 264 139.3625032975 reducing max timestep prior to age target 264 9.0585627143403149D+08 (age_target - star_age)/age_sigma 265 136.6552483697 reducing max timestep prior to age target 265 8.8825911440277433D+08 (age_target - star_age)/age_sigma 266 134.0021385403 reducing max timestep prior to age target 266 8.7101390051214218D+08 (age_target - star_age)/age_sigma 267 131.4020909076 reducing max timestep prior to age target 267 8.5411359089932299D+08 (age_target - star_age)/age_sigma 268 128.8540442275 reducing max timestep prior to age target 268 8.3755128747876024D+08 (age_target - star_age)/age_sigma 269 126.3569584810 reducing max timestep prior to age target 269 8.2132023012660885D+08 270 7.195855 5754.780 0.018967 0.018967 1.000000 1.000000 0.373711 0.005190 0.255140 -1.555464 517 1 7.2016E+00 7.195855 0.012106 -42.611117 -1.597601 -99.000000 0.000000 0.606949 0.008318 0.016715 0.114164 10 3.7641E+09 2.159660 0.019022 -99.000000 -99.000000 -6.930604 0.000000 0.000020 0.001966 0.019340 0.000E+00 max_dt rel_E_err 1.7699447062022388D-13 log_rel_run_E_err -10.2740154224781719 (age_target - star_age)/age_sigma 270 123.9098144495 reducing max timestep prior to age target 270 8.0541379392150021D+08 (age_target - star_age)/age_sigma 271 121.5116132985 reducing max timestep prior to age target 271 7.8982548644049406D+08 (age_target - star_age)/age_sigma 272 119.1613761706 reducing max timestep prior to age target 272 7.7454894510910749D+08 (age_target - star_age)/age_sigma 273 116.8581437853 reducing max timestep prior to age target 273 7.5957793460434866D+08 (age_target - star_age)/age_sigma 274 114.6009760476 reducing max timestep prior to age target 274 7.4490634430968523D+08 (age_target - star_age)/age_sigma 275 112.3889516648 reducing max timestep prior to age target 275 7.3052818582091522D+08 (age_target - star_age)/age_sigma 276 110.2211677695 reducing max timestep prior to age target 276 7.1643759050192070D+08 (age_target - star_age)/age_sigma 277 108.0967395522 reducing max timestep prior to age target 277 7.0262880708930588D+08 (age_target - star_age)/age_sigma 278 106.0147998992 reducing max timestep prior to age target 278 6.8909619934494352D+08 (age_target - star_age)/age_sigma 279 103.9744990393 reducing max timestep prior to age target 279 6.7583424375546789D+08 280 7.198720 5756.894 0.024394 0.024394 1.000000 1.000000 0.360018 0.005253 0.254058 -1.548779 517 1 7.1138E+00 7.198720 0.014500 -42.428569 -1.588057 -99.000000 0.000000 0.620635 0.008257 0.016651 0.115925 10 3.9067E+09 2.170991 0.024446 -15.653560 -99.000000 -6.934617 0.000000 0.000021 0.001968 0.019347 0.000E+00 max_dt rel_E_err 1.9057027357811199D-13 log_rel_run_E_err -10.2598152612121769 (age_target - star_age)/age_sigma 281 99.9755093539 reducing max timestep prior to age target 281 6.4984081080009604D+08 (age_target - star_age)/age_sigma 282 98.0160044080 reducing max timestep prior to age target 282 6.3710402865196371D+08 (age_target - star_age)/age_sigma 283 96.0956895610 reducing max timestep prior to age target 283 6.2462198214679432D+08 (age_target - star_age)/age_sigma 284 94.2137810110 reducing max timestep prior to age target 284 6.1238957657172823D+08 (age_target - star_age)/age_sigma 285 92.3695106320 reducing max timestep prior to age target 285 6.0040181910816336D+08 (age_target - star_age)/age_sigma 286 90.5621256606 reducing max timestep prior to age target 286 5.8865381679386997D+08 (age_target - star_age)/age_sigma 287 88.7908883886 reducing max timestep prior to age target 287 5.7714077452586222D+08 (age_target - star_age)/age_sigma 288 87.0550758620 reducing max timestep prior to age target 288 5.6585799310321426D+08 (age_target - star_age)/age_sigma 289 85.3539795860 reducing max timestep prior to age target 289 5.5480086730902004D+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 7 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 1.6665396258328247D-13 log_rel_run_E_err -10.2461305332001391 (age_target - star_age)/age_sigma 290 83.6869052355 reducing max timestep prior to age target 290 5.4396488403070974D+08 (age_target - star_age)/age_sigma 291 82.0531723720 reducing max timestep prior to age target 291 5.3334562041796541D+08 (age_target - star_age)/age_sigma 292 80.4521141658 reducing max timestep prior to age target 292 5.2293874207747602D+08 (age_target - star_age)/age_sigma 293 78.8830771237 reducing max timestep prior to age target 293 5.1274000130379629D+08 (age_target - star_age)/age_sigma 294 77.3454208224 reducing max timestep prior to age target 294 5.0274523534559011D+08 (age_target - star_age)/age_sigma 295 75.8385176472 reducing max timestep prior to age target 295 4.9295036470654869D+08 (age_target - star_age)/age_sigma 296 74.3617525354 reducing max timestep prior to age target 296 4.8335139148028755D+08 (age_target - star_age)/age_sigma 297 72.9145227259 reducing max timestep prior to age target 297 4.7394439771855164D+08 (age_target - star_age)/age_sigma 298 71.4962375126 reducing max timestep prior to age target 298 4.6472554383205032D+08 (age_target - star_age)/age_sigma 299 70.1063180036 reducing max timestep prior to age target 299 4.5569106702327871D+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 -15.352530 -99.000000 -6.940621 0.000000 0.000022 0.001971 0.019355 0.000E+00 max_dt rel_E_err 1.7331752374954199D-13 log_rel_run_E_err -10.2328810111523012 (age_target - star_age)/age_sigma 300 68.7441968847 reducing max timestep prior to age target 300 4.4683727975068331D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.4093181882 reducing max timestep prior to age target 301 4.3816056822353935D+08 (age_target - star_age)/age_sigma 302 66.1011370657 reducing max timestep prior to age target 302 4.2965739092693853D+08 (age_target - star_age)/age_sigma 303 64.8191195656 reducing max timestep prior to age target 303 4.2132427717626953D+08 (age_target - star_age)/age_sigma 304 63.5627424155 reducing max timestep prior to age target 304 4.1315782570061398D+08 (age_target - star_age)/age_sigma 305 62.3314928084 reducing max timestep prior to age target 305 4.0515470325447178D+08 (age_target - star_age)/age_sigma 306 61.1248681934 reducing max timestep prior to age target 306 3.9731164325725222D+08 (age_target - star_age)/age_sigma 307 59.9423760708 reducing max timestep prior to age target 307 3.8962544445997667D+08 (age_target - star_age)/age_sigma 308 58.7835337906 reducing max timestep prior to age target 308 3.8209296963864660D+08 (age_target - star_age)/age_sigma 309 57.6478683560 reducing max timestep prior to age target 309 3.7471114431374359D+08 310 7.204865 5760.510 0.035774 0.035774 1.000000 1.000000 0.331203 0.005408 0.251835 -1.534436 516 1 6.8594E+00 7.204865 0.019641 -42.041184 -1.567316 -99.000000 0.000000 0.649440 0.008100 0.016518 0.119863 5 4.2020E+09 2.195260 0.035819 -15.352530 -99.000000 -6.942874 0.000000 0.000022 0.001972 0.019357 0.000E+00 max_dt rel_E_err 1.9851754028641710D-13 log_rel_run_E_err -10.2200382461535337 (age_target - star_age)/age_sigma 310 56.5349162301 reducing max timestep prior to age target 310 3.6747695549533844D+08 (age_target - star_age)/age_sigma 311 55.4442231467 reducing max timestep prior to age target 311 3.6038745045330143D+08 (age_target - star_age)/age_sigma 312 54.3753439249 reducing max timestep prior to age target 312 3.5343973551210546D+08 (age_target - star_age)/age_sigma 313 53.3278422877 reducing max timestep prior to age target 313 3.4663097486973286D+08 (age_target - star_age)/age_sigma 314 52.3012906831 reducing max timestep prior to age target 314 3.3995838944020844D+08 (age_target - star_age)/age_sigma 315 51.2952701107 reducing max timestep prior to age target 315 3.3341925571927404D+08 (age_target - star_age)/age_sigma 317 49.3234697887 reducing max timestep prior to age target 317 3.2060255362624264D+08 (age_target - star_age)/age_sigma 318 48.3572876309 reducing max timestep prior to age target 318 3.1432236960065746D+08 (age_target - star_age)/age_sigma 319 47.4104291162 reducing max timestep prior to age target 319 3.0816778925558376D+08 320 7.206265 5761.329 0.038319 0.038319 1.000000 1.000000 0.324741 0.005448 0.251342 -1.531154 516 1 6.7804E+00 7.206265 0.020789 -41.953694 -1.562539 -99.000000 0.000000 0.655900 0.008059 0.016488 0.120794 5 4.2674E+09 2.200788 0.038363 -15.653560 -99.000000 -6.944726 0.000000 0.000022 0.001972 0.019358 0.000E+00 max_dt rel_E_err 1.8372878868565710D-13 log_rel_run_E_err -10.2072208025200641 (age_target - star_age)/age_sigma 320 46.4825077719 reducing max timestep prior to age target 320 3.0213630051741171D+08 (age_target - star_age)/age_sigma 321 45.5731448545 reducing max timestep prior to age target 321 2.9622544155400324D+08 (age_target - star_age)/age_sigma 322 44.6819691954 reducing max timestep prior to age target 322 2.9043279976986217D+08 (age_target - star_age)/age_sigma 323 43.8086170494 reducing max timestep prior to age target 323 2.8475601082140446D+08 (age_target - star_age)/age_sigma 324 42.9527319464 reducing max timestep prior to age target 324 2.7919275765191555D+08 (age_target - star_age)/age_sigma 325 42.1139645455 reducing max timestep prior to age target 325 2.7374076954581738D+08 (age_target - star_age)/age_sigma 326 41.2919724926 reducing max timestep prior to age target 326 2.6839782120184040D+08 (age_target - star_age)/age_sigma 327 40.4864202807 reducing max timestep prior to age target 327 2.6316173182474232D+08 (age_target - star_age)/age_sigma 328 39.6969791131 reducing max timestep prior to age target 328 2.5803036423518753D+08 (age_target - star_age)/age_sigma 329 38.9233267688 reducing max timestep prior to age target 329 2.5300162399742317D+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 1.8957792054970525D-13 log_rel_run_E_err -10.1948166200193047 (age_target - star_age)/age_sigma 330 38.1651474714 reducing max timestep prior to age target 330 2.4807345856441498D+08 (age_target - star_age)/age_sigma 331 37.4221317600 reducing max timestep prior to age target 331 2.4324385644006634D+08 (age_target - star_age)/age_sigma 332 36.6939763628 reducing max timestep prior to age target 332 2.3851084635820389D+08 (age_target - star_age)/age_sigma 333 35.9803840735 reducing max timestep prior to age target 333 2.3387249647797966D+08 (age_target - star_age)/age_sigma 334 35.2810636301 reducing max timestep prior to age target 334 2.2932691359535980D+08 (age_target - star_age)/age_sigma 335 34.5957295954 reducing max timestep prior to age target 335 2.2487224237039185D+08 (age_target - star_age)/age_sigma 336 33.9241022415 reducing max timestep prior to age target 336 2.2050666456992340D+08 (age_target - star_age)/age_sigma 337 33.2659074347 reducing max timestep prior to age target 337 2.1622839832546425D+08 (age_target - star_age)/age_sigma 338 32.6208765240 reducing max timestep prior to age target 338 2.1203569740589428D+08 (age_target - star_age)/age_sigma 339 31.9887462315 reducing max timestep prior to age target 339 2.0792685050471592D+08 340 7.208398 5762.501 0.042162 0.042162 1.000000 1.000000 0.314963 0.005512 0.250611 -1.526145 516 1 6.6049E+00 7.208398 0.022533 -41.820863 -1.555225 -99.000000 0.000000 0.665678 0.007993 0.016444 0.122237 5 4.3656E+09 2.209215 0.042204 -99.000000 -99.000000 -6.947510 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt rel_E_err 1.8302164045311880D-13 log_rel_run_E_err -10.1833228530283755 (age_target - star_age)/age_sigma 340 31.3692585449 reducing max timestep prior to age target 340 2.0390018054156113D+08 (age_target - star_age)/age_sigma 341 30.7621606119 reducing max timestep prior to age target 341 1.9995404397766972D+08 (age_target - star_age)/age_sigma 342 30.1672046377 reducing max timestep prior to age target 342 1.9608683014505577D+08 (age_target - star_age)/age_sigma 343 29.5841477829 reducing max timestep prior to age target 343 1.9229696058909416D+08 (age_target - star_age)/age_sigma 344 29.0127520653 reducing max timestep prior to age target 344 1.8858288842425156D+08 (age_target - star_age)/age_sigma 345 28.4527842620 reducing max timestep prior to age target 345 1.8494309770270634D+08 (age_target - star_age)/age_sigma 346 27.9040158147 reducing max timestep prior to age target 346 1.8137610279559231D+08 (age_target - star_age)/age_sigma 347 27.3662227364 reducing max timestep prior to age target 347 1.7788044778661919D+08 (age_target - star_age)/age_sigma 348 26.8391855197 reducing max timestep prior to age target 348 1.7445470587782669D+08 (age_target - star_age)/age_sigma 349 26.3226890473 reducing max timestep prior to age target 349 1.7109747880720997D+08 350 7.209191 5762.914 0.043580 0.043580 1.000000 1.000000 0.311350 0.005536 0.250344 -1.524280 516 1 6.5172E+00 7.209191 0.023179 -41.771665 -1.552497 -99.000000 0.000000 0.669290 0.007967 0.016428 0.122782 5 4.4017E+09 2.212348 0.043620 -99.000000 -99.000000 -6.948532 0.000000 0.000023 0.001974 0.019360 0.000E+00 max_dt rel_E_err 1.8089134932613807D-13 log_rel_run_E_err -10.1713878066475090 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.3103559614 reducing max timestep prior to age target 351 1.6451731374880028D+08 (age_target - star_age)/age_sigma 352 24.8143127493 reducing max timestep prior to age target 352 1.6129303287018013D+08 (age_target - star_age)/age_sigma 353 24.3281904014 reducing max timestep prior to age target 353 1.5813323760913181D+08 (age_target - star_age)/age_sigma 354 23.8517905005 reducing max timestep prior to age target 354 1.5503663825330448D+08 (age_target - star_age)/age_sigma 355 23.3849185976 reducing max timestep prior to age target 355 1.5200197088459396D+08 (age_target - star_age)/age_sigma 356 22.9273841328 reducing max timestep prior to age target 356 1.4902799686325741D+08 (age_target - star_age)/age_sigma 357 22.4790003573 reducing max timestep prior to age target 357 1.4611350232234764D+08 (age_target - star_age)/age_sigma 358 22.0395842573 reducing max timestep prior to age target 358 1.4325729767225647D+08 (age_target - star_age)/age_sigma 359 21.6089564793 reducing max timestep prior to age target 359 1.4045821711516666D+08 360 7.209856 5763.251 0.044763 0.044763 1.000000 1.000000 0.308330 0.005557 0.250123 -1.522713 516 1 6.4382E+00 7.209856 0.023720 -41.730488 -1.550206 -99.000000 0.000000 0.672310 0.007945 0.016415 0.123242 5 4.4318E+09 2.214975 0.044803 -99.000000 -99.000000 -6.949384 0.000000 0.000023 0.001974 0.019360 0.000E+00 max_dt rel_E_err 1.8865116866628742D-13 log_rel_run_E_err -10.1599987616010399 (age_target - star_age)/age_sigma 360 21.1869412568 reducing max timestep prior to age target 360 1.3771511816921902D+08 (age_target - star_age)/age_sigma 361 20.7733663388 reducing max timestep prior to age target 361 1.3502688120218945D+08 (age_target - star_age)/age_sigma 362 20.3680629192 reducing max timestep prior to age target 362 1.3239240897450161D+08 (age_target - star_age)/age_sigma 363 19.9708655679 reducing max timestep prior to age target 363 1.2981062619136620D+08 (age_target - star_age)/age_sigma 364 19.5816121637 reducing max timestep prior to age target 364 1.2728047906389523D+08 (age_target - star_age)/age_sigma 365 19.2001438275 reducing max timestep prior to age target 365 1.2480093487897205D+08 (age_target - star_age)/age_sigma 366 18.8263048581 reducing max timestep prior to age target 366 1.2237098157774830D+08 (age_target - star_age)/age_sigma 367 18.4599426681 reducing max timestep prior to age target 367 1.1998962734254837D+08 (age_target - star_age)/age_sigma 368 18.1009077219 reducing max timestep prior to age target 368 1.1765590019205284D+08 (age_target - star_age)/age_sigma 369 17.7490534745 reducing max timestep prior to age target 369 1.1536884758456802D+08 370 7.210401 5763.521 0.045732 0.045732 1.000000 1.000000 0.305857 0.005575 0.249943 -1.521426 516 1 6.3505E+00 7.210401 0.024163 -41.696726 -1.548322 -99.000000 0.000000 0.674784 0.007926 0.016404 0.123622 5 4.4564E+09 2.217132 0.045771 -15.653560 -99.000000 -6.950080 0.000000 0.000023 0.001974 0.019359 0.000E+00 max_dt rel_E_err 1.8400645145890513D-13 log_rel_run_E_err -10.1489111985620095 (age_target - star_age)/age_sigma 370 17.4042363122 reducing max timestep prior to age target 370 1.1312753602923203D+08 (age_target - star_age)/age_sigma 371 17.0663154931 reducing max timestep prior to age target 371 1.1093105070500278D+08 (age_target - star_age)/age_sigma 372 16.7351530903 reducing max timestep prior to age target 372 1.0877849508725739D+08 (age_target - star_age)/age_sigma 373 16.4106139357 reducing max timestep prior to age target 373 1.0666899058186817D+08 (age_target - star_age)/age_sigma 374 16.0925655641 reducing max timestep prior to age target 374 1.0460167616658688D+08 (age_target - star_age)/age_sigma 375 15.7808781599 reducing max timestep prior to age target 375 1.0257570803960991D+08 (age_target - star_age)/age_sigma 376 15.4754245039 reducing max timestep prior to age target 376 1.0059025927517319D+08 (age_target - star_age)/age_sigma 377 15.1760799209 reducing max timestep prior to age target 377 9.8644519486024857D+07 (age_target - star_age)/age_sigma 378 14.8827222296 reducing max timestep prior to age target 378 9.6737694492659569D+07 (age_target - star_age)/age_sigma 379 14.5952316922 reducing max timestep prior to age target 379 9.4869005999162674D+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 1.6885200512946785D-13 log_rel_run_E_err -10.1382747695325133 (age_target - star_age)/age_sigma 380 14.3134909655 reducing max timestep prior to age target 380 9.3037691275534630D+07 (age_target - star_age)/age_sigma 381 14.0373850533 reducing max timestep prior to age target 381 9.1243002846379280D+07 (age_target - star_age)/age_sigma 382 13.7668012594 reducing max timestep prior to age target 382 8.9484208185808182D+07 (age_target - star_age)/age_sigma 383 13.5016291413 reducing max timestep prior to age target 383 8.7760589418447495D+07 (age_target - star_age)/age_sigma 384 13.2417604656 reducing max timestep prior to age target 384 8.6071443026432991D+07 (age_target - star_age)/age_sigma 385 12.9870891634 reducing max timestep prior to age target 385 8.4416079562260628D+07 (age_target - star_age)/age_sigma 387 12.4879334112 reducing max timestep prior to age target 387 8.1171567172480583D+07 (age_target - star_age)/age_sigma 388 12.2433470925 reducing max timestep prior to age target 388 7.9581756101488113D+07 (age_target - star_age)/age_sigma 389 12.0036525003 reducing max timestep prior to age target 389 7.8023741251915932D+07 390 7.211219 5763.918 0.047178 0.047178 1.000000 1.000000 0.302162 0.005602 0.249676 -1.519498 517 1 6.1838E+00 7.211219 0.024826 -41.646221 -1.545495 -99.000000 0.000000 0.678479 0.007897 0.016387 0.124195 5 4.4930E+09 2.220363 0.047216 -15.352530 -99.000000 -6.951118 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8313915676283752D-13 log_rel_run_E_err -10.1278654860184965 (age_target - star_age)/age_sigma 390 11.7687517999 reducing max timestep prior to age target 390 7.6496886699335098D+07 (age_target - star_age)/age_sigma 391 11.5385491135 reducing max timestep prior to age target 391 7.5000569237806320D+07 (age_target - star_age)/age_sigma 392 11.3129504808 reducing max timestep prior to age target 392 7.3534178125507355D+07 (age_target - star_age)/age_sigma 393 11.0918638208 reducing max timestep prior to age target 393 7.2097114835454941D+07 (age_target - star_age)/age_sigma 394 10.8751988940 reducing max timestep prior to age target 394 7.0688792811203957D+07 (age_target - star_age)/age_sigma 395 10.6628672658 reducing max timestep prior to age target 395 6.9308637227437019D+07 (age_target - star_age)/age_sigma 396 10.4547822701 reducing max timestep prior to age target 396 6.7956084755346298D+07 (age_target - star_age)/age_sigma 397 10.2508589743 reducing max timestep prior to age target 397 6.6630583332696915D+07 (age_target - star_age)/age_sigma 398 10.0510141444 reducing max timestep prior to age target 398 6.5331591938500404D+07 (age_target - star_age)/age_sigma 399 9.8551662111 reducing max timestep prior to age target 399 6.4058580372188568D+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 1.7598125582874075D-13 log_rel_run_E_err -10.1173437465520895 (age_target - star_age)/age_sigma 400 9.6632352365 reducing max timestep prior to age target 400 6.2811029037201881D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4751428814 reducing max timestep prior to age target 401 6.1588428728916168D+07 (age_target - star_age)/age_sigma 402 9.2908123734 reducing max timestep prior to age target 402 6.0390280426795006D+07 (age_target - star_age)/age_sigma 403 9.1101684755 reducing max timestep prior to age target 403 5.9216095090716362D+07 (age_target - star_age)/age_sigma 404 8.9331374556 reducing max timestep prior to age target 404 5.8065393461359978D+07 (age_target - star_age)/age_sigma 405 8.7596470561 reducing max timestep prior to age target 405 5.6937705864590645D+07 (age_target - star_age)/age_sigma 406 8.5896264646 reducing max timestep prior to age target 406 5.5832572019756317D+07 (age_target - star_age)/age_sigma 407 8.4230062849 reducing max timestep prior to age target 407 5.4749540851818085D+07 (age_target - star_age)/age_sigma 408 8.2597185088 reducing max timestep prior to age target 408 5.3688170307239532D+07 (age_target - star_age)/age_sigma 409 8.0996964882 reducing max timestep prior to age target 409 5.2648027173552513D+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 4 4.5179E+09 2.222569 0.048196 -15.653560 -99.000000 -6.951791 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7513284592364078D-13 log_rel_run_E_err -10.1071943866246876 (age_target - star_age)/age_sigma 410 7.9428749081 reducing max timestep prior to age target 410 5.1628686902539253D+07 (age_target - star_age)/age_sigma 411 7.7891897595 reducing max timestep prior to age target 411 5.0629733436945915D+07 (age_target - star_age)/age_sigma 412 7.6385783139 reducing max timestep prior to age target 412 4.9650759040664673D+07 (age_target - star_age)/age_sigma 413 7.4909790973 reducing max timestep prior to age target 413 4.8691364132308960D+07 (age_target - star_age)/age_sigma 414 7.3463318649 reducing max timestep prior to age target 414 4.7751157122120857D+07 (age_target - star_age)/age_sigma 415 7.2045775773 reducing max timestep prior to age target 415 4.6829754252136230D+07 (age_target - star_age)/age_sigma 416 7.0656583753 reducing max timestep prior to age target 416 4.5926779439551353D+07 (age_target - star_age)/age_sigma 417 6.9295175574 reducing max timestep prior to age target 417 4.5041864123217583D+07 (age_target - star_age)/age_sigma 418 6.7960995559 reducing max timestep prior to age target 418 4.4174647113210678D+07 (age_target - star_age)/age_sigma 419 6.6653499144 reducing max timestep prior to age target 419 4.3324774443404198D+07 420 7.211982 5764.138 0.048520 0.048520 1.000000 1.000000 0.298722 0.005628 0.249429 -1.517694 516 1 5.9206E+00 7.211982 0.025463 -41.599147 -1.542854 -99.000000 0.000000 0.681919 0.007870 0.016372 0.124735 3 4.5270E+09 2.223382 0.048557 -99.000000 -99.000000 -6.952049 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8395676363659150D-13 log_rel_run_E_err -10.0970549239861143 (age_target - star_age)/age_sigma 421 6.4090806170 reducing max timestep prior to age target 421 4.1659024010583878D+07 (age_target - star_age)/age_sigma 422 6.2835086613 reducing max timestep prior to age target 422 4.0842806298501968D+07 (age_target - star_age)/age_sigma 423 6.1604481447 reducing max timestep prior to age target 423 4.0042912940661430D+07 (age_target - star_age)/age_sigma 424 6.0398488385 reducing max timestep prior to age target 424 3.9259017449977875D+07 (age_target - star_age)/age_sigma 425 5.9216615183 reducing max timestep prior to age target 425 3.8490799869107246D+07 (age_target - star_age)/age_sigma 426 5.8058379446 reducing max timestep prior to age target 426 3.7737946639854431D+07 (age_target - star_age)/age_sigma 427 5.6923308423 reducing max timestep prior to age target 427 3.7000150475187302D+07 (age_target - star_age)/age_sigma 428 5.5810938821 reducing max timestep prior to age target 428 3.6277110233812332D+07 (age_target - star_age)/age_sigma 429 5.4720816611 reducing max timestep prior to age target 429 3.5568530797266006D+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 1.9067889974798029D-13 log_rel_run_E_err -10.0872241657688235 (age_target - star_age)/age_sigma 430 5.3652496845 reducing max timestep prior to age target 430 3.4874122949449539D+07 (age_target - star_age)/age_sigma 431 5.2605543475 reducing max timestep prior to age target 431 3.4193603258589745D+07 (age_target - star_age)/age_sigma 432 5.1579529172 reducing max timestep prior to age target 432 3.3526693961547852D+07 (age_target - star_age)/age_sigma 433 5.0574035155 reducing max timestep prior to age target 433 3.2873122850445747D+07 (age_target - star_age)/age_sigma 434 4.9582387406 remaining steps and years until age target 434 50 3.2228551814163208D+07 (age_target - star_age)/age_sigma 435 4.8590739658 reducing max timestep prior to age target 435 3.1583980777879715D+07 (age_target - star_age)/age_sigma 436 4.7599091910 reducing max timestep prior to age target 436 3.0939409741596222D+07 (age_target - star_age)/age_sigma 437 4.6607444162 remaining steps and years until age target 437 47 3.0294838705313683D+07 (age_target - star_age)/age_sigma 438 4.5615796414 reducing max timestep prior to age target 438 2.9650267669030190D+07 (age_target - star_age)/age_sigma 439 4.4624148666 remaining steps and years until age target 439 45 2.9005696632747650D+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 1.7259491233232213D-13 log_rel_run_E_err -10.0777309120286187 (age_target - star_age)/age_sigma 440 4.3632500918 reducing max timestep prior to age target 440 2.8361125596464157D+07 (age_target - star_age)/age_sigma 441 4.2640853170 reducing max timestep prior to age target 441 2.7716554560180664D+07 (age_target - star_age)/age_sigma 442 4.1649205421 remaining steps and years until age target 442 42 2.7071983523898125D+07 (age_target - star_age)/age_sigma 443 4.0657557673 reducing max timestep prior to age target 443 2.6427412487614632D+07 (age_target - star_age)/age_sigma 444 3.9665909925 remaining steps and years until age target 444 40 2.5782841451332092D+07 (age_target - star_age)/age_sigma 445 3.8674262177 reducing max timestep prior to age target 445 2.5138270415048599D+07 (age_target - star_age)/age_sigma 446 3.7682614429 reducing max timestep prior to age target 446 2.4493699378765106D+07 (age_target - star_age)/age_sigma 447 3.6690966681 remaining steps and years until age target 447 37 2.3849128342482567D+07 (age_target - star_age)/age_sigma 448 3.5699318933 reducing max timestep prior to age target 448 2.3204557306199074D+07 (age_target - star_age)/age_sigma 449 3.4707671184 remaining steps and years until age target 449 35 2.2559986269916534D+07 450 7.212447 5764.350 0.049334 0.049334 1.000000 1.000000 0.296635 0.005643 0.249280 -1.516597 516 1 5.8093E+00 7.212447 0.025838 -41.570563 -1.541244 -99.000000 0.000000 0.684006 0.007853 0.016363 0.125065 3 4.5476E+09 2.225217 0.049371 -99.000000 -99.000000 -6.952631 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.7132947164265882D-13 log_rel_run_E_err -10.0686035229601352 (age_target - star_age)/age_sigma 450 3.3716023436 reducing max timestep prior to age target 450 2.1915415233633041D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2724375688 reducing max timestep prior to age target 451 2.1270844197349548D+07 (age_target - star_age)/age_sigma 452 3.1732727940 remaining steps and years until age target 452 32 2.0626273161067009D+07 (age_target - star_age)/age_sigma 453 3.0741080192 reducing max timestep prior to age target 453 1.9981702124783516D+07 (age_target - star_age)/age_sigma 454 2.9749432444 remaining steps and years until age target 454 30 1.9337131088500977D+07 (age_target - star_age)/age_sigma 455 2.8757784696 reducing max timestep prior to age target 455 1.8692560052217484D+07 (age_target - star_age)/age_sigma 456 2.7766136948 reducing max timestep prior to age target 456 1.8047989015933990D+07 (age_target - star_age)/age_sigma 457 2.6774489199 remaining steps and years until age target 457 27 1.7403417979651451D+07 (age_target - star_age)/age_sigma 458 2.5782841451 reducing max timestep prior to age target 458 1.6758846943367958D+07 (age_target - star_age)/age_sigma 459 2.4791193703 reducing max timestep prior to age target 459 1.6114275907083511D+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 1.7679099578773522D-13 log_rel_run_E_err -10.0595764233533735 (age_target - star_age)/age_sigma 460 2.3799545955 remaining steps and years until age target 460 24 1.5469704870800972D+07 (age_target - star_age)/age_sigma 461 2.2807898207 reducing max timestep prior to age target 461 1.4825133834517479D+07 (age_target - star_age)/age_sigma 462 2.1816250459 reducing max timestep prior to age target 462 1.4180562798233986D+07 (age_target - star_age)/age_sigma 463 2.0824602711 reducing max timestep prior to age target 463 1.3535991761950493D+07 (age_target - star_age)/age_sigma 464 1.9832954963 reducing max timestep prior to age target 464 1.2891420725667000D+07 (age_target - star_age)/age_sigma 465 1.8841307214 remaining steps and years until age target 465 19 1.2246849689384460D+07 (age_target - star_age)/age_sigma 466 1.7849659466 reducing max timestep prior to age target 466 1.1602278653100967D+07 (age_target - star_age)/age_sigma 467 1.6858011718 reducing max timestep prior to age target 467 1.0957707616816521D+07 (age_target - star_age)/age_sigma 468 1.5866363970 remaining steps and years until age target 468 16 1.0313136580533981D+07 (age_target - star_age)/age_sigma 469 1.4874716222 reducing max timestep prior to age target 469 9.6685655442504883D+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 -15.352530 -99.000000 -6.952996 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.7930933595041166D-13 log_rel_run_E_err -10.0506801628140430 (age_target - star_age)/age_sigma 470 1.3883068474 reducing max timestep prior to age target 470 9.0239945079669952D+06 (age_target - star_age)/age_sigma 471 1.2891420726 remaining steps and years until age target 471 13 8.3794234716844559D+06 (age_target - star_age)/age_sigma 472 1.1899772978 reducing max timestep prior to age target 472 7.7348524354000092D+06 (age_target - star_age)/age_sigma 473 1.0908125229 remaining steps and years until age target 473 11 7.0902813991174698D+06 (age_target - star_age)/age_sigma 474 0.9916477481 reducing max timestep prior to age target 474 6.4457103628339767D+06 (age_target - star_age)/age_sigma 475 0.8924829733 reducing max timestep prior to age target 475 5.8011393265504837D+06 (age_target - star_age)/age_sigma 476 0.7933181985 reducing max timestep prior to age target 476 5.1565682902660370D+06 (age_target - star_age)/age_sigma 477 0.6941534237 remaining steps and years until age target 477 7 4.5119972539834976D+06 (age_target - star_age)/age_sigma 478 0.5949886489 reducing max timestep prior to age target 478 3.8674262177000046D+06 (age_target - star_age)/age_sigma 479 0.4958238741 remaining steps and years until age target 479 5 3.2228551814174652D+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 1.7825408584391940D-13 log_rel_run_E_err -10.0419437437395693 (age_target - star_age)/age_sigma 480 0.3966590993 reducing max timestep prior to age target 480 2.5782841451330185D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2974943244 reducing max timestep prior to age target 481 1.9337131088495255D+06 (age_target - star_age)/age_sigma 482 0.1983295496 reducing max timestep prior to age target 482 1.2891420725660324D+06 (age_target - star_age)/age_sigma 483 0.0991647748 remaining steps and years until age target 483 1 6.4457103628349304D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71 save outputs/best.mod 484 save outputs/best.profile for model 484 save LOGS/profile11.data for model 484 have reached age_target save LOGS/profile11.data for model 484 solver retries 3 varcontrol dt limit 81 max increase dt limit 1074 lgRho_cntr dt limit 37 model saved to final.mod save photos/x484 for model 484 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71 have reached age_target runtime (minutes), retries, steps 3.06 1 484 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 484 7.212943 5764.572 0.050203 0.050203 1.000000 1.000000 0.294409 0.005661 0.249121 -1.515426 516 1 5.8093E+00 7.212943 0.026238 -41.540030 -1.539521 -99.000000 0.000000 0.686233 0.007835 0.016354 0.125420 3 4.5695E+09 2.227178 0.050239 -15.352530 -99.000000 -6.953251 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.8371769767317808D-13 log_rel_run_E_err -10.0385086719082306 Teff 5764.5719399273 radius 1.0622782376 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 3878.5788762467 M_H -0.0127881998 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 163.5380535180 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 334680.7056432549 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 "8f7f3a3" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251201" "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 3.3351283960191236E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383766992E+03 1.0231407131234238E+00 -1.7395981939735516E-03 9.9353665865795134E-03 1.3680762272705050E+02 2.9640776267829306E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191236E+05 0 0 0 0 0 0 0 2 3.3468070564325486E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272648E+03 1.0622782375814108E+00 -1.2788199776276491E-02 2.6238284372325182E-02 1.2938435093833905E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325486E+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 -28.597850 -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 3.9562807330739613D-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 1.8246323735112702D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -21.674160 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692958677860449D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1010577170663625D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.622719 4306.186 -4.896792 -4.896792 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028733 457 0 -4.2874E+00 6.622719 0.262153 -99.000000 -6.294540 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 5 2.5959E-04 0.157517 0.015371 -20.169010 -99.000000 -6.906603 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6887713452436848D-13 log_rel_run_E_err -11.5757987101743840 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 2.7148217244353573D-13 log_rel_run_E_err -11.2763233060983481 30 6.622723 4316.396 -4.896792 -4.896792 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -2.7037E+00 6.622723 0.262177 -99.000000 -6.294540 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 1.1819E-02 0.157524 0.019534 -20.293948 -99.000000 -6.911323 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7929728598435514D-13 log_rel_run_E_err -11.1005986440445952 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 2.7632009725905625D-13 log_rel_run_E_err -10.9747973750819803 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 2.8599593673269024D-13 log_rel_run_E_err -10.8756072604313498 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.622726 4313.925 -4.896788 -4.896788 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -3.2831E-01 6.622726 0.262172 -99.000000 -6.294536 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 2.8173E+00 0.157528 0.018529 -20.771070 -99.000000 -6.910187 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.4785065558007410D-13 log_rel_run_E_err -10.7968774850299649 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 2.7724977169178684D-13 log_rel_run_E_err -10.7303628462421941 80 6.622732 4313.919 -4.896727 -4.896727 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028704 457 0 1.2553E+00 6.622732 0.262166 -99.000000 -6.294475 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 1.0801E+02 0.157548 0.018514 -99.000000 -99.000000 -6.910177 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6217437162005973D-13 log_rel_run_E_err -10.6728106015208919 90 6.622762 4313.884 -4.896401 -4.896401 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028559 457 0 2.0471E+00 6.622762 0.262132 -99.000000 -6.294149 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 2 6.6878E+02 0.157655 0.018431 -20.771070 -99.000000 -6.910119 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7982845703104969D-13 log_rel_run_E_err -10.6211217441242365 __________________________________________________________________________________________________________________________________________________ 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 2.6964620552799168D-13 log_rel_run_E_err -10.5746700989697224 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 2.6047321879824930D-13 log_rel_run_E_err -10.5347816157486598 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 -20.169010 -99.000000 -6.894484 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 4.0843892772984855D-13 log_rel_run_E_err -10.5014155446027804 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 2.3597540773904966D-11 log_rel_run_E_err -10.2212777709903566 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 -19.265920 -99.000000 -6.663785 0.000000 0.003429 0.002074 0.019894 0.000E+00 varcontrol rel_E_err 2.4302644346075153D-13 log_rel_run_E_err -10.3194260654606680 150 6.868601 4496.668 -2.253688 -2.253688 1.000000 1.000000 0.710088 0.001005 0.269993 -2.223868 473 0 6.0088E+00 6.868601 0.036433 -99.000000 -3.650488 -99.000000 0.000000 0.270017 0.009331 0.019894 0.098089 4 1.5141E+07 1.297238 -0.360877 -17.158710 -99.000000 -6.714681 0.000000 0.003429 0.002074 0.019895 0.000E+00 lgRho_cntr rel_E_err 2.1915517219747007D-13 log_rel_run_E_err -10.4345381264209092 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 1.6809330483553136D-13 log_rel_run_E_err -10.5730300384071647 (age_target - star_age)/age_sigma 168 694.7514474943 reducing max timestep prior to age target 168 4.5158844087132406D+09 170 7.128249 5516.078 -0.179266 -0.179266 1.000000 1.000000 0.707745 0.003384 0.269734 -1.726831 507 0 6.9128E+00 7.128249 -0.049816 -47.364544 -1.779651 -99.000000 0.000000 0.272015 0.009334 0.019877 0.085495 5 6.8613E+07 1.894313 -0.178416 -15.954590 -99.000000 -6.804894 0.000000 0.001391 0.002075 0.020240 0.000E+00 max increase rel_E_err 1.8452332657599725D-13 log_rel_run_E_err -10.5975040643184180 (age_target - star_age)/age_sigma 176 677.4473861444 reducing max timestep prior to age target 176 4.4034080099387093D+09 (age_target - star_age)/age_sigma 179 661.0324369256 reducing max timestep prior to age target 179 4.2967108400166740D+09 180 7.128729 5536.217 -0.162195 -0.162195 1.000000 1.000000 0.691334 0.005002 0.268174 -1.677290 500 0 7.7046E+00 7.128729 -0.044841 -47.219844 -1.818361 -99.000000 0.000000 0.288160 0.009348 0.019777 0.087930 10 3.2344E+08 1.919490 -0.162136 -15.477469 -99.000000 -6.814263 0.000000 0.000015 0.002078 0.020506 0.000E+00 max increase rel_E_err 1.7699177004312515D-13 log_rel_run_E_err -10.5690838275354331 (age_target - star_age)/age_sigma 180 653.2398456482 reducing max timestep prior to age target 180 4.2460589967130270D+09 (age_target - star_age)/age_sigma 182 632.6674046756 reducing max timestep prior to age target 182 4.1123381303913984D+09 (age_target - star_age)/age_sigma 183 620.3484608179 reducing max timestep prior to age target 183 4.0322649953164191D+09 (age_target - star_age)/age_sigma 184 608.2758958374 reducing max timestep prior to age target 184 3.9537933229429388D+09 (age_target - star_age)/age_sigma 185 596.4447821565 reducing max timestep prior to age target 185 3.8768910840169287D+09 (age_target - star_age)/age_sigma 186 584.8502907491 reducing max timestep prior to age target 186 3.8015268898694386D+09 (age_target - star_age)/age_sigma 187 573.4876891700 reducing max timestep prior to age target 187 3.7276699796048980D+09 (age_target - star_age)/age_sigma 188 562.3523396224 reducing max timestep prior to age target 188 3.6552902075456486D+09 (age_target - star_age)/age_sigma 189 551.4396970658 reducing max timestep prior to age target 189 3.5843580309275837D+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 1.9539342842639000D-13 log_rel_run_E_err -10.5422582285617814 (age_target - star_age)/age_sigma 190 540.7453073603 reducing max timestep prior to age target 190 3.5148444978418808D+09 (age_target - star_age)/age_sigma 191 530.2648054489 reducing max timestep prior to age target 191 3.4467212354178915D+09 (age_target - star_age)/age_sigma 192 519.9939135758 reducing max timestep prior to age target 192 3.3799604382423820D+09 (age_target - star_age)/age_sigma 193 509.9284395401 reducing max timestep prior to age target 193 3.3145348570103831D+09 (age_target - star_age)/age_sigma 194 500.0642749851 reducing max timestep prior to age target 194 3.2504177874030237D+09 (age_target - star_age)/age_sigma 195 490.3973937212 reducing max timestep prior to age target 195 3.1875830591878119D+09 (age_target - star_age)/age_sigma 196 480.9238500826 reducing max timestep prior to age target 196 3.1260050255369039D+09 (age_target - star_age)/age_sigma 197 471.6397773168 reducing max timestep prior to age target 197 3.0656585525590143D+09 (age_target - star_age)/age_sigma 198 462.5413860063 reducing max timestep prior to age target 198 3.0065190090406823D+09 (age_target - star_age)/age_sigma 199 453.6249625220 reducing max timestep prior to age target 199 2.9485622563927174D+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 1.9934217332743838D-13 log_rel_run_E_err -10.5162799392292960 (age_target - star_age)/age_sigma 200 444.8868675073 reducing max timestep prior to age target 200 2.8917646387977114D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 436.3235343930 reducing max timestep prior to age target 201 2.8361029735546055D+09 (age_target - star_age)/age_sigma 202 427.9314679410 reducing max timestep prior to age target 202 2.7815545416163616D+09 (age_target - star_age)/age_sigma 204 411.4830176950 reducing max timestep prior to age target 204 2.6746396150174046D+09 (age_target - star_age)/age_sigma 205 403.4232770744 reducing max timestep prior to age target 205 2.6222513009839153D+09 (age_target - star_age)/age_sigma 206 395.5247312663 reducing max timestep prior to age target 206 2.5709107532310953D+09 (age_target - star_age)/age_sigma 207 387.7841563744 reducing max timestep prior to age target 207 2.5205970164333324D+09 (age_target - star_age)/age_sigma 208 380.1983929802 reducing max timestep prior to age target 208 2.4712895543715248D+09 (age_target - star_age)/age_sigma 209 372.7643448540 reducing max timestep prior to age target 209 2.4229682415509529D+09 210 7.150876 5583.880 -0.108223 -0.108223 1.000000 1.000000 0.554041 0.005123 0.256923 -1.622012 508 0 7.6754E+00 7.150876 -0.025293 -45.497280 -1.766588 -99.000000 0.000000 0.425185 0.009413 0.019042 0.097852 10 2.1939E+09 2.011836 -0.108149 -99.000000 -99.000000 -6.847817 0.000000 0.000016 0.002105 0.020774 0.000E+00 max_dt rel_E_err 1.8772947563318954D-13 log_rel_run_E_err -10.4908719533263781 (age_target - star_age)/age_sigma 210 365.4789776903 reducing max timestep prior to age target 210 2.3756133549867930D+09 (age_target - star_age)/age_sigma 211 358.3393178698 reducing max timestep prior to age target 211 2.3292055661539159D+09 (age_target - star_age)/age_sigma 212 351.3424512458 reducing max timestep prior to age target 212 2.2837259330976968D+09 (age_target - star_age)/age_sigma 213 344.4855219542 reducing max timestep prior to age target 213 2.2391558927026014D+09 (age_target - star_age)/age_sigma 214 337.7657312485 reducing max timestep prior to age target 214 2.1954772531154084D+09 (age_target - star_age)/age_sigma 215 331.1803363569 reducing max timestep prior to age target 215 2.1526721863199596D+09 (age_target - star_age)/age_sigma 216 324.7266493631 reducing max timestep prior to age target 216 2.1107232208604193D+09 (age_target - star_age)/age_sigma 217 318.4020361092 reducing max timestep prior to age target 217 2.0696132347100697D+09 (age_target - star_age)/age_sigma 218 312.2039151204 reducing max timestep prior to age target 218 2.0293254482827272D+09 (age_target - star_age)/age_sigma 219 306.1297565514 reducing max timestep prior to age target 219 1.9898434175839314D+09 220 7.156591 5593.960 -0.095553 -0.095553 1.000000 1.000000 0.521946 0.005162 0.254408 -1.607876 508 0 7.5876E+00 7.156591 -0.020526 -45.086822 -1.750267 -99.000000 0.000000 0.457223 0.009412 0.018877 0.100615 10 2.6183E+09 2.035175 -0.095480 -99.000000 -99.000000 -6.856100 0.000000 0.000017 0.002111 0.020831 0.000E+00 max_dt rel_E_err 1.9466383799298096D-13 log_rel_run_E_err -10.4670256815541851 (age_target - star_age)/age_sigma 220 300.1770811537 reducing max timestep prior to age target 220 1.9511510274991117D+09 (age_target - star_age)/age_sigma 221 294.3434592640 reducing max timestep prior to age target 221 1.9132324852159886D+09 (age_target - star_age)/age_sigma 222 288.6265098121 reducing max timestep prior to age target 222 1.8760723137785277D+09 (age_target - star_age)/age_sigma 223 283.0238993492 reducing max timestep prior to age target 223 1.8396553457698164D+09 (age_target - star_age)/age_sigma 224 277.5333410956 reducing max timestep prior to age target 224 1.8039667171212788D+09 (age_target - star_age)/age_sigma 225 272.1525940070 reducing max timestep prior to age target 225 1.7689918610457120D+09 (age_target - star_age)/age_sigma 226 266.8794618603 reducing max timestep prior to age target 226 1.7347165020916567D+09 (age_target - star_age)/age_sigma 227 261.7117923564 reducing max timestep prior to age target 227 1.7011266503166828D+09 (age_target - star_age)/age_sigma 228 256.6474762426 reducing max timestep prior to age target 228 1.6682085955772080D+09 (age_target - star_age)/age_sigma 229 251.6844464512 reducing max timestep prior to age target 229 1.6359489019325228D+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 -99.000000 -99.000000 -6.863061 0.000000 0.000017 0.002116 0.020875 0.000E+00 max_dt rel_E_err 1.9084185690150519D-13 log_rel_run_E_err -10.4447945660272445 (age_target - star_age)/age_sigma 230 246.8206772555 reducing max timestep prior to age target 230 1.6043344021607313D+09 (age_target - star_age)/age_sigma 231 242.0541834438 reducing max timestep prior to age target 231 1.5733521923843756D+09 (age_target - star_age)/age_sigma 232 237.3830195082 reducing max timestep prior to age target 232 1.5429896268035469D+09 (age_target - star_age)/age_sigma 233 232.8052788514 reducing max timestep prior to age target 233 1.5132343125343351D+09 (age_target - star_age)/age_sigma 234 228.3190930078 reducing max timestep prior to age target 234 1.4840741045505071D+09 (age_target - star_age)/age_sigma 235 223.9226308810 reducing max timestep prior to age target 235 1.4554971007263560D+09 (age_target - star_age)/age_sigma 236 219.6140979967 reducing max timestep prior to age target 236 1.4274916369786878D+09 (age_target - star_age)/age_sigma 238 211.1693735436 reducing max timestep prior to age target 238 1.3726009280332584D+09 (age_target - star_age)/age_sigma 239 207.0314585615 reducing max timestep prior to age target 239 1.3457044806499977D+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 -15.477469 -99.000000 -6.868955 0.000000 0.000018 0.002120 0.020909 0.000E+00 max_dt rel_E_err 1.8342849112051662D-13 log_rel_run_E_err -10.4240770667483549 (age_target - star_age)/age_sigma 240 202.9763018791 reducing max timestep prior to age target 240 1.3193459622144027D+09 (age_target - star_age)/age_sigma 241 199.0022483304 reducing max timestep prior to age target 241 1.2935146141475191D+09 (age_target - star_age)/age_sigma 242 195.1076758526 reducing max timestep prior to age target 242 1.2681998930419731D+09 (age_target - star_age)/age_sigma 243 191.2909948244 reducing max timestep prior to age target 243 1.2433914663585382D+09 (age_target - star_age)/age_sigma 244 187.5506474167 reducing max timestep prior to age target 244 1.2190792082087722D+09 (age_target - star_age)/age_sigma 245 183.8851069572 reducing max timestep prior to age target 245 1.1952531952220016D+09 (age_target - star_age)/age_sigma 246 180.2928773069 reducing max timestep prior to age target 246 1.1719037024949665D+09 (age_target - star_age)/age_sigma 247 176.7724922496 reducing max timestep prior to age target 247 1.1490211996224718D+09 (age_target - star_age)/age_sigma 248 173.3225148935 reducing max timestep prior to age target 248 1.1265963468074265D+09 (age_target - star_age)/age_sigma 249 169.9415370844 reducing max timestep prior to age target 249 1.1046199910486827D+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 1.8772314409781272D-13 log_rel_run_E_err -10.4039282298297255 (age_target - star_age)/age_sigma 250 166.6281788316 reducing max timestep prior to age target 250 1.0830831624051137D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 163.3810877438 reducing max timestep prior to age target 251 1.0619770703344164D+09 (age_target - star_age)/age_sigma 252 160.1989384777 reducing max timestep prior to age target 252 1.0412931001051326D+09 (age_target - star_age)/age_sigma 253 157.0804321970 reducing max timestep prior to age target 253 1.0210228092804346D+09 (age_target - star_age)/age_sigma 254 154.0242960419 reducing max timestep prior to age target 254 1.0011579242722306D+09 (age_target - star_age)/age_sigma 255 151.0292826099 reducing max timestep prior to age target 255 9.8169033696419048D+08 (age_target - star_age)/age_sigma 256 148.0941694465 reducing max timestep prior to age target 256 9.6261210140231133D+08 (age_target - star_age)/age_sigma 257 145.2177585464 reducing max timestep prior to age target 257 9.4391543055166960D+08 (age_target - star_age)/age_sigma 258 142.3988758643 reducing max timestep prior to age target 258 9.2559269311804104D+08 (age_target - star_age)/age_sigma 259 139.6363708359 reducing max timestep prior to age target 259 9.0763641043308496D+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 1.8236387759728329D-13 log_rel_run_E_err -10.3845105558445585 (age_target - star_age)/age_sigma 260 136.9291159080 reducing max timestep prior to age target 260 8.9003925340182781D+08 (age_target - star_age)/age_sigma 261 134.2760060786 reducing max timestep prior to age target 261 8.7279403951119566D+08 (age_target - star_age)/age_sigma 262 131.6759584459 reducing max timestep prior to age target 262 8.5589372989837646D+08 (age_target - star_age)/age_sigma 263 129.1279117658 reducing max timestep prior to age target 263 8.3933142647781372D+08 (age_target - star_age)/age_sigma 264 126.6308260193 reducing max timestep prior to age target 264 8.2310036912566233D+08 (age_target - star_age)/age_sigma 265 124.1836819878 reducing max timestep prior to age target 265 8.0719393292055368D+08 (age_target - star_age)/age_sigma 266 121.7854808369 reducing max timestep prior to age target 266 7.9160562543954706D+08 (age_target - star_age)/age_sigma 267 119.4352437089 reducing max timestep prior to age target 267 7.7632908410816097D+08 (age_target - star_age)/age_sigma 268 117.1320113236 reducing max timestep prior to age target 268 7.6135807360340214D+08 (age_target - star_age)/age_sigma 269 114.8748435860 reducing max timestep prior to age target 269 7.4668648330873871D+08 270 7.174677 5621.171 -0.057325 -0.057325 1.000000 1.000000 0.427366 0.005328 0.247233 -1.562345 512 0 7.1577E+00 7.174677 -0.005631 -43.845427 -1.696279 -99.000000 0.000000 0.551659 0.009340 0.018404 0.110116 10 3.8372E+09 2.108517 -0.057261 -15.477469 -99.000000 -6.881523 0.000000 0.000019 0.002128 0.020976 0.000E+00 max_dt rel_E_err 1.9017288577361011D-13 log_rel_run_E_err -10.3660001532428598 (age_target - star_age)/age_sigma 270 112.6628192031 reducing max timestep prior to age target 270 7.3230832481996870D+08 (age_target - star_age)/age_sigma 271 110.4950353078 reducing max timestep prior to age target 271 7.1821772950097418D+08 (age_target - star_age)/age_sigma 273 106.2461788732 reducing max timestep prior to age target 273 6.9060016267574406D+08 (age_target - star_age)/age_sigma 274 104.1642392202 reducing max timestep prior to age target 274 6.7706755493138170D+08 (age_target - star_age)/age_sigma 275 102.1239383603 reducing max timestep prior to age target 275 6.6380559934190655D+08 (age_target - star_age)/age_sigma 276 100.1244435176 reducing max timestep prior to age target 276 6.5080888286422014D+08 (age_target - star_age)/age_sigma 277 98.1649385717 reducing max timestep prior to age target 277 6.3807210071608829D+08 (age_target - star_age)/age_sigma 278 96.2446237248 reducing max timestep prior to age target 278 6.2559005421091890D+08 (age_target - star_age)/age_sigma 279 94.3627151747 reducing max timestep prior to age target 279 6.1335764863585281D+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 9 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 1.9240759779151795D-13 log_rel_run_E_err -10.3478578439769269 (age_target - star_age)/age_sigma 280 92.5184447957 reducing max timestep prior to age target 280 6.0136989117228794D+08 (age_target - star_age)/age_sigma 281 90.7110598243 reducing max timestep prior to age target 281 5.8962188885799408D+08 (age_target - star_age)/age_sigma 282 88.9398225523 reducing max timestep prior to age target 282 5.7810884658998680D+08 (age_target - star_age)/age_sigma 283 87.2040100257 reducing max timestep prior to age target 283 5.6682606516733885D+08 (age_target - star_age)/age_sigma 284 85.5029137497 reducing max timestep prior to age target 284 5.5576893937314463D+08 (age_target - star_age)/age_sigma 285 83.8358393992 reducing max timestep prior to age target 285 5.4493295609483385D+08 (age_target - star_age)/age_sigma 286 82.2021065357 reducing max timestep prior to age target 286 5.3431369248209000D+08 (age_target - star_age)/age_sigma 287 80.6010483295 reducing max timestep prior to age target 287 5.2390681414160061D+08 (age_target - star_age)/age_sigma 288 79.0320112874 reducing max timestep prior to age target 288 5.1370807336792088D+08 (age_target - star_age)/age_sigma 289 77.4943549861 reducing max timestep prior to age target 289 5.0371330740971470D+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 6 4.0756E+09 2.124106 -0.049440 -15.352530 -99.000000 -6.886789 0.000000 0.000019 0.002131 0.021000 0.000E+00 max_dt rel_E_err 1.9466529781687304D-13 log_rel_run_E_err -10.3305042143949155 (age_target - star_age)/age_sigma 290 75.9874518109 reducing max timestep prior to age target 290 4.9391843677067327D+08 (age_target - star_age)/age_sigma 291 74.5106866991 reducing max timestep prior to age target 291 4.8431946354441214D+08 (age_target - star_age)/age_sigma 292 73.0634568896 reducing max timestep prior to age target 292 4.7491246978267622D+08 (age_target - star_age)/age_sigma 293 71.6451716763 reducing max timestep prior to age target 293 4.6569361589617443D+08 (age_target - star_age)/age_sigma 294 70.2552521673 reducing max timestep prior to age target 294 4.5665913908740330D+08 (age_target - star_age)/age_sigma 295 68.8931310484 reducing max timestep prior to age target 295 4.4780535181480789D+08 (age_target - star_age)/age_sigma 296 67.5582523519 reducing max timestep prior to age target 296 4.3912864028766394D+08 (age_target - star_age)/age_sigma 297 66.2500712294 reducing max timestep prior to age target 297 4.3062546299106312D+08 (age_target - star_age)/age_sigma 298 64.9680537293 reducing max timestep prior to age target 298 4.2229234924039412D+08 (age_target - star_age)/age_sigma 299 63.7116765792 reducing max timestep prior to age target 299 4.1412589776473856D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.180000 5627.849 -0.046597 -0.046597 1.000000 1.000000 0.401322 0.005395 0.245369 -1.548768 515 0 6.9033E+00 7.180000 -0.001300 -43.493812 -1.679728 -99.000000 0.000000 0.577670 0.009291 0.018280 0.113161 5 4.1634E+09 2.129966 -0.046536 -99.000000 -99.000000 -6.888744 0.000000 0.000020 0.002132 0.021008 0.000E+00 max_dt rel_E_err 1.8190752379831545D-13 log_rel_run_E_err -10.3137033747338034 (age_target - star_age)/age_sigma 300 62.4804269721 reducing max timestep prior to age target 300 4.0612277531859589D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.2738023571 reducing max timestep prior to age target 301 3.9827971532137632D+08 (age_target - star_age)/age_sigma 302 60.0913102345 reducing max timestep prior to age target 302 3.9059351652410126D+08 (age_target - star_age)/age_sigma 303 58.9324679543 reducing max timestep prior to age target 303 3.8306104170277119D+08 (age_target - star_age)/age_sigma 304 57.7968025197 reducing max timestep prior to age target 304 3.7567921637786818D+08 (age_target - star_age)/age_sigma 305 56.6838503938 reducing max timestep prior to age target 305 3.6844502755946302D+08 (age_target - star_age)/age_sigma 306 55.5931573104 reducing max timestep prior to age target 306 3.6135552251742601D+08 (age_target - star_age)/age_sigma 308 53.4553988669 reducing max timestep prior to age target 308 3.4746009263503361D+08 (age_target - star_age)/age_sigma 309 52.4078972296 reducing max timestep prior to age target 309 3.4065133199266148D+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 1.8785302056567147D-13 log_rel_run_E_err -10.2974714322752643 (age_target - star_age)/age_sigma 310 51.3813456251 reducing max timestep prior to age target 310 3.3397874656313705D+08 (age_target - star_age)/age_sigma 311 50.3753250526 reducing max timestep prior to age target 311 3.2743961284220266D+08 (age_target - star_age)/age_sigma 312 49.3894248916 reducing max timestep prior to age target 312 3.2103126179568672D+08 (age_target - star_age)/age_sigma 313 48.4232427339 reducing max timestep prior to age target 313 3.1475107777010155D+08 (age_target - star_age)/age_sigma 314 47.4763842192 reducing max timestep prior to age target 314 3.0859649742502785D+08 (age_target - star_age)/age_sigma 315 46.5484628749 reducing max timestep prior to age target 315 3.0256500868685579D+08 (age_target - star_age)/age_sigma 316 45.6390999575 reducing max timestep prior to age target 316 2.9665414972344732D+08 (age_target - star_age)/age_sigma 317 44.7479242984 reducing max timestep prior to age target 317 2.9086150793930626D+08 (age_target - star_age)/age_sigma 318 43.8745721524 reducing max timestep prior to age target 318 2.8518471899084854D+08 (age_target - star_age)/age_sigma 319 43.0186870494 reducing max timestep prior to age target 319 2.7962146582135963D+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 -15.653560 -99.000000 -6.891702 0.000000 0.000020 0.002134 0.021021 0.000E+00 max_dt rel_E_err 1.9917230003025630D-13 log_rel_run_E_err -10.2819199623648743 (age_target - star_age)/age_sigma 320 42.1799196485 reducing max timestep prior to age target 320 2.7416947771526146D+08 (age_target - star_age)/age_sigma 321 41.3579275956 reducing max timestep prior to age target 321 2.6882652937128353D+08 (age_target - star_age)/age_sigma 322 40.5523753837 reducing max timestep prior to age target 322 2.6359043999418640D+08 (age_target - star_age)/age_sigma 323 39.7629342161 reducing max timestep prior to age target 323 2.5845907240463161D+08 (age_target - star_age)/age_sigma 324 38.9892818718 reducing max timestep prior to age target 324 2.5343033216686726D+08 (age_target - star_age)/age_sigma 325 38.2311025744 reducing max timestep prior to age target 325 2.4850216673385906D+08 (age_target - star_age)/age_sigma 326 37.4880868630 reducing max timestep prior to age target 326 2.4367256460951042D+08 (age_target - star_age)/age_sigma 327 36.7599314658 reducing max timestep prior to age target 327 2.3893955452764797D+08 (age_target - star_age)/age_sigma 328 36.0463391765 reducing max timestep prior to age target 328 2.3430120464742374D+08 (age_target - star_age)/age_sigma 329 35.3470187330 reducing max timestep prior to age target 329 2.2975562176480293D+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 1.8517724894516345D-13 log_rel_run_E_err -10.2666315935297980 (age_target - star_age)/age_sigma 330 34.6616846984 reducing max timestep prior to age target 330 2.2530095053983593D+08 (age_target - star_age)/age_sigma 331 33.9900573445 reducing max timestep prior to age target 331 2.2093537273936749D+08 (age_target - star_age)/age_sigma 332 33.3318625377 reducing max timestep prior to age target 332 2.1665710649490833D+08 (age_target - star_age)/age_sigma 333 32.6868316270 reducing max timestep prior to age target 333 2.1246440557533836D+08 (age_target - star_age)/age_sigma 334 32.0547013345 reducing max timestep prior to age target 334 2.0835555867416000D+08 (age_target - star_age)/age_sigma 335 31.4352136478 reducing max timestep prior to age target 335 2.0432888871100521D+08 (age_target - star_age)/age_sigma 336 30.8281157149 reducing max timestep prior to age target 336 2.0038275214711380D+08 (age_target - star_age)/age_sigma 337 30.2331597407 reducing max timestep prior to age target 337 1.9651553831449986D+08 (age_target - star_age)/age_sigma 338 29.6501028859 reducing max timestep prior to age target 338 1.9272566875853825D+08 (age_target - star_age)/age_sigma 339 29.0787071683 reducing max timestep prior to age target 339 1.8901159659369564D+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 2.0659418981445928D-13 log_rel_run_E_err -10.2518859803674829 (age_target - star_age)/age_sigma 340 28.5187393649 reducing max timestep prior to age target 340 1.8537180587215042D+08 (age_target - star_age)/age_sigma 341 27.9699709177 reducing max timestep prior to age target 341 1.8180481096503639D+08 (age_target - star_age)/age_sigma 343 26.8943847611 reducing max timestep prior to age target 343 1.7481350094709110D+08 (age_target - star_age)/age_sigma 344 26.3673475444 reducing max timestep prior to age target 344 1.7138775903829765D+08 (age_target - star_age)/age_sigma 345 25.8508510720 reducing max timestep prior to age target 345 1.6803053196768093D+08 (age_target - star_age)/age_sigma 346 25.3446845290 reducing max timestep prior to age target 346 1.6474044943847656D+08 (age_target - star_age)/age_sigma 347 24.8486413169 reducing max timestep prior to age target 347 1.6151616855985641D+08 (age_target - star_age)/age_sigma 348 24.3625189690 reducing max timestep prior to age target 348 1.5835637329880810D+08 (age_target - star_age)/age_sigma 349 23.8861190682 reducing max timestep prior to age target 349 1.5525977394298077D+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 1.9111700241463235D-13 log_rel_run_E_err -10.2375219466495899 (age_target - star_age)/age_sigma 350 23.4192471653 reducing max timestep prior to age target 350 1.5222510657427025D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9617127005 reducing max timestep prior to age target 351 1.4925113255293369D+08 (age_target - star_age)/age_sigma 352 22.5133289249 reducing max timestep prior to age target 352 1.4633663801202393D+08 (age_target - star_age)/age_sigma 353 22.0739128249 reducing max timestep prior to age target 353 1.4348043336193275D+08 (age_target - star_age)/age_sigma 354 21.6432850469 reducing max timestep prior to age target 354 1.4068135280484295D+08 (age_target - star_age)/age_sigma 355 21.2212698244 reducing max timestep prior to age target 355 1.3793825385889530D+08 (age_target - star_age)/age_sigma 356 20.8076949064 reducing max timestep prior to age target 356 1.3525001689186573D+08 (age_target - star_age)/age_sigma 357 20.4023914868 reducing max timestep prior to age target 357 1.3261554466417789D+08 (age_target - star_age)/age_sigma 358 20.0051941355 reducing max timestep prior to age target 358 1.3003376188104248D+08 (age_target - star_age)/age_sigma 359 19.6159407313 reducing max timestep prior to age target 359 1.2750361475357151D+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 -99.000000 -99.000000 -6.895072 0.000000 0.000020 0.002136 0.021034 0.000E+00 max_dt rel_E_err 1.8229853833008779D-13 log_rel_run_E_err -10.2240663575698409 (age_target - star_age)/age_sigma 360 19.2344723952 reducing max timestep prior to age target 360 1.2502407056864834D+08 (age_target - star_age)/age_sigma 361 18.8606334258 reducing max timestep prior to age target 361 1.2259411726742458D+08 (age_target - star_age)/age_sigma 362 18.4942712357 reducing max timestep prior to age target 362 1.2021276303222466D+08 (age_target - star_age)/age_sigma 363 18.1352362895 reducing max timestep prior to age target 363 1.1787903588172913D+08 (age_target - star_age)/age_sigma 364 17.7833820422 reducing max timestep prior to age target 364 1.1559198327424431D+08 (age_target - star_age)/age_sigma 365 17.4385648798 reducing max timestep prior to age target 365 1.1335067171890831D+08 (age_target - star_age)/age_sigma 366 17.1006440607 reducing max timestep prior to age target 366 1.1115418639467907D+08 (age_target - star_age)/age_sigma 367 16.7694816580 reducing max timestep prior to age target 367 1.0900163077693367D+08 (age_target - star_age)/age_sigma 368 16.4449425033 reducing max timestep prior to age target 368 1.0689212627154446D+08 (age_target - star_age)/age_sigma 369 16.1268941317 reducing max timestep prior to age target 369 1.0482481185626316D+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 1.8485230177973958D-13 log_rel_run_E_err -10.2109412586925234 (age_target - star_age)/age_sigma 370 15.8152067276 reducing max timestep prior to age target 370 1.0279884372928619D+08 (age_target - star_age)/age_sigma 371 15.5097530715 reducing max timestep prior to age target 371 1.0081339496484947D+08 (age_target - star_age)/age_sigma 372 15.2104084886 reducing max timestep prior to age target 372 9.8867655175701141D+07 (age_target - star_age)/age_sigma 373 14.9170507973 reducing max timestep prior to age target 373 9.6960830182335854D+07 (age_target - star_age)/age_sigma 374 14.6295602598 reducing max timestep prior to age target 374 9.5092141688838959D+07 (age_target - star_age)/age_sigma 375 14.3478195331 reducing max timestep prior to age target 375 9.3260826965210915D+07 (age_target - star_age)/age_sigma 376 14.0717136209 reducing max timestep prior to age target 376 9.1466138536055565D+07 (age_target - star_age)/age_sigma 378 13.5305460331 reducing max timestep prior to age target 378 8.7948549214912415D+07 (age_target - star_age)/age_sigma 379 13.2653739150 reducing max timestep prior to age target 379 8.6224930447551727D+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 1.8354947667054525D-13 log_rel_run_E_err -10.1980455692807510 (age_target - star_age)/age_sigma 380 13.0055052393 reducing max timestep prior to age target 380 8.4535784055538177D+07 (age_target - star_age)/age_sigma 381 12.7508339371 reducing max timestep prior to age target 381 8.2880420591364861D+07 (age_target - star_age)/age_sigma 382 12.5012560610 reducing max timestep prior to age target 382 8.1258164396474838D+07 (age_target - star_age)/age_sigma 383 12.2566697424 reducing max timestep prior to age target 383 7.9668353325482368D+07 (age_target - star_age)/age_sigma 384 12.0169751501 reducing max timestep prior to age target 384 7.8110338475910187D+07 (age_target - star_age)/age_sigma 385 11.7820744497 reducing max timestep prior to age target 385 7.6583483923329353D+07 (age_target - star_age)/age_sigma 386 11.5518717634 reducing max timestep prior to age target 386 7.5087166461800575D+07 (age_target - star_age)/age_sigma 387 11.3262731307 reducing max timestep prior to age target 387 7.3620775349501610D+07 (age_target - star_age)/age_sigma 388 11.1051864707 reducing max timestep prior to age target 388 7.2183712059449196D+07 (age_target - star_age)/age_sigma 389 10.8885215439 reducing max timestep prior to age target 389 7.0775390035198212D+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 -99.000000 -99.000000 -6.896335 0.000000 0.000020 0.002137 0.021038 0.000E+00 max_dt rel_E_err 1.8031995669296540D-13 log_rel_run_E_err -10.1854602394991236 (age_target - star_age)/age_sigma 390 10.6761899156 reducing max timestep prior to age target 390 6.9395234451431274D+07 (age_target - star_age)/age_sigma 391 10.4681049199 reducing max timestep prior to age target 391 6.8042681979340553D+07 (age_target - star_age)/age_sigma 392 10.2641816241 reducing max timestep prior to age target 392 6.6717180556691170D+07 (age_target - star_age)/age_sigma 393 10.0643367942 reducing max timestep prior to age target 393 6.5418189162494659D+07 (age_target - star_age)/age_sigma 394 9.8684888610 reducing max timestep prior to age target 394 6.4145177596182823D+07 (age_target - star_age)/age_sigma 395 9.6765578863 reducing max timestep prior to age target 395 6.2897626261196136D+07 (age_target - star_age)/age_sigma 396 9.4884655312 reducing max timestep prior to age target 396 6.1675025952910423D+07 (age_target - star_age)/age_sigma 397 9.3041350232 reducing max timestep prior to age target 397 6.0476877650789261D+07 (age_target - star_age)/age_sigma 398 9.1234911253 reducing max timestep prior to age target 398 5.9302692314710617D+07 (age_target - star_age)/age_sigma 399 8.9464601054 reducing max timestep prior to age target 399 5.8151990685354233D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.185961 5634.528 -0.034901 -0.034901 1.000000 1.000000 0.373028 0.005485 0.243428 -1.533560 515 0 6.0522E+00 7.185961 0.003516 -43.106409 -1.660879 -99.000000 0.000000 0.605933 0.009218 0.018151 0.116720 3 4.5125E+09 2.153883 -0.034845 -15.352530 -99.000000 -6.896617 0.000000 0.000021 0.002137 0.021039 0.000E+00 max_dt rel_E_err 1.8674122308471632D-13 log_rel_run_E_err -10.1732946737886945 (age_target - star_age)/age_sigma 400 8.7729697059 reducing max timestep prior to age target 400 5.7024303088584900D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.6029491144 reducing max timestep prior to age target 401 5.5919169243750572D+07 (age_target - star_age)/age_sigma 402 8.4363289347 reducing max timestep prior to age target 402 5.4836138075812340D+07 (age_target - star_age)/age_sigma 403 8.2730411587 reducing max timestep prior to age target 403 5.3774767531233788D+07 (age_target - star_age)/age_sigma 404 8.1130191381 reducing max timestep prior to age target 404 5.2734624397546768D+07 (age_target - star_age)/age_sigma 405 7.9561975579 reducing max timestep prior to age target 405 5.1715284126533508D+07 (age_target - star_age)/age_sigma 406 7.8025124094 reducing max timestep prior to age target 406 5.0716330660940170D+07 (age_target - star_age)/age_sigma 407 7.6519009638 reducing max timestep prior to age target 407 4.9737356264658928D+07 (age_target - star_age)/age_sigma 408 7.5043017471 reducing max timestep prior to age target 408 4.8777961356303215D+07 (age_target - star_age)/age_sigma 409 7.3596545148 reducing max timestep prior to age target 409 4.7837754346115112D+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 -15.477469 -99.000000 -6.896847 0.000000 0.000021 0.002137 0.021040 0.000E+00 max_dt rel_E_err 1.7579838792428978D-13 log_rel_run_E_err -10.1615612553600361 (age_target - star_age)/age_sigma 410 7.2179002271 reducing max timestep prior to age target 410 4.6916351476130486D+07 (age_target - star_age)/age_sigma 411 7.0789810252 reducing max timestep prior to age target 411 4.6013376663545609D+07 (age_target - star_age)/age_sigma 412 6.9428402073 reducing max timestep prior to age target 412 4.5128461347211838D+07 (age_target - star_age)/age_sigma 414 6.6760042042 reducing max timestep prior to age target 414 4.3394027327198982D+07 (age_target - star_age)/age_sigma 415 6.5452545627 reducing max timestep prior to age target 415 4.2544154657391548D+07 (age_target - star_age)/age_sigma 416 6.4171199140 reducing max timestep prior to age target 416 4.1711279440981865D+07 (age_target - star_age)/age_sigma 417 6.2915479583 reducing max timestep prior to age target 417 4.0895061728899956D+07 (age_target - star_age)/age_sigma 418 6.1684874417 reducing max timestep prior to age target 418 4.0095168371058464D+07 (age_target - star_age)/age_sigma 419 6.0478881354 reducing max timestep prior to age target 419 3.9311272880374908D+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 1.9294171664210943D-13 log_rel_run_E_err -10.1486408185617947 (age_target - star_age)/age_sigma 420 5.9297008153 reducing max timestep prior to age target 420 3.8543055299505234D+07 (age_target - star_age)/age_sigma 421 5.8138772416 reducing max timestep prior to age target 421 3.7790202070252419D+07 (age_target - star_age)/age_sigma 422 5.7003701393 reducing max timestep prior to age target 422 3.7052405905584335D+07 (age_target - star_age)/age_sigma 423 5.5891331791 reducing max timestep prior to age target 423 3.6329365664210320D+07 (age_target - star_age)/age_sigma 424 5.4801209581 reducing max timestep prior to age target 424 3.5620786227663040D+07 (age_target - star_age)/age_sigma 425 5.3732889815 reducing max timestep prior to age target 425 3.4926378379847527D+07 (age_target - star_age)/age_sigma 426 5.2685936445 reducing max timestep prior to age target 426 3.4245858688987732D+07 (age_target - star_age)/age_sigma 427 5.1659922141 reducing max timestep prior to age target 427 3.3578949391944885D+07 (age_target - star_age)/age_sigma 428 5.0654428124 reducing max timestep prior to age target 428 3.2925378280843735D+07 (age_target - star_age)/age_sigma 429 4.9661204044 reducing max timestep prior to age target 429 3.2279782628277779D+07 430 7.186406 5634.998 -0.034040 -0.034040 1.000000 1.000000 0.370952 0.005493 0.243284 -1.532428 515 0 5.8100E+00 7.186406 0.003874 -43.077749 -1.659458 -99.000000 0.000000 0.608007 0.009211 0.018142 0.116992 3 4.5379E+09 2.155662 -0.033984 -99.000000 -99.000000 -6.897196 0.000000 0.000021 0.002137 0.021041 0.000E+00 max_dt rel_E_err 1.8821912593800613D-13 log_rel_run_E_err -10.1375613803369617 (age_target - star_age)/age_sigma 430 4.8667979963 reducing max timestep prior to age target 430 3.1634186975711823D+07 (age_target - star_age)/age_sigma 431 4.7674755882 remaining steps and years until age target 431 48 3.0988591323146820D+07 (age_target - star_age)/age_sigma 432 4.6681531801 reducing max timestep prior to age target 432 3.0342995670580864D+07 (age_target - star_age)/age_sigma 433 4.5688307720 reducing max timestep prior to age target 433 2.9697400018014908D+07 (age_target - star_age)/age_sigma 434 4.4695083639 reducing max timestep prior to age target 434 2.9051804365448952D+07 (age_target - star_age)/age_sigma 435 4.3701859558 remaining steps and years until age target 435 44 2.8406208712883949D+07 (age_target - star_age)/age_sigma 436 4.2708635477 reducing max timestep prior to age target 436 2.7760613060317993D+07 (age_target - star_age)/age_sigma 437 4.1715411397 reducing max timestep prior to age target 437 2.7115017407752037D+07 (age_target - star_age)/age_sigma 438 4.0722187316 reducing max timestep prior to age target 438 2.6469421755186081D+07 (age_target - star_age)/age_sigma 439 3.9728963235 remaining steps and years until age target 439 40 2.5823826102621078D+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 1.9550174417441963D-13 log_rel_run_E_err -10.1269331241427452 (age_target - star_age)/age_sigma 440 3.8735739154 reducing max timestep prior to age target 440 2.5178230450055122D+07 (age_target - star_age)/age_sigma 441 3.7742515073 reducing max timestep prior to age target 441 2.4532634797489166D+07 (age_target - star_age)/age_sigma 442 3.6749290992 reducing max timestep prior to age target 442 2.3887039144923210D+07 (age_target - star_age)/age_sigma 443 3.5756066911 remaining steps and years until age target 443 36 2.3241443492358208D+07 (age_target - star_age)/age_sigma 444 3.4762842830 reducing max timestep prior to age target 444 2.2595847839792252D+07 (age_target - star_age)/age_sigma 445 3.3769618750 reducing max timestep prior to age target 445 2.1950252187226295D+07 (age_target - star_age)/age_sigma 446 3.2776394669 reducing max timestep prior to age target 446 2.1304656534660339D+07 (age_target - star_age)/age_sigma 447 3.1783170588 remaining steps and years until age target 447 32 2.0659060882095337D+07 (age_target - star_age)/age_sigma 448 3.0789946507 reducing max timestep prior to age target 448 2.0013465229529381D+07 (age_target - star_age)/age_sigma 449 2.9796722426 remaining steps and years until age target 449 30 1.9367869576964378D+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 1.8327721956389045D-13 log_rel_run_E_err -10.1165277327633465 (age_target - star_age)/age_sigma 450 2.8803498345 reducing max timestep prior to age target 450 1.8722273924398422D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7810274264 remaining steps and years until age target 451 28 1.8076678271833420D+07 (age_target - star_age)/age_sigma 452 2.6817050183 reducing max timestep prior to age target 452 1.7431082619267464D+07 (age_target - star_age)/age_sigma 453 2.5823826103 remaining steps and years until age target 453 26 1.6785486966702461D+07 (age_target - star_age)/age_sigma 454 2.4830602022 reducing max timestep prior to age target 454 1.6139891314136505D+07 (age_target - star_age)/age_sigma 455 2.3837377941 remaining steps and years until age target 455 24 1.5494295661571503D+07 (age_target - star_age)/age_sigma 456 2.2844153860 reducing max timestep prior to age target 456 1.4848700009005547D+07 (age_target - star_age)/age_sigma 457 2.1850929779 remaining steps and years until age target 457 22 1.4203104356440544D+07 (age_target - star_age)/age_sigma 458 2.0857705698 remaining steps and years until age target 458 21 1.3557508703875542D+07 (age_target - star_age)/age_sigma 459 1.9864481617 reducing max timestep prior to age target 459 1.2911913051309586D+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 -15.255620 -99.000000 -6.897640 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt rel_E_err 1.9913366047896694D-13 log_rel_run_E_err -10.1060822891483415 (age_target - star_age)/age_sigma 460 1.8871257537 reducing max timestep prior to age target 460 1.2266317398743629D+07 (age_target - star_age)/age_sigma 461 1.7878033456 remaining steps and years until age target 461 18 1.1620721746178627D+07 (age_target - star_age)/age_sigma 462 1.6884809375 reducing max timestep prior to age target 462 1.0975126093612671D+07 (age_target - star_age)/age_sigma 463 1.5891585294 remaining steps and years until age target 463 16 1.0329530441047668D+07 (age_target - star_age)/age_sigma 464 1.4898361213 reducing max timestep prior to age target 464 9.6839347884817123D+06 (age_target - star_age)/age_sigma 465 1.3905137132 remaining steps and years until age target 465 14 9.0383391359167099D+06 (age_target - star_age)/age_sigma 466 1.2911913051 reducing max timestep prior to age target 466 8.3927434833507538D+06 (age_target - star_age)/age_sigma 467 1.1918688970 remaining steps and years until age target 467 12 7.7471478307857513D+06 (age_target - star_age)/age_sigma 468 1.0925464890 reducing max timestep prior to age target 468 7.1015521782197952D+06 (age_target - star_age)/age_sigma 469 0.9932240809 remaining steps and years until age target 469 10 6.4559565256547928D+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 1.8369460013185367D-13 log_rel_run_E_err -10.0961591674726385 (age_target - star_age)/age_sigma 470 0.8939016728 reducing max timestep prior to age target 470 5.8103608730888367D+06 (age_target - star_age)/age_sigma 471 0.7945792647 remaining steps and years until age target 471 8 5.1647652205238342D+06 (age_target - star_age)/age_sigma 472 0.6952568566 reducing max timestep prior to age target 472 4.5191695679578781D+06 (age_target - star_age)/age_sigma 473 0.5959344485 remaining steps and years until age target 473 6 3.8735739153928757D+06 (age_target - star_age)/age_sigma 474 0.4966120404 reducing max timestep prior to age target 474 3.2279782628269196D+06 (age_target - star_age)/age_sigma 475 0.3972896323 remaining steps and years until age target 475 4 2.5823826102619171D+06 (age_target - star_age)/age_sigma 476 0.2979672243 reducing max timestep prior to age target 476 1.9367869576959610D+06 (age_target - star_age)/age_sigma 477 0.1986448162 reducing max timestep prior to age target 477 1.2911913051300049D+06 (age_target - star_age)/age_sigma 478 0.0993224081 remaining steps and years until age target 478 1 6.4559565256595612D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07 save outputs/best.mod 479 save outputs/best.profile for model 479 save LOGS/profile11.data for model 479 have reached age_target save LOGS/profile11.data for model 479 solver retries 4 varcontrol dt limit 122 max increase dt limit 1608 lgRho_cntr dt limit 55 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07 have reached age_target runtime (minutes), retries, steps 3.03 0 479 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 479 7.186963 5635.588 -0.032965 -0.032965 1.000000 1.000000 0.368362 0.005502 0.243095 -1.531013 515 0 5.8100E+00 7.186963 0.004320 -43.041936 -1.657677 -99.000000 0.000000 0.610595 0.009203 0.018129 0.117333 3 4.5695E+09 2.157886 -0.032909 -99.000000 -99.000000 -6.897921 0.000000 0.000021 0.002138 0.021044 0.000E+00 max_dt rel_E_err 1.9054839129469475D-13 log_rel_run_E_err -10.0872573810507067 Teff 5635.5878078369 radius 1.0099970103 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 99.9402149537 M_H 0.0294662156 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 868.2578595213 log_R 0.0043200882 delta_nu 139.4758215533 nu_max 3053.6692076804 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 333656.0660248250 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 "8f7f3a3" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251201" "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 3.3351283960191236E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383766992E+03 1.0231407131234238E+00 -1.7395981939735516E-03 9.9353665865795134E-03 1.3680762272705050E+02 2.9640776267829306E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191236E+05 0 0 0 0 0 0 0 3 3.3365606602482504E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368751E+03 1.0099970103007712E+00 2.9466215561576154E-02 4.3200882264055936E-03 1.3947582155333157E+02 3.0536692076803915E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482504E+05 0 0 0 0 0 0 0 2 3.3468070564325486E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272648E+03 1.0622782375814108E+00 -1.2788199776276491E-02 2.6238284372325182E-02 1.2938435093833905E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325486E+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 3.9251986560953145D-01 20 5.954594 4382.396 -12.854776 -12.854776 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396289 400 0 7.1957E-01 5.954587 0.952983 -99.000000 -14.252641 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071334 3 1.0486E+01 -1.867324 1.427507 -99.000000 -99.000000 -7.668684 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.9793094839800712D-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 -21.674160 -99.000000 -7.004266 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128502533844624D-08 finished relax to begin radiative core 66 1.2918549061363610D-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 2.7267460055016237D-13 log_rel_run_E_err -11.5615340654608936 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 2.7137879450811331D-13 log_rel_run_E_err -11.2655422429125736 30 6.624871 4382.311 -4.877896 -4.877896 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -2.7037E+00 6.624871 0.260027 -99.000000 -6.275642 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.1819E-02 0.163108 0.041561 -20.169010 -99.000000 -6.921033 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5582912240461272D-13 log_rel_run_E_err -11.0934901314382195 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 -20.293948 -99.000000 -6.920788 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5286727781541666D-13 log_rel_run_E_err -10.9715629329035238 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 2.6471463132247629D-13 log_rel_run_E_err -10.8762522247171773 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 2.4934998665315596D-13 log_rel_run_E_err -10.7982012163980396 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 -20.072100 -99.000000 -6.920097 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6397349210763449D-13 log_rel_run_E_err -10.7319516207095784 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 -20.771070 -99.000000 -6.920087 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6396987419161544D-13 log_rel_run_E_err -10.6746937465470637 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 2.4839937978029769D-13 log_rel_run_E_err -10.6251545991781313 __________________________________________________________________________________________________________________________________________________ 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 -20.293948 -99.000000 -6.919664 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4271908077407971D-13 log_rel_run_E_err -10.5790363862978207 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 2.3806450748551710D-13 log_rel_run_E_err -10.5402892839197904 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 -20.470040 -99.000000 -6.903948 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6682418255043199D-13 log_rel_run_E_err -10.4860006112576247 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 2.5859266454673320D-13 log_rel_run_E_err -10.4750245528118544 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 2.2828694694848537D-13 log_rel_run_E_err -10.5591917385645964 150 6.874453 4588.938 -2.201637 -2.201637 1.000000 1.000000 0.711256 0.000946 0.269993 -2.192222 473 0 6.0270E+00 6.874453 0.033990 -99.000000 -3.598388 -99.000000 0.000000 0.270017 0.008783 0.018725 0.098159 4 1.4735E+07 1.318979 -0.330478 -99.000000 -99.000000 -6.724419 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 1.9292521857731306D-13 log_rel_run_E_err -10.4327704194305415 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 1.7191579365405567D-13 log_rel_run_E_err -10.4132130840149646 (age_target - star_age)/age_sigma 168 694.7983444838 reducing max timestep prior to age target 168 4.5161892391449051D+09 170 7.130814 5598.043 -0.158242 -0.158242 1.000000 1.000000 0.708772 0.003375 0.269716 -1.718416 510 0 6.9251E+00 7.130814 -0.051981 -47.215485 -1.763117 -99.000000 0.000000 0.272149 0.008786 0.018709 0.085247 5 6.8741E+07 1.901359 -0.157124 -15.954590 -99.000000 -6.810200 0.000000 0.001147 0.001953 0.019079 0.000E+00 max increase rel_E_err 1.8454650003327615D-13 log_rel_run_E_err -10.4443164476355559 (age_target - star_age)/age_sigma 175 680.8615072275 reducing max timestep prior to age target 175 4.4255997969790564D+09 (age_target - star_age)/age_sigma 178 666.7877671381 reducing max timestep prior to age target 178 4.3341204863973875D+09 180 7.131825 5617.589 -0.141083 -0.141083 1.000000 1.000000 0.691108 0.004709 0.268086 -1.672565 502 0 7.7169E+00 7.131825 -0.046960 -47.039592 -1.798073 -99.000000 0.000000 0.289588 0.008799 0.018611 0.087592 10 3.3092E+08 1.926134 -0.141026 -99.000000 -99.000000 -6.821127 0.000000 0.000014 0.001956 0.019303 0.000E+00 max increase rel_E_err 1.7597826845681426D-13 log_rel_run_E_err -10.4247353072748314 (age_target - star_age)/age_sigma 180 652.0892148512 reducing max timestep prior to age target 180 4.2385798965327520D+09 (age_target - star_age)/age_sigma 182 630.9232995581 reducing max timestep prior to age target 182 4.1010014471276774D+09 (age_target - star_age)/age_sigma 183 618.6043557004 reducing max timestep prior to age target 183 4.0209283120526977D+09 (age_target - star_age)/age_sigma 184 606.5317907199 reducing max timestep prior to age target 184 3.9424566396792178D+09 (age_target - star_age)/age_sigma 185 594.7006770390 reducing max timestep prior to age target 185 3.8655544007532072D+09 (age_target - star_age)/age_sigma 186 583.1061856316 reducing max timestep prior to age target 186 3.7901902066057172D+09 (age_target - star_age)/age_sigma 187 571.7435840525 reducing max timestep prior to age target 187 3.7163332963411770D+09 (age_target - star_age)/age_sigma 188 560.6082345049 reducing max timestep prior to age target 188 3.6439535242819271D+09 (age_target - star_age)/age_sigma 189 549.6955919483 reducing max timestep prior to age target 189 3.5730213476638627D+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 1.7514685511530222D-13 log_rel_run_E_err -10.4060839720957627 (age_target - star_age)/age_sigma 190 539.0012022428 reducing max timestep prior to age target 190 3.5035078145781593D+09 (age_target - star_age)/age_sigma 191 528.5207003314 reducing max timestep prior to age target 191 3.4353845521541705D+09 (age_target - star_age)/age_sigma 192 518.2498084583 reducing max timestep prior to age target 192 3.3686237549786611D+09 (age_target - star_age)/age_sigma 193 508.1843344226 reducing max timestep prior to age target 193 3.3031981737466621D+09 (age_target - star_age)/age_sigma 194 498.3201698676 reducing max timestep prior to age target 194 3.2390811041393023D+09 (age_target - star_age)/age_sigma 195 488.6532886037 reducing max timestep prior to age target 195 3.1762463759240904D+09 (age_target - star_age)/age_sigma 196 479.1797449651 reducing max timestep prior to age target 196 3.1146683422731829D+09 (age_target - star_age)/age_sigma 197 469.8956721993 reducing max timestep prior to age target 197 3.0543218692952929D+09 (age_target - star_age)/age_sigma 198 460.7972808888 reducing max timestep prior to age target 198 2.9951823257769613D+09 (age_target - star_age)/age_sigma 199 451.8808574045 reducing max timestep prior to age target 199 2.9372255731289959D+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 1.8623239498829801D-13 log_rel_run_E_err -10.3866464385123614 (age_target - star_age)/age_sigma 200 443.1427623898 reducing max timestep prior to age target 200 2.8804279555339899D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 434.5794292755 reducing max timestep prior to age target 201 2.8247662902908845D+09 (age_target - star_age)/age_sigma 202 426.1873628235 reducing max timestep prior to age target 202 2.7702178583526411D+09 (age_target - star_age)/age_sigma 203 417.9631377005 reducing max timestep prior to age target 203 2.7167603950531616D+09 (age_target - star_age)/age_sigma 204 409.9033970799 reducing max timestep prior to age target 204 2.6643720810196724D+09 (age_target - star_age)/age_sigma 205 402.0048512718 reducing max timestep prior to age target 205 2.6130315332668533D+09 (age_target - star_age)/age_sigma 206 394.2642763799 reducing max timestep prior to age target 206 2.5627177964690905D+09 (age_target - star_age)/age_sigma 207 386.6785129857 reducing max timestep prior to age target 207 2.5134103344072824D+09 (age_target - star_age)/age_sigma 209 371.8104167333 reducing max timestep prior to age target 209 2.4167677087661390D+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 -99.000000 -99.000000 -6.860640 0.000000 0.000016 0.001982 0.019557 0.000E+00 max_dt rel_E_err 1.9281933556971020D-13 log_rel_run_E_err -10.3681648766145162 (age_target - star_age)/age_sigma 210 364.5250495695 reducing max timestep prior to age target 210 2.3694128222019787D+09 (age_target - star_age)/age_sigma 211 357.3853897491 reducing max timestep prior to age target 211 2.3230050333691020D+09 (age_target - star_age)/age_sigma 212 350.3885231251 reducing max timestep prior to age target 212 2.2775254003128824D+09 (age_target - star_age)/age_sigma 213 343.5315938335 reducing max timestep prior to age target 213 2.2329553599177876D+09 (age_target - star_age)/age_sigma 214 336.8118031278 reducing max timestep prior to age target 214 2.1892767203305945D+09 (age_target - star_age)/age_sigma 215 330.2264082362 reducing max timestep prior to age target 215 2.1464716535351453D+09 (age_target - star_age)/age_sigma 216 323.7727212424 reducing max timestep prior to age target 216 2.1045226880756054D+09 (age_target - star_age)/age_sigma 217 317.4481079885 reducing max timestep prior to age target 217 2.0634127019252558D+09 (age_target - star_age)/age_sigma 218 311.2499869997 reducing max timestep prior to age target 218 2.0231249154979134D+09 (age_target - star_age)/age_sigma 219 305.1758284306 reducing max timestep prior to age target 219 1.9836428847991171D+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 1.9300845085266904D-13 log_rel_run_E_err -10.3502284928381574 (age_target - star_age)/age_sigma 220 299.2231530330 reducing max timestep prior to age target 220 1.9449504947142978D+09 (age_target - star_age)/age_sigma 221 293.3895311433 reducing max timestep prior to age target 221 1.9070319524311743D+09 (age_target - star_age)/age_sigma 222 287.6725816913 reducing max timestep prior to age target 222 1.8698717809937134D+09 (age_target - star_age)/age_sigma 223 282.0699712285 reducing max timestep prior to age target 223 1.8334548129850020D+09 (age_target - star_age)/age_sigma 224 276.5794129748 reducing max timestep prior to age target 224 1.7977661843364644D+09 (age_target - star_age)/age_sigma 225 271.1986658863 reducing max timestep prior to age target 225 1.7627913282608981D+09 (age_target - star_age)/age_sigma 226 265.9255337395 reducing max timestep prior to age target 226 1.7285159693068428D+09 (age_target - star_age)/age_sigma 227 260.7578642357 reducing max timestep prior to age target 227 1.6949261175318685D+09 (age_target - star_age)/age_sigma 228 255.6935481219 reducing max timestep prior to age target 228 1.6620080627923937D+09 (age_target - star_age)/age_sigma 229 250.7305183304 reducing max timestep prior to age target 229 1.6297483691477084D+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 -15.255620 -99.000000 -6.878404 0.000000 0.000017 0.001992 0.019650 0.000E+00 max_dt rel_E_err 1.9478116029804381D-13 log_rel_run_E_err -10.3336114030084190 (age_target - star_age)/age_sigma 230 245.8667491348 reducing max timestep prior to age target 230 1.5981338693759170D+09 (age_target - star_age)/age_sigma 231 241.1002553230 reducing max timestep prior to age target 231 1.5671516595995612D+09 (age_target - star_age)/age_sigma 232 236.4290913875 reducing max timestep prior to age target 232 1.5367890940187330D+09 (age_target - star_age)/age_sigma 233 231.8513507307 reducing max timestep prior to age target 233 1.5070337797495213D+09 (age_target - star_age)/age_sigma 234 227.3651648870 reducing max timestep prior to age target 234 1.4778735717656932D+09 (age_target - star_age)/age_sigma 235 222.9687027602 reducing max timestep prior to age target 235 1.4492965679415417D+09 (age_target - star_age)/age_sigma 236 218.6601698760 reducing max timestep prior to age target 236 1.4212911041938739D+09 (age_target - star_age)/age_sigma 237 214.4378076494 reducing max timestep prior to age target 237 1.3938457497211590D+09 (age_target - star_age)/age_sigma 238 210.2998926674 reducing max timestep prior to age target 238 1.3669493023378983D+09 (age_target - star_age)/age_sigma 239 206.2447359850 reducing max timestep prior to age target 239 1.3405907839023032D+09 240 7.170582 5690.150 -0.051886 -0.051886 1.000000 1.000000 0.462916 0.004960 0.250007 -1.577884 509 0 7.4121E+00 7.170582 -0.013504 -44.157261 -1.696165 -99.000000 0.000000 0.517403 0.008806 0.017492 0.105767 10 3.2547E+09 2.085457 -0.051819 -99.000000 -99.000000 -6.885153 0.000000 0.000017 0.001996 0.019682 0.000E+00 max_dt rel_E_err 1.8291082974112207D-13 log_rel_run_E_err -10.3179967856740742 (age_target - star_age)/age_sigma 240 202.2706824362 reducing max timestep prior to age target 240 1.3147594358354197D+09 (age_target - star_age)/age_sigma 241 198.3761099584 reducing max timestep prior to age target 241 1.2894447147298741D+09 (age_target - star_age)/age_sigma 242 194.5594289302 reducing max timestep prior to age target 242 1.2646362880464392D+09 (age_target - star_age)/age_sigma 244 187.0787341149 reducing max timestep prior to age target 244 1.2160117717469068D+09 (age_target - star_age)/age_sigma 245 183.4131936554 reducing max timestep prior to age target 245 1.1921857587601366D+09 (age_target - star_age)/age_sigma 246 179.8209640051 reducing max timestep prior to age target 246 1.1688362660331011D+09 (age_target - star_age)/age_sigma 247 176.3005789478 reducing max timestep prior to age target 247 1.1459537631606064D+09 (age_target - star_age)/age_sigma 248 172.8506015916 reducing max timestep prior to age target 248 1.1235289103455615D+09 (age_target - star_age)/age_sigma 249 169.4696237826 reducing max timestep prior to age target 249 1.1015525545868173D+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 -15.477469 -99.000000 -6.890854 0.000000 0.000018 0.001999 0.019706 0.000E+00 max_dt rel_E_err 1.7882572941640972D-13 log_rel_run_E_err -10.3027340698714447 (age_target - star_age)/age_sigma 250 166.1562655297 reducing max timestep prior to age target 250 1.0800157259432483D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 162.9091744419 reducing max timestep prior to age target 251 1.0589096338725510D+09 (age_target - star_age)/age_sigma 252 159.7270251759 reducing max timestep prior to age target 252 1.0382256636432672D+09 (age_target - star_age)/age_sigma 253 156.6085188952 reducing max timestep prior to age target 253 1.0179553728185692D+09 (age_target - star_age)/age_sigma 254 153.5523827401 reducing max timestep prior to age target 254 9.9809048781036520D+08 (age_target - star_age)/age_sigma 255 150.5573693080 reducing max timestep prior to age target 255 9.7862290050232506D+08 (age_target - star_age)/age_sigma 256 147.6222561447 reducing max timestep prior to age target 256 9.5954466494044638D+08 (age_target - star_age)/age_sigma 257 144.7458452446 reducing max timestep prior to age target 257 9.4084799408980465D+08 (age_target - star_age)/age_sigma 258 141.9269625625 reducing max timestep prior to age target 258 9.2252525665617561D+08 (age_target - star_age)/age_sigma 259 139.1644575340 reducing max timestep prior to age target 259 9.0456897397121954D+08 260 7.177642 5699.441 -0.037664 -0.037664 1.000000 1.000000 0.427673 0.005035 0.247379 -1.560533 508 0 7.2454E+00 7.177642 -0.007811 -43.691751 -1.674986 -99.000000 0.000000 0.552601 0.008757 0.017329 0.109521 10 3.6825E+09 2.113618 -0.037600 -99.000000 -99.000000 -6.895633 0.000000 0.000018 0.002001 0.019726 0.000E+00 max_dt rel_E_err 1.8055964545348751D-13 log_rel_run_E_err -10.2877583427061463 (age_target - star_age)/age_sigma 260 136.4572026061 reducing max timestep prior to age target 260 8.8697181693996239D+08 (age_target - star_age)/age_sigma 261 133.8040927768 reducing max timestep prior to age target 261 8.6972660304933071D+08 (age_target - star_age)/age_sigma 262 131.2040451441 reducing max timestep prior to age target 262 8.5282629343651104D+08 (age_target - star_age)/age_sigma 263 128.6559984640 reducing max timestep prior to age target 263 8.3626399001594830D+08 (age_target - star_age)/age_sigma 264 126.1589127175 reducing max timestep prior to age target 264 8.2003293266379690D+08 (age_target - star_age)/age_sigma 265 123.7117686860 reducing max timestep prior to age target 265 8.0412649645868826D+08 (age_target - star_age)/age_sigma 266 121.3135675350 reducing max timestep prior to age target 266 7.8853818897768211D+08 (age_target - star_age)/age_sigma 267 118.9633304071 reducing max timestep prior to age target 267 7.7326164764629555D+08 (age_target - star_age)/age_sigma 268 116.6600980218 reducing max timestep prior to age target 268 7.5829063714153671D+08 (age_target - star_age)/age_sigma 269 114.4029302841 reducing max timestep prior to age target 269 7.4361904684687376D+08 270 7.180293 5702.705 -0.032327 -0.032327 1.000000 1.000000 0.414494 0.005068 0.246428 -1.553877 508 0 7.1577E+00 7.180293 -0.005641 -43.516208 -1.666734 -99.000000 0.000000 0.565765 0.008733 0.017270 0.111022 10 3.8403E+09 2.124300 -0.032265 -15.477469 -99.000000 -6.899559 0.000000 0.000018 0.002003 0.019741 0.000E+00 max_dt rel_E_err 1.6226050868948540D-13 log_rel_run_E_err -10.2733722730512671 (age_target - star_age)/age_sigma 270 112.1909059012 reducing max timestep prior to age target 270 7.2924088835810328D+08 (age_target - star_age)/age_sigma 271 110.0231220060 reducing max timestep prior to age target 271 7.1515029303910875D+08 (age_target - star_age)/age_sigma 272 107.8986937887 reducing max timestep prior to age target 272 7.0134150962649393D+08 (age_target - star_age)/age_sigma 273 105.8167541357 reducing max timestep prior to age target 273 6.8780890188213158D+08 (age_target - star_age)/age_sigma 274 103.7764532758 reducing max timestep prior to age target 274 6.7454694629265594D+08 (age_target - star_age)/age_sigma 275 101.7769584331 reducing max timestep prior to age target 275 6.6155022981497002D+08 (age_target - star_age)/age_sigma 276 99.8174534872 reducing max timestep prior to age target 276 6.4881344766683817D+08 (age_target - star_age)/age_sigma 277 97.8971386403 reducing max timestep prior to age target 277 6.3633140116166878D+08 (age_target - star_age)/age_sigma 279 94.1333215402 reducing max timestep prior to age target 279 6.1186659001153660D+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 -99.000000 -99.000000 -6.902800 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.7004472069371338D-13 log_rel_run_E_err -10.2592943999836042 (age_target - star_age)/age_sigma 280 92.2890511612 reducing max timestep prior to age target 280 5.9987883254797173D+08 (age_target - star_age)/age_sigma 281 90.4816661898 reducing max timestep prior to age target 281 5.8813083023367786D+08 (age_target - star_age)/age_sigma 282 88.7104289178 reducing max timestep prior to age target 282 5.7661778796567059D+08 (age_target - star_age)/age_sigma 283 86.9746163912 reducing max timestep prior to age target 283 5.6533500654302263D+08 (age_target - star_age)/age_sigma 284 85.2735201152 reducing max timestep prior to age target 284 5.5427788074882841D+08 (age_target - star_age)/age_sigma 285 83.6064457647 reducing max timestep prior to age target 285 5.4344189747051811D+08 (age_target - star_age)/age_sigma 286 81.9727129012 reducing max timestep prior to age target 286 5.3282263385777378D+08 (age_target - star_age)/age_sigma 287 80.3716546950 reducing max timestep prior to age target 287 5.2241575551728439D+08 (age_target - star_age)/age_sigma 288 78.8026176529 reducing max timestep prior to age target 288 5.1221701474360466D+08 (age_target - star_age)/age_sigma 289 77.2649613516 reducing max timestep prior to age target 289 5.0222224878539848D+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 6 4.0771E+09 2.140758 -0.024156 -99.000000 -99.000000 -6.905509 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.8167826472376514D-13 log_rel_run_E_err -10.2455213045476921 (age_target - star_age)/age_sigma 290 75.7580581764 reducing max timestep prior to age target 290 4.9242737814635706D+08 (age_target - star_age)/age_sigma 291 74.2812930646 reducing max timestep prior to age target 291 4.8282840492009592D+08 (age_target - star_age)/age_sigma 292 72.8340632551 reducing max timestep prior to age target 292 4.7342141115836000D+08 (age_target - star_age)/age_sigma 293 71.4157780418 reducing max timestep prior to age target 293 4.6420255727185822D+08 (age_target - star_age)/age_sigma 294 70.0258585328 reducing max timestep prior to age target 294 4.5516808046308708D+08 (age_target - star_age)/age_sigma 295 68.6637374139 reducing max timestep prior to age target 295 4.4631429319049168D+08 (age_target - star_age)/age_sigma 296 67.3288587174 reducing max timestep prior to age target 296 4.3763758166334772D+08 (age_target - star_age)/age_sigma 297 66.0206775949 reducing max timestep prior to age target 297 4.2913440436674690D+08 (age_target - star_age)/age_sigma 298 64.7386600948 reducing max timestep prior to age target 298 4.2080129061607790D+08 (age_target - star_age)/age_sigma 299 63.4822829447 reducing max timestep prior to age target 299 4.1263483914042234D+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 -15.653560 -99.000000 -6.907729 0.000000 0.000019 0.002008 0.019768 0.000E+00 max_dt rel_E_err 1.7413709203982321D-13 log_rel_run_E_err -10.2320205798470951 (age_target - star_age)/age_sigma 300 62.2510333376 reducing max timestep prior to age target 300 4.0463171669428015D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.0444087226 reducing max timestep prior to age target 301 3.9678865669706059D+08 (age_target - star_age)/age_sigma 302 59.8619166000 reducing max timestep prior to age target 302 3.8910245789978504D+08 (age_target - star_age)/age_sigma 303 58.7030743198 reducing max timestep prior to age target 303 3.8156998307845497D+08 (age_target - star_age)/age_sigma 304 57.5674088852 reducing max timestep prior to age target 304 3.7418815775355196D+08 (age_target - star_age)/age_sigma 305 56.4544567593 reducing max timestep prior to age target 305 3.6695396893514681D+08 (age_target - star_age)/age_sigma 306 55.3637636759 reducing max timestep prior to age target 306 3.5986446389310980D+08 (age_target - star_age)/age_sigma 307 54.2948844541 reducing max timestep prior to age target 307 3.5291674895191383D+08 (age_target - star_age)/age_sigma 308 53.2473828169 reducing max timestep prior to age target 308 3.4610798830954123D+08 (age_target - star_age)/age_sigma 309 52.2208312123 reducing max timestep prior to age target 309 3.3943540288001680D+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 1.8238383825728925D-13 log_rel_run_E_err -10.2191446548663301 (age_target - star_age)/age_sigma 310 51.2148106399 reducing max timestep prior to age target 310 3.3289626915908241D+08 (age_target - star_age)/age_sigma 311 50.2289104789 reducing max timestep prior to age target 311 3.2648791811256695D+08 (age_target - star_age)/age_sigma 312 49.2627283211 reducing max timestep prior to age target 312 3.2020773408698130D+08 (age_target - star_age)/age_sigma 314 47.3690112918 reducing max timestep prior to age target 314 3.0789857339683437D+08 (age_target - star_age)/age_sigma 315 46.4410899475 reducing max timestep prior to age target 315 3.0186708465866184D+08 (age_target - star_age)/age_sigma 316 45.5317270300 reducing max timestep prior to age target 316 2.9595622569525337D+08 (age_target - star_age)/age_sigma 317 44.6405513709 reducing max timestep prior to age target 317 2.9016358391111279D+08 (age_target - star_age)/age_sigma 318 43.7671992250 reducing max timestep prior to age target 318 2.8448679496265459D+08 (age_target - star_age)/age_sigma 319 42.9113141220 reducing max timestep prior to age target 319 2.7892354179316616D+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 1.7849591423991806D-13 log_rel_run_E_err -10.2068300810869044 (age_target - star_age)/age_sigma 320 42.0725467211 reducing max timestep prior to age target 320 2.7347155368706703D+08 (age_target - star_age)/age_sigma 321 41.2505546682 reducing max timestep prior to age target 321 2.6812860534309006D+08 (age_target - star_age)/age_sigma 322 40.4450024563 reducing max timestep prior to age target 322 2.6289251596599293D+08 (age_target - star_age)/age_sigma 323 39.6555612887 reducing max timestep prior to age target 323 2.5776114837643814D+08 (age_target - star_age)/age_sigma 324 38.8819089444 reducing max timestep prior to age target 324 2.5273240813867378D+08 (age_target - star_age)/age_sigma 325 38.1237296470 reducing max timestep prior to age target 325 2.4780424270566463D+08 (age_target - star_age)/age_sigma 326 37.3807139356 reducing max timestep prior to age target 326 2.4297464058131599D+08 (age_target - star_age)/age_sigma 327 36.6525585384 reducing max timestep prior to age target 327 2.3824163049945450D+08 (age_target - star_age)/age_sigma 328 35.9389662491 reducing max timestep prior to age target 328 2.3360328061923027D+08 (age_target - star_age)/age_sigma 329 35.2396458056 reducing max timestep prior to age target 329 2.2905769773660946D+08 330 7.189177 5712.501 -0.014901 -0.014901 1.000000 1.000000 0.371674 0.005203 0.243475 -1.531529 510 0 6.6488E+00 7.189177 0.001578 -42.937728 -1.638577 -99.000000 0.000000 0.608544 0.008619 0.017088 0.116282 5 4.3449E+09 2.159966 -0.014846 -15.477469 -99.000000 -6.912310 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.8973930754890629D-13 log_rel_run_E_err -10.1944388405618085 (age_target - star_age)/age_sigma 330 34.5543117710 reducing max timestep prior to age target 330 2.2460302651164150D+08 (age_target - star_age)/age_sigma 331 33.8826844171 reducing max timestep prior to age target 331 2.2023744871117306D+08 (age_target - star_age)/age_sigma 332 33.2244896103 reducing max timestep prior to age target 332 2.1595918246671391D+08 (age_target - star_age)/age_sigma 333 32.5794586996 reducing max timestep prior to age target 333 2.1176648154714489D+08 (age_target - star_age)/age_sigma 334 31.9473284071 reducing max timestep prior to age target 334 2.0765763464596653D+08 (age_target - star_age)/age_sigma 335 31.3278407204 reducing max timestep prior to age target 335 2.0363096468281174D+08 (age_target - star_age)/age_sigma 336 30.7207427875 reducing max timestep prior to age target 336 1.9968482811892033D+08 (age_target - star_age)/age_sigma 337 30.1257868133 reducing max timestep prior to age target 337 1.9581761428630638D+08 (age_target - star_age)/age_sigma 338 29.5427299585 reducing max timestep prior to age target 338 1.9202774473034477D+08 (age_target - star_age)/age_sigma 339 28.9713342408 reducing max timestep prior to age target 339 1.8831367256550217D+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 -99.000000 -99.000000 -6.913337 0.000000 0.000020 0.002010 0.019784 0.000E+00 max_dt rel_E_err 1.7841792669278625D-13 log_rel_run_E_err -10.1824747013215440 (age_target - star_age)/age_sigma 340 28.4113664375 reducing max timestep prior to age target 340 1.8467388184395695D+08 (age_target - star_age)/age_sigma 341 27.8625979903 reducing max timestep prior to age target 341 1.8110688693684196D+08 (age_target - star_age)/age_sigma 342 27.3248049120 reducing max timestep prior to age target 342 1.7761123192786980D+08 (age_target - star_age)/age_sigma 343 26.7977676952 reducing max timestep prior to age target 343 1.7418549001907635D+08 (age_target - star_age)/age_sigma 344 26.2812712228 reducing max timestep prior to age target 344 1.7082826294845963D+08 (age_target - star_age)/age_sigma 345 25.7751046799 reducing max timestep prior to age target 345 1.6753818041925526D+08 (age_target - star_age)/age_sigma 346 25.2790614678 reducing max timestep prior to age target 346 1.6431389954063511D+08 (age_target - star_age)/age_sigma 348 24.3068167721 reducing max timestep prior to age target 348 1.5799430901853848D+08 (age_target - star_age)/age_sigma 349 23.8304168712 reducing max timestep prior to age target 349 1.5489770966271114D+08 350 7.190512 5713.836 -0.012343 -0.012343 1.000000 1.000000 0.365412 0.005226 0.243022 -1.528184 510 0 6.4821E+00 7.190512 0.002654 -42.852035 -1.634279 -99.000000 0.000000 0.614801 0.008598 0.017060 0.117104 5 4.4176E+09 2.165296 -0.012288 -15.109492 -99.000000 -6.914182 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.6817137828730819D-13 log_rel_run_E_err -10.1711189669727631 (age_target - star_age)/age_sigma 350 23.3635449683 reducing max timestep prior to age target 350 1.5186304229400063D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9060105035 reducing max timestep prior to age target 351 1.4888906827266502D+08 (age_target - star_age)/age_sigma 352 22.4576267280 reducing max timestep prior to age target 352 1.4597457373175526D+08 (age_target - star_age)/age_sigma 353 22.0182106279 reducing max timestep prior to age target 353 1.4311836908166313D+08 (age_target - star_age)/age_sigma 354 21.5875828499 reducing max timestep prior to age target 354 1.4031928852457333D+08 (age_target - star_age)/age_sigma 355 21.1655676275 reducing max timestep prior to age target 355 1.3757618957862568D+08 (age_target - star_age)/age_sigma 356 20.7519927095 reducing max timestep prior to age target 356 1.3488795261159706D+08 (age_target - star_age)/age_sigma 357 20.3466892898 reducing max timestep prior to age target 357 1.3225348038390827D+08 (age_target - star_age)/age_sigma 358 19.9494919386 reducing max timestep prior to age target 358 1.2967169760077381D+08 (age_target - star_age)/age_sigma 359 19.5602385344 reducing max timestep prior to age target 359 1.2714155047330189D+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 -15.954590 -99.000000 -6.914883 0.000000 0.000020 0.002011 0.019788 0.000E+00 max_dt rel_E_err 1.8475128284076503D-13 log_rel_run_E_err -10.1601534788873309 (age_target - star_age)/age_sigma 360 19.1787701982 reducing max timestep prior to age target 360 1.2466200628837967D+08 (age_target - star_age)/age_sigma 361 18.8049312288 reducing max timestep prior to age target 361 1.2223205298715496D+08 (age_target - star_age)/age_sigma 362 18.4385690388 reducing max timestep prior to age target 362 1.1985069875195599D+08 (age_target - star_age)/age_sigma 363 18.0795340925 reducing max timestep prior to age target 363 1.1751697160146046D+08 (age_target - star_age)/age_sigma 364 17.7276798452 reducing max timestep prior to age target 364 1.1522991899397469D+08 (age_target - star_age)/age_sigma 365 17.3828626829 reducing max timestep prior to age target 365 1.1298860743863869D+08 (age_target - star_age)/age_sigma 366 17.0449418638 reducing max timestep prior to age target 366 1.1079212211440945D+08 (age_target - star_age)/age_sigma 367 16.7137794610 reducing max timestep prior to age target 367 1.0863956649666500D+08 (age_target - star_age)/age_sigma 368 16.3892403064 reducing max timestep prior to age target 368 1.0653006199127579D+08 (age_target - star_age)/age_sigma 369 16.0711919348 reducing max timestep prior to age target 369 1.0446274757599354D+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 1.6132081192642479D-13 log_rel_run_E_err -10.1492363424837357 (age_target - star_age)/age_sigma 370 15.7595045306 reducing max timestep prior to age target 370 1.0243677944901752D+08 (age_target - star_age)/age_sigma 371 15.4540508746 reducing max timestep prior to age target 371 1.0045133068457985D+08 (age_target - star_age)/age_sigma 372 15.1547062916 reducing max timestep prior to age target 372 9.8505590895432472D+07 (age_target - star_age)/age_sigma 373 14.8613486003 reducing max timestep prior to age target 373 9.6598765902067184D+07 (age_target - star_age)/age_sigma 374 14.5738580629 reducing max timestep prior to age target 374 9.4730077408569336D+07 (age_target - star_age)/age_sigma 375 14.2921173361 reducing max timestep prior to age target 375 9.2898762684942245D+07 (age_target - star_age)/age_sigma 376 14.0160114240 reducing max timestep prior to age target 376 9.1104074255786896D+07 (age_target - star_age)/age_sigma 377 13.7454276300 reducing max timestep prior to age target 377 8.9345279595214844D+07 (age_target - star_age)/age_sigma 378 13.4802555120 reducing max timestep prior to age target 378 8.7621660827854156D+07 (age_target - star_age)/age_sigma 379 13.2203868363 reducing max timestep prior to age target 379 8.5932514435840607D+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 -15.477469 -99.000000 -6.915925 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.8833307475327821D-13 log_rel_run_E_err -10.1383199056619073 (age_target - star_age)/age_sigma 380 12.9657155341 reducing max timestep prior to age target 380 8.4277150971667290D+07 (age_target - star_age)/age_sigma 381 12.7161376580 reducing max timestep prior to age target 381 8.2654894776777267D+07 (age_target - star_age)/age_sigma 382 12.4715513394 reducing max timestep prior to age target 382 8.1065083705785751D+07 (age_target - star_age)/age_sigma 384 11.9921621549 reducing max timestep prior to age target 384 7.7949054006640434D+07 (age_target - star_age)/age_sigma 385 11.7572614545 reducing max timestep prior to age target 385 7.6422199454059601D+07 (age_target - star_age)/age_sigma 386 11.5270587681 reducing max timestep prior to age target 386 7.4925881992530823D+07 (age_target - star_age)/age_sigma 387 11.3014601354 reducing max timestep prior to age target 387 7.3459490880231857D+07 (age_target - star_age)/age_sigma 388 11.0803734754 reducing max timestep prior to age target 388 7.2022427590179443D+07 (age_target - star_age)/age_sigma 389 10.8637085486 reducing max timestep prior to age target 389 7.0614105565928459D+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 3 4.5003E+09 2.171414 -0.009370 -99.000000 -99.000000 -6.916314 0.000000 0.000020 0.002012 0.019792 0.000E+00 max_dt rel_E_err 1.7299861041010246D-13 log_rel_run_E_err -10.1278151960552041 (age_target - star_age)/age_sigma 390 10.6513769203 reducing max timestep prior to age target 390 6.9233949982161522D+07 (age_target - star_age)/age_sigma 391 10.4432919246 reducing max timestep prior to age target 391 6.7881397510070801D+07 (age_target - star_age)/age_sigma 392 10.2393686288 reducing max timestep prior to age target 392 6.6555896087421417D+07 (age_target - star_age)/age_sigma 393 10.0395237990 reducing max timestep prior to age target 393 6.5256904693224907D+07 (age_target - star_age)/age_sigma 394 9.8436758657 reducing max timestep prior to age target 394 6.3983893126913071D+07 (age_target - star_age)/age_sigma 395 9.6517448911 reducing max timestep prior to age target 395 6.2736341791927338D+07 (age_target - star_age)/age_sigma 396 9.4636525359 reducing max timestep prior to age target 396 6.1513741483640671D+07 (age_target - star_age)/age_sigma 397 9.2793220279 reducing max timestep prior to age target 397 6.0315593181519508D+07 (age_target - star_age)/age_sigma 398 9.0986781301 reducing max timestep prior to age target 398 5.9141407845440865D+07 (age_target - star_age)/age_sigma 399 8.9216471102 reducing max timestep prior to age target 399 5.7990706216084480D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.192276 5715.544 -0.008985 -0.008985 1.000000 1.000000 0.357198 0.005259 0.242439 -1.523765 510 0 6.0522E+00 7.192276 0.004072 -42.739191 -1.628571 -99.000000 0.000000 0.623009 0.008568 0.017024 0.118204 3 4.5126E+09 2.172335 -0.008932 -15.477469 -99.000000 -6.916633 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7766951567088021D-13 log_rel_run_E_err -10.1174054464237955 (age_target - star_age)/age_sigma 400 8.7481567107 reducing max timestep prior to age target 400 5.6863018619315147D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.5781361192 reducing max timestep prior to age target 401 5.5757884774480820D+07 (age_target - star_age)/age_sigma 402 8.4115159395 reducing max timestep prior to age target 402 5.4674853606542587D+07 (age_target - star_age)/age_sigma 403 8.2482281634 reducing max timestep prior to age target 403 5.3613483061964035D+07 (age_target - star_age)/age_sigma 404 8.0882061428 reducing max timestep prior to age target 404 5.2573339928277016D+07 (age_target - star_age)/age_sigma 405 7.9313845627 reducing max timestep prior to age target 405 5.1553999657263756D+07 (age_target - star_age)/age_sigma 406 7.7776994141 reducing max timestep prior to age target 406 5.0555046191670418D+07 (age_target - star_age)/age_sigma 407 7.6270879685 reducing max timestep prior to age target 407 4.9576071795389175D+07 (age_target - star_age)/age_sigma 408 7.4794887519 reducing max timestep prior to age target 408 4.8616676887033463D+07 (age_target - star_age)/age_sigma 409 7.3348415195 reducing max timestep prior to age target 409 4.7676469876845360D+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 1.7319285132530967D-13 log_rel_run_E_err -10.1073198183899855 (age_target - star_age)/age_sigma 410 7.1930872318 reducing max timestep prior to age target 410 4.6755067006860733D+07 (age_target - star_age)/age_sigma 411 7.0541680299 reducing max timestep prior to age target 411 4.5852092194275856D+07 (age_target - star_age)/age_sigma 412 6.9180272120 reducing max timestep prior to age target 412 4.4967176877942085D+07 (age_target - star_age)/age_sigma 413 6.7846092105 reducing max timestep prior to age target 413 4.4099959867936134D+07 (age_target - star_age)/age_sigma 414 6.6538595689 reducing max timestep prior to age target 414 4.3250087198128700D+07 (age_target - star_age)/age_sigma 415 6.5257249203 reducing max timestep prior to age target 415 4.2417211981719017D+07 (age_target - star_age)/age_sigma 416 6.4001529646 reducing max timestep prior to age target 416 4.1600994269637108D+07 (age_target - star_age)/age_sigma 418 6.1540319314 reducing max timestep prior to age target 418 4.0001207553955078D+07 (age_target - star_age)/age_sigma 419 6.0334326251 reducing max timestep prior to age target 419 3.9217312063271523D+07 420 7.192621 5715.870 -0.008332 -0.008332 1.000000 1.000000 0.355601 0.005266 0.242327 -1.522902 510 0 5.8855E+00 7.192621 0.004349 -42.717193 -1.627452 -99.000000 0.000000 0.624605 0.008561 0.017017 0.118421 3 4.5311E+09 2.173710 -0.008279 -15.653560 -99.000000 -6.917109 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.8041983550093416D-13 log_rel_run_E_err -10.0975898263177868 (age_target - star_age)/age_sigma 420 5.9152453050 reducing max timestep prior to age target 420 3.8449094482401848D+07 (age_target - star_age)/age_sigma 421 5.7994217313 reducing max timestep prior to age target 421 3.7696241253149033D+07 (age_target - star_age)/age_sigma 422 5.6859146290 reducing max timestep prior to age target 422 3.6958445088480949D+07 (age_target - star_age)/age_sigma 423 5.5746776688 reducing max timestep prior to age target 423 3.6235404847106934D+07 (age_target - star_age)/age_sigma 424 5.4656654478 reducing max timestep prior to age target 424 3.5526825410559654D+07 (age_target - star_age)/age_sigma 425 5.3588334712 reducing max timestep prior to age target 425 3.4832417562744141D+07 (age_target - star_age)/age_sigma 426 5.2541381341 reducing max timestep prior to age target 426 3.4151897871884346D+07 (age_target - star_age)/age_sigma 427 5.1515367038 reducing max timestep prior to age target 427 3.3484988574841499D+07 (age_target - star_age)/age_sigma 428 5.0509873021 reducing max timestep prior to age target 428 3.2831417463740349D+07 (age_target - star_age)/age_sigma 429 4.9519483354 remaining steps and years until age target 429 50 3.2187664180137634D+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 1.7679714178845412D-13 log_rel_run_E_err -10.0880889958402626 (age_target - star_age)/age_sigma 430 4.8529093687 remaining steps and years until age target 430 49 3.1543910896534920D+07 (age_target - star_age)/age_sigma 431 4.7538704020 remaining steps and years until age target 431 48 3.0900157612932205D+07 (age_target - star_age)/age_sigma 432 4.6548314353 reducing max timestep prior to age target 432 3.0256404329328537D+07 (age_target - star_age)/age_sigma 433 4.5557924686 remaining steps and years until age target 433 46 2.9612651045725822D+07 (age_target - star_age)/age_sigma 434 4.4567535019 remaining steps and years until age target 434 45 2.8968897762123108D+07 (age_target - star_age)/age_sigma 435 4.3577145352 remaining steps and years until age target 435 44 2.8325144478520393D+07 (age_target - star_age)/age_sigma 436 4.2586755684 remaining steps and years until age target 436 43 2.7681391194917679D+07 (age_target - star_age)/age_sigma 437 4.1596366017 remaining steps and years until age target 437 42 2.7037637911314964D+07 (age_target - star_age)/age_sigma 438 4.0605976350 remaining steps and years until age target 438 41 2.6393884627712250D+07 (age_target - star_age)/age_sigma 439 3.9615586683 remaining steps and years until age target 439 40 2.5750131344109535D+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 -15.653560 -99.000000 -6.917454 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.7062212616263671D-13 log_rel_run_E_err -10.0788299635698024 (age_target - star_age)/age_sigma 440 3.8625197016 remaining steps and years until age target 440 39 2.5106378060506821D+07 (age_target - star_age)/age_sigma 441 3.7634807349 remaining steps and years until age target 441 38 2.4462624776904106D+07 (age_target - star_age)/age_sigma 442 3.6644417682 reducing max timestep prior to age target 442 2.3818871493300438D+07 (age_target - star_age)/age_sigma 443 3.5654028015 remaining steps and years until age target 443 36 2.3175118209697723D+07 (age_target - star_age)/age_sigma 444 3.4663638348 remaining steps and years until age target 444 35 2.2531364926095009D+07 (age_target - star_age)/age_sigma 445 3.3673248681 remaining steps and years until age target 445 34 2.1887611642492294D+07 (age_target - star_age)/age_sigma 446 3.2682859014 remaining steps and years until age target 446 33 2.1243858358889580D+07 (age_target - star_age)/age_sigma 447 3.1692469347 remaining steps and years until age target 447 32 2.0600105075286865D+07 (age_target - star_age)/age_sigma 448 3.0702079680 remaining steps and years until age target 448 31 1.9956351791684151D+07 (age_target - star_age)/age_sigma 449 2.9711690012 remaining steps and years until age target 449 30 1.9312598508081436D+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 -15.255620 -99.000000 -6.917620 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9827304572065516D-13 log_rel_run_E_err -10.0695564914212792 (age_target - star_age)/age_sigma 450 2.8721300345 remaining steps and years until age target 450 29 1.8668845224478722D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7730910678 remaining steps and years until age target 451 28 1.8025091940876007D+07 (age_target - star_age)/age_sigma 452 2.6740521011 reducing max timestep prior to age target 452 1.7381338657272339D+07 (age_target - star_age)/age_sigma 453 2.5750131344 reducing max timestep prior to age target 453 1.6737585373669624D+07 (age_target - star_age)/age_sigma 454 2.4759741677 reducing max timestep prior to age target 454 1.6093832090066910D+07 (age_target - star_age)/age_sigma 455 2.3769352010 reducing max timestep prior to age target 455 1.5450078806464195D+07 (age_target - star_age)/age_sigma 456 2.2778962343 reducing max timestep prior to age target 456 1.4806325522861481D+07 (age_target - star_age)/age_sigma 457 2.1788572676 reducing max timestep prior to age target 457 1.4162572239258766D+07 (age_target - star_age)/age_sigma 458 2.0798183009 reducing max timestep prior to age target 458 1.3518818955656052D+07 (age_target - star_age)/age_sigma 459 1.9807793342 reducing max timestep prior to age target 459 1.2875065672053337D+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 1.8082292702224640D-13 log_rel_run_E_err -10.0606558715561203 (age_target - star_age)/age_sigma 460 1.8817403675 reducing max timestep prior to age target 460 1.2231312388450623D+07 (age_target - star_age)/age_sigma 461 1.7827014007 reducing max timestep prior to age target 461 1.1587559104847908D+07 (age_target - star_age)/age_sigma 462 1.6836624340 reducing max timestep prior to age target 462 1.0943805821244240D+07 (age_target - star_age)/age_sigma 463 1.5846234673 reducing max timestep prior to age target 463 1.0300052537641525D+07 (age_target - star_age)/age_sigma 464 1.4855845006 reducing max timestep prior to age target 464 9.6562992540388107D+06 (age_target - star_age)/age_sigma 465 1.3865455339 reducing max timestep prior to age target 465 9.0125459704360962D+06 (age_target - star_age)/age_sigma 466 1.2875065672 reducing max timestep prior to age target 466 8.3687926868333817D+06 (age_target - star_age)/age_sigma 467 1.1884676005 reducing max timestep prior to age target 467 7.7250394032306671D+06 (age_target - star_age)/age_sigma 468 1.0894286338 reducing max timestep prior to age target 468 7.0812861196279526D+06 (age_target - star_age)/age_sigma 469 0.9903896671 reducing max timestep prior to age target 469 6.4375328360252380D+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 1.9187921363962106D-13 log_rel_run_E_err -10.0516368278479025 (age_target - star_age)/age_sigma 470 0.8913507004 remaining steps and years until age target 470 9 5.7937795524234772D+06 (age_target - star_age)/age_sigma 471 0.7923117337 reducing max timestep prior to age target 471 5.1500262688207626D+06 (age_target - star_age)/age_sigma 472 0.6932727670 reducing max timestep prior to age target 472 4.5062729852180481D+06 (age_target - star_age)/age_sigma 473 0.5942338002 reducing max timestep prior to age target 473 3.8625197016143799D+06 (age_target - star_age)/age_sigma 474 0.4951948335 remaining steps and years until age target 474 5 3.2187664180126190D+06 (age_target - star_age)/age_sigma 475 0.3961558668 reducing max timestep prior to age target 475 2.5750131344099045D+06 (age_target - star_age)/age_sigma 476 0.2971169001 reducing max timestep prior to age target 476 1.9312598508071899D+06 (age_target - star_age)/age_sigma 477 0.1980779334 reducing max timestep prior to age target 477 1.2875065672044754D+06 (age_target - star_age)/age_sigma 478 0.0990389667 remaining steps and years until age target 478 1 6.4375328360271454D+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 3.03 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 1.7187824510063599D-13 log_rel_run_E_err -10.0438303886623892 Teff 5716.5483620729 radius 1.0114129282 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 130.2549301020 M_H 0.0003508639 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 0.1231054491 log_R 0.0049285006 delta_nu 139.1365856807 nu_max 3023.4851123021 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 333376.7926785171 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 "8f7f3a3" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251201" "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 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 1 3.3351283960191236E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383766992E+03 1.0231407131234238E+00 -1.7395981939735516E-03 9.9353665865795134E-03 1.3680762272705050E+02 2.9640776267829306E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191236E+05 0 0 0 0 0 0 0 3 3.3365606602482504E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368751E+03 1.0099970103007712E+00 2.9466215561576154E-02 4.3200882264055936E-03 1.3947582155333157E+02 3.0536692076803915E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482504E+05 0 0 0 0 0 0 0 2 3.3468070564325486E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272648E+03 1.0622782375814108E+00 -1.2788199776276491E-02 2.6238284372325182E-02 1.2938435093833905E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325486E+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 -28.597850 -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 3.9562807330739613D-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 1.8246323735112702D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -21.674160 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692958677860449D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.2004330292732877D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6100000000000001D-05 initial_he4 2.6097390000000004D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999647D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999495D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999304D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999084D+09 10 6.616017 4252.685 -4.940030 -4.940030 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023968 457 0 -4.3321E+00 6.616017 0.265362 -99.000000 -6.337779 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072072 10 2.3634E-04 0.147009 0.000072 -99.000000 -99.000000 -6.877439 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7907882324654592D-13 log_rel_run_E_err -11.5702663299632587 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 2.8301743561284173D-13 log_rel_run_E_err -11.2748441445619978 30 6.616040 4304.822 -4.940026 -4.940026 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -2.7485E+00 6.616040 0.265547 -99.000000 -6.337776 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 1.0664E-02 0.147043 0.021609 -20.771070 -99.000000 -6.902152 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6763809151044754D-13 log_rel_run_E_err -11.0971505287295447 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 2.5544714622216502D-13 log_rel_run_E_err -10.9708336065730272 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 2.8189210083321995D-13 log_rel_run_E_err -10.8749209669241882 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 2.7026373251058310D-13 log_rel_run_E_err -10.7949050162998930 70 6.616048 4307.066 -4.940012 -4.940012 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023963 457 0 4.1878E-01 6.616048 0.265594 -99.000000 -6.337762 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 10 1.5737E+01 0.147057 0.022608 -99.000000 -99.000000 -6.903234 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6557439447103948D-13 log_rel_run_E_err -10.7278422589506643 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 2.4437802072180348D-13 log_rel_run_E_err -10.6702517992574482 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 2.5711231031244981D-13 log_rel_run_E_err -10.6201323335443956 __________________________________________________________________________________________________________________________________________________ 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 2.6317985973007497D-13 log_rel_run_E_err -10.5747435430237573 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 -20.470040 -99.000000 -6.900836 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6579990773445097D-13 log_rel_run_E_err -10.5347443793433797 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 -20.293948 -99.000000 -6.888756 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7456966302157788D-13 log_rel_run_E_err -10.4738121447931061 130 6.653979 4257.646 -4.515618 -4.515618 1.000000 1.000000 0.720043 0.000958 0.261000 -3.816564 457 0 5.1697E+00 6.653979 0.220632 -99.000000 -5.913330 -99.000000 0.000000 0.261000 0.008891 0.018957 0.073895 4 8.8676E+05 0.293429 -0.087364 -20.470040 -99.000000 -6.825305 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.8087196328214624D-13 log_rel_run_E_err -10.4687557637405178 140 6.738006 4178.200 -3.535991 -3.535991 1.000000 1.000000 0.720041 0.000958 0.260999 -3.157813 466 0 5.8317E+00 6.738006 0.119164 -99.000000 -4.933525 -99.000000 0.000000 0.261003 0.008891 0.018957 0.083361 3 5.0210E+06 0.702558 -0.323021 -99.000000 -99.000000 -6.660089 0.000000 0.003267 0.001976 0.018957 0.000E+00 varcontrol rel_E_err 1.9361399943000146D-11 log_rel_run_E_err -10.3232401612177878 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 -18.061800 -99.000000 -6.687128 0.000000 0.003267 0.001976 0.018957 0.000E+00 lgRho_cntr rel_E_err 2.0853402938139556D-13 log_rel_run_E_err -10.4355507401029435 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 -99.000000 -99.000000 -6.826841 0.000000 0.003263 0.001976 0.018959 0.000E+00 lgRho_cntr rel_E_err 1.6870088785005649D-13 log_rel_run_E_err -10.5710947289204764 (age_target - star_age)/age_sigma 169 694.7990561234 reducing max timestep prior to age target 169 4.5161938648019409D+09 170 7.125461 5499.907 -0.187476 -0.187476 1.000000 1.000000 0.718254 0.002658 0.260792 -1.719774 509 0 6.8221E+00 7.125461 -0.052114 -47.558964 -1.779550 -99.000000 0.000000 0.262541 0.008893 0.018944 0.085141 5 5.9945E+07 1.890365 -0.188112 -99.000000 -99.000000 -6.795056 0.000000 0.001811 0.001977 0.019204 0.000E+00 max increase rel_E_err 1.8029364569872881D-13 log_rel_run_E_err -10.6114797385612345 (age_target - star_age)/age_sigma 177 677.9484206685 reducing max timestep prior to age target 177 4.4066647343455658D+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 1.8025585056095473D-13 log_rel_run_E_err -10.5805881685359786 (age_target - star_age)/age_sigma 180 661.9635995505 reducing max timestep prior to age target 180 4.3027633970779762D+09 (age_target - star_age)/age_sigma 182 645.2691226377 reducing max timestep prior to age target 182 4.1942492971448812D+09 (age_target - star_age)/age_sigma 183 634.3418286584 reducing max timestep prior to age target 183 4.1232218862795820D+09 (age_target - star_age)/age_sigma 184 622.0228848007 reducing max timestep prior to age target 184 4.0431487512046027D+09 (age_target - star_age)/age_sigma 185 609.9503198202 reducing max timestep prior to age target 185 3.9646770788311224D+09 (age_target - star_age)/age_sigma 186 598.1192061392 reducing max timestep prior to age target 186 3.8877748399051123D+09 (age_target - star_age)/age_sigma 187 586.5247147319 reducing max timestep prior to age target 187 3.8124106457576218D+09 (age_target - star_age)/age_sigma 188 575.1621131528 reducing max timestep prior to age target 188 3.7385537354930816D+09 (age_target - star_age)/age_sigma 189 564.0267636052 reducing max timestep prior to age target 189 3.6661739634338322D+09 190 7.131691 5536.168 -0.152441 -0.152441 1.000000 1.000000 0.655630 0.004798 0.255425 -1.647967 503 0 7.8508E+00 7.131691 -0.039951 -46.892342 -1.817533 -99.000000 0.000000 0.324739 0.008940 0.018598 0.090814 10 9.7426E+08 1.945116 -0.152372 -15.477469 -99.000000 -6.816016 0.000000 0.000014 0.001989 0.019631 0.000E+00 max_dt rel_E_err 1.9068309821912848D-13 log_rel_run_E_err -10.5532089711413999 (age_target - star_age)/age_sigma 190 553.1141210486 reducing max timestep prior to age target 190 3.5952417868157673D+09 (age_target - star_age)/age_sigma 191 542.4197313431 reducing max timestep prior to age target 191 3.5257282537300644D+09 (age_target - star_age)/age_sigma 192 531.9392294317 reducing max timestep prior to age target 192 3.4576049913060751D+09 (age_target - star_age)/age_sigma 193 521.6683375585 reducing max timestep prior to age target 193 3.3908441941305656D+09 (age_target - star_age)/age_sigma 194 511.6028635229 reducing max timestep prior to age target 194 3.3254186128985662D+09 (age_target - star_age)/age_sigma 195 501.7386989679 reducing max timestep prior to age target 195 3.2613015432912073D+09 (age_target - star_age)/age_sigma 196 492.0718177040 reducing max timestep prior to age target 196 3.1984668150759954D+09 (age_target - star_age)/age_sigma 197 482.5982740654 reducing max timestep prior to age target 197 3.1368887814250870D+09 (age_target - star_age)/age_sigma 198 473.3142012996 reducing max timestep prior to age target 198 3.0765423084471979D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.138991 5551.935 -0.134989 -0.134989 1.000000 1.000000 0.609947 0.004833 0.251858 -1.630397 505 0 7.7719E+00 7.138991 -0.033694 -46.319756 -1.799121 -99.000000 0.000000 0.370335 0.008965 0.018366 0.094031 10 1.6112E+09 1.975315 -0.134917 -99.000000 -99.000000 -6.827056 0.000000 0.000015 0.001998 0.019717 0.000E+00 max_dt rel_E_err 1.8421171095843625D-13 log_rel_run_E_err -10.5269392775938808 (age_target - star_age)/age_sigma 200 455.1174186785 reducing max timestep prior to age target 200 2.9582632214105339D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 446.2009951942 reducing max timestep prior to age target 201 2.9003064687625685D+09 (age_target - star_age)/age_sigma 202 437.4629001796 reducing max timestep prior to age target 202 2.8435088511675625D+09 (age_target - star_age)/age_sigma 203 428.8995670653 reducing max timestep prior to age target 203 2.7878471859244571D+09 (age_target - star_age)/age_sigma 204 420.5075006133 reducing max timestep prior to age target 204 2.7332987539862137D+09 (age_target - star_age)/age_sigma 205 412.2832754903 reducing max timestep prior to age target 205 2.6798412906867347D+09 (age_target - star_age)/age_sigma 206 404.2235348697 reducing max timestep prior to age target 206 2.6274529766532454D+09 (age_target - star_age)/age_sigma 207 396.3249890616 reducing max timestep prior to age target 207 2.5761124289004259D+09 (age_target - star_age)/age_sigma 208 388.5844141696 reducing max timestep prior to age target 208 2.5257986921026630D+09 (age_target - star_age)/age_sigma 209 380.9986507755 reducing max timestep prior to age target 209 2.4764912300408554D+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 1.9045492484885519D-13 log_rel_run_E_err -10.5013146950768537 (age_target - star_age)/age_sigma 210 373.5646026493 reducing max timestep prior to age target 210 2.4281699172202835D+09 (age_target - star_age)/age_sigma 211 366.2792354856 reducing max timestep prior to age target 211 2.3808150306561232D+09 (age_target - star_age)/age_sigma 212 359.1395756651 reducing max timestep prior to age target 212 2.3344072418232460D+09 (age_target - star_age)/age_sigma 213 352.1427090411 reducing max timestep prior to age target 213 2.2889276087670264D+09 (age_target - star_age)/age_sigma 214 345.2857797495 reducing max timestep prior to age target 214 2.2443575683719316D+09 (age_target - star_age)/age_sigma 215 338.5659890438 reducing max timestep prior to age target 215 2.2006789287847385D+09 (age_target - star_age)/age_sigma 216 331.9805941522 reducing max timestep prior to age target 216 2.1578738619892893D+09 (age_target - star_age)/age_sigma 217 325.5269071584 reducing max timestep prior to age target 217 2.1159248965297494D+09 (age_target - star_age)/age_sigma 218 319.2022939045 reducing max timestep prior to age target 218 2.0748149103793998D+09 (age_target - star_age)/age_sigma 219 313.0041729157 reducing max timestep prior to age target 219 2.0345271239520574D+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 -15.255620 -99.000000 -6.844838 0.000000 0.000016 0.002011 0.019843 0.000E+00 max_dt rel_E_err 1.8850932032660744D-13 log_rel_run_E_err -10.4775962524227069 (age_target - star_age)/age_sigma 220 306.9300143467 reducing max timestep prior to age target 220 1.9950450932532616D+09 (age_target - star_age)/age_sigma 221 300.9773389490 reducing max timestep prior to age target 221 1.9563527031684418D+09 (age_target - star_age)/age_sigma 222 295.1437170593 reducing max timestep prior to age target 222 1.9184341608853188D+09 (age_target - star_age)/age_sigma 223 289.4267676074 reducing max timestep prior to age target 223 1.8812739894478579D+09 (age_target - star_age)/age_sigma 224 283.8241571445 reducing max timestep prior to age target 224 1.8448570214391460D+09 (age_target - star_age)/age_sigma 225 278.3335988909 reducing max timestep prior to age target 225 1.8091683927906089D+09 (age_target - star_age)/age_sigma 226 272.9528518023 reducing max timestep prior to age target 226 1.7741935367150421D+09 (age_target - star_age)/age_sigma 227 267.6797196555 reducing max timestep prior to age target 227 1.7399181777609868D+09 (age_target - star_age)/age_sigma 228 262.5120501517 reducing max timestep prior to age target 228 1.7063283259860125D+09 (age_target - star_age)/age_sigma 229 257.4477340379 reducing max timestep prior to age target 229 1.6734102712465377D+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 1.9205625203031605D-13 log_rel_run_E_err -10.4549218517755858 (age_target - star_age)/age_sigma 230 252.4847042464 reducing max timestep prior to age target 230 1.6411505776018524D+09 (age_target - star_age)/age_sigma 231 247.6209350508 reducing max timestep prior to age target 231 1.6095360778300610D+09 (age_target - star_age)/age_sigma 232 242.8544412390 reducing max timestep prior to age target 232 1.5785538680537057D+09 (age_target - star_age)/age_sigma 233 238.1832773035 reducing max timestep prior to age target 233 1.5481913024728770D+09 (age_target - star_age)/age_sigma 235 229.0277959899 reducing max timestep prior to age target 235 1.4886806739344535D+09 (age_target - star_age)/age_sigma 236 224.5416101463 reducing max timestep prior to age target 236 1.4595204659506254D+09 (age_target - star_age)/age_sigma 237 220.1451480195 reducing max timestep prior to age target 237 1.4309434621264739D+09 (age_target - star_age)/age_sigma 238 215.8366151352 reducing max timestep prior to age target 238 1.4029379983788061D+09 (age_target - star_age)/age_sigma 239 211.6142529086 reducing max timestep prior to age target 239 1.3754926439060912D+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 -15.477469 -99.000000 -6.857604 0.000000 0.000017 0.002019 0.019922 0.000E+00 max_dt rel_E_err 1.9197618718652892D-13 log_rel_run_E_err -10.4334444044794168 (age_target - star_age)/age_sigma 240 207.4763379266 reducing max timestep prior to age target 240 1.3485961965228305D+09 (age_target - star_age)/age_sigma 241 203.4211812442 reducing max timestep prior to age target 241 1.3222376780872355D+09 (age_target - star_age)/age_sigma 242 199.4471276954 reducing max timestep prior to age target 242 1.2964063300203519D+09 (age_target - star_age)/age_sigma 243 195.5525552177 reducing max timestep prior to age target 243 1.2710916089148064D+09 (age_target - star_age)/age_sigma 244 191.7358741894 reducing max timestep prior to age target 244 1.2462831822313714D+09 (age_target - star_age)/age_sigma 245 187.9955267818 reducing max timestep prior to age target 245 1.2219709240816050D+09 (age_target - star_age)/age_sigma 246 184.3299863223 reducing max timestep prior to age target 246 1.1981449110948348D+09 (age_target - star_age)/age_sigma 247 180.7377566720 reducing max timestep prior to age target 247 1.1747954183677993D+09 (age_target - star_age)/age_sigma 248 177.2173716147 reducing max timestep prior to age target 248 1.1519129154953046D+09 (age_target - star_age)/age_sigma 249 173.7673942585 reducing max timestep prior to age target 249 1.1294880626802597D+09 250 7.163296 5595.512 -0.081145 -0.081145 1.000000 1.000000 0.473225 0.004985 0.241392 -1.569886 507 0 7.3420E+00 7.163296 -0.013565 -44.563438 -1.730702 -99.000000 0.000000 0.506825 0.008971 0.017692 0.105845 10 3.4620E+09 2.074729 -0.081077 -15.477469 -99.000000 -6.862532 0.000000 0.000017 0.002023 0.019950 0.000E+00 max_dt rel_E_err 1.8244858306891050D-13 log_rel_run_E_err -10.4130627860345655 (age_target - star_age)/age_sigma 250 170.3864164495 reducing max timestep prior to age target 250 1.1075117069215155D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 167.0730581966 reducing max timestep prior to age target 251 1.0859748782779465D+09 (age_target - star_age)/age_sigma 252 163.8259671088 reducing max timestep prior to age target 252 1.0648687862072492D+09 (age_target - star_age)/age_sigma 253 160.6438178428 reducing max timestep prior to age target 253 1.0441848159779654D+09 (age_target - star_age)/age_sigma 254 157.5253115620 reducing max timestep prior to age target 254 1.0239145251532674D+09 (age_target - star_age)/age_sigma 255 154.4691754069 reducing max timestep prior to age target 255 1.0040496401450634D+09 (age_target - star_age)/age_sigma 256 151.4741619749 reducing max timestep prior to age target 256 9.8458205283702326D+08 (age_target - star_age)/age_sigma 257 148.5390488116 reducing max timestep prior to age target 257 9.6550381727514458D+08 (age_target - star_age)/age_sigma 258 145.6626379115 reducing max timestep prior to age target 258 9.4680714642450285D+08 (age_target - star_age)/age_sigma 259 142.8437552294 reducing max timestep prior to age target 259 9.2848440899087381D+08 260 7.166193 5599.834 -0.075065 -0.075065 1.000000 1.000000 0.458258 0.005009 0.240324 -1.562482 508 0 7.2542E+00 7.166193 -0.011196 -44.365190 -1.722124 -99.000000 0.000000 0.521770 0.008961 0.017622 0.107387 10 3.6590E+09 2.086488 -0.074998 -15.477469 -99.000000 -6.866624 0.000000 0.000017 0.002025 0.019972 0.000E+00 max_dt rel_E_err 1.9455525194256694D-13 log_rel_run_E_err -10.3932995653156439 (age_target - star_age)/age_sigma 260 140.0812502009 reducing max timestep prior to age target 260 9.1052812630591774D+08 (age_target - star_age)/age_sigma 261 137.3739952730 reducing max timestep prior to age target 261 8.9293096927466059D+08 (age_target - star_age)/age_sigma 262 134.7208854437 reducing max timestep prior to age target 262 8.7568575538402891D+08 (age_target - star_age)/age_sigma 263 132.1208378110 reducing max timestep prior to age target 263 8.5878544577120924D+08 (age_target - star_age)/age_sigma 264 129.5727911309 reducing max timestep prior to age target 264 8.4222314235064650D+08 (age_target - star_age)/age_sigma 265 127.0757053844 reducing max timestep prior to age target 265 8.2599208499849510D+08 (age_target - star_age)/age_sigma 266 124.6285613528 reducing max timestep prior to age target 266 8.1008564879338646D+08 (age_target - star_age)/age_sigma 267 122.2303602019 reducing max timestep prior to age target 267 7.9449734131238031D+08 (age_target - star_age)/age_sigma 269 117.5298859461 reducing max timestep prior to age target 269 7.6394425864960718D+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 1.7219407054309919D-13 log_rel_run_E_err -10.3748917154502536 (age_target - star_age)/age_sigma 270 115.2266535607 reducing max timestep prior to age target 270 7.4897324814484835D+08 (age_target - star_age)/age_sigma 271 112.9694858231 reducing max timestep prior to age target 271 7.3430165785018539D+08 (age_target - star_age)/age_sigma 272 110.7574614402 reducing max timestep prior to age target 272 7.1992349936141491D+08 (age_target - star_age)/age_sigma 273 108.5896775450 reducing max timestep prior to age target 273 7.0583290404242039D+08 (age_target - star_age)/age_sigma 274 106.4652493277 reducing max timestep prior to age target 274 6.9202412062980556D+08 (age_target - star_age)/age_sigma 275 104.3833096747 reducing max timestep prior to age target 275 6.7849151288544321D+08 (age_target - star_age)/age_sigma 276 102.3430088148 reducing max timestep prior to age target 276 6.6522955729596758D+08 (age_target - star_age)/age_sigma 277 100.3435139720 reducing max timestep prior to age target 277 6.5223284081828165D+08 (age_target - star_age)/age_sigma 278 98.3840090262 reducing max timestep prior to age target 278 6.3949605867014980D+08 (age_target - star_age)/age_sigma 279 96.4636941792 reducing max timestep prior to age target 279 6.2701401216498041D+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 5 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 1.7724274687096899D-13 log_rel_run_E_err -10.3571889547987475 (age_target - star_age)/age_sigma 280 94.5817856292 reducing max timestep prior to age target 280 6.1478160658991480D+08 (age_target - star_age)/age_sigma 281 92.7375152502 reducing max timestep prior to age target 281 6.0279384912634993D+08 (age_target - star_age)/age_sigma 282 90.9301302788 reducing max timestep prior to age target 282 5.9104584681205606D+08 (age_target - star_age)/age_sigma 283 89.1588930068 reducing max timestep prior to age target 283 5.7953280454404831D+08 (age_target - star_age)/age_sigma 284 87.4230804802 reducing max timestep prior to age target 284 5.6825002312140083D+08 (age_target - star_age)/age_sigma 285 85.7219842042 reducing max timestep prior to age target 285 5.5719289732720661D+08 (age_target - star_age)/age_sigma 286 84.0549098537 reducing max timestep prior to age target 286 5.4635691404889584D+08 (age_target - star_age)/age_sigma 287 82.4211769902 reducing max timestep prior to age target 287 5.3573765043615198D+08 (age_target - star_age)/age_sigma 288 80.8201187839 reducing max timestep prior to age target 288 5.2533077209566259D+08 (age_target - star_age)/age_sigma 289 79.2510817418 reducing max timestep prior to age target 289 5.1513203132198286D+08 290 7.172520 5608.532 -0.062300 -0.062300 1.000000 1.000000 0.427132 0.005068 0.238062 -1.546398 506 0 6.9998E+00 7.172520 -0.006163 -43.947708 -1.703541 -99.000000 0.000000 0.552853 0.008928 0.017476 0.110777 5 4.0644E+09 2.111816 -0.062235 -99.000000 -99.000000 -6.875260 0.000000 0.000018 0.002030 0.020015 0.000E+00 max_dt rel_E_err 1.8424336678593926D-13 log_rel_run_E_err -10.3398645211206208 (age_target - star_age)/age_sigma 290 77.7134254406 reducing max timestep prior to age target 290 5.0513726536377668D+08 (age_target - star_age)/age_sigma 291 76.2065222653 reducing max timestep prior to age target 291 4.9534239472473478D+08 (age_target - star_age)/age_sigma 292 74.7297571536 reducing max timestep prior to age target 292 4.8574342149847412D+08 (age_target - star_age)/age_sigma 293 73.2825273441 reducing max timestep prior to age target 293 4.7633642773673773D+08 (age_target - star_age)/age_sigma 294 71.8642421308 reducing max timestep prior to age target 294 4.6711757385023642D+08 (age_target - star_age)/age_sigma 295 70.4743226218 reducing max timestep prior to age target 295 4.5808309704146528D+08 (age_target - star_age)/age_sigma 296 69.1122015029 reducing max timestep prior to age target 296 4.4922930976886940D+08 (age_target - star_age)/age_sigma 297 67.7773228064 reducing max timestep prior to age target 297 4.4055259824172592D+08 (age_target - star_age)/age_sigma 298 66.4691416839 reducing max timestep prior to age target 298 4.3204942094512463D+08 (age_target - star_age)/age_sigma 299 65.1871241838 reducing max timestep prior to age target 299 4.2371630719445562D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.173928 5610.388 -0.059437 -0.059437 1.000000 1.000000 0.420181 0.005083 0.237565 -1.542728 506 0 6.9120E+00 7.173928 -0.005020 -43.853853 -1.699250 -99.000000 0.000000 0.559795 0.008919 0.017444 0.111576 5 4.1540E+09 2.117524 -0.059374 -15.653560 -99.000000 -6.877201 0.000000 0.000018 0.002031 0.020024 0.000E+00 max_dt rel_E_err 1.8544974128592714D-13 log_rel_run_E_err -10.3232214865943721 (age_target - star_age)/age_sigma 300 63.9307470337 reducing max timestep prior to age target 300 4.1554985571880054D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.6994974266 reducing max timestep prior to age target 301 4.0754673327265787D+08 (age_target - star_age)/age_sigma 302 61.4928728116 reducing max timestep prior to age target 302 3.9970367327543831D+08 (age_target - star_age)/age_sigma 304 59.1278885663 reducing max timestep prior to age target 304 3.8433127568088770D+08 (age_target - star_age)/age_sigma 305 57.9690462861 reducing max timestep prior to age target 305 3.7679880085955811D+08 (age_target - star_age)/age_sigma 306 56.8333808515 reducing max timestep prior to age target 306 3.6941697553465462D+08 (age_target - star_age)/age_sigma 307 55.7204287256 reducing max timestep prior to age target 307 3.6218278671624947D+08 (age_target - star_age)/age_sigma 308 54.6297356422 reducing max timestep prior to age target 308 3.5509328167421246D+08 (age_target - star_age)/age_sigma 309 53.5608564205 reducing max timestep prior to age target 309 3.4814556673301649D+08 310 7.175109 5611.950 -0.057044 -0.057044 1.000000 1.000000 0.414406 0.005097 0.237157 -1.539658 509 0 6.8331E+00 7.175109 -0.004065 -43.775519 -1.695632 -99.000000 0.000000 0.565563 0.008910 0.017418 0.112251 5 4.2282E+09 2.122299 -0.056981 -99.000000 -99.000000 -6.878829 0.000000 0.000018 0.002032 0.020031 0.000E+00 max_dt rel_E_err 1.8451832941226529D-13 log_rel_run_E_err -10.3073416530339266 (age_target - star_age)/age_sigma 310 52.5133547832 reducing max timestep prior to age target 310 3.4133680609064436D+08 (age_target - star_age)/age_sigma 311 51.4868031786 reducing max timestep prior to age target 311 3.3466422066111946D+08 (age_target - star_age)/age_sigma 312 50.4807826062 reducing max timestep prior to age target 312 3.2812508694018507D+08 (age_target - star_age)/age_sigma 313 49.4948824452 reducing max timestep prior to age target 313 3.2171673589366961D+08 (age_target - star_age)/age_sigma 314 48.5287002874 reducing max timestep prior to age target 314 3.1543655186808443D+08 (age_target - star_age)/age_sigma 315 47.5818417728 reducing max timestep prior to age target 315 3.0928197152301073D+08 (age_target - star_age)/age_sigma 316 46.6539204284 reducing max timestep prior to age target 316 3.0325048278483820D+08 (age_target - star_age)/age_sigma 317 45.7445575110 reducing max timestep prior to age target 317 2.9733962382142973D+08 (age_target - star_age)/age_sigma 318 44.8533818519 reducing max timestep prior to age target 318 2.9154698203728914D+08 (age_target - star_age)/age_sigma 319 43.9800297060 reducing max timestep prior to age target 319 2.8587019308883095D+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 -15.653560 -99.000000 -6.880166 0.000000 0.000018 0.002033 0.020037 0.000E+00 max_dt rel_E_err 1.7220696123421070D-13 log_rel_run_E_err -10.2920082671819948 (age_target - star_age)/age_sigma 320 43.1241446030 reducing max timestep prior to age target 320 2.8030693991934252D+08 (age_target - star_age)/age_sigma 321 42.2853772020 reducing max timestep prior to age target 321 2.7485495181324339D+08 (age_target - star_age)/age_sigma 322 41.4633851491 reducing max timestep prior to age target 322 2.6951200346926689D+08 (age_target - star_age)/age_sigma 323 40.6578329373 reducing max timestep prior to age target 323 2.6427591409216881D+08 (age_target - star_age)/age_sigma 324 39.8683917696 reducing max timestep prior to age target 324 2.5914454650261402D+08 (age_target - star_age)/age_sigma 325 39.0947394254 reducing max timestep prior to age target 325 2.5411580626484966D+08 (age_target - star_age)/age_sigma 326 38.3365601280 reducing max timestep prior to age target 326 2.4918764083184147D+08 (age_target - star_age)/age_sigma 327 37.5935444165 reducing max timestep prior to age target 327 2.4435803870749283D+08 (age_target - star_age)/age_sigma 328 36.8653890193 reducing max timestep prior to age target 328 2.3962502862563038D+08 (age_target - star_age)/age_sigma 329 36.1517967301 reducing max timestep prior to age target 329 2.3498667874540615D+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 -99.000000 -99.000000 -6.881261 0.000000 0.000018 0.002034 0.020042 0.000E+00 max_dt rel_E_err 1.6421108341887969D-13 log_rel_run_E_err -10.2770953206097779 (age_target - star_age)/age_sigma 330 35.4524762866 reducing max timestep prior to age target 330 2.3044109586278629D+08 (age_target - star_age)/age_sigma 331 34.7671422520 reducing max timestep prior to age target 331 2.2598642463781834D+08 (age_target - star_age)/age_sigma 332 34.0955148981 reducing max timestep prior to age target 332 2.2162084683734989D+08 (age_target - star_age)/age_sigma 333 33.4373200912 reducing max timestep prior to age target 333 2.1734258059289074D+08 (age_target - star_age)/age_sigma 334 32.7922891805 reducing max timestep prior to age target 334 2.1314987967332077D+08 (age_target - star_age)/age_sigma 335 32.1601588880 reducing max timestep prior to age target 335 2.0904103277214241D+08 (age_target - star_age)/age_sigma 336 31.5406712014 reducing max timestep prior to age target 336 2.0501436280898857D+08 (age_target - star_age)/age_sigma 337 30.9335732685 reducing max timestep prior to age target 337 2.0106822624509621D+08 (age_target - star_age)/age_sigma 338 30.3386172942 reducing max timestep prior to age target 338 1.9720101241248226D+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 1.9060892510755773D-13 log_rel_run_E_err -10.2624447012967828 (age_target - star_age)/age_sigma 340 29.1725035847 reducing max timestep prior to age target 340 1.8962127330055904D+08 (age_target - star_age)/age_sigma 341 28.6011078670 reducing max timestep prior to age target 341 1.8590720113571644D+08 (age_target - star_age)/age_sigma 342 28.0411400637 reducing max timestep prior to age target 342 1.8226741041417122D+08 (age_target - star_age)/age_sigma 343 27.4923716165 reducing max timestep prior to age target 343 1.7870041550705719D+08 (age_target - star_age)/age_sigma 344 26.9545785382 reducing max timestep prior to age target 344 1.7520476049808407D+08 (age_target - star_age)/age_sigma 345 26.4275413214 reducing max timestep prior to age target 345 1.7177901858929157D+08 (age_target - star_age)/age_sigma 346 25.9110448490 reducing max timestep prior to age target 346 1.6842179151867485D+08 (age_target - star_age)/age_sigma 347 25.4048783061 reducing max timestep prior to age target 347 1.6513170898946953D+08 (age_target - star_age)/age_sigma 348 24.9088350940 reducing max timestep prior to age target 348 1.6190742811084938D+08 (age_target - star_age)/age_sigma 349 24.4227127461 reducing max timestep prior to age target 349 1.5874763284980106D+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 -15.352530 -99.000000 -6.882916 0.000000 0.000019 0.002035 0.020049 0.000E+00 max_dt rel_E_err 1.8133776580146186D-13 log_rel_run_E_err -10.2483862605934988 (age_target - star_age)/age_sigma 350 23.9463128452 reducing max timestep prior to age target 350 1.5565103349397373D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.4794409423 reducing max timestep prior to age target 351 1.5261636612526417D+08 (age_target - star_age)/age_sigma 352 23.0219064775 reducing max timestep prior to age target 352 1.4964239210392761D+08 (age_target - star_age)/age_sigma 353 22.5735227020 reducing max timestep prior to age target 353 1.4672789756301785D+08 (age_target - star_age)/age_sigma 354 22.1341066020 reducing max timestep prior to age target 354 1.4387169291292667D+08 (age_target - star_age)/age_sigma 355 21.7034788240 reducing max timestep prior to age target 355 1.4107261235583687D+08 (age_target - star_age)/age_sigma 356 21.2814636015 reducing max timestep prior to age target 356 1.3832951340988827D+08 (age_target - star_age)/age_sigma 357 20.8678886835 reducing max timestep prior to age target 357 1.3564127644285965D+08 (age_target - star_age)/age_sigma 358 20.4625852639 reducing max timestep prior to age target 358 1.3300680421517086D+08 (age_target - star_age)/age_sigma 359 20.0653879126 reducing max timestep prior to age target 359 1.3042502143203640D+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 1.7314930522785066D-13 log_rel_run_E_err -10.2347387167291988 (age_target - star_age)/age_sigma 360 19.6761345084 reducing max timestep prior to age target 360 1.2789487430456448D+08 (age_target - star_age)/age_sigma 361 19.2946661723 reducing max timestep prior to age target 361 1.2541533011964226D+08 (age_target - star_age)/age_sigma 362 18.9208272028 reducing max timestep prior to age target 362 1.2298537681841850D+08 (age_target - star_age)/age_sigma 363 18.5544650128 reducing max timestep prior to age target 363 1.2060402258321857D+08 (age_target - star_age)/age_sigma 364 18.1954300666 reducing max timestep prior to age target 364 1.1827029543272305D+08 (age_target - star_age)/age_sigma 365 17.8435758193 reducing max timestep prior to age target 365 1.1598324282523727D+08 (age_target - star_age)/age_sigma 366 17.4987586569 reducing max timestep prior to age target 366 1.1374193126990128D+08 (age_target - star_age)/age_sigma 367 17.1608378378 reducing max timestep prior to age target 367 1.1154544594567204D+08 (age_target - star_age)/age_sigma 368 16.8296754351 reducing max timestep prior to age target 368 1.0939289032792759D+08 (age_target - star_age)/age_sigma 369 16.5051362804 reducing max timestep prior to age target 369 1.0728338582253838D+08 370 7.178935 5616.680 -0.049386 -0.049386 1.000000 1.000000 0.395922 0.005143 0.235838 -1.529624 510 0 6.3154E+00 7.178935 -0.000969 -43.523384 -1.683829 -99.000000 0.000000 0.584025 0.008877 0.017332 0.114486 5 4.4643E+09 2.137790 -0.049326 -99.000000 -99.000000 -6.884034 0.000000 0.000019 0.002035 0.020053 0.000E+00 max_dt rel_E_err 1.6453773228501833D-13 log_rel_run_E_err -10.2215134754073702 (age_target - star_age)/age_sigma 370 16.1870879088 reducing max timestep prior to age target 370 1.0521607140725613D+08 (age_target - star_age)/age_sigma 371 15.8754005047 reducing max timestep prior to age target 371 1.0319010328028011D+08 (age_target - star_age)/age_sigma 372 15.5699468486 reducing max timestep prior to age target 372 1.0120465451584339D+08 (age_target - star_age)/age_sigma 374 14.9712576827 reducing max timestep prior to age target 374 9.7313174937546730D+07 (age_target - star_age)/age_sigma 375 14.6778999914 reducing max timestep prior to age target 375 9.5406349944181442D+07 (age_target - star_age)/age_sigma 376 14.3904094540 reducing max timestep prior to age target 376 9.3537661450684547D+07 (age_target - star_age)/age_sigma 377 14.1086687272 reducing max timestep prior to age target 377 9.1706346727056503D+07 (age_target - star_age)/age_sigma 378 13.8325628151 reducing max timestep prior to age target 378 8.9911658297901154D+07 (age_target - star_age)/age_sigma 379 13.5619790211 reducing max timestep prior to age target 379 8.8152863637330055D+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 -15.954590 -99.000000 -6.884452 0.000000 0.000019 0.002036 0.020055 0.000E+00 max_dt rel_E_err 1.7268408334086246D-13 log_rel_run_E_err -10.2085543294009717 (age_target - star_age)/age_sigma 380 13.2968069031 reducing max timestep prior to age target 380 8.6429244869968414D+07 (age_target - star_age)/age_sigma 381 13.0369382274 reducing max timestep prior to age target 381 8.4740098477954865D+07 (age_target - star_age)/age_sigma 382 12.7822669252 reducing max timestep prior to age target 382 8.3084735013782501D+07 (age_target - star_age)/age_sigma 383 12.5326890491 reducing max timestep prior to age target 383 8.1462478818892479D+07 (age_target - star_age)/age_sigma 384 12.2881027304 reducing max timestep prior to age target 384 7.9872667747900009D+07 (age_target - star_age)/age_sigma 385 12.0484081382 reducing max timestep prior to age target 385 7.8314652898327827D+07 (age_target - star_age)/age_sigma 386 11.8135074378 reducing max timestep prior to age target 386 7.6787798345746994D+07 (age_target - star_age)/age_sigma 387 11.5833047514 reducing max timestep prior to age target 387 7.5291480884218216D+07 (age_target - star_age)/age_sigma 388 11.3577061188 reducing max timestep prior to age target 388 7.3825089771919250D+07 (age_target - star_age)/age_sigma 389 11.1366194587 reducing max timestep prior to age target 389 7.2388026481866837D+07 390 7.179499 5617.352 -0.048267 -0.048267 1.000000 1.000000 0.393227 0.005150 0.235647 -1.528142 510 0 6.1487E+00 7.179499 -0.000514 -43.486404 -1.682076 -99.000000 0.000000 0.586717 0.008871 0.017320 0.114821 5 4.4985E+09 2.140073 -0.048207 -15.051500 -99.000000 -6.884795 0.000000 0.000019 0.002036 0.020056 0.000E+00 max_dt rel_E_err 1.8598628957636596D-13 log_rel_run_E_err -10.1962148110714459 (age_target - star_age)/age_sigma 390 10.9199545319 reducing max timestep prior to age target 390 7.0979704457615852D+07 (age_target - star_age)/age_sigma 391 10.7076229037 reducing max timestep prior to age target 391 6.9599548873848915D+07 (age_target - star_age)/age_sigma 392 10.4995379080 reducing max timestep prior to age target 392 6.8246996401758194D+07 (age_target - star_age)/age_sigma 393 10.2956146122 reducing max timestep prior to age target 393 6.6921494979108810D+07 (age_target - star_age)/age_sigma 394 10.0957697823 reducing max timestep prior to age target 394 6.5622503584912300D+07 (age_target - star_age)/age_sigma 395 9.8999218490 reducing max timestep prior to age target 395 6.4349492018600464D+07 (age_target - star_age)/age_sigma 396 9.7079908744 reducing max timestep prior to age target 396 6.3101940683613777D+07 (age_target - star_age)/age_sigma 397 9.5198985193 reducing max timestep prior to age target 397 6.1879340375327110D+07 (age_target - star_age)/age_sigma 398 9.3355680113 reducing max timestep prior to age target 398 6.0681192073206902D+07 (age_target - star_age)/age_sigma 399 9.1549241134 reducing max timestep prior to age target 399 5.9507006737128258D+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 -99.000000 -99.000000 -6.885076 0.000000 0.000019 0.002036 0.020057 0.000E+00 max_dt rel_E_err 1.9198772188762114D-13 log_rel_run_E_err -10.1841862643285843 (age_target - star_age)/age_sigma 400 8.9778930935 reducing max timestep prior to age target 400 5.8356305107771873D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.8044026940 reducing max timestep prior to age target 401 5.7228617511002541D+07 (age_target - star_age)/age_sigma 402 8.6343821025 reducing max timestep prior to age target 402 5.6123483666168213D+07 (age_target - star_age)/age_sigma 403 8.4677619228 reducing max timestep prior to age target 403 5.5040452498229980D+07 (age_target - star_age)/age_sigma 404 8.3044741467 reducing max timestep prior to age target 404 5.3979081953651428D+07 (age_target - star_age)/age_sigma 405 8.1444521261 reducing max timestep prior to age target 405 5.2938938819964409D+07 (age_target - star_age)/age_sigma 406 7.9876305460 reducing max timestep prior to age target 406 5.1919598548951149D+07 (age_target - star_age)/age_sigma 407 7.8339453974 reducing max timestep prior to age target 407 5.0920645083357811D+07 (age_target - star_age)/age_sigma 409 7.5327225063 reducing max timestep prior to age target 409 4.8962696290795326D+07 410 7.179880 5617.800 -0.047515 -0.047515 1.000000 1.000000 0.391417 0.005155 0.235519 -1.527144 510 0 5.9820E+00 7.179880 -0.000207 -43.461526 -1.680893 -99.000000 0.000000 0.588525 0.008867 0.017311 0.115048 3 4.5215E+09 2.141609 -0.047455 -99.000000 -99.000000 -6.885307 0.000000 0.000019 0.002036 0.020058 0.000E+00 max_dt rel_E_err 1.7930822594761234D-13 log_rel_run_E_err -10.1723258713666489 (age_target - star_age)/age_sigma 410 7.3851232896 reducing max timestep prior to age target 410 4.8003301382439613D+07 (age_target - star_age)/age_sigma 411 7.2404760573 reducing max timestep prior to age target 411 4.7063094372251511D+07 (age_target - star_age)/age_sigma 412 7.0987217696 reducing max timestep prior to age target 412 4.6141691502266884D+07 (age_target - star_age)/age_sigma 413 6.9598025676 reducing max timestep prior to age target 413 4.5238716689682007D+07 (age_target - star_age)/age_sigma 414 6.8236617497 reducing max timestep prior to age target 414 4.4353801373348236D+07 (age_target - star_age)/age_sigma 415 6.6902437482 reducing max timestep prior to age target 415 4.3486584363341331D+07 (age_target - star_age)/age_sigma 416 6.5594941067 reducing max timestep prior to age target 416 4.2636711693534851D+07 (age_target - star_age)/age_sigma 417 6.4313594580 reducing max timestep prior to age target 417 4.1803836477125168D+07 (age_target - star_age)/age_sigma 418 6.3057875023 reducing max timestep prior to age target 418 4.0987618765042305D+07 (age_target - star_age)/age_sigma 419 6.1827269857 reducing max timestep prior to age target 419 4.0187725407201767D+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 -15.477469 -99.000000 -6.885498 0.000000 0.000019 0.002036 0.020059 0.000E+00 max_dt rel_E_err 1.9712331682862256D-13 log_rel_run_E_err -10.1606742102081071 (age_target - star_age)/age_sigma 420 6.0621276795 reducing max timestep prior to age target 420 3.9403829916518211D+07 (age_target - star_age)/age_sigma 421 5.9439403593 reducing max timestep prior to age target 421 3.8635612335648537D+07 (age_target - star_age)/age_sigma 422 5.8281167856 reducing max timestep prior to age target 422 3.7882759106395721D+07 (age_target - star_age)/age_sigma 423 5.7146096833 reducing max timestep prior to age target 423 3.7144962941727638D+07 (age_target - star_age)/age_sigma 424 5.6033727231 reducing max timestep prior to age target 424 3.6421922700353622D+07 (age_target - star_age)/age_sigma 425 5.4943605021 reducing max timestep prior to age target 425 3.5713343263806343D+07 (age_target - star_age)/age_sigma 426 5.3875285255 reducing max timestep prior to age target 426 3.5018935415990829D+07 (age_target - star_age)/age_sigma 427 5.2828331885 reducing max timestep prior to age target 427 3.4338415725131035D+07 (age_target - star_age)/age_sigma 428 5.1802317582 reducing max timestep prior to age target 428 3.3671506428088188D+07 (age_target - star_age)/age_sigma 429 5.0796823565 reducing max timestep prior to age target 429 3.3017935316987038D+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 1.9539869288211945D-13 log_rel_run_E_err -10.1495034878999189 (age_target - star_age)/age_sigma 430 4.9800807416 remaining steps and years until age target 430 50 3.2370524820575714D+07 (age_target - star_age)/age_sigma 431 4.8804791268 remaining steps and years until age target 431 49 3.1723114324164391D+07 (age_target - star_age)/age_sigma 432 4.7808775120 remaining steps and years until age target 432 48 3.1075703827753067D+07 (age_target - star_age)/age_sigma 433 4.6812758971 remaining steps and years until age target 433 47 3.0428293331341743D+07 (age_target - star_age)/age_sigma 434 4.5816742823 reducing max timestep prior to age target 434 2.9780882834929466D+07 (age_target - star_age)/age_sigma 435 4.4820726675 remaining steps and years until age target 435 45 2.9133472338518143D+07 (age_target - star_age)/age_sigma 436 4.3824710526 remaining steps and years until age target 436 44 2.8486061842106819D+07 (age_target - star_age)/age_sigma 437 4.2828694378 remaining steps and years until age target 437 43 2.7838651345695496D+07 (age_target - star_age)/age_sigma 438 4.1832678230 remaining steps and years until age target 438 42 2.7191240849284172D+07 (age_target - star_age)/age_sigma 439 4.0836662081 remaining steps and years until age target 439 41 2.6543830352872849D+07 440 7.180247 5618.231 -0.046790 -0.046790 1.000000 1.000000 0.389674 0.005160 0.235397 -1.526180 510 0 5.8112E+00 7.180247 0.000089 -43.437548 -1.679750 -99.000000 0.000000 0.590266 0.008864 0.017303 0.115267 3 4.5436E+09 2.143092 -0.046730 -99.000000 -99.000000 -6.885799 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt rel_E_err 1.7220302556861159D-13 log_rel_run_E_err -10.1386496586273047 (age_target - star_age)/age_sigma 440 3.9840645933 remaining steps and years until age target 440 40 2.5896419856461525D+07 (age_target - star_age)/age_sigma 441 3.8844629785 remaining steps and years until age target 441 39 2.5249009360050201D+07 (age_target - star_age)/age_sigma 442 3.7848613636 remaining steps and years until age target 442 38 2.4601598863638878D+07 (age_target - star_age)/age_sigma 443 3.6852597488 remaining steps and years until age target 443 37 2.3954188367227554D+07 (age_target - star_age)/age_sigma 444 3.5856581340 remaining steps and years until age target 444 36 2.3306777870816231D+07 (age_target - star_age)/age_sigma 445 3.4860565191 remaining steps and years until age target 445 35 2.2659367374404907D+07 (age_target - star_age)/age_sigma 446 3.3864549043 remaining steps and years until age target 446 34 2.2011956877993584D+07 (age_target - star_age)/age_sigma 447 3.2868532895 remaining steps and years until age target 447 33 2.1364546381582260D+07 (age_target - star_age)/age_sigma 448 3.1872516746 remaining steps and years until age target 448 32 2.0717135885170937D+07 (age_target - star_age)/age_sigma 449 3.0876500598 reducing max timestep prior to age target 449 2.0069725388758659D+07 450 7.180355 5618.358 -0.046577 -0.046577 1.000000 1.000000 0.389163 0.005161 0.235361 -1.525898 510 0 5.8112E+00 7.180355 0.000176 -43.430516 -1.679414 -99.000000 0.000000 0.590777 0.008863 0.017301 0.115331 3 4.5501E+09 2.143527 -0.046518 -15.954590 -99.000000 -6.885942 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt rel_E_err 1.8228891385658994D-13 log_rel_run_E_err -10.1280398554963984 (age_target - star_age)/age_sigma 450 2.9880484450 remaining steps and years until age target 450 30 1.9422314892347336D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8884468301 remaining steps and years until age target 451 29 1.8774904395936012D+07 (age_target - star_age)/age_sigma 452 2.7888452153 remaining steps and years until age target 452 28 1.8127493899524689D+07 (age_target - star_age)/age_sigma 453 2.6892436005 remaining steps and years until age target 453 27 1.7480083403113365D+07 (age_target - star_age)/age_sigma 454 2.5896419856 remaining steps and years until age target 454 26 1.6832672906702042D+07 (age_target - star_age)/age_sigma 455 2.4900403708 remaining steps and years until age target 455 25 1.6185262410290718D+07 (age_target - star_age)/age_sigma 456 2.3904387560 remaining steps and years until age target 456 24 1.5537851913879395D+07 (age_target - star_age)/age_sigma 457 2.2908371411 reducing max timestep prior to age target 457 1.4890441417467117D+07 (age_target - star_age)/age_sigma 458 2.1912355263 remaining steps and years until age target 458 22 1.4243030921055794D+07 (age_target - star_age)/age_sigma 459 2.0916339115 remaining steps and years until age target 459 21 1.3595620424644470D+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 1.9194475706676483D-13 log_rel_run_E_err -10.1177350776138422 (age_target - star_age)/age_sigma 460 1.9920322967 remaining steps and years until age target 460 20 1.2948209928233147D+07 (age_target - star_age)/age_sigma 461 1.8924306818 reducing max timestep prior to age target 461 1.2300799431820869D+07 (age_target - star_age)/age_sigma 462 1.7928290670 remaining steps and years until age target 462 18 1.1653388935409546D+07 (age_target - star_age)/age_sigma 463 1.6932274522 reducing max timestep prior to age target 463 1.1005978438997269D+07 (age_target - star_age)/age_sigma 464 1.5936258373 remaining steps and years until age target 464 16 1.0358567942585945D+07 (age_target - star_age)/age_sigma 465 1.4940242225 remaining steps and years until age target 465 15 9.7111574461746216D+06 (age_target - star_age)/age_sigma 466 1.3944226077 remaining steps and years until age target 466 14 9.0637469497632980D+06 (age_target - star_age)/age_sigma 467 1.2948209928 reducing max timestep prior to age target 467 8.4163364533510208D+06 (age_target - star_age)/age_sigma 468 1.1952193780 remaining steps and years until age target 468 12 7.7689259569396973D+06 (age_target - star_age)/age_sigma 469 1.0956177632 reducing max timestep prior to age target 469 7.1215154605274200D+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 1.8871820146212998D-13 log_rel_run_E_err -10.1074476071956951 (age_target - star_age)/age_sigma 470 0.9960161483 remaining steps and years until age target 470 10 6.4741049641160965D+06 (age_target - star_age)/age_sigma 471 0.8964145335 remaining steps and years until age target 471 9 5.8266944677047729D+06 (age_target - star_age)/age_sigma 472 0.7968129187 remaining steps and years until age target 472 8 5.1792839712934494D+06 (age_target - star_age)/age_sigma 473 0.6972113038 reducing max timestep prior to age target 473 4.5318734748811722D+06 (age_target - star_age)/age_sigma 474 0.5976096890 remaining steps and years until age target 474 6 3.8844629784698486D+06 (age_target - star_age)/age_sigma 475 0.4980080742 reducing max timestep prior to age target 475 3.2370524820575714D+06 (age_target - star_age)/age_sigma 476 0.3984064593 remaining steps and years until age target 476 4 2.5896419856462479D+06 (age_target - star_age)/age_sigma 477 0.2988048445 remaining steps and years until age target 477 3 1.9422314892349243D+06 (age_target - star_age)/age_sigma 478 0.1992032297 reducing max timestep prior to age target 478 1.2948209928226471D+06 (age_target - star_age)/age_sigma 479 0.0996016148 remaining steps and years until age target 479 1 6.4741049641227722D+05 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 1.7905116617506001D-13 log_rel_run_E_err -10.0974244880719493 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333338.76 0.00 333338.76 save outputs/best.mod 480 save outputs/best.profile for model 480 save LOGS/profile11.data for model 480 have reached age_target save LOGS/profile11.data for model 480 solver retries 5 varcontrol dt limit 202 max increase dt limit 2677 lgTeff dt limit 1 lgRho_cntr dt limit 92 model saved to final.mod save photos/x480 for model 480 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333338.76 0.00 333338.76 have reached age_target runtime (minutes), retries, steps 3.05 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 1.7905116617506001D-13 log_rel_run_E_err -10.0974244880719493 Teff 5618.7368615166 radius 1.0010042019 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1.0084215518 M_H 0.0039078812 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 15.2715351483 log_R 0.0004359005 delta_nu 141.3127210039 nu_max 3113.4409185990 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 333338.7599855667 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 "8f7f3a3" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251201" "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 3.3333875998556666E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615165515E+03 1.0010042019477079E+00 3.9078811584153271E-03 4.3590053513541853E-04 1.4131272100393792E+02 3.1134409185990198E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998556666E+05 0 0 0 0 0 0 0 4 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 1 3.3351283960191236E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383766992E+03 1.0231407131234238E+00 -1.7395981939735516E-03 9.9353665865795134E-03 1.3680762272705050E+02 2.9640776267829306E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191236E+05 0 0 0 0 0 0 0 3 3.3365606602482504E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368751E+03 1.0099970103007712E+00 2.9466215561576154E-02 4.3200882264055936E-03 1.3947582155333157E+02 3.0536692076803915E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482504E+05 0 0 0 0 0 0 0 2 3.3468070564325486E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272648E+03 1.0622782375814108E+00 -1.2788199776276491E-02 2.6238284372325182E-02 1.2938435093833905E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325486E+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 -28.597850 -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 3.9562807330739613D-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 1.8246323735112702D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -21.674160 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692958677860449D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1237564951901089D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.620908 4342.789 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 0 -4.2874E+00 6.620908 0.263043 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 2.5959E-04 0.154703 0.031855 -99.000000 -99.000000 -6.892801 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7554754109275707D-13 log_rel_run_E_err -11.5760899148676373 solver rejected trial model s% model_number 12 s% solver_call_number 129 nz 457 s% num_retries 0 dt 2.3447560958823619D+03 log dt/secyer -4.1290062934761265D+00 retry: max residual jumped -- give up in solver 12 20 6.620908 4356.555 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1 -3.8758E+00 6.620908 0.263059 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 3 9.7160E-04 0.154704 0.037384 -99.000000 -99.000000 -6.898682 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6585304029575295D-13 log_rel_run_E_err -11.2773846452271957 30 6.620909 4361.398 -4.908929 -4.908929 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1 -3.0840E+00 6.620909 0.263069 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 5 5.1182E-03 0.154704 0.039335 -99.000000 -99.000000 -6.900725 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6715806907779055D-13 log_rel_run_E_err -11.1018765175272538 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 2.6566660638631974D-13 log_rel_run_E_err -10.9753131039896257 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 -20.470040 -99.000000 -6.900290 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5559923407963579D-13 log_rel_run_E_err -10.8783296747603178 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 2.4739615825927774D-13 log_rel_run_E_err -10.8008158882560803 70 6.620909 4359.627 -4.908925 -4.908925 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027571 457 1 8.3295E-02 6.620909 0.263060 -99.000000 -6.306673 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 7.2687E+00 0.154705 0.038610 -20.293948 -99.000000 -6.899973 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.9046183737618752D-13 log_rel_run_E_err -10.7329535672228236 80 6.620910 4359.596 -4.908904 -4.908904 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027560 457 1 8.7511E-01 6.620910 0.263054 -99.000000 -6.306652 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 4.5005E+01 0.154712 0.038587 -99.000000 -99.000000 -6.899954 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7871499427401072D-13 log_rel_run_E_err -10.6745730133994066 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 -20.771070 -99.000000 -6.899918 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 4.3194632467299693D-13 log_rel_run_E_err -10.5794739744025872 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.620999 4359.468 -4.907882 -4.907882 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027077 457 1 2.4587E+00 6.620999 0.262944 -99.000000 -6.305631 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071842 2 1.7254E+03 0.155054 0.038316 -20.072100 -99.000000 -6.899769 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7622100148859030D-13 log_rel_run_E_err -10.5375037717968514 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.621478 4358.901 -4.902453 -4.902453 1.000000 1.000000 0.712376 0.000890 0.270000 -4.024505 457 1 3.2505E+00 6.621478 0.262374 -99.000000 -6.300201 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071864 2 1.0683E+04 0.156883 0.036950 -20.771070 -99.000000 -6.898850 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6449313227730395D-13 log_rel_run_E_err -10.4997307567480949 120 6.624383 4355.426 -4.869457 -4.869457 1.000000 1.000000 0.712376 0.000890 0.270000 -4.008751 457 1 4.0424E+00 6.624383 0.258903 -99.000000 -6.267202 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071999 2 6.6147E+04 0.168041 0.028623 -20.771070 -99.000000 -6.893241 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 5.3535009990386110D-15 log_rel_run_E_err -10.4729829705178670 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 -20.470040 -99.000000 -6.861216 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5661834203081135D-13 log_rel_run_E_err -10.4194521002354339 140 6.701163 4260.010 -3.970238 -3.970238 1.000000 1.000000 0.712374 0.000890 0.270000 -3.477253 460 1 5.6260E+00 6.701163 0.163362 -99.000000 -5.367875 -99.000000 0.000000 0.270001 0.008266 0.017624 0.078570 4 2.5359E+06 0.512179 -0.200940 -99.000000 -99.000000 -6.733749 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 4.6333458518616841D-12 log_rel_run_E_err -10.3513840284613501 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 2.4153345364836900D-13 log_rel_run_E_err -10.4590697339695087 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 -17.158710 -99.000000 -6.778611 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr rel_E_err 1.8511094787040041D-13 log_rel_run_E_err -10.5797019578048399 170 7.134571 5631.372 -0.138564 -0.138564 1.000000 1.000000 0.711584 0.001681 0.269894 -1.734404 525 1 6.5395E+00 7.134571 -0.039437 -47.026461 -1.694338 -99.000000 0.000000 0.270676 0.008267 0.017618 0.084079 5 3.8515E+07 1.899740 -0.121723 -15.477469 -99.000000 -6.824534 0.000000 0.002361 0.001838 0.017740 0.000E+00 max increase rel_E_err 2.0126695089164243D-13 log_rel_run_E_err -10.6862383233349227 (age_target - star_age)/age_sigma 173 694.7474824403 reducing max timestep prior to age target 173 4.5158586358618374D+09 180 7.132576 5623.798 -0.130991 -0.130991 1.000000 1.000000 0.704701 0.004374 0.269138 -1.677134 511 1 7.3313E+00 7.132576 -0.042805 -47.061369 -1.775424 -99.000000 0.000000 0.277162 0.008273 0.017575 0.086331 10 1.4639E+08 1.921941 -0.130798 -15.954590 -99.000000 -6.818386 0.000000 0.000055 0.001839 0.018137 0.000E+00 max increase rel_E_err 1.9550821298947665D-13 log_rel_run_E_err -10.6496317011459212 (age_target - star_age)/age_sigma 180 680.4785088500 reducing max timestep prior to age target 180 4.4231103075251541D+09 (age_target - star_age)/age_sigma 183 666.0693698208 reducing max timestep prior to age target 183 4.3294509038353872D+09 (age_target - star_age)/age_sigma 185 651.0205283556 reducing max timestep prior to age target 185 4.2316334343114810D+09 (age_target - star_age)/age_sigma 187 629.3501966457 reducing max timestep prior to age target 187 4.0907762781970558D+09 (age_target - star_age)/age_sigma 188 617.0312527880 reducing max timestep prior to age target 188 4.0107031431220765D+09 (age_target - star_age)/age_sigma 189 604.9586878075 reducing max timestep prior to age target 189 3.9322314707485962D+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 2.0471691550657834D-13 log_rel_run_E_err -10.6151076244623450 (age_target - star_age)/age_sigma 190 593.1275741266 reducing max timestep prior to age target 190 3.8553292318225861D+09 (age_target - star_age)/age_sigma 191 581.5330827192 reducing max timestep prior to age target 191 3.7799650376750960D+09 (age_target - star_age)/age_sigma 192 570.1704811401 reducing max timestep prior to age target 192 3.7061081274105558D+09 (age_target - star_age)/age_sigma 193 559.0351315925 reducing max timestep prior to age target 193 3.6337283553513060D+09 (age_target - star_age)/age_sigma 194 548.1224890359 reducing max timestep prior to age target 194 3.5627961787332416D+09 (age_target - star_age)/age_sigma 195 537.4280993304 reducing max timestep prior to age target 195 3.4932826456475382D+09 (age_target - star_age)/age_sigma 196 526.9475974190 reducing max timestep prior to age target 196 3.4251593832235489D+09 (age_target - star_age)/age_sigma 197 516.6767055459 reducing max timestep prior to age target 197 3.3583985860480394D+09 (age_target - star_age)/age_sigma 198 506.6112315102 reducing max timestep prior to age target 198 3.2929730048160405D+09 (age_target - star_age)/age_sigma 199 496.7470669552 reducing max timestep prior to age target 199 3.2288559352086811D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.147385 5656.293 -0.090590 -0.090590 1.000000 1.000000 0.606417 0.004497 0.260494 -1.634323 516 1 7.7982E+00 7.147385 -0.027668 -45.850341 -1.751733 -99.000000 0.000000 0.375274 0.008314 0.017066 0.093074 10 1.4035E+09 1.987283 -0.090515 -99.000000 -99.000000 -6.847100 0.000000 0.000014 0.001855 0.018309 0.000E+00 max_dt rel_E_err 1.9513700824237114D-13 log_rel_run_E_err -10.5835241156685580 (age_target - star_age)/age_sigma 200 487.0801856913 reducing max timestep prior to age target 200 3.1660212069934692D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 477.6066420527 reducing max timestep prior to age target 201 3.1044431733425617D+09 (age_target - star_age)/age_sigma 202 468.3225692869 reducing max timestep prior to age target 202 3.0440967003646717D+09 (age_target - star_age)/age_sigma 203 459.2241779764 reducing max timestep prior to age target 203 2.9849571568463402D+09 (age_target - star_age)/age_sigma 204 450.3077544921 reducing max timestep prior to age target 204 2.9270004041983747D+09 (age_target - star_age)/age_sigma 205 441.5696594774 reducing max timestep prior to age target 205 2.8702027866033688D+09 (age_target - star_age)/age_sigma 206 433.0063263631 reducing max timestep prior to age target 206 2.8145411213602629D+09 (age_target - star_age)/age_sigma 207 424.6142599111 reducing max timestep prior to age target 207 2.7599926894220195D+09 (age_target - star_age)/age_sigma 208 416.3900347881 reducing max timestep prior to age target 208 2.7065352261225405D+09 (age_target - star_age)/age_sigma 209 408.3302941675 reducing max timestep prior to age target 209 2.6541469120890512D+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 1.7799963957709310D-13 log_rel_run_E_err -10.5537537186647921 (age_target - star_age)/age_sigma 210 400.4317483594 reducing max timestep prior to age target 210 2.6028063643362322D+09 (age_target - star_age)/age_sigma 211 392.6911734675 reducing max timestep prior to age target 211 2.5524926275384688D+09 (age_target - star_age)/age_sigma 212 385.1054100733 reducing max timestep prior to age target 212 2.5031851654766612D+09 (age_target - star_age)/age_sigma 213 377.6713619471 reducing max timestep prior to age target 213 2.4548638526560898D+09 (age_target - star_age)/age_sigma 214 370.3859947834 reducing max timestep prior to age target 214 2.4075089660919290D+09 (age_target - star_age)/age_sigma 215 363.2463349629 reducing max timestep prior to age target 215 2.3611011772590523D+09 (age_target - star_age)/age_sigma 216 356.2494683389 reducing max timestep prior to age target 216 2.3156215442028327D+09 (age_target - star_age)/age_sigma 217 349.3925390473 reducing max timestep prior to age target 217 2.2710515038077374D+09 (age_target - star_age)/age_sigma 218 342.6727483416 reducing max timestep prior to age target 218 2.2273728642205443D+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 1.8650818671184184D-13 log_rel_run_E_err -10.5260413148543854 (age_target - star_age)/age_sigma 220 329.5019585584 reducing max timestep prior to age target 220 2.1417627306296463D+09 (age_target - star_age)/age_sigma 221 323.0482715646 reducing max timestep prior to age target 221 2.0998137651701064D+09 (age_target - star_age)/age_sigma 222 316.7236583107 reducing max timestep prior to age target 222 2.0587037790197568D+09 (age_target - star_age)/age_sigma 223 310.5255373219 reducing max timestep prior to age target 223 2.0184159925924139D+09 (age_target - star_age)/age_sigma 224 304.4513787529 reducing max timestep prior to age target 224 1.9789339618936181D+09 (age_target - star_age)/age_sigma 225 298.4987033552 reducing max timestep prior to age target 225 1.9402415718087988D+09 (age_target - star_age)/age_sigma 226 292.6650814655 reducing max timestep prior to age target 226 1.9023230295256753D+09 (age_target - star_age)/age_sigma 227 286.9481320136 reducing max timestep prior to age target 227 1.8651628580882144D+09 (age_target - star_age)/age_sigma 228 281.3455215507 reducing max timestep prior to age target 228 1.8287458900795031D+09 (age_target - star_age)/age_sigma 229 275.8549632971 reducing max timestep prior to age target 229 1.7930572614309654D+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 1.8459925192436258D-13 log_rel_run_E_err -10.5006146981816961 (age_target - star_age)/age_sigma 230 270.4742162085 reducing max timestep prior to age target 230 1.7580824053553987D+09 (age_target - star_age)/age_sigma 231 265.2010840617 reducing max timestep prior to age target 231 1.7238070464013433D+09 (age_target - star_age)/age_sigma 232 260.0334145579 reducing max timestep prior to age target 232 1.6902171946263695D+09 (age_target - star_age)/age_sigma 233 254.9690984441 reducing max timestep prior to age target 233 1.6572991398868947D+09 (age_target - star_age)/age_sigma 234 250.0060686526 reducing max timestep prior to age target 234 1.6250394462422094D+09 (age_target - star_age)/age_sigma 235 245.1422994570 reducing max timestep prior to age target 235 1.5934249464704180D+09 (age_target - star_age)/age_sigma 236 240.3758056452 reducing max timestep prior to age target 236 1.5624427366940622D+09 (age_target - star_age)/age_sigma 237 235.7046417097 reducing max timestep prior to age target 237 1.5320801711132340D+09 (age_target - star_age)/age_sigma 238 231.1269010529 reducing max timestep prior to age target 238 1.5023248568440223D+09 (age_target - star_age)/age_sigma 239 226.6407152093 reducing max timestep prior to age target 239 1.4731646488601942D+09 240 7.172591 5694.658 -0.035209 -0.035209 1.000000 1.000000 0.464654 0.004677 0.248771 -1.573620 516 1 7.4560E+00 7.172591 -0.005853 -44.049525 -1.678592 -99.000000 0.000000 0.516838 0.008267 0.016375 0.105255 10 3.1249E+09 2.089700 -0.035141 -15.954590 -99.000000 -6.888330 0.000000 0.000016 0.001877 0.018509 0.000E+00 max_dt rel_E_err 1.8490562938431096D-13 log_rel_run_E_err -10.4761757582262600 (age_target - star_age)/age_sigma 240 222.2442530825 reducing max timestep prior to age target 240 1.4445876450360427D+09 (age_target - star_age)/age_sigma 241 217.9357201982 reducing max timestep prior to age target 241 1.4165821812883749D+09 (age_target - star_age)/age_sigma 242 213.7133579716 reducing max timestep prior to age target 242 1.3891368268156600D+09 (age_target - star_age)/age_sigma 243 209.5754429896 reducing max timestep prior to age target 243 1.3622403794323993D+09 (age_target - star_age)/age_sigma 244 205.5202863072 reducing max timestep prior to age target 244 1.3358818609968042D+09 (age_target - star_age)/age_sigma 245 201.5462327584 reducing max timestep prior to age target 245 1.3100505129299207D+09 (age_target - star_age)/age_sigma 246 197.6516602807 reducing max timestep prior to age target 246 1.2847357918243752D+09 (age_target - star_age)/age_sigma 247 193.8349792525 reducing max timestep prior to age target 247 1.2599273651409402D+09 (age_target - star_age)/age_sigma 248 190.0946318448 reducing max timestep prior to age target 248 1.2356151069911737D+09 (age_target - star_age)/age_sigma 249 186.4290913853 reducing max timestep prior to age target 249 1.2117890940044036D+09 250 7.176829 5699.811 -0.026439 -0.026439 1.000000 1.000000 0.442801 0.004721 0.247041 -1.563207 518 1 7.3683E+00 7.176829 -0.002254 -43.763514 -1.665570 -99.000000 0.000000 0.538665 0.008238 0.016271 0.107528 10 3.3811E+09 2.106772 -0.026373 -99.000000 -99.000000 -6.894869 0.000000 0.000017 0.001880 0.018533 0.000E+00 max_dt rel_E_err 1.9612302352774092D-13 log_rel_run_E_err -10.4530626837549541 (age_target - star_age)/age_sigma 250 182.8368617350 reducing max timestep prior to age target 250 1.1884396012773681D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.3164766777 reducing max timestep prior to age target 251 1.1655570984048734D+09 (age_target - star_age)/age_sigma 252 175.8664993215 reducing max timestep prior to age target 252 1.1431322455898285D+09 (age_target - star_age)/age_sigma 254 169.1045437034 reducing max timestep prior to age target 254 1.0991795340723400D+09 (age_target - star_age)/age_sigma 255 165.7911854506 reducing max timestep prior to age target 255 1.0776427054287715D+09 (age_target - star_age)/age_sigma 256 162.5440943628 reducing max timestep prior to age target 256 1.0565366133580737D+09 (age_target - star_age)/age_sigma 257 159.3619450967 reducing max timestep prior to age target 257 1.0358526431287899D+09 (age_target - star_age)/age_sigma 258 156.2434388160 reducing max timestep prior to age target 258 1.0155823523040919D+09 (age_target - star_age)/age_sigma 259 153.1873026609 reducing max timestep prior to age target 259 9.9571746729588795D+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 -15.352530 -99.000000 -6.900359 0.000000 0.000017 0.001883 0.018553 0.000E+00 max_dt rel_E_err 1.8292731634431765D-13 log_rel_run_E_err -10.4314166119043783 (age_target - star_age)/age_sigma 260 150.1922892289 reducing max timestep prior to age target 260 9.7624987998784781D+08 (age_target - star_age)/age_sigma 261 147.2571760655 reducing max timestep prior to age target 261 9.5717164442596912D+08 (age_target - star_age)/age_sigma 262 144.3807651654 reducing max timestep prior to age target 262 9.3847497357532740D+08 (age_target - star_age)/age_sigma 263 141.5618824833 reducing max timestep prior to age target 263 9.2015223614169836D+08 (age_target - star_age)/age_sigma 264 138.7993774549 reducing max timestep prior to age target 264 9.0219595345674229D+08 (age_target - star_age)/age_sigma 265 136.0921225270 reducing max timestep prior to age target 265 8.8459879642548513D+08 (age_target - star_age)/age_sigma 266 133.4390126977 reducing max timestep prior to age target 266 8.6735358253485346D+08 (age_target - star_age)/age_sigma 267 130.8389650649 reducing max timestep prior to age target 267 8.5045327292203426D+08 (age_target - star_age)/age_sigma 268 128.2909183848 reducing max timestep prior to age target 268 8.3389096950147152D+08 (age_target - star_age)/age_sigma 269 125.7938326384 reducing max timestep prior to age target 269 8.1765991214931965D+08 270 7.183664 5707.244 -0.012909 -0.012909 1.000000 1.000000 0.409279 0.004804 0.244479 -1.546500 519 1 7.2016E+00 7.183664 0.003376 -43.319284 -1.644665 -99.000000 0.000000 0.572153 0.008175 0.016117 0.111261 10 3.7677E+09 2.133953 -0.012848 -15.954590 -99.000000 -6.904912 0.000000 0.000018 0.001885 0.018567 0.000E+00 max_dt rel_E_err 1.8657255448675236D-13 log_rel_run_E_err -10.4103288590095158 (age_target - star_age)/age_sigma 270 123.3466886068 reducing max timestep prior to age target 270 8.0175347594421101D+08 (age_target - star_age)/age_sigma 271 120.9484874559 reducing max timestep prior to age target 271 7.8616516846320486D+08 (age_target - star_age)/age_sigma 272 118.5982503280 reducing max timestep prior to age target 272 7.7088862713181829D+08 (age_target - star_age)/age_sigma 273 116.2950179426 reducing max timestep prior to age target 273 7.5591761662705946D+08 (age_target - star_age)/age_sigma 274 114.0378502050 reducing max timestep prior to age target 274 7.4124602633239651D+08 (age_target - star_age)/age_sigma 275 111.8258258221 reducing max timestep prior to age target 275 7.2686786784362602D+08 (age_target - star_age)/age_sigma 276 109.6580419269 reducing max timestep prior to age target 276 7.1277727252463150D+08 (age_target - star_age)/age_sigma 277 107.5336137095 reducing max timestep prior to age target 277 6.9896848911201668D+08 (age_target - star_age)/age_sigma 278 105.4516740566 reducing max timestep prior to age target 278 6.8543588136765432D+08 (age_target - star_age)/age_sigma 279 103.4113731966 reducing max timestep prior to age target 279 6.7217392577817869D+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 5 3.9103E+09 2.144243 -0.007777 -15.477469 -99.000000 -6.908681 0.000000 0.000018 0.001887 0.018578 0.000E+00 max_dt rel_E_err 1.9024656509325379D-13 log_rel_run_E_err -10.3902145415015212 (age_target - star_age)/age_sigma 280 101.4118783539 reducing max timestep prior to age target 280 6.5917720930049276D+08 (age_target - star_age)/age_sigma 281 99.4523734081 reducing max timestep prior to age target 281 6.4644042715236092D+08 (age_target - star_age)/age_sigma 282 97.5320585611 reducing max timestep prior to age target 282 6.3395838064719152D+08 (age_target - star_age)/age_sigma 283 95.6501500111 reducing max timestep prior to age target 283 6.2172597507212496D+08 (age_target - star_age)/age_sigma 284 93.8058796321 reducing max timestep prior to age target 284 6.0973821760856056D+08 (age_target - star_age)/age_sigma 285 91.9984946607 reducing max timestep prior to age target 285 5.9799021529426670D+08 (age_target - star_age)/age_sigma 286 90.2272573887 reducing max timestep prior to age target 286 5.8647717302625895D+08 (age_target - star_age)/age_sigma 287 88.4914448621 reducing max timestep prior to age target 287 5.7519439160361147D+08 (age_target - star_age)/age_sigma 289 85.0892523100 reducing max timestep prior to age target 289 5.5308014001522303D+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 -15.954590 -99.000000 -6.911786 0.000000 0.000018 0.001888 0.018587 0.000E+00 max_dt rel_E_err 1.8313381324505459D-13 log_rel_run_E_err -10.3708771519646845 (age_target - star_age)/age_sigma 290 83.4221779595 reducing max timestep prior to age target 290 5.4224415673691225D+08 (age_target - star_age)/age_sigma 291 81.7884450960 reducing max timestep prior to age target 291 5.3162489312416792D+08 (age_target - star_age)/age_sigma 292 80.1873868898 reducing max timestep prior to age target 292 5.2121801478367901D+08 (age_target - star_age)/age_sigma 293 78.6183498477 reducing max timestep prior to age target 293 5.1101927400999928D+08 (age_target - star_age)/age_sigma 294 77.0806935464 reducing max timestep prior to age target 294 5.0102450805179310D+08 (age_target - star_age)/age_sigma 295 75.5737903712 reducing max timestep prior to age target 295 4.9122963741275120D+08 (age_target - star_age)/age_sigma 296 74.0970252595 reducing max timestep prior to age target 296 4.8163066418649006D+08 (age_target - star_age)/age_sigma 297 72.6497954500 reducing max timestep prior to age target 297 4.7222367042475414D+08 (age_target - star_age)/age_sigma 298 71.2315102367 reducing max timestep prior to age target 298 4.6300481653825283D+08 (age_target - star_age)/age_sigma 299 69.8415907276 reducing max timestep prior to age target 299 4.5397033972948170D+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 1.9003243555312228D-13 log_rel_run_E_err -10.3527926011532099 (age_target - star_age)/age_sigma 300 68.4794696088 reducing max timestep prior to age target 300 4.4511655245688581D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.1445909123 reducing max timestep prior to age target 301 4.3643984092974234D+08 (age_target - star_age)/age_sigma 302 65.8364097897 reducing max timestep prior to age target 302 4.2793666363314104D+08 (age_target - star_age)/age_sigma 303 64.5543922896 reducing max timestep prior to age target 303 4.1960354988247204D+08 (age_target - star_age)/age_sigma 304 63.2980151395 reducing max timestep prior to age target 304 4.1143709840681696D+08 (age_target - star_age)/age_sigma 305 62.0667655324 reducing max timestep prior to age target 305 4.0343397596067429D+08 (age_target - star_age)/age_sigma 306 60.8601409175 reducing max timestep prior to age target 306 3.9559091596345472D+08 (age_target - star_age)/age_sigma 307 59.6776487948 reducing max timestep prior to age target 307 3.8790471716617966D+08 (age_target - star_age)/age_sigma 308 58.5188065146 reducing max timestep prior to age target 308 3.8037224234484959D+08 (age_target - star_age)/age_sigma 309 57.3831410800 reducing max timestep prior to age target 309 3.7299041701994610D+08 310 7.191667 5714.905 0.002747 0.002747 1.000000 1.000000 0.370689 0.004929 0.241539 -1.526578 520 1 6.8594E+00 7.191667 0.010036 -42.799868 -1.619052 -99.000000 0.000000 0.610713 0.008064 0.015941 0.116013 5 4.2037E+09 2.166025 0.002803 -99.000000 -99.000000 -6.916491 0.000000 0.000019 0.001890 0.018598 0.000E+00 max_dt rel_E_err 1.9037877092346062D-13 log_rel_run_E_err -10.3348343549888906 (age_target - star_age)/age_sigma 310 56.2701889541 reducing max timestep prior to age target 310 3.6575622820154142D+08 (age_target - star_age)/age_sigma 311 55.1794958707 reducing max timestep prior to age target 311 3.5866672315950394D+08 (age_target - star_age)/age_sigma 312 54.1106166490 reducing max timestep prior to age target 312 3.5171900821830797D+08 (age_target - star_age)/age_sigma 313 53.0631150117 reducing max timestep prior to age target 313 3.4491024757593584D+08 (age_target - star_age)/age_sigma 314 52.0365634071 reducing max timestep prior to age target 314 3.3823766214641094D+08 (age_target - star_age)/age_sigma 315 51.0305428347 reducing max timestep prior to age target 315 3.3169852842547655D+08 (age_target - star_age)/age_sigma 316 50.0446426737 reducing max timestep prior to age target 316 3.2529017737896109D+08 (age_target - star_age)/age_sigma 317 49.0784605159 reducing max timestep prior to age target 317 3.1900999335337591D+08 (age_target - star_age)/age_sigma 318 48.1316020013 reducing max timestep prior to age target 318 3.1285541300830221D+08 (age_target - star_age)/age_sigma 319 47.2036806569 reducing max timestep prior to age target 319 3.0682392427013016D+08 320 7.192902 5715.966 0.005111 0.005111 1.000000 1.000000 0.364873 0.004951 0.241115 -1.523513 520 1 6.7717E+00 7.192902 0.011057 -42.720704 -1.615045 -99.000000 0.000000 0.616525 0.008043 0.015916 0.116774 5 4.2686E+09 2.170953 0.005166 -15.653560 -99.000000 -6.918225 0.000000 0.000019 0.001891 0.018602 0.000E+00 max_dt rel_E_err 1.8163686587463566D-13 log_rel_run_E_err -10.3183334870918468 (age_target - star_age)/age_sigma 320 46.2943177395 reducing max timestep prior to age target 320 3.0091306530672121D+08 (age_target - star_age)/age_sigma 321 45.4031420804 reducing max timestep prior to age target 321 2.9512042352258062D+08 (age_target - star_age)/age_sigma 322 44.5297899345 reducing max timestep prior to age target 322 2.8944363457412291D+08 (age_target - star_age)/age_sigma 324 42.8180197285 reducing max timestep prior to age target 324 2.7831712823514557D+08 (age_target - star_age)/age_sigma 325 41.9792523275 reducing max timestep prior to age target 325 2.7286514012904644D+08 (age_target - star_age)/age_sigma 326 41.1572602746 reducing max timestep prior to age target 326 2.6752219178506947D+08 (age_target - star_age)/age_sigma 327 40.3517080628 reducing max timestep prior to age target 327 2.6228610240797234D+08 (age_target - star_age)/age_sigma 328 39.5622668951 reducing max timestep prior to age target 328 2.5715473481841755D+08 (age_target - star_age)/age_sigma 329 38.7886145509 reducing max timestep prior to age target 329 2.5212599458065319D+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 1.8603272576672001D-13 log_rel_run_E_err -10.3018699990034008 (age_target - star_age)/age_sigma 330 38.0304352535 reducing max timestep prior to age target 330 2.4719782914764404D+08 (age_target - star_age)/age_sigma 331 37.2874195420 reducing max timestep prior to age target 331 2.4236822702329540D+08 (age_target - star_age)/age_sigma 332 36.5592641448 reducing max timestep prior to age target 332 2.3763521694143391D+08 (age_target - star_age)/age_sigma 333 35.8456718556 reducing max timestep prior to age target 333 2.3299686706120968D+08 (age_target - star_age)/age_sigma 334 35.1463514121 reducing max timestep prior to age target 334 2.2845128417858887D+08 (age_target - star_age)/age_sigma 335 34.4610173775 reducing max timestep prior to age target 335 2.2399661295362091D+08 (age_target - star_age)/age_sigma 336 33.7893900236 reducing max timestep prior to age target 336 2.1963103515315247D+08 (age_target - star_age)/age_sigma 337 33.1311952167 reducing max timestep prior to age target 337 2.1535276890869331D+08 (age_target - star_age)/age_sigma 338 32.4861643060 reducing max timestep prior to age target 338 2.1116006798912430D+08 (age_target - star_age)/age_sigma 339 31.8540340135 reducing max timestep prior to age target 339 2.0705122108794594D+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 -99.000000 -99.000000 -6.920845 0.000000 0.000019 0.001892 0.018608 0.000E+00 max_dt rel_E_err 1.8197214036532282D-13 log_rel_run_E_err -10.2863226054113603 (age_target - star_age)/age_sigma 340 31.2345463269 reducing max timestep prior to age target 340 2.0302455112479115D+08 (age_target - star_age)/age_sigma 341 30.6274483940 reducing max timestep prior to age target 341 1.9907841456089973D+08 (age_target - star_age)/age_sigma 342 30.0324924197 reducing max timestep prior to age target 342 1.9521120072828579D+08 (age_target - star_age)/age_sigma 343 29.4494355650 reducing max timestep prior to age target 343 1.9142133117232418D+08 (age_target - star_age)/age_sigma 344 28.8780398473 reducing max timestep prior to age target 344 1.8770725900748158D+08 (age_target - star_age)/age_sigma 345 28.3180720440 reducing max timestep prior to age target 345 1.8406746828593636D+08 (age_target - star_age)/age_sigma 346 27.7693035967 reducing max timestep prior to age target 346 1.8050047337882137D+08 (age_target - star_age)/age_sigma 347 27.2315105184 reducing max timestep prior to age target 347 1.7700481836984921D+08 (age_target - star_age)/age_sigma 348 26.7044733017 reducing max timestep prior to age target 348 1.7357907646105576D+08 (age_target - star_age)/age_sigma 349 26.1879768293 reducing max timestep prior to age target 349 1.7022184939043903D+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 1.7580491653542584D-13 log_rel_run_E_err -10.2715348944845335 (age_target - star_age)/age_sigma 350 25.6818102863 reducing max timestep prior to age target 350 1.6693176686123466D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.1857670742 reducing max timestep prior to age target 351 1.6370748598261452D+08 (age_target - star_age)/age_sigma 352 24.6996447264 reducing max timestep prior to age target 352 1.6054769072156620D+08 (age_target - star_age)/age_sigma 353 24.2232448255 reducing max timestep prior to age target 353 1.5745109136573887D+08 (age_target - star_age)/age_sigma 354 23.7563729226 reducing max timestep prior to age target 354 1.5441642399702835D+08 (age_target - star_age)/age_sigma 355 23.2988384578 reducing max timestep prior to age target 355 1.5144244997569180D+08 (age_target - star_age)/age_sigma 356 22.8504546823 reducing max timestep prior to age target 356 1.4852795543478203D+08 (age_target - star_age)/age_sigma 358 21.9716224822 reducing max timestep prior to age target 358 1.4281554613459969D+08 (age_target - star_age)/age_sigma 359 21.5409947042 reducing max timestep prior to age target 359 1.4001646557750988D+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 1.7408743248175839D-13 log_rel_run_E_err -10.2567270591457191 (age_target - star_age)/age_sigma 360 21.1189794818 reducing max timestep prior to age target 360 1.3727336663156223D+08 (age_target - star_age)/age_sigma 361 20.7054045638 reducing max timestep prior to age target 361 1.3458512966453266D+08 (age_target - star_age)/age_sigma 362 20.3001011441 reducing max timestep prior to age target 362 1.3195065743684483D+08 (age_target - star_age)/age_sigma 363 19.9029037929 reducing max timestep prior to age target 363 1.2936887465370941D+08 (age_target - star_age)/age_sigma 364 19.5136503887 reducing max timestep prior to age target 364 1.2683872752623749D+08 (age_target - star_age)/age_sigma 365 19.1321820525 reducing max timestep prior to age target 365 1.2435918334131527D+08 (age_target - star_age)/age_sigma 366 18.7583430831 reducing max timestep prior to age target 366 1.2192923004009151D+08 (age_target - star_age)/age_sigma 367 18.3919808931 reducing max timestep prior to age target 367 1.1954787580489159D+08 (age_target - star_age)/age_sigma 368 18.0329459468 reducing max timestep prior to age target 368 1.1721414865439606D+08 (age_target - star_age)/age_sigma 369 17.6810916995 reducing max timestep prior to age target 369 1.1492709604691029D+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 1.7237481148021874D-13 log_rel_run_E_err -10.2427682740568162 (age_target - star_age)/age_sigma 370 17.3362745372 reducing max timestep prior to age target 370 1.1268578449157429D+08 (age_target - star_age)/age_sigma 371 16.9983537181 reducing max timestep prior to age target 371 1.1048929916734600D+08 (age_target - star_age)/age_sigma 372 16.6671913153 reducing max timestep prior to age target 372 1.0833674354960060D+08 (age_target - star_age)/age_sigma 373 16.3426521606 reducing max timestep prior to age target 373 1.0622723904421139D+08 (age_target - star_age)/age_sigma 374 16.0246037891 reducing max timestep prior to age target 374 1.0415992462892914D+08 (age_target - star_age)/age_sigma 375 15.7129163849 reducing max timestep prior to age target 375 1.0213395650195312D+08 (age_target - star_age)/age_sigma 376 15.4074627288 reducing max timestep prior to age target 376 1.0014850773751640D+08 (age_target - star_age)/age_sigma 377 15.1081181459 reducing max timestep prior to age target 377 9.8202767948368073D+07 (age_target - star_age)/age_sigma 378 14.8147604546 reducing max timestep prior to age target 378 9.6295942955002785D+07 (age_target - star_age)/age_sigma 379 14.5272699172 reducing max timestep prior to age target 379 9.4427254461504936D+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 1.6960896952206618D-13 log_rel_run_E_err -10.2292455069311519 (age_target - star_age)/age_sigma 380 14.2455291904 reducing max timestep prior to age target 380 9.2595939737877846D+07 (age_target - star_age)/age_sigma 381 13.9694232783 reducing max timestep prior to age target 381 9.0801251308722496D+07 (age_target - star_age)/age_sigma 382 13.6988394843 reducing max timestep prior to age target 382 8.9042456648150444D+07 (age_target - star_age)/age_sigma 383 13.4336673663 reducing max timestep prior to age target 383 8.7318837880789757D+07 (age_target - star_age)/age_sigma 384 13.1737986906 reducing max timestep prior to age target 384 8.5629691488776207D+07 (age_target - star_age)/age_sigma 385 12.9191273884 reducing max timestep prior to age target 385 8.3974328024602890D+07 (age_target - star_age)/age_sigma 386 12.6695495123 reducing max timestep prior to age target 386 8.2352071829712868D+07 (age_target - star_age)/age_sigma 387 12.4249631936 reducing max timestep prior to age target 387 8.0762260758721352D+07 (age_target - star_age)/age_sigma 388 12.1852686014 reducing max timestep prior to age target 388 7.9204245909149170D+07 (age_target - star_age)/age_sigma 389 11.9503679010 reducing max timestep prior to age target 389 7.7677391356568336D+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 2.0216147218728286D-13 log_rel_run_E_err -10.2158736082144070 (age_target - star_age)/age_sigma 390 11.7201652146 reducing max timestep prior to age target 390 7.6181073895038605D+07 (age_target - star_age)/age_sigma 391 11.4945665820 reducing max timestep prior to age target 391 7.4714682782740593D+07 (age_target - star_age)/age_sigma 392 11.2734799220 reducing max timestep prior to age target 392 7.3277619492688179D+07 (age_target - star_age)/age_sigma 394 10.8401500683 reducing max timestep prior to age target 394 7.0460975444185257D+07 (age_target - star_age)/age_sigma 395 10.6278184401 reducing max timestep prior to age target 395 6.9080819860418320D+07 (age_target - star_age)/age_sigma 396 10.4197334444 reducing max timestep prior to age target 396 6.7728267388327599D+07 (age_target - star_age)/age_sigma 397 10.2158101486 reducing max timestep prior to age target 397 6.6402765965678215D+07 (age_target - star_age)/age_sigma 398 10.0159653187 reducing max timestep prior to age target 398 6.5103774571482658D+07 (age_target - star_age)/age_sigma 399 9.8201173854 reducing max timestep prior to age target 399 6.3830763005169868D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.197544 5719.674 0.013878 0.013878 1.000000 1.000000 0.343310 0.005043 0.239578 -1.511964 519 1 6.0961E+00 7.197544 0.014875 -42.425221 -1.599850 -99.000000 0.000000 0.638076 0.007955 0.015823 0.119707 5 4.5069E+09 2.189460 0.013929 -15.653560 -99.000000 -6.924621 0.000000 0.000020 0.001894 0.018614 0.000E+00 max_dt rel_E_err 1.9622776926716311D-13 log_rel_run_E_err -10.2028679193213971 (age_target - star_age)/age_sigma 400 9.6281864108 reducing max timestep prior to age target 400 6.2583211670184135D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4400940557 reducing max timestep prior to age target 401 6.1360611361897469D+07 (age_target - star_age)/age_sigma 402 9.2557635477 reducing max timestep prior to age target 402 6.0162463059776306D+07 (age_target - star_age)/age_sigma 403 9.0751196498 reducing max timestep prior to age target 403 5.8988277723697662D+07 (age_target - star_age)/age_sigma 404 8.8980886299 reducing max timestep prior to age target 404 5.7837576094341278D+07 (age_target - star_age)/age_sigma 405 8.7245982304 reducing max timestep prior to age target 405 5.6709888497571945D+07 (age_target - star_age)/age_sigma 406 8.5545776389 reducing max timestep prior to age target 406 5.5604754652737617D+07 (age_target - star_age)/age_sigma 407 8.3879574592 reducing max timestep prior to age target 407 5.4521723484799385D+07 (age_target - star_age)/age_sigma 408 8.2246696831 reducing max timestep prior to age target 408 5.3460352940220833D+07 (age_target - star_age)/age_sigma 409 8.0646476625 reducing max timestep prior to age target 409 5.2420209806533813D+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 5 4.5181E+09 2.190344 0.014343 -15.653560 -99.000000 -6.924922 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt rel_E_err 1.8797119269334857D-13 log_rel_run_E_err -10.1903237757376104 (age_target - star_age)/age_sigma 410 7.9078260824 reducing max timestep prior to age target 410 5.1400869535520554D+07 (age_target - star_age)/age_sigma 411 7.7541409338 reducing max timestep prior to age target 411 5.0401916069927216D+07 (age_target - star_age)/age_sigma 412 7.6035294883 reducing max timestep prior to age target 412 4.9422941673645973D+07 (age_target - star_age)/age_sigma 413 7.4559302716 reducing max timestep prior to age target 413 4.8463546765290260D+07 (age_target - star_age)/age_sigma 414 7.3112830392 reducing max timestep prior to age target 414 4.7523339755102158D+07 (age_target - star_age)/age_sigma 415 7.1695287516 reducing max timestep prior to age target 415 4.6601936885117531D+07 (age_target - star_age)/age_sigma 416 7.0306095496 reducing max timestep prior to age target 416 4.5698962072532654D+07 (age_target - star_age)/age_sigma 417 6.8944687317 reducing max timestep prior to age target 417 4.4814046756199837D+07 (age_target - star_age)/age_sigma 418 6.7610507302 reducing max timestep prior to age target 418 4.3946829746192932D+07 (age_target - star_age)/age_sigma 419 6.6303010887 reducing max timestep prior to age target 419 4.3096957076386452D+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 1.7866008765048068D-13 log_rel_run_E_err -10.1778728942339143 (age_target - star_age)/age_sigma 420 6.5021664400 reducing max timestep prior to age target 420 4.2264081859975815D+07 (age_target - star_age)/age_sigma 421 6.3765944843 reducing max timestep prior to age target 421 4.1447864147893906D+07 (age_target - star_age)/age_sigma 422 6.2535339677 reducing max timestep prior to age target 422 4.0647970790053368D+07 (age_target - star_age)/age_sigma 423 6.1329346614 reducing max timestep prior to age target 423 3.9864075299368858D+07 (age_target - star_age)/age_sigma 424 6.0147473413 reducing max timestep prior to age target 424 3.9095857718499184D+07 (age_target - star_age)/age_sigma 425 5.8989237676 reducing max timestep prior to age target 425 3.8343004489246368D+07 (age_target - star_age)/age_sigma 426 5.7854166653 reducing max timestep prior to age target 426 3.7605208324579239D+07 (age_target - star_age)/age_sigma 428 5.5629427449 reducing max timestep prior to age target 428 3.6159127841830254D+07 (age_target - star_age)/age_sigma 429 5.4539305239 reducing max timestep prior to age target 429 3.5450548405282974D+07 430 7.198097 5720.086 0.014910 0.014910 1.000000 1.000000 0.340773 0.005055 0.239401 -1.510583 519 1 5.8416E+00 7.198097 0.015328 -42.390238 -1.598026 -99.000000 0.000000 0.640612 0.007943 0.015813 0.120064 3 4.5347E+09 2.191663 0.014960 -15.176439 -99.000000 -6.925370 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.8161372465015253D-13 log_rel_run_E_err -10.1659429268590866 (age_target - star_age)/age_sigma 430 5.3470985473 reducing max timestep prior to age target 430 3.4756140557466507D+07 (age_target - star_age)/age_sigma 431 5.2424032102 reducing max timestep prior to age target 431 3.4075620866607666D+07 (age_target - star_age)/age_sigma 432 5.1398017799 reducing max timestep prior to age target 432 3.3408711569564819D+07 (age_target - star_age)/age_sigma 433 5.0392523782 reducing max timestep prior to age target 433 3.2755140458463669D+07 (age_target - star_age)/age_sigma 434 4.9404435081 reducing max timestep prior to age target 434 3.2112882802414894D+07 (age_target - star_age)/age_sigma 435 4.8416346379 reducing max timestep prior to age target 435 3.1470625146366119D+07 (age_target - star_age)/age_sigma 436 4.7428257677 remaining steps and years until age target 436 48 3.0828367490318298D+07 (age_target - star_age)/age_sigma 437 4.6440168976 reducing max timestep prior to age target 437 3.0186109834269524D+07 (age_target - star_age)/age_sigma 438 4.5452080274 remaining steps and years until age target 438 46 2.9543852178221703D+07 (age_target - star_age)/age_sigma 439 4.4463991573 reducing max timestep prior to age target 439 2.8901594522172928D+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 1.8985349483931270D-13 log_rel_run_E_err -10.1543647098063623 (age_target - star_age)/age_sigma 440 4.3475902871 remaining steps and years until age target 440 44 2.8259336866125107D+07 (age_target - star_age)/age_sigma 441 4.2487814169 reducing max timestep prior to age target 441 2.7617079210076332D+07 (age_target - star_age)/age_sigma 442 4.1499725468 reducing max timestep prior to age target 442 2.6974821554027557D+07 (age_target - star_age)/age_sigma 443 4.0511636766 remaining steps and years until age target 443 41 2.6332563897979736D+07 (age_target - star_age)/age_sigma 444 3.9523548065 reducing max timestep prior to age target 444 2.5690306241930962D+07 (age_target - star_age)/age_sigma 445 3.8535459363 remaining steps and years until age target 445 39 2.5048048585883141D+07 (age_target - star_age)/age_sigma 446 3.7547370661 reducing max timestep prior to age target 446 2.4405790929834366D+07 (age_target - star_age)/age_sigma 447 3.6559281960 remaining steps and years until age target 447 37 2.3763533273786545D+07 (age_target - star_age)/age_sigma 448 3.5571193258 reducing max timestep prior to age target 448 2.3121275617737770D+07 (age_target - star_age)/age_sigma 449 3.4583104556 reducing max timestep prior to age target 449 2.2479017961688995D+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 -15.653560 -99.000000 -6.925718 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.9175048849511087D-13 log_rel_run_E_err -10.1433072756922584 (age_target - star_age)/age_sigma 450 3.3595015855 remaining steps and years until age target 450 34 2.1836760305641174D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2606927153 reducing max timestep prior to age target 451 2.1194502649592400D+07 (age_target - star_age)/age_sigma 452 3.1618838452 remaining steps and years until age target 452 32 2.0552244993544579D+07 (age_target - star_age)/age_sigma 453 3.0630749750 reducing max timestep prior to age target 453 1.9909987337495804D+07 (age_target - star_age)/age_sigma 454 2.9642661048 remaining steps and years until age target 454 30 1.9267729681447983D+07 (age_target - star_age)/age_sigma 455 2.8654572347 reducing max timestep prior to age target 455 1.8625472025399208D+07 (age_target - star_age)/age_sigma 456 2.7666483645 reducing max timestep prior to age target 456 1.7983214369350433D+07 (age_target - star_age)/age_sigma 457 2.6678394944 remaining steps and years until age target 457 27 1.7340956713302612D+07 (age_target - star_age)/age_sigma 458 2.5690306242 reducing max timestep prior to age target 458 1.6698699057253838D+07 (age_target - star_age)/age_sigma 459 2.4702217540 remaining steps and years until age target 459 25 1.6056441401206017D+07 460 7.198483 5720.372 0.015629 0.015629 1.000000 1.000000 0.339006 0.005064 0.239278 -1.509619 519 1 5.8077E+00 7.198483 0.015644 -42.365859 -1.596751 -99.000000 0.000000 0.642377 0.007935 0.015805 0.120315 3 4.5541E+09 2.193200 0.015678 -99.000000 -99.000000 -6.925891 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.6785591558315725D-13 log_rel_run_E_err -10.1325138009812363 (age_target - star_age)/age_sigma 460 2.3714128839 reducing max timestep prior to age target 460 1.5414183745157242D+07 (age_target - star_age)/age_sigma 461 2.2726040137 reducing max timestep prior to age target 461 1.4771926089108467D+07 (age_target - star_age)/age_sigma 462 2.1737951435 remaining steps and years until age target 462 22 1.4129668433060646D+07 (age_target - star_age)/age_sigma 463 2.0749862734 reducing max timestep prior to age target 463 1.3487410777011871D+07 (age_target - star_age)/age_sigma 464 1.9761774032 remaining steps and years until age target 464 20 1.2845153120964050D+07 (age_target - star_age)/age_sigma 465 1.8773685331 reducing max timestep prior to age target 465 1.2202895464915276D+07 (age_target - star_age)/age_sigma 466 1.7785596629 remaining steps and years until age target 466 18 1.1560637808867455D+07 (age_target - star_age)/age_sigma 467 1.6797507927 reducing max timestep prior to age target 467 1.0918380152818680D+07 (age_target - star_age)/age_sigma 468 1.5809419226 reducing max timestep prior to age target 468 1.0276122496769905D+07 (age_target - star_age)/age_sigma 469 1.4821330524 remaining steps and years until age target 469 15 9.6338648407220840D+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 -15.653560 -99.000000 -6.926064 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.8455141263347553D-13 log_rel_run_E_err -10.1219741733915463 (age_target - star_age)/age_sigma 470 1.3833241823 reducing max timestep prior to age target 470 8.9916071846733093D+06 (age_target - star_age)/age_sigma 471 1.2845153121 remaining steps and years until age target 471 13 8.3493495286254883D+06 (age_target - star_age)/age_sigma 472 1.1857064419 remaining steps and years until age target 472 12 7.7070918725776672D+06 (age_target - star_age)/age_sigma 473 1.0868975718 remaining steps and years until age target 473 11 7.0648342165298462D+06 (age_target - star_age)/age_sigma 474 0.9880887016 reducing max timestep prior to age target 474 6.4225765604810715D+06 (age_target - star_age)/age_sigma 475 0.8892798315 remaining steps and years until age target 475 9 5.7803189044332504D+06 (age_target - star_age)/age_sigma 476 0.7904709613 reducing max timestep prior to age target 476 5.1380612483844757D+06 (age_target - star_age)/age_sigma 477 0.6916620911 remaining steps and years until age target 477 7 4.4958035923366547D+06 (age_target - star_age)/age_sigma 478 0.5928532210 remaining steps and years until age target 478 6 3.8535459362888336D+06 (age_target - star_age)/age_sigma 479 0.4940443508 remaining steps and years until age target 479 5 3.2112882802410126D+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 -99.000000 -99.000000 -6.926238 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.7017118229710256D-13 log_rel_run_E_err -10.1115946373507608 (age_target - star_age)/age_sigma 480 0.3952354806 reducing max timestep prior to age target 480 2.5690306241922379D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2964266105 remaining steps and years until age target 481 3 1.9267729681444168D+06 (age_target - star_age)/age_sigma 482 0.1976177403 remaining steps and years until age target 482 2 1.2845153120965958D+06 (age_target - star_age)/age_sigma 483 0.0988088702 remaining steps and years until age target 483 1 6.4225765604877472D+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 3.04 1 484 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 484 7.198791 5720.598 0.016202 0.016202 1.000000 1.000000 0.337598 0.005070 0.239180 -1.508848 519 1 5.8077E+00 7.198791 0.015896 -42.346396 -1.595732 -99.000000 0.000000 0.643786 0.007928 0.015799 0.120516 3 4.5695E+09 2.194428 0.016251 -99.000000 -99.000000 -6.926307 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.9003983154575056D-13 log_rel_run_E_err -10.1074848885498092 Teff 5720.5979558238 radius 1.0372797593 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1389.7804563597 M_H -0.0339365458 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 1151.6891397590 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 334180.4898653729 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 "8f7f3a3" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251201" "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 3.3333875998556666E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615165515E+03 1.0010042019477079E+00 3.9078811584153271E-03 4.3590053513541853E-04 1.4131272100393792E+02 3.1134409185990198E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998556666E+05 0 0 0 0 0 0 0 4 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 1 3.3351283960191236E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383766992E+03 1.0231407131234238E+00 -1.7395981939735516E-03 9.9353665865795134E-03 1.3680762272705050E+02 2.9640776267829306E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191236E+05 0 0 0 0 0 0 0 3 3.3365606602482504E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368751E+03 1.0099970103007712E+00 2.9466215561576154E-02 4.3200882264055936E-03 1.3947582155333157E+02 3.0536692076803915E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482504E+05 0 0 0 0 0 0 0 6 3.3418048986537295E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558238414E+03 1.0372797593388121E+00 -3.3936545784139877E-02 1.5895903497377413E-02 1.3402431816161439E+02 2.8735532959069042E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986537295E+05 0 0 0 0 0 0 0 2 3.3468070564325486E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272648E+03 1.0622782375814108E+00 -1.2788199776276491E-02 2.6238284372325182E-02 1.2938435093833905E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325486E+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 -28.597850 -99.000000 -7.688853 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954493 4395.006 -12.856149 -12.856149 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1 -5.0000E+00 5.954373 0.953466 -99.000000 -14.254015 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 2 3.9000E-04 -1.867395 1.433464 -99.000000 -99.000000 -7.673886 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954493 4365.734 -12.856150 -12.856150 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1 -5.0000E+00 5.954373 0.953404 -99.000000 -14.254016 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 2 4.9000E-04 -1.867394 1.421732 -99.000000 -99.000000 -7.662920 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954494 4209.890 -12.856154 -12.856154 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395712 404 0 -2.2907E+00 5.954375 0.952872 -99.000000 -14.254020 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 1.0230E-02 -1.867393 1.357521 -99.000000 -99.000000 -7.592268 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 4.1079076238020956D-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 2.0551263468036859D-01 30 5.998587 4232.305 -12.245106 -12.245106 1.000000 1.000000 0.700000 0.001010 0.279998 -6.254381 400 0 3.5106E+00 5.998587 0.907991 -99.000000 -13.642971 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071090 3 8.2653E+03 -1.739804 1.276983 -99.000000 -99.000000 -7.548787 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128502084551243D-08 40 6.176890 4345.309 -9.876653 -9.876653 1.000000 1.000000 0.700000 0.001010 0.279974 -5.636384 415 0 4.0834E+00 6.176890 0.723486 -99.000000 -11.274513 -99.000000 0.000000 0.280000 0.009381 0.019979 0.071111 3 8.3688E+04 -1.204496 0.953749 -99.000000 -99.000000 -7.376680 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128502084551243D-08 50 6.354381 4407.728 -7.760152 -7.760152 1.000000 1.000000 0.700000 0.001010 0.279846 -5.021288 433 0 4.5919E+00 6.354381 0.541601 -99.000000 -9.157996 -99.000000 0.000000 0.280000 0.009381 0.019875 0.071124 3 3.2732E+05 -0.671785 0.614754 -99.000000 -99.000000 -7.180197 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128502528640453D-08 60 6.528261 4414.469 -5.889952 -5.889952 1.000000 1.000000 0.700000 0.001010 0.279599 -4.418069 444 0 5.1085E+00 6.528261 0.364555 -99.000000 -7.287755 -99.000000 0.000000 0.280000 0.009381 0.019715 0.071140 3 1.1232E+06 -0.149864 0.263317 -99.000000 -99.000000 -6.942595 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128502528640453D-08 finished relax to begin radiative core 65 4.6175002345647358D-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 2.7040221543998393D-13 log_rel_run_E_err -11.5846419599254435 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 -99.000000 -99.000000 -6.898925 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6024993002883013D-13 log_rel_run_E_err -11.2844762647355665 30 6.603639 4272.706 -5.093770 -5.093770 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -2.7037E+00 6.603639 0.282503 -99.000000 -6.491531 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 5 1.1819E-02 0.094910 0.042512 -99.000000 -99.000000 -6.899678 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6805937986538328D-13 log_rel_run_E_err -11.1063384793738535 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 -20.771070 -99.000000 -6.899436 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5439283941467680D-13 log_rel_run_E_err -10.9835279006803876 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 -20.293948 -99.000000 -6.898716 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6727841587864859D-13 log_rel_run_E_err -10.8857241226117001 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 2.4736422569039696D-13 log_rel_run_E_err -10.8073388821210941 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 -99.000000 -99.000000 -6.898550 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7059669672774129D-13 log_rel_run_E_err -10.7398198438716470 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 -99.000000 -99.000000 -6.898540 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5497414657375146D-13 log_rel_run_E_err -10.6818568938905365 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 -99.000000 -99.000000 -6.898480 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7154459176934692D-13 log_rel_run_E_err -10.6312394647164101 __________________________________________________________________________________________________________________________________________________ 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 2.7646682639409657D-13 log_rel_run_E_err -10.5849097059015786 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 2.5180358782277416D-13 log_rel_run_E_err -10.5454591729981164 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 -99.000000 -99.000000 -6.881990 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7724029055206690D-13 log_rel_run_E_err -10.4561599917355359 130 6.647753 4225.090 -4.593909 -4.593909 1.000000 1.000000 0.711274 0.000946 0.270000 -3.862795 456 0 5.2144E+00 6.647753 0.229805 -99.000000 -5.991631 -99.000000 0.000000 0.270000 0.008783 0.018726 0.073748 4 9.8295E+05 0.266359 -0.082353 -99.000000 -99.000000 -6.812456 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5621780705475630D-13 log_rel_run_E_err -10.2157049565565234 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 2.4230128403925845D-13 log_rel_run_E_err -10.3178573787275099 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 -17.584678 -99.000000 -6.683620 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.1513107487693593D-13 log_rel_run_E_err -10.4283662268282491 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 -99.000000 -99.000000 -6.831622 0.000000 0.003224 0.001952 0.018728 0.000E+00 lgRho_cntr rel_E_err 1.6888992381858074D-13 log_rel_run_E_err -10.5658351905466095 (age_target - star_age)/age_sigma 169 694.5561817836 reducing max timestep prior to age target 169 4.5146151815931053D+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 1.6960727864493332D-13 log_rel_run_E_err -10.6113755980426223 (age_target - star_age)/age_sigma 176 680.3396089003 reducing max timestep prior to age target 176 4.4222074578520670D+09 (age_target - star_age)/age_sigma 179 665.9833853151 reducing max timestep prior to age target 179 4.3288920045481901D+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 -15.954590 -99.000000 -6.812086 0.000000 0.000014 0.001956 0.019297 0.000E+00 max increase rel_E_err 1.9198832452467512D-13 log_rel_run_E_err -10.5809005953688171 (age_target - star_age)/age_sigma 181 650.9898085070 reducing max timestep prior to age target 181 4.2314337552954378D+09 (age_target - star_age)/age_sigma 183 629.3990579033 reducing max timestep prior to age target 183 4.0910938763714752D+09 (age_target - star_age)/age_sigma 184 617.0801140456 reducing max timestep prior to age target 184 4.0110207412964954D+09 (age_target - star_age)/age_sigma 185 605.0075490651 reducing max timestep prior to age target 185 3.9325490689230156D+09 (age_target - star_age)/age_sigma 186 593.1764353842 reducing max timestep prior to age target 186 3.8556468299970050D+09 (age_target - star_age)/age_sigma 187 581.5819439768 reducing max timestep prior to age target 187 3.7802826358495150D+09 (age_target - star_age)/age_sigma 188 570.2193423977 reducing max timestep prior to age target 188 3.7064257255849743D+09 (age_target - star_age)/age_sigma 189 559.0839928501 reducing max timestep prior to age target 189 3.6340459535257249D+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 -15.653560 -99.000000 -6.825176 0.000000 0.000014 0.001966 0.019398 0.000E+00 max_dt rel_E_err 1.8569509645466904D-13 log_rel_run_E_err -10.5524337521350411 (age_target - star_age)/age_sigma 190 548.1713502935 reducing max timestep prior to age target 190 3.5631137769076605D+09 (age_target - star_age)/age_sigma 191 537.4769605880 reducing max timestep prior to age target 191 3.4936002438219571D+09 (age_target - star_age)/age_sigma 192 526.9964586766 reducing max timestep prior to age target 192 3.4254769813979678D+09 (age_target - star_age)/age_sigma 193 516.7255668035 reducing max timestep prior to age target 193 3.3587161842224588D+09 (age_target - star_age)/age_sigma 194 506.6600927678 reducing max timestep prior to age target 194 3.2932906029904594D+09 (age_target - star_age)/age_sigma 195 496.7959282128 reducing max timestep prior to age target 195 3.2291735333831000D+09 (age_target - star_age)/age_sigma 196 487.1290469489 reducing max timestep prior to age target 196 3.1663388051678882D+09 (age_target - star_age)/age_sigma 197 477.6555033103 reducing max timestep prior to age target 197 3.1047607715169802D+09 (age_target - star_age)/age_sigma 198 468.3714305445 reducing max timestep prior to age target 198 3.0444142985390906D+09 (age_target - star_age)/age_sigma 199 459.2730392340 reducing max timestep prior to age target 199 2.9852747550207586D+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 1.7619348718509927D-13 log_rel_run_E_err -10.5256272911188340 (age_target - star_age)/age_sigma 200 450.3566157497 reducing max timestep prior to age target 200 2.9273180023727937D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.6185207350 reducing max timestep prior to age target 201 2.8705203847777877D+09 (age_target - star_age)/age_sigma 202 433.0551876207 reducing max timestep prior to age target 202 2.8148587195346823D+09 (age_target - star_age)/age_sigma 203 424.6631211687 reducing max timestep prior to age target 203 2.7603102875964384D+09 (age_target - star_age)/age_sigma 204 416.4388960457 reducing max timestep prior to age target 204 2.7068528242969594D+09 (age_target - star_age)/age_sigma 205 408.3791554251 reducing max timestep prior to age target 205 2.6544645102634702D+09 (age_target - star_age)/age_sigma 206 400.4806096170 reducing max timestep prior to age target 206 2.6031239625106506D+09 (age_target - star_age)/age_sigma 207 392.7400347251 reducing max timestep prior to age target 207 2.5528102257128878D+09 (age_target - star_age)/age_sigma 208 385.1542713309 reducing max timestep prior to age target 208 2.5035027636510801D+09 (age_target - star_age)/age_sigma 209 377.7202232047 reducing max timestep prior to age target 209 2.4551814508305082D+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 -15.477469 -99.000000 -6.847136 0.000000 0.000016 0.001981 0.019551 0.000E+00 max_dt rel_E_err 1.7482644693578757D-13 log_rel_run_E_err -10.5002619133553932 (age_target - star_age)/age_sigma 210 370.4348560410 reducing max timestep prior to age target 210 2.4078265642663479D+09 (age_target - star_age)/age_sigma 211 363.2951962205 reducing max timestep prior to age target 211 2.3614187754334712D+09 (age_target - star_age)/age_sigma 212 356.2983295965 reducing max timestep prior to age target 212 2.3159391423772516D+09 (age_target - star_age)/age_sigma 213 349.4414003049 reducing max timestep prior to age target 213 2.2713691019821563D+09 (age_target - star_age)/age_sigma 215 336.0018188935 reducing max timestep prior to age target 215 2.1840118228077703D+09 (age_target - star_age)/age_sigma 216 329.4164240019 reducing max timestep prior to age target 216 2.1412067560123215D+09 (age_target - star_age)/age_sigma 217 322.9627370081 reducing max timestep prior to age target 217 2.0992577905527811D+09 (age_target - star_age)/age_sigma 218 316.6381237542 reducing max timestep prior to age target 218 2.0581478044024315D+09 (age_target - star_age)/age_sigma 219 310.4400027654 reducing max timestep prior to age target 219 2.0178600179750891D+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 2.0433571214541368D-13 log_rel_run_E_err -10.4754310997393389 (age_target - star_age)/age_sigma 220 304.3658441964 reducing max timestep prior to age target 220 1.9783779872762933D+09 (age_target - star_age)/age_sigma 221 298.4131687987 reducing max timestep prior to age target 221 1.9396855971914735D+09 (age_target - star_age)/age_sigma 222 292.5795469090 reducing max timestep prior to age target 222 1.9017670549083505D+09 (age_target - star_age)/age_sigma 223 286.8625974571 reducing max timestep prior to age target 223 1.8646068834708896D+09 (age_target - star_age)/age_sigma 224 281.2599869942 reducing max timestep prior to age target 224 1.8281899154621782D+09 (age_target - star_age)/age_sigma 225 275.7694287406 reducing max timestep prior to age target 225 1.7925012868136406D+09 (age_target - star_age)/age_sigma 226 270.3886816520 reducing max timestep prior to age target 226 1.7575264307380738D+09 (age_target - star_age)/age_sigma 227 265.1155495052 reducing max timestep prior to age target 227 1.7232510717840185D+09 (age_target - star_age)/age_sigma 228 259.9478800014 reducing max timestep prior to age target 228 1.6896612200090446D+09 (age_target - star_age)/age_sigma 229 254.8835638876 reducing max timestep prior to age target 229 1.6567431652695699D+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 2.0307121505200101D-13 log_rel_run_E_err -10.4520315699436850 (age_target - star_age)/age_sigma 230 249.9205340961 reducing max timestep prior to age target 230 1.6244834716248846D+09 (age_target - star_age)/age_sigma 231 245.0567649005 reducing max timestep prior to age target 231 1.5928689718530931D+09 (age_target - star_age)/age_sigma 232 240.2902710887 reducing max timestep prior to age target 232 1.5618867620767374D+09 (age_target - star_age)/age_sigma 233 235.6191071532 reducing max timestep prior to age target 233 1.5315241964959087D+09 (age_target - star_age)/age_sigma 234 231.0413664964 reducing max timestep prior to age target 234 1.5017688822266970D+09 (age_target - star_age)/age_sigma 235 226.5551806527 reducing max timestep prior to age target 235 1.4726086742428694D+09 (age_target - star_age)/age_sigma 236 222.1587185260 reducing max timestep prior to age target 236 1.4440316704187179D+09 (age_target - star_age)/age_sigma 237 217.8501856417 reducing max timestep prior to age target 237 1.4160262066710496D+09 (age_target - star_age)/age_sigma 238 213.6278234151 reducing max timestep prior to age target 238 1.3885808521983352D+09 (age_target - star_age)/age_sigma 239 209.4899084331 reducing max timestep prior to age target 239 1.3616844048150744D+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 1.7485296963373276D-13 log_rel_run_E_err -10.4304027216792878 (age_target - star_age)/age_sigma 240 205.4347517507 reducing max timestep prior to age target 240 1.3353258863794794D+09 (age_target - star_age)/age_sigma 241 201.4606982019 reducing max timestep prior to age target 241 1.3094945383125958D+09 (age_target - star_age)/age_sigma 242 197.5661257242 reducing max timestep prior to age target 242 1.2841798172070498D+09 (age_target - star_age)/age_sigma 243 193.7494446959 reducing max timestep prior to age target 243 1.2593713905236149D+09 (age_target - star_age)/age_sigma 244 190.0090972883 reducing max timestep prior to age target 244 1.2350591323738489D+09 (age_target - star_age)/age_sigma 245 186.3435568288 reducing max timestep prior to age target 245 1.2112331193870783D+09 (age_target - star_age)/age_sigma 246 182.7513271785 reducing max timestep prior to age target 246 1.1878836266600432D+09 (age_target - star_age)/age_sigma 247 179.2309421212 reducing max timestep prior to age target 247 1.1650011237875485D+09 (age_target - star_age)/age_sigma 248 175.7809647650 reducing max timestep prior to age target 248 1.1425762709725032D+09 (age_target - star_age)/age_sigma 249 172.3999869560 reducing max timestep prior to age target 249 1.1205999152137594D+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 1.8726659789840053D-13 log_rel_run_E_err -10.4091366471797535 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 165.7732704502 reducing max timestep prior to age target 251 1.0775262579266214D+09 (age_target - star_age)/age_sigma 252 162.5261793624 reducing max timestep prior to age target 252 1.0564201658559241D+09 (age_target - star_age)/age_sigma 253 159.3440300964 reducing max timestep prior to age target 253 1.0357361956266403D+09 (age_target - star_age)/age_sigma 254 156.2255238157 reducing max timestep prior to age target 254 1.0154659048019423D+09 (age_target - star_age)/age_sigma 255 153.1693876606 reducing max timestep prior to age target 255 9.9560101979373837D+08 (age_target - star_age)/age_sigma 256 150.1743742286 reducing max timestep prior to age target 256 9.7613343248569822D+08 (age_target - star_age)/age_sigma 257 147.2392610652 reducing max timestep prior to age target 257 9.5705519692381907D+08 (age_target - star_age)/age_sigma 258 144.3628501651 reducing max timestep prior to age target 258 9.3835852607317781D+08 (age_target - star_age)/age_sigma 259 141.5439674830 reducing max timestep prior to age target 259 9.2003578863954878D+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 1.9541362898066439D-13 log_rel_run_E_err -10.3885320181123717 (age_target - star_age)/age_sigma 260 138.7814624546 reducing max timestep prior to age target 260 9.0207950595459270D+08 (age_target - star_age)/age_sigma 261 136.0742075267 reducing max timestep prior to age target 261 8.8448234892333555D+08 (age_target - star_age)/age_sigma 262 133.4210976973 reducing max timestep prior to age target 262 8.6723713503270340D+08 (age_target - star_age)/age_sigma 263 130.8210500646 reducing max timestep prior to age target 263 8.5033682541988420D+08 (age_target - star_age)/age_sigma 264 128.2730033845 reducing max timestep prior to age target 264 8.3377452199932146D+08 (age_target - star_age)/age_sigma 265 125.7759176380 reducing max timestep prior to age target 265 8.1754346464717007D+08 (age_target - star_age)/age_sigma 266 123.3287736065 reducing max timestep prior to age target 266 8.0163702844206142D+08 (age_target - star_age)/age_sigma 267 120.9305724555 reducing max timestep prior to age target 267 7.8604872096105528D+08 (age_target - star_age)/age_sigma 268 118.5803353276 reducing max timestep prior to age target 268 7.7077217962966871D+08 (age_target - star_age)/age_sigma 269 116.2771029423 reducing max timestep prior to age target 269 7.5580116912490988D+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 1.7685402739226083D-13 log_rel_run_E_err -10.3696315735260711 (age_target - star_age)/age_sigma 270 114.0199352047 reducing max timestep prior to age target 270 7.4112957883024645D+08 (age_target - star_age)/age_sigma 271 111.8079108218 reducing max timestep prior to age target 271 7.2675142034147644D+08 (age_target - star_age)/age_sigma 272 109.6401269265 reducing max timestep prior to age target 272 7.1266082502248192D+08 (age_target - star_age)/age_sigma 273 107.5156987092 reducing max timestep prior to age target 273 6.9885204160986710D+08 (age_target - star_age)/age_sigma 274 105.4337590562 reducing max timestep prior to age target 274 6.8531943386550474D+08 (age_target - star_age)/age_sigma 275 103.3934581963 reducing max timestep prior to age target 275 6.7205747827602911D+08 (age_target - star_age)/age_sigma 276 101.3939633536 reducing max timestep prior to age target 276 6.5906076179834318D+08 (age_target - star_age)/age_sigma 277 99.4344584077 reducing max timestep prior to age target 277 6.4632397965021133D+08 (age_target - star_age)/age_sigma 278 97.5141435608 reducing max timestep prior to age target 278 6.3384193314504147D+08 (age_target - star_age)/age_sigma 279 95.6322350108 reducing max timestep prior to age target 279 6.2160952756997585D+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 10 3.9599E+09 2.130852 -0.031459 -15.954590 -99.000000 -6.885506 0.000000 0.000019 0.002005 0.019751 0.000E+00 max_dt rel_E_err 1.8164580582253517D-13 log_rel_run_E_err -10.3517331645013204 (age_target - star_age)/age_sigma 280 93.7879646318 reducing max timestep prior to age target 280 6.0962177010641098D+08 (age_target - star_age)/age_sigma 281 91.9805796603 reducing max timestep prior to age target 281 5.9787376779211760D+08 (age_target - star_age)/age_sigma 282 90.2093423883 reducing max timestep prior to age target 282 5.8636072552410984D+08 (age_target - star_age)/age_sigma 283 88.4735298618 reducing max timestep prior to age target 283 5.7507794410146236D+08 (age_target - star_age)/age_sigma 285 85.0713373097 reducing max timestep prior to age target 285 5.5296369251307392D+08 (age_target - star_age)/age_sigma 286 83.4042629592 reducing max timestep prior to age target 286 5.4212770923476315D+08 (age_target - star_age)/age_sigma 287 81.7705300957 reducing max timestep prior to age target 287 5.3150844562201881D+08 (age_target - star_age)/age_sigma 288 80.1694718895 reducing max timestep prior to age target 288 5.2110156728152943D+08 (age_target - star_age)/age_sigma 289 78.6004348474 reducing max timestep prior to age target 289 5.1090282650785017D+08 290 7.183295 5601.498 -0.027790 -0.027790 1.000000 1.000000 0.397102 0.005113 0.242614 -1.543411 517 0 6.9998E+00 7.183295 0.012180 -43.306879 -1.658400 -99.000000 0.000000 0.583137 0.008699 0.017000 0.113212 5 4.0686E+09 2.138393 -0.027729 -99.000000 -99.000000 -6.887990 0.000000 0.000019 0.002006 0.019760 0.000E+00 max_dt rel_E_err 1.7897961292571043D-13 log_rel_run_E_err -10.3343586408011738 (age_target - star_age)/age_sigma 290 77.0627785461 reducing max timestep prior to age target 290 5.0090806054964399D+08 (age_target - star_age)/age_sigma 291 75.5558753709 reducing max timestep prior to age target 291 4.9111318991060209D+08 (age_target - star_age)/age_sigma 292 74.0791102591 reducing max timestep prior to age target 292 4.8151421668434095D+08 (age_target - star_age)/age_sigma 293 72.6318804496 reducing max timestep prior to age target 293 4.7210722292260504D+08 (age_target - star_age)/age_sigma 294 71.2135952363 reducing max timestep prior to age target 294 4.6288836903610373D+08 (age_target - star_age)/age_sigma 295 69.8236757273 reducing max timestep prior to age target 295 4.5385389222733259D+08 (age_target - star_age)/age_sigma 296 68.4615546084 reducing max timestep prior to age target 296 4.4500010495473671D+08 (age_target - star_age)/age_sigma 297 67.1266759119 reducing max timestep prior to age target 297 4.3632339342759275D+08 (age_target - star_age)/age_sigma 298 65.8184947894 reducing max timestep prior to age target 298 4.2782021613099194D+08 (age_target - star_age)/age_sigma 299 64.5364772893 reducing max timestep prior to age target 299 4.1948710238032293D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.184863 5602.549 -0.024705 -0.024705 1.000000 1.000000 0.389565 0.005136 0.242019 -1.539462 516 0 6.9120E+00 7.184863 0.013559 -43.204742 -1.653431 -99.000000 0.000000 0.590667 0.008680 0.016962 0.114137 5 4.1582E+09 2.144684 -0.024646 -15.954590 -99.000000 -6.889989 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.8188642701784400D-13 log_rel_run_E_err -10.3173035765855552 (age_target - star_age)/age_sigma 300 63.2801001392 reducing max timestep prior to age target 300 4.1132065090466738D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0488505321 reducing max timestep prior to age target 301 4.0331752845852518D+08 (age_target - star_age)/age_sigma 302 60.8422259171 reducing max timestep prior to age target 302 3.9547446846130562D+08 (age_target - star_age)/age_sigma 303 59.6597337945 reducing max timestep prior to age target 303 3.8778826966403008D+08 (age_target - star_age)/age_sigma 304 58.5008915143 reducing max timestep prior to age target 304 3.8025579484270048D+08 (age_target - star_age)/age_sigma 305 57.3652260797 reducing max timestep prior to age target 305 3.7287396951779699D+08 (age_target - star_age)/age_sigma 306 56.2522739538 reducing max timestep prior to age target 306 3.6563978069939232D+08 (age_target - star_age)/age_sigma 307 55.1615808704 reducing max timestep prior to age target 307 3.5855027565735483D+08 (age_target - star_age)/age_sigma 308 54.0927016486 reducing max timestep prior to age target 308 3.5160256071615887D+08 (age_target - star_age)/age_sigma 309 53.0452000114 reducing max timestep prior to age target 309 3.4479380007378674D+08 310 7.186161 5603.770 -0.022165 -0.022165 1.000000 1.000000 0.383383 0.005156 0.241538 -1.536206 516 0 6.8243E+00 7.186161 0.014639 -43.120620 -1.649300 -99.000000 0.000000 0.596844 0.008663 0.016931 0.114910 5 4.2314E+09 2.149875 -0.022107 -99.000000 -99.000000 -6.891679 0.000000 0.000019 0.002008 0.019773 0.000E+00 max_dt rel_E_err 1.8907423157638416D-13 log_rel_run_E_err -10.3009859955855418 (age_target - star_age)/age_sigma 310 52.0186484068 reducing max timestep prior to age target 310 3.3812121464426184D+08 (age_target - star_age)/age_sigma 311 51.0126278344 reducing max timestep prior to age target 311 3.3158208092332745D+08 (age_target - star_age)/age_sigma 312 50.0267276734 reducing max timestep prior to age target 312 3.2517372987681198D+08 (age_target - star_age)/age_sigma 313 49.0605455156 reducing max timestep prior to age target 313 3.1889354585122681D+08 (age_target - star_age)/age_sigma 314 48.1136870009 reducing max timestep prior to age target 314 3.1273896550615311D+08 (age_target - star_age)/age_sigma 315 47.1857656566 reducing max timestep prior to age target 315 3.0670747676798105D+08 (age_target - star_age)/age_sigma 316 46.2764027392 reducing max timestep prior to age target 316 3.0079661780457211D+08 (age_target - star_age)/age_sigma 317 45.3852270801 reducing max timestep prior to age target 317 2.9500397602043152D+08 (age_target - star_age)/age_sigma 318 44.5118749341 reducing max timestep prior to age target 318 2.8932718707197332D+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 1.8944375105130089D-13 log_rel_run_E_err -10.2854600231262037 (age_target - star_age)/age_sigma 320 42.8001047282 reducing max timestep prior to age target 320 2.7820068073299599D+08 (age_target - star_age)/age_sigma 321 41.9613373272 reducing max timestep prior to age target 321 2.7274869262689781D+08 (age_target - star_age)/age_sigma 322 41.1393452743 reducing max timestep prior to age target 322 2.6740574428292084D+08 (age_target - star_age)/age_sigma 323 40.3337930624 reducing max timestep prior to age target 323 2.6216965490582275D+08 (age_target - star_age)/age_sigma 324 39.5443518948 reducing max timestep prior to age target 324 2.5703828731626797D+08 (age_target - star_age)/age_sigma 325 38.7706995505 reducing max timestep prior to age target 325 2.5200954707850361D+08 (age_target - star_age)/age_sigma 326 38.0125202532 reducing max timestep prior to age target 326 2.4708138164549541D+08 (age_target - star_age)/age_sigma 327 37.2695045417 reducing max timestep prior to age target 327 2.4225177952114677D+08 (age_target - star_age)/age_sigma 328 36.5413491445 reducing max timestep prior to age target 328 2.3751876943928432D+08 (age_target - star_age)/age_sigma 329 35.8277568552 reducing max timestep prior to age target 329 2.3288041955906010D+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 1.8854340295155891D-13 log_rel_run_E_err -10.2705284056793076 (age_target - star_age)/age_sigma 330 35.1284364118 reducing max timestep prior to age target 330 2.2833483667644024D+08 (age_target - star_age)/age_sigma 331 34.4431023771 reducing max timestep prior to age target 331 2.2388016545147228D+08 (age_target - star_age)/age_sigma 332 33.7714750232 reducing max timestep prior to age target 332 2.1951458765100384D+08 (age_target - star_age)/age_sigma 333 33.1132802164 reducing max timestep prior to age target 333 2.1523632140654469D+08 (age_target - star_age)/age_sigma 334 32.4682493057 reducing max timestep prior to age target 334 2.1104362048697472D+08 (age_target - star_age)/age_sigma 335 31.8361190132 reducing max timestep prior to age target 335 2.0693477358579636D+08 (age_target - star_age)/age_sigma 336 31.2166313266 reducing max timestep prior to age target 336 2.0290810362264156D+08 (age_target - star_age)/age_sigma 337 30.6095333937 reducing max timestep prior to age target 337 1.9896196705875015D+08 (age_target - star_age)/age_sigma 338 30.0145774194 reducing max timestep prior to age target 338 1.9509475322613621D+08 (age_target - star_age)/age_sigma 339 29.4315205646 reducing max timestep prior to age target 339 1.9130488367017460D+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 1.9085098238796296D-13 log_rel_run_E_err -10.2562367254135225 (age_target - star_age)/age_sigma 340 28.8601248470 reducing max timestep prior to age target 340 1.8759081150533199D+08 (age_target - star_age)/age_sigma 341 28.3001570437 reducing max timestep prior to age target 341 1.8395102078378677D+08 (age_target - star_age)/age_sigma 342 27.7513885964 reducing max timestep prior to age target 342 1.8038402587667274D+08 (age_target - star_age)/age_sigma 343 27.2135955181 reducing max timestep prior to age target 343 1.7688837086769962D+08 (age_target - star_age)/age_sigma 344 26.6865583014 reducing max timestep prior to age target 344 1.7346262895890713D+08 (age_target - star_age)/age_sigma 345 26.1700618290 reducing max timestep prior to age target 345 1.7010540188829041D+08 (age_target - star_age)/age_sigma 346 25.6638952860 reducing max timestep prior to age target 346 1.6681531935908508D+08 (age_target - star_age)/age_sigma 347 25.1678520739 reducing max timestep prior to age target 347 1.6359103848046494D+08 (age_target - star_age)/age_sigma 348 24.6817297261 reducing max timestep prior to age target 348 1.6043124321941662D+08 (age_target - star_age)/age_sigma 349 24.2053298252 reducing max timestep prior to age target 349 1.5733464386358929D+08 350 7.189479 5606.732 -0.015739 -0.015739 1.000000 1.000000 0.367757 0.005211 0.240347 -1.527897 516 0 6.4821E+00 7.189479 0.017392 -42.906760 -1.638658 -99.000000 0.000000 0.612456 0.008614 0.016855 0.116923 5 4.4152E+09 2.163121 -0.015684 -99.000000 -99.000000 -6.895951 0.000000 0.000020 0.002010 0.019787 0.000E+00 max_dt rel_E_err 1.8058580607092713D-13 log_rel_run_E_err -10.2418024447291618 (age_target - star_age)/age_sigma 350 23.7384579223 reducing max timestep prior to age target 350 1.5429997649487877D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2809234575 reducing max timestep prior to age target 351 1.5132600247354317D+08 (age_target - star_age)/age_sigma 352 22.8325396819 reducing max timestep prior to age target 352 1.4841150793263340D+08 (age_target - star_age)/age_sigma 353 22.3931235819 reducing max timestep prior to age target 353 1.4555530328254128D+08 (age_target - star_age)/age_sigma 355 21.5318680259 reducing max timestep prior to age target 355 1.3995714216836166D+08 (age_target - star_age)/age_sigma 356 21.1098528034 reducing max timestep prior to age target 356 1.3721404322241402D+08 (age_target - star_age)/age_sigma 357 20.6962778854 reducing max timestep prior to age target 357 1.3452580625538540D+08 (age_target - star_age)/age_sigma 358 20.2909744658 reducing max timestep prior to age target 358 1.3189133402769661D+08 (age_target - star_age)/age_sigma 359 19.8937771145 reducing max timestep prior to age target 359 1.2930955124456215D+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 -15.477469 -99.000000 -6.896595 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.7864289365776564D-13 log_rel_run_E_err -10.2282218828446503 (age_target - star_age)/age_sigma 360 19.5045237103 reducing max timestep prior to age target 360 1.2677940411709023D+08 (age_target - star_age)/age_sigma 361 19.1230553742 reducing max timestep prior to age target 361 1.2429985993216801D+08 (age_target - star_age)/age_sigma 362 18.7492164048 reducing max timestep prior to age target 362 1.2186990663094425D+08 (age_target - star_age)/age_sigma 363 18.3828542147 reducing max timestep prior to age target 363 1.1948855239574432D+08 (age_target - star_age)/age_sigma 364 18.0238192685 reducing max timestep prior to age target 364 1.1715482524524879D+08 (age_target - star_age)/age_sigma 365 17.6719650212 reducing max timestep prior to age target 365 1.1486777263776302D+08 (age_target - star_age)/age_sigma 366 17.3271478588 reducing max timestep prior to age target 366 1.1262646108242702D+08 (age_target - star_age)/age_sigma 367 16.9892270397 reducing max timestep prior to age target 367 1.1042997575819778D+08 (age_target - star_age)/age_sigma 368 16.6580646370 reducing max timestep prior to age target 368 1.0827742014045334D+08 (age_target - star_age)/age_sigma 369 16.3335254823 reducing max timestep prior to age target 369 1.0616791563506413D+08 370 7.190400 5607.513 -0.013972 -0.013972 1.000000 1.000000 0.363464 0.005227 0.240026 -1.525592 516 0 6.3154E+00 7.190400 0.018154 -42.847698 -1.635684 -99.000000 0.000000 0.616746 0.008600 0.016835 0.117491 5 4.4654E+09 2.166793 -0.013918 -99.000000 -99.000000 -6.897125 0.000000 0.000020 0.002011 0.019790 0.000E+00 max_dt rel_E_err 1.7670478148883720D-13 log_rel_run_E_err -10.2152010789042045 (age_target - star_age)/age_sigma 370 16.0154771107 reducing max timestep prior to age target 370 1.0410060121978188D+08 (age_target - star_age)/age_sigma 371 15.7037897066 reducing max timestep prior to age target 371 1.0207463309280586D+08 (age_target - star_age)/age_sigma 372 15.3983360505 reducing max timestep prior to age target 372 1.0008918432836914D+08 (age_target - star_age)/age_sigma 373 15.0989914676 reducing max timestep prior to age target 373 9.8143444539220810D+07 (age_target - star_age)/age_sigma 374 14.8056337763 reducing max timestep prior to age target 374 9.6236619545855522D+07 (age_target - star_age)/age_sigma 375 14.5181432388 reducing max timestep prior to age target 375 9.4367931052357674D+07 (age_target - star_age)/age_sigma 376 14.2364025121 reducing max timestep prior to age target 376 9.2536616328730583D+07 (age_target - star_age)/age_sigma 377 13.9602965999 reducing max timestep prior to age target 377 9.0741927899575233D+07 (age_target - star_age)/age_sigma 378 13.6897128060 reducing max timestep prior to age target 378 8.8983133239003181D+07 (age_target - star_age)/age_sigma 379 13.4245406879 reducing max timestep prior to age target 379 8.7259514471642494D+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 1.9437905682895157D-13 log_rel_run_E_err -10.2020857223050605 (age_target - star_age)/age_sigma 380 13.1646720123 reducing max timestep prior to age target 380 8.5570368079628944D+07 (age_target - star_age)/age_sigma 381 12.9100007101 reducing max timestep prior to age target 381 8.3915004615455627D+07 (age_target - star_age)/age_sigma 382 12.6604228339 reducing max timestep prior to age target 382 8.2292748420565605D+07 (age_target - star_age)/age_sigma 383 12.4158365153 reducing max timestep prior to age target 383 8.0702937349574089D+07 (age_target - star_age)/age_sigma 384 12.1761419231 reducing max timestep prior to age target 384 7.9144922500001907D+07 (age_target - star_age)/age_sigma 385 11.9412412227 reducing max timestep prior to age target 385 7.7618067947420120D+07 (age_target - star_age)/age_sigma 386 11.7110385363 reducing max timestep prior to age target 386 7.6121750485891342D+07 (age_target - star_age)/age_sigma 387 11.4854399036 reducing max timestep prior to age target 387 7.4655359373593330D+07 (age_target - star_age)/age_sigma 388 11.2643532436 reducing max timestep prior to age target 388 7.3218296083540916D+07 (age_target - star_age)/age_sigma 389 11.0476883168 reducing max timestep prior to age target 389 7.1809974059288979D+07 390 7.191022 5608.035 -0.012783 -0.012783 1.000000 1.000000 0.360578 0.005238 0.239796 -1.524035 516 0 6.1399E+00 7.191022 0.018667 -42.807918 -1.633672 -99.000000 0.000000 0.619629 0.008589 0.016820 0.117877 5 4.4991E+09 2.169270 -0.012729 -99.000000 -99.000000 -6.897918 0.000000 0.000020 0.002011 0.019793 0.000E+00 max_dt rel_E_err 1.8520065884753376D-13 log_rel_run_E_err -10.1895517359675534 (age_target - star_age)/age_sigma 391 10.6230250603 reducing max timestep prior to age target 391 6.9049662891756058D+07 (age_target - star_age)/age_sigma 392 10.4149400646 reducing max timestep prior to age target 392 6.7697110419665337D+07 (age_target - star_age)/age_sigma 393 10.2110167688 reducing max timestep prior to age target 393 6.6371608997015953D+07 (age_target - star_age)/age_sigma 394 10.0111719389 reducing max timestep prior to age target 394 6.5072617602819443D+07 (age_target - star_age)/age_sigma 395 9.8153240056 reducing max timestep prior to age target 395 6.3799606036507607D+07 (age_target - star_age)/age_sigma 396 9.6233930310 reducing max timestep prior to age target 396 6.2552054701520920D+07 (age_target - star_age)/age_sigma 397 9.4353006759 reducing max timestep prior to age target 397 6.1329454393234253D+07 (age_target - star_age)/age_sigma 398 9.2509701679 reducing max timestep prior to age target 398 6.0131306091114044D+07 (age_target - star_age)/age_sigma 399 9.0703262700 reducing max timestep prior to age target 399 5.8957120755035400D+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 -15.255620 -99.000000 -6.898215 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.9605777530256895D-13 log_rel_run_E_err -10.1771875727202392 (age_target - star_age)/age_sigma 400 8.8932952501 reducing max timestep prior to age target 400 5.7806419125678062D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7198048506 reducing max timestep prior to age target 401 5.6678731528908730D+07 (age_target - star_age)/age_sigma 402 8.5497842591 reducing max timestep prior to age target 402 5.5573597684074402D+07 (age_target - star_age)/age_sigma 403 8.3831640794 reducing max timestep prior to age target 403 5.4490566516137123D+07 (age_target - star_age)/age_sigma 404 8.2198763033 reducing max timestep prior to age target 404 5.3429195971558571D+07 (age_target - star_age)/age_sigma 405 8.0598542827 reducing max timestep prior to age target 405 5.2389052837870598D+07 (age_target - star_age)/age_sigma 406 7.9030327026 reducing max timestep prior to age target 406 5.1369712566857338D+07 (age_target - star_age)/age_sigma 407 7.7493475540 reducing max timestep prior to age target 407 5.0370759101264954D+07 (age_target - star_age)/age_sigma 408 7.5987361085 reducing max timestep prior to age target 408 4.9391784704983711D+07 (age_target - star_age)/age_sigma 409 7.4511368918 reducing max timestep prior to age target 409 4.8432389796627998D+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 1.7452535794316383D-13 log_rel_run_E_err -10.1654628623196643 (age_target - star_age)/age_sigma 410 7.3064896595 reducing max timestep prior to age target 410 4.7492182786439896D+07 (age_target - star_age)/age_sigma 411 7.1647353718 reducing max timestep prior to age target 411 4.6570779916455269D+07 (age_target - star_age)/age_sigma 412 7.0258161698 reducing max timestep prior to age target 412 4.5667805103870392D+07 (age_target - star_age)/age_sigma 413 6.8896753519 reducing max timestep prior to age target 413 4.4782889787536621D+07 (age_target - star_age)/age_sigma 414 6.7562573504 reducing max timestep prior to age target 414 4.3915672777529716D+07 (age_target - star_age)/age_sigma 415 6.6255077089 reducing max timestep prior to age target 415 4.3065800107723236D+07 (age_target - star_age)/age_sigma 416 6.4973730602 reducing max timestep prior to age target 416 4.2232924891312599D+07 (age_target - star_age)/age_sigma 417 6.3718011045 reducing max timestep prior to age target 417 4.1416707179230690D+07 (age_target - star_age)/age_sigma 418 6.2487405879 reducing max timestep prior to age target 418 4.0616813821390152D+07 (age_target - star_age)/age_sigma 419 6.1281412816 reducing max timestep prior to age target 419 3.9832918330706596D+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 -99.000000 -99.000000 -6.898657 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8474645455584736D-13 log_rel_run_E_err -10.1539933825218558 (age_target - star_age)/age_sigma 420 6.0099539615 reducing max timestep prior to age target 420 3.9064700749836922D+07 (age_target - star_age)/age_sigma 421 5.8941303878 reducing max timestep prior to age target 421 3.8311847520583153D+07 (age_target - star_age)/age_sigma 422 5.7806232855 reducing max timestep prior to age target 422 3.7574051355916023D+07 (age_target - star_age)/age_sigma 423 5.6693863253 reducing max timestep prior to age target 423 3.6851011114542007D+07 (age_target - star_age)/age_sigma 425 5.4513618833 reducing max timestep prior to age target 425 3.5433852241448402D+07 (age_target - star_age)/age_sigma 426 5.3445299067 reducing max timestep prior to age target 426 3.4739444393631935D+07 (age_target - star_age)/age_sigma 427 5.2398345697 reducing max timestep prior to age target 427 3.4058924702772141D+07 (age_target - star_age)/age_sigma 428 5.1372331393 reducing max timestep prior to age target 428 3.3392015405729294D+07 (age_target - star_age)/age_sigma 429 5.0366837376 reducing max timestep prior to age target 429 3.2738444294628143D+07 430 7.191733 5608.622 -0.011427 -0.011427 1.000000 1.000000 0.357286 0.005252 0.239534 -1.522254 516 0 5.8075E+00 7.191733 0.019254 -42.762469 -1.631364 -99.000000 0.000000 0.622919 0.008577 0.016804 0.118321 3 4.5374E+09 2.172103 -0.011373 -99.000000 -99.000000 -6.898822 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9113266360608105D-13 log_rel_run_E_err -10.1423786429422851 (age_target - star_age)/age_sigma 430 4.9379252330 remaining steps and years until age target 430 50 3.2096514014341354D+07 (age_target - star_age)/age_sigma 431 4.8391667283 remaining steps and years until age target 431 49 3.1454583734054565D+07 (age_target - star_age)/age_sigma 432 4.7404082237 remaining steps and years until age target 432 48 3.0812653453767776D+07 (age_target - star_age)/age_sigma 433 4.6416497190 reducing max timestep prior to age target 433 3.0170723173480034D+07 (age_target - star_age)/age_sigma 434 4.5428912143 remaining steps and years until age target 434 46 2.9528792893193245D+07 (age_target - star_age)/age_sigma 435 4.4441327097 remaining steps and years until age target 435 45 2.8886862612906456D+07 (age_target - star_age)/age_sigma 436 4.3453742050 remaining steps and years until age target 436 44 2.8244932332619667D+07 (age_target - star_age)/age_sigma 437 4.2466157004 remaining steps and years until age target 437 43 2.7603002052332878D+07 (age_target - star_age)/age_sigma 438 4.1478571957 reducing max timestep prior to age target 438 2.6961071772045135D+07 (age_target - star_age)/age_sigma 439 4.0490986910 remaining steps and years until age target 439 41 2.6319141491758347D+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 -15.653560 -99.000000 -6.898973 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8366920676782876D-13 log_rel_run_E_err -10.1314691625061233 (age_target - star_age)/age_sigma 440 3.9503401864 remaining steps and years until age target 440 40 2.5677211211471558D+07 (age_target - star_age)/age_sigma 441 3.8515816817 remaining steps and years until age target 441 39 2.5035280931184769D+07 (age_target - star_age)/age_sigma 442 3.7528231771 remaining steps and years until age target 442 38 2.4393350650897980D+07 (age_target - star_age)/age_sigma 443 3.6540646724 reducing max timestep prior to age target 443 2.3751420370610237D+07 (age_target - star_age)/age_sigma 444 3.5553061677 reducing max timestep prior to age target 444 2.3109490090323448D+07 (age_target - star_age)/age_sigma 445 3.4565476631 reducing max timestep prior to age target 445 2.2467559810036659D+07 (age_target - star_age)/age_sigma 446 3.3577891584 reducing max timestep prior to age target 446 2.1825629529749870D+07 (age_target - star_age)/age_sigma 447 3.2590306538 reducing max timestep prior to age target 447 2.1183699249463081D+07 (age_target - star_age)/age_sigma 448 3.1602721491 reducing max timestep prior to age target 448 2.0541768969176292D+07 (age_target - star_age)/age_sigma 449 3.0615136444 reducing max timestep prior to age target 449 1.9899838688888550D+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 -15.653560 -99.000000 -6.899124 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8068061933749011D-13 log_rel_run_E_err -10.1207604428309548 (age_target - star_age)/age_sigma 450 2.9627551398 reducing max timestep prior to age target 450 1.9257908408601761D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8639966351 reducing max timestep prior to age target 451 1.8615978128314972D+07 (age_target - star_age)/age_sigma 452 2.7652381305 reducing max timestep prior to age target 452 1.7974047848028183D+07 (age_target - star_age)/age_sigma 453 2.6664796258 reducing max timestep prior to age target 453 1.7332117567741394D+07 (age_target - star_age)/age_sigma 454 2.5677211211 reducing max timestep prior to age target 454 1.6690187287453651D+07 (age_target - star_age)/age_sigma 455 2.4689626165 remaining steps and years until age target 455 25 1.6048257007167816D+07 (age_target - star_age)/age_sigma 456 2.3702041118 reducing max timestep prior to age target 456 1.5406326726881027D+07 (age_target - star_age)/age_sigma 457 2.2714456072 reducing max timestep prior to age target 457 1.4764396446594238D+07 (age_target - star_age)/age_sigma 458 2.1726871025 remaining steps and years until age target 458 22 1.4122466166308403D+07 (age_target - star_age)/age_sigma 459 2.0739285978 reducing max timestep prior to age target 459 1.3480535886021614D+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 1.9686764306730887D-13 log_rel_run_E_err -10.1101418880569227 (age_target - star_age)/age_sigma 460 1.9751700932 reducing max timestep prior to age target 460 1.2838605605733871D+07 (age_target - star_age)/age_sigma 461 1.8764115885 remaining steps and years until age target 461 19 1.2196675325448036D+07 (age_target - star_age)/age_sigma 462 1.7776530839 reducing max timestep prior to age target 462 1.1554745045161247D+07 (age_target - star_age)/age_sigma 463 1.6788945792 reducing max timestep prior to age target 463 1.0912814764873505D+07 (age_target - star_age)/age_sigma 464 1.5801360746 remaining steps and years until age target 464 16 1.0270884484587669D+07 (age_target - star_age)/age_sigma 465 1.4813775699 reducing max timestep prior to age target 465 9.6289542043008804D+06 (age_target - star_age)/age_sigma 466 1.3826190652 reducing max timestep prior to age target 466 8.9870239240131378D+06 (age_target - star_age)/age_sigma 467 1.2838605606 remaining steps and years until age target 467 13 8.3450936437273026D+06 (age_target - star_age)/age_sigma 468 1.1851020559 reducing max timestep prior to age target 468 7.7031633634405136D+06 (age_target - star_age)/age_sigma 469 1.0863435513 reducing max timestep prior to age target 469 7.0612330831537247D+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 1.8343921918064382D-13 log_rel_run_E_err -10.1000487430583661 (age_target - star_age)/age_sigma 470 0.9875850466 reducing max timestep prior to age target 470 6.4193028028669357D+06 (age_target - star_age)/age_sigma 471 0.8888265419 remaining steps and years until age target 471 9 5.7773725225811005D+06 (age_target - star_age)/age_sigma 472 0.7900680373 reducing max timestep prior to age target 472 5.1354422422933578D+06 (age_target - star_age)/age_sigma 473 0.6913095326 remaining steps and years until age target 473 7 4.4935119620075226D+06 (age_target - star_age)/age_sigma 474 0.5925510280 remaining steps and years until age target 474 6 3.8515816817207336D+06 (age_target - star_age)/age_sigma 475 0.4937925233 reducing max timestep prior to age target 475 3.2096514014329910D+06 (age_target - star_age)/age_sigma 476 0.3950340186 remaining steps and years until age target 476 4 2.5677211211471558D+06 (age_target - star_age)/age_sigma 477 0.2962755140 reducing max timestep prior to age target 477 1.9257908408594131D+06 (age_target - star_age)/age_sigma 478 0.1975170093 reducing max timestep prior to age target 478 1.2838605605726242D+06 (age_target - star_age)/age_sigma 479 0.0987585047 remaining steps and years until age target 479 1 6.4193028028678894D+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 1.6319411789331133D-13 log_rel_run_E_err -10.0903551420395026 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 2.73 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 1.6319411789331133D-13 log_rel_run_E_err -10.0903551420395026 Teff 5609.1122770906 radius 1.0465194170 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 2164.0561576747 M_H -0.0068647778 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 47.1251749052 log_R 0.0197472906 delta_nu 132.3456575915 nu_max 2850.9534669590 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 334070.3937775266 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 "8f7f3a3" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251201" "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 3.3333875998556666E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615165515E+03 1.0010042019477079E+00 3.9078811584153271E-03 4.3590053513541853E-04 1.4131272100393792E+02 3.1134409185990198E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998556666E+05 0 0 0 0 0 0 0 4 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 1 3.3351283960191236E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383766992E+03 1.0231407131234238E+00 -1.7395981939735516E-03 9.9353665865795134E-03 1.3680762272705050E+02 2.9640776267829306E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191236E+05 0 0 0 0 0 0 0 3 3.3365606602482504E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368751E+03 1.0099970103007712E+00 2.9466215561576154E-02 4.3200882264055936E-03 1.3947582155333157E+02 3.0536692076803915E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482504E+05 0 0 0 0 0 0 0 7 3.3407039377752662E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770906477E+03 1.0465194169962895E+00 -6.8647778482025835E-03 1.9747290597412946E-02 1.3234565759146699E+02 2.8509534669589984E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377752662E+05 0 0 0 0 0 0 0 6 3.3418048986537295E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558238414E+03 1.0372797593388121E+00 -3.3936545784139877E-02 1.5895903497377413E-02 1.3402431816161439E+02 2.8735532959069042E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986537295E+05 0 0 0 0 0 0 0 2 3.3468070564325486E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272648E+03 1.0622782375814108E+00 -1.2788199776276491E-02 2.6238284372325182E-02 1.2938435093833905E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325486E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.6392348767531582D-01 -3.0382561623420901D-01 next_param_to_try initial_FeH 3 6.8730947585953772D-02 1.4551579309922957D-01 next_param_to_try alpha 4 2.1110729980010530D+00 3.7024332667017734D-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 3.9257593651081291D-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 1.9793106783607900D-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 7.8128501529439731D-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 7.8128501085350521D-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 7.8128502195573546D-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 7.8128501085350521D-08 finished relax to begin radiative core 66 1.2817237549347216D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1682140396462923D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6392348767531583D-05 initial_he4 2.6389709532654826D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999266D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999018D+09 10 6.620900 4310.490 -4.904162 -4.904162 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 0 -4.2919E+00 6.620900 0.262085 -99.000000 -6.301909 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071946 10 2.5712E-04 0.156464 0.016971 -20.771070 -99.000000 -6.903044 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7353308334288035D-13 log_rel_run_E_err -11.5714325752960967 solver rejected trial model s% model_number 11 s% solver_call_number 128 nz 459 s% num_retries 0 dt 1.9336979285452155D+03 log dt/secyer -4.2127153350901283D+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 2.7092800633288280D-13 log_rel_run_E_err -11.2713525167715520 30 6.620911 4342.329 -4.904165 -4.904165 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 1 -3.0885E+00 6.620911 0.262169 -99.000000 -6.301913 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 5 5.0286E-03 0.156481 0.029923 -99.000000 -99.000000 -6.917384 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6888115996831617D-13 log_rel_run_E_err -11.0942711577030462 40 6.620919 4343.637 -4.904161 -4.904161 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1 -2.2967E+00 6.620919 0.262216 -99.000000 -6.301908 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 3.0437E-02 0.156493 0.030540 -20.771070 -99.000000 -6.918012 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7130015900005783D-13 log_rel_run_E_err -10.9704508483539591 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 -20.771070 -99.000000 -6.918186 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7837107570090160D-13 log_rel_run_E_err -10.8729629258523772 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.620920 4344.021 -4.904159 -4.904159 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1 -7.1305E-01 6.620920 0.262225 -99.000000 -6.301907 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 1.1619E+00 0.156495 0.030712 -20.293948 -99.000000 -6.918190 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6460134513100057D-13 log_rel_run_E_err -10.7944175469777033 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 -99.000000 -99.000000 -6.918189 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7353279080910079D-13 log_rel_run_E_err -10.7276883728183137 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 2.6962368241462519D-13 log_rel_run_E_err -10.6681609952522134 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 -99.000000 -99.000000 -6.918161 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6235771098724004D-13 log_rel_run_E_err -10.6173786065913340 __________________________________________________________________________________________________________________________________________________ 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 -20.293948 -99.000000 -6.918008 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6937102669613635D-13 log_rel_run_E_err -10.5702583976775486 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 -20.470040 -99.000000 -6.917067 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6530166666855054D-13 log_rel_run_E_err -10.5295719853577072 120 6.624428 4339.412 -4.865661 -4.865661 1.000000 1.000000 0.716821 0.000973 0.263923 -4.003720 459 1 4.0378E+00 6.624428 0.258185 -99.000000 -6.263406 -99.000000 0.000000 0.263924 0.009031 0.019255 0.072064 2 6.5461E+04 0.169180 0.020787 -99.000000 -99.000000 -6.911317 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err -4.2021622787147851D-14 log_rel_run_E_err -10.5019919600284108 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 -20.169010 -99.000000 -6.878528 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7346078178139208D-13 log_rel_run_E_err -10.4549886678147974 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 2.3841903454420373D-13 log_rel_run_E_err -10.4033852490348906 150 6.806564 4290.132 -2.824193 -2.824193 1.000000 1.000000 0.716814 0.000973 0.263921 -2.622901 473 1 5.9625E+00 6.806564 0.062652 -99.000000 -4.221426 -99.000000 0.000000 0.263931 0.009031 0.019255 0.092029 4 1.0038E+07 1.034189 -0.390120 -99.000000 -99.000000 -6.650535 0.000000 0.003319 0.002007 0.019255 0.000E+00 lgRho_cntr rel_E_err 2.3066247641318982D-13 log_rel_run_E_err -10.4168811115089266 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 1.8155036197462742D-13 log_rel_run_E_err -10.5387060736752769 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 -15.477469 -99.000000 -6.818851 0.000000 0.002805 0.002008 0.019343 0.000E+00 max increase rel_E_err 1.9291753628230685D-13 log_rel_run_E_err -10.6446241437798097 (age_target - star_age)/age_sigma 173 694.6134728240 reducing max timestep prior to age target 173 4.5149875733560438D+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 5 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 1.8898594421453928D-13 log_rel_run_E_err -10.6107971968685302 (age_target - star_age)/age_sigma 180 680.7483002530 reducing max timestep prior to age target 180 4.4248639516442366D+09 (age_target - star_age)/age_sigma 183 666.7469288175 reducing max timestep prior to age target 183 4.3338550373137388D+09 (age_target - star_age)/age_sigma 185 652.1239580348 reducing max timestep prior to age target 185 4.2388057272261519D+09 (age_target - star_age)/age_sigma 187 631.0668801077 reducing max timestep prior to age target 187 4.1019347207000256D+09 (age_target - star_age)/age_sigma 188 618.7479362500 reducing max timestep prior to age target 188 4.0218615856250463D+09 (age_target - star_age)/age_sigma 189 606.6753712695 reducing max timestep prior to age target 189 3.9433899132515659D+09 190 7.130307 5562.274 -0.155879 -0.155879 1.000000 1.000000 0.671306 0.004860 0.259983 -1.659423 506 1 7.8859E+00 7.130307 -0.045758 -47.036929 -1.819456 -99.000000 0.000000 0.308792 0.009067 0.019003 0.089556 10 7.0301E+08 1.934298 -0.155813 -99.000000 -99.000000 -6.816486 0.000000 0.000014 0.002017 0.019902 0.000E+00 max_dt rel_E_err 2.0211265864237774D-13 log_rel_run_E_err -10.5799157288575181 (age_target - star_age)/age_sigma 190 594.8442575885 reducing max timestep prior to age target 190 3.8664876743255558D+09 (age_target - star_age)/age_sigma 191 583.2497661812 reducing max timestep prior to age target 191 3.7911234801780658D+09 (age_target - star_age)/age_sigma 192 571.8871646021 reducing max timestep prior to age target 192 3.7172665699135251D+09 (age_target - star_age)/age_sigma 193 560.7518150545 reducing max timestep prior to age target 193 3.6448867978542757D+09 (age_target - star_age)/age_sigma 194 549.8391724979 reducing max timestep prior to age target 194 3.5739546212362108D+09 (age_target - star_age)/age_sigma 195 539.1447827924 reducing max timestep prior to age target 195 3.5044410881505079D+09 (age_target - star_age)/age_sigma 196 528.6642808810 reducing max timestep prior to age target 196 3.4363178257265186D+09 (age_target - star_age)/age_sigma 197 518.3933890078 reducing max timestep prior to age target 197 3.3695570285510092D+09 (age_target - star_age)/age_sigma 198 508.3279149722 reducing max timestep prior to age target 198 3.3041314473190098D+09 (age_target - star_age)/age_sigma 199 498.4637504172 reducing max timestep prior to age target 199 3.2400143777116508D+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 -15.954590 -99.000000 -6.828811 0.000000 0.000015 0.002026 0.019998 0.000E+00 max_dt rel_E_err 1.8553876074254935D-13 log_rel_run_E_err -10.5517021355696254 (age_target - star_age)/age_sigma 200 488.7968691533 reducing max timestep prior to age target 200 3.1771796494964390D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.3233255147 reducing max timestep prior to age target 201 3.1156016158455310D+09 (age_target - star_age)/age_sigma 202 470.0392527489 reducing max timestep prior to age target 202 3.0552551428676414D+09 (age_target - star_age)/age_sigma 203 460.9408614384 reducing max timestep prior to age target 203 2.9961155993493094D+09 (age_target - star_age)/age_sigma 204 452.0244379541 reducing max timestep prior to age target 204 2.9381588467013445D+09 (age_target - star_age)/age_sigma 205 443.2863429394 reducing max timestep prior to age target 205 2.8813612291063385D+09 (age_target - star_age)/age_sigma 206 434.7230098251 reducing max timestep prior to age target 206 2.8256995638632326D+09 (age_target - star_age)/age_sigma 207 426.3309433731 reducing max timestep prior to age target 207 2.7711511319249887D+09 (age_target - star_age)/age_sigma 208 418.1067182501 reducing max timestep prior to age target 208 2.7176936686255102D+09 (age_target - star_age)/age_sigma 209 410.0469776295 reducing max timestep prior to age target 209 2.6653053545920210D+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 1.8131307486296832D-13 log_rel_run_E_err -10.5242873836996029 (age_target - star_age)/age_sigma 210 402.1484318214 reducing max timestep prior to age target 210 2.6139648068392015D+09 (age_target - star_age)/age_sigma 211 394.4078569295 reducing max timestep prior to age target 211 2.5636510700414381D+09 (age_target - star_age)/age_sigma 212 386.8220935353 reducing max timestep prior to age target 212 2.5143436079796305D+09 (age_target - star_age)/age_sigma 214 371.9539972828 reducing max timestep prior to age target 214 2.4177009823384871D+09 (age_target - star_age)/age_sigma 215 364.6686301191 reducing max timestep prior to age target 215 2.3703460957743273D+09 (age_target - star_age)/age_sigma 216 357.5289702987 reducing max timestep prior to age target 216 2.3239383069414501D+09 (age_target - star_age)/age_sigma 217 350.5321036747 reducing max timestep prior to age target 217 2.2784586738852310D+09 (age_target - star_age)/age_sigma 218 343.6751743831 reducing max timestep prior to age target 218 2.2338886334901357D+09 (age_target - star_age)/age_sigma 219 336.9553836774 reducing max timestep prior to age target 219 2.1902099939029427D+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 -15.352530 -99.000000 -6.848351 0.000000 0.000016 0.002041 0.020136 0.000E+00 max_dt rel_E_err 1.8824621778363978D-13 log_rel_run_E_err -10.4983577125260936 (age_target - star_age)/age_sigma 220 330.3699887858 reducing max timestep prior to age target 220 2.1474049271074934D+09 (age_target - star_age)/age_sigma 221 323.9163017920 reducing max timestep prior to age target 221 2.1054559616479535D+09 (age_target - star_age)/age_sigma 222 317.5916885381 reducing max timestep prior to age target 222 2.0643459754976039D+09 (age_target - star_age)/age_sigma 223 311.3935675493 reducing max timestep prior to age target 223 2.0240581890702615D+09 (age_target - star_age)/age_sigma 224 305.3194089802 reducing max timestep prior to age target 224 1.9845761583714657D+09 (age_target - star_age)/age_sigma 225 299.3667335826 reducing max timestep prior to age target 225 1.9458837682866459D+09 (age_target - star_age)/age_sigma 226 293.5331116928 reducing max timestep prior to age target 226 1.9079652260035229D+09 (age_target - star_age)/age_sigma 227 287.8161622409 reducing max timestep prior to age target 227 1.8708050545660620D+09 (age_target - star_age)/age_sigma 228 282.2135517781 reducing max timestep prior to age target 228 1.8343880865573502D+09 (age_target - star_age)/age_sigma 229 276.7229935244 reducing max timestep prior to age target 229 1.7986994579088130D+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 -99.000000 -99.000000 -6.856082 0.000000 0.000016 0.002046 0.020185 0.000E+00 max_dt rel_E_err 2.0301547720378443D-13 log_rel_run_E_err -10.4742593437295533 (age_target - star_age)/age_sigma 230 271.3422464359 reducing max timestep prior to age target 230 1.7637246018332462D+09 (age_target - star_age)/age_sigma 231 266.0691142891 reducing max timestep prior to age target 231 1.7294492428791909D+09 (age_target - star_age)/age_sigma 232 260.9014447853 reducing max timestep prior to age target 232 1.6958593911042166D+09 (age_target - star_age)/age_sigma 233 255.8371286715 reducing max timestep prior to age target 233 1.6629413363647423D+09 (age_target - star_age)/age_sigma 234 250.8740988800 reducing max timestep prior to age target 234 1.6306816427200570D+09 (age_target - star_age)/age_sigma 235 246.0103296843 reducing max timestep prior to age target 235 1.5990671429482651D+09 (age_target - star_age)/age_sigma 236 241.2438358726 reducing max timestep prior to age target 236 1.5680849331719098D+09 (age_target - star_age)/age_sigma 237 236.5726719371 reducing max timestep prior to age target 237 1.5377223675910811D+09 (age_target - star_age)/age_sigma 238 231.9949312803 reducing max timestep prior to age target 238 1.5079670533218694D+09 (age_target - star_age)/age_sigma 239 227.5087454366 reducing max timestep prior to age target 239 1.4788068453380413D+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 1.8085416647455133D-13 log_rel_run_E_err -10.4509200135045095 (age_target - star_age)/age_sigma 240 223.1122833098 reducing max timestep prior to age target 240 1.4502298415138903D+09 (age_target - star_age)/age_sigma 241 218.8037504256 reducing max timestep prior to age target 241 1.4222243777662220D+09 (age_target - star_age)/age_sigma 242 214.5813881990 reducing max timestep prior to age target 242 1.3947790232935071D+09 (age_target - star_age)/age_sigma 243 210.4434732170 reducing max timestep prior to age target 243 1.3678825759102468D+09 (age_target - star_age)/age_sigma 244 206.3883165346 reducing max timestep prior to age target 244 1.3415240574746513D+09 (age_target - star_age)/age_sigma 245 202.4142629858 reducing max timestep prior to age target 245 1.3156927094077678D+09 (age_target - star_age)/age_sigma 246 198.5196905080 reducing max timestep prior to age target 246 1.2903779883022223D+09 (age_target - star_age)/age_sigma 248 190.8863284516 reducing max timestep prior to age target 248 1.2407611349353523D+09 (age_target - star_age)/age_sigma 249 187.1459810439 reducing max timestep prior to age target 249 1.2164488767855864D+09 250 7.164112 5628.538 -0.078927 -0.078927 1.000000 1.000000 0.473912 0.005064 0.244978 -1.575810 511 1 7.3771E+00 7.164112 -0.017567 -44.527964 -1.727905 -99.000000 0.000000 0.505834 0.009104 0.018036 0.105532 10 3.3769E+09 2.073349 -0.078858 -15.954590 -99.000000 -6.868038 0.000000 0.000017 0.002053 0.020254 0.000E+00 max_dt rel_E_err 1.9506473720459548D-13 log_rel_run_E_err -10.4290306560105339 (age_target - star_age)/age_sigma 250 183.4804405844 reducing max timestep prior to age target 250 1.1926228637988157D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.8882109341 reducing max timestep prior to age target 251 1.1692733710717802D+09 (age_target - star_age)/age_sigma 252 176.3678258768 reducing max timestep prior to age target 252 1.1463908681992855D+09 (age_target - star_age)/age_sigma 253 172.9178485207 reducing max timestep prior to age target 253 1.1239660153842406D+09 (age_target - star_age)/age_sigma 254 169.5368707116 reducing max timestep prior to age target 254 1.1019896596254964D+09 (age_target - star_age)/age_sigma 255 166.2235124588 reducing max timestep prior to age target 255 1.0804528309819279D+09 (age_target - star_age)/age_sigma 256 162.9764213710 reducing max timestep prior to age target 256 1.0593467389112301D+09 (age_target - star_age)/age_sigma 257 159.7942721049 reducing max timestep prior to age target 257 1.0386627686819463D+09 (age_target - star_age)/age_sigma 258 156.6757658242 reducing max timestep prior to age target 258 1.0183924778572483D+09 (age_target - star_age)/age_sigma 259 153.6196296691 reducing max timestep prior to age target 259 9.9852759284904432D+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 1.9807851341621860D-13 log_rel_run_E_err -10.4079498071031278 (age_target - star_age)/age_sigma 260 150.6246162371 reducing max timestep prior to age target 260 9.7906000554100418D+08 (age_target - star_age)/age_sigma 261 147.6895030737 reducing max timestep prior to age target 261 9.5998176997912550D+08 (age_target - star_age)/age_sigma 262 144.8130921736 reducing max timestep prior to age target 262 9.4128509912848377D+08 (age_target - star_age)/age_sigma 263 141.9942094915 reducing max timestep prior to age target 263 9.2296236169485474D+08 (age_target - star_age)/age_sigma 264 139.2317044631 reducing max timestep prior to age target 264 9.0500607900989866D+08 (age_target - star_age)/age_sigma 265 136.5244495352 reducing max timestep prior to age target 265 8.8740892197864151D+08 (age_target - star_age)/age_sigma 266 133.8713397058 reducing max timestep prior to age target 266 8.7016370808800983D+08 (age_target - star_age)/age_sigma 267 131.2712920731 reducing max timestep prior to age target 267 8.5326339847519064D+08 (age_target - star_age)/age_sigma 268 128.7232453930 reducing max timestep prior to age target 268 8.3670109505462790D+08 (age_target - star_age)/age_sigma 269 126.2261596465 reducing max timestep prior to age target 269 8.2047003770247602D+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 -99.000000 -99.000000 -6.876458 0.000000 0.000018 0.002058 0.020297 0.000E+00 max_dt rel_E_err 1.8411570931041789D-13 log_rel_run_E_err -10.3883788925766698 (age_target - star_age)/age_sigma 270 123.7790156150 reducing max timestep prior to age target 270 8.0456360149736738D+08 (age_target - star_age)/age_sigma 271 121.3808144641 reducing max timestep prior to age target 271 7.8897529401636124D+08 (age_target - star_age)/age_sigma 272 119.0305773361 reducing max timestep prior to age target 272 7.7369875268497467D+08 (age_target - star_age)/age_sigma 273 116.7273449508 reducing max timestep prior to age target 273 7.5872774218021584D+08 (age_target - star_age)/age_sigma 274 114.4701772132 reducing max timestep prior to age target 274 7.4405615188555288D+08 (age_target - star_age)/age_sigma 275 112.2581528303 reducing max timestep prior to age target 275 7.2967799339678240D+08 (age_target - star_age)/age_sigma 276 110.0903689350 reducing max timestep prior to age target 276 7.1558739807778788D+08 (age_target - star_age)/age_sigma 277 107.9659407177 reducing max timestep prior to age target 277 7.0177861466517305D+08 (age_target - star_age)/age_sigma 278 105.8840010647 reducing max timestep prior to age target 278 6.8824600692081070D+08 (age_target - star_age)/age_sigma 279 103.8437002048 reducing max timestep prior to age target 279 6.7498405133133507D+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 1.7773880683606668D-13 log_rel_run_E_err -10.3690709601835263 (age_target - star_age)/age_sigma 280 101.8442053621 reducing max timestep prior to age target 280 6.6198733485364914D+08 (age_target - star_age)/age_sigma 281 99.8847004162 reducing max timestep prior to age target 281 6.4925055270551729D+08 (age_target - star_age)/age_sigma 283 96.0440707223 reducing max timestep prior to age target 283 6.2428645969517851D+08 (age_target - star_age)/age_sigma 284 94.1621621723 reducing max timestep prior to age target 284 6.1205405412011242D+08 (age_target - star_age)/age_sigma 285 92.3178917933 reducing max timestep prior to age target 285 6.0006629665654755D+08 (age_target - star_age)/age_sigma 286 90.5105068219 reducing max timestep prior to age target 286 5.8831829434225416D+08 (age_target - star_age)/age_sigma 287 88.7392695499 reducing max timestep prior to age target 287 5.7680525207424641D+08 (age_target - star_age)/age_sigma 288 87.0034570233 reducing max timestep prior to age target 288 5.6552247065159893D+08 (age_target - star_age)/age_sigma 289 85.3023607473 reducing max timestep prior to age target 289 5.5446534485740471D+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 2.0364853279289665D-13 log_rel_run_E_err -10.3508264459223476 (age_target - star_age)/age_sigma 290 83.6352863968 reducing max timestep prior to age target 290 5.4362936157909393D+08 (age_target - star_age)/age_sigma 291 82.0015535333 reducing max timestep prior to age target 291 5.3301009796634960D+08 (age_target - star_age)/age_sigma 292 80.4004953271 reducing max timestep prior to age target 292 5.2260321962586069D+08 (age_target - star_age)/age_sigma 293 78.8314582850 reducing max timestep prior to age target 293 5.1240447885218096D+08 (age_target - star_age)/age_sigma 294 77.2938019837 reducing max timestep prior to age target 294 5.0240971289397478D+08 (age_target - star_age)/age_sigma 295 75.7868988085 reducing max timestep prior to age target 295 4.9261484225493288D+08 (age_target - star_age)/age_sigma 296 74.3101336967 reducing max timestep prior to age target 296 4.8301586902867174D+08 (age_target - star_age)/age_sigma 297 72.8629038872 reducing max timestep prior to age target 297 4.7360887526693583D+08 (age_target - star_age)/age_sigma 298 71.4446186739 reducing max timestep prior to age target 298 4.6439002138043451D+08 (age_target - star_age)/age_sigma 299 70.0546991649 reducing max timestep prior to age target 299 4.5535554457166338D+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 -99.000000 -99.000000 -6.884468 0.000000 0.000019 0.002063 0.020334 0.000E+00 max_dt rel_E_err 1.7904408425523566D-13 log_rel_run_E_err -10.3336889317675933 (age_target - star_age)/age_sigma 300 68.6925780460 reducing max timestep prior to age target 300 4.4650175729906750D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.3576993495 reducing max timestep prior to age target 301 4.3782504577192402D+08 (age_target - star_age)/age_sigma 302 66.0495182270 reducing max timestep prior to age target 302 4.2932186847532272D+08 (age_target - star_age)/age_sigma 303 64.7675007269 reducing max timestep prior to age target 303 4.2098875472465372D+08 (age_target - star_age)/age_sigma 304 63.5111235768 reducing max timestep prior to age target 304 4.1282230324899817D+08 (age_target - star_age)/age_sigma 305 62.2798739697 reducing max timestep prior to age target 305 4.0481918080285597D+08 (age_target - star_age)/age_sigma 306 61.0732493547 reducing max timestep prior to age target 306 3.9697612080563641D+08 (age_target - star_age)/age_sigma 307 59.8907572321 reducing max timestep prior to age target 307 3.8928992200836086D+08 (age_target - star_age)/age_sigma 308 58.7319149519 reducing max timestep prior to age target 308 3.8175744718703127D+08 (age_target - star_age)/age_sigma 309 57.5962495173 reducing max timestep prior to age target 309 3.7437562186212778D+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 -15.477469 -99.000000 -6.886268 0.000000 0.000019 0.002064 0.020342 0.000E+00 max_dt rel_E_err 1.7746781274315084D-13 log_rel_run_E_err -10.3166547451028237 (age_target - star_age)/age_sigma 310 56.4832973913 reducing max timestep prior to age target 310 3.6714143304372311D+08 (age_target - star_age)/age_sigma 311 55.3926043080 reducing max timestep prior to age target 311 3.6005192800168562D+08 (age_target - star_age)/age_sigma 312 54.3237250862 reducing max timestep prior to age target 312 3.5310421306048965D+08 (age_target - star_age)/age_sigma 313 53.2762234489 reducing max timestep prior to age target 313 3.4629545241811752D+08 (age_target - star_age)/age_sigma 314 52.2496718444 reducing max timestep prior to age target 314 3.3962286698859262D+08 (age_target - star_age)/age_sigma 315 51.2436512719 reducing max timestep prior to age target 315 3.3308373326765823D+08 (age_target - star_age)/age_sigma 316 50.2577511109 reducing max timestep prior to age target 316 3.2667538222114277D+08 (age_target - star_age)/age_sigma 318 48.3253867954 reducing max timestep prior to age target 318 3.1411501416997242D+08 (age_target - star_age)/age_sigma 319 47.3785282808 reducing max timestep prior to age target 319 3.0796043382489872D+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 1.8685969314772704D-13 log_rel_run_E_err -10.3007511604082183 (age_target - star_age)/age_sigma 320 46.4506069364 reducing max timestep prior to age target 320 3.0192894508672667D+08 (age_target - star_age)/age_sigma 321 45.5412440190 reducing max timestep prior to age target 321 2.9601808612331772D+08 (age_target - star_age)/age_sigma 322 44.6500683599 reducing max timestep prior to age target 322 2.9022544433917713D+08 (age_target - star_age)/age_sigma 323 43.7767162140 reducing max timestep prior to age target 323 2.8454865539071941D+08 (age_target - star_age)/age_sigma 324 42.9208311110 reducing max timestep prior to age target 324 2.7898540222123051D+08 (age_target - star_age)/age_sigma 325 42.0820637100 reducing max timestep prior to age target 325 2.7353341411513138D+08 (age_target - star_age)/age_sigma 326 41.2600716571 reducing max timestep prior to age target 326 2.6819046577115440D+08 (age_target - star_age)/age_sigma 327 40.4545194452 reducing max timestep prior to age target 327 2.6295437639405727D+08 (age_target - star_age)/age_sigma 328 39.6650782776 reducing max timestep prior to age target 328 2.5782300880450249D+08 (age_target - star_age)/age_sigma 329 38.8914259333 reducing max timestep prior to age target 329 2.5279426856673813D+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 1.7757583312607605D-13 log_rel_run_E_err -10.2850921330416334 (age_target - star_age)/age_sigma 330 38.1332466360 reducing max timestep prior to age target 330 2.4786610313372898D+08 (age_target - star_age)/age_sigma 331 37.3902309245 reducing max timestep prior to age target 331 2.4303650100938034D+08 (age_target - star_age)/age_sigma 332 36.6620755273 reducing max timestep prior to age target 332 2.3830349092751884D+08 (age_target - star_age)/age_sigma 333 35.9484832380 reducing max timestep prior to age target 333 2.3366514104729462D+08 (age_target - star_age)/age_sigma 334 35.2491627946 reducing max timestep prior to age target 334 2.2911955816467381D+08 (age_target - star_age)/age_sigma 335 34.5638287600 reducing max timestep prior to age target 335 2.2466488693970680D+08 (age_target - star_age)/age_sigma 336 33.8922014060 reducing max timestep prior to age target 336 2.2029930913923836D+08 (age_target - star_age)/age_sigma 337 33.2340065992 reducing max timestep prior to age target 337 2.1602104289477921D+08 (age_target - star_age)/age_sigma 338 32.5889756885 reducing max timestep prior to age target 338 2.1182834197520924D+08 (age_target - star_age)/age_sigma 339 31.9568453960 reducing max timestep prior to age target 339 2.0771949507403088D+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 1.7066670723682333D-13 log_rel_run_E_err -10.2702635447282642 (age_target - star_age)/age_sigma 340 31.3373577094 reducing max timestep prior to age target 340 2.0369282511087608D+08 (age_target - star_age)/age_sigma 341 30.7302597765 reducing max timestep prior to age target 341 1.9974668854698467D+08 (age_target - star_age)/age_sigma 342 30.1353038022 reducing max timestep prior to age target 342 1.9587947471437073D+08 (age_target - star_age)/age_sigma 343 29.5522469474 reducing max timestep prior to age target 343 1.9208960515840912D+08 (age_target - star_age)/age_sigma 344 28.9808512298 reducing max timestep prior to age target 344 1.8837553299356651D+08 (age_target - star_age)/age_sigma 345 28.4208834265 reducing max timestep prior to age target 345 1.8473574227202129D+08 (age_target - star_age)/age_sigma 346 27.8721149792 reducing max timestep prior to age target 346 1.8116874736490726D+08 (age_target - star_age)/age_sigma 347 27.3343219009 reducing max timestep prior to age target 347 1.7767309235593414D+08 (age_target - star_age)/age_sigma 348 26.8072846842 reducing max timestep prior to age target 348 1.7424735044714165D+08 (age_target - star_age)/age_sigma 349 26.2907882118 reducing max timestep prior to age target 349 1.7089012337652493D+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 1.9768024689811975D-13 log_rel_run_E_err -10.2553463475384863 (age_target - star_age)/age_sigma 350 25.7846216688 reducing max timestep prior to age target 350 1.6760004084731960D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.2885784567 reducing max timestep prior to age target 351 1.6437575996869946D+08 (age_target - star_age)/age_sigma 353 24.3163337610 reducing max timestep prior to age target 353 1.5805616944660282D+08 (age_target - star_age)/age_sigma 354 23.8399338601 reducing max timestep prior to age target 354 1.5495957009077644D+08 (age_target - star_age)/age_sigma 355 23.3730619572 reducing max timestep prior to age target 355 1.5192490272206593D+08 (age_target - star_age)/age_sigma 356 22.9155274924 reducing max timestep prior to age target 356 1.4895092870072937D+08 (age_target - star_age)/age_sigma 357 22.4671437169 reducing max timestep prior to age target 357 1.4603643415981960D+08 (age_target - star_age)/age_sigma 358 22.0277276169 reducing max timestep prior to age target 358 1.4318022950972843D+08 (age_target - star_age)/age_sigma 359 21.5970998389 reducing max timestep prior to age target 359 1.4038114895263863D+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 -15.255620 -99.000000 -6.891525 0.000000 0.000019 0.002067 0.020363 0.000E+00 max_dt rel_E_err 1.8241395186592744D-13 log_rel_run_E_err -10.2413123629248570 (age_target - star_age)/age_sigma 360 21.1750846164 reducing max timestep prior to age target 360 1.3763805000669003D+08 (age_target - star_age)/age_sigma 361 20.7615096984 reducing max timestep prior to age target 361 1.3494981303966141D+08 (age_target - star_age)/age_sigma 362 20.3562062788 reducing max timestep prior to age target 362 1.3231534081197262D+08 (age_target - star_age)/age_sigma 363 19.9590089275 reducing max timestep prior to age target 363 1.2973355802883816D+08 (age_target - star_age)/age_sigma 364 19.5697555233 reducing max timestep prior to age target 364 1.2720341090136623D+08 (age_target - star_age)/age_sigma 365 19.1882871871 reducing max timestep prior to age target 365 1.2472386671644402D+08 (age_target - star_age)/age_sigma 366 18.8144482177 reducing max timestep prior to age target 366 1.2229391341522026D+08 (age_target - star_age)/age_sigma 367 18.4480860277 reducing max timestep prior to age target 367 1.1991255918002033D+08 (age_target - star_age)/age_sigma 368 18.0890510815 reducing max timestep prior to age target 368 1.1757883202952480D+08 (age_target - star_age)/age_sigma 369 17.7371968342 reducing max timestep prior to age target 369 1.1529177942203903D+08 370 7.181151 5652.084 -0.044398 -0.044398 1.000000 1.000000 0.389654 0.005247 0.239015 -1.531903 511 1 6.3505E+00 7.181151 -0.003933 -43.396650 -1.676464 -99.000000 0.000000 0.589981 0.008989 0.017647 0.115009 5 4.4564E+09 2.142138 -0.044338 -99.000000 -99.000000 -6.892092 0.000000 0.000019 0.002067 0.020365 0.000E+00 max_dt rel_E_err 1.8389384225787486D-13 log_rel_run_E_err -10.2275494008027437 (age_target - star_age)/age_sigma 370 17.3923796718 reducing max timestep prior to age target 370 1.1305046786670303D+08 (age_target - star_age)/age_sigma 371 17.0544588527 reducing max timestep prior to age target 371 1.1085398254247379D+08 (age_target - star_age)/age_sigma 372 16.7232964500 reducing max timestep prior to age target 372 1.0870142692472935D+08 (age_target - star_age)/age_sigma 373 16.3987572953 reducing max timestep prior to age target 373 1.0659192241934013D+08 (age_target - star_age)/age_sigma 374 16.0807089237 reducing max timestep prior to age target 374 1.0452460800405788D+08 (age_target - star_age)/age_sigma 375 15.7690215196 reducing max timestep prior to age target 375 1.0249863987708187D+08 (age_target - star_age)/age_sigma 376 15.4635678635 reducing max timestep prior to age target 376 1.0051319111264515D+08 (age_target - star_age)/age_sigma 377 15.1642232805 reducing max timestep prior to age target 377 9.8567451323496819D+07 (age_target - star_age)/age_sigma 378 14.8708655893 reducing max timestep prior to age target 378 9.6660626330131531D+07 (age_target - star_age)/age_sigma 379 14.5833750518 reducing max timestep prior to age target 379 9.4791937836633682D+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 1.5984521900921423D-13 log_rel_run_E_err -10.2143644287621171 (age_target - star_age)/age_sigma 380 14.3016343251 reducing max timestep prior to age target 380 9.2960623113006592D+07 (age_target - star_age)/age_sigma 381 14.0255284129 reducing max timestep prior to age target 381 9.1165934683851242D+07 (age_target - star_age)/age_sigma 382 13.7549446190 reducing max timestep prior to age target 382 8.9407140023279190D+07 (age_target - star_age)/age_sigma 383 13.4897725009 reducing max timestep prior to age target 383 8.7683521255918503D+07 (age_target - star_age)/age_sigma 384 13.2299038252 reducing max timestep prior to age target 384 8.5994374863904953D+07 (age_target - star_age)/age_sigma 385 12.9752325230 reducing max timestep prior to age target 385 8.4339011399731636D+07 (age_target - star_age)/age_sigma 386 12.7256546469 reducing max timestep prior to age target 386 8.2716755204841614D+07 (age_target - star_age)/age_sigma 388 12.2364820097 reducing max timestep prior to age target 388 7.9537133062857628D+07 (age_target - star_age)/age_sigma 389 11.9967874174 reducing max timestep prior to age target 389 7.7979118213285446D+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 1.8042808287950044D-13 log_rel_run_E_err -10.2013478922010208 (age_target - star_age)/age_sigma 390 11.7618867170 reducing max timestep prior to age target 390 7.6452263660704613D+07 (age_target - star_age)/age_sigma 391 11.5316840306 reducing max timestep prior to age target 391 7.4955946199175835D+07 (age_target - star_age)/age_sigma 392 11.3060853980 reducing max timestep prior to age target 392 7.3489555086876869D+07 (age_target - star_age)/age_sigma 393 11.0849987380 reducing max timestep prior to age target 393 7.2052491796824455D+07 (age_target - star_age)/age_sigma 394 10.8683338112 reducing max timestep prior to age target 394 7.0644169772573471D+07 (age_target - star_age)/age_sigma 395 10.6560021829 reducing max timestep prior to age target 395 6.9264014188806534D+07 (age_target - star_age)/age_sigma 396 10.4479171872 reducing max timestep prior to age target 396 6.7911461716715813D+07 (age_target - star_age)/age_sigma 397 10.2439938914 reducing max timestep prior to age target 397 6.6585960294066429D+07 (age_target - star_age)/age_sigma 398 10.0441490615 reducing max timestep prior to age target 398 6.5286968899869919D+07 (age_target - star_age)/age_sigma 399 9.8483011282 reducing max timestep prior to age target 399 6.4013957333558083D+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 4 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 1.9650538596393936D-13 log_rel_run_E_err -10.1886643757752058 (age_target - star_age)/age_sigma 400 9.6563701536 reducing max timestep prior to age target 400 6.2766405998571396D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4682777985 reducing max timestep prior to age target 401 6.1543805690284729D+07 (age_target - star_age)/age_sigma 402 9.2839472905 reducing max timestep prior to age target 402 6.0345657388164520D+07 (age_target - star_age)/age_sigma 403 9.1033033926 reducing max timestep prior to age target 403 5.9171472052085876D+07 (age_target - star_age)/age_sigma 404 8.9262723727 reducing max timestep prior to age target 404 5.8020770422729492D+07 (age_target - star_age)/age_sigma 405 8.7527819732 reducing max timestep prior to age target 405 5.6893082825960159D+07 (age_target - star_age)/age_sigma 406 8.5827613817 reducing max timestep prior to age target 406 5.5787948981125832D+07 (age_target - star_age)/age_sigma 407 8.4161412020 reducing max timestep prior to age target 407 5.4704917813187599D+07 (age_target - star_age)/age_sigma 408 8.2528534259 reducing max timestep prior to age target 408 5.3643547268609047D+07 (age_target - star_age)/age_sigma 409 8.0928314054 reducing max timestep prior to age target 409 5.2603404134922028D+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 -15.954590 -99.000000 -6.893511 0.000000 0.000019 0.002068 0.020371 0.000E+00 max_dt rel_E_err 1.9499302977033286D-13 log_rel_run_E_err -10.1762335962401842 (age_target - star_age)/age_sigma 410 7.9360098252 reducing max timestep prior to age target 410 5.1584063863908768D+07 (age_target - star_age)/age_sigma 411 7.7823246767 reducing max timestep prior to age target 411 5.0585110398315430D+07 (age_target - star_age)/age_sigma 412 7.6317132311 reducing max timestep prior to age target 412 4.9606136002034187D+07 (age_target - star_age)/age_sigma 413 7.4841140144 reducing max timestep prior to age target 413 4.8646741093678474D+07 (age_target - star_age)/age_sigma 414 7.3394667821 reducing max timestep prior to age target 414 4.7706534083490372D+07 (age_target - star_age)/age_sigma 415 7.1977124944 reducing max timestep prior to age target 415 4.6785131213505745D+07 (age_target - star_age)/age_sigma 416 7.0587932924 reducing max timestep prior to age target 416 4.5882156400920868D+07 (age_target - star_age)/age_sigma 417 6.9226524746 reducing max timestep prior to age target 417 4.4997241084587097D+07 (age_target - star_age)/age_sigma 418 6.7892344730 reducing max timestep prior to age target 418 4.4130024074580193D+07 (age_target - star_age)/age_sigma 419 6.6584848315 reducing max timestep prior to age target 419 4.3280151404773712D+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 -99.000000 -99.000000 -6.893723 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 1.9283927612493234D-13 log_rel_run_E_err -10.1639485959629390 (age_target - star_age)/age_sigma 420 6.5303501828 reducing max timestep prior to age target 420 4.2447276188364029D+07 (age_target - star_age)/age_sigma 422 6.2792062714 reducing max timestep prior to age target 422 4.0814840764199257D+07 (age_target - star_age)/age_sigma 423 6.1561457548 reducing max timestep prior to age target 423 4.0014947406358719D+07 (age_target - star_age)/age_sigma 424 6.0355464486 reducing max timestep prior to age target 424 3.9231051915675163D+07 (age_target - star_age)/age_sigma 425 5.9173591284 reducing max timestep prior to age target 425 3.8462834334805489D+07 (age_target - star_age)/age_sigma 426 5.8015355547 reducing max timestep prior to age target 426 3.7709981105552673D+07 (age_target - star_age)/age_sigma 427 5.6880284524 reducing max timestep prior to age target 427 3.6972184940884590D+07 (age_target - star_age)/age_sigma 428 5.5767914922 reducing max timestep prior to age target 428 3.6249144699510574D+07 (age_target - star_age)/age_sigma 429 5.4677792712 reducing max timestep prior to age target 429 3.5540565262963295D+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 1.9369010169627876D-13 log_rel_run_E_err -10.1523590504354733 (age_target - star_age)/age_sigma 430 5.3609472946 reducing max timestep prior to age target 430 3.4846157415147781D+07 (age_target - star_age)/age_sigma 431 5.2562519576 reducing max timestep prior to age target 431 3.4165637724287987D+07 (age_target - star_age)/age_sigma 432 5.1536505273 reducing max timestep prior to age target 432 3.3498728427245140D+07 (age_target - star_age)/age_sigma 433 5.0531011256 reducing max timestep prior to age target 433 3.2845157316143990D+07 (age_target - star_age)/age_sigma 434 4.9540207113 remaining steps and years until age target 434 50 3.2201134623670578D+07 (age_target - star_age)/age_sigma 435 4.8549402971 remaining steps and years until age target 435 49 3.1557111931197166D+07 (age_target - star_age)/age_sigma 436 4.7558598829 remaining steps and years until age target 436 48 3.0913089238723755D+07 (age_target - star_age)/age_sigma 437 4.6567794687 remaining steps and years until age target 437 47 3.0269066546250343D+07 (age_target - star_age)/age_sigma 438 4.5576990544 remaining steps and years until age target 438 46 2.9625043853776932D+07 (age_target - star_age)/age_sigma 439 4.4586186402 reducing max timestep prior to age target 439 2.8981021161302567D+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 -15.954590 -99.000000 -6.894049 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt rel_E_err 1.8038560463034675D-13 log_rel_run_E_err -10.1410989093129462 (age_target - star_age)/age_sigma 440 4.3595382260 reducing max timestep prior to age target 440 2.8336998468829155D+07 (age_target - star_age)/age_sigma 441 4.2604578117 reducing max timestep prior to age target 441 2.7692975776355743D+07 (age_target - star_age)/age_sigma 442 4.1613773975 reducing max timestep prior to age target 442 2.7048953083882332D+07 (age_target - star_age)/age_sigma 443 4.0622969833 reducing max timestep prior to age target 443 2.6404930391408920D+07 (age_target - star_age)/age_sigma 444 3.9632165691 reducing max timestep prior to age target 444 2.5760907698935509D+07 (age_target - star_age)/age_sigma 445 3.8641361548 reducing max timestep prior to age target 445 2.5116885006462097D+07 (age_target - star_age)/age_sigma 446 3.7650557406 reducing max timestep prior to age target 446 2.4472862313988686D+07 (age_target - star_age)/age_sigma 447 3.6659753264 reducing max timestep prior to age target 447 2.3828839621515274D+07 (age_target - star_age)/age_sigma 448 3.5668949122 reducing max timestep prior to age target 448 2.3184816929041862D+07 (age_target - star_age)/age_sigma 449 3.4678144979 reducing max timestep prior to age target 449 2.2540794236568451D+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 -15.653560 -99.000000 -6.894198 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt rel_E_err 1.7909304322263953D-13 log_rel_run_E_err -10.1301138293625979 (age_target - star_age)/age_sigma 450 3.3687340837 reducing max timestep prior to age target 450 2.1896771544095039D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2696536695 reducing max timestep prior to age target 451 2.1252748851621628D+07 (age_target - star_age)/age_sigma 452 3.1705732553 reducing max timestep prior to age target 452 2.0608726159148216D+07 (age_target - star_age)/age_sigma 453 3.0714928410 reducing max timestep prior to age target 453 1.9964703466674805D+07 (age_target - star_age)/age_sigma 454 2.9724124268 reducing max timestep prior to age target 454 1.9320680774201393D+07 (age_target - star_age)/age_sigma 455 2.8733320126 reducing max timestep prior to age target 455 1.8676658081727982D+07 (age_target - star_age)/age_sigma 456 2.7742515983 reducing max timestep prior to age target 456 1.8032635389254570D+07 (age_target - star_age)/age_sigma 457 2.6751711841 reducing max timestep prior to age target 457 1.7388612696781158D+07 (age_target - star_age)/age_sigma 458 2.5760907699 reducing max timestep prior to age target 458 1.6744590004307747D+07 (age_target - star_age)/age_sigma 459 2.4770103557 reducing max timestep prior to age target 459 1.6100567311834335D+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 -15.954590 -99.000000 -6.894347 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt rel_E_err 1.9045464933894915D-13 log_rel_run_E_err -10.1193550514025574 (age_target - star_age)/age_sigma 460 2.3779299414 reducing max timestep prior to age target 460 1.5456544619360924D+07 (age_target - star_age)/age_sigma 461 2.2788495272 reducing max timestep prior to age target 461 1.4812521926887512D+07 (age_target - star_age)/age_sigma 462 2.1797691130 reducing max timestep prior to age target 462 1.4168499234414101D+07 (age_target - star_age)/age_sigma 463 2.0806886988 reducing max timestep prior to age target 463 1.3524476541940689D+07 (age_target - star_age)/age_sigma 464 1.9816082845 reducing max timestep prior to age target 464 1.2880453849467278D+07 (age_target - star_age)/age_sigma 465 1.8825278703 reducing max timestep prior to age target 465 1.2236431156993866D+07 (age_target - star_age)/age_sigma 466 1.7834474561 reducing max timestep prior to age target 466 1.1592408464520454D+07 (age_target - star_age)/age_sigma 467 1.6843670419 reducing max timestep prior to age target 467 1.0948385772046089D+07 (age_target - star_age)/age_sigma 468 1.5852866276 reducing max timestep prior to age target 468 1.0304363079572678D+07 (age_target - star_age)/age_sigma 469 1.4862062134 reducing max timestep prior to age target 469 9.6603403870992661D+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 1.7457795524648237D-13 log_rel_run_E_err -10.1090353633420733 (age_target - star_age)/age_sigma 470 1.3871257992 reducing max timestep prior to age target 470 9.0163176946258545D+06 (age_target - star_age)/age_sigma 471 1.2880453849 reducing max timestep prior to age target 471 8.3722950021524429D+06 (age_target - star_age)/age_sigma 472 1.1889649707 reducing max timestep prior to age target 472 7.7282723096790314D+06 (age_target - star_age)/age_sigma 473 1.0898845565 reducing max timestep prior to age target 473 7.0842496172056198D+06 (age_target - star_age)/age_sigma 474 0.9908041423 reducing max timestep prior to age target 474 6.4402269247322083D+06 (age_target - star_age)/age_sigma 475 0.8917237280 reducing max timestep prior to age target 475 5.7962042322587967D+06 (age_target - star_age)/age_sigma 476 0.7926433138 reducing max timestep prior to age target 476 5.1521815397853851D+06 (age_target - star_age)/age_sigma 477 0.6935628996 remaining steps and years until age target 477 7 4.5081588473129272D+06 (age_target - star_age)/age_sigma 478 0.5944824854 reducing max timestep prior to age target 478 3.8641361548395157D+06 (age_target - star_age)/age_sigma 479 0.4954020711 reducing max timestep prior to age target 479 3.2201134623661041D+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 1.8786916295590161D-13 log_rel_run_E_err -10.0986459512829345 (age_target - star_age)/age_sigma 480 0.3963216569 reducing max timestep prior to age target 480 2.5760907698926926D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2972412427 reducing max timestep prior to age target 481 1.9320680774192810D+06 (age_target - star_age)/age_sigma 482 0.1981608285 reducing max timestep prior to age target 482 1.2880453849458694D+06 (age_target - star_age)/age_sigma 483 0.0990804142 remaining steps and years until age target 483 1 6.4402269247341156D+05 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 2.67 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 -99.000000 -99.000000 -6.894704 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt rel_E_err 2.0051994059581844D-13 log_rel_run_E_err -10.0945087161590976 Teff 5654.3575099518 radius 0.9944671034 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 30.6129453311 M_H 0.0137194191 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 188.2224593610 log_R -0.0024095786 delta_nu 142.6734830868 nu_max 3144.5557719822 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 333406.2784682307 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 "8f7f3a3" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251201" "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 3.3333875998556666E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615165515E+03 1.0010042019477079E+00 3.9078811584153271E-03 4.3590053513541853E-04 1.4131272100393792E+02 3.1134409185990198E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998556666E+05 0 0 0 0 0 0 0 4 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 8 3.3340627846823068E+05 1.0000000000000000E+00 2.6392348767531582E-01 6.8730947585953772E-02 2.1110729980010530E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.6543575099517684E+03 9.9446710335076605E-01 1.3719419060623858E-02 -2.4095786225367863E-03 1.4267348308679416E+02 3.1445557719821927E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3340627846823068E+05 0 0 0 0 0 0 0 1 3.3351283960191236E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383766992E+03 1.0231407131234238E+00 -1.7395981939735516E-03 9.9353665865795134E-03 1.3680762272705050E+02 2.9640776267829306E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191236E+05 0 0 0 0 0 0 0 3 3.3365606602482504E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368751E+03 1.0099970103007712E+00 2.9466215561576154E-02 4.3200882264055936E-03 1.3947582155333157E+02 3.0536692076803915E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482504E+05 0 0 0 0 0 0 0 7 3.3407039377752662E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770906477E+03 1.0465194169962895E+00 -6.8647778482025835E-03 1.9747290597412946E-02 1.3234565759146699E+02 2.8509534669589984E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377752662E+05 0 0 0 0 0 0 0 6 3.3418048986537295E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558238414E+03 1.0372797593388121E+00 -3.3936545784139877E-02 1.5895903497377413E-02 1.3402431816161439E+02 2.8735532959069042E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986537295E+05 0 0 0 0 0 0 0 2 3.3468070564325486E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272648E+03 1.0622782375814108E+00 -1.2788199776276491E-02 2.6238284372325182E-02 1.2938435093833905E+02 2.7294282123454223E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325486E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data DATE: 2025-12-01 TIME: 02:21:43 finished inlist_fast_newuoa_header DATE: 2025-12-01 TIME: 02:21:43 finished fast_newuoa run: test string matches after ./rn