DATE: 2025-10-09 TIME: 09:16:20 run inlist_fast_newuoa_header DATE: 2025-10-09 TIME: 09:16:20 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 9dea5ab WARNING: Failed to find colors namelist in file: inlist read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562812810010300D-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 1.8246321914822070D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692963882808436D-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 2.7771148467083191D-13 log_rel_run_E_err -11.5696554460222192 20 6.621787 4338.368 -4.903036 -4.903036 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 455 0 -3.4956E+00 6.621787 0.262629 -99.000000 -6.300785 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 1.8669E-03 0.156071 0.029257 -99.000000 -99.000000 -6.905564 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5275284011380211D-13 log_rel_run_E_err -11.2704460789104992 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 -20.470040 -99.000000 -6.906078 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7007488402680066D-13 log_rel_run_E_err -11.1009025937307193 40 6.621789 4338.951 -4.903035 -4.903035 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028130 454 0 -1.9119E+00 6.621789 0.262638 -99.000000 -6.300784 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 7.3439E-02 0.156074 0.029508 -99.000000 -99.000000 -6.905831 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4362616901831833D-13 log_rel_run_E_err -10.9790284247085648 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 2.4586125757839904D-13 log_rel_run_E_err -10.8825456569662435 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 -20.072100 -99.000000 -6.905090 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6094810703725671D-13 log_rel_run_E_err -10.8049330956146132 70 6.621790 4337.291 -4.903025 -4.903025 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028126 454 0 4.6351E-01 6.621790 0.262625 -99.000000 -6.300773 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 1.7444E+01 0.156078 0.028819 -20.470040 -99.000000 -6.905088 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6765283158425462D-13 log_rel_run_E_err -10.7382203455528629 80 6.621795 4337.286 -4.902971 -4.902971 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028101 454 0 1.2553E+00 6.621795 0.262620 -99.000000 -6.300719 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 1.0801E+02 0.156096 0.028805 -99.000000 -99.000000 -6.905079 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5405258381339454D-13 log_rel_run_E_err -10.6815072229574692 90 6.621825 4337.251 -4.902637 -4.902637 1.000000 1.000000 0.711274 0.000946 0.270000 -4.027948 454 0 2.0471E+00 6.621825 0.262585 -99.000000 -6.300386 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 2 6.6878E+02 0.156207 0.028721 -20.169010 -99.000000 -6.905021 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4956171610945261D-13 log_rel_run_E_err -10.6318752605254332 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.622010 4337.033 -4.900574 -4.900574 1.000000 1.000000 0.711274 0.000946 0.270000 -4.027000 454 0 2.8389E+00 6.622010 0.262368 -99.000000 -6.298322 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071946 2 4.1409E+03 0.156894 0.028200 -99.000000 -99.000000 -6.904666 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5055037550252191D-13 log_rel_run_E_err -10.5858529595079212 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.623149 4335.691 -4.887888 -4.887888 1.000000 1.000000 0.711274 0.000946 0.270000 -4.021153 454 0 3.6308E+00 6.623149 0.261035 -99.000000 -6.285635 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071991 2 2.5639E+04 0.161126 0.024997 -20.169010 -99.000000 -6.902474 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5977970507450058D-13 log_rel_run_E_err -10.5460514914646488 120 6.629865 4327.570 -4.812658 -4.812658 1.000000 1.000000 0.711274 0.000946 0.270000 -3.985727 454 0 4.4226E+00 6.629865 0.253108 -99.000000 -6.210400 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072280 3 1.5875E+05 0.186492 0.005886 -99.000000 -99.000000 -6.889335 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5985262610043294D-13 log_rel_run_E_err -10.5003423182270499 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 2.7622223396073588D-13 log_rel_run_E_err -10.2082284113409614 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 2.4664064952241959D-13 log_rel_run_E_err -10.2926160504930841 150 6.870414 4547.321 -2.235290 -2.235290 1.000000 1.000000 0.711257 0.000946 0.269993 -2.206973 473 0 6.0296E+00 6.870414 0.037617 -99.000000 -3.632067 -99.000000 0.000000 0.270017 0.008783 0.018725 0.098149 4 1.4781E+07 1.306737 -0.339049 -99.000000 -99.000000 -6.716472 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.1698871867223713D-13 log_rel_run_E_err -10.3294091009413691 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 1.6062203406318241D-13 log_rel_run_E_err -10.4736876034346018 (age_target - star_age)/age_sigma 169 694.4614868227 reducing max timestep prior to age target 169 4.5139996643474932D+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 1.9348634533476145D-13 log_rel_run_E_err -10.5054453879773178 (age_target - star_age)/age_sigma 176 680.1699322607 reducing max timestep prior to age target 176 4.4211045596944857D+09 (age_target - star_age)/age_sigma 179 665.7379904448 reducing max timestep prior to age target 179 4.3272969378911495D+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 1.9613280705237993D-13 log_rel_run_E_err -10.4818041989953876 (age_target - star_age)/age_sigma 181 650.6653338494 reducing max timestep prior to age target 181 4.2293246700209403D+09 (age_target - star_age)/age_sigma 182 640.7995949869 reducing max timestep prior to age target 182 4.1651973674149852D+09 (age_target - star_age)/age_sigma 184 616.6417644943 reducing max timestep prior to age target 184 4.0081714692128592D+09 (age_target - star_age)/age_sigma 185 604.5691995138 reducing max timestep prior to age target 185 3.9296997968393793D+09 (age_target - star_age)/age_sigma 186 592.7380858328 reducing max timestep prior to age target 186 3.8527975579133687D+09 (age_target - star_age)/age_sigma 187 581.1435944255 reducing max timestep prior to age target 187 3.7774333637658787D+09 (age_target - star_age)/age_sigma 188 569.7809928464 reducing max timestep prior to age target 188 3.7035764535013380D+09 (age_target - star_age)/age_sigma 189 558.6456432988 reducing max timestep prior to age target 189 3.6311966814420886D+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 1.9959564981296468D-13 log_rel_run_E_err -10.4588759831039848 (age_target - star_age)/age_sigma 190 547.7330007422 reducing max timestep prior to age target 190 3.5602645048240242D+09 (age_target - star_age)/age_sigma 191 537.0386110367 reducing max timestep prior to age target 191 3.4907509717383208D+09 (age_target - star_age)/age_sigma 192 526.5581091253 reducing max timestep prior to age target 192 3.4226277093143315D+09 (age_target - star_age)/age_sigma 193 516.2872172521 reducing max timestep prior to age target 193 3.3558669121388226D+09 (age_target - star_age)/age_sigma 194 506.2217432164 reducing max timestep prior to age target 194 3.2904413309068232D+09 (age_target - star_age)/age_sigma 195 496.3575786615 reducing max timestep prior to age target 195 3.2263242612994637D+09 (age_target - star_age)/age_sigma 196 486.6906973976 reducing max timestep prior to age target 196 3.1634895330842519D+09 (age_target - star_age)/age_sigma 197 477.2171537590 reducing max timestep prior to age target 197 3.1019114994333439D+09 (age_target - star_age)/age_sigma 198 467.9330809931 reducing max timestep prior to age target 198 3.0415650264554543D+09 (age_target - star_age)/age_sigma 199 458.8346896826 reducing max timestep prior to age target 199 2.9824254829371223D+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 1.8573340298804022D-13 log_rel_run_E_err -10.4371027449981657 (age_target - star_age)/age_sigma 200 449.9182661983 reducing max timestep prior to age target 200 2.9244687302891574D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.1801711837 reducing max timestep prior to age target 201 2.8676711126941514D+09 (age_target - star_age)/age_sigma 202 432.6168380694 reducing max timestep prior to age target 202 2.8120094474510460D+09 (age_target - star_age)/age_sigma 203 424.2247716174 reducing max timestep prior to age target 203 2.7574610155128021D+09 (age_target - star_age)/age_sigma 204 416.0005464944 reducing max timestep prior to age target 204 2.7040035522133231D+09 (age_target - star_age)/age_sigma 205 407.9408058738 reducing max timestep prior to age target 205 2.6516152381798339D+09 (age_target - star_age)/age_sigma 206 400.0422600657 reducing max timestep prior to age target 206 2.6002746904270144D+09 (age_target - star_age)/age_sigma 207 392.3016851737 reducing max timestep prior to age target 207 2.5499609536292515D+09 (age_target - star_age)/age_sigma 208 384.7159217796 reducing max timestep prior to age target 208 2.5006534915674438D+09 (age_target - star_age)/age_sigma 209 377.2818736534 reducing max timestep prior to age target 209 2.4523321787468719D+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 2.0633268671492995D-13 log_rel_run_E_err -10.4159135329179033 (age_target - star_age)/age_sigma 210 369.9965064896 reducing max timestep prior to age target 210 2.4049772921827116D+09 (age_target - star_age)/age_sigma 211 362.8568466692 reducing max timestep prior to age target 211 2.3585695033498349D+09 (age_target - star_age)/age_sigma 212 355.8599800452 reducing max timestep prior to age target 212 2.3130898702936153D+09 (age_target - star_age)/age_sigma 213 349.0030507536 reducing max timestep prior to age target 213 2.2685198298985200D+09 (age_target - star_age)/age_sigma 214 342.2832600479 reducing max timestep prior to age target 214 2.2248411903113270D+09 (age_target - star_age)/age_sigma 215 335.6978651563 reducing max timestep prior to age target 215 2.1820361235158782D+09 (age_target - star_age)/age_sigma 217 322.7904911687 reducing max timestep prior to age target 217 2.0981381925967979D+09 (age_target - star_age)/age_sigma 218 316.4658779148 reducing max timestep prior to age target 218 2.0570282064464483D+09 (age_target - star_age)/age_sigma 219 310.2677569260 reducing max timestep prior to age target 219 2.0167404200191054D+09 220 7.160429 5640.405 -0.074267 -0.074267 1.000000 1.000000 0.516686 0.004873 0.253541 -1.602060 513 0 7.5964E+00 7.160429 -0.017065 -44.861720 -1.727167 -99.000000 0.000000 0.463708 0.008843 0.017705 0.100648 10 2.5922E+09 2.044804 -0.074195 -15.352530 -99.000000 -6.864196 0.000000 0.000016 0.001987 0.019606 0.000E+00 max_dt rel_E_err 1.8218081748548394D-13 log_rel_run_E_err -10.3964010530293613 (age_target - star_age)/age_sigma 220 304.1935983570 reducing max timestep prior to age target 220 1.9772583893203096D+09 (age_target - star_age)/age_sigma 221 298.2409229593 reducing max timestep prior to age target 221 1.9385659992354903D+09 (age_target - star_age)/age_sigma 222 292.4073010696 reducing max timestep prior to age target 222 1.9006474569523668D+09 (age_target - star_age)/age_sigma 223 286.6903516177 reducing max timestep prior to age target 223 1.8634872855149059D+09 (age_target - star_age)/age_sigma 224 281.0877411548 reducing max timestep prior to age target 224 1.8270703175061946D+09 (age_target - star_age)/age_sigma 225 275.5971829012 reducing max timestep prior to age target 225 1.7913816888576570D+09 (age_target - star_age)/age_sigma 226 270.2164358126 reducing max timestep prior to age target 226 1.7564068327820902D+09 (age_target - star_age)/age_sigma 227 264.9433036659 reducing max timestep prior to age target 227 1.7221314738280349D+09 (age_target - star_age)/age_sigma 228 259.7756341620 reducing max timestep prior to age target 228 1.6885416220530610D+09 (age_target - star_age)/age_sigma 229 254.7113180482 reducing max timestep prior to age target 229 1.6556235673135862D+09 230 7.165666 5648.192 -0.063027 -0.063027 1.000000 1.000000 0.488307 0.004915 0.251320 -1.589186 512 0 7.5087E+00 7.165666 -0.012644 -44.496276 -1.711756 -99.000000 0.000000 0.492045 0.008829 0.017567 0.103283 10 2.9461E+09 2.066060 -0.062957 -15.255620 -99.000000 -6.872147 0.000000 0.000017 0.001992 0.019647 0.000E+00 max_dt rel_E_err 1.9405721450327010D-13 log_rel_run_E_err -10.3779296162125014 (age_target - star_age)/age_sigma 230 249.7482882568 reducing max timestep prior to age target 230 1.6233638736689010D+09 (age_target - star_age)/age_sigma 231 244.8845190611 reducing max timestep prior to age target 231 1.5917493738971095D+09 (age_target - star_age)/age_sigma 232 240.1180252493 reducing max timestep prior to age target 232 1.5607671641207538D+09 (age_target - star_age)/age_sigma 233 235.4468613138 reducing max timestep prior to age target 233 1.5304045985399256D+09 (age_target - star_age)/age_sigma 234 230.8691206570 reducing max timestep prior to age target 234 1.5006492842707138D+09 (age_target - star_age)/age_sigma 235 226.3829348134 reducing max timestep prior to age target 235 1.4714890762868857D+09 (age_target - star_age)/age_sigma 236 221.9864726866 reducing max timestep prior to age target 236 1.4429120724627342D+09 (age_target - star_age)/age_sigma 237 217.6779398023 reducing max timestep prior to age target 237 1.4149066087150664D+09 (age_target - star_age)/age_sigma 238 213.4555775757 reducing max timestep prior to age target 238 1.3874612542423515D+09 (age_target - star_age)/age_sigma 239 209.3176625937 reducing max timestep prior to age target 239 1.3605648068590908D+09 240 7.170115 5654.413 -0.053654 -0.053654 1.000000 1.000000 0.464861 0.004956 0.249558 -1.578185 515 0 7.4209E+00 7.170115 -0.008915 -44.191056 -1.698424 -99.000000 0.000000 0.515459 0.008809 0.017458 0.105600 10 3.2353E+09 2.084061 -0.053586 -99.000000 -99.000000 -6.878799 0.000000 0.000017 0.001996 0.019680 0.000E+00 max_dt rel_E_err 1.8967407744856679D-13 log_rel_run_E_err -10.3598158255058959 (age_target - star_age)/age_sigma 240 205.2625059113 reducing max timestep prior to age target 240 1.3342062884234958D+09 (age_target - star_age)/age_sigma 241 201.2884523626 reducing max timestep prior to age target 241 1.3083749403566122D+09 (age_target - star_age)/age_sigma 242 197.3938798848 reducing max timestep prior to age target 242 1.2830602192510667D+09 (age_target - star_age)/age_sigma 243 193.5771988566 reducing max timestep prior to age target 243 1.2582517925676317D+09 (age_target - star_age)/age_sigma 244 189.8368514489 reducing max timestep prior to age target 244 1.2339395344178653D+09 (age_target - star_age)/age_sigma 245 186.1713109894 reducing max timestep prior to age target 245 1.2101135214310951D+09 (age_target - star_age)/age_sigma 246 182.5790813391 reducing max timestep prior to age target 246 1.1867640287040596D+09 (age_target - star_age)/age_sigma 247 179.0586962818 reducing max timestep prior to age target 247 1.1638815258315649D+09 (age_target - star_age)/age_sigma 248 175.6087189256 reducing max timestep prior to age target 248 1.1414566730165200D+09 (age_target - star_age)/age_sigma 249 172.2277411166 reducing max timestep prior to age target 249 1.1194803172577758D+09 250 7.173870 5659.388 -0.045862 -0.045862 1.000000 1.000000 0.445516 0.004994 0.248034 -1.568847 515 0 7.3332E+00 7.173870 -0.005784 -43.936925 -1.686995 -99.000000 0.000000 0.534779 0.008786 0.017364 0.107617 10 3.4716E+09 2.099224 -0.045796 -99.000000 -99.000000 -6.884350 0.000000 0.000018 0.001999 0.019705 0.000E+00 max_dt rel_E_err 1.9135416334440132D-13 log_rel_run_E_err -10.3422873316995485 (age_target - star_age)/age_sigma 250 168.9143828637 reducing max timestep prior to age target 250 1.0979434886142068D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 252 162.4202006881 reducing max timestep prior to age target 252 1.0557313044728122D+09 (age_target - star_age)/age_sigma 253 159.2380514221 reducing max timestep prior to age target 253 1.0350473342435284D+09 (age_target - star_age)/age_sigma 254 156.1195451414 reducing max timestep prior to age target 254 1.0147770434188304D+09 (age_target - star_age)/age_sigma 255 153.0634089863 reducing max timestep prior to age target 255 9.9491215841062641D+08 (age_target - star_age)/age_sigma 256 150.0683955542 reducing max timestep prior to age target 256 9.7544457110258627D+08 (age_target - star_age)/age_sigma 257 147.1332823909 reducing max timestep prior to age target 257 9.5636633554070711D+08 (age_target - star_age)/age_sigma 258 144.2568714908 reducing max timestep prior to age target 258 9.3766966469006586D+08 (age_target - star_age)/age_sigma 259 141.4379888087 reducing max timestep prior to age target 259 9.1934692725643682D+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 -15.255620 -99.000000 -6.889026 0.000000 0.000018 0.002001 0.019725 0.000E+00 max_dt rel_E_err 1.8965357731262602D-13 log_rel_run_E_err -10.3253203159540661 (age_target - star_age)/age_sigma 260 138.6754837802 reducing max timestep prior to age target 260 9.0139064457148075D+08 (age_target - star_age)/age_sigma 261 135.9682288523 reducing max timestep prior to age target 261 8.8379348754022360D+08 (age_target - star_age)/age_sigma 262 133.3151190230 reducing max timestep prior to age target 262 8.6654827364959145D+08 (age_target - star_age)/age_sigma 263 130.7150713903 reducing max timestep prior to age target 263 8.4964796403677225D+08 (age_target - star_age)/age_sigma 264 128.1670247102 reducing max timestep prior to age target 264 8.3308566061620951D+08 (age_target - star_age)/age_sigma 265 125.6699389637 reducing max timestep prior to age target 265 8.1685460326405811D+08 (age_target - star_age)/age_sigma 266 123.2227949321 reducing max timestep prior to age target 266 8.0094816705894947D+08 (age_target - star_age)/age_sigma 267 120.8245937812 reducing max timestep prior to age target 267 7.8535985957794285D+08 (age_target - star_age)/age_sigma 268 118.4743566533 reducing max timestep prior to age target 268 7.7008331824655676D+08 (age_target - star_age)/age_sigma 269 116.1711242680 reducing max timestep prior to age target 269 7.5511230774179792D+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 -15.954590 -99.000000 -6.892913 0.000000 0.000018 0.002003 0.019740 0.000E+00 max_dt rel_E_err 1.8649809396068450D-13 log_rel_run_E_err -10.3091972856454337 (age_target - star_age)/age_sigma 270 113.9139565303 reducing max timestep prior to age target 270 7.4044071744713449D+08 (age_target - star_age)/age_sigma 271 111.7019321474 reducing max timestep prior to age target 271 7.2606255895836449D+08 (age_target - star_age)/age_sigma 272 109.5341482522 reducing max timestep prior to age target 272 7.1197196363936996D+08 (age_target - star_age)/age_sigma 273 107.4097200349 reducing max timestep prior to age target 273 6.9816318022675467D+08 (age_target - star_age)/age_sigma 274 105.3277803819 reducing max timestep prior to age target 274 6.8463057248239279D+08 (age_target - star_age)/age_sigma 275 103.2874795220 reducing max timestep prior to age target 275 6.7136861689291716D+08 (age_target - star_age)/age_sigma 276 101.2879846793 reducing max timestep prior to age target 276 6.5837190041523123D+08 (age_target - star_age)/age_sigma 277 99.3284797334 reducing max timestep prior to age target 277 6.4563511826709938D+08 (age_target - star_age)/age_sigma 278 97.4081648865 reducing max timestep prior to age target 278 6.3315307176192951D+08 (age_target - star_age)/age_sigma 279 95.5262563364 reducing max timestep prior to age target 279 6.2092066618686342D+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 9 3.9606E+09 2.132052 -0.029296 -15.954590 -99.000000 -6.896095 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.9875104482177806D-13 log_rel_run_E_err -10.2927655543131262 (age_target - star_age)/age_sigma 280 93.6819859574 reducing max timestep prior to age target 280 6.0893290872329855D+08 (age_target - star_age)/age_sigma 281 91.8746009860 reducing max timestep prior to age target 281 5.9718490640900517D+08 (age_target - star_age)/age_sigma 282 90.1033637140 reducing max timestep prior to age target 282 5.8567186414099741D+08 (age_target - star_age)/age_sigma 283 88.3675511874 reducing max timestep prior to age target 283 5.7438908271834946D+08 (age_target - star_age)/age_sigma 284 86.6664549114 reducing max timestep prior to age target 284 5.6333195692415524D+08 (age_target - star_age)/age_sigma 285 84.9993805609 reducing max timestep prior to age target 285 5.5249597364584494D+08 (age_target - star_age)/age_sigma 287 81.7319148339 reducing max timestep prior to age target 287 5.3125744642035627D+08 (age_target - star_age)/age_sigma 288 80.1308566277 reducing max timestep prior to age target 288 5.2085056807986736D+08 (age_target - star_age)/age_sigma 289 78.5618195856 reducing max timestep prior to age target 289 5.1065182730618763D+08 290 7.183903 5671.155 -0.025640 -0.025640 1.000000 1.000000 0.395759 0.005121 0.244356 -1.543695 522 0 6.9998E+00 7.183903 0.002520 -43.272676 -1.655741 -99.000000 0.000000 0.584480 0.008692 0.017135 0.113297 6 4.0688E+09 2.139607 -0.025580 -15.653560 -99.000000 -6.898729 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.8306413866140764D-13 log_rel_run_E_err -10.2771189005638846 (age_target - star_age)/age_sigma 290 77.0241632843 reducing max timestep prior to age target 290 5.0065706134798145D+08 (age_target - star_age)/age_sigma 291 75.5172601091 reducing max timestep prior to age target 291 4.9086219070893955D+08 (age_target - star_age)/age_sigma 292 74.0404949973 reducing max timestep prior to age target 292 4.8126321748267841D+08 (age_target - star_age)/age_sigma 293 72.5932651878 reducing max timestep prior to age target 293 4.7185622372094250D+08 (age_target - star_age)/age_sigma 294 71.1749799745 reducing max timestep prior to age target 294 4.6263736983444118D+08 (age_target - star_age)/age_sigma 295 69.7850604655 reducing max timestep prior to age target 295 4.5360289302567005D+08 (age_target - star_age)/age_sigma 296 68.4229393466 reducing max timestep prior to age target 296 4.4474910575307417D+08 (age_target - star_age)/age_sigma 297 67.0880606501 reducing max timestep prior to age target 297 4.3607239422593069D+08 (age_target - star_age)/age_sigma 298 65.7798795276 reducing max timestep prior to age target 298 4.2756921692932940D+08 (age_target - star_age)/age_sigma 299 64.4978620275 reducing max timestep prior to age target 299 4.1923610317866039D+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 -99.000000 -99.000000 -6.900918 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.7039777170333727D-13 log_rel_run_E_err -10.2620221667038223 (age_target - star_age)/age_sigma 300 63.2414848774 reducing max timestep prior to age target 300 4.1106965170300484D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0102352703 reducing max timestep prior to age target 301 4.0306652925686264D+08 (age_target - star_age)/age_sigma 302 60.8036106553 reducing max timestep prior to age target 302 3.9522346925964308D+08 (age_target - star_age)/age_sigma 303 59.6211185327 reducing max timestep prior to age target 303 3.8753727046236753D+08 (age_target - star_age)/age_sigma 304 58.4622762525 reducing max timestep prior to age target 304 3.8000479564103794D+08 (age_target - star_age)/age_sigma 305 57.3266108179 reducing max timestep prior to age target 305 3.7262297031613445D+08 (age_target - star_age)/age_sigma 306 56.2136586920 reducing max timestep prior to age target 306 3.6538878149772978D+08 (age_target - star_age)/age_sigma 307 55.1229656086 reducing max timestep prior to age target 307 3.5829927645569229D+08 (age_target - star_age)/age_sigma 308 54.0540863868 reducing max timestep prior to age target 308 3.5135156151449633D+08 (age_target - star_age)/age_sigma 309 53.0065847496 reducing max timestep prior to age target 309 3.4454280087212420D+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 -15.954590 -99.000000 -6.902721 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.9058714023426981D-13 log_rel_run_E_err -10.2474064210074598 (age_target - star_age)/age_sigma 310 51.9800331450 reducing max timestep prior to age target 310 3.3787021544259930D+08 (age_target - star_age)/age_sigma 311 50.9740125726 reducing max timestep prior to age target 311 3.3133108172166491D+08 (age_target - star_age)/age_sigma 312 49.9881124116 reducing max timestep prior to age target 312 3.2492273067514944D+08 (age_target - star_age)/age_sigma 313 49.0219302538 reducing max timestep prior to age target 313 3.1864254664956427D+08 (age_target - star_age)/age_sigma 314 48.0750717392 reducing max timestep prior to age target 314 3.1248796630449057D+08 (age_target - star_age)/age_sigma 315 47.1471503948 reducing max timestep prior to age target 315 3.0645647756631851D+08 (age_target - star_age)/age_sigma 316 46.2377874774 reducing max timestep prior to age target 316 3.0054561860290956D+08 (age_target - star_age)/age_sigma 317 45.3466118183 reducing max timestep prior to age target 317 2.9475297681876898D+08 (age_target - star_age)/age_sigma 318 44.4732596724 reducing max timestep prior to age target 318 2.8907618787031126D+08 (age_target - star_age)/age_sigma 319 43.6173745694 reducing max timestep prior to age target 319 2.8351293470082235D+08 320 7.187860 5675.182 -0.017915 -0.017915 1.000000 1.000000 0.376862 0.005182 0.242980 -1.533760 522 0 6.7366E+00 7.187860 0.005764 -43.016019 -1.643145 -99.000000 0.000000 0.603359 0.008639 0.017049 0.115660 5 4.2914E+09 2.155456 -0.017858 -99.000000 -99.000000 -6.904202 0.000000 0.000020 0.002009 0.019779 0.000E+00 max_dt rel_E_err 2.0182537594269271D-13 log_rel_run_E_err -10.2331353393897153 (age_target - star_age)/age_sigma 321 41.9398397675 reducing max timestep prior to age target 321 2.7260895848862457D+08 (age_target - star_age)/age_sigma 322 41.1178477146 reducing max timestep prior to age target 322 2.6726601014464760D+08 (age_target - star_age)/age_sigma 323 40.3122955027 reducing max timestep prior to age target 323 2.6202992076755047D+08 (age_target - star_age)/age_sigma 324 39.5228543351 reducing max timestep prior to age target 324 2.5689855317799568D+08 (age_target - star_age)/age_sigma 325 38.7492019908 reducing max timestep prior to age target 325 2.5186981294023132D+08 (age_target - star_age)/age_sigma 326 37.9910226934 reducing max timestep prior to age target 326 2.4694164750722218D+08 (age_target - star_age)/age_sigma 327 37.2480069820 reducing max timestep prior to age target 327 2.4211204538287354D+08 (age_target - star_age)/age_sigma 328 36.5198515848 reducing max timestep prior to age target 328 2.3737903530101204D+08 (age_target - star_age)/age_sigma 329 35.8062592955 reducing max timestep prior to age target 329 2.3274068542078781D+08 330 7.188764 5676.059 -0.016170 -0.016170 1.000000 1.000000 0.372600 0.005198 0.242666 -1.531495 522 0 6.6576E+00 7.188764 0.006503 -42.957777 -1.640246 -99.000000 0.000000 0.607618 0.008625 0.017029 0.116210 5 4.3413E+09 2.159068 -0.016113 -15.653560 -99.000000 -6.905439 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.8238619732529725D-13 log_rel_run_E_err -10.2192808302633278 (age_target - star_age)/age_sigma 330 35.1069388520 reducing max timestep prior to age target 330 2.2819510253816700D+08 (age_target - star_age)/age_sigma 331 34.4216048174 reducing max timestep prior to age target 331 2.2374043131319904D+08 (age_target - star_age)/age_sigma 332 33.7499774635 reducing max timestep prior to age target 332 2.1937485351273060D+08 (age_target - star_age)/age_sigma 333 33.0917826567 reducing max timestep prior to age target 333 2.1509658726827145D+08 (age_target - star_age)/age_sigma 334 32.4467517460 reducing max timestep prior to age target 334 2.1090388634870243D+08 (age_target - star_age)/age_sigma 335 31.8146214535 reducing max timestep prior to age target 335 2.0679503944752407D+08 (age_target - star_age)/age_sigma 336 31.1951337668 reducing max timestep prior to age target 336 2.0276836948436928D+08 (age_target - star_age)/age_sigma 337 30.5880358339 reducing max timestep prior to age target 337 1.9882223292047787D+08 (age_target - star_age)/age_sigma 338 29.9930798597 reducing max timestep prior to age target 338 1.9495501908786392D+08 (age_target - star_age)/age_sigma 339 29.4100230049 reducing max timestep prior to age target 339 1.9116514953190231D+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 1.8533194553111193D-13 log_rel_run_E_err -10.2058883846558395 (age_target - star_age)/age_sigma 340 28.8386272872 reducing max timestep prior to age target 340 1.8745107736705971D+08 (age_target - star_age)/age_sigma 341 28.2786594839 reducing max timestep prior to age target 341 1.8381128664551449D+08 (age_target - star_age)/age_sigma 342 27.7298910367 reducing max timestep prior to age target 342 1.8024429173839951D+08 (age_target - star_age)/age_sigma 343 27.1920979584 reducing max timestep prior to age target 343 1.7674863672942734D+08 (age_target - star_age)/age_sigma 344 26.6650607416 reducing max timestep prior to age target 344 1.7332289482063389D+08 (age_target - star_age)/age_sigma 345 26.1485642692 reducing max timestep prior to age target 345 1.6996566775001717D+08 (age_target - star_age)/age_sigma 346 25.6423977263 reducing max timestep prior to age target 346 1.6667558522081280D+08 (age_target - star_age)/age_sigma 347 25.1463545142 reducing max timestep prior to age target 347 1.6345130434219265D+08 (age_target - star_age)/age_sigma 348 24.6602321663 reducing max timestep prior to age target 348 1.6029150908114433D+08 (age_target - star_age)/age_sigma 349 24.1838322654 reducing max timestep prior to age target 349 1.5719490972531700D+08 350 7.190118 5677.340 -0.013569 -0.013569 1.000000 1.000000 0.366252 0.005221 0.242204 -1.528104 522 0 6.4821E+00 7.190118 0.007607 -42.870787 -1.635888 -99.000000 0.000000 0.613961 0.008604 0.017001 0.117041 5 4.4153E+09 2.164473 -0.013514 -15.352530 -99.000000 -6.907280 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.8040298739910262D-13 log_rel_run_E_err -10.1930915863182676 (age_target - star_age)/age_sigma 350 23.7169603626 reducing max timestep prior to age target 350 1.5416024235660648D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2594258977 reducing max timestep prior to age target 351 1.5118626833526993D+08 (age_target - star_age)/age_sigma 352 22.8110421222 reducing max timestep prior to age target 352 1.4827177379436016D+08 (age_target - star_age)/age_sigma 353 22.3716260222 reducing max timestep prior to age target 353 1.4541556914426899D+08 (age_target - star_age)/age_sigma 354 21.9409982442 reducing max timestep prior to age target 354 1.4261648858717918D+08 (age_target - star_age)/age_sigma 355 21.5189830217 reducing max timestep prior to age target 355 1.3987338964123154D+08 (age_target - star_age)/age_sigma 357 20.6918331857 reducing max timestep prior to age target 357 1.3449691570717335D+08 (age_target - star_age)/age_sigma 358 20.2865297661 reducing max timestep prior to age target 358 1.3186244347948456D+08 (age_target - star_age)/age_sigma 359 19.8893324148 reducing max timestep prior to age target 359 1.2928066069635010D+08 360 7.190623 5677.808 -0.012603 -0.012603 1.000000 1.000000 0.363895 0.005230 0.242035 -1.526840 522 0 6.4031E+00 7.190623 0.008018 -42.838421 -1.634258 -99.000000 0.000000 0.616315 0.008596 0.016990 0.117354 5 4.4427E+09 2.166487 -0.012548 -99.000000 -99.000000 -6.907962 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.8059191083841196D-13 log_rel_run_E_err -10.1805176764470691 (age_target - star_age)/age_sigma 360 19.5000790106 reducing max timestep prior to age target 360 1.2675051356887817D+08 (age_target - star_age)/age_sigma 361 19.1186106745 reducing max timestep prior to age target 361 1.2427096938395596D+08 (age_target - star_age)/age_sigma 362 18.7447717050 reducing max timestep prior to age target 362 1.2184101608273220D+08 (age_target - star_age)/age_sigma 363 18.3784095150 reducing max timestep prior to age target 363 1.1945966184753227D+08 (age_target - star_age)/age_sigma 364 18.0193745688 reducing max timestep prior to age target 364 1.1712593469703674D+08 (age_target - star_age)/age_sigma 365 17.6675203215 reducing max timestep prior to age target 365 1.1483888208955097D+08 (age_target - star_age)/age_sigma 366 17.3227031591 reducing max timestep prior to age target 366 1.1259757053421497D+08 (age_target - star_age)/age_sigma 367 16.9847823400 reducing max timestep prior to age target 367 1.1040108520998573D+08 (age_target - star_age)/age_sigma 368 16.6536199373 reducing max timestep prior to age target 368 1.0824852959224129D+08 (age_target - star_age)/age_sigma 369 16.3290807826 reducing max timestep prior to age target 369 1.0613902508685207D+08 370 7.191042 5678.192 -0.011803 -0.011803 1.000000 1.000000 0.361943 0.005238 0.241895 -1.525790 522 0 6.3154E+00 7.191042 0.008359 -42.811575 -1.632903 -99.000000 0.000000 0.618266 0.008589 0.016981 0.117614 5 4.4654E+09 2.168159 -0.011748 -99.000000 -99.000000 -6.908527 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.8312736892316405D-13 log_rel_run_E_err -10.1684840890537256 (age_target - star_age)/age_sigma 370 16.0110324110 reducing max timestep prior to age target 370 1.0407171067156982D+08 (age_target - star_age)/age_sigma 371 15.6993450069 reducing max timestep prior to age target 371 1.0204574254459381D+08 (age_target - star_age)/age_sigma 372 15.3938913508 reducing max timestep prior to age target 372 1.0006029378015709D+08 (age_target - star_age)/age_sigma 373 15.0945467678 reducing max timestep prior to age target 373 9.8114553991008759D+07 (age_target - star_age)/age_sigma 374 14.8011890766 reducing max timestep prior to age target 374 9.6207728997643471D+07 (age_target - star_age)/age_sigma 375 14.5136985391 reducing max timestep prior to age target 375 9.4339040504145622D+07 (age_target - star_age)/age_sigma 376 14.2319578124 reducing max timestep prior to age target 376 9.2507725780518532D+07 (age_target - star_age)/age_sigma 377 13.9558519002 reducing max timestep prior to age target 377 9.0713037351363182D+07 (age_target - star_age)/age_sigma 378 13.6852681063 reducing max timestep prior to age target 378 8.8954242690791130D+07 (age_target - star_age)/age_sigma 379 13.4200959882 reducing max timestep prior to age target 379 8.7230623923430443D+07 380 7.191386 5678.505 -0.011148 -0.011148 1.000000 1.000000 0.360346 0.005244 0.241781 -1.524930 522 0 6.2277E+00 7.191386 0.008638 -42.789595 -1.631791 -99.000000 0.000000 0.619862 0.008583 0.016974 0.117828 5 4.4840E+09 2.169529 -0.011094 -15.653560 -99.000000 -6.908990 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.8481438764378047D-13 log_rel_run_E_err -10.1567022878386357 (age_target - star_age)/age_sigma 380 13.1602273125 reducing max timestep prior to age target 380 8.5541477531416893D+07 (age_target - star_age)/age_sigma 381 12.9055560103 reducing max timestep prior to age target 381 8.3886114067243576D+07 (age_target - star_age)/age_sigma 382 12.6559781342 reducing max timestep prior to age target 382 8.2263857872353554D+07 (age_target - star_age)/age_sigma 383 12.4113918156 reducing max timestep prior to age target 383 8.0674046801362038D+07 (age_target - star_age)/age_sigma 384 12.1716972234 reducing max timestep prior to age target 384 7.9116031951789856D+07 (age_target - star_age)/age_sigma 385 11.9367965230 reducing max timestep prior to age target 385 7.7589177399209023D+07 (age_target - star_age)/age_sigma 386 11.7065938366 reducing max timestep prior to age target 386 7.6092859937679291D+07 (age_target - star_age)/age_sigma 387 11.4809952039 reducing max timestep prior to age target 387 7.4626468825381279D+07 (age_target - star_age)/age_sigma 388 11.2599085439 reducing max timestep prior to age target 388 7.3189405535328865D+07 (age_target - star_age)/age_sigma 389 11.0432436171 reducing max timestep prior to age target 389 7.1781083511076927D+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 -15.954590 -99.000000 -6.909369 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7500718914767383D-13 log_rel_run_E_err -10.1449970589246110 (age_target - star_age)/age_sigma 391 10.6185803605 reducing max timestep prior to age target 391 6.9020772343544006D+07 (age_target - star_age)/age_sigma 392 10.4104953648 reducing max timestep prior to age target 392 6.7668219871453285D+07 (age_target - star_age)/age_sigma 393 10.2065720690 reducing max timestep prior to age target 393 6.6342718448803902D+07 (age_target - star_age)/age_sigma 394 10.0067272392 reducing max timestep prior to age target 394 6.5043727054607391D+07 (age_target - star_age)/age_sigma 395 9.8108793059 reducing max timestep prior to age target 395 6.3770715488295555D+07 (age_target - star_age)/age_sigma 396 9.6189483313 reducing max timestep prior to age target 396 6.2523164153308868D+07 (age_target - star_age)/age_sigma 397 9.4308559762 reducing max timestep prior to age target 397 6.1300563845022202D+07 (age_target - star_age)/age_sigma 398 9.2465254681 reducing max timestep prior to age target 398 6.0102415542901993D+07 (age_target - star_age)/age_sigma 399 9.0658815703 reducing max timestep prior to age target 399 5.8928230206823349D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.191903 5678.974 -0.010164 -0.010164 1.000000 1.000000 0.357950 0.005254 0.241611 -1.523638 523 0 6.0610E+00 7.191903 0.009058 -42.756575 -1.630116 -99.000000 0.000000 0.622256 0.008574 0.016964 0.118151 4 4.5117E+09 2.171587 -0.010111 -15.954590 -99.000000 -6.909684 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.9820176644198253D-13 log_rel_run_E_err -10.1335132258769569 (age_target - star_age)/age_sigma 400 8.8888505504 reducing max timestep prior to age target 400 5.7777528577466011D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7153601509 reducing max timestep prior to age target 401 5.6649840980696678D+07 (age_target - star_age)/age_sigma 402 8.5453395594 reducing max timestep prior to age target 402 5.5544707135862350D+07 (age_target - star_age)/age_sigma 403 8.3787193797 reducing max timestep prior to age target 403 5.4461675967925072D+07 (age_target - star_age)/age_sigma 404 8.2154316036 reducing max timestep prior to age target 404 5.3400305423346519D+07 (age_target - star_age)/age_sigma 405 8.0554095830 reducing max timestep prior to age target 405 5.2360162289659500D+07 (age_target - star_age)/age_sigma 406 7.8985880029 reducing max timestep prior to age target 406 5.1340822018646240D+07 (age_target - star_age)/age_sigma 407 7.7449028543 reducing max timestep prior to age target 407 5.0341868553052902D+07 (age_target - star_age)/age_sigma 408 7.5942914087 reducing max timestep prior to age target 408 4.9362894156771660D+07 (age_target - star_age)/age_sigma 409 7.4466921921 reducing max timestep prior to age target 409 4.8403499248415947D+07 410 7.192095 5679.142 -0.009800 -0.009800 1.000000 1.000000 0.357059 0.005258 0.241548 -1.523156 522 0 5.9732E+00 7.192095 0.009214 -42.744292 -1.629492 -99.000000 0.000000 0.623146 0.008570 0.016960 0.118272 3 4.5220E+09 2.172354 -0.009748 -15.477469 -99.000000 -6.909940 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 2.0244984213934459D-13 log_rel_run_E_err -10.1226399605187556 (age_target - star_age)/age_sigma 410 7.3020449597 reducing max timestep prior to age target 410 4.7463292238227844D+07 (age_target - star_age)/age_sigma 411 7.1602906720 reducing max timestep prior to age target 411 4.6541889368243217D+07 (age_target - star_age)/age_sigma 412 7.0213714701 reducing max timestep prior to age target 412 4.5638914555658340D+07 (age_target - star_age)/age_sigma 413 6.8852306522 reducing max timestep prior to age target 413 4.4753999239324570D+07 (age_target - star_age)/age_sigma 414 6.7518126507 reducing max timestep prior to age target 414 4.3886782229317665D+07 (age_target - star_age)/age_sigma 415 6.6210630092 reducing max timestep prior to age target 415 4.3036909559511185D+07 (age_target - star_age)/age_sigma 416 6.4929283605 reducing max timestep prior to age target 416 4.2204034343100548D+07 (age_target - star_age)/age_sigma 417 6.3673564048 reducing max timestep prior to age target 417 4.1387816631018639D+07 (age_target - star_age)/age_sigma 418 6.2442958882 reducing max timestep prior to age target 418 4.0587923273178101D+07 (age_target - star_age)/age_sigma 419 6.1236965819 reducing max timestep prior to age target 419 3.9804027782494545D+07 420 7.192253 5679.282 -0.009502 -0.009502 1.000000 1.000000 0.356331 0.005261 0.241496 -1.522762 522 0 5.8855E+00 7.192253 0.009342 -42.734247 -1.628981 -99.000000 0.000000 0.623874 0.008568 0.016956 0.118370 3 4.5305E+09 2.172982 -0.009448 -99.000000 -99.000000 -6.910151 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.7987724933635903D-13 log_rel_run_E_err -10.1121159423145581 (age_target - star_age)/age_sigma 420 6.0055092618 reducing max timestep prior to age target 420 3.9035810201624870D+07 (age_target - star_age)/age_sigma 421 5.8896856881 reducing max timestep prior to age target 421 3.8282956972371101D+07 (age_target - star_age)/age_sigma 422 5.7761785858 reducing max timestep prior to age target 422 3.7545160807703972D+07 (age_target - star_age)/age_sigma 423 5.6649416256 reducing max timestep prior to age target 423 3.6822120566329956D+07 (age_target - star_age)/age_sigma 424 5.5559294046 reducing max timestep prior to age target 424 3.6113541129782677D+07 (age_target - star_age)/age_sigma 426 5.3422654514 reducing max timestep prior to age target 426 3.4724725434150696D+07 (age_target - star_age)/age_sigma 427 5.2375701144 reducing max timestep prior to age target 427 3.4044205743290901D+07 (age_target - star_age)/age_sigma 428 5.1349686840 reducing max timestep prior to age target 428 3.3377296446248055D+07 (age_target - star_age)/age_sigma 429 5.0344192823 reducing max timestep prior to age target 429 3.2723725335146904D+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 -15.352530 -99.000000 -6.910325 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9264323158306028D-13 log_rel_run_E_err -10.1017744179240143 (age_target - star_age)/age_sigma 430 4.9357051788 remaining steps and years until age target 430 50 3.2082083661909103D+07 (age_target - star_age)/age_sigma 431 4.8369910752 remaining steps and years until age target 431 49 3.1440441988671303D+07 (age_target - star_age)/age_sigma 432 4.7382769716 reducing max timestep prior to age target 432 3.0798800315432549D+07 (age_target - star_age)/age_sigma 433 4.6395628680 remaining steps and years until age target 433 47 3.0157158642194748D+07 (age_target - star_age)/age_sigma 434 4.5408487645 remaining steps and years until age target 434 46 2.9515516968956947D+07 (age_target - star_age)/age_sigma 435 4.4421346609 remaining steps and years until age target 435 45 2.8873875295719147D+07 (age_target - star_age)/age_sigma 436 4.3434205573 reducing max timestep prior to age target 436 2.8232233622480392D+07 (age_target - star_age)/age_sigma 437 4.2447064537 remaining steps and years until age target 437 43 2.7590591949242592D+07 (age_target - star_age)/age_sigma 438 4.1459923502 remaining steps and years until age target 438 42 2.6948950276004791D+07 (age_target - star_age)/age_sigma 439 4.0472782466 remaining steps and years until age target 439 41 2.6307308602766991D+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 1.8540015863234205D-13 log_rel_run_E_err -10.0917574618273669 (age_target - star_age)/age_sigma 440 3.9485641430 remaining steps and years until age target 440 40 2.5665666929529190D+07 (age_target - star_age)/age_sigma 441 3.8498500394 reducing max timestep prior to age target 441 2.5024025256290436D+07 (age_target - star_age)/age_sigma 442 3.7511359359 remaining steps and years until age target 442 38 2.4382383583052635D+07 (age_target - star_age)/age_sigma 443 3.6524218323 remaining steps and years until age target 443 37 2.3740741909814835D+07 (age_target - star_age)/age_sigma 444 3.5537077287 remaining steps and years until age target 444 36 2.3099100236577034D+07 (age_target - star_age)/age_sigma 445 3.4549936251 reducing max timestep prior to age target 445 2.2457458563338280D+07 (age_target - star_age)/age_sigma 446 3.3562795216 remaining steps and years until age target 446 34 2.1815816890100479D+07 (age_target - star_age)/age_sigma 447 3.2575654180 remaining steps and years until age target 447 33 2.1174175216862679D+07 (age_target - star_age)/age_sigma 448 3.1588513144 remaining steps and years until age target 448 32 2.0532533543624878D+07 (age_target - star_age)/age_sigma 449 3.0601372108 reducing max timestep prior to age target 449 1.9890891870386124D+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 -15.954590 -99.000000 -6.910645 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8731019082149427D-13 log_rel_run_E_err -10.0818407818652656 (age_target - star_age)/age_sigma 450 2.9614231073 remaining steps and years until age target 450 30 1.9249250197148323D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8627090037 reducing max timestep prior to age target 451 1.8607608523909569D+07 (age_target - star_age)/age_sigma 452 2.7639949001 remaining steps and years until age target 452 28 1.7965966850671768D+07 (age_target - star_age)/age_sigma 453 2.6652807965 reducing max timestep prior to age target 453 1.7324325177433014D+07 (age_target - star_age)/age_sigma 454 2.5665666930 remaining steps and years until age target 454 26 1.6682683504195213D+07 (age_target - star_age)/age_sigma 455 2.4678525894 reducing max timestep prior to age target 455 1.6041041830956459D+07 (age_target - star_age)/age_sigma 456 2.3691384858 remaining steps and years until age target 456 24 1.5399400157718658D+07 (age_target - star_age)/age_sigma 457 2.2704243822 reducing max timestep prior to age target 457 1.4757758484479904D+07 (age_target - star_age)/age_sigma 458 2.1717102787 remaining steps and years until age target 458 22 1.4116116811242104D+07 (age_target - star_age)/age_sigma 459 2.0729961751 reducing max timestep prior to age target 459 1.3474475138003349D+07 460 7.192743 5679.717 -0.008572 -0.008572 1.000000 1.000000 0.354064 0.005270 0.241337 -1.521532 522 0 5.8073E+00 7.192743 0.009740 -42.702957 -1.627387 -99.000000 0.000000 0.626139 0.008559 0.016946 0.118679 3 4.5567E+09 2.174937 -0.008519 -99.000000 -99.000000 -6.910805 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8496319396771905D-13 log_rel_run_E_err -10.0720369300624721 (age_target - star_age)/age_sigma 460 1.9742820715 remaining steps and years until age target 460 20 1.2832833464765549D+07 (age_target - star_age)/age_sigma 461 1.8755679679 reducing max timestep prior to age target 461 1.2191191791526794D+07 (age_target - star_age)/age_sigma 462 1.7768538644 remaining steps and years until age target 462 18 1.1549550118288994D+07 (age_target - star_age)/age_sigma 463 1.6781397608 reducing max timestep prior to age target 463 1.0907908445050240D+07 (age_target - star_age)/age_sigma 464 1.5794256572 remaining steps and years until age target 464 16 1.0266266771812439D+07 (age_target - star_age)/age_sigma 465 1.4807115536 reducing max timestep prior to age target 465 9.6246250985736847D+06 (age_target - star_age)/age_sigma 466 1.3819974501 remaining steps and years until age target 466 14 8.9829834253358841D+06 (age_target - star_age)/age_sigma 467 1.2832833465 reducing max timestep prior to age target 467 8.3413417520971298D+06 (age_target - star_age)/age_sigma 468 1.1845692429 remaining steps and years until age target 468 12 7.6997000788593292D+06 (age_target - star_age)/age_sigma 469 1.0858551393 reducing max timestep prior to age target 469 7.0580584056205750D+06 470 7.192864 5679.823 -0.008344 -0.008344 1.000000 1.000000 0.353509 0.005272 0.241297 -1.521230 522 0 5.8073E+00 7.192864 0.009838 -42.695283 -1.626996 -99.000000 0.000000 0.626695 0.008556 0.016944 0.118756 3 4.5631E+09 2.175417 -0.008292 -99.000000 -99.000000 -6.910965 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8815017595241793D-13 log_rel_run_E_err -10.0624799591665592 (age_target - star_age)/age_sigma 470 0.9871410358 remaining steps and years until age target 470 10 6.4164167323827744D+06 (age_target - star_age)/age_sigma 471 0.8884269322 reducing max timestep prior to age target 471 5.7747750591440201D+06 (age_target - star_age)/age_sigma 472 0.7897128286 remaining steps and years until age target 472 8 5.1331333859062195D+06 (age_target - star_age)/age_sigma 473 0.6909987250 reducing max timestep prior to age target 473 4.4914917126674652D+06 (age_target - star_age)/age_sigma 474 0.5922846215 remaining steps and years until age target 474 6 3.8498500394296646D+06 (age_target - star_age)/age_sigma 475 0.4935705179 reducing max timestep prior to age target 475 3.2082083661909103D+06 (age_target - star_age)/age_sigma 476 0.3948564143 remaining steps and years until age target 476 4 2.5665666929531097D+06 (age_target - star_age)/age_sigma 477 0.2961423107 reducing max timestep prior to age target 477 1.9249250197143555D+06 (age_target - star_age)/age_sigma 478 0.1974282072 reducing max timestep prior to age target 478 1.2832833464756012D+06 (age_target - star_age)/age_sigma 479 0.0987141036 remaining steps and years until age target 479 1 6.4164167323875427D+05 480 7.192984 5679.929 -0.008117 -0.008117 1.000000 1.000000 0.352953 0.005275 0.241258 -1.520928 522 0 5.8073E+00 7.192984 0.009935 -42.687603 -1.626603 -99.000000 0.000000 0.627250 0.008554 0.016941 0.118832 3 4.5695E+09 2.175897 -0.008064 -99.000000 -99.000000 -6.911126 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9559363492062493D-13 log_rel_run_E_err -10.0529737007120836 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333512.84 0.00 333512.84 save outputs/best.mod 480 save outputs/best.profile for model 480 save LOGS/profile11.data for model 480 have reached age_target save LOGS/profile11.data for model 480 solver retries 1 varcontrol dt limit 40 max increase dt limit 535 lgRho_cntr dt limit 19 model saved to final.mod save photos/x480 for model 480 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333512.84 0.00 333512.84 have reached age_target runtime (minutes), retries, steps 2.91 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 1.9559363492062493D-13 log_rel_run_E_err -10.0529737007120836 Teff 5679.9294383756 radius 1.0231407131 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 535.4926038535 M_H -0.0017395982 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 3.0262018932 log_R 0.0099353666 delta_nu 136.8076227271 nu_max 2964.0776267841 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 333512.8396019156 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 "9dea5ab" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251009" "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 3.3351283960191562E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383755896E+03 1.0231407131232713E+00 -1.7395981987816708E-03 9.9353665865147631E-03 1.3680762272707830E+02 2.9640776267841038E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191562E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.8350000000000003D-01 4.5000000000000001D-01 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562812810010300D-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 1.8246321914822070D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692963882808436D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 6.9812046894104329D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.8350000000000005D-05 initial_he4 2.8347165000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.630489 4379.911 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 0 -4.2874E+00 6.630489 0.258223 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 10 2.5959E-04 0.169401 0.037000 -20.771070 -99.000000 -6.905533 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6029995897124841D-13 log_rel_run_E_err -11.5773574002279691 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 2.6785824383517908D-13 log_rel_run_E_err -11.2717529904509295 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 -20.293948 -99.000000 -6.907161 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5882517141277220D-13 log_rel_run_E_err -11.0956717107991238 40 6.630489 4384.208 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 1 -2.2921E+00 6.630489 0.258237 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 2 3.2558E-02 0.169401 0.038732 -20.470040 -99.000000 -6.907300 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7357304337460379D-13 log_rel_run_E_err -10.9693853829207217 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 2.6546170691604583D-13 log_rel_run_E_err -10.8717284100680356 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 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3 1.1758E+00 0.169401 0.038724 -99.000000 -99.000000 -6.907293 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7781300919338996D-13 log_rel_run_E_err -10.7928293653037404 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 2.5587531795266472D-13 log_rel_run_E_err -10.7265365088048252 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 -20.293948 -99.000000 -6.907190 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7154337873281024D-13 log_rel_run_E_err -10.6679965995748933 90 6.630498 4383.807 -4.847969 -4.847969 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035115 458 1 1.6669E+00 6.630498 0.258190 -99.000000 -6.245715 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071722 10 2.7866E+02 0.169452 0.038480 -20.169010 -99.000000 -6.907082 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.1374788580362699D-13 log_rel_run_E_err -10.6163522378027544 __________________________________________________________________________________________________________________________________________________ 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 -99.000000 -99.000000 -6.906915 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.5183011083817667D-13 log_rel_run_E_err -10.5538711340222537 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.631019 4383.144 -4.841781 -4.841781 1.000000 1.000000 0.698120 0.000928 0.283500 -4.031971 458 1 3.2505E+00 6.631019 0.257531 -99.000000 -6.239527 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071754 2 1.0683E+04 0.171590 0.036899 -99.000000 -99.000000 -6.906027 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7460875936937914D-13 log_rel_run_E_err -10.4840614465831656 120 6.633763 4379.859 -4.809449 -4.809449 1.000000 1.000000 0.698120 0.000928 0.283500 -4.015419 458 1 4.0424E+00 6.633763 0.254107 -99.000000 -6.207192 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071921 2 6.6147E+04 0.182852 0.028749 -99.000000 -99.000000 -6.900603 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 5.0203874399490352D-14 log_rel_run_E_err -10.4553100646844630 130 6.649000 4360.562 -4.629262 -4.629262 1.000000 1.000000 0.698120 0.000928 0.283500 -3.919553 458 1 4.8342E+00 6.649000 0.234921 -99.000000 -6.026990 -99.000000 0.000000 0.283500 0.008620 0.018380 0.072950 3 4.0956E+05 0.247079 -0.017294 -19.867980 -99.000000 -6.869567 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 3.8871268701035977D-12 log_rel_run_E_err -10.3783488892291214 140 6.708913 4290.429 -3.920674 -3.920674 1.000000 1.000000 0.698119 0.000928 0.283500 -3.472432 464 1 5.6260E+00 6.708913 0.159560 -99.000000 -5.318307 -99.000000 0.000000 0.283501 0.008621 0.018380 0.078932 4 2.5359E+06 0.529493 -0.196184 -99.000000 -99.000000 -6.746359 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6841691125286888D-13 log_rel_run_E_err -10.2451708149887804 150 6.815648 4399.236 -2.774506 -2.774506 1.000000 1.000000 0.698113 0.000928 0.283497 -2.602706 470 1 5.8933E+00 6.815648 0.064683 -99.000000 -4.171715 -99.000000 0.000000 0.283508 0.008621 0.018379 0.092837 3 9.4753E+06 1.061104 -0.342432 -99.000000 -99.000000 -6.681717 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr rel_E_err 8.7905322148900941D-12 log_rel_run_E_err -10.1937994768725435 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 6.965414 5076.105 -1.468424 -1.468424 1.000000 1.000000 0.698065 0.000929 0.283485 -1.783995 488 1 5.9817E+00 6.965414 0.024509 -99.000000 -2.864819 -99.000000 0.000000 0.283555 0.008621 0.018379 0.101644 4 1.9578E+07 1.628439 -0.174165 -99.000000 -99.000000 -6.795712 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr rel_E_err 1.8294083874176353D-13 log_rel_run_E_err -10.3296549239034867 170 7.140020 5668.448 -0.118401 -0.118401 1.000000 1.000000 0.697295 0.001910 0.283386 -1.759224 519 1 6.5254E+00 7.140020 -0.037067 -46.683666 -1.663686 -99.000000 0.000000 0.284183 0.008622 0.018373 0.083906 5 3.7541E+07 1.901364 -0.105585 -15.954590 -99.000000 -6.836106 0.000000 0.002327 0.001916 0.018522 0.000E+00 max increase rel_E_err 2.0607209152773187D-13 log_rel_run_E_err -10.4450828596507517 (age_target - star_age)/age_sigma 173 694.9716042436 reducing max timestep prior to age target 173 4.5173154275834417D+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 -99.000000 -99.000000 -6.836266 0.000000 0.000033 0.001918 0.018918 0.000E+00 max increase rel_E_err 1.8444255089689790D-13 log_rel_run_E_err -10.4265141483420987 (age_target - star_age)/age_sigma 181 677.3258369365 reducing max timestep prior to age target 181 4.4026179400873938D+09 (age_target - star_age)/age_sigma 183 667.2087998396 reducing max timestep prior to age target 183 4.3368571989576330D+09 (age_target - star_age)/age_sigma 185 652.6402664201 reducing max timestep prior to age target 185 4.2421617317307773D+09 (age_target - star_age)/age_sigma 187 631.6615782960 reducing max timestep prior to age target 187 4.1058002589241056D+09 (age_target - star_age)/age_sigma 188 619.3426344383 reducing max timestep prior to age target 188 4.0257271238491259D+09 (age_target - star_age)/age_sigma 189 607.2700694578 reducing max timestep prior to age target 189 3.9472554514756460D+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 1.9803291311273048D-13 log_rel_run_E_err -10.4071747163545538 (age_target - star_age)/age_sigma 190 595.4389557769 reducing max timestep prior to age target 190 3.8703532125496354D+09 (age_target - star_age)/age_sigma 191 583.8444643696 reducing max timestep prior to age target 191 3.7949890184021454D+09 (age_target - star_age)/age_sigma 192 572.4818627904 reducing max timestep prior to age target 192 3.7211321081376052D+09 (age_target - star_age)/age_sigma 193 561.3465132428 reducing max timestep prior to age target 193 3.6487523360783558D+09 (age_target - star_age)/age_sigma 194 550.4338706862 reducing max timestep prior to age target 194 3.5778201594602909D+09 (age_target - star_age)/age_sigma 195 539.7394809807 reducing max timestep prior to age target 195 3.5083066263745875D+09 (age_target - star_age)/age_sigma 196 529.2589790693 reducing max timestep prior to age target 196 3.4401833639505987D+09 (age_target - star_age)/age_sigma 197 518.9880871962 reducing max timestep prior to age target 197 3.3734225667750893D+09 (age_target - star_age)/age_sigma 198 508.9226131605 reducing max timestep prior to age target 198 3.3079969855430899D+09 (age_target - star_age)/age_sigma 199 499.0584486055 reducing max timestep prior to age target 199 3.2438799159357309D+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 1.9209834576430814D-13 log_rel_run_E_err -10.3885636175211769 (age_target - star_age)/age_sigma 200 489.3915673416 reducing max timestep prior to age target 200 3.1810451877205186D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.9180237030 reducing max timestep prior to age target 201 3.1194671540696106D+09 (age_target - star_age)/age_sigma 202 470.6339509372 reducing max timestep prior to age target 202 3.0591206810917215D+09 (age_target - star_age)/age_sigma 203 461.5355596267 reducing max timestep prior to age target 203 2.9999811375733891D+09 (age_target - star_age)/age_sigma 204 452.6191361424 reducing max timestep prior to age target 204 2.9420243849254246D+09 (age_target - star_age)/age_sigma 205 443.8810411278 reducing max timestep prior to age target 205 2.8852267673304186D+09 (age_target - star_age)/age_sigma 206 435.3177080134 reducing max timestep prior to age target 206 2.8295651020873127D+09 (age_target - star_age)/age_sigma 207 426.9256415614 reducing max timestep prior to age target 207 2.7750166701490688D+09 (age_target - star_age)/age_sigma 208 418.7014164384 reducing max timestep prior to age target 208 2.7215592068495903D+09 (age_target - star_age)/age_sigma 209 410.6416758179 reducing max timestep prior to age target 209 2.6691708928161011D+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 1.8717920004894129D-13 log_rel_run_E_err -10.3699692221885940 (age_target - star_age)/age_sigma 210 402.7431300097 reducing max timestep prior to age target 210 2.6178303450632811D+09 (age_target - star_age)/age_sigma 212 387.2619802258 reducing max timestep prior to age target 212 2.5172028714677553D+09 (age_target - star_age)/age_sigma 213 379.6762168317 reducing max timestep prior to age target 213 2.4678954094059477D+09 (age_target - star_age)/age_sigma 214 372.2421687054 reducing max timestep prior to age target 214 2.4195740965853758D+09 (age_target - star_age)/age_sigma 215 364.9568015417 reducing max timestep prior to age target 215 2.3722192100212154D+09 (age_target - star_age)/age_sigma 216 357.8171417213 reducing max timestep prior to age target 216 2.3258114211883388D+09 (age_target - star_age)/age_sigma 217 350.8202750972 reducing max timestep prior to age target 217 2.2803317881321192D+09 (age_target - star_age)/age_sigma 218 343.9633458057 reducing max timestep prior to age target 218 2.2357617477370238D+09 (age_target - star_age)/age_sigma 219 337.2435551000 reducing max timestep prior to age target 219 2.1920831081498308D+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 1.9026012002282599D-13 log_rel_run_E_err -10.3519935212286036 (age_target - star_age)/age_sigma 220 330.6581602084 reducing max timestep prior to age target 220 2.1492780413543820D+09 (age_target - star_age)/age_sigma 221 324.2044732146 reducing max timestep prior to age target 221 2.1073290758948417D+09 (age_target - star_age)/age_sigma 222 317.8798599607 reducing max timestep prior to age target 222 2.0662190897444921D+09 (age_target - star_age)/age_sigma 223 311.6817389719 reducing max timestep prior to age target 223 2.0259313033171496D+09 (age_target - star_age)/age_sigma 224 305.6075804028 reducing max timestep prior to age target 224 1.9864492726183538D+09 (age_target - star_age)/age_sigma 225 299.6549050052 reducing max timestep prior to age target 225 1.9477568825335340D+09 (age_target - star_age)/age_sigma 226 293.8212831154 reducing max timestep prior to age target 226 1.9098383402504110D+09 (age_target - star_age)/age_sigma 227 288.1043336635 reducing max timestep prior to age target 227 1.8726781688129501D+09 (age_target - star_age)/age_sigma 228 282.5017232007 reducing max timestep prior to age target 228 1.8362612008042388D+09 (age_target - star_age)/age_sigma 229 277.0111649470 reducing max timestep prior to age target 229 1.8005725721557012D+09 230 7.178119 5737.907 -0.016350 -0.016350 1.000000 1.000000 0.462863 0.004904 0.262321 -1.597159 516 1 7.5438E+00 7.178119 -0.002995 -43.775525 -1.654821 -99.000000 0.000000 0.517876 0.008564 0.017139 0.104154 10 2.8039E+09 2.088968 -0.016283 -99.000000 -99.000000 -6.904170 0.000000 0.000018 0.001954 0.019261 0.000E+00 max_dt rel_E_err 1.7561335790304093D-13 log_rel_run_E_err -10.3349276532498386 (age_target - star_age)/age_sigma 230 271.6304178585 reducing max timestep prior to age target 230 1.7655977160801344D+09 (age_target - star_age)/age_sigma 231 266.3572857117 reducing max timestep prior to age target 231 1.7313223571260791D+09 (age_target - star_age)/age_sigma 232 261.1896162079 reducing max timestep prior to age target 232 1.6977325053511052D+09 (age_target - star_age)/age_sigma 233 256.1253000941 reducing max timestep prior to age target 233 1.6648144506116304D+09 (age_target - star_age)/age_sigma 234 251.1622703026 reducing max timestep prior to age target 234 1.6325547569669452D+09 (age_target - star_age)/age_sigma 235 246.2985011069 reducing max timestep prior to age target 235 1.6009402571951537D+09 (age_target - star_age)/age_sigma 236 241.5320072952 reducing max timestep prior to age target 236 1.5699580474187980D+09 (age_target - star_age)/age_sigma 237 236.8608433597 reducing max timestep prior to age target 237 1.5395954818379693D+09 (age_target - star_age)/age_sigma 238 232.2831027029 reducing max timestep prior to age target 238 1.5098401675687575D+09 (age_target - star_age)/age_sigma 239 227.7969168592 reducing max timestep prior to age target 239 1.4806799595849295D+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 -15.653560 -99.000000 -6.912670 0.000000 0.000018 0.001958 0.019292 0.000E+00 max_dt rel_E_err 1.8481904583803168D-13 log_rel_run_E_err -10.3189031739499697 (age_target - star_age)/age_sigma 240 223.4004547324 reducing max timestep prior to age target 240 1.4521029557607784D+09 (age_target - star_age)/age_sigma 241 219.0919218482 reducing max timestep prior to age target 241 1.4240974920131102D+09 (age_target - star_age)/age_sigma 242 214.8695596216 reducing max timestep prior to age target 242 1.3966521375403953D+09 (age_target - star_age)/age_sigma 243 210.7316446396 reducing max timestep prior to age target 243 1.3697556901571350D+09 (age_target - star_age)/age_sigma 244 206.6764879572 reducing max timestep prior to age target 244 1.3433971717215400D+09 (age_target - star_age)/age_sigma 246 198.7283808597 reducing max timestep prior to age target 246 1.2917344755877724D+09 (age_target - star_age)/age_sigma 247 194.8338083819 reducing max timestep prior to age target 247 1.2664197544822268D+09 (age_target - star_age)/age_sigma 248 191.0171273537 reducing max timestep prior to age target 248 1.2416113277987919D+09 (age_target - star_age)/age_sigma 249 187.2767799460 reducing max timestep prior to age target 249 1.2172990696490259D+09 250 7.188376 5748.491 0.004439 0.004439 1.000000 1.000000 0.410340 0.005050 0.258006 -1.573041 518 1 7.3771E+00 7.188376 0.005796 -43.094436 -1.622125 -99.000000 0.000000 0.570347 0.008448 0.016884 0.109765 10 3.3760E+09 2.129940 0.004500 -15.653560 -99.000000 -6.919803 0.000000 0.000019 0.001961 0.019314 0.000E+00 max_dt rel_E_err 1.8687407962188939D-13 log_rel_run_E_err -10.3029095206307026 (age_target - star_age)/age_sigma 250 183.6112394865 reducing max timestep prior to age target 250 1.1934730566622553D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 180.0190098362 reducing max timestep prior to age target 251 1.1701235639352198D+09 (age_target - star_age)/age_sigma 252 176.4986247789 reducing max timestep prior to age target 252 1.1472410610627251D+09 (age_target - star_age)/age_sigma 253 173.0486474227 reducing max timestep prior to age target 253 1.1248162082476802D+09 (age_target - star_age)/age_sigma 254 169.6676696137 reducing max timestep prior to age target 254 1.1028398524889359D+09 (age_target - star_age)/age_sigma 255 166.3543113608 reducing max timestep prior to age target 255 1.0813030238453674D+09 (age_target - star_age)/age_sigma 256 163.1072202730 reducing max timestep prior to age target 256 1.0601969317746696D+09 (age_target - star_age)/age_sigma 257 159.9250710070 reducing max timestep prior to age target 257 1.0395129615453858D+09 (age_target - star_age)/age_sigma 258 156.8065647263 reducing max timestep prior to age target 258 1.0192426707206879D+09 (age_target - star_age)/age_sigma 259 153.7504285712 reducing max timestep prior to age target 259 9.9937778571248388D+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 -99.000000 -99.000000 -6.925731 0.000000 0.000020 0.001964 0.019329 0.000E+00 max_dt rel_E_err 1.7673323267071882D-13 log_rel_run_E_err -10.2874686594354277 (age_target - star_age)/age_sigma 260 150.7554151391 reducing max timestep prior to age target 260 9.7991019840444374D+08 (age_target - star_age)/age_sigma 261 147.8203019758 reducing max timestep prior to age target 261 9.6083196284256506D+08 (age_target - star_age)/age_sigma 262 144.9438910757 reducing max timestep prior to age target 262 9.4213529199192333D+08 (age_target - star_age)/age_sigma 263 142.1250083936 reducing max timestep prior to age target 263 9.2381255455829430D+08 (age_target - star_age)/age_sigma 264 139.3625033651 reducing max timestep prior to age target 264 9.0585627187333822D+08 (age_target - star_age)/age_sigma 265 136.6552484372 reducing max timestep prior to age target 265 8.8825911484208107D+08 (age_target - star_age)/age_sigma 266 134.0021386079 reducing max timestep prior to age target 266 8.7101390095144939D+08 (age_target - star_age)/age_sigma 267 131.4020909752 reducing max timestep prior to age target 267 8.5411359133863020D+08 (age_target - star_age)/age_sigma 268 128.8540442951 reducing max timestep prior to age target 268 8.3755128791806746D+08 (age_target - star_age)/age_sigma 269 126.3569585486 reducing max timestep prior to age target 269 8.2132023056591558D+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 1.8606570093849575D-13 log_rel_run_E_err -10.2728388360016272 (age_target - star_age)/age_sigma 270 123.9098145170 reducing max timestep prior to age target 270 8.0541379436080694D+08 (age_target - star_age)/age_sigma 271 121.5116133661 reducing max timestep prior to age target 271 7.8982548687980080D+08 (age_target - star_age)/age_sigma 272 119.1613762382 reducing max timestep prior to age target 272 7.7454894554841423D+08 (age_target - star_age)/age_sigma 273 116.8581438529 reducing max timestep prior to age target 273 7.5957793504365540D+08 (age_target - star_age)/age_sigma 274 114.6009761152 reducing max timestep prior to age target 274 7.4490634474899244D+08 (age_target - star_age)/age_sigma 275 112.3889517323 reducing max timestep prior to age target 275 7.3052818626022196D+08 (age_target - star_age)/age_sigma 276 110.2211678371 reducing max timestep prior to age target 276 7.1643759094122744D+08 (age_target - star_age)/age_sigma 277 108.0967396198 reducing max timestep prior to age target 277 7.0262880752861261D+08 (age_target - star_age)/age_sigma 278 106.0147999668 reducing max timestep prior to age target 278 6.8909619978425026D+08 (age_target - star_age)/age_sigma 279 103.9744991069 reducing max timestep prior to age target 279 6.7583424419477463D+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 6 3.9067E+09 2.170991 0.024446 -99.000000 -99.000000 -6.934617 0.000000 0.000021 0.001968 0.019347 0.000E+00 max_dt rel_E_err 1.8804057968147200D-13 log_rel_run_E_err -10.2585245104868203 (age_target - star_age)/age_sigma 281 99.9755094214 reducing max timestep prior to age target 281 6.4984081123940277D+08 (age_target - star_age)/age_sigma 282 98.0160044756 reducing max timestep prior to age target 282 6.3710402909127092D+08 (age_target - star_age)/age_sigma 283 96.0956896286 reducing max timestep prior to age target 283 6.2462198258610153D+08 (age_target - star_age)/age_sigma 284 94.2137810786 reducing max timestep prior to age target 284 6.1238957701103544D+08 (age_target - star_age)/age_sigma 285 92.3695106996 reducing max timestep prior to age target 285 6.0040181954747057D+08 (age_target - star_age)/age_sigma 286 90.5621257282 reducing max timestep prior to age target 286 5.8865381723317719D+08 (age_target - star_age)/age_sigma 287 88.7908884562 reducing max timestep prior to age target 287 5.7714077496516943D+08 (age_target - star_age)/age_sigma 288 87.0550759296 reducing max timestep prior to age target 288 5.6585799354252195D+08 (age_target - star_age)/age_sigma 289 85.3539796536 reducing max timestep prior to age target 289 5.5480086774832773D+08 290 7.201158 5758.160 0.028946 0.028946 1.000000 1.000000 0.348496 0.005311 0.253174 -1.543092 515 1 7.0349E+00 7.201158 0.016583 -42.274240 -1.579877 -99.000000 0.000000 0.632152 0.008199 0.016598 0.117460 5 4.0255E+09 2.180623 0.028995 -99.000000 -99.000000 -6.937876 0.000000 0.000021 0.001969 0.019352 0.000E+00 max_dt rel_E_err 1.7992728703720337D-13 log_rel_run_E_err -10.2448193721857876 (age_target - star_age)/age_sigma 290 83.6869053031 reducing max timestep prior to age target 290 5.4396488447001696D+08 (age_target - star_age)/age_sigma 291 82.0531724396 reducing max timestep prior to age target 291 5.3334562085727262D+08 (age_target - star_age)/age_sigma 292 80.4521142334 reducing max timestep prior to age target 292 5.2293874251678371D+08 (age_target - star_age)/age_sigma 293 78.8830771912 reducing max timestep prior to age target 293 5.1274000174310398D+08 (age_target - star_age)/age_sigma 294 77.3454208900 reducing max timestep prior to age target 294 5.0274523578489780D+08 (age_target - star_age)/age_sigma 295 75.8385177147 reducing max timestep prior to age target 295 4.9295036514585590D+08 (age_target - star_age)/age_sigma 296 74.3617526030 reducing max timestep prior to age target 296 4.8335139191959476D+08 (age_target - star_age)/age_sigma 297 72.9145227935 reducing max timestep prior to age target 297 4.7394439815785885D+08 (age_target - star_age)/age_sigma 298 71.4962375802 reducing max timestep prior to age target 298 4.6472554427135754D+08 (age_target - star_age)/age_sigma 299 70.1063180712 reducing max timestep prior to age target 299 4.5569106746258640D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.203185 5759.479 0.032695 0.032695 1.000000 1.000000 0.339007 0.005363 0.252442 -1.538364 515 1 6.9471E+00 7.203185 0.018258 -42.146565 -1.573026 -99.000000 0.000000 0.641637 0.008147 0.016554 0.118763 5 4.1227E+09 2.188626 0.032742 -99.000000 -99.000000 -6.940621 0.000000 0.000022 0.001971 0.019355 0.000E+00 max_dt rel_E_err 1.8089884921162237D-13 log_rel_run_E_err -10.2316253540634996 (age_target - star_age)/age_sigma 300 68.7441969523 reducing max timestep prior to age target 300 4.4683728018999052D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.4093182558 reducing max timestep prior to age target 301 4.3816056866284704D+08 (age_target - star_age)/age_sigma 302 66.1011371333 reducing max timestep prior to age target 302 4.2965739136624575D+08 (age_target - star_age)/age_sigma 303 64.8191196332 reducing max timestep prior to age target 303 4.2132427761557674D+08 (age_target - star_age)/age_sigma 304 63.5627424831 reducing max timestep prior to age target 304 4.1315782613992119D+08 (age_target - star_age)/age_sigma 305 62.3314928760 reducing max timestep prior to age target 305 4.0515470369377899D+08 (age_target - star_age)/age_sigma 306 61.1248682610 reducing max timestep prior to age target 306 3.9731164369655943D+08 (age_target - star_age)/age_sigma 307 59.9423761384 reducing max timestep prior to age target 307 3.8962544489928389D+08 (age_target - star_age)/age_sigma 308 58.7835338581 reducing max timestep prior to age target 308 3.8209297007795429D+08 (age_target - star_age)/age_sigma 309 57.6478684235 reducing max timestep prior to age target 309 3.7471114475305080D+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 -15.653560 -99.000000 -6.942874 0.000000 0.000022 0.001972 0.019357 0.000E+00 max_dt rel_E_err 1.9241254700121317D-13 log_rel_run_E_err -10.2184837650460754 (age_target - star_age)/age_sigma 310 56.5349162976 reducing max timestep prior to age target 310 3.6747695593464613D+08 (age_target - star_age)/age_sigma 311 55.4442232142 reducing max timestep prior to age target 311 3.6038745089260864D+08 (age_target - star_age)/age_sigma 312 54.3753439925 reducing max timestep prior to age target 312 3.5343973595141268D+08 (age_target - star_age)/age_sigma 313 53.3278423552 reducing max timestep prior to age target 313 3.4663097530904055D+08 (age_target - star_age)/age_sigma 314 52.3012907507 reducing max timestep prior to age target 314 3.3995838987951565D+08 (age_target - star_age)/age_sigma 315 51.2952701782 reducing max timestep prior to age target 315 3.3341925615858126D+08 (age_target - star_age)/age_sigma 317 49.3234698562 reducing max timestep prior to age target 317 3.2060255406555033D+08 (age_target - star_age)/age_sigma 318 48.3572876985 reducing max timestep prior to age target 318 3.1432237003996515D+08 (age_target - star_age)/age_sigma 319 47.4104291838 reducing max timestep prior to age target 319 3.0816778969489145D+08 320 7.206265 5761.329 0.038319 0.038319 1.000000 1.000000 0.324741 0.005448 0.251342 -1.531154 516 1 6.7804E+00 7.206265 0.020789 -41.953694 -1.562539 -99.000000 0.000000 0.655900 0.008059 0.016488 0.120794 5 4.2674E+09 2.200788 0.038363 -99.000000 -99.000000 -6.944726 0.000000 0.000022 0.001972 0.019358 0.000E+00 max_dt rel_E_err 1.8541244310696329D-13 log_rel_run_E_err -10.2058102332623690 (age_target - star_age)/age_sigma 320 46.4825078395 reducing max timestep prior to age target 320 3.0213630095671892D+08 (age_target - star_age)/age_sigma 321 45.5731449220 reducing max timestep prior to age target 321 2.9622544199331045D+08 (age_target - star_age)/age_sigma 322 44.6819692629 reducing max timestep prior to age target 322 2.9043280020916986D+08 (age_target - star_age)/age_sigma 323 43.8086171170 reducing max timestep prior to age target 323 2.8475601126071167D+08 (age_target - star_age)/age_sigma 324 42.9527320140 reducing max timestep prior to age target 324 2.7919275809122324D+08 (age_target - star_age)/age_sigma 325 42.1139646131 reducing max timestep prior to age target 325 2.7374076998512459D+08 (age_target - star_age)/age_sigma 326 41.2919725602 reducing max timestep prior to age target 326 2.6839782164114761D+08 (age_target - star_age)/age_sigma 327 40.4864203483 reducing max timestep prior to age target 327 2.6316173226404953D+08 (age_target - star_age)/age_sigma 328 39.6969791807 reducing max timestep prior to age target 328 2.5803036467449474D+08 (age_target - star_age)/age_sigma 329 38.9233268364 reducing max timestep prior to age target 329 2.5300162443673038D+08 330 7.207435 5761.983 0.040432 0.040432 1.000000 1.000000 0.319369 0.005482 0.250939 -1.528409 516 1 6.6927E+00 7.207435 0.021746 -41.880787 -1.558533 -99.000000 0.000000 0.661272 0.008023 0.016464 0.121581 5 4.3214E+09 2.205408 0.040474 -99.000000 -99.000000 -6.946258 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt rel_E_err 1.6853708586081832D-13 log_rel_run_E_err -10.1935259169146075 (age_target - star_age)/age_sigma 330 38.1651475390 reducing max timestep prior to age target 330 2.4807345900372219D+08 (age_target - star_age)/age_sigma 331 37.4221318276 reducing max timestep prior to age target 331 2.4324385687937355D+08 (age_target - star_age)/age_sigma 332 36.6939764304 reducing max timestep prior to age target 332 2.3851084679751205D+08 (age_target - star_age)/age_sigma 333 35.9803841411 reducing max timestep prior to age target 333 2.3387249691728687D+08 (age_target - star_age)/age_sigma 334 35.2810636976 reducing max timestep prior to age target 334 2.2932691403466702D+08 (age_target - star_age)/age_sigma 335 34.5957296630 reducing max timestep prior to age target 335 2.2487224280969906D+08 (age_target - star_age)/age_sigma 336 33.9241023091 reducing max timestep prior to age target 336 2.2050666500923061D+08 (age_target - star_age)/age_sigma 337 33.2659075023 reducing max timestep prior to age target 337 2.1622839876477146D+08 (age_target - star_age)/age_sigma 338 32.6208765916 reducing max timestep prior to age target 338 2.1203569784520149D+08 (age_target - star_age)/age_sigma 339 31.9887462991 reducing max timestep prior to age target 339 2.0792685094402409D+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 1.8470459806682377D-13 log_rel_run_E_err -10.1818201848834171 (age_target - star_age)/age_sigma 340 31.3692586124 reducing max timestep prior to age target 340 2.0390018098086929D+08 (age_target - star_age)/age_sigma 341 30.7621606795 reducing max timestep prior to age target 341 1.9995404441697693D+08 (age_target - star_age)/age_sigma 342 30.1672047053 reducing max timestep prior to age target 342 1.9608683058436298D+08 (age_target - star_age)/age_sigma 343 29.5841478505 reducing max timestep prior to age target 343 1.9229696102840137D+08 (age_target - star_age)/age_sigma 344 29.0127521329 reducing max timestep prior to age target 344 1.8858288886355877D+08 (age_target - star_age)/age_sigma 345 28.4527843295 reducing max timestep prior to age target 345 1.8494309814201355D+08 (age_target - star_age)/age_sigma 346 27.9040158823 reducing max timestep prior to age target 346 1.8137610323489952D+08 (age_target - star_age)/age_sigma 347 27.3662228040 reducing max timestep prior to age target 347 1.7788044822592735D+08 (age_target - star_age)/age_sigma 348 26.8391855873 reducing max timestep prior to age target 348 1.7445470631713390D+08 (age_target - star_age)/age_sigma 349 26.3226891148 reducing max timestep prior to age target 349 1.7109747924651718D+08 350 7.209191 5762.914 0.043580 0.043580 1.000000 1.000000 0.311350 0.005536 0.250344 -1.524280 516 1 6.5172E+00 7.209191 0.023179 -41.771665 -1.552497 -99.000000 0.000000 0.669290 0.007967 0.016428 0.122782 5 4.4017E+09 2.212348 0.043620 -15.176439 -99.000000 -6.948532 0.000000 0.000023 0.001974 0.019360 0.000E+00 max_dt rel_E_err 1.7668457376073362D-13 log_rel_run_E_err -10.1702327850011613 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.3103560289 reducing max timestep prior to age target 351 1.6451731418810749D+08 (age_target - star_age)/age_sigma 352 24.8143128168 reducing max timestep prior to age target 352 1.6129303330948734D+08 (age_target - star_age)/age_sigma 353 24.3281904690 reducing max timestep prior to age target 353 1.5813323804843903D+08 (age_target - star_age)/age_sigma 354 23.8517905681 reducing max timestep prior to age target 354 1.5503663869261169D+08 (age_target - star_age)/age_sigma 355 23.3849186652 reducing max timestep prior to age target 355 1.5200197132390118D+08 (age_target - star_age)/age_sigma 356 22.9273842004 reducing max timestep prior to age target 356 1.4902799730256462D+08 (age_target - star_age)/age_sigma 357 22.4790004249 reducing max timestep prior to age target 357 1.4611350276165581D+08 (age_target - star_age)/age_sigma 358 22.0395843249 reducing max timestep prior to age target 358 1.4325729811156368D+08 (age_target - star_age)/age_sigma 359 21.6089565468 reducing max timestep prior to age target 359 1.4045821755447388D+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 1.7519110758003778D-13 log_rel_run_E_err -10.1591068714115114 (age_target - star_age)/age_sigma 360 21.1869413244 reducing max timestep prior to age target 360 1.3771511860852623D+08 (age_target - star_age)/age_sigma 361 20.7733664064 reducing max timestep prior to age target 361 1.3502688164149761D+08 (age_target - star_age)/age_sigma 362 20.3680629867 reducing max timestep prior to age target 362 1.3239240941380882D+08 (age_target - star_age)/age_sigma 363 19.9708656355 reducing max timestep prior to age target 363 1.2981062663067436D+08 (age_target - star_age)/age_sigma 364 19.5816122313 reducing max timestep prior to age target 364 1.2728047950320244D+08 (age_target - star_age)/age_sigma 365 19.2001438951 reducing max timestep prior to age target 365 1.2480093531827927D+08 (age_target - star_age)/age_sigma 366 18.8263049257 reducing max timestep prior to age target 366 1.2237098201705551D+08 (age_target - star_age)/age_sigma 367 18.4599427357 reducing max timestep prior to age target 367 1.1998962778185654D+08 (age_target - star_age)/age_sigma 368 18.1009077894 reducing max timestep prior to age target 368 1.1765590063136101D+08 (age_target - star_age)/age_sigma 369 17.7490535421 reducing max timestep prior to age target 369 1.1536884802387524D+08 370 7.210401 5763.521 0.045732 0.045732 1.000000 1.000000 0.305857 0.005575 0.249943 -1.521426 516 1 6.3505E+00 7.210401 0.024163 -41.696726 -1.548322 -99.000000 0.000000 0.674784 0.007926 0.016404 0.123622 5 4.4564E+09 2.217132 0.045771 -15.352530 -99.000000 -6.950080 0.000000 0.000023 0.001974 0.019359 0.000E+00 max_dt rel_E_err 1.7853883118729351D-13 log_rel_run_E_err -10.1481857121521699 (age_target - star_age)/age_sigma 370 17.4042363798 reducing max timestep prior to age target 370 1.1312753646853924D+08 (age_target - star_age)/age_sigma 371 17.0663155607 reducing max timestep prior to age target 371 1.1093105114431000D+08 (age_target - star_age)/age_sigma 372 16.7351531579 reducing max timestep prior to age target 372 1.0877849552656555D+08 (age_target - star_age)/age_sigma 373 16.4106140033 reducing max timestep prior to age target 373 1.0666899102117538D+08 (age_target - star_age)/age_sigma 374 16.0925656317 reducing max timestep prior to age target 374 1.0460167660589409D+08 (age_target - star_age)/age_sigma 375 15.7808782275 reducing max timestep prior to age target 375 1.0257570847891712D+08 (age_target - star_age)/age_sigma 376 15.4754245715 reducing max timestep prior to age target 376 1.0059025971448040D+08 (age_target - star_age)/age_sigma 377 15.1760799885 reducing max timestep prior to age target 377 9.8644519925333023D+07 (age_target - star_age)/age_sigma 378 14.8827222972 reducing max timestep prior to age target 378 9.6737694931967735D+07 (age_target - star_age)/age_sigma 379 14.5952317598 reducing max timestep prior to age target 379 9.4869006438469887D+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 1.8567412270184797D-13 log_rel_run_E_err -10.1373024583361140 (age_target - star_age)/age_sigma 380 14.3134910331 reducing max timestep prior to age target 380 9.3037691714841843D+07 (age_target - star_age)/age_sigma 381 14.0373851209 reducing max timestep prior to age target 381 9.1243003285687447D+07 (age_target - star_age)/age_sigma 382 13.7668013269 reducing max timestep prior to age target 382 8.9484208625115395D+07 (age_target - star_age)/age_sigma 383 13.5016292089 reducing max timestep prior to age target 383 8.7760589857754707D+07 (age_target - star_age)/age_sigma 384 13.2417605332 reducing max timestep prior to age target 384 8.6071443465741158D+07 (age_target - star_age)/age_sigma 385 12.9870892310 reducing max timestep prior to age target 385 8.4416080001567841D+07 (age_target - star_age)/age_sigma 387 12.4879334787 reducing max timestep prior to age target 387 8.1171567611787796D+07 (age_target - star_age)/age_sigma 388 12.2433471601 reducing max timestep prior to age target 388 7.9581756540796280D+07 (age_target - star_age)/age_sigma 389 12.0036525679 reducing max timestep prior to age target 389 7.8023741691224098D+07 390 7.211219 5763.918 0.047178 0.047178 1.000000 1.000000 0.302162 0.005602 0.249676 -1.519498 517 1 6.1838E+00 7.211219 0.024826 -41.646221 -1.545495 -99.000000 0.000000 0.678479 0.007897 0.016387 0.124195 5 4.4930E+09 2.220363 0.047216 -99.000000 -99.000000 -6.951118 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8040573651295590D-13 log_rel_run_E_err -10.1266998019479590 (age_target - star_age)/age_sigma 390 11.7687518675 reducing max timestep prior to age target 390 7.6496887138642311D+07 (age_target - star_age)/age_sigma 391 11.5385491811 reducing max timestep prior to age target 391 7.5000569677113533D+07 (age_target - star_age)/age_sigma 392 11.3129505484 reducing max timestep prior to age target 392 7.3534178564815521D+07 (age_target - star_age)/age_sigma 393 11.0918638884 reducing max timestep prior to age target 393 7.2097115274762154D+07 (age_target - star_age)/age_sigma 394 10.8751989616 reducing max timestep prior to age target 394 7.0688793250511169D+07 (age_target - star_age)/age_sigma 395 10.6628673333 reducing max timestep prior to age target 395 6.9308637666745186D+07 (age_target - star_age)/age_sigma 396 10.4547823376 reducing max timestep prior to age target 396 6.7956085194653511D+07 (age_target - star_age)/age_sigma 397 10.2508590418 reducing max timestep prior to age target 397 6.6630583772004128D+07 (age_target - star_age)/age_sigma 398 10.0510142120 reducing max timestep prior to age target 398 6.5331592377808571D+07 (age_target - star_age)/age_sigma 399 9.8551662787 reducing max timestep prior to age target 399 6.4058580811495781D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.211525 5763.927 0.047716 0.047716 1.000000 1.000000 0.300779 0.005612 0.249576 -1.518773 516 1 6.0961E+00 7.211525 0.025093 -41.627308 -1.544436 -99.000000 0.000000 0.679862 0.007886 0.016381 0.124411 5 4.5067E+09 2.221576 0.047754 -15.176439 -99.000000 -6.951475 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8228882772255069D-13 log_rel_run_E_err -10.1165187296341479 (age_target - star_age)/age_sigma 400 9.6632353041 reducing max timestep prior to age target 400 6.2811029476510048D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4751429490 reducing max timestep prior to age target 401 6.1588429168223381D+07 (age_target - star_age)/age_sigma 402 9.2908124409 reducing max timestep prior to age target 402 6.0390280866102219D+07 (age_target - star_age)/age_sigma 403 9.1101685431 reducing max timestep prior to age target 403 5.9216095530024529D+07 (age_target - star_age)/age_sigma 404 8.9331375232 reducing max timestep prior to age target 404 5.8065393900667191D+07 (age_target - star_age)/age_sigma 405 8.7596471237 reducing max timestep prior to age target 405 5.6937706303897858D+07 (age_target - star_age)/age_sigma 406 8.5896265322 reducing max timestep prior to age target 406 5.5832572459063530D+07 (age_target - star_age)/age_sigma 407 8.4230063525 reducing max timestep prior to age target 407 5.4749541291126251D+07 (age_target - star_age)/age_sigma 408 8.2597185764 reducing max timestep prior to age target 408 5.3688170746546745D+07 (age_target - star_age)/age_sigma 409 8.0996965558 reducing max timestep prior to age target 409 5.2648027612859726D+07 410 7.211777 5764.044 0.048158 0.048158 1.000000 1.000000 0.299647 0.005621 0.249495 -1.518180 516 1 6.0083E+00 7.211777 0.025296 -41.611817 -1.543566 -99.000000 0.000000 0.680994 0.007877 0.016377 0.124589 3 4.5179E+09 2.222569 0.048196 -99.000000 -99.000000 -6.951791 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8585526506213784D-13 log_rel_run_E_err -10.1063721118727834 (age_target - star_age)/age_sigma 410 7.9428749757 reducing max timestep prior to age target 410 5.1628687341846466D+07 (age_target - star_age)/age_sigma 411 7.7891898271 reducing max timestep prior to age target 411 5.0629733876253128D+07 (age_target - star_age)/age_sigma 412 7.6385783815 reducing max timestep prior to age target 412 4.9650759479971886D+07 (age_target - star_age)/age_sigma 413 7.4909791649 reducing max timestep prior to age target 413 4.8691364571616173D+07 (age_target - star_age)/age_sigma 414 7.3463319325 reducing max timestep prior to age target 414 4.7751157561428070D+07 (age_target - star_age)/age_sigma 415 7.2045776448 reducing max timestep prior to age target 415 4.6829754691443443D+07 (age_target - star_age)/age_sigma 416 7.0656584429 reducing max timestep prior to age target 416 4.5926779878858566D+07 (age_target - star_age)/age_sigma 417 6.9295176250 reducing max timestep prior to age target 417 4.5041864562525749D+07 (age_target - star_age)/age_sigma 418 6.7960996235 reducing max timestep prior to age target 418 4.4174647552518845D+07 (age_target - star_age)/age_sigma 419 6.6653499820 reducing max timestep prior to age target 419 4.3324774882712364D+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 1.8563865404729304D-13 log_rel_run_E_err -10.0961741501632574 (age_target - star_age)/age_sigma 421 6.4090806846 reducing max timestep prior to age target 421 4.1659024449891090D+07 (age_target - star_age)/age_sigma 422 6.2835087289 reducing max timestep prior to age target 422 4.0842806737809181D+07 (age_target - star_age)/age_sigma 423 6.1604482123 reducing max timestep prior to age target 423 4.0042913379968643D+07 (age_target - star_age)/age_sigma 424 6.0398489060 reducing max timestep prior to age target 424 3.9259017889285088D+07 (age_target - star_age)/age_sigma 425 5.9216615859 reducing max timestep prior to age target 425 3.8490800308414459D+07 (age_target - star_age)/age_sigma 426 5.8058380122 reducing max timestep prior to age target 426 3.7737947079161644D+07 (age_target - star_age)/age_sigma 427 5.6923309099 reducing max timestep prior to age target 427 3.7000150914494514D+07 (age_target - star_age)/age_sigma 428 5.5810939497 reducing max timestep prior to age target 428 3.6277110673119545D+07 (age_target - star_age)/age_sigma 429 5.4720817287 reducing max timestep prior to age target 429 3.5568531236573219D+07 430 7.212154 5764.217 0.048821 0.048821 1.000000 1.000000 0.297950 0.005633 0.249374 -1.517288 516 1 5.8416E+00 7.212154 0.025602 -41.588574 -1.542259 -99.000000 0.000000 0.682691 0.007864 0.016369 0.124857 3 4.5346E+09 2.224061 0.048858 -99.000000 -99.000000 -6.952265 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7575254706678354D-13 log_rel_run_E_err -10.0864210364727747 (age_target - star_age)/age_sigma 430 5.3652497521 reducing max timestep prior to age target 430 3.4874123388756752D+07 (age_target - star_age)/age_sigma 431 5.2605544151 reducing max timestep prior to age target 431 3.4193603697896957D+07 (age_target - star_age)/age_sigma 432 5.1579529847 reducing max timestep prior to age target 432 3.3526694400855064D+07 (age_target - star_age)/age_sigma 433 5.0574035830 reducing max timestep prior to age target 433 3.2873123289752960D+07 (age_target - star_age)/age_sigma 434 4.9582388069 remaining steps and years until age target 434 50 3.2228552244855881D+07 (age_target - star_age)/age_sigma 435 4.8590740308 remaining steps and years until age target 435 49 3.1583981199958801D+07 (age_target - star_age)/age_sigma 436 4.7599092546 remaining steps and years until age target 436 48 3.0939410155061722D+07 (age_target - star_age)/age_sigma 437 4.6607444785 remaining steps and years until age target 437 47 3.0294839110164642D+07 (age_target - star_age)/age_sigma 438 4.5615797023 remaining steps and years until age target 438 46 2.9650268065267563D+07 (age_target - star_age)/age_sigma 439 4.4624149262 remaining steps and years until age target 439 45 2.9005697020370483D+07 440 7.212301 5764.284 0.049079 0.049079 1.000000 1.000000 0.297289 0.005638 0.249326 -1.516941 516 1 5.8093E+00 7.212301 0.025720 -41.579526 -1.541749 -99.000000 0.000000 0.683352 0.007858 0.016366 0.124961 3 4.5411E+09 2.224642 0.049116 -99.000000 -99.000000 -6.952449 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8541865125131667D-13 log_rel_run_E_err -10.0768612316509376 (age_target - star_age)/age_sigma 440 4.3632501501 reducing max timestep prior to age target 440 2.8361125975472450D+07 (age_target - star_age)/age_sigma 441 4.2640853739 remaining steps and years until age target 441 43 2.7716554930575371D+07 (age_target - star_age)/age_sigma 442 4.1649205978 remaining steps and years until age target 442 42 2.7071983885678291D+07 (age_target - star_age)/age_sigma 443 4.0657558217 remaining steps and years until age target 443 41 2.6427412840781212D+07 (age_target - star_age)/age_sigma 444 3.9665910455 remaining steps and years until age target 444 40 2.5782841795884132D+07 (age_target - star_age)/age_sigma 445 3.8674262694 remaining steps and years until age target 445 39 2.5138270750987053D+07 (age_target - star_age)/age_sigma 446 3.7682614932 remaining steps and years until age target 446 38 2.4493699706089973D+07 (age_target - star_age)/age_sigma 447 3.6690967171 remaining steps and years until age target 447 37 2.3849128661192894D+07 (age_target - star_age)/age_sigma 448 3.5699319410 reducing max timestep prior to age target 448 2.3204557616294861D+07 (age_target - star_age)/age_sigma 449 3.4707671648 remaining steps and years until age target 449 35 2.2559986571397781D+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 1.8289158322611226D-13 log_rel_run_E_err -10.0675513610934306 (age_target - star_age)/age_sigma 450 3.3716023887 remaining steps and years until age target 450 34 2.1915415526500702D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2724376126 remaining steps and years until age target 451 33 2.1270844481603622D+07 (age_target - star_age)/age_sigma 452 3.1732728364 remaining steps and years until age target 452 32 2.0626273436706543D+07 (age_target - star_age)/age_sigma 453 3.0741080603 remaining steps and years until age target 453 31 1.9981702391809464D+07 (age_target - star_age)/age_sigma 454 2.9749432841 remaining steps and years until age target 454 30 1.9337131346912384D+07 (age_target - star_age)/age_sigma 455 2.8757785080 remaining steps and years until age target 455 29 1.8692560302015305D+07 (age_target - star_age)/age_sigma 456 2.7766137319 reducing max timestep prior to age target 456 1.8047989257117271D+07 (age_target - star_age)/age_sigma 457 2.6774489557 reducing max timestep prior to age target 457 1.7403418212220192D+07 (age_target - star_age)/age_sigma 458 2.5782841796 reducing max timestep prior to age target 458 1.6758847167323112D+07 (age_target - star_age)/age_sigma 459 2.4791194035 reducing max timestep prior to age target 459 1.6114276122426033D+07 460 7.212592 5764.416 0.049589 0.049589 1.000000 1.000000 0.295981 0.005649 0.249233 -1.516253 516 1 5.8093E+00 7.212592 0.025956 -41.561592 -1.540738 -99.000000 0.000000 0.684661 0.007848 0.016361 0.125169 3 4.5540E+09 2.225793 0.049626 -99.000000 -99.000000 -6.952813 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.8351788266684566D-13 log_rel_run_E_err -10.0584268242168200 (age_target - star_age)/age_sigma 460 2.3799546273 reducing max timestep prior to age target 460 1.5469705077528954D+07 (age_target - star_age)/age_sigma 461 2.2807898512 reducing max timestep prior to age target 461 1.4825134032631874D+07 (age_target - star_age)/age_sigma 462 2.1816250750 reducing max timestep prior to age target 462 1.4180562987734795D+07 (age_target - star_age)/age_sigma 463 2.0824602989 reducing max timestep prior to age target 463 1.3535991942836761D+07 (age_target - star_age)/age_sigma 464 1.9832955228 reducing max timestep prior to age target 464 1.2891420897939682D+07 (age_target - star_age)/age_sigma 465 1.8841307466 reducing max timestep prior to age target 465 1.2246849853042603D+07 (age_target - star_age)/age_sigma 466 1.7849659705 reducing max timestep prior to age target 466 1.1602278808145523D+07 (age_target - star_age)/age_sigma 467 1.6858011943 reducing max timestep prior to age target 467 1.0957707763248444D+07 (age_target - star_age)/age_sigma 468 1.5866364182 reducing max timestep prior to age target 468 1.0313136718351364D+07 (age_target - star_age)/age_sigma 469 1.4874716421 reducing max timestep prior to age target 469 9.6685656734542847D+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 -15.653560 -99.000000 -6.952996 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.8372375102079534D-13 log_rel_run_E_err -10.0493819933219459 (age_target - star_age)/age_sigma 470 1.3883068659 reducing max timestep prior to age target 470 9.0239946285572052D+06 (age_target - star_age)/age_sigma 471 1.2891420898 reducing max timestep prior to age target 471 8.3794235836601257D+06 (age_target - star_age)/age_sigma 472 1.1899773137 reducing max timestep prior to age target 472 7.7348525387630463D+06 (age_target - star_age)/age_sigma 473 1.0908125375 remaining steps and years until age target 473 11 7.0902814938669205D+06 (age_target - star_age)/age_sigma 474 0.9916477614 reducing max timestep prior to age target 474 6.4457104489698410D+06 (age_target - star_age)/age_sigma 475 0.8924829852 reducing max timestep prior to age target 475 5.8011394040727615D+06 (age_target - star_age)/age_sigma 476 0.7933182091 reducing max timestep prior to age target 476 5.1565683591747284D+06 (age_target - star_age)/age_sigma 477 0.6941534330 remaining steps and years until age target 477 7 4.5119973142786026D+06 (age_target - star_age)/age_sigma 478 0.5949886568 reducing max timestep prior to age target 478 3.8674262693815231D+06 (age_target - star_age)/age_sigma 479 0.4958238807 remaining steps and years until age target 479 5 3.2228552244853973D+06 480 7.212884 5764.546 0.050100 0.050100 1.000000 1.000000 0.294671 0.005659 0.249140 -1.515564 516 1 5.8093E+00 7.212884 0.026191 -41.543627 -1.539725 -99.000000 0.000000 0.685971 0.007837 0.016355 0.125378 3 4.5669E+09 2.226947 0.050136 -15.051500 -99.000000 -6.953178 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.8666229744036861D-13 log_rel_run_E_err -10.0404729633574501 (age_target - star_age)/age_sigma 480 0.3966591046 reducing max timestep prior to age target 480 2.5782841795873642D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2974943284 remaining steps and years until age target 481 3 1.9337131346912384D+06 (age_target - star_age)/age_sigma 482 0.1983295523 remaining steps and years until age target 482 2 1.2891420897941589D+06 (age_target - star_age)/age_sigma 483 0.0991647761 remaining steps and years until age target 483 1 6.4457104489803314D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71 save outputs/best.mod 484 save outputs/best.profile for model 484 save LOGS/profile11.data for model 484 have reached age_target save LOGS/profile11.data for model 484 solver retries 3 varcontrol dt limit 81 max increase dt limit 1074 lgRho_cntr dt limit 37 model saved to final.mod save photos/x484 for model 484 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71 have reached age_target runtime (minutes), retries, steps 2.70 1 484 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 484 7.212943 5764.572 0.050203 0.050203 1.000000 1.000000 0.294409 0.005661 0.249121 -1.515426 516 1 5.8093E+00 7.212943 0.026238 -41.540030 -1.539521 -99.000000 0.000000 0.686233 0.007835 0.016354 0.125420 3 4.5695E+09 2.227178 0.050239 -99.000000 -99.000000 -6.953251 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.8371769767318909D-13 log_rel_run_E_err -10.0369808787660215 Teff 5764.5719399266 radius 1.0622782376 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 3878.5788762152 M_H -0.0127881998 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 163.5380535849 log_R 0.0262382844 delta_nu 129.3843509384 nu_max 2729.4282123469 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 334680.7056432667 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 "9dea5ab" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251009" "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 3.3351283960191562E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383755896E+03 1.0231407131232713E+00 -1.7395981987816708E-03 9.9353665865147631E-03 1.3680762272707830E+02 2.9640776267841038E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191562E+05 0 0 0 0 0 0 0 2 3.3468070564326667E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399265890E+03 1.0622782375811581E+00 -1.2788199778892683E-02 2.6238284372221875E-02 1.2938435093838254E+02 2.7294282123468802E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326667E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 8.6999999999999994D-02 4.5000000000000001D-01 next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562812810010300D-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 1.8246321914822070D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692963882808436D-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 7 2.5959E-04 0.157517 0.015371 -99.000000 -99.000000 -6.906603 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5938735368677772D-13 log_rel_run_E_err -11.5800488883503068 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 -20.169010 -99.000000 -6.911070 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6050379847779261D-13 log_rel_run_E_err -11.2782360619389603 30 6.622723 4316.396 -4.896792 -4.896792 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -2.7037E+00 6.622723 0.262177 -99.000000 -6.294540 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 1.1819E-02 0.157524 0.019534 -99.000000 -99.000000 -6.911323 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5529372214075368D-13 log_rel_run_E_err -11.1014756560664605 40 6.622726 4315.712 -4.896790 -4.896790 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -1.9119E+00 6.622726 0.262184 -99.000000 -6.294538 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 4 7.3439E-02 0.157527 0.019271 -99.000000 -99.000000 -6.911018 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6776068723211309D-13 log_rel_run_E_err -10.9773747973320361 50 6.622726 4313.963 -4.896789 -4.896789 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -1.1201E+00 6.622726 0.262173 -99.000000 -6.294537 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 6 4.5497E-01 0.157527 0.018545 -20.771070 -99.000000 -6.910205 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.8004156500635047D-13 log_rel_run_E_err -10.8782795125191143 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.622726 4313.925 -4.896788 -4.896788 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0 -3.2831E-01 6.622726 0.262172 -99.000000 -6.294536 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2 2.8173E+00 0.157528 0.018529 -99.000000 -99.000000 -6.910187 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6106191463174894D-13 log_rel_run_E_err -10.7984089953796580 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 -6.294528 -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 2.8841419245190151D-13 log_rel_run_E_err -10.7314108739710488 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 2.6980329269504766D-13 log_rel_run_E_err -10.6730769831926260 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 -20.293948 -99.000000 -6.910119 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7424677278541472D-13 log_rel_run_E_err -10.6224272829614534 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.622946 4313.669 -4.894384 -4.894384 1.000000 1.000000 0.710106 0.001005 0.270000 -4.027662 457 0 2.8389E+00 6.622946 0.261920 -99.000000 -6.292132 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072049 2 4.1409E+03 0.158320 0.017921 -20.771070 -99.000000 -6.909765 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7355142683651615D-13 log_rel_run_E_err -10.5763688959816413 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.624079 4312.342 -4.881988 -4.881988 1.000000 1.000000 0.710106 0.001005 0.270000 -4.022123 457 0 3.6308E+00 6.624079 0.260618 -99.000000 -6.279735 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072088 2 2.5639E+04 0.162410 0.014782 -20.169010 -99.000000 -6.907581 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.4397349212496781D-13 log_rel_run_E_err -10.5369052276201760 120 6.630764 4304.303 -4.808418 -4.808418 1.000000 1.000000 0.710106 0.001005 0.270000 -3.988484 457 0 4.4226E+00 6.630764 0.252867 -99.000000 -6.206160 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072337 3 1.5875E+05 0.186959 -0.003960 -20.470040 -99.000000 -6.894484 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 4.0188643211065147D-13 log_rel_run_E_err -10.5040744801560670 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 -19.867980 -99.000000 -6.827131 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.3613958843014342D-11 log_rel_run_E_err -10.2221958256105623 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 2.3331043312645148D-13 log_rel_run_E_err -10.3203188536403019 150 6.868601 4496.668 -2.253688 -2.253688 1.000000 1.000000 0.710088 0.001005 0.269993 -2.223868 473 0 6.0088E+00 6.868601 0.036433 -99.000000 -3.650488 -99.000000 0.000000 0.270017 0.009331 0.019894 0.098089 4 1.5141E+07 1.297238 -0.360877 -99.000000 -99.000000 -6.714681 0.000000 0.003429 0.002074 0.019895 0.000E+00 lgRho_cntr rel_E_err 2.0064792116358948D-13 log_rel_run_E_err -10.4353592197544707 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.046838 5353.783 -0.818032 -0.818032 1.000000 1.000000 0.709913 0.001022 0.269970 -1.549552 489 0 6.1334E+00 7.046838 0.011673 -51.759826 -2.259873 -99.000000 0.000000 0.270189 0.009332 0.019892 0.098989 5 2.7457E+07 1.843683 -0.107318 -16.255620 -99.000000 -6.847198 0.000000 0.003414 0.002074 0.019898 0.000E+00 lgRho_cntr rel_E_err 1.6984950367445494D-13 log_rel_run_E_err -10.5745777952296649 (age_target - star_age)/age_sigma 168 694.7514475017 reducing max timestep prior to age target 168 4.5158844087609901D+09 170 7.128249 5516.078 -0.179266 -0.179266 1.000000 1.000000 0.707745 0.003384 0.269734 -1.726831 507 0 6.9128E+00 7.128249 -0.049816 -47.364544 -1.779651 -99.000000 0.000000 0.272015 0.009334 0.019877 0.085495 5 6.8613E+07 1.894313 -0.178416 -15.653560 -99.000000 -6.804894 0.000000 0.001391 0.002075 0.020240 0.000E+00 max increase rel_E_err 1.8430339412535756D-13 log_rel_run_E_err -10.5995485825943394 (age_target - star_age)/age_sigma 176 677.4473861725 reducing max timestep prior to age target 176 4.4034080101212463D+09 (age_target - star_age)/age_sigma 179 661.0324369734 reducing max timestep prior to age target 179 4.2967108403270741D+09 180 7.128729 5536.217 -0.162195 -0.162195 1.000000 1.000000 0.691334 0.005002 0.268174 -1.677290 500 0 7.7046E+00 7.128729 -0.044841 -47.219844 -1.818361 -99.000000 0.000000 0.288160 0.009348 0.019777 0.087930 10 3.2344E+08 1.919490 -0.162136 -99.000000 -99.000000 -6.814263 0.000000 0.000015 0.002078 0.020506 0.000E+00 max increase rel_E_err 1.8400134509463196D-13 log_rel_run_E_err -10.5713416989154538 (age_target - star_age)/age_sigma 180 653.2398457053 reducing max timestep prior to age target 180 4.2460589970841265D+09 (age_target - star_age)/age_sigma 182 632.6674047573 reducing max timestep prior to age target 182 4.1123381309227448D+09 (age_target - star_age)/age_sigma 183 620.3484608997 reducing max timestep prior to age target 183 4.0322649958477650D+09 (age_target - star_age)/age_sigma 184 608.2758959191 reducing max timestep prior to age target 184 3.9537933234742851D+09 (age_target - star_age)/age_sigma 185 596.4447822382 reducing max timestep prior to age target 185 3.8768910845482750D+09 (age_target - star_age)/age_sigma 186 584.8502908309 reducing max timestep prior to age target 186 3.8015268904007845D+09 (age_target - star_age)/age_sigma 187 573.4876892517 reducing max timestep prior to age target 187 3.7276699801362443D+09 (age_target - star_age)/age_sigma 188 562.3523397042 reducing max timestep prior to age target 188 3.6552902080769949D+09 (age_target - star_age)/age_sigma 189 551.4396971475 reducing max timestep prior to age target 189 3.5843580314589300D+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 1.7661819396354288D-13 log_rel_run_E_err -10.5437197012264399 (age_target - star_age)/age_sigma 190 540.7453074420 reducing max timestep prior to age target 190 3.5148444983732271D+09 (age_target - star_age)/age_sigma 191 530.2648055307 reducing max timestep prior to age target 191 3.4467212359492378D+09 (age_target - star_age)/age_sigma 192 519.9939136575 reducing max timestep prior to age target 192 3.3799604387737284D+09 (age_target - star_age)/age_sigma 193 509.9284396218 reducing max timestep prior to age target 193 3.3145348575417290D+09 (age_target - star_age)/age_sigma 194 500.0642750668 reducing max timestep prior to age target 194 3.2504177879343700D+09 (age_target - star_age)/age_sigma 195 490.3973938029 reducing max timestep prior to age target 195 3.1875830597191582D+09 (age_target - star_age)/age_sigma 196 480.9238501643 reducing max timestep prior to age target 196 3.1260050260682497D+09 (age_target - star_age)/age_sigma 197 471.6397773985 reducing max timestep prior to age target 197 3.0656585530903606D+09 (age_target - star_age)/age_sigma 198 462.5413860880 reducing max timestep prior to age target 198 3.0065190095720286D+09 (age_target - star_age)/age_sigma 199 453.6249626037 reducing max timestep prior to age target 199 2.9485622569240637D+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 1.8889629524967801D-13 log_rel_run_E_err -10.5171884875510564 (age_target - star_age)/age_sigma 200 444.8868675891 reducing max timestep prior to age target 200 2.8917646393290577D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 436.3235344748 reducing max timestep prior to age target 201 2.8361029740859518D+09 (age_target - star_age)/age_sigma 202 427.9314680227 reducing max timestep prior to age target 202 2.7815545421477079D+09 (age_target - star_age)/age_sigma 204 411.4830177767 reducing max timestep prior to age target 204 2.6746396155487504D+09 (age_target - star_age)/age_sigma 205 403.4232771562 reducing max timestep prior to age target 205 2.6222513015152612D+09 (age_target - star_age)/age_sigma 206 395.5247313481 reducing max timestep prior to age target 206 2.5709107537624416D+09 (age_target - star_age)/age_sigma 207 387.7841564561 reducing max timestep prior to age target 207 2.5205970169646788D+09 (age_target - star_age)/age_sigma 208 380.1983930620 reducing max timestep prior to age target 208 2.4712895549028711D+09 (age_target - star_age)/age_sigma 209 372.7643449357 reducing max timestep prior to age target 209 2.4229682420822992D+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 1.8186971165441520D-13 log_rel_run_E_err -10.4920365703334415 (age_target - star_age)/age_sigma 210 365.4789777720 reducing max timestep prior to age target 210 2.3756133555181389D+09 (age_target - star_age)/age_sigma 211 358.3393179516 reducing max timestep prior to age target 211 2.3292055666852622D+09 (age_target - star_age)/age_sigma 212 351.3424513275 reducing max timestep prior to age target 212 2.2837259336290426D+09 (age_target - star_age)/age_sigma 213 344.4855220360 reducing max timestep prior to age target 213 2.2391558932339473D+09 (age_target - star_age)/age_sigma 214 337.7657313303 reducing max timestep prior to age target 214 2.1954772536467543D+09 (age_target - star_age)/age_sigma 215 331.1803364387 reducing max timestep prior to age target 215 2.1526721868513055D+09 (age_target - star_age)/age_sigma 216 324.7266494449 reducing max timestep prior to age target 216 2.1107232213917651D+09 (age_target - star_age)/age_sigma 217 318.4020361910 reducing max timestep prior to age target 217 2.0696132352414155D+09 (age_target - star_age)/age_sigma 218 312.2039152022 reducing max timestep prior to age target 218 2.0293254488140731D+09 (age_target - star_age)/age_sigma 219 306.1297566331 reducing max timestep prior to age target 219 1.9898434181152773D+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 1.9726224295008494D-13 log_rel_run_E_err -10.4685235858346228 (age_target - star_age)/age_sigma 220 300.1770812355 reducing max timestep prior to age target 220 1.9511510280304575D+09 (age_target - star_age)/age_sigma 221 294.3434593457 reducing max timestep prior to age target 221 1.9132324857473345D+09 (age_target - star_age)/age_sigma 222 288.6265098938 reducing max timestep prior to age target 222 1.8760723143098736D+09 (age_target - star_age)/age_sigma 223 283.0238994309 reducing max timestep prior to age target 223 1.8396553463011622D+09 (age_target - star_age)/age_sigma 224 277.5333411773 reducing max timestep prior to age target 224 1.8039667176526246D+09 (age_target - star_age)/age_sigma 225 272.1525940888 reducing max timestep prior to age target 225 1.7689918615770578D+09 (age_target - star_age)/age_sigma 226 266.8794619420 reducing max timestep prior to age target 226 1.7347165026230025D+09 (age_target - star_age)/age_sigma 227 261.7117924382 reducing max timestep prior to age target 227 1.7011266508480287D+09 (age_target - star_age)/age_sigma 228 256.6474763244 reducing max timestep prior to age target 228 1.6682085961085539D+09 (age_target - star_age)/age_sigma 229 251.6844465329 reducing max timestep prior to age target 229 1.6359489024638686D+09 230 7.161476 5602.009 -0.084964 -0.084964 1.000000 1.000000 0.495424 0.005199 0.252368 -1.595687 508 0 7.4999E+00 7.161476 -0.016481 -44.743847 -1.736040 -99.000000 0.000000 0.483701 0.009404 0.018743 0.103061 10 2.9652E+09 2.055059 -0.084893 -15.352530 -99.000000 -6.863061 0.000000 0.000017 0.002116 0.020875 0.000E+00 max_dt rel_E_err 1.8565476226372906D-13 log_rel_run_E_err -10.4461572454641267 (age_target - star_age)/age_sigma 230 246.8206773372 reducing max timestep prior to age target 230 1.6043344026920772D+09 (age_target - star_age)/age_sigma 231 242.0541835255 reducing max timestep prior to age target 231 1.5733521929157214D+09 (age_target - star_age)/age_sigma 232 237.3830195900 reducing max timestep prior to age target 232 1.5429896273348927D+09 (age_target - star_age)/age_sigma 233 232.8052789332 reducing max timestep prior to age target 233 1.5132343130656810D+09 (age_target - star_age)/age_sigma 234 228.3190930895 reducing max timestep prior to age target 234 1.4840741050818529D+09 (age_target - star_age)/age_sigma 235 223.9226309627 reducing max timestep prior to age target 235 1.4554971012577019D+09 (age_target - star_age)/age_sigma 236 219.6140980785 reducing max timestep prior to age target 236 1.4274916375100336D+09 (age_target - star_age)/age_sigma 238 211.1693736253 reducing max timestep prior to age target 238 1.3726009285646043D+09 (age_target - star_age)/age_sigma 239 207.0314586433 reducing max timestep prior to age target 239 1.3457044811813436D+09 240 7.165640 5608.445 -0.076096 -0.076096 1.000000 1.000000 0.473410 0.005235 0.250684 -1.585234 507 0 7.4209E+00 7.165640 -0.013045 -44.456185 -1.723708 -99.000000 0.000000 0.505681 0.009391 0.018632 0.105213 10 3.2502E+09 2.071962 -0.076027 -99.000000 -99.000000 -6.868955 0.000000 0.000018 0.002120 0.020909 0.000E+00 max_dt rel_E_err 1.8752865739316723D-13 log_rel_run_E_err -10.4249052280057715 (age_target - star_age)/age_sigma 240 202.9763019609 reducing max timestep prior to age target 240 1.3193459627457485D+09 (age_target - star_age)/age_sigma 241 199.0022484121 reducing max timestep prior to age target 241 1.2935146146788650D+09 (age_target - star_age)/age_sigma 242 195.1076759344 reducing max timestep prior to age target 242 1.2681998935733190D+09 (age_target - star_age)/age_sigma 243 191.2909949061 reducing max timestep prior to age target 243 1.2433914668898840D+09 (age_target - star_age)/age_sigma 244 187.5506474985 reducing max timestep prior to age target 244 1.2190792087401180D+09 (age_target - star_age)/age_sigma 245 183.8851070390 reducing max timestep prior to age target 245 1.1952531957533474D+09 (age_target - star_age)/age_sigma 246 180.2928773887 reducing max timestep prior to age target 246 1.1719037030263124D+09 (age_target - star_age)/age_sigma 247 176.7724923314 reducing max timestep prior to age target 247 1.1490212001538177D+09 (age_target - star_age)/age_sigma 248 173.3225149752 reducing max timestep prior to age target 248 1.1265963473387723D+09 (age_target - star_age)/age_sigma 249 169.9415371662 reducing max timestep prior to age target 249 1.1046199915800285D+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 -15.653560 -99.000000 -6.873930 0.000000 0.000018 0.002123 0.020937 0.000E+00 max_dt rel_E_err 1.7565368822061285D-13 log_rel_run_E_err -10.4049484299570381 (age_target - star_age)/age_sigma 250 166.6281789133 reducing max timestep prior to age target 250 1.0830831629364595D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 163.3810878255 reducing max timestep prior to age target 251 1.0619770708657622D+09 (age_target - star_age)/age_sigma 252 160.1989385595 reducing max timestep prior to age target 252 1.0412931006364784D+09 (age_target - star_age)/age_sigma 253 157.0804322787 reducing max timestep prior to age target 253 1.0210228098117805D+09 (age_target - star_age)/age_sigma 254 154.0242961236 reducing max timestep prior to age target 254 1.0011579248035765D+09 (age_target - star_age)/age_sigma 255 151.0292826916 reducing max timestep prior to age target 255 9.8169033749553633D+08 (age_target - star_age)/age_sigma 256 148.0941695283 reducing max timestep prior to age target 256 9.6261210193365717D+08 (age_target - star_age)/age_sigma 257 145.2177586282 reducing max timestep prior to age target 257 9.4391543108301592D+08 (age_target - star_age)/age_sigma 258 142.3988759461 reducing max timestep prior to age target 258 9.2559269364938688D+08 (age_target - star_age)/age_sigma 259 139.6363709176 reducing max timestep prior to age target 259 9.0763641096443081D+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 1.6621595455194975D-13 log_rel_run_E_err -10.3858714355075605 (age_target - star_age)/age_sigma 260 136.9291159897 reducing max timestep prior to age target 260 8.9003925393317366D+08 (age_target - star_age)/age_sigma 261 134.2760061604 reducing max timestep prior to age target 261 8.7279404004254150D+08 (age_target - star_age)/age_sigma 262 131.6759585276 reducing max timestep prior to age target 262 8.5589373042972231D+08 (age_target - star_age)/age_sigma 263 129.1279118476 reducing max timestep prior to age target 263 8.3933142700915956D+08 (age_target - star_age)/age_sigma 264 126.6308261011 reducing max timestep prior to age target 264 8.2310036965700817D+08 (age_target - star_age)/age_sigma 265 124.1836820695 reducing max timestep prior to age target 265 8.0719393345189953D+08 (age_target - star_age)/age_sigma 266 121.7854809186 reducing max timestep prior to age target 266 7.9160562597089291D+08 (age_target - star_age)/age_sigma 267 119.4352437907 reducing max timestep prior to age target 267 7.7632908463950682D+08 (age_target - star_age)/age_sigma 268 117.1320114053 reducing max timestep prior to age target 268 7.6135807413474798D+08 (age_target - star_age)/age_sigma 269 114.8748436677 reducing max timestep prior to age target 269 7.4668648384008455D+08 270 7.174677 5621.171 -0.057325 -0.057325 1.000000 1.000000 0.427366 0.005328 0.247233 -1.562345 512 0 7.1577E+00 7.174677 -0.005631 -43.845427 -1.696279 -99.000000 0.000000 0.551659 0.009340 0.018404 0.110116 10 3.8372E+09 2.108517 -0.057261 -99.000000 -99.000000 -6.881523 0.000000 0.000019 0.002128 0.020976 0.000E+00 max_dt rel_E_err 1.8716109799039324D-13 log_rel_run_E_err -10.3672552007257437 (age_target - star_age)/age_sigma 270 112.6628192848 reducing max timestep prior to age target 270 7.3230832535131454D+08 (age_target - star_age)/age_sigma 271 110.4950353896 reducing max timestep prior to age target 271 7.1821773003232002D+08 (age_target - star_age)/age_sigma 273 106.2461789549 reducing max timestep prior to age target 273 6.9060016320708990D+08 (age_target - star_age)/age_sigma 274 104.1642393020 reducing max timestep prior to age target 274 6.7706755546272755D+08 (age_target - star_age)/age_sigma 275 102.1239384420 reducing max timestep prior to age target 275 6.6380559987325239D+08 (age_target - star_age)/age_sigma 276 100.1244435993 reducing max timestep prior to age target 276 6.5080888339556599D+08 (age_target - star_age)/age_sigma 277 98.1649386535 reducing max timestep prior to age target 277 6.3807210124743414D+08 (age_target - star_age)/age_sigma 278 96.2446238065 reducing max timestep prior to age target 278 6.2559005474226475D+08 (age_target - star_age)/age_sigma 279 94.3627152565 reducing max timestep prior to age target 279 6.1335764916719866D+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 5 3.9681E+09 2.117022 -0.052974 -15.255620 -99.000000 -6.884410 0.000000 0.000019 0.002130 0.020989 0.000E+00 max_dt rel_E_err 1.8638814221867113D-13 log_rel_run_E_err -10.3489897404604765 (age_target - star_age)/age_sigma 280 92.5184448775 reducing max timestep prior to age target 280 6.0136989170363379D+08 (age_target - star_age)/age_sigma 281 90.7110599061 reducing max timestep prior to age target 281 5.8962188938933992D+08 (age_target - star_age)/age_sigma 282 88.9398226341 reducing max timestep prior to age target 282 5.7810884712133265D+08 (age_target - star_age)/age_sigma 283 87.2040101075 reducing max timestep prior to age target 283 5.6682606569868469D+08 (age_target - star_age)/age_sigma 284 85.5029138315 reducing max timestep prior to age target 284 5.5576893990449047D+08 (age_target - star_age)/age_sigma 285 83.8358394810 reducing max timestep prior to age target 285 5.4493295662618017D+08 (age_target - star_age)/age_sigma 286 82.2021066175 reducing max timestep prior to age target 286 5.3431369301343584D+08 (age_target - star_age)/age_sigma 287 80.6010484112 reducing max timestep prior to age target 287 5.2390681467294645D+08 (age_target - star_age)/age_sigma 288 79.0320113691 reducing max timestep prior to age target 288 5.1370807389926672D+08 (age_target - star_age)/age_sigma 289 77.4943550679 reducing max timestep prior to age target 289 5.0371330794106054D+08 290 7.178545 5626.098 -0.049502 -0.049502 1.000000 1.000000 0.408367 0.005376 0.245866 -1.552489 515 0 6.9910E+00 7.178545 -0.002481 -43.589377 -1.684278 -99.000000 0.000000 0.570633 0.009306 0.018313 0.112316 5 4.0756E+09 2.124106 -0.049440 -99.000000 -99.000000 -6.886789 0.000000 0.000019 0.002131 0.021000 0.000E+00 max_dt rel_E_err 1.8026951972274360D-13 log_rel_run_E_err -10.3317934022998195 (age_target - star_age)/age_sigma 290 75.9874518926 reducing max timestep prior to age target 290 4.9391843730201912D+08 (age_target - star_age)/age_sigma 291 74.5106867809 reducing max timestep prior to age target 291 4.8431946407575798D+08 (age_target - star_age)/age_sigma 292 73.0634569714 reducing max timestep prior to age target 292 4.7491247031402206D+08 (age_target - star_age)/age_sigma 293 71.6451717581 reducing max timestep prior to age target 293 4.6569361642752028D+08 (age_target - star_age)/age_sigma 294 70.2552522490 reducing max timestep prior to age target 294 4.5665913961874914D+08 (age_target - star_age)/age_sigma 295 68.8931311302 reducing max timestep prior to age target 295 4.4780535234615374D+08 (age_target - star_age)/age_sigma 296 67.5582524337 reducing max timestep prior to age target 296 4.3912864081900978D+08 (age_target - star_age)/age_sigma 297 66.2500713111 reducing max timestep prior to age target 297 4.3062546352240896D+08 (age_target - star_age)/age_sigma 298 64.9680538110 reducing max timestep prior to age target 298 4.2229234977173996D+08 (age_target - star_age)/age_sigma 299 63.7116766609 reducing max timestep prior to age target 299 4.1412589829608440D+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 1.9200156585140407D-13 log_rel_run_E_err -10.3148024326662959 (age_target - star_age)/age_sigma 300 62.4804270538 reducing max timestep prior to age target 300 4.0612277584994173D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.2738024389 reducing max timestep prior to age target 301 3.9827971585272217D+08 (age_target - star_age)/age_sigma 302 60.0913103162 reducing max timestep prior to age target 302 3.9059351705544710D+08 (age_target - star_age)/age_sigma 303 58.9324680360 reducing max timestep prior to age target 303 3.8306104223411703D+08 (age_target - star_age)/age_sigma 304 57.7968026014 reducing max timestep prior to age target 304 3.7567921690921402D+08 (age_target - star_age)/age_sigma 305 56.6838504755 reducing max timestep prior to age target 305 3.6844502809080887D+08 (age_target - star_age)/age_sigma 306 55.5931573921 reducing max timestep prior to age target 306 3.6135552304877186D+08 (age_target - star_age)/age_sigma 308 53.4553989487 reducing max timestep prior to age target 308 3.4746009316637993D+08 (age_target - star_age)/age_sigma 309 52.4078973114 reducing max timestep prior to age target 309 3.4065133252400732D+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 1.7797731891355268D-13 log_rel_run_E_err -10.2985705292909380 (age_target - star_age)/age_sigma 310 51.3813457068 reducing max timestep prior to age target 310 3.3397874709448290D+08 (age_target - star_age)/age_sigma 311 50.3753251344 reducing max timestep prior to age target 311 3.2743961337354851D+08 (age_target - star_age)/age_sigma 312 49.3894249734 reducing max timestep prior to age target 312 3.2103126232703257D+08 (age_target - star_age)/age_sigma 313 48.4232428156 reducing max timestep prior to age target 313 3.1475107830144739D+08 (age_target - star_age)/age_sigma 314 47.4763843010 reducing max timestep prior to age target 314 3.0859649795637369D+08 (age_target - star_age)/age_sigma 315 46.5484629566 reducing max timestep prior to age target 315 3.0256500921820164D+08 (age_target - star_age)/age_sigma 316 45.6391000392 reducing max timestep prior to age target 316 2.9665415025479317D+08 (age_target - star_age)/age_sigma 317 44.7479243801 reducing max timestep prior to age target 317 2.9086150847065210D+08 (age_target - star_age)/age_sigma 318 43.8745722342 reducing max timestep prior to age target 318 2.8518471952219439D+08 (age_target - star_age)/age_sigma 319 43.0186871312 reducing max timestep prior to age target 319 2.7962146635270548D+08 320 7.182220 5630.429 -0.042203 -0.042203 1.000000 1.000000 0.390681 0.005427 0.244629 -1.543094 515 0 6.7366E+00 7.182220 0.000498 -43.348795 -1.672748 -99.000000 0.000000 0.588299 0.009267 0.018231 0.114468 5 4.2953E+09 2.138892 -0.042144 -99.000000 -99.000000 -6.891702 0.000000 0.000020 0.002134 0.021021 0.000E+00 max_dt rel_E_err 1.8457777804577157D-13 log_rel_run_E_err -10.2830587288671680 (age_target - star_age)/age_sigma 320 42.1799197302 reducing max timestep prior to age target 320 2.7416947824660683D+08 (age_target - star_age)/age_sigma 321 41.3579276773 reducing max timestep prior to age target 321 2.6882652990262985D+08 (age_target - star_age)/age_sigma 322 40.5523754655 reducing max timestep prior to age target 322 2.6359044052553272D+08 (age_target - star_age)/age_sigma 323 39.7629342978 reducing max timestep prior to age target 323 2.5845907293597698D+08 (age_target - star_age)/age_sigma 324 38.9892819536 reducing max timestep prior to age target 324 2.5343033269821358D+08 (age_target - star_age)/age_sigma 325 38.2311026562 reducing max timestep prior to age target 325 2.4850216726520443D+08 (age_target - star_age)/age_sigma 326 37.4880869447 reducing max timestep prior to age target 326 2.4367256514085579D+08 (age_target - star_age)/age_sigma 327 36.7599315475 reducing max timestep prior to age target 327 2.3893955505899429D+08 (age_target - star_age)/age_sigma 328 36.0463392583 reducing max timestep prior to age target 328 2.3430120517876911D+08 (age_target - star_age)/age_sigma 329 35.3470188148 reducing max timestep prior to age target 329 2.2975562229614925D+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 1.9998284590655270D-13 log_rel_run_E_err -10.2680034816140662 (age_target - star_age)/age_sigma 330 34.6616847802 reducing max timestep prior to age target 330 2.2530095107118130D+08 (age_target - star_age)/age_sigma 331 33.9900574263 reducing max timestep prior to age target 331 2.2093537327071285D+08 (age_target - star_age)/age_sigma 332 33.3318626194 reducing max timestep prior to age target 332 2.1665710702625370D+08 (age_target - star_age)/age_sigma 333 32.6868317087 reducing max timestep prior to age target 333 2.1246440610668468D+08 (age_target - star_age)/age_sigma 334 32.0547014162 reducing max timestep prior to age target 334 2.0835555920550632D+08 (age_target - star_age)/age_sigma 335 31.4352137296 reducing max timestep prior to age target 335 2.0432888924235153D+08 (age_target - star_age)/age_sigma 336 30.8281157967 reducing max timestep prior to age target 336 2.0038275267846012D+08 (age_target - star_age)/age_sigma 337 30.2331598224 reducing max timestep prior to age target 337 1.9651553884584618D+08 (age_target - star_age)/age_sigma 338 29.6501029677 reducing max timestep prior to age target 338 1.9272566928988457D+08 (age_target - star_age)/age_sigma 339 29.0787072500 reducing max timestep prior to age target 339 1.8901159712504196D+08 340 7.183736 5632.123 -0.039230 -0.039230 1.000000 1.000000 0.383484 0.005450 0.244136 -1.539223 514 0 6.5611E+00 7.183736 0.001723 -43.250268 -1.667955 -99.000000 0.000000 0.595488 0.009248 0.018198 0.115373 5 4.3841E+09 2.144976 -0.039171 -99.000000 -99.000000 -6.893703 0.000000 0.000020 0.002135 0.021028 0.000E+00 max_dt rel_E_err 1.8321021609762450D-13 log_rel_run_E_err -10.2534221008534985 (age_target - star_age)/age_sigma 340 28.5187394467 reducing max timestep prior to age target 340 1.8537180640349674D+08 (age_target - star_age)/age_sigma 341 27.9699709994 reducing max timestep prior to age target 341 1.8180481149638176D+08 (age_target - star_age)/age_sigma 343 26.8943848428 reducing max timestep prior to age target 343 1.7481350147843647D+08 (age_target - star_age)/age_sigma 344 26.3673476261 reducing max timestep prior to age target 344 1.7138775956964397D+08 (age_target - star_age)/age_sigma 345 25.8508511537 reducing max timestep prior to age target 345 1.6803053249902725D+08 (age_target - star_age)/age_sigma 346 25.3446846107 reducing max timestep prior to age target 346 1.6474044996982193D+08 (age_target - star_age)/age_sigma 347 24.8486413986 reducing max timestep prior to age target 347 1.6151616909120178D+08 (age_target - star_age)/age_sigma 348 24.3625190508 reducing max timestep prior to age target 348 1.5835637383015347D+08 (age_target - star_age)/age_sigma 349 23.8861191499 reducing max timestep prior to age target 349 1.5525977447432613D+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 1.8382409772140154D-13 log_rel_run_E_err -10.2396154882522765 (age_target - star_age)/age_sigma 350 23.4192472470 reducing max timestep prior to age target 350 1.5222510710561657D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9617127822 reducing max timestep prior to age target 351 1.4925113308428001D+08 (age_target - star_age)/age_sigma 352 22.5133290067 reducing max timestep prior to age target 352 1.4633663854337025D+08 (age_target - star_age)/age_sigma 353 22.0739129067 reducing max timestep prior to age target 353 1.4348043389327812D+08 (age_target - star_age)/age_sigma 354 21.6432851286 reducing max timestep prior to age target 354 1.4068135333618927D+08 (age_target - star_age)/age_sigma 355 21.2212699062 reducing max timestep prior to age target 355 1.3793825439024067D+08 (age_target - star_age)/age_sigma 356 20.8076949882 reducing max timestep prior to age target 356 1.3525001742321205D+08 (age_target - star_age)/age_sigma 357 20.4023915685 reducing max timestep prior to age target 357 1.3261554519552326D+08 (age_target - star_age)/age_sigma 358 20.0051942173 reducing max timestep prior to age target 358 1.3003376241238880D+08 (age_target - star_age)/age_sigma 359 19.6159408131 reducing max timestep prior to age target 359 1.2750361528491688D+08 360 7.184777 5633.263 -0.037198 -0.037198 1.000000 1.000000 0.378576 0.005466 0.243802 -1.536572 515 0 6.3944E+00 7.184777 0.002563 -43.182839 -1.664650 -99.000000 0.000000 0.600391 0.009234 0.018176 0.116000 5 4.4445E+09 2.149147 -0.037140 -15.051500 -99.000000 -6.895072 0.000000 0.000020 0.002136 0.021034 0.000E+00 max_dt rel_E_err 1.8379982041093291D-13 log_rel_run_E_err -10.2261865443069073 (age_target - star_age)/age_sigma 360 19.2344724769 reducing max timestep prior to age target 360 1.2502407109999466D+08 (age_target - star_age)/age_sigma 361 18.8606335075 reducing max timestep prior to age target 361 1.2259411779877090D+08 (age_target - star_age)/age_sigma 362 18.4942713175 reducing max timestep prior to age target 362 1.2021276356357098D+08 (age_target - star_age)/age_sigma 363 18.1352363712 reducing max timestep prior to age target 363 1.1787903641307545D+08 (age_target - star_age)/age_sigma 364 17.7833821239 reducing max timestep prior to age target 364 1.1559198380558968D+08 (age_target - star_age)/age_sigma 365 17.4385649616 reducing max timestep prior to age target 365 1.1335067225025368D+08 (age_target - star_age)/age_sigma 366 17.1006441425 reducing max timestep prior to age target 366 1.1115418692602444D+08 (age_target - star_age)/age_sigma 367 16.7694817397 reducing max timestep prior to age target 367 1.0900163130827999D+08 (age_target - star_age)/age_sigma 368 16.4449425851 reducing max timestep prior to age target 368 1.0689212680289078D+08 (age_target - star_age)/age_sigma 369 16.1268942135 reducing max timestep prior to age target 369 1.0482481238760853D+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 1.9428791811239749D-13 log_rel_run_E_err -10.2131089968868238 (age_target - star_age)/age_sigma 370 15.8152068093 reducing max timestep prior to age target 370 1.0279884426063251D+08 (age_target - star_age)/age_sigma 371 15.5097531533 reducing max timestep prior to age target 371 1.0081339549619579D+08 (age_target - star_age)/age_sigma 372 15.2104085703 reducing max timestep prior to age target 372 9.8867655707047462D+07 (age_target - star_age)/age_sigma 373 14.9170508790 reducing max timestep prior to age target 373 9.6960830713682175D+07 (age_target - star_age)/age_sigma 374 14.6295603416 reducing max timestep prior to age target 374 9.5092142220184326D+07 (age_target - star_age)/age_sigma 375 14.3478196149 reducing max timestep prior to age target 375 9.3260827496557236D+07 (age_target - star_age)/age_sigma 376 14.0717137027 reducing max timestep prior to age target 376 9.1466139067401886D+07 (age_target - star_age)/age_sigma 378 13.5305461148 reducing max timestep prior to age target 378 8.7948549746257782D+07 (age_target - star_age)/age_sigma 379 13.2653739968 reducing max timestep prior to age target 379 8.6224930978897095D+07 380 7.185481 5634.018 -0.035832 -0.035832 1.000000 1.000000 0.375275 0.005478 0.243579 -1.534782 515 0 6.2277E+00 7.185481 0.003129 -43.137387 -1.662411 -99.000000 0.000000 0.603689 0.009225 0.018161 0.116427 5 4.4850E+09 2.151962 -0.035775 -15.954590 -99.000000 -6.895991 0.000000 0.000020 0.002136 0.021037 0.000E+00 max_dt rel_E_err 1.8891015063922122D-13 log_rel_run_E_err -10.2004951691179837 (age_target - star_age)/age_sigma 380 13.0055053211 reducing max timestep prior to age target 380 8.4535784586883545D+07 (age_target - star_age)/age_sigma 381 12.7508340189 reducing max timestep prior to age target 381 8.2880421122710228D+07 (age_target - star_age)/age_sigma 382 12.5012561427 reducing max timestep prior to age target 382 8.1258164927820206D+07 (age_target - star_age)/age_sigma 383 12.2566698241 reducing max timestep prior to age target 383 7.9668353856828690D+07 (age_target - star_age)/age_sigma 384 12.0169752319 reducing max timestep prior to age target 384 7.8110339007256508D+07 (age_target - star_age)/age_sigma 385 11.7820745315 reducing max timestep prior to age target 385 7.6583484454675674D+07 (age_target - star_age)/age_sigma 386 11.5518718451 reducing max timestep prior to age target 386 7.5087166993145943D+07 (age_target - star_age)/age_sigma 387 11.3262732124 reducing max timestep prior to age target 387 7.3620775880847931D+07 (age_target - star_age)/age_sigma 388 11.1051865524 reducing max timestep prior to age target 388 7.2183712590795517D+07 (age_target - star_age)/age_sigma 389 10.8885216256 reducing max timestep prior to age target 389 7.0775390566543579D+07 390 7.185745 5634.299 -0.035320 -0.035320 1.000000 1.000000 0.374039 0.005482 0.243496 -1.534111 515 0 6.1399E+00 7.185745 0.003342 -43.120346 -1.661569 -99.000000 0.000000 0.604923 0.009221 0.018156 0.116588 5 4.5001E+09 2.153018 -0.035263 -15.477469 -99.000000 -6.896335 0.000000 0.000020 0.002137 0.021038 0.000E+00 max_dt rel_E_err 1.8289289305528723D-13 log_rel_run_E_err -10.1880002630635182 (age_target - star_age)/age_sigma 390 10.6761899974 reducing max timestep prior to age target 390 6.9395234982777596D+07 (age_target - star_age)/age_sigma 391 10.4681050016 reducing max timestep prior to age target 391 6.8042682510685921D+07 (age_target - star_age)/age_sigma 392 10.2641817059 reducing max timestep prior to age target 392 6.6717181088037491D+07 (age_target - star_age)/age_sigma 393 10.0643368760 reducing max timestep prior to age target 393 6.5418189693840981D+07 (age_target - star_age)/age_sigma 394 9.8684889427 reducing max timestep prior to age target 394 6.4145178127528191D+07 (age_target - star_age)/age_sigma 395 9.6765579681 reducing max timestep prior to age target 395 6.2897626792542458D+07 (age_target - star_age)/age_sigma 396 9.4884656130 reducing max timestep prior to age target 396 6.1675026484255791D+07 (age_target - star_age)/age_sigma 397 9.3041351049 reducing max timestep prior to age target 397 6.0476878182134628D+07 (age_target - star_age)/age_sigma 398 9.1234912071 reducing max timestep prior to age target 398 5.9302692846056938D+07 (age_target - star_age)/age_sigma 399 8.9464601872 reducing max timestep prior to age target 399 5.8151991216699600D+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 -15.954590 -99.000000 -6.896617 0.000000 0.000021 0.002137 0.021039 0.000E+00 max_dt rel_E_err 1.7216211496832866D-13 log_rel_run_E_err -10.1758870190237456 (age_target - star_age)/age_sigma 400 8.7729697877 reducing max timestep prior to age target 400 5.7024303619930267D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.6029491962 reducing max timestep prior to age target 401 5.5919169775095940D+07 (age_target - star_age)/age_sigma 402 8.4363290165 reducing max timestep prior to age target 402 5.4836138607158661D+07 (age_target - star_age)/age_sigma 403 8.2730412404 reducing max timestep prior to age target 403 5.3774768062580109D+07 (age_target - star_age)/age_sigma 404 8.1130192198 reducing max timestep prior to age target 404 5.2734624928892136D+07 (age_target - star_age)/age_sigma 405 7.9561976397 reducing max timestep prior to age target 405 5.1715284657878876D+07 (age_target - star_age)/age_sigma 406 7.8025124911 reducing max timestep prior to age target 406 5.0716331192285538D+07 (age_target - star_age)/age_sigma 407 7.6519010455 reducing max timestep prior to age target 407 4.9737356796004295D+07 (age_target - star_age)/age_sigma 408 7.5043018289 reducing max timestep prior to age target 408 4.8777961887649536D+07 (age_target - star_age)/age_sigma 409 7.3596545965 reducing max timestep prior to age target 409 4.7837754877460480D+07 410 7.186138 5634.714 -0.034559 -0.034559 1.000000 1.000000 0.372202 0.005488 0.243373 -1.533110 515 0 5.9644E+00 7.186138 0.003658 -43.095008 -1.660314 -99.000000 0.000000 0.606758 0.009215 0.018148 0.116828 3 4.5226E+09 2.154591 -0.034502 -99.000000 -99.000000 -6.896847 0.000000 0.000021 0.002137 0.021040 0.000E+00 max_dt rel_E_err 1.8801851976829467D-13 log_rel_run_E_err -10.1642513082938297 (age_target - star_age)/age_sigma 410 7.2179003088 reducing max timestep prior to age target 410 4.6916352007476807D+07 (age_target - star_age)/age_sigma 411 7.0789811069 reducing max timestep prior to age target 411 4.6013377194890976D+07 (age_target - star_age)/age_sigma 412 6.9428402890 reducing max timestep prior to age target 412 4.5128461878558159D+07 (age_target - star_age)/age_sigma 414 6.6760042859 reducing max timestep prior to age target 414 4.3394027858544350D+07 (age_target - star_age)/age_sigma 415 6.5452546444 reducing max timestep prior to age target 415 4.2544155188737869D+07 (age_target - star_age)/age_sigma 416 6.4171199957 reducing max timestep prior to age target 416 4.1711279972327232D+07 (age_target - star_age)/age_sigma 417 6.2915480400 reducing max timestep prior to age target 417 4.0895062260245323D+07 (age_target - star_age)/age_sigma 418 6.1684875234 reducing max timestep prior to age target 418 4.0095168902404785D+07 (age_target - star_age)/age_sigma 419 6.0478882172 reducing max timestep prior to age target 419 3.9311273411721230D+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 1.9744369003094235D-13 log_rel_run_E_err -10.1511936488458634 (age_target - star_age)/age_sigma 420 5.9297008971 reducing max timestep prior to age target 420 3.8543055830850601D+07 (age_target - star_age)/age_sigma 421 5.8138773233 reducing max timestep prior to age target 421 3.7790202601597786D+07 (age_target - star_age)/age_sigma 422 5.7003702211 reducing max timestep prior to age target 422 3.7052406436930656D+07 (age_target - star_age)/age_sigma 423 5.5891332609 reducing max timestep prior to age target 423 3.6329366195555687D+07 (age_target - star_age)/age_sigma 424 5.4801210398 reducing max timestep prior to age target 424 3.5620786759009361D+07 (age_target - star_age)/age_sigma 425 5.3732890633 reducing max timestep prior to age target 425 3.4926378911192894D+07 (age_target - star_age)/age_sigma 426 5.2685937262 reducing max timestep prior to age target 426 3.4245859220334053D+07 (age_target - star_age)/age_sigma 427 5.1659922959 reducing max timestep prior to age target 427 3.3578949923291206D+07 (age_target - star_age)/age_sigma 428 5.0654428942 reducing max timestep prior to age target 428 3.2925378812189102D+07 (age_target - star_age)/age_sigma 429 4.9661204845 remaining steps and years until age target 429 50 3.2279783149205208D+07 430 7.186406 5634.998 -0.034040 -0.034040 1.000000 1.000000 0.370952 0.005493 0.243284 -1.532428 515 0 5.8100E+00 7.186406 0.003874 -43.077749 -1.659458 -99.000000 0.000000 0.608007 0.009211 0.018142 0.116992 3 4.5379E+09 2.155662 -0.033984 -15.477469 -99.000000 -6.897196 0.000000 0.000021 0.002137 0.021041 0.000E+00 max_dt rel_E_err 1.9314969529678096D-13 log_rel_run_E_err -10.1397605455350686 (age_target - star_age)/age_sigma 430 4.8667980748 remaining steps and years until age target 430 49 3.1634187486221313D+07 (age_target - star_age)/age_sigma 431 4.7674756651 reducing max timestep prior to age target 431 3.0988591823236465D+07 (age_target - star_age)/age_sigma 432 4.6681532554 remaining steps and years until age target 432 47 3.0342996160252571D+07 (age_target - star_age)/age_sigma 433 4.5688308457 remaining steps and years until age target 433 46 2.9697400497268677D+07 (age_target - star_age)/age_sigma 434 4.4695084360 reducing max timestep prior to age target 434 2.9051804834283829D+07 (age_target - star_age)/age_sigma 435 4.3701860264 remaining steps and years until age target 435 44 2.8406209171299934D+07 (age_target - star_age)/age_sigma 436 4.2708636167 reducing max timestep prior to age target 436 2.7760613508315086D+07 (age_target - star_age)/age_sigma 437 4.1715412070 remaining steps and years until age target 437 42 2.7115017845331192D+07 (age_target - star_age)/age_sigma 438 4.0722187973 remaining steps and years until age target 438 41 2.6469422182347298D+07 (age_target - star_age)/age_sigma 439 3.9728963876 reducing max timestep prior to age target 439 2.5823826519362450D+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 1.7878120026511993D-13 log_rel_run_E_err -10.1290613810311676 (age_target - star_age)/age_sigma 440 3.8735739779 remaining steps and years until age target 440 39 2.5178230856378555D+07 (age_target - star_age)/age_sigma 441 3.7742515682 reducing max timestep prior to age target 441 2.4532635193393707D+07 (age_target - star_age)/age_sigma 442 3.6749291585 remaining steps and years until age target 442 37 2.3887039530409813D+07 (age_target - star_age)/age_sigma 443 3.5756067488 remaining steps and years until age target 443 36 2.3241443867425919D+07 (age_target - star_age)/age_sigma 444 3.4762843391 reducing max timestep prior to age target 444 2.2595848204441071D+07 (age_target - star_age)/age_sigma 445 3.3769619295 remaining steps and years until age target 445 34 2.1950252541457176D+07 (age_target - star_age)/age_sigma 446 3.2776395198 remaining steps and years until age target 446 33 2.1304656878473282D+07 (age_target - star_age)/age_sigma 447 3.1783171101 reducing max timestep prior to age target 447 2.0659061215488434D+07 (age_target - star_age)/age_sigma 448 3.0789947004 remaining steps and years until age target 448 31 2.0013465552504539D+07 (age_target - star_age)/age_sigma 449 2.9796722907 reducing max timestep prior to age target 449 1.9367869889519691D+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 1.8799312462897024D-13 log_rel_run_E_err -10.1186433428967568 (age_target - star_age)/age_sigma 450 2.8803498810 remaining steps and years until age target 450 29 1.8722274226536751D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7810274713 reducing max timestep prior to age target 451 1.8076678563551903D+07 (age_target - star_age)/age_sigma 452 2.6817050616 remaining steps and years until age target 452 27 1.7431082900568008D+07 (age_target - star_age)/age_sigma 453 2.5823826519 remaining steps and years until age target 453 26 1.6785487237585068D+07 (age_target - star_age)/age_sigma 454 2.4830602422 reducing max timestep prior to age target 454 1.6139891574600220D+07 (age_target - star_age)/age_sigma 455 2.3837378326 remaining steps and years until age target 455 24 1.5494295911616325D+07 (age_target - star_age)/age_sigma 456 2.2844154229 reducing max timestep prior to age target 456 1.4848700248631477D+07 (age_target - star_age)/age_sigma 457 2.1850930132 remaining steps and years until age target 457 22 1.4203104585648537D+07 (age_target - star_age)/age_sigma 458 2.0857706035 reducing max timestep prior to age target 458 1.3557508922663689D+07 (age_target - star_age)/age_sigma 459 1.9864481938 remaining steps and years until age target 459 20 1.2911913259679794D+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 -15.352530 -99.000000 -6.897640 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt rel_E_err 1.9699013345570558D-13 log_rel_run_E_err -10.1082764269189891 (age_target - star_age)/age_sigma 460 1.8871257841 remaining steps and years until age target 460 19 1.2266317596695900D+07 (age_target - star_age)/age_sigma 461 1.7878033744 remaining steps and years until age target 461 18 1.1620721933712959D+07 (age_target - star_age)/age_sigma 462 1.6884809647 reducing max timestep prior to age target 462 1.0975126270728111D+07 (age_target - star_age)/age_sigma 463 1.5891585550 remaining steps and years until age target 463 16 1.0329530607744217D+07 (age_target - star_age)/age_sigma 464 1.4898361453 reducing max timestep prior to age target 464 9.6839349447593689D+06 (age_target - star_age)/age_sigma 465 1.3905137357 remaining steps and years until age target 465 14 9.0383392817764282D+06 (age_target - star_age)/age_sigma 466 1.2911913260 reducing max timestep prior to age target 466 8.3927436187915802D+06 (age_target - star_age)/age_sigma 467 1.1918689163 remaining steps and years until age target 467 12 7.7471479558076859D+06 (age_target - star_age)/age_sigma 468 1.0925465066 remaining steps and years until age target 468 11 7.1015522928247452D+06 (age_target - star_age)/age_sigma 469 0.9932240969 reducing max timestep prior to age target 469 6.4559566298398972D+06 470 7.186860 5635.480 -0.033163 -0.033163 1.000000 1.000000 0.368838 0.005501 0.243129 -1.531274 515 0 5.8100E+00 7.186860 0.004238 -43.048522 -1.658005 -99.000000 0.000000 0.610119 0.009205 0.018132 0.117270 3 4.5637E+09 2.157477 -0.033107 -99.000000 -99.000000 -6.897788 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt rel_E_err 1.9162540550521280D-13 log_rel_run_E_err -10.0980211429045426 (age_target - star_age)/age_sigma 470 0.8939016872 remaining steps and years until age target 470 9 5.8103609668560028D+06 (age_target - star_age)/age_sigma 471 0.7945792775 remaining steps and years until age target 471 8 5.1647653038721085D+06 (age_target - star_age)/age_sigma 472 0.6952568678 remaining steps and years until age target 472 7 4.5191696408882141D+06 (age_target - star_age)/age_sigma 473 0.5959344581 remaining steps and years until age target 473 6 3.8735739779043198D+06 (age_target - star_age)/age_sigma 474 0.4966120484 reducing max timestep prior to age target 474 3.2279783149194717D+06 (age_target - star_age)/age_sigma 475 0.3972896388 remaining steps and years until age target 475 4 2.5823826519355774D+06 (age_target - star_age)/age_sigma 476 0.2979672291 remaining steps and years until age target 476 3 1.9367869889526367D+06 (age_target - star_age)/age_sigma 477 0.1986448194 remaining steps and years until age target 477 2 1.2911913259687424D+06 (age_target - star_age)/age_sigma 478 0.0993224097 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07 save outputs/best.mod 479 save outputs/best.profile for model 479 save LOGS/profile11.data for model 479 have reached age_target save LOGS/profile11.data for model 479 solver retries 4 varcontrol dt limit 122 max increase dt limit 1608 lgRho_cntr dt limit 55 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07 have reached age_target runtime (minutes), retries, steps 2.55 0 479 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 479 7.186963 5635.588 -0.032965 -0.032965 1.000000 1.000000 0.368362 0.005502 0.243095 -1.531013 515 0 5.8100E+00 7.186963 0.004320 -43.041936 -1.657677 -99.000000 0.000000 0.610595 0.009203 0.018129 0.117333 3 4.5695E+09 2.157886 -0.032909 -15.954590 -99.000000 -6.897921 0.000000 0.000021 0.002138 0.021044 0.000E+00 max_dt rel_E_err 1.9419217380540082D-13 log_rel_run_E_err -10.0891237352598164 Teff 5635.5878078364 radius 1.0099970103 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 99.9402149500 M_H 0.0294662156 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 868.2578593993 log_R 0.0043200882 delta_nu 139.4758215534 nu_max 3053.6692076816 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 333656.0660247831 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 "9dea5ab" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251009" "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 3.3351283960191562E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383755896E+03 1.0231407131232713E+00 -1.7395981987816708E-03 9.9353665865147631E-03 1.3680762272707830E+02 2.9640776267841038E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191562E+05 0 0 0 0 0 0 0 3 3.3365606602478313E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078364049E+03 1.0099970103005844E+00 2.9466215559506938E-02 4.3200882263252959E-03 1.3947582155337045E+02 3.0536692076816480E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602478313E+05 0 0 0 0 0 0 0 2 3.3468070564326667E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399265890E+03 1.0622782375811581E+00 -1.2788199778892683E-02 2.6238284372221875E-02 1.2938435093838254E+02 2.7294282123468802E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326667E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 2.1349999999999998D+00 4.5000000000000001D-01 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 10 5.954489 4784.847 -12.856103 -12.856103 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 404 0 -5.0000E+00 5.954482 0.953981 -99.000000 -14.253969 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0000E-04 -1.867484 1.582129 -99.000000 -99.000000 -7.771016 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954490 4649.587 -12.856112 -12.856112 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 405 0 -5.0000E+00 5.954483 0.953814 -99.000000 -14.253978 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 2.0000E-04 -1.867482 1.531978 -99.000000 -99.000000 -7.748735 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954491 4585.439 -12.856116 -12.856116 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 404 0 -5.0000E+00 5.954483 0.953710 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 3.0000E-04 -1.867482 1.507638 -99.000000 -99.000000 -7.733582 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954491 4547.131 -12.856119 -12.856119 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 405 0 -5.0000E+00 5.954484 0.953638 -99.000000 -14.253985 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 4.0000E-04 -1.867481 1.492919 -28.597850 -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 3 5.0000E-04 -1.867481 1.482364 -28.597850 -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 3.9251984514623878D-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 1.9793094843625286D-01 30 6.002792 4417.348 -12.186359 -12.186359 1.000000 1.000000 0.700000 0.001010 0.279998 -6.239865 404 0 3.4640E+00 6.002792 0.903884 -99.000000 -13.584224 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.7770E+03 -1.727204 1.343107 -99.000000 -99.000000 -7.622870 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501201576994D-08 40 6.181888 4529.268 -9.814064 -9.814064 1.000000 1.000000 0.700000 0.001010 0.279976 -5.619112 423 0 4.0274E+00 6.181888 0.718505 -99.000000 -11.211923 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071111 3 7.3939E+04 -1.189514 1.015816 -99.000000 -99.000000 -7.442933 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128502311800019D-08 50 6.359711 4578.875 -7.700105 -7.700105 1.000000 1.000000 0.700000 0.001010 0.279870 -5.002863 434 0 4.5422E+00 6.359711 0.536260 -99.000000 -9.097948 -99.000000 0.000000 0.280000 0.009381 0.019894 0.071124 3 2.9002E+05 -0.655809 0.670250 -23.480340 -99.000000 -7.242625 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128502311800019D-08 60 6.533813 4575.555 -5.833381 -5.833381 1.000000 1.000000 0.700000 0.001010 0.279543 -4.398830 452 0 5.0646E+00 6.533813 0.358981 -99.000000 -7.231181 -99.000000 0.000000 0.280000 0.009381 0.019677 0.071139 3 1.0061E+06 -0.133217 0.314431 -99.000000 -99.000000 -7.004266 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128502533844624D-08 finished relax to begin radiative core 66 1.2918547192833703D-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 2.7322994624366339D-13 log_rel_run_E_err -11.5661871595211565 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 2.6397418919363022D-13 log_rel_run_E_err -11.2698606528124099 30 6.624871 4382.311 -4.877896 -4.877896 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -2.7037E+00 6.624871 0.260027 -99.000000 -6.275642 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.1819E-02 0.163108 0.041561 -99.000000 -99.000000 -6.921033 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7322994576631530D-13 log_rel_run_E_err -11.0984537797395664 40 6.624872 4381.702 -4.877894 -4.877894 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -1.9119E+00 6.624872 0.260029 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 7.3439E-02 0.163110 0.041323 -99.000000 -99.000000 -6.920788 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6952764046089857D-13 log_rel_run_E_err -10.9769957096146857 50 6.624872 4380.075 -4.877894 -4.877894 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -1.1201E+00 6.624872 0.260018 -99.000000 -6.275640 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 6 4.5497E-01 0.163110 0.040656 -99.000000 -99.000000 -6.920111 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4879473066802568D-13 log_rel_run_E_err -10.8807495764853908 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 2.6360384658593941D-13 log_rel_run_E_err -10.8015583040218814 70 6.624873 4380.043 -4.877883 -4.877883 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022541 458 0 4.6351E-01 6.624873 0.260017 -99.000000 -6.275630 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.7444E+01 0.163114 0.040640 -20.470040 -99.000000 -6.920097 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7415479817998303D-13 log_rel_run_E_err -10.7344874060109081 80 6.624878 4380.037 -4.877828 -4.877828 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022515 458 0 1.2553E+00 6.624878 0.260011 -99.000000 -6.275575 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.0801E+02 0.163132 0.040626 -99.000000 -99.000000 -6.920087 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6082296852040224D-13 log_rel_run_E_err -10.6768887354410715 90 6.624908 4379.997 -4.877488 -4.877488 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022357 458 0 2.0471E+00 6.624908 0.259975 -99.000000 -6.275235 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071817 2 6.6878E+02 0.163246 0.040539 -20.169010 -99.000000 -6.920028 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6857488854223160D-13 log_rel_run_E_err -10.6252258170745844 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.625095 4379.751 -4.875383 -4.875383 1.000000 1.000000 0.711274 0.000946 0.270000 -4.021376 458 0 2.8389E+00 6.625095 0.259754 -99.000000 -6.273129 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071824 2 4.1409E+03 0.163950 0.039999 -99.000000 -99.000000 -6.919664 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4290408031725868D-13 log_rel_run_E_err -10.5805721567307547 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 -19.925972 -99.000000 -6.917419 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6424975953939030D-13 log_rel_run_E_err -10.5411125591739179 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 -19.992918 -99.000000 -6.903948 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6374892103039260D-13 log_rel_run_E_err -10.4859212342820101 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 2.6434281927197129D-13 log_rel_run_E_err -10.4759286977358475 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 2.5156375133441468D-13 log_rel_run_E_err -10.5599152506296434 150 6.874453 4588.938 -2.201637 -2.201637 1.000000 1.000000 0.711256 0.000946 0.269993 -2.192222 473 0 6.0270E+00 6.874453 0.033990 -99.000000 -3.598388 -99.000000 0.000000 0.270017 0.008783 0.018725 0.098159 4 1.4735E+07 1.318979 -0.330478 -99.000000 -99.000000 -6.724419 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.0755718749127845D-13 log_rel_run_E_err -10.4334233050941307 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 1.7897065352633721D-13 log_rel_run_E_err -10.5016483446246731 (age_target - star_age)/age_sigma 168 694.7983444887 reducing max timestep prior to age target 168 4.5161892391766710D+09 170 7.130814 5598.043 -0.158242 -0.158242 1.000000 1.000000 0.708772 0.003375 0.269716 -1.718416 510 0 6.9251E+00 7.130814 -0.051981 -47.215485 -1.763117 -99.000000 0.000000 0.272149 0.008786 0.018709 0.085247 5 6.8741E+07 1.901359 -0.157124 -99.000000 -99.000000 -6.810200 0.000000 0.001147 0.001953 0.019079 0.000E+00 max increase rel_E_err 1.9350082725436788D-13 log_rel_run_E_err -10.5279014980152219 (age_target - star_age)/age_sigma 175 680.8615072438 reducing max timestep prior to age target 175 4.4255997970847569D+09 (age_target - star_age)/age_sigma 178 666.7877671658 reducing max timestep prior to age target 178 4.3341204865777483D+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 1.8641950070168434D-13 log_rel_run_E_err -10.5034752829010944 (age_target - star_age)/age_sigma 180 652.0892148909 reducing max timestep prior to age target 180 4.2385798967910881D+09 (age_target - star_age)/age_sigma 182 630.9232996151 reducing max timestep prior to age target 182 4.1010014474982982D+09 (age_target - star_age)/age_sigma 183 618.6043557574 reducing max timestep prior to age target 183 4.0209283124233184D+09 (age_target - star_age)/age_sigma 184 606.5317907769 reducing max timestep prior to age target 184 3.9424566400498385D+09 (age_target - star_age)/age_sigma 185 594.7006770960 reducing max timestep prior to age target 185 3.8655544011238279D+09 (age_target - star_age)/age_sigma 186 583.1061856887 reducing max timestep prior to age target 186 3.7901902069763379D+09 (age_target - star_age)/age_sigma 187 571.7435841095 reducing max timestep prior to age target 187 3.7163332967117977D+09 (age_target - star_age)/age_sigma 188 560.6082345619 reducing max timestep prior to age target 188 3.6439535246525478D+09 (age_target - star_age)/age_sigma 189 549.6955920053 reducing max timestep prior to age target 189 3.5730213480344834D+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 1.8403425741730634D-13 log_rel_run_E_err -10.4798224276058729 (age_target - star_age)/age_sigma 190 539.0012022998 reducing max timestep prior to age target 190 3.5035078149487801D+09 (age_target - star_age)/age_sigma 191 528.5207003884 reducing max timestep prior to age target 191 3.4353845525247908D+09 (age_target - star_age)/age_sigma 192 518.2498085153 reducing max timestep prior to age target 192 3.3686237553492813D+09 (age_target - star_age)/age_sigma 193 508.1843344796 reducing max timestep prior to age target 193 3.3031981741172824D+09 (age_target - star_age)/age_sigma 194 498.3201699246 reducing max timestep prior to age target 194 3.2390811045099230D+09 (age_target - star_age)/age_sigma 195 488.6532886607 reducing max timestep prior to age target 195 3.1762463762947111D+09 (age_target - star_age)/age_sigma 196 479.1797450221 reducing max timestep prior to age target 196 3.1146683426438036D+09 (age_target - star_age)/age_sigma 197 469.8956722563 reducing max timestep prior to age target 197 3.0543218696659136D+09 (age_target - star_age)/age_sigma 198 460.7972809458 reducing max timestep prior to age target 198 2.9951823261475821D+09 (age_target - star_age)/age_sigma 199 451.8808574615 reducing max timestep prior to age target 199 2.9372255734996166D+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 1.8126331716415946D-13 log_rel_run_E_err -10.4581779364914347 (age_target - star_age)/age_sigma 200 443.1427624469 reducing max timestep prior to age target 200 2.8804279559046106D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 434.5794293325 reducing max timestep prior to age target 201 2.8247662906615047D+09 (age_target - star_age)/age_sigma 202 426.1873628805 reducing max timestep prior to age target 202 2.7702178587232614D+09 (age_target - star_age)/age_sigma 203 417.9631377575 reducing max timestep prior to age target 203 2.7167603954237823D+09 (age_target - star_age)/age_sigma 204 409.9033971370 reducing max timestep prior to age target 204 2.6643720813902931D+09 (age_target - star_age)/age_sigma 205 402.0048513288 reducing max timestep prior to age target 205 2.6130315336374741D+09 (age_target - star_age)/age_sigma 206 394.2642764369 reducing max timestep prior to age target 206 2.5627177968397107D+09 (age_target - star_age)/age_sigma 207 386.6785130428 reducing max timestep prior to age target 207 2.5134103347779031D+09 (age_target - star_age)/age_sigma 209 371.8104167903 reducing max timestep prior to age target 209 2.4167677091367598D+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 1.8398627103561741D-13 log_rel_run_E_err -10.4363327579541902 (age_target - star_age)/age_sigma 210 364.5250496266 reducing max timestep prior to age target 210 2.3694128225725994D+09 (age_target - star_age)/age_sigma 211 357.3853898061 reducing max timestep prior to age target 211 2.3230050337397223D+09 (age_target - star_age)/age_sigma 212 350.3885231821 reducing max timestep prior to age target 212 2.2775254006835032D+09 (age_target - star_age)/age_sigma 213 343.5315938905 reducing max timestep prior to age target 213 2.2329553602884078D+09 (age_target - star_age)/age_sigma 214 336.8118031848 reducing max timestep prior to age target 214 2.1892767207012148D+09 (age_target - star_age)/age_sigma 215 330.2264082932 reducing max timestep prior to age target 215 2.1464716539057655D+09 (age_target - star_age)/age_sigma 216 323.7727212994 reducing max timestep prior to age target 216 2.1045226884462256D+09 (age_target - star_age)/age_sigma 217 317.4481080455 reducing max timestep prior to age target 217 2.0634127022958760D+09 (age_target - star_age)/age_sigma 218 311.2499870567 reducing max timestep prior to age target 218 2.0231249158685336D+09 (age_target - star_age)/age_sigma 219 305.1758284877 reducing max timestep prior to age target 219 1.9836428851697378D+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 1.7624379699278457D-13 log_rel_run_E_err -10.4156623510943529 (age_target - star_age)/age_sigma 220 299.2231530900 reducing max timestep prior to age target 220 1.9449504950849180D+09 (age_target - star_age)/age_sigma 221 293.3895312003 reducing max timestep prior to age target 221 1.9070319528017950D+09 (age_target - star_age)/age_sigma 222 287.6725817484 reducing max timestep prior to age target 222 1.8698717813643341D+09 (age_target - star_age)/age_sigma 223 282.0699712855 reducing max timestep prior to age target 223 1.8334548133556223D+09 (age_target - star_age)/age_sigma 224 276.5794130319 reducing max timestep prior to age target 224 1.7977661847070851D+09 (age_target - star_age)/age_sigma 225 271.1986659433 reducing max timestep prior to age target 225 1.7627913286315184D+09 (age_target - star_age)/age_sigma 226 265.9255337965 reducing max timestep prior to age target 226 1.7285159696774631D+09 (age_target - star_age)/age_sigma 227 260.7578642927 reducing max timestep prior to age target 227 1.6949261179024887D+09 (age_target - star_age)/age_sigma 228 255.6935481789 reducing max timestep prior to age target 228 1.6620080631630139D+09 (age_target - star_age)/age_sigma 229 250.7305183874 reducing max timestep prior to age target 229 1.6297483695183287D+09 230 7.166203 5683.811 -0.061083 -0.061083 1.000000 1.000000 0.485933 0.004919 0.251682 -1.588704 508 0 7.4999E+00 7.166203 -0.017133 -44.457149 -1.709309 -99.000000 0.000000 0.494416 0.008826 0.017596 0.103480 10 2.9714E+09 2.067752 -0.061014 -99.000000 -99.000000 -6.878404 0.000000 0.000017 0.001992 0.019650 0.000E+00 max_dt rel_E_err 1.7997950824933507D-13 log_rel_run_E_err -10.3960863435498378 (age_target - star_age)/age_sigma 230 245.8667491918 reducing max timestep prior to age target 230 1.5981338697465372D+09 (age_target - star_age)/age_sigma 231 241.1002553800 reducing max timestep prior to age target 231 1.5671516599701819D+09 (age_target - star_age)/age_sigma 232 236.4290914445 reducing max timestep prior to age target 232 1.5367890943893533D+09 (age_target - star_age)/age_sigma 233 231.8513507877 reducing max timestep prior to age target 233 1.5070337801201415D+09 (age_target - star_age)/age_sigma 234 227.3651649440 reducing max timestep prior to age target 234 1.4778735721363134D+09 (age_target - star_age)/age_sigma 235 222.9687028173 reducing max timestep prior to age target 235 1.4492965683121619D+09 (age_target - star_age)/age_sigma 236 218.6601699330 reducing max timestep prior to age target 236 1.4212911045644941D+09 (age_target - star_age)/age_sigma 237 214.4378077064 reducing max timestep prior to age target 237 1.3938457500917792D+09 (age_target - star_age)/age_sigma 238 210.2998927244 reducing max timestep prior to age target 238 1.3669493027085190D+09 (age_target - star_age)/age_sigma 239 206.2447360420 reducing max timestep prior to age target 239 1.3405907842729235D+09 240 7.170582 5690.150 -0.051886 -0.051886 1.000000 1.000000 0.462916 0.004960 0.250007 -1.577884 509 0 7.4121E+00 7.170582 -0.013504 -44.157261 -1.696165 -99.000000 0.000000 0.517403 0.008806 0.017492 0.105767 10 3.2547E+09 2.085457 -0.051819 -15.352530 -99.000000 -6.885153 0.000000 0.000017 0.001996 0.019682 0.000E+00 max_dt rel_E_err 1.7455775906243832D-13 log_rel_run_E_err -10.3778002010960630 (age_target - star_age)/age_sigma 240 202.2706824932 reducing max timestep prior to age target 240 1.3147594362060399D+09 (age_target - star_age)/age_sigma 241 198.3761100155 reducing max timestep prior to age target 241 1.2894447151004944D+09 (age_target - star_age)/age_sigma 242 194.5594289872 reducing max timestep prior to age target 242 1.2646362884170594D+09 (age_target - star_age)/age_sigma 244 187.0787341719 reducing max timestep prior to age target 244 1.2160117721175275D+09 (age_target - star_age)/age_sigma 245 183.4131937124 reducing max timestep prior to age target 245 1.1921857591307569D+09 (age_target - star_age)/age_sigma 246 179.8209640621 reducing max timestep prior to age target 246 1.1688362664037213D+09 (age_target - star_age)/age_sigma 247 176.3005790048 reducing max timestep prior to age target 247 1.1459537635312266D+09 (age_target - star_age)/age_sigma 248 172.8506016486 reducing max timestep prior to age target 248 1.1235289107161818D+09 (age_target - star_age)/age_sigma 249 169.4696238396 reducing max timestep prior to age target 249 1.1015525549574375D+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 -99.000000 -99.000000 -6.890854 0.000000 0.000018 0.001999 0.019706 0.000E+00 max_dt rel_E_err 1.7989526129128005D-13 log_rel_run_E_err -10.3599561425537079 (age_target - star_age)/age_sigma 250 166.1562655867 reducing max timestep prior to age target 250 1.0800157263138685D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 162.9091744989 reducing max timestep prior to age target 251 1.0589096342431712D+09 (age_target - star_age)/age_sigma 252 159.7270252329 reducing max timestep prior to age target 252 1.0382256640138874D+09 (age_target - star_age)/age_sigma 253 156.6085189522 reducing max timestep prior to age target 253 1.0179553731891894D+09 (age_target - star_age)/age_sigma 254 153.5523827971 reducing max timestep prior to age target 254 9.9809048818098545D+08 (age_target - star_age)/age_sigma 255 150.5573693651 reducing max timestep prior to age target 255 9.7862290087294531D+08 (age_target - star_age)/age_sigma 256 147.6222562017 reducing max timestep prior to age target 256 9.5954466531106663D+08 (age_target - star_age)/age_sigma 257 144.7458453016 reducing max timestep prior to age target 257 9.4084799446042490D+08 (age_target - star_age)/age_sigma 258 141.9269626195 reducing max timestep prior to age target 258 9.2252525702679586D+08 (age_target - star_age)/age_sigma 259 139.1644575911 reducing max timestep prior to age target 259 9.0456897434183979D+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 1.8055964545385326D-13 log_rel_run_E_err -10.3429317547241375 (age_target - star_age)/age_sigma 260 136.4572026632 reducing max timestep prior to age target 260 8.8697181731058264D+08 (age_target - star_age)/age_sigma 261 133.8040928338 reducing max timestep prior to age target 261 8.6972660341995096D+08 (age_target - star_age)/age_sigma 262 131.2040452011 reducing max timestep prior to age target 262 8.5282629380713177D+08 (age_target - star_age)/age_sigma 263 128.6559985210 reducing max timestep prior to age target 263 8.3626399038656902D+08 (age_target - star_age)/age_sigma 264 126.1589127745 reducing max timestep prior to age target 264 8.2003293303441715D+08 (age_target - star_age)/age_sigma 265 123.7117687430 reducing max timestep prior to age target 265 8.0412649682930851D+08 (age_target - star_age)/age_sigma 266 121.3135675920 reducing max timestep prior to age target 266 7.8853818934830236D+08 (age_target - star_age)/age_sigma 267 118.9633304641 reducing max timestep prior to age target 267 7.7326164801691580D+08 (age_target - star_age)/age_sigma 268 116.6600980788 reducing max timestep prior to age target 268 7.5829063751215696D+08 (age_target - star_age)/age_sigma 269 114.4029303412 reducing max timestep prior to age target 269 7.4361904721749401D+08 270 7.180293 5702.705 -0.032327 -0.032327 1.000000 1.000000 0.414494 0.005068 0.246428 -1.553877 508 0 7.1577E+00 7.180293 -0.005641 -43.516208 -1.666734 -99.000000 0.000000 0.565765 0.008733 0.017270 0.111022 10 3.8403E+09 2.124300 -0.032265 -99.000000 -99.000000 -6.899559 0.000000 0.000018 0.002003 0.019741 0.000E+00 max_dt rel_E_err 1.8510508030798373D-13 log_rel_run_E_err -10.3262158547429461 (age_target - star_age)/age_sigma 270 112.1909059583 reducing max timestep prior to age target 270 7.2924088872872353D+08 (age_target - star_age)/age_sigma 271 110.0231220630 reducing max timestep prior to age target 271 7.1515029340972900D+08 (age_target - star_age)/age_sigma 272 107.8986938457 reducing max timestep prior to age target 272 7.0134150999711418D+08 (age_target - star_age)/age_sigma 273 105.8167541927 reducing max timestep prior to age target 273 6.8780890225275183D+08 (age_target - star_age)/age_sigma 274 103.7764533328 reducing max timestep prior to age target 274 6.7454694666327620D+08 (age_target - star_age)/age_sigma 275 101.7769584901 reducing max timestep prior to age target 275 6.6155023018559027D+08 (age_target - star_age)/age_sigma 276 99.8174535442 reducing max timestep prior to age target 276 6.4881344803745842D+08 (age_target - star_age)/age_sigma 277 97.8971386973 reducing max timestep prior to age target 277 6.3633140153228903D+08 (age_target - star_age)/age_sigma 279 94.1333215973 reducing max timestep prior to age target 279 6.1186659038215637D+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 9 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 1.6535088900612975D-13 log_rel_run_E_err -10.3102634195945946 (age_target - star_age)/age_sigma 280 92.2890512182 reducing max timestep prior to age target 280 5.9987883291859150D+08 (age_target - star_age)/age_sigma 281 90.4816662468 reducing max timestep prior to age target 281 5.8813083060429811D+08 (age_target - star_age)/age_sigma 282 88.7104289748 reducing max timestep prior to age target 282 5.7661778833629036D+08 (age_target - star_age)/age_sigma 283 86.9746164483 reducing max timestep prior to age target 283 5.6533500691364241D+08 (age_target - star_age)/age_sigma 284 85.2735201722 reducing max timestep prior to age target 284 5.5427788111944818D+08 (age_target - star_age)/age_sigma 285 83.6064458217 reducing max timestep prior to age target 285 5.4344189784113789D+08 (age_target - star_age)/age_sigma 286 81.9727129582 reducing max timestep prior to age target 286 5.3282263422839355D+08 (age_target - star_age)/age_sigma 287 80.3716547520 reducing max timestep prior to age target 287 5.2241575588790417D+08 (age_target - star_age)/age_sigma 288 78.8026177099 reducing max timestep prior to age target 288 5.1221701511422443D+08 (age_target - star_age)/age_sigma 289 77.2649614086 reducing max timestep prior to age target 289 5.0222224915601826D+08 290 7.184383 5707.432 -0.024215 -0.024215 1.000000 1.000000 0.394530 0.005126 0.245028 -1.543572 509 0 6.9910E+00 7.184383 -0.002306 -43.248093 -1.653865 -99.000000 0.000000 0.585709 0.008687 0.017184 0.113400 5 4.0771E+09 2.140758 -0.024156 -99.000000 -99.000000 -6.905509 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.8082531512447038D-13 log_rel_run_E_err -10.2946741837947506 (age_target - star_age)/age_sigma 290 75.7580582334 reducing max timestep prior to age target 290 4.9242737851697683D+08 (age_target - star_age)/age_sigma 291 74.2812931216 reducing max timestep prior to age target 291 4.8282840529071569D+08 (age_target - star_age)/age_sigma 292 72.8340633122 reducing max timestep prior to age target 292 4.7342141152897978D+08 (age_target - star_age)/age_sigma 293 71.4157780988 reducing max timestep prior to age target 293 4.6420255764247847D+08 (age_target - star_age)/age_sigma 294 70.0258585898 reducing max timestep prior to age target 294 4.5516808083370686D+08 (age_target - star_age)/age_sigma 295 68.6637374709 reducing max timestep prior to age target 295 4.4631429356111145D+08 (age_target - star_age)/age_sigma 296 67.3288587745 reducing max timestep prior to age target 296 4.3763758203396749D+08 (age_target - star_age)/age_sigma 297 66.0206776519 reducing max timestep prior to age target 297 4.2913440473736668D+08 (age_target - star_age)/age_sigma 298 64.7386601518 reducing max timestep prior to age target 298 4.2080129098669767D+08 (age_target - star_age)/age_sigma 299 63.4822830017 reducing max timestep prior to age target 299 4.1263483951104212D+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 -15.477469 -99.000000 -6.907729 0.000000 0.000019 0.002008 0.019768 0.000E+00 max_dt rel_E_err 1.9289359644595565D-13 log_rel_run_E_err -10.2794587910025452 (age_target - star_age)/age_sigma 300 62.2510333946 reducing max timestep prior to age target 300 4.0463171706489992D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.0444087796 reducing max timestep prior to age target 301 3.9678865706768036D+08 (age_target - star_age)/age_sigma 302 59.8619166570 reducing max timestep prior to age target 302 3.8910245827040482D+08 (age_target - star_age)/age_sigma 303 58.7030743768 reducing max timestep prior to age target 303 3.8156998344907475D+08 (age_target - star_age)/age_sigma 304 57.5674089422 reducing max timestep prior to age target 304 3.7418815812417173D+08 (age_target - star_age)/age_sigma 305 56.4544568163 reducing max timestep prior to age target 305 3.6695396930576658D+08 (age_target - star_age)/age_sigma 306 55.3637637329 reducing max timestep prior to age target 306 3.5986446426372957D+08 (age_target - star_age)/age_sigma 307 54.2948845112 reducing max timestep prior to age target 307 3.5291674932253361D+08 (age_target - star_age)/age_sigma 308 53.2473828739 reducing max timestep prior to age target 308 3.4610798868016100D+08 (age_target - star_age)/age_sigma 309 52.2208312693 reducing max timestep prior to age target 309 3.3943540325063658D+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 1.7450042468808562D-13 log_rel_run_E_err -10.2651836046760021 (age_target - star_age)/age_sigma 310 51.2148106969 reducing max timestep prior to age target 310 3.3289626952970219D+08 (age_target - star_age)/age_sigma 311 50.2289105359 reducing max timestep prior to age target 311 3.2648791848318672D+08 (age_target - star_age)/age_sigma 312 49.2627283781 reducing max timestep prior to age target 312 3.2020773445760155D+08 (age_target - star_age)/age_sigma 314 47.3690113488 reducing max timestep prior to age target 314 3.0789857376745415D+08 (age_target - star_age)/age_sigma 315 46.4410900045 reducing max timestep prior to age target 315 3.0186708502928162D+08 (age_target - star_age)/age_sigma 316 45.5317270871 reducing max timestep prior to age target 316 2.9595622606587315D+08 (age_target - star_age)/age_sigma 317 44.6405514280 reducing max timestep prior to age target 317 2.9016358428173256D+08 (age_target - star_age)/age_sigma 318 43.7671992820 reducing max timestep prior to age target 318 2.8448679533327436D+08 (age_target - star_age)/age_sigma 319 42.9113141790 reducing max timestep prior to age target 319 2.7892354216378593D+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 1.8318196449477395D-13 log_rel_run_E_err -10.2511232338656431 (age_target - star_age)/age_sigma 320 42.0725467781 reducing max timestep prior to age target 320 2.7347155405768681D+08 (age_target - star_age)/age_sigma 321 41.2505547252 reducing max timestep prior to age target 321 2.6812860571370983D+08 (age_target - star_age)/age_sigma 322 40.4450025133 reducing max timestep prior to age target 322 2.6289251633661270D+08 (age_target - star_age)/age_sigma 323 39.6555613457 reducing max timestep prior to age target 323 2.5776114874705791D+08 (age_target - star_age)/age_sigma 324 38.8819090014 reducing max timestep prior to age target 324 2.5273240850929356D+08 (age_target - star_age)/age_sigma 325 38.1237297040 reducing max timestep prior to age target 325 2.4780424307628441D+08 (age_target - star_age)/age_sigma 326 37.3807139926 reducing max timestep prior to age target 326 2.4297464095193577D+08 (age_target - star_age)/age_sigma 327 36.6525585954 reducing max timestep prior to age target 327 2.3824163087007427D+08 (age_target - star_age)/age_sigma 328 35.9389663061 reducing max timestep prior to age target 328 2.3360328098985004D+08 (age_target - star_age)/age_sigma 329 35.2396458627 reducing max timestep prior to age target 329 2.2905769810722923D+08 330 7.189177 5712.501 -0.014901 -0.014901 1.000000 1.000000 0.371674 0.005203 0.243475 -1.531529 510 0 6.6488E+00 7.189177 0.001578 -42.937728 -1.638577 -99.000000 0.000000 0.608544 0.008619 0.017088 0.116282 5 4.3449E+09 2.159966 -0.014846 -15.954590 -99.000000 -6.912310 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.7738815172674759D-13 log_rel_run_E_err -10.2378350022704137 (age_target - star_age)/age_sigma 330 34.5543118280 reducing max timestep prior to age target 330 2.2460302688226223D+08 (age_target - star_age)/age_sigma 331 33.8826844741 reducing max timestep prior to age target 331 2.2023744908179283D+08 (age_target - star_age)/age_sigma 332 33.2244896673 reducing max timestep prior to age target 332 2.1595918283733368D+08 (age_target - star_age)/age_sigma 333 32.5794587566 reducing max timestep prior to age target 333 2.1176648191776466D+08 (age_target - star_age)/age_sigma 334 31.9473284641 reducing max timestep prior to age target 334 2.0765763501658630D+08 (age_target - star_age)/age_sigma 335 31.3278407775 reducing max timestep prior to age target 335 2.0363096505343151D+08 (age_target - star_age)/age_sigma 336 30.7207428445 reducing max timestep prior to age target 336 1.9968482848954010D+08 (age_target - star_age)/age_sigma 337 30.1257868703 reducing max timestep prior to age target 337 1.9581761465692616D+08 (age_target - star_age)/age_sigma 338 29.5427300155 reducing max timestep prior to age target 338 1.9202774510096455D+08 (age_target - star_age)/age_sigma 339 28.9713342979 reducing max timestep prior to age target 339 1.8831367293612194D+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 1.7820501747271818D-13 log_rel_run_E_err -10.2246129894180520 (age_target - star_age)/age_sigma 340 28.4113664946 reducing max timestep prior to age target 340 1.8467388221457672D+08 (age_target - star_age)/age_sigma 341 27.8625980473 reducing max timestep prior to age target 341 1.8110688730746174D+08 (age_target - star_age)/age_sigma 342 27.3248049690 reducing max timestep prior to age target 342 1.7761123229848957D+08 (age_target - star_age)/age_sigma 343 26.7977677523 reducing max timestep prior to age target 343 1.7418549038969612D+08 (age_target - star_age)/age_sigma 344 26.2812712799 reducing max timestep prior to age target 344 1.7082826331907940D+08 (age_target - star_age)/age_sigma 345 25.7751047369 reducing max timestep prior to age target 345 1.6753818078987503D+08 (age_target - star_age)/age_sigma 346 25.2790615248 reducing max timestep prior to age target 346 1.6431389991125488D+08 (age_target - star_age)/age_sigma 348 24.3068168291 reducing max timestep prior to age target 348 1.5799430938915825D+08 (age_target - star_age)/age_sigma 349 23.8304169282 reducing max timestep prior to age target 349 1.5489771003333092D+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 -15.954590 -99.000000 -6.914182 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.9073614550089993D-13 log_rel_run_E_err -10.2119953430080308 (age_target - star_age)/age_sigma 350 23.3635450253 reducing max timestep prior to age target 350 1.5186304266462135D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9060105605 reducing max timestep prior to age target 351 1.4888906864328480D+08 (age_target - star_age)/age_sigma 352 22.4576267850 reducing max timestep prior to age target 352 1.4597457410237503D+08 (age_target - star_age)/age_sigma 353 22.0182106850 reducing max timestep prior to age target 353 1.4311836945228291D+08 (age_target - star_age)/age_sigma 354 21.5875829070 reducing max timestep prior to age target 354 1.4031928889519310D+08 (age_target - star_age)/age_sigma 355 21.1655676845 reducing max timestep prior to age target 355 1.3757618994924545D+08 (age_target - star_age)/age_sigma 356 20.7519927665 reducing max timestep prior to age target 356 1.3488795298221684D+08 (age_target - star_age)/age_sigma 357 20.3466893469 reducing max timestep prior to age target 357 1.3225348075452805D+08 (age_target - star_age)/age_sigma 358 19.9494919956 reducing max timestep prior to age target 358 1.2967169797139359D+08 (age_target - star_age)/age_sigma 359 19.5602385914 reducing max timestep prior to age target 359 1.2714155084392166D+08 360 7.191014 5714.329 -0.011383 -0.011383 1.000000 1.000000 0.363065 0.005236 0.242855 -1.526925 510 0 6.3944E+00 7.191014 0.003058 -42.819834 -1.632656 -99.000000 0.000000 0.617147 0.008590 0.017050 0.117416 5 4.4448E+09 2.167303 -0.011329 -99.000000 -99.000000 -6.914883 0.000000 0.000020 0.002011 0.019788 0.000E+00 max_dt rel_E_err 1.7091622133802241D-13 log_rel_run_E_err -10.1998456841028098 (age_target - star_age)/age_sigma 360 19.1787702552 reducing max timestep prior to age target 360 1.2466200665899944D+08 (age_target - star_age)/age_sigma 361 18.8049312858 reducing max timestep prior to age target 361 1.2223205335777569D+08 (age_target - star_age)/age_sigma 362 18.4385690958 reducing max timestep prior to age target 362 1.1985069912257576D+08 (age_target - star_age)/age_sigma 363 18.0795341496 reducing max timestep prior to age target 363 1.1751697197208023D+08 (age_target - star_age)/age_sigma 364 17.7276799022 reducing max timestep prior to age target 364 1.1522991936459446D+08 (age_target - star_age)/age_sigma 365 17.3828627399 reducing max timestep prior to age target 365 1.1298860780925846D+08 (age_target - star_age)/age_sigma 366 17.0449419208 reducing max timestep prior to age target 366 1.1079212248502922D+08 (age_target - star_age)/age_sigma 367 16.7137795180 reducing max timestep prior to age target 367 1.0863956686728477D+08 (age_target - star_age)/age_sigma 368 16.3892403634 reducing max timestep prior to age target 368 1.0653006236189556D+08 (age_target - star_age)/age_sigma 369 16.0711919918 reducing max timestep prior to age target 369 1.0446274794661331D+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 1.8153911949009670D-13 log_rel_run_E_err -10.1879905605934518 (age_target - star_age)/age_sigma 370 15.7595045876 reducing max timestep prior to age target 370 1.0243677981963730D+08 (age_target - star_age)/age_sigma 371 15.4540509316 reducing max timestep prior to age target 371 1.0045133105520058D+08 (age_target - star_age)/age_sigma 372 15.1547063486 reducing max timestep prior to age target 372 9.8505591266052246D+07 (age_target - star_age)/age_sigma 373 14.8613486573 reducing max timestep prior to age target 373 9.6598766272686958D+07 (age_target - star_age)/age_sigma 374 14.5738581199 reducing max timestep prior to age target 374 9.4730077779189110D+07 (age_target - star_age)/age_sigma 375 14.2921173932 reducing max timestep prior to age target 375 9.2898763055562019D+07 (age_target - star_age)/age_sigma 376 14.0160114810 reducing max timestep prior to age target 376 9.1104074626406670D+07 (age_target - star_age)/age_sigma 377 13.7454276871 reducing max timestep prior to age target 377 8.9345279965834618D+07 (age_target - star_age)/age_sigma 378 13.4802555690 reducing max timestep prior to age target 378 8.7621661198473930D+07 (age_target - star_age)/age_sigma 379 13.2203868933 reducing max timestep prior to age target 379 8.5932514806460381D+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 -99.000000 -99.000000 -6.915925 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.7833120524692736D-13 log_rel_run_E_err -10.1760850434701222 (age_target - star_age)/age_sigma 380 12.9657155911 reducing max timestep prior to age target 380 8.4277151342287064D+07 (age_target - star_age)/age_sigma 381 12.7161377150 reducing max timestep prior to age target 381 8.2654895147397041D+07 (age_target - star_age)/age_sigma 382 12.4715513964 reducing max timestep prior to age target 382 8.1065084076405525D+07 (age_target - star_age)/age_sigma 384 11.9921622119 reducing max timestep prior to age target 384 7.7949054377260208D+07 (age_target - star_age)/age_sigma 385 11.7572615115 reducing max timestep prior to age target 385 7.6422199824679375D+07 (age_target - star_age)/age_sigma 386 11.5270588251 reducing max timestep prior to age target 386 7.4925882363150597D+07 (age_target - star_age)/age_sigma 387 11.3014601924 reducing max timestep prior to age target 387 7.3459491250851631D+07 (age_target - star_age)/age_sigma 388 11.0803735324 reducing max timestep prior to age target 388 7.2022427960799217D+07 (age_target - star_age)/age_sigma 389 10.8637086056 reducing max timestep prior to age target 389 7.0614105936548233D+07 390 7.192045 5715.324 -0.009423 -0.009423 1.000000 1.000000 0.358270 0.005255 0.242514 -1.524344 510 0 6.1399E+00 7.192045 0.003887 -42.753946 -1.629320 -99.000000 0.000000 0.621938 0.008572 0.017029 0.118059 5 4.5003E+09 2.171414 -0.009370 -15.653560 -99.000000 -6.916314 0.000000 0.000020 0.002012 0.019792 0.000E+00 max_dt rel_E_err 1.8917068223230372D-13 log_rel_run_E_err -10.1643414578895577 (age_target - star_age)/age_sigma 390 10.6513769774 reducing max timestep prior to age target 390 6.9233950352781296D+07 (age_target - star_age)/age_sigma 391 10.4432919816 reducing max timestep prior to age target 391 6.7881397880690575D+07 (age_target - star_age)/age_sigma 392 10.2393686859 reducing max timestep prior to age target 392 6.6555896458041191D+07 (age_target - star_age)/age_sigma 393 10.0395238560 reducing max timestep prior to age target 393 6.5256905063845634D+07 (age_target - star_age)/age_sigma 394 9.8436759227 reducing max timestep prior to age target 394 6.3983893497532845D+07 (age_target - star_age)/age_sigma 395 9.6517449481 reducing max timestep prior to age target 395 6.2736342162547112D+07 (age_target - star_age)/age_sigma 396 9.4636525930 reducing max timestep prior to age target 396 6.1513741854260445D+07 (age_target - star_age)/age_sigma 397 9.2793220849 reducing max timestep prior to age target 397 6.0315593552139282D+07 (age_target - star_age)/age_sigma 398 9.0986781871 reducing max timestep prior to age target 398 5.9141408216060638D+07 (age_target - star_age)/age_sigma 399 8.9216471672 reducing max timestep prior to age target 399 5.7990706586704254D+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 -99.000000 -99.000000 -6.916633 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7639284849271983D-13 log_rel_run_E_err -10.1535224405019555 (age_target - star_age)/age_sigma 400 8.7481567677 reducing max timestep prior to age target 400 5.6863018989934921D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.5781361762 reducing max timestep prior to age target 401 5.5757885145100594D+07 (age_target - star_age)/age_sigma 402 8.4115159965 reducing max timestep prior to age target 402 5.4674853977162361D+07 (age_target - star_age)/age_sigma 403 8.2482282204 reducing max timestep prior to age target 403 5.3613483432583809D+07 (age_target - star_age)/age_sigma 404 8.0882061998 reducing max timestep prior to age target 404 5.2573340298896790D+07 (age_target - star_age)/age_sigma 405 7.9313846197 reducing max timestep prior to age target 405 5.1554000027883530D+07 (age_target - star_age)/age_sigma 406 7.7776994711 reducing max timestep prior to age target 406 5.0555046562290192D+07 (age_target - star_age)/age_sigma 407 7.6270880255 reducing max timestep prior to age target 407 4.9576072166008949D+07 (age_target - star_age)/age_sigma 408 7.4794888089 reducing max timestep prior to age target 408 4.8616677257653236D+07 (age_target - star_age)/age_sigma 409 7.3348415765 reducing max timestep prior to age target 409 4.7676470247465134D+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 1.6872473108257359D-13 log_rel_run_E_err -10.1426753180116602 (age_target - star_age)/age_sigma 410 7.1930872888 reducing max timestep prior to age target 410 4.6755067377480507D+07 (age_target - star_age)/age_sigma 411 7.0541680869 reducing max timestep prior to age target 411 4.5852092564895630D+07 (age_target - star_age)/age_sigma 412 6.9180272690 reducing max timestep prior to age target 412 4.4967177248562813D+07 (age_target - star_age)/age_sigma 413 6.7846092675 reducing max timestep prior to age target 413 4.4099960238555908D+07 (age_target - star_age)/age_sigma 414 6.6538596260 reducing max timestep prior to age target 414 4.3250087568749428D+07 (age_target - star_age)/age_sigma 415 6.5257249773 reducing max timestep prior to age target 415 4.2417212352338791D+07 (age_target - star_age)/age_sigma 416 6.4001530216 reducing max timestep prior to age target 416 4.1600994640256882D+07 (age_target - star_age)/age_sigma 418 6.1540319884 reducing max timestep prior to age target 418 4.0001207924574852D+07 (age_target - star_age)/age_sigma 419 6.0334326821 reducing max timestep prior to age target 419 3.9217312433891296D+07 420 7.192621 5715.870 -0.008332 -0.008332 1.000000 1.000000 0.355601 0.005266 0.242327 -1.522902 510 0 5.8855E+00 7.192621 0.004349 -42.717193 -1.627452 -99.000000 0.000000 0.624605 0.008561 0.017017 0.118421 3 4.5311E+09 2.173710 -0.008279 -99.000000 -99.000000 -6.917109 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.7595189146172182D-13 log_rel_run_E_err -10.1321561622739740 (age_target - star_age)/age_sigma 420 5.9152453620 reducing max timestep prior to age target 420 3.8449094853021622D+07 (age_target - star_age)/age_sigma 421 5.7994217883 reducing max timestep prior to age target 421 3.7696241623768806D+07 (age_target - star_age)/age_sigma 422 5.6859146860 reducing max timestep prior to age target 422 3.6958445459100723D+07 (age_target - star_age)/age_sigma 423 5.5746777258 reducing max timestep prior to age target 423 3.6235405217726707D+07 (age_target - star_age)/age_sigma 424 5.4656655048 reducing max timestep prior to age target 424 3.5526825781179428D+07 (age_target - star_age)/age_sigma 425 5.3588335282 reducing max timestep prior to age target 425 3.4832417933363914D+07 (age_target - star_age)/age_sigma 426 5.2541381912 reducing max timestep prior to age target 426 3.4151898242504120D+07 (age_target - star_age)/age_sigma 427 5.1515367608 reducing max timestep prior to age target 427 3.3484988945461273D+07 (age_target - star_age)/age_sigma 428 5.0509873591 reducing max timestep prior to age target 428 3.2831417834360123D+07 (age_target - star_age)/age_sigma 429 4.9519483913 remaining steps and years until age target 429 50 3.2187664543490410D+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 1.8509448057306890D-13 log_rel_run_E_err -10.1219020187086866 (age_target - star_age)/age_sigma 430 4.8529094235 remaining steps and years until age target 430 49 3.1543911252620697D+07 (age_target - star_age)/age_sigma 431 4.7538704557 remaining steps and years until age target 431 48 3.0900157961750984D+07 (age_target - star_age)/age_sigma 432 4.6548314878 remaining steps and years until age target 432 47 3.0256404670881271D+07 (age_target - star_age)/age_sigma 433 4.5557925200 remaining steps and years until age target 433 46 2.9612651380011559D+07 (age_target - star_age)/age_sigma 434 4.4567535522 remaining steps and years until age target 434 45 2.8968898089141846D+07 (age_target - star_age)/age_sigma 435 4.3577145843 reducing max timestep prior to age target 435 2.8325144798271179D+07 (age_target - star_age)/age_sigma 436 4.2586756165 remaining steps and years until age target 436 43 2.7681391507401466D+07 (age_target - star_age)/age_sigma 437 4.1596366487 remaining steps and years until age target 437 42 2.7037638216531754D+07 (age_target - star_age)/age_sigma 438 4.0605976809 remaining steps and years until age target 438 41 2.6393884925662041D+07 (age_target - star_age)/age_sigma 439 3.9615587130 remaining steps and years until age target 439 40 2.5750131634792328D+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 1.7742999154592897D-13 log_rel_run_E_err -10.1120024460549320 (age_target - star_age)/age_sigma 440 3.8625197452 remaining steps and years until age target 440 39 2.5106378343922615D+07 (age_target - star_age)/age_sigma 441 3.7634807774 remaining steps and years until age target 441 38 2.4462625053052902D+07 (age_target - star_age)/age_sigma 442 3.6644418096 remaining steps and years until age target 442 37 2.3818871762183189D+07 (age_target - star_age)/age_sigma 443 3.5654028417 remaining steps and years until age target 443 36 2.3175118471313477D+07 (age_target - star_age)/age_sigma 444 3.4663638739 remaining steps and years until age target 444 35 2.2531365180443764D+07 (age_target - star_age)/age_sigma 445 3.3673249061 remaining steps and years until age target 445 34 2.1887611889574051D+07 (age_target - star_age)/age_sigma 446 3.2682859383 remaining steps and years until age target 446 33 2.1243858598704338D+07 (age_target - star_age)/age_sigma 447 3.1692469704 remaining steps and years until age target 447 32 2.0600105307834625D+07 (age_target - star_age)/age_sigma 448 3.0702080026 remaining steps and years until age target 448 31 1.9956352016964912D+07 (age_target - star_age)/age_sigma 449 2.9711690348 remaining steps and years until age target 449 30 1.9312598726095200D+07 450 7.192992 5716.219 -0.007630 -0.007630 1.000000 1.000000 0.353884 0.005273 0.242206 -1.521971 510 0 5.8087E+00 7.192992 0.004647 -42.693519 -1.626245 -99.000000 0.000000 0.626321 0.008555 0.017010 0.118655 3 4.5508E+09 2.175190 -0.007577 -99.000000 -99.000000 -6.917620 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8189211812373916D-13 log_rel_run_E_err -10.1022667791130552 (age_target - star_age)/age_sigma 450 2.8721300670 reducing max timestep prior to age target 450 1.8668845435224533D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7730910991 remaining steps and years until age target 451 28 1.8025092144354820D+07 (age_target - star_age)/age_sigma 452 2.6740521313 remaining steps and years until age target 452 27 1.7381338853485107D+07 (age_target - star_age)/age_sigma 453 2.5750131635 remaining steps and years until age target 453 26 1.6737585562615395D+07 (age_target - star_age)/age_sigma 454 2.4759741957 remaining steps and years until age target 454 25 1.6093832271745682D+07 (age_target - star_age)/age_sigma 455 2.3769352278 remaining steps and years until age target 455 24 1.5450078980875969D+07 (age_target - star_age)/age_sigma 456 2.2778962600 remaining steps and years until age target 456 23 1.4806325690006256D+07 (age_target - star_age)/age_sigma 457 2.1788572922 remaining steps and years until age target 457 22 1.4162572399136543D+07 (age_target - star_age)/age_sigma 458 2.0798183243 remaining steps and years until age target 458 21 1.3518819108266830D+07 (age_target - star_age)/age_sigma 459 1.9807793565 remaining steps and years until age target 459 20 1.2875065817397118D+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 1.7401547565211106D-13 log_rel_run_E_err -10.0927451362118159 (age_target - star_age)/age_sigma 460 1.8817403887 remaining steps and years until age target 460 19 1.2231312526527405D+07 (age_target - star_age)/age_sigma 461 1.7827014209 remaining steps and years until age target 461 18 1.1587559235657692D+07 (age_target - star_age)/age_sigma 462 1.6836624530 remaining steps and years until age target 462 17 1.0943805944787979D+07 (age_target - star_age)/age_sigma 463 1.5846234852 remaining steps and years until age target 463 16 1.0300052653918266D+07 (age_target - star_age)/age_sigma 464 1.4855845174 remaining steps and years until age target 464 15 9.6562993630485535D+06 (age_target - star_age)/age_sigma 465 1.3865455496 remaining steps and years until age target 465 14 9.0125460721788406D+06 (age_target - star_age)/age_sigma 466 1.2875065817 reducing max timestep prior to age target 466 8.3687927813081741D+06 (age_target - star_age)/age_sigma 467 1.1884676139 remaining steps and years until age target 467 12 7.7250394904384613D+06 (age_target - star_age)/age_sigma 468 1.0894286461 remaining steps and years until age target 468 11 7.0812861995687485D+06 (age_target - star_age)/age_sigma 469 0.9903896783 remaining steps and years until age target 469 10 6.4375329086990356D+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 1.7635018637172277D-13 log_rel_run_E_err -10.0833354091438441 (age_target - star_age)/age_sigma 470 0.8913507104 remaining steps and years until age target 470 9 5.7937796178293228D+06 (age_target - star_age)/age_sigma 471 0.7923117426 remaining steps and years until age target 471 8 5.1500263269596100D+06 (age_target - star_age)/age_sigma 472 0.6932727748 remaining steps and years until age target 472 7 4.5062730360898972D+06 (age_target - star_age)/age_sigma 473 0.5942338070 remaining steps and years until age target 473 6 3.8625197452201843D+06 (age_target - star_age)/age_sigma 474 0.4951948391 reducing max timestep prior to age target 474 3.2187664543495178D+06 (age_target - star_age)/age_sigma 475 0.3961558713 remaining steps and years until age target 475 4 2.5750131634798050D+06 (age_target - star_age)/age_sigma 476 0.2971169035 remaining steps and years until age target 476 3 1.9312598726100922D+06 (age_target - star_age)/age_sigma 477 0.1980779357 reducing max timestep prior to age target 477 1.2875065817394257D+06 (age_target - star_age)/age_sigma 478 0.0990389678 remaining steps and years until age target 478 1 6.4375329087066650D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333376.79 0.00 333376.79 save outputs/best.mod 479 save outputs/best.profile for model 479 save LOGS/profile11.data for model 479 have reached age_target save LOGS/profile11.data for model 479 solver retries 4 varcontrol dt limit 162 max increase dt limit 2143 lgRho_cntr dt limit 73 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333376.79 0.00 333376.79 have reached age_target runtime (minutes), retries, steps 2.82 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 1.8315243692036601D-13 log_rel_run_E_err -10.0748746147930888 Teff 5716.5483620725 radius 1.0114129282 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 130.2549300993 M_H 0.0003508639 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 0.1231054481 log_R 0.0049285006 delta_nu 139.1365856807 nu_max 3023.4851123029 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 333376.7926785158 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 "9dea5ab" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251009" "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 3.3337679267851578E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620724863E+03 1.0114129282000397E+00 3.5086385976877904E-04 4.9285006214752139E-03 1.3913658568070426E+02 3.0234851123029280E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851578E+05 0 0 0 0 0 0 0 1 3.3351283960191562E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383755896E+03 1.0231407131232713E+00 -1.7395981987816708E-03 9.9353665865147631E-03 1.3680762272707830E+02 2.9640776267841038E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191562E+05 0 0 0 0 0 0 0 3 3.3365606602478313E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078364049E+03 1.0099970103005844E+00 2.9466215559506938E-02 4.3200882263252959E-03 1.3947582155337045E+02 3.0536692076816480E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602478313E+05 0 0 0 0 0 0 0 2 3.3468070564326667E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399265890E+03 1.0622782375811581E+00 -1.2788199778892683E-02 2.6238284372221875E-02 1.2938435093838254E+02 2.7294282123468802E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326667E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.6100000000000001D-01 -4.5000000000000001D-01 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562812810010300D-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 1.8246321914822070D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692963882808436D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.2004330292732877D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6100000000000001D-05 initial_he4 2.6097390000000004D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999647D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999495D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999304D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999084D+09 10 6.616017 4252.685 -4.940030 -4.940030 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023968 457 0 -4.3321E+00 6.616017 0.265362 -99.000000 -6.337779 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072072 10 2.3634E-04 0.147009 0.000072 -20.470040 -99.000000 -6.877439 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.5263385447932989D-13 log_rel_run_E_err -11.5765495109923631 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 2.6013597334102455D-13 log_rel_run_E_err -11.2719550022407411 30 6.616040 4304.822 -4.940026 -4.940026 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -2.7485E+00 6.616040 0.265547 -99.000000 -6.337776 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 1.0664E-02 0.147043 0.021609 -99.000000 -99.000000 -6.902152 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7270202216383991D-13 log_rel_run_E_err -11.0941657443181398 40 6.616046 4306.939 -4.940022 -4.940022 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0 -1.9567E+00 6.616046 0.265591 -99.000000 -6.337771 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 6.6254E-02 0.147053 0.022551 -99.000000 -99.000000 -6.903173 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7945392689436344D-13 log_rel_run_E_err -10.9667024541252633 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 2.6051106362774977D-13 log_rel_run_E_err -10.8708605191471079 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 -19.816827 -99.000000 -6.903236 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.8264222449113253D-13 log_rel_run_E_err -10.7921959989344387 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 2.5544655776895232D-13 log_rel_run_E_err -10.7277943822680815 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 -20.169010 -99.000000 -6.903226 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6557120326192584D-13 log_rel_run_E_err -10.6691971539114299 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 2.5579955636823748D-13 log_rel_run_E_err -10.6187048522868963 __________________________________________________________________________________________________________________________________________________ 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 2.8548641520962359D-13 log_rel_run_E_err -10.5735617713493930 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.617314 4305.593 -4.926359 -4.926359 1.000000 1.000000 0.720043 0.000958 0.261000 -4.018077 457 0 3.5860E+00 6.617314 0.264166 -99.000000 -6.324107 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072105 2 2.3130E+04 0.151498 0.019158 -99.000000 -99.000000 -6.900836 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7308977900879924D-13 log_rel_run_E_err -10.5328464028508844 120 6.623596 4298.114 -4.858219 -4.858219 1.000000 1.000000 0.720043 0.000958 0.261000 -3.988001 457 0 4.3778E+00 6.623596 0.257020 -99.000000 -6.255962 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072303 3 1.4322E+05 0.173902 0.001845 -99.000000 -99.000000 -6.888756 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.4093763630666921D-13 log_rel_run_E_err -10.4725237349141818 130 6.653979 4257.646 -4.515618 -4.515618 1.000000 1.000000 0.720043 0.000958 0.261000 -3.816564 457 0 5.1697E+00 6.653979 0.220632 -99.000000 -5.913330 -99.000000 0.000000 0.261000 0.008891 0.018957 0.073895 4 8.8676E+05 0.293429 -0.087364 -19.867980 -99.000000 -6.825305 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6688733646401607D-13 log_rel_run_E_err -10.4685985982233785 140 6.738006 4178.200 -3.535991 -3.535991 1.000000 1.000000 0.720041 0.000958 0.260999 -3.157813 466 0 5.8317E+00 6.738006 0.119164 -99.000000 -4.933525 -99.000000 0.000000 0.261003 0.008891 0.018957 0.083361 3 5.0210E+06 0.702558 -0.323021 -19.265920 -99.000000 -6.660089 0.000000 0.003267 0.001976 0.018957 0.000E+00 varcontrol rel_E_err 1.9377450709495536D-11 log_rel_run_E_err -10.3230414108873347 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 -17.760770 -99.000000 -6.687128 0.000000 0.003267 0.001976 0.018957 0.000E+00 lgRho_cntr rel_E_err 2.2591186477643667D-13 log_rel_run_E_err -10.4353673975267984 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 1.6388458128587106D-13 log_rel_run_E_err -10.5707579524154465 (age_target - star_age)/age_sigma 169 694.7990560978 reducing max timestep prior to age target 169 4.5161938646356697D+09 170 7.125461 5499.907 -0.187476 -0.187476 1.000000 1.000000 0.718254 0.002658 0.260792 -1.719774 509 0 6.8221E+00 7.125461 -0.052114 -47.558964 -1.779550 -99.000000 0.000000 0.262541 0.008893 0.018944 0.085141 5 5.9945E+07 1.890365 -0.188112 -15.352530 -99.000000 -6.795056 0.000000 0.001811 0.001977 0.019204 0.000E+00 max increase rel_E_err 1.8864871708611403D-13 log_rel_run_E_err -10.6109901519525103 (age_target - star_age)/age_sigma 177 677.9484205896 reducing max timestep prior to age target 177 4.4066647338321419D+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 -15.954590 -99.000000 -6.804009 0.000000 0.000017 0.001979 0.019531 0.000E+00 max increase rel_E_err 1.8244874411956387D-13 log_rel_run_E_err -10.5814137960964985 (age_target - star_age)/age_sigma 180 661.9635994208 reducing max timestep prior to age target 180 4.3027633962352362D+09 (age_target - star_age)/age_sigma 182 645.2691224551 reducing max timestep prior to age target 182 4.1942492959582038D+09 (age_target - star_age)/age_sigma 183 634.3418284412 reducing max timestep prior to age target 183 4.1232218848677831D+09 (age_target - star_age)/age_sigma 184 622.0228845835 reducing max timestep prior to age target 184 4.0431487497928033D+09 (age_target - star_age)/age_sigma 185 609.9503196030 reducing max timestep prior to age target 185 3.9646770774193234D+09 (age_target - star_age)/age_sigma 186 598.1192059220 reducing max timestep prior to age target 186 3.8877748384933128D+09 (age_target - star_age)/age_sigma 187 586.5247145147 reducing max timestep prior to age target 187 3.8124106443458228D+09 (age_target - star_age)/age_sigma 188 575.1621129356 reducing max timestep prior to age target 188 3.7385537340812826D+09 (age_target - star_age)/age_sigma 189 564.0267633880 reducing max timestep prior to age target 189 3.6661739620220327D+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 -15.653560 -99.000000 -6.816016 0.000000 0.000014 0.001989 0.019631 0.000E+00 max_dt rel_E_err 1.8259218694030337D-13 log_rel_run_E_err -10.5537201596338797 (age_target - star_age)/age_sigma 190 553.1141208314 reducing max timestep prior to age target 190 3.5952417854039683D+09 (age_target - star_age)/age_sigma 191 542.4197311259 reducing max timestep prior to age target 191 3.5257282523182650D+09 (age_target - star_age)/age_sigma 192 531.9392292145 reducing max timestep prior to age target 192 3.4576049898942757D+09 (age_target - star_age)/age_sigma 193 521.6683373413 reducing max timestep prior to age target 193 3.3908441927187662D+09 (age_target - star_age)/age_sigma 194 511.6028633057 reducing max timestep prior to age target 194 3.3254186114867673D+09 (age_target - star_age)/age_sigma 195 501.7386987507 reducing max timestep prior to age target 195 3.2613015418794079D+09 (age_target - star_age)/age_sigma 196 492.0718174868 reducing max timestep prior to age target 196 3.1984668136641960D+09 (age_target - star_age)/age_sigma 197 482.5982738482 reducing max timestep prior to age target 197 3.1368887800132885D+09 (age_target - star_age)/age_sigma 198 473.3142010824 reducing max timestep prior to age target 198 3.0765423070353985D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.138991 5551.935 -0.134989 -0.134989 1.000000 1.000000 0.609947 0.004833 0.251858 -1.630397 505 0 7.7719E+00 7.138991 -0.033694 -46.319756 -1.799121 -99.000000 0.000000 0.370335 0.008965 0.018366 0.094031 10 1.6112E+09 1.975315 -0.134917 -15.653560 -99.000000 -6.827056 0.000000 0.000015 0.001998 0.019717 0.000E+00 max_dt rel_E_err 1.7570963198988805D-13 log_rel_run_E_err -10.5281594621005716 (age_target - star_age)/age_sigma 200 455.1174184613 reducing max timestep prior to age target 200 2.9582632199987345D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 446.2009949770 reducing max timestep prior to age target 201 2.9003064673507700D+09 (age_target - star_age)/age_sigma 202 437.4628999624 reducing max timestep prior to age target 202 2.8435088497557640D+09 (age_target - star_age)/age_sigma 203 428.8995668481 reducing max timestep prior to age target 203 2.7878471845126581D+09 (age_target - star_age)/age_sigma 204 420.5075003961 reducing max timestep prior to age target 204 2.7332987525744143D+09 (age_target - star_age)/age_sigma 205 412.2832752731 reducing max timestep prior to age target 205 2.6798412892749357D+09 (age_target - star_age)/age_sigma 206 404.2235346525 reducing max timestep prior to age target 206 2.6274529752414465D+09 (age_target - star_age)/age_sigma 207 396.3249888444 reducing max timestep prior to age target 207 2.5761124274886265D+09 (age_target - star_age)/age_sigma 208 388.5844139524 reducing max timestep prior to age target 208 2.5257986906908636D+09 (age_target - star_age)/age_sigma 209 380.9986505583 reducing max timestep prior to age target 209 2.4764912286290560D+09 210 7.145460 5564.879 -0.120120 -0.120120 1.000000 1.000000 0.571432 0.004867 0.248794 -1.614610 509 0 7.6841E+00 7.145460 -0.028282 -45.832864 -1.781612 -99.000000 0.000000 0.408780 0.008979 0.018169 0.096995 10 2.1413E+09 2.001915 -0.120047 -15.653560 -99.000000 -6.836677 0.000000 0.000015 0.002005 0.019788 0.000E+00 max_dt rel_E_err 1.8110611004332106D-13 log_rel_run_E_err -10.5030086340055160 (age_target - star_age)/age_sigma 210 373.5646024321 reducing max timestep prior to age target 210 2.4281699158084841D+09 (age_target - star_age)/age_sigma 211 366.2792352684 reducing max timestep prior to age target 211 2.3808150292443242D+09 (age_target - star_age)/age_sigma 212 359.1395754479 reducing max timestep prior to age target 212 2.3344072404114470D+09 (age_target - star_age)/age_sigma 213 352.1427088239 reducing max timestep prior to age target 213 2.2889276073552275D+09 (age_target - star_age)/age_sigma 214 345.2857795323 reducing max timestep prior to age target 214 2.2443575669601321D+09 (age_target - star_age)/age_sigma 215 338.5659888266 reducing max timestep prior to age target 215 2.2006789273729396D+09 (age_target - star_age)/age_sigma 216 331.9805939350 reducing max timestep prior to age target 216 2.1578738605774903D+09 (age_target - star_age)/age_sigma 217 325.5269069412 reducing max timestep prior to age target 217 2.1159248951179500D+09 (age_target - star_age)/age_sigma 218 319.2022936873 reducing max timestep prior to age target 218 2.0748149089676003D+09 (age_target - star_age)/age_sigma 219 313.0041726985 reducing max timestep prior to age target 219 2.0345271225402579D+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 -15.653560 -99.000000 -6.844838 0.000000 0.000016 0.002011 0.019843 0.000E+00 max_dt rel_E_err 1.7787991100884309D-13 log_rel_run_E_err -10.4789181751145826 (age_target - star_age)/age_sigma 220 306.9300141295 reducing max timestep prior to age target 220 1.9950450918414621D+09 (age_target - star_age)/age_sigma 221 300.9773387318 reducing max timestep prior to age target 221 1.9563527017566428D+09 (age_target - star_age)/age_sigma 222 295.1437168421 reducing max timestep prior to age target 222 1.9184341594735193D+09 (age_target - star_age)/age_sigma 223 289.4267673902 reducing max timestep prior to age target 223 1.8812739880360584D+09 (age_target - star_age)/age_sigma 224 283.8241569273 reducing max timestep prior to age target 224 1.8448570200273471D+09 (age_target - star_age)/age_sigma 225 278.3335986737 reducing max timestep prior to age target 225 1.8091683913788095D+09 (age_target - star_age)/age_sigma 226 272.9528515851 reducing max timestep prior to age target 226 1.7741935353032427D+09 (age_target - star_age)/age_sigma 227 267.6797194383 reducing max timestep prior to age target 227 1.7399181763491874D+09 (age_target - star_age)/age_sigma 228 262.5120499345 reducing max timestep prior to age target 228 1.7063283245742135D+09 (age_target - star_age)/age_sigma 229 257.4477338207 reducing max timestep prior to age target 229 1.6734102698347387D+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 1.7971441847122933D-13 log_rel_run_E_err -10.4565855858280727 (age_target - star_age)/age_sigma 230 252.4847040292 reducing max timestep prior to age target 230 1.6411505761900535D+09 (age_target - star_age)/age_sigma 231 247.6209348336 reducing max timestep prior to age target 231 1.6095360764182620D+09 (age_target - star_age)/age_sigma 232 242.8544410218 reducing max timestep prior to age target 232 1.5785538666419063D+09 (age_target - star_age)/age_sigma 233 238.1832770863 reducing max timestep prior to age target 233 1.5481913010610781D+09 (age_target - star_age)/age_sigma 235 229.0277957727 reducing max timestep prior to age target 235 1.4886806725226541D+09 (age_target - star_age)/age_sigma 236 224.5416099291 reducing max timestep prior to age target 236 1.4595204645388265D+09 (age_target - star_age)/age_sigma 237 220.1451478023 reducing max timestep prior to age target 237 1.4309434607146749D+09 (age_target - star_age)/age_sigma 238 215.8366149180 reducing max timestep prior to age target 238 1.4029379969670067D+09 (age_target - star_age)/age_sigma 239 211.6142526914 reducing max timestep prior to age target 239 1.3754926424942923D+09 240 7.159838 5590.101 -0.088491 -0.088491 1.000000 1.000000 0.491421 0.004958 0.242722 -1.578677 507 0 7.4297E+00 7.159838 -0.016397 -44.802632 -1.740828 -99.000000 0.000000 0.488657 0.008979 0.017778 0.104045 10 3.2209E+09 2.060669 -0.088421 -15.954590 -99.000000 -6.857604 0.000000 0.000017 0.002019 0.019922 0.000E+00 max_dt rel_E_err 1.8570669458559356D-13 log_rel_run_E_err -10.4350559478213825 (age_target - star_age)/age_sigma 240 207.4763377094 reducing max timestep prior to age target 240 1.3485961951110315D+09 (age_target - star_age)/age_sigma 241 203.4211810270 reducing max timestep prior to age target 241 1.3222376766754365D+09 (age_target - star_age)/age_sigma 242 199.4471274782 reducing max timestep prior to age target 242 1.2964063286085529D+09 (age_target - star_age)/age_sigma 243 195.5525550005 reducing max timestep prior to age target 243 1.2710916075030069D+09 (age_target - star_age)/age_sigma 244 191.7358739722 reducing max timestep prior to age target 244 1.2462831808195720D+09 (age_target - star_age)/age_sigma 245 187.9955265646 reducing max timestep prior to age target 245 1.2219709226698060D+09 (age_target - star_age)/age_sigma 246 184.3299861051 reducing max timestep prior to age target 246 1.1981449096830354D+09 (age_target - star_age)/age_sigma 247 180.7377564548 reducing max timestep prior to age target 247 1.1747954169560003D+09 (age_target - star_age)/age_sigma 248 177.2173713975 reducing max timestep prior to age target 248 1.1519129140835056D+09 (age_target - star_age)/age_sigma 249 173.7673940413 reducing max timestep prior to age target 249 1.1294880612684603D+09 250 7.163296 5595.512 -0.081145 -0.081145 1.000000 1.000000 0.473225 0.004985 0.241392 -1.569886 507 0 7.3420E+00 7.163296 -0.013565 -44.563438 -1.730702 -99.000000 0.000000 0.506825 0.008971 0.017692 0.105845 10 3.4620E+09 2.074729 -0.081077 -99.000000 -99.000000 -6.862532 0.000000 0.000017 0.002023 0.019950 0.000E+00 max_dt rel_E_err 1.7985759727252708D-13 log_rel_run_E_err -10.4150492464933890 (age_target - star_age)/age_sigma 250 170.3864162323 reducing max timestep prior to age target 250 1.1075117055097165D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 167.0730579794 reducing max timestep prior to age target 251 1.0859748768661475D+09 (age_target - star_age)/age_sigma 252 163.8259668916 reducing max timestep prior to age target 252 1.0648687847954502D+09 (age_target - star_age)/age_sigma 253 160.6438176256 reducing max timestep prior to age target 253 1.0441848145661664D+09 (age_target - star_age)/age_sigma 254 157.5253113448 reducing max timestep prior to age target 254 1.0239145237414684D+09 (age_target - star_age)/age_sigma 255 154.4691751897 reducing max timestep prior to age target 255 1.0040496387332644D+09 (age_target - star_age)/age_sigma 256 151.4741617577 reducing max timestep prior to age target 256 9.8458205142522430D+08 (age_target - star_age)/age_sigma 257 148.5390485944 reducing max timestep prior to age target 257 9.6550381586334515D+08 (age_target - star_age)/age_sigma 258 145.6626376943 reducing max timestep prior to age target 258 9.4680714501270342D+08 (age_target - star_age)/age_sigma 259 142.8437550122 reducing max timestep prior to age target 259 9.2848440757907486D+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 1.8959430870982750D-13 log_rel_run_E_err -10.3955214203859487 (age_target - star_age)/age_sigma 260 140.0812499837 reducing max timestep prior to age target 260 9.1052812489411879D+08 (age_target - star_age)/age_sigma 261 137.3739950558 reducing max timestep prior to age target 261 8.9293096786286163D+08 (age_target - star_age)/age_sigma 262 134.7208852265 reducing max timestep prior to age target 262 8.7568575397222948D+08 (age_target - star_age)/age_sigma 263 132.1208375938 reducing max timestep prior to age target 263 8.5878544435941029D+08 (age_target - star_age)/age_sigma 264 129.5727909137 reducing max timestep prior to age target 264 8.4222314093884754D+08 (age_target - star_age)/age_sigma 265 127.0757051672 reducing max timestep prior to age target 265 8.2599208358669615D+08 (age_target - star_age)/age_sigma 266 124.6285611356 reducing max timestep prior to age target 266 8.1008564738158751D+08 (age_target - star_age)/age_sigma 267 122.2303599847 reducing max timestep prior to age target 267 7.9449733990058088D+08 (age_target - star_age)/age_sigma 269 117.5298857289 reducing max timestep prior to age target 269 7.6394425723780823D+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 1.8771093296864559D-13 log_rel_run_E_err -10.3764199289299075 (age_target - star_age)/age_sigma 270 115.2266533435 reducing max timestep prior to age target 270 7.4897324673304939D+08 (age_target - star_age)/age_sigma 271 112.9694856059 reducing max timestep prior to age target 271 7.3430165643838596D+08 (age_target - star_age)/age_sigma 272 110.7574612230 reducing max timestep prior to age target 272 7.1992349794961596D+08 (age_target - star_age)/age_sigma 273 108.5896773278 reducing max timestep prior to age target 273 7.0583290263062143D+08 (age_target - star_age)/age_sigma 274 106.4652491105 reducing max timestep prior to age target 274 6.9202411921800661D+08 (age_target - star_age)/age_sigma 275 104.3833094575 reducing max timestep prior to age target 275 6.7849151147364426D+08 (age_target - star_age)/age_sigma 276 102.3430085976 reducing max timestep prior to age target 276 6.6522955588416862D+08 (age_target - star_age)/age_sigma 277 100.3435137548 reducing max timestep prior to age target 277 6.5223283940648270D+08 (age_target - star_age)/age_sigma 278 98.3840088090 reducing max timestep prior to age target 278 6.3949605725835085D+08 (age_target - star_age)/age_sigma 279 96.4636939620 reducing max timestep prior to age target 279 6.2701401075318146D+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 8 3.9547E+09 2.104673 -0.065724 -15.653560 -99.000000 -6.872889 0.000000 0.000018 0.002029 0.020004 0.000E+00 max_dt rel_E_err 1.8025781182251124D-13 log_rel_run_E_err -10.3585930596713407 (age_target - star_age)/age_sigma 280 94.5817854120 reducing max timestep prior to age target 280 6.1478160517811537D+08 (age_target - star_age)/age_sigma 281 92.7375150330 reducing max timestep prior to age target 281 6.0279384771455050D+08 (age_target - star_age)/age_sigma 282 90.9301300616 reducing max timestep prior to age target 282 5.9104584540025711D+08 (age_target - star_age)/age_sigma 283 89.1588927896 reducing max timestep prior to age target 283 5.7953280313224936D+08 (age_target - star_age)/age_sigma 284 87.4230802630 reducing max timestep prior to age target 284 5.6825002170960188D+08 (age_target - star_age)/age_sigma 285 85.7219839870 reducing max timestep prior to age target 285 5.5719289591540766D+08 (age_target - star_age)/age_sigma 286 84.0549096365 reducing max timestep prior to age target 286 5.4635691263709688D+08 (age_target - star_age)/age_sigma 287 82.4211767730 reducing max timestep prior to age target 287 5.3573764902435255D+08 (age_target - star_age)/age_sigma 288 80.8201185667 reducing max timestep prior to age target 288 5.2533077068386364D+08 (age_target - star_age)/age_sigma 289 79.2510815246 reducing max timestep prior to age target 289 5.1513202991018391D+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 1.8381289162857305D-13 log_rel_run_E_err -10.3411144272605036 (age_target - star_age)/age_sigma 290 77.7134252234 reducing max timestep prior to age target 290 5.0513726395197773D+08 (age_target - star_age)/age_sigma 291 76.2065220481 reducing max timestep prior to age target 291 4.9534239331293583D+08 (age_target - star_age)/age_sigma 292 74.7297569364 reducing max timestep prior to age target 292 4.8574342008667469D+08 (age_target - star_age)/age_sigma 293 73.2825271269 reducing max timestep prior to age target 293 4.7633642632493877D+08 (age_target - star_age)/age_sigma 294 71.8642419136 reducing max timestep prior to age target 294 4.6711757243843746D+08 (age_target - star_age)/age_sigma 295 70.4743224046 reducing max timestep prior to age target 295 4.5808309562966633D+08 (age_target - star_age)/age_sigma 296 69.1122012857 reducing max timestep prior to age target 296 4.4922930835707045D+08 (age_target - star_age)/age_sigma 297 67.7773225892 reducing max timestep prior to age target 297 4.4055259682992697D+08 (age_target - star_age)/age_sigma 298 66.4691414667 reducing max timestep prior to age target 298 4.3204941953332567D+08 (age_target - star_age)/age_sigma 299 65.1871239666 reducing max timestep prior to age target 299 4.2371630578265667D+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 -15.352530 -99.000000 -6.877201 0.000000 0.000018 0.002031 0.020024 0.000E+00 max_dt rel_E_err 1.8028640742052640D-13 log_rel_run_E_err -10.3247354849932496 (age_target - star_age)/age_sigma 300 63.9307468165 reducing max timestep prior to age target 300 4.1554985430700111D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.6994972094 reducing max timestep prior to age target 301 4.0754673186085892D+08 (age_target - star_age)/age_sigma 302 61.4928725944 reducing max timestep prior to age target 302 3.9970367186363935D+08 (age_target - star_age)/age_sigma 304 59.1278883491 reducing max timestep prior to age target 304 3.8433127426908875D+08 (age_target - star_age)/age_sigma 305 57.9690460689 reducing max timestep prior to age target 305 3.7679879944775867D+08 (age_target - star_age)/age_sigma 306 56.8333806343 reducing max timestep prior to age target 306 3.6941697412285566D+08 (age_target - star_age)/age_sigma 307 55.7204285084 reducing max timestep prior to age target 307 3.6218278530445051D+08 (age_target - star_age)/age_sigma 308 54.6297354250 reducing max timestep prior to age target 308 3.5509328026241350D+08 (age_target - star_age)/age_sigma 309 53.5608562033 reducing max timestep prior to age target 309 3.4814556532121754D+08 310 7.175109 5611.950 -0.057044 -0.057044 1.000000 1.000000 0.414406 0.005097 0.237157 -1.539658 509 0 6.8331E+00 7.175109 -0.004065 -43.775519 -1.695632 -99.000000 0.000000 0.565563 0.008910 0.017418 0.112251 5 4.2282E+09 2.122299 -0.056981 -15.653560 -99.000000 -6.878829 0.000000 0.000018 0.002032 0.020031 0.000E+00 max_dt rel_E_err 1.8193765347513253D-13 log_rel_run_E_err -10.3084546720868797 (age_target - star_age)/age_sigma 310 52.5133545660 reducing max timestep prior to age target 310 3.4133680467884493D+08 (age_target - star_age)/age_sigma 311 51.4868029614 reducing max timestep prior to age target 311 3.3466421924932051D+08 (age_target - star_age)/age_sigma 312 50.4807823890 reducing max timestep prior to age target 312 3.2812508552838612D+08 (age_target - star_age)/age_sigma 313 49.4948822280 reducing max timestep prior to age target 313 3.2171673448187017D+08 (age_target - star_age)/age_sigma 314 48.5287000702 reducing max timestep prior to age target 314 3.1543655045628500D+08 (age_target - star_age)/age_sigma 315 47.5818415556 reducing max timestep prior to age target 315 3.0928197011121130D+08 (age_target - star_age)/age_sigma 316 46.6539202112 reducing max timestep prior to age target 316 3.0325048137303925D+08 (age_target - star_age)/age_sigma 317 45.7445572938 reducing max timestep prior to age target 317 2.9733962240963078D+08 (age_target - star_age)/age_sigma 318 44.8533816347 reducing max timestep prior to age target 318 2.9154698062548971D+08 (age_target - star_age)/age_sigma 319 43.9800294888 reducing max timestep prior to age target 319 2.8587019167703199D+08 320 7.176086 5613.187 -0.055076 -0.055076 1.000000 1.000000 0.409644 0.005108 0.236825 -1.537099 509 0 6.7453E+00 7.176086 -0.003273 -43.710824 -1.692631 -99.000000 0.000000 0.570319 0.008902 0.017396 0.112816 5 4.2892E+09 2.126260 -0.055014 -99.000000 -99.000000 -6.880166 0.000000 0.000018 0.002033 0.020037 0.000E+00 max_dt rel_E_err 1.8381641929364741D-13 log_rel_run_E_err -10.2929008151893235 (age_target - star_age)/age_sigma 320 43.1241443858 reducing max timestep prior to age target 320 2.8030693850754309D+08 (age_target - star_age)/age_sigma 321 42.2853769848 reducing max timestep prior to age target 321 2.7485495040144444D+08 (age_target - star_age)/age_sigma 322 41.4633849319 reducing max timestep prior to age target 322 2.6951200205746746D+08 (age_target - star_age)/age_sigma 323 40.6578327201 reducing max timestep prior to age target 323 2.6427591268037033D+08 (age_target - star_age)/age_sigma 324 39.8683915524 reducing max timestep prior to age target 324 2.5914454509081459D+08 (age_target - star_age)/age_sigma 325 39.0947392082 reducing max timestep prior to age target 325 2.5411580485305119D+08 (age_target - star_age)/age_sigma 326 38.3365599108 reducing max timestep prior to age target 326 2.4918763942004204D+08 (age_target - star_age)/age_sigma 327 37.5935441993 reducing max timestep prior to age target 327 2.4435803729569340D+08 (age_target - star_age)/age_sigma 328 36.8653888021 reducing max timestep prior to age target 328 2.3962502721383190D+08 (age_target - star_age)/age_sigma 329 36.1517965129 reducing max timestep prior to age target 329 2.3498667733360672D+08 330 7.176891 5614.191 -0.053463 -0.053463 1.000000 1.000000 0.405746 0.005117 0.236547 -1.534989 509 0 6.6576E+00 7.176891 -0.002622 -43.657731 -1.690153 -99.000000 0.000000 0.574213 0.008895 0.017378 0.113284 5 4.3391E+09 2.129518 -0.053401 -15.477469 -99.000000 -6.881261 0.000000 0.000018 0.002034 0.020042 0.000E+00 max_dt rel_E_err 1.8441506488535116D-13 log_rel_run_E_err -10.2780424770323116 (age_target - star_age)/age_sigma 330 35.4524760694 reducing max timestep prior to age target 330 2.3044109445098686D+08 (age_target - star_age)/age_sigma 331 34.7671420348 reducing max timestep prior to age target 331 2.2598642322601891D+08 (age_target - star_age)/age_sigma 332 34.0955146809 reducing max timestep prior to age target 332 2.2162084542555046D+08 (age_target - star_age)/age_sigma 333 33.4373198740 reducing max timestep prior to age target 333 2.1734257918109131D+08 (age_target - star_age)/age_sigma 334 32.7922889633 reducing max timestep prior to age target 334 2.1314987826152229D+08 (age_target - star_age)/age_sigma 335 32.1601586708 reducing max timestep prior to age target 335 2.0904103136034393D+08 (age_target - star_age)/age_sigma 336 31.5406709842 reducing max timestep prior to age target 336 2.0501436139718914D+08 (age_target - star_age)/age_sigma 337 30.9335730513 reducing max timestep prior to age target 337 2.0106822483329773D+08 (age_target - star_age)/age_sigma 338 30.3386170770 reducing max timestep prior to age target 338 1.9720101100068378D+08 340 7.177553 5615.010 -0.052136 -0.052136 1.000000 1.000000 0.402549 0.005125 0.236314 -1.533251 510 0 6.5786E+00 7.177553 -0.002085 -43.614086 -1.688106 -99.000000 0.000000 0.577406 0.008890 0.017363 0.113672 5 4.3799E+09 2.132201 -0.052074 -15.255620 -99.000000 -6.882164 0.000000 0.000018 0.002034 0.020046 0.000E+00 max_dt rel_E_err 1.7814520734278391D-13 log_rel_run_E_err -10.2635091386147081 (age_target - star_age)/age_sigma 340 29.1725033675 reducing max timestep prior to age target 340 1.8962127188876057D+08 (age_target - star_age)/age_sigma 341 28.6011076498 reducing max timestep prior to age target 341 1.8590719972391796D+08 (age_target - star_age)/age_sigma 342 28.0411398465 reducing max timestep prior to age target 342 1.8226740900237274D+08 (age_target - star_age)/age_sigma 343 27.4923713993 reducing max timestep prior to age target 343 1.7870041409525776D+08 (age_target - star_age)/age_sigma 344 26.9545783210 reducing max timestep prior to age target 344 1.7520475908628559D+08 (age_target - star_age)/age_sigma 345 26.4275411042 reducing max timestep prior to age target 345 1.7177901717749214D+08 (age_target - star_age)/age_sigma 346 25.9110446318 reducing max timestep prior to age target 346 1.6842179010687542D+08 (age_target - star_age)/age_sigma 347 25.4048780889 reducing max timestep prior to age target 347 1.6513170757767105D+08 (age_target - star_age)/age_sigma 348 24.9088348768 reducing max timestep prior to age target 348 1.6190742669904995D+08 (age_target - star_age)/age_sigma 349 24.4227125289 reducing max timestep prior to age target 349 1.5874763143800259D+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 -15.954590 -99.000000 -6.882916 0.000000 0.000019 0.002035 0.020049 0.000E+00 max_dt rel_E_err 1.7639609682695711D-13 log_rel_run_E_err -10.2494248629772624 (age_target - star_age)/age_sigma 350 23.9463126280 reducing max timestep prior to age target 350 1.5565103208217525D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.4794407251 reducing max timestep prior to age target 351 1.5261636471346474D+08 (age_target - star_age)/age_sigma 352 23.0219062603 reducing max timestep prior to age target 352 1.4964239069212818D+08 (age_target - star_age)/age_sigma 353 22.5735224848 reducing max timestep prior to age target 353 1.4672789615121841D+08 (age_target - star_age)/age_sigma 354 22.1341063848 reducing max timestep prior to age target 354 1.4387169150112724D+08 (age_target - star_age)/age_sigma 355 21.7034786068 reducing max timestep prior to age target 355 1.4107261094403744D+08 (age_target - star_age)/age_sigma 356 21.2814633843 reducing max timestep prior to age target 356 1.3832951199808979D+08 (age_target - star_age)/age_sigma 357 20.8678884663 reducing max timestep prior to age target 357 1.3564127503106022D+08 (age_target - star_age)/age_sigma 358 20.4625850467 reducing max timestep prior to age target 358 1.3300680280337238D+08 (age_target - star_age)/age_sigma 359 20.0653876954 reducing max timestep prior to age target 359 1.3042502002023697D+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 1.8990568960341299D-13 log_rel_run_E_err -10.2358831086639572 (age_target - star_age)/age_sigma 360 19.6761342912 reducing max timestep prior to age target 360 1.2789487289276505D+08 (age_target - star_age)/age_sigma 361 19.2946659551 reducing max timestep prior to age target 361 1.2541532870784283D+08 (age_target - star_age)/age_sigma 362 18.9208269856 reducing max timestep prior to age target 362 1.2298537540661907D+08 (age_target - star_age)/age_sigma 363 18.5544647956 reducing max timestep prior to age target 363 1.2060402117141914D+08 (age_target - star_age)/age_sigma 364 18.1954298494 reducing max timestep prior to age target 364 1.1827029402092361D+08 (age_target - star_age)/age_sigma 365 17.8435756021 reducing max timestep prior to age target 365 1.1598324141343784D+08 (age_target - star_age)/age_sigma 366 17.4987584397 reducing max timestep prior to age target 366 1.1374192985810184D+08 (age_target - star_age)/age_sigma 367 17.1608376206 reducing max timestep prior to age target 367 1.1154544453387356D+08 (age_target - star_age)/age_sigma 368 16.8296752179 reducing max timestep prior to age target 368 1.0939288891612816D+08 (age_target - star_age)/age_sigma 369 16.5051360632 reducing max timestep prior to age target 369 1.0728338441073895D+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 1.7914421504536459D-13 log_rel_run_E_err -10.2226202589795765 (age_target - star_age)/age_sigma 370 16.1870876916 reducing max timestep prior to age target 370 1.0521606999545765D+08 (age_target - star_age)/age_sigma 371 15.8754002875 reducing max timestep prior to age target 371 1.0319010186848068D+08 (age_target - star_age)/age_sigma 372 15.5699466314 reducing max timestep prior to age target 372 1.0120465310404396D+08 (age_target - star_age)/age_sigma 374 14.9712574655 reducing max timestep prior to age target 374 9.7313173525748253D+07 (age_target - star_age)/age_sigma 375 14.6778997742 reducing max timestep prior to age target 375 9.5406348532382965D+07 (age_target - star_age)/age_sigma 376 14.3904092368 reducing max timestep prior to age target 376 9.3537660038885117D+07 (age_target - star_age)/age_sigma 377 14.1086685100 reducing max timestep prior to age target 377 9.1706345315257072D+07 (age_target - star_age)/age_sigma 378 13.8325625979 reducing max timestep prior to age target 378 8.9911656886102676D+07 (age_target - star_age)/age_sigma 379 13.5619788039 reducing max timestep prior to age target 379 8.8152862225530624D+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 -15.352530 -99.000000 -6.884452 0.000000 0.000019 0.002036 0.020055 0.000E+00 max_dt rel_E_err 1.8020142527608952D-13 log_rel_run_E_err -10.2097357644002926 (age_target - star_age)/age_sigma 380 13.2968066859 reducing max timestep prior to age target 380 8.6429243458169937D+07 (age_target - star_age)/age_sigma 381 13.0369380102 reducing max timestep prior to age target 381 8.4740097066156387D+07 (age_target - star_age)/age_sigma 382 12.7822667080 reducing max timestep prior to age target 382 8.3084733601983070D+07 (age_target - star_age)/age_sigma 383 12.5326888319 reducing max timestep prior to age target 383 8.1462477407093048D+07 (age_target - star_age)/age_sigma 384 12.2881025132 reducing max timestep prior to age target 384 7.9872666336101532D+07 (age_target - star_age)/age_sigma 385 12.0484079210 reducing max timestep prior to age target 385 7.8314651486528397D+07 (age_target - star_age)/age_sigma 386 11.8135072206 reducing max timestep prior to age target 386 7.6787796933947563D+07 (age_target - star_age)/age_sigma 387 11.5833045342 reducing max timestep prior to age target 387 7.5291479472418785D+07 (age_target - star_age)/age_sigma 388 11.3577059016 reducing max timestep prior to age target 388 7.3825088360119820D+07 (age_target - star_age)/age_sigma 389 11.1366192415 reducing max timestep prior to age target 389 7.2388025070067406D+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 -15.255620 -99.000000 -6.884795 0.000000 0.000019 0.002036 0.020056 0.000E+00 max_dt rel_E_err 1.7782522836970135D-13 log_rel_run_E_err -10.1970956886144037 (age_target - star_age)/age_sigma 390 10.9199543147 reducing max timestep prior to age target 390 7.0979703045816422D+07 (age_target - star_age)/age_sigma 391 10.7076226865 reducing max timestep prior to age target 391 6.9599547462049484D+07 (age_target - star_age)/age_sigma 392 10.4995376908 reducing max timestep prior to age target 392 6.8246994989958763D+07 (age_target - star_age)/age_sigma 393 10.2956143950 reducing max timestep prior to age target 393 6.6921493567309380D+07 (age_target - star_age)/age_sigma 394 10.0957695651 reducing max timestep prior to age target 394 6.5622502173112869D+07 (age_target - star_age)/age_sigma 395 9.8999216318 reducing max timestep prior to age target 395 6.4349490606801033D+07 (age_target - star_age)/age_sigma 396 9.7079906572 reducing max timestep prior to age target 396 6.3101939271815300D+07 (age_target - star_age)/age_sigma 397 9.5198983021 reducing max timestep prior to age target 397 6.1879338963528633D+07 (age_target - star_age)/age_sigma 398 9.3355677941 reducing max timestep prior to age target 398 6.0681190661407471D+07 (age_target - star_age)/age_sigma 399 9.1549238962 reducing max timestep prior to age target 399 5.9507005325328827D+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 4 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 1.8361241858252624D-13 log_rel_run_E_err -10.1848902204690628 (age_target - star_age)/age_sigma 400 8.9778928763 reducing max timestep prior to age target 400 5.8356303695972443D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.8044024768 reducing max timestep prior to age target 401 5.7228616099203110D+07 (age_target - star_age)/age_sigma 402 8.6343818853 reducing max timestep prior to age target 402 5.6123482254368782D+07 (age_target - star_age)/age_sigma 403 8.4677617056 reducing max timestep prior to age target 403 5.5040451086430550D+07 (age_target - star_age)/age_sigma 404 8.3044739295 reducing max timestep prior to age target 404 5.3979080541851997D+07 (age_target - star_age)/age_sigma 405 8.1444519089 reducing max timestep prior to age target 405 5.2938937408164978D+07 (age_target - star_age)/age_sigma 406 7.9876303288 reducing max timestep prior to age target 406 5.1919597137151718D+07 (age_target - star_age)/age_sigma 407 7.8339451802 reducing max timestep prior to age target 407 5.0920643671558380D+07 (age_target - star_age)/age_sigma 409 7.5327222891 reducing max timestep prior to age target 409 4.8962694878995895D+07 410 7.179880 5617.800 -0.047515 -0.047515 1.000000 1.000000 0.391417 0.005155 0.235519 -1.527144 510 0 5.9820E+00 7.179880 -0.000207 -43.461526 -1.680893 -99.000000 0.000000 0.588525 0.008867 0.017311 0.115048 3 4.5215E+09 2.141609 -0.047455 -15.653560 -99.000000 -6.885307 0.000000 0.000019 0.002036 0.020058 0.000E+00 max_dt rel_E_err 1.8832732234127181D-13 log_rel_run_E_err -10.1731997608809657 (age_target - star_age)/age_sigma 410 7.3851230724 reducing max timestep prior to age target 410 4.8003299970640182D+07 (age_target - star_age)/age_sigma 411 7.2404758401 reducing max timestep prior to age target 411 4.7063092960452080D+07 (age_target - star_age)/age_sigma 412 7.0987215524 reducing max timestep prior to age target 412 4.6141690090467453D+07 (age_target - star_age)/age_sigma 413 6.9598023504 reducing max timestep prior to age target 413 4.5238715277882576D+07 (age_target - star_age)/age_sigma 414 6.8236615325 reducing max timestep prior to age target 414 4.4353799961549759D+07 (age_target - star_age)/age_sigma 415 6.6902435310 reducing max timestep prior to age target 415 4.3486582951542854D+07 (age_target - star_age)/age_sigma 416 6.5594938895 reducing max timestep prior to age target 416 4.2636710281736374D+07 (age_target - star_age)/age_sigma 417 6.4313592408 reducing max timestep prior to age target 417 4.1803835065325737D+07 (age_target - star_age)/age_sigma 418 6.3057872851 reducing max timestep prior to age target 418 4.0987617353243828D+07 (age_target - star_age)/age_sigma 419 6.1827267685 reducing max timestep prior to age target 419 4.0187723995403290D+07 420 7.180023 5617.968 -0.047233 -0.047233 1.000000 1.000000 0.390739 0.005157 0.235472 -1.526770 510 0 5.8943E+00 7.180023 -0.000092 -43.452204 -1.680449 -99.000000 0.000000 0.589202 0.008866 0.017308 0.115133 3 4.5301E+09 2.142186 -0.047173 -99.000000 -99.000000 -6.885498 0.000000 0.000019 0.002036 0.020059 0.000E+00 max_dt rel_E_err 1.8123320196318079D-13 log_rel_run_E_err -10.1617535752067560 (age_target - star_age)/age_sigma 420 6.0621274623 reducing max timestep prior to age target 420 3.9403828504718781D+07 (age_target - star_age)/age_sigma 421 5.9439401421 reducing max timestep prior to age target 421 3.8635610923849106D+07 (age_target - star_age)/age_sigma 422 5.8281165684 reducing max timestep prior to age target 422 3.7882757694596291D+07 (age_target - star_age)/age_sigma 423 5.7146094661 reducing max timestep prior to age target 423 3.7144961529929161D+07 (age_target - star_age)/age_sigma 424 5.6033725059 reducing max timestep prior to age target 424 3.6421921288554192D+07 (age_target - star_age)/age_sigma 425 5.4943602849 reducing max timestep prior to age target 425 3.5713341852007866D+07 (age_target - star_age)/age_sigma 426 5.3875283083 reducing max timestep prior to age target 426 3.5018934004191399D+07 (age_target - star_age)/age_sigma 427 5.2828329713 reducing max timestep prior to age target 427 3.4338414313331604D+07 (age_target - star_age)/age_sigma 428 5.1802315410 reducing max timestep prior to age target 428 3.3671505016288757D+07 (age_target - star_age)/age_sigma 429 5.0796821393 reducing max timestep prior to age target 429 3.3017933905187607D+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 1.7907968116766985D-13 log_rel_run_E_err -10.1505791155412783 (age_target - star_age)/age_sigma 430 4.9800805287 remaining steps and years until age target 430 50 3.2370523436458588D+07 (age_target - star_age)/age_sigma 431 4.8804789181 remaining steps and years until age target 431 49 3.1723112967729568D+07 (age_target - star_age)/age_sigma 432 4.7808773075 remaining steps and years until age target 432 48 3.1075702499000549D+07 (age_target - star_age)/age_sigma 433 4.6812756970 reducing max timestep prior to age target 433 3.0428292030270576D+07 (age_target - star_age)/age_sigma 434 4.5816740864 remaining steps and years until age target 434 46 2.9780881561541557D+07 (age_target - star_age)/age_sigma 435 4.4820724758 remaining steps and years until age target 435 45 2.9133471092812538D+07 (age_target - star_age)/age_sigma 436 4.3824708652 remaining steps and years until age target 436 44 2.8486060624083519D+07 (age_target - star_age)/age_sigma 437 4.2828692547 remaining steps and years until age target 437 43 2.7838650155354500D+07 (age_target - star_age)/age_sigma 438 4.1832676441 remaining steps and years until age target 438 42 2.7191239686625481D+07 (age_target - star_age)/age_sigma 439 4.0836660335 reducing max timestep prior to age target 439 2.6543829217895508D+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 1.8057698815763058D-13 log_rel_run_E_err -10.1395880623414278 (age_target - star_age)/age_sigma 440 3.9840644229 remaining steps and years until age target 440 40 2.5896418749166489D+07 (age_target - star_age)/age_sigma 441 3.8844628124 remaining steps and years until age target 441 39 2.5249008280437469D+07 (age_target - star_age)/age_sigma 442 3.7848612018 remaining steps and years until age target 442 38 2.4601597811708450D+07 (age_target - star_age)/age_sigma 443 3.6852595912 remaining steps and years until age target 443 37 2.3954187342979431D+07 (age_target - star_age)/age_sigma 444 3.5856579807 remaining steps and years until age target 444 36 2.3306776874250412D+07 (age_target - star_age)/age_sigma 445 3.4860563701 reducing max timestep prior to age target 445 2.2659366405520439D+07 (age_target - star_age)/age_sigma 446 3.3864547595 remaining steps and years until age target 446 34 2.2011955936791420D+07 (age_target - star_age)/age_sigma 447 3.2868531489 remaining steps and years until age target 447 33 2.1364545468062401D+07 (age_target - star_age)/age_sigma 448 3.1872515384 remaining steps and years until age target 448 32 2.0717134999333382D+07 (age_target - star_age)/age_sigma 449 3.0876499278 remaining steps and years until age target 449 31 2.0069724530604362D+07 450 7.180355 5618.358 -0.046577 -0.046577 1.000000 1.000000 0.389163 0.005161 0.235361 -1.525898 510 0 5.8112E+00 7.180355 0.000176 -43.430516 -1.679414 -99.000000 0.000000 0.590777 0.008863 0.017301 0.115331 3 4.5501E+09 2.143527 -0.046518 -99.000000 -99.000000 -6.885942 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt rel_E_err 1.7434463845812513D-13 log_rel_run_E_err -10.1291061670114306 (age_target - star_age)/age_sigma 450 2.9880483172 remaining steps and years until age target 450 30 1.9422314061875343D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8884467066 reducing max timestep prior to age target 451 1.8774903593145370D+07 (age_target - star_age)/age_sigma 452 2.7888450961 remaining steps and years until age target 452 28 1.8127493124416351D+07 (age_target - star_age)/age_sigma 453 2.6892434855 remaining steps and years until age target 453 27 1.7480082655687332D+07 (age_target - star_age)/age_sigma 454 2.5896418749 remaining steps and years until age target 454 26 1.6832672186958313D+07 (age_target - star_age)/age_sigma 455 2.4900402643 remaining steps and years until age target 455 25 1.6185261718229294D+07 (age_target - star_age)/age_sigma 456 2.3904386538 remaining steps and years until age target 456 24 1.5537851249500275D+07 (age_target - star_age)/age_sigma 457 2.2908370432 reducing max timestep prior to age target 457 1.4890440780770302D+07 (age_target - star_age)/age_sigma 458 2.1912354326 remaining steps and years until age target 458 22 1.4243030312041283D+07 (age_target - star_age)/age_sigma 459 2.0916338220 remaining steps and years until age target 459 21 1.3595619843312263D+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 1.7841844868238388D-13 log_rel_run_E_err -10.1186427372668888 (age_target - star_age)/age_sigma 460 1.9920322115 remaining steps and years until age target 460 20 1.2948209374583244D+07 (age_target - star_age)/age_sigma 461 1.8924306009 remaining steps and years until age target 461 19 1.2300798905854225D+07 (age_target - star_age)/age_sigma 462 1.7928289903 remaining steps and years until age target 462 18 1.1653388437125206D+07 (age_target - star_age)/age_sigma 463 1.6932273798 reducing max timestep prior to age target 463 1.1005977968395233D+07 (age_target - star_age)/age_sigma 464 1.5936257692 remaining steps and years until age target 464 16 1.0358567499666214D+07 (age_target - star_age)/age_sigma 465 1.4940241586 remaining steps and years until age target 465 15 9.7111570309371948D+06 (age_target - star_age)/age_sigma 466 1.3944225480 remaining steps and years until age target 466 14 9.0637465622081757D+06 (age_target - star_age)/age_sigma 467 1.2948209375 remaining steps and years until age target 467 13 8.4163360934791565D+06 (age_target - star_age)/age_sigma 468 1.1952193269 remaining steps and years until age target 468 12 7.7689256247501373D+06 (age_target - star_age)/age_sigma 469 1.0956177163 reducing max timestep prior to age target 469 7.1215151560201645D+06 470 7.180570 5618.611 -0.046152 -0.046152 1.000000 1.000000 0.388141 0.005164 0.235290 -1.525331 510 0 5.8112E+00 7.180570 0.000349 -43.416442 -1.678742 -99.000000 0.000000 0.591798 0.008860 0.017296 0.115460 3 4.5630E+09 2.144398 -0.046092 -15.954590 -99.000000 -6.886230 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.7326005526705401D-13 log_rel_run_E_err -10.1081533225142977 (age_target - star_age)/age_sigma 470 0.9960161057 remaining steps and years until age target 470 10 6.4741046872911453D+06 (age_target - star_age)/age_sigma 471 0.8964144952 remaining steps and years until age target 471 9 5.8266942185621262D+06 (age_target - star_age)/age_sigma 472 0.7968128846 remaining steps and years until age target 472 8 5.1792837498331070D+06 (age_target - star_age)/age_sigma 473 0.6972112740 remaining steps and years until age target 473 7 4.5318732811040878D+06 (age_target - star_age)/age_sigma 474 0.5976096634 reducing max timestep prior to age target 474 3.8844628123741150D+06 (age_target - star_age)/age_sigma 475 0.4980080529 remaining steps and years until age target 475 5 3.2370523436450958D+06 (age_target - star_age)/age_sigma 476 0.3984064423 remaining steps and years until age target 476 4 2.5896418749170303D+06 (age_target - star_age)/age_sigma 477 0.2988048317 remaining steps and years until age target 477 3 1.9422314061880112D+06 (age_target - star_age)/age_sigma 478 0.1992032211 reducing max timestep prior to age target 478 1.2948209374580383D+06 (age_target - star_age)/age_sigma 479 0.0996016106 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 1.7261047674430508D-13 log_rel_run_E_err -10.0983361809806400 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333338.76 0.00 333338.76 save outputs/best.mod 480 save outputs/best.profile for model 480 save LOGS/profile11.data for model 480 have reached age_target save LOGS/profile11.data for model 480 solver retries 5 varcontrol dt limit 202 max increase dt limit 2677 lgTeff dt limit 1 lgRho_cntr dt limit 92 model saved to final.mod save photos/x480 for model 480 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333338.76 0.00 333338.76 have reached age_target runtime (minutes), retries, steps 2.91 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 1.7261047674430508D-13 log_rel_run_E_err -10.0983361809806400 Teff 5618.7368615173 radius 1.0010042019 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1.0084215507 M_H 0.0039078812 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 15.2715351874 log_R 0.0004359005 delta_nu 141.3127210040 nu_max 3113.4409186023 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 333338.7599855794 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 "9dea5ab" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251009" "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 3.3333875998557935E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615172900E+03 1.0010042019471497E+00 3.9078811634217052E-03 4.3590053489322983E-04 1.4131272100404678E+02 3.1134409186022872E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557935E+05 0 0 0 0 0 0 0 4 3.3337679267851578E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620724863E+03 1.0114129282000397E+00 3.5086385976877904E-04 4.9285006214752139E-03 1.3913658568070426E+02 3.0234851123029280E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851578E+05 0 0 0 0 0 0 0 1 3.3351283960191562E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383755896E+03 1.0231407131232713E+00 -1.7395981987816708E-03 9.9353665865147631E-03 1.3680762272707830E+02 2.9640776267841038E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191562E+05 0 0 0 0 0 0 0 3 3.3365606602478313E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078364049E+03 1.0099970103005844E+00 2.9466215559506938E-02 4.3200882263252959E-03 1.3947582155337045E+02 3.0536692076816480E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602478313E+05 0 0 0 0 0 0 0 2 3.3468070564326667E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399265890E+03 1.0622782375811581E+00 -1.2788199778892683E-02 2.6238284372221875E-02 1.2938435093838254E+02 2.7294282123468802E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326667E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 3.3000000000000002D-02 -4.5000000000000001D-01 next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 solver rejected trial model s% model_number 5 s% solver_call_number 5 nz 403 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562812810010300D-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 1.8246321914822070D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692963882808436D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1237564951901089D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.620908 4342.789 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 0 -4.2874E+00 6.620908 0.263043 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 2.5959E-04 0.154703 0.031855 -20.771070 -99.000000 -6.892801 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5168415495366664D-13 log_rel_run_E_err -11.5761204220786738 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 2.7181888732149046D-13 log_rel_run_E_err -11.2785978227998651 30 6.620909 4361.398 -4.908929 -4.908929 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1 -3.0840E+00 6.620909 0.263069 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 5 5.1182E-03 0.154704 0.039335 -20.293948 -99.000000 -6.900725 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7424251234514187D-13 log_rel_run_E_err -11.0990296776688613 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 2.6715806842857454D-13 log_rel_run_E_err -10.9717555093160453 50 6.620909 4360.365 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1 -1.5003E+00 6.620909 0.263067 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 4 1.8977E-01 0.154704 0.038918 -99.000000 -99.000000 -6.900290 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6007361930325806D-13 log_rel_run_E_err -10.8748864777543019 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.620909 4359.635 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027572 457 1 -7.0852E-01 6.620909 0.263061 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 5 1.1741E+00 0.154704 0.038615 -99.000000 -99.000000 -6.899978 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6697158941041531D-13 log_rel_run_E_err -10.7959906830611150 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 -20.072100 -99.000000 -6.899973 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6566631506353143D-13 log_rel_run_E_err -10.7293741542762788 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 2.6081757696455775D-13 log_rel_run_E_err -10.6716284511005597 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 4.3492912254725120D-13 log_rel_run_E_err -10.5767982717800173 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.620999 4359.468 -4.907882 -4.907882 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027077 457 1 2.4587E+00 6.620999 0.262944 -99.000000 -6.305631 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071842 2 1.7254E+03 0.155054 0.038316 -99.000000 -99.000000 -6.899769 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6932479604369025D-13 log_rel_run_E_err -10.5341263668252481 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.621478 4358.901 -4.902453 -4.902453 1.000000 1.000000 0.712376 0.000890 0.270000 -4.024505 457 1 3.2505E+00 6.621478 0.262374 -99.000000 -6.300201 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071864 2 1.0683E+04 0.156883 0.036950 -99.000000 -99.000000 -6.898850 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.4867193894346960D-13 log_rel_run_E_err -10.4963969624070028 120 6.624383 4355.426 -4.869457 -4.869457 1.000000 1.000000 0.712376 0.000890 0.270000 -4.008751 457 1 4.0424E+00 6.624383 0.258903 -99.000000 -6.267202 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071999 2 6.6147E+04 0.168041 0.028623 -99.000000 -99.000000 -6.893241 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 6.4611219045702688D-15 log_rel_run_E_err -10.4694122393170819 130 6.640351 4335.169 -4.685960 -4.685960 1.000000 1.000000 0.712375 0.000890 0.270000 -3.916606 457 1 4.8342E+00 6.640351 0.239476 -99.000000 -6.083690 -99.000000 0.000000 0.270000 0.008266 0.017624 0.072878 3 4.0956E+05 0.231758 -0.018330 -99.000000 -99.000000 -6.861216 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.3916970505429569D-13 log_rel_run_E_err -10.4164603462366010 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 4.6082455246497772D-12 log_rel_run_E_err -10.3492896084501940 150 6.806573 4347.077 -2.828025 -2.828025 1.000000 1.000000 0.712368 0.000890 0.269997 -2.614110 470 1 5.9018E+00 6.806573 0.066775 -99.000000 -4.225254 -99.000000 0.000000 0.270007 0.008266 0.017624 0.092357 4 9.5409E+06 1.039036 -0.358968 -18.362830 -99.000000 -6.658262 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr rel_E_err 2.1078118381620624D-13 log_rel_run_E_err -10.4580420034362547 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 6.953254 4996.719 -1.535261 -1.535261 1.000000 1.000000 0.712325 0.000890 0.269986 -1.793444 486 1 5.9977E+00 6.953254 0.023246 -99.000000 -2.931449 -99.000000 0.000000 0.270050 0.008267 0.017624 0.101550 4 1.9938E+07 1.602668 -0.204075 -16.681588 -99.000000 -6.778611 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr rel_E_err 1.8405317117333806D-13 log_rel_run_E_err -10.5780929943548738 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 -99.000000 -99.000000 -6.824534 0.000000 0.002361 0.001838 0.017740 0.000E+00 max increase rel_E_err 2.0997038661070961D-13 log_rel_run_E_err -10.6843371920869359 (age_target - star_age)/age_sigma 173 694.7474824478 reducing max timestep prior to age target 173 4.5158586359107094D+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 1.8338367264938789D-13 log_rel_run_E_err -10.6481057885806649 (age_target - star_age)/age_sigma 180 680.4785088767 reducing max timestep prior to age target 180 4.4231103076982689D+09 (age_target - star_age)/age_sigma 183 666.0693698668 reducing max timestep prior to age target 183 4.3294509041339655D+09 (age_target - star_age)/age_sigma 185 651.0205284217 reducing max timestep prior to age target 185 4.2316334347410927D+09 (age_target - star_age)/age_sigma 187 629.3501967408 reducing max timestep prior to age target 187 4.0907762788153558D+09 (age_target - star_age)/age_sigma 188 617.0312528831 reducing max timestep prior to age target 188 4.0107031437403760D+09 (age_target - star_age)/age_sigma 189 604.9586879026 reducing max timestep prior to age target 189 3.9322314713668962D+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 2.0838799943509899D-13 log_rel_run_E_err -10.6133628342494184 (age_target - star_age)/age_sigma 190 593.1275742217 reducing max timestep prior to age target 190 3.8553292324408855D+09 (age_target - star_age)/age_sigma 191 581.5330828144 reducing max timestep prior to age target 191 3.7799650382933955D+09 (age_target - star_age)/age_sigma 192 570.1704812352 reducing max timestep prior to age target 192 3.7061081280288553D+09 (age_target - star_age)/age_sigma 193 559.0351316876 reducing max timestep prior to age target 193 3.6337283559696054D+09 (age_target - star_age)/age_sigma 194 548.1224891310 reducing max timestep prior to age target 194 3.5627961793515410D+09 (age_target - star_age)/age_sigma 195 537.4280994255 reducing max timestep prior to age target 195 3.4932826462658377D+09 (age_target - star_age)/age_sigma 196 526.9475975141 reducing max timestep prior to age target 196 3.4251593838418484D+09 (age_target - star_age)/age_sigma 197 516.6767056410 reducing max timestep prior to age target 197 3.3583985866663389D+09 (age_target - star_age)/age_sigma 198 506.6112316053 reducing max timestep prior to age target 198 3.2929730054343400D+09 (age_target - star_age)/age_sigma 199 496.7470670503 reducing max timestep prior to age target 199 3.2288559358269806D+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 -45.850342 -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 2.0653972206542192D-13 log_rel_run_E_err -10.5816970244189328 (age_target - star_age)/age_sigma 200 487.0801857864 reducing max timestep prior to age target 200 3.1660212076117687D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 477.6066421478 reducing max timestep prior to age target 201 3.1044431739608612D+09 (age_target - star_age)/age_sigma 202 468.3225693820 reducing max timestep prior to age target 202 3.0440967009829712D+09 (age_target - star_age)/age_sigma 203 459.2241780715 reducing max timestep prior to age target 203 2.9849571574646397D+09 (age_target - star_age)/age_sigma 204 450.3077545872 reducing max timestep prior to age target 204 2.9270004048166742D+09 (age_target - star_age)/age_sigma 205 441.5696595726 reducing max timestep prior to age target 205 2.8702027872216682D+09 (age_target - star_age)/age_sigma 206 433.0063264582 reducing max timestep prior to age target 206 2.8145411219785624D+09 (age_target - star_age)/age_sigma 207 424.6142600062 reducing max timestep prior to age target 207 2.7599926900403190D+09 (age_target - star_age)/age_sigma 208 416.3900348832 reducing max timestep prior to age target 208 2.7065352267408400D+09 (age_target - star_age)/age_sigma 209 408.3302942627 reducing max timestep prior to age target 209 2.6541469127073507D+09 210 7.155057 5669.413 -0.073098 -0.073098 1.000000 1.000000 0.560889 0.004541 0.256645 -1.616088 516 1 7.7105E+00 7.155057 -0.020935 -45.280447 -1.730337 -99.000000 0.000000 0.420732 0.008318 0.016841 0.096566 10 1.9667E+09 2.018642 -0.073024 -15.653560 -99.000000 -6.860073 0.000000 0.000015 0.001863 0.018379 0.000E+00 max_dt rel_E_err 2.0437789941877757D-13 log_rel_run_E_err -10.5521956822785956 (age_target - star_age)/age_sigma 210 400.4317484545 reducing max timestep prior to age target 210 2.6028063649545317D+09 (age_target - star_age)/age_sigma 211 392.6911735626 reducing max timestep prior to age target 211 2.5524926281567683D+09 (age_target - star_age)/age_sigma 212 385.1054101685 reducing max timestep prior to age target 212 2.5031851660949607D+09 (age_target - star_age)/age_sigma 213 377.6713620422 reducing max timestep prior to age target 213 2.4548638532743893D+09 (age_target - star_age)/age_sigma 214 370.3859948785 reducing max timestep prior to age target 214 2.4075089667102284D+09 (age_target - star_age)/age_sigma 215 363.2463350581 reducing max timestep prior to age target 215 2.3611011778773518D+09 (age_target - star_age)/age_sigma 216 356.2494684340 reducing max timestep prior to age target 216 2.3156215448211322D+09 (age_target - star_age)/age_sigma 217 349.3925391425 reducing max timestep prior to age target 217 2.2710515044260368D+09 (age_target - star_age)/age_sigma 218 342.6727484367 reducing max timestep prior to age target 218 2.2273728648388438D+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 -15.477469 -99.000000 -6.871048 0.000000 0.000015 0.001868 0.018433 0.000E+00 max_dt rel_E_err 1.8608041564208182D-13 log_rel_run_E_err -10.5244900766261296 (age_target - star_age)/age_sigma 220 329.5019586535 reducing max timestep prior to age target 220 2.1417627312479458D+09 (age_target - star_age)/age_sigma 221 323.0482716598 reducing max timestep prior to age target 221 2.0998137657884059D+09 (age_target - star_age)/age_sigma 222 316.7236584059 reducing max timestep prior to age target 222 2.0587037796380563D+09 (age_target - star_age)/age_sigma 223 310.5255374170 reducing max timestep prior to age target 223 2.0184159932107134D+09 (age_target - star_age)/age_sigma 224 304.4513788480 reducing max timestep prior to age target 224 1.9789339625119176D+09 (age_target - star_age)/age_sigma 225 298.4987034503 reducing max timestep prior to age target 225 1.9402415724270983D+09 (age_target - star_age)/age_sigma 226 292.6650815606 reducing max timestep prior to age target 226 1.9023230301439748D+09 (age_target - star_age)/age_sigma 227 286.9481321087 reducing max timestep prior to age target 227 1.8651628587065139D+09 (age_target - star_age)/age_sigma 228 281.3455216458 reducing max timestep prior to age target 228 1.8287458906978025D+09 (age_target - star_age)/age_sigma 229 275.8549633922 reducing max timestep prior to age target 229 1.7930572620492649D+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 1.7862378481069736D-13 log_rel_run_E_err -10.4993508065210932 (age_target - star_age)/age_sigma 230 270.4742163036 reducing max timestep prior to age target 230 1.7580824059736986D+09 (age_target - star_age)/age_sigma 231 265.2010841569 reducing max timestep prior to age target 231 1.7238070470196428D+09 (age_target - star_age)/age_sigma 232 260.0334146530 reducing max timestep prior to age target 232 1.6902171952446690D+09 (age_target - star_age)/age_sigma 233 254.9690985393 reducing max timestep prior to age target 233 1.6572991405051942D+09 (age_target - star_age)/age_sigma 234 250.0060687478 reducing max timestep prior to age target 234 1.6250394468605089D+09 (age_target - star_age)/age_sigma 235 245.1422995521 reducing max timestep prior to age target 235 1.5934249470887175D+09 (age_target - star_age)/age_sigma 236 240.3758057404 reducing max timestep prior to age target 236 1.5624427373123617D+09 (age_target - star_age)/age_sigma 237 235.7046418049 reducing max timestep prior to age target 237 1.5320801717315335D+09 (age_target - star_age)/age_sigma 238 231.1269011480 reducing max timestep prior to age target 238 1.5023248574623218D+09 (age_target - star_age)/age_sigma 239 226.6407153044 reducing max timestep prior to age target 239 1.4731646494784937D+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 1.7425438345266208D-13 log_rel_run_E_err -10.4748588156781786 (age_target - star_age)/age_sigma 240 222.2442531776 reducing max timestep prior to age target 240 1.4445876456543422D+09 (age_target - star_age)/age_sigma 241 217.9357202933 reducing max timestep prior to age target 241 1.4165821819066744D+09 (age_target - star_age)/age_sigma 242 213.7133580668 reducing max timestep prior to age target 242 1.3891368274339595D+09 (age_target - star_age)/age_sigma 243 209.5754430847 reducing max timestep prior to age target 243 1.3622403800506988D+09 (age_target - star_age)/age_sigma 244 205.5202864023 reducing max timestep prior to age target 244 1.3358818616151037D+09 (age_target - star_age)/age_sigma 245 201.5462328536 reducing max timestep prior to age target 245 1.3100505135482202D+09 (age_target - star_age)/age_sigma 246 197.6516603758 reducing max timestep prior to age target 246 1.2847357924426746D+09 (age_target - star_age)/age_sigma 247 193.8349793476 reducing max timestep prior to age target 247 1.2599273657592397D+09 (age_target - star_age)/age_sigma 248 190.0946319399 reducing max timestep prior to age target 248 1.2356151076094737D+09 (age_target - star_age)/age_sigma 249 186.4290914804 reducing max timestep prior to age target 249 1.2117890946227031D+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 1.9803745651298942D-13 log_rel_run_E_err -10.4518000267010596 (age_target - star_age)/age_sigma 250 182.8368618301 reducing max timestep prior to age target 250 1.1884396018956676D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.3164767728 reducing max timestep prior to age target 251 1.1655570990231729D+09 (age_target - star_age)/age_sigma 252 175.8664994166 reducing max timestep prior to age target 252 1.1431322462081280D+09 (age_target - star_age)/age_sigma 254 169.1045437986 reducing max timestep prior to age target 254 1.0991795346906395D+09 (age_target - star_age)/age_sigma 255 165.7911855457 reducing max timestep prior to age target 255 1.0776427060470710D+09 (age_target - star_age)/age_sigma 256 162.5440944579 reducing max timestep prior to age target 256 1.0565366139763732D+09 (age_target - star_age)/age_sigma 257 159.3619451919 reducing max timestep prior to age target 257 1.0358526437470894D+09 (age_target - star_age)/age_sigma 258 156.2434389111 reducing max timestep prior to age target 258 1.0155823529223914D+09 (age_target - star_age)/age_sigma 259 153.1873027560 reducing max timestep prior to age target 259 9.9571746791418743D+08 260 7.180601 5703.972 -0.019052 -0.019052 1.000000 1.000000 0.424490 0.004764 0.245644 -1.554118 519 1 7.2893E+00 7.180601 0.000805 -43.521290 -1.654301 -99.000000 0.000000 0.556957 0.008207 0.016187 0.109519 10 3.5933E+09 2.121633 -0.018987 -99.000000 -99.000000 -6.900359 0.000000 0.000017 0.001883 0.018553 0.000E+00 max_dt rel_E_err 1.8505190770784744D-13 log_rel_run_E_err -10.4301322303762358 (age_target - star_age)/age_sigma 260 150.1922893240 reducing max timestep prior to age target 260 9.7624988060614729D+08 (age_target - star_age)/age_sigma 261 147.2571761607 reducing max timestep prior to age target 261 9.5717164504426861D+08 (age_target - star_age)/age_sigma 262 144.3807652606 reducing max timestep prior to age target 262 9.3847497419362688D+08 (age_target - star_age)/age_sigma 263 141.5618825785 reducing max timestep prior to age target 263 9.2015223675999784D+08 (age_target - star_age)/age_sigma 264 138.7993775500 reducing max timestep prior to age target 264 9.0219595407504177D+08 (age_target - star_age)/age_sigma 265 136.0921226221 reducing max timestep prior to age target 265 8.8459879704378462D+08 (age_target - star_age)/age_sigma 266 133.4390127928 reducing max timestep prior to age target 266 8.6735358315315294D+08 (age_target - star_age)/age_sigma 267 130.8389651601 reducing max timestep prior to age target 267 8.5045327354033375D+08 (age_target - star_age)/age_sigma 268 128.2909184800 reducing max timestep prior to age target 268 8.3389097011977100D+08 (age_target - star_age)/age_sigma 269 125.7938327335 reducing max timestep prior to age target 269 8.1765991276761913D+08 270 7.183664 5707.244 -0.012909 -0.012909 1.000000 1.000000 0.409279 0.004804 0.244479 -1.546500 519 1 7.2016E+00 7.183664 0.003376 -43.319284 -1.644665 -99.000000 0.000000 0.572153 0.008175 0.016117 0.111261 10 3.7677E+09 2.133953 -0.012848 -99.000000 -99.000000 -6.904912 0.000000 0.000018 0.001885 0.018567 0.000E+00 max_dt rel_E_err 1.7659654759216367D-13 log_rel_run_E_err -10.4092767195367895 (age_target - star_age)/age_sigma 270 123.3466887019 reducing max timestep prior to age target 270 8.0175347656251049D+08 (age_target - star_age)/age_sigma 271 120.9484875510 reducing max timestep prior to age target 271 7.8616516908150434D+08 (age_target - star_age)/age_sigma 272 118.5982504231 reducing max timestep prior to age target 272 7.7088862775011778D+08 (age_target - star_age)/age_sigma 273 116.2950180377 reducing max timestep prior to age target 273 7.5591761724535894D+08 (age_target - star_age)/age_sigma 274 114.0378503001 reducing max timestep prior to age target 274 7.4124602695069599D+08 (age_target - star_age)/age_sigma 275 111.8258259172 reducing max timestep prior to age target 275 7.2686786846192551D+08 (age_target - star_age)/age_sigma 276 109.6580420220 reducing max timestep prior to age target 276 7.1277727314293098D+08 (age_target - star_age)/age_sigma 277 107.5336138047 reducing max timestep prior to age target 277 6.9896848973031616D+08 (age_target - star_age)/age_sigma 278 105.4516741517 reducing max timestep prior to age target 278 6.8543588198595381D+08 (age_target - star_age)/age_sigma 279 103.4113732918 reducing max timestep prior to age target 279 6.7217392639647818D+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 2.0127535147615628D-13 log_rel_run_E_err -10.3887483122755295 (age_target - star_age)/age_sigma 280 101.4118784490 reducing max timestep prior to age target 280 6.5917720991879225D+08 (age_target - star_age)/age_sigma 281 99.4523735032 reducing max timestep prior to age target 281 6.4644042777066040D+08 (age_target - star_age)/age_sigma 282 97.5320586562 reducing max timestep prior to age target 282 6.3395838126549101D+08 (age_target - star_age)/age_sigma 283 95.6501501062 reducing max timestep prior to age target 283 6.2172597569042492D+08 (age_target - star_age)/age_sigma 284 93.8058797272 reducing max timestep prior to age target 284 6.0973821822686052D+08 (age_target - star_age)/age_sigma 285 91.9984947558 reducing max timestep prior to age target 285 5.9799021591256666D+08 (age_target - star_age)/age_sigma 286 90.2272574838 reducing max timestep prior to age target 286 5.8647717364455891D+08 (age_target - star_age)/age_sigma 287 88.4914449572 reducing max timestep prior to age target 287 5.7519439222191143D+08 (age_target - star_age)/age_sigma 289 85.0892524052 reducing max timestep prior to age target 289 5.5308014063352299D+08 290 7.188366 5711.910 -0.003640 -0.003640 1.000000 1.000000 0.386416 0.004874 0.242710 -1.534784 520 1 7.0349E+00 7.188366 0.007299 -43.012754 -1.629692 -99.000000 0.000000 0.594997 0.008115 0.016011 0.114016 5 4.0273E+09 2.152824 -0.003582 -99.000000 -99.000000 -6.911786 0.000000 0.000018 0.001888 0.018587 0.000E+00 max_dt rel_E_err 1.8165009022167982D-13 log_rel_run_E_err -10.3694755418450182 (age_target - star_age)/age_sigma 290 83.4221780546 reducing max timestep prior to age target 290 5.4224415735521221D+08 (age_target - star_age)/age_sigma 291 81.7884451911 reducing max timestep prior to age target 291 5.3162489374246836D+08 (age_target - star_age)/age_sigma 292 80.1873869849 reducing max timestep prior to age target 292 5.2121801540197897D+08 (age_target - star_age)/age_sigma 293 78.6183499428 reducing max timestep prior to age target 293 5.1101927462829924D+08 (age_target - star_age)/age_sigma 294 77.0806936416 reducing max timestep prior to age target 294 5.0102450867009306D+08 (age_target - star_age)/age_sigma 295 75.5737904663 reducing max timestep prior to age target 295 4.9122963803105116D+08 (age_target - star_age)/age_sigma 296 74.0970253546 reducing max timestep prior to age target 296 4.8163066480479002D+08 (age_target - star_age)/age_sigma 297 72.6497955451 reducing max timestep prior to age target 297 4.7222367104305410D+08 (age_target - star_age)/age_sigma 298 71.2315103318 reducing max timestep prior to age target 298 4.6300481715655279D+08 (age_target - star_age)/age_sigma 299 69.8415908227 reducing max timestep prior to age target 299 4.5397034034778166D+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 -15.954590 -99.000000 -6.914372 0.000000 0.000019 0.001889 0.018593 0.000E+00 max_dt rel_E_err 1.9554062209152664D-13 log_rel_run_E_err -10.3510913627038637 (age_target - star_age)/age_sigma 300 68.4794697039 reducing max timestep prior to age target 300 4.4511655307518578D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.1445910074 reducing max timestep prior to age target 301 4.3643984154804230D+08 (age_target - star_age)/age_sigma 302 65.8364098848 reducing max timestep prior to age target 302 4.2793666425144100D+08 (age_target - star_age)/age_sigma 303 64.5543923847 reducing max timestep prior to age target 303 4.1960355050077200D+08 (age_target - star_age)/age_sigma 304 63.2980152346 reducing max timestep prior to age target 304 4.1143709902511692D+08 (age_target - star_age)/age_sigma 305 62.0667656275 reducing max timestep prior to age target 305 4.0343397657897425D+08 (age_target - star_age)/age_sigma 306 60.8601410126 reducing max timestep prior to age target 306 3.9559091658175468D+08 (age_target - star_age)/age_sigma 307 59.6776488899 reducing max timestep prior to age target 307 3.8790471778447962D+08 (age_target - star_age)/age_sigma 308 58.5188066097 reducing max timestep prior to age target 308 3.8037224296314955D+08 (age_target - star_age)/age_sigma 309 57.3831411751 reducing max timestep prior to age target 309 3.7299041763824606D+08 310 7.191667 5714.905 0.002747 0.002747 1.000000 1.000000 0.370689 0.004929 0.241539 -1.526578 520 1 6.8594E+00 7.191667 0.010036 -42.799868 -1.619052 -99.000000 0.000000 0.610713 0.008064 0.015941 0.116013 5 4.2037E+09 2.166025 0.002803 -15.653560 -99.000000 -6.916491 0.000000 0.000019 0.001890 0.018598 0.000E+00 max_dt rel_E_err 1.7682566598620306D-13 log_rel_run_E_err -10.3333808720783118 (age_target - star_age)/age_sigma 310 56.2701890492 reducing max timestep prior to age target 310 3.6575622881984138D+08 (age_target - star_age)/age_sigma 311 55.1794959658 reducing max timestep prior to age target 311 3.5866672377780437D+08 (age_target - star_age)/age_sigma 312 54.1106167441 reducing max timestep prior to age target 312 3.5171900883660793D+08 (age_target - star_age)/age_sigma 313 53.0631151068 reducing max timestep prior to age target 313 3.4491024819423580D+08 (age_target - star_age)/age_sigma 314 52.0365635023 reducing max timestep prior to age target 314 3.3823766276471090D+08 (age_target - star_age)/age_sigma 315 51.0305429298 reducing max timestep prior to age target 315 3.3169852904377651D+08 (age_target - star_age)/age_sigma 316 50.0446427688 reducing max timestep prior to age target 316 3.2529017799726105D+08 (age_target - star_age)/age_sigma 317 49.0784606110 reducing max timestep prior to age target 317 3.1900999397167587D+08 (age_target - star_age)/age_sigma 318 48.1316020964 reducing max timestep prior to age target 318 3.1285541362660217D+08 (age_target - star_age)/age_sigma 319 47.2036807521 reducing max timestep prior to age target 319 3.0682392488843012D+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 -15.352530 -99.000000 -6.918225 0.000000 0.000019 0.001891 0.018602 0.000E+00 max_dt rel_E_err 1.8862289917809982D-13 log_rel_run_E_err -10.3166447387671401 (age_target - star_age)/age_sigma 320 46.2943178346 reducing max timestep prior to age target 320 3.0091306592502165D+08 (age_target - star_age)/age_sigma 321 45.4031421755 reducing max timestep prior to age target 321 2.9512042414088058D+08 (age_target - star_age)/age_sigma 322 44.5297900296 reducing max timestep prior to age target 322 2.8944363519242287D+08 (age_target - star_age)/age_sigma 324 42.8180198236 reducing max timestep prior to age target 324 2.7831712885344553D+08 (age_target - star_age)/age_sigma 325 41.9792524227 reducing max timestep prior to age target 325 2.7286514074734688D+08 (age_target - star_age)/age_sigma 326 41.1572603697 reducing max timestep prior to age target 326 2.6752219240336990D+08 (age_target - star_age)/age_sigma 327 40.3517081579 reducing max timestep prior to age target 327 2.6228610302627182D+08 (age_target - star_age)/age_sigma 328 39.5622669903 reducing max timestep prior to age target 328 2.5715473543671703D+08 (age_target - star_age)/age_sigma 329 38.7886146460 reducing max timestep prior to age target 329 2.5212599519895267D+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 -15.653560 -99.000000 -6.919663 0.000000 0.000019 0.001891 0.018605 0.000E+00 max_dt rel_E_err 1.6973634364661083D-13 log_rel_run_E_err -10.3002719128217084 (age_target - star_age)/age_sigma 330 38.0304353486 reducing max timestep prior to age target 330 2.4719782976594448D+08 (age_target - star_age)/age_sigma 331 37.2874196372 reducing max timestep prior to age target 331 2.4236822764159584D+08 (age_target - star_age)/age_sigma 332 36.5592642400 reducing max timestep prior to age target 332 2.3763521755973339D+08 (age_target - star_age)/age_sigma 333 35.8456719507 reducing max timestep prior to age target 333 2.3299686767950916D+08 (age_target - star_age)/age_sigma 334 35.1463515072 reducing max timestep prior to age target 334 2.2845128479688931D+08 (age_target - star_age)/age_sigma 335 34.4610174726 reducing max timestep prior to age target 335 2.2399661357192135D+08 (age_target - star_age)/age_sigma 336 33.7893901187 reducing max timestep prior to age target 336 2.1963103577145290D+08 (age_target - star_age)/age_sigma 337 33.1311953118 reducing max timestep prior to age target 337 2.1535276952699375D+08 (age_target - star_age)/age_sigma 338 32.4861644011 reducing max timestep prior to age target 338 2.1116006860742378D+08 (age_target - star_age)/age_sigma 339 31.8540341087 reducing max timestep prior to age target 339 2.0705122170624542D+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 1.9784180376989084D-13 log_rel_run_E_err -10.2842660696188659 (age_target - star_age)/age_sigma 340 31.2345464220 reducing max timestep prior to age target 340 2.0302455174309158D+08 (age_target - star_age)/age_sigma 341 30.6274484891 reducing max timestep prior to age target 341 1.9907841517919922D+08 (age_target - star_age)/age_sigma 342 30.0324925149 reducing max timestep prior to age target 342 1.9521120134658527D+08 (age_target - star_age)/age_sigma 343 29.4494356601 reducing max timestep prior to age target 343 1.9142133179062366D+08 (age_target - star_age)/age_sigma 344 28.8780399424 reducing max timestep prior to age target 344 1.8770725962578106D+08 (age_target - star_age)/age_sigma 345 28.3180721391 reducing max timestep prior to age target 345 1.8406746890423584D+08 (age_target - star_age)/age_sigma 346 27.7693036919 reducing max timestep prior to age target 346 1.8050047399712181D+08 (age_target - star_age)/age_sigma 347 27.2315106136 reducing max timestep prior to age target 347 1.7700481898814869D+08 (age_target - star_age)/age_sigma 348 26.7044733968 reducing max timestep prior to age target 348 1.7357907707935619D+08 (age_target - star_age)/age_sigma 349 26.1879769244 reducing max timestep prior to age target 349 1.7022185000873947D+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 1.7792049916576263D-13 log_rel_run_E_err -10.2691715623918576 (age_target - star_age)/age_sigma 350 25.6818103815 reducing max timestep prior to age target 350 1.6693176747953415D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.1857671694 reducing max timestep prior to age target 351 1.6370748660091400D+08 (age_target - star_age)/age_sigma 352 24.6996448215 reducing max timestep prior to age target 352 1.6054769133986568D+08 (age_target - star_age)/age_sigma 353 24.2232449206 reducing max timestep prior to age target 353 1.5745109198403931D+08 (age_target - star_age)/age_sigma 354 23.7563730177 reducing max timestep prior to age target 354 1.5441642461532879D+08 (age_target - star_age)/age_sigma 355 23.2988385529 reducing max timestep prior to age target 355 1.5144245059399223D+08 (age_target - star_age)/age_sigma 356 22.8504547774 reducing max timestep prior to age target 356 1.4852795605308247D+08 (age_target - star_age)/age_sigma 358 21.9716225774 reducing max timestep prior to age target 358 1.4281554675289917D+08 (age_target - star_age)/age_sigma 359 21.5409947994 reducing max timestep prior to age target 359 1.4001646619580936D+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 1.7810646190775995D-13 log_rel_run_E_err -10.2547567624679719 (age_target - star_age)/age_sigma 360 21.1189795769 reducing max timestep prior to age target 360 1.3727336724986172D+08 (age_target - star_age)/age_sigma 361 20.7054046589 reducing max timestep prior to age target 361 1.3458513028283310D+08 (age_target - star_age)/age_sigma 362 20.3001012393 reducing max timestep prior to age target 362 1.3195065805514431D+08 (age_target - star_age)/age_sigma 363 19.9029038880 reducing max timestep prior to age target 363 1.2936887527200985D+08 (age_target - star_age)/age_sigma 364 19.5136504838 reducing max timestep prior to age target 364 1.2683872814453793D+08 (age_target - star_age)/age_sigma 365 19.1321821476 reducing max timestep prior to age target 365 1.2435918395961475D+08 (age_target - star_age)/age_sigma 366 18.7583431782 reducing max timestep prior to age target 366 1.2192923065839100D+08 (age_target - star_age)/age_sigma 367 18.3919809882 reducing max timestep prior to age target 367 1.1954787642319202D+08 (age_target - star_age)/age_sigma 368 18.0329460420 reducing max timestep prior to age target 368 1.1721414927269650D+08 (age_target - star_age)/age_sigma 369 17.6810917946 reducing max timestep prior to age target 369 1.1492709666521072D+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 1.8992954688307763D-13 log_rel_run_E_err -10.2407372495068039 (age_target - star_age)/age_sigma 370 17.3362746323 reducing max timestep prior to age target 370 1.1268578510987473D+08 (age_target - star_age)/age_sigma 371 16.9983538132 reducing max timestep prior to age target 371 1.1048929978564548D+08 (age_target - star_age)/age_sigma 372 16.6671914104 reducing max timestep prior to age target 372 1.0833674416790104D+08 (age_target - star_age)/age_sigma 373 16.3426522558 reducing max timestep prior to age target 373 1.0622723966251087D+08 (age_target - star_age)/age_sigma 374 16.0246038842 reducing max timestep prior to age target 374 1.0415992524722958D+08 (age_target - star_age)/age_sigma 375 15.7129164800 reducing max timestep prior to age target 375 1.0213395712025261D+08 (age_target - star_age)/age_sigma 376 15.4074628240 reducing max timestep prior to age target 376 1.0014850835581589D+08 (age_target - star_age)/age_sigma 377 15.1081182410 reducing max timestep prior to age target 377 9.8202768566668510D+07 (age_target - star_age)/age_sigma 378 14.8147605497 reducing max timestep prior to age target 378 9.6295943573303223D+07 (age_target - star_age)/age_sigma 379 14.5272700123 reducing max timestep prior to age target 379 9.4427255079805374D+07 380 7.196951 5719.223 0.012767 0.012767 1.000000 1.000000 0.346042 0.005031 0.239770 -1.513445 519 1 6.2628E+00 7.196951 0.014388 -42.462837 -1.601806 -99.000000 0.000000 0.635345 0.007967 0.015835 0.119325 5 4.4769E+09 2.187094 0.012818 -15.352530 -99.000000 -6.923813 0.000000 0.000020 0.001893 0.018613 0.000E+00 max_dt rel_E_err 1.8229791986092936D-13 log_rel_run_E_err -10.2271466148739574 (age_target - star_age)/age_sigma 380 14.2455292856 reducing max timestep prior to age target 380 9.2595940356177330D+07 (age_target - star_age)/age_sigma 381 13.9694233734 reducing max timestep prior to age target 381 9.0801251927022934D+07 (age_target - star_age)/age_sigma 382 13.6988395795 reducing max timestep prior to age target 382 8.9042457266450882D+07 (age_target - star_age)/age_sigma 383 13.4336674614 reducing max timestep prior to age target 383 8.7318838499090195D+07 (age_target - star_age)/age_sigma 384 13.1737987857 reducing max timestep prior to age target 384 8.5629692107076645D+07 (age_target - star_age)/age_sigma 385 12.9191274835 reducing max timestep prior to age target 385 8.3974328642903328D+07 (age_target - star_age)/age_sigma 386 12.6695496074 reducing max timestep prior to age target 386 8.2352072448013306D+07 (age_target - star_age)/age_sigma 387 12.4249632888 reducing max timestep prior to age target 387 8.0762261377021790D+07 (age_target - star_age)/age_sigma 388 12.1852686965 reducing max timestep prior to age target 388 7.9204246527448654D+07 (age_target - star_age)/age_sigma 389 11.9503679961 reducing max timestep prior to age target 389 7.7677391974867821D+07 390 7.197275 5719.470 0.013374 0.013374 1.000000 1.000000 0.344548 0.005038 0.239665 -1.512636 519 1 6.1750E+00 7.197275 0.014654 -42.442279 -1.600738 -99.000000 0.000000 0.636838 0.007960 0.015828 0.119533 5 4.4933E+09 2.188386 0.013425 -15.653560 -99.000000 -6.924255 0.000000 0.000020 0.001893 0.018614 0.000E+00 max_dt rel_E_err 1.8143780662887644D-13 log_rel_run_E_err -10.2137331919171217 (age_target - star_age)/age_sigma 390 11.7201653097 reducing max timestep prior to age target 390 7.6181074513339043D+07 (age_target - star_age)/age_sigma 391 11.4945666771 reducing max timestep prior to age target 391 7.4714683401040077D+07 (age_target - star_age)/age_sigma 392 11.2734800171 reducing max timestep prior to age target 392 7.3277620110987663D+07 (age_target - star_age)/age_sigma 394 10.8401501635 reducing max timestep prior to age target 394 7.0460976062485695D+07 (age_target - star_age)/age_sigma 395 10.6278185352 reducing max timestep prior to age target 395 6.9080820478718758D+07 (age_target - star_age)/age_sigma 396 10.4197335395 reducing max timestep prior to age target 396 6.7728268006628036D+07 (age_target - star_age)/age_sigma 397 10.2158102437 reducing max timestep prior to age target 397 6.6402766583978653D+07 (age_target - star_age)/age_sigma 398 10.0159654138 reducing max timestep prior to age target 398 6.5103775189782143D+07 (age_target - star_age)/age_sigma 399 9.8201174805 reducing max timestep prior to age target 399 6.3830763623470306D+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 4 4.5069E+09 2.189460 0.013929 -14.954590 -99.000000 -6.924621 0.000000 0.000020 0.001894 0.018614 0.000E+00 max_dt rel_E_err 1.9284453186658058D-13 log_rel_run_E_err -10.2007016990276131 (age_target - star_age)/age_sigma 400 9.6281865059 reducing max timestep prior to age target 400 6.2583212288483620D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4400941508 reducing max timestep prior to age target 401 6.1360611980196953D+07 (age_target - star_age)/age_sigma 402 9.2557636428 reducing max timestep prior to age target 402 6.0162463678076744D+07 (age_target - star_age)/age_sigma 403 9.0751197449 reducing max timestep prior to age target 403 5.8988278341998100D+07 (age_target - star_age)/age_sigma 404 8.8980887250 reducing max timestep prior to age target 404 5.7837576712641716D+07 (age_target - star_age)/age_sigma 405 8.7245983255 reducing max timestep prior to age target 405 5.6709889115872383D+07 (age_target - star_age)/age_sigma 406 8.5545777340 reducing max timestep prior to age target 406 5.5604755271038055D+07 (age_target - star_age)/age_sigma 407 8.3879575543 reducing max timestep prior to age target 407 5.4521724103099823D+07 (age_target - star_age)/age_sigma 408 8.2246697782 reducing max timestep prior to age target 408 5.3460353558521271D+07 (age_target - star_age)/age_sigma 409 8.0646477577 reducing max timestep prior to age target 409 5.2420210424834251D+07 410 7.197766 5719.840 0.014293 0.014293 1.000000 1.000000 0.342291 0.005048 0.239507 -1.511410 519 1 6.0083E+00 7.197766 0.015057 -42.411176 -1.599118 -99.000000 0.000000 0.639094 0.007950 0.015819 0.119850 3 4.5181E+09 2.190344 0.014343 -99.000000 -99.000000 -6.924922 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt rel_E_err 1.9516019218951578D-13 log_rel_run_E_err -10.1881851984218805 (age_target - star_age)/age_sigma 410 7.9078261775 reducing max timestep prior to age target 410 5.1400870153820992D+07 (age_target - star_age)/age_sigma 411 7.7541410290 reducing max timestep prior to age target 411 5.0401916688227654D+07 (age_target - star_age)/age_sigma 412 7.6035295834 reducing max timestep prior to age target 412 4.9422942291946411D+07 (age_target - star_age)/age_sigma 413 7.4559303667 reducing max timestep prior to age target 413 4.8463547383590698D+07 (age_target - star_age)/age_sigma 414 7.3112831344 reducing max timestep prior to age target 414 4.7523340373402596D+07 (age_target - star_age)/age_sigma 415 7.1695288467 reducing max timestep prior to age target 415 4.6601937503417969D+07 (age_target - star_age)/age_sigma 416 7.0306096447 reducing max timestep prior to age target 416 4.5698962690833092D+07 (age_target - star_age)/age_sigma 417 6.8944688268 reducing max timestep prior to age target 417 4.4814047374499321D+07 (age_target - star_age)/age_sigma 418 6.7610508253 reducing max timestep prior to age target 418 4.3946830364492416D+07 (age_target - star_age)/age_sigma 419 6.6303011838 reducing max timestep prior to age target 419 4.3096957694685936D+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 1.7802579148183178D-13 log_rel_run_E_err -10.1762656923327182 (age_target - star_age)/age_sigma 420 6.5021665351 reducing max timestep prior to age target 420 4.2264082478275299D+07 (age_target - star_age)/age_sigma 421 6.3765945794 reducing max timestep prior to age target 421 4.1447864766193390D+07 (age_target - star_age)/age_sigma 422 6.2535340628 reducing max timestep prior to age target 422 4.0647971408352852D+07 (age_target - star_age)/age_sigma 423 6.1329347566 reducing max timestep prior to age target 423 3.9864075917669296D+07 (age_target - star_age)/age_sigma 424 6.0147474364 reducing max timestep prior to age target 424 3.9095858336799622D+07 (age_target - star_age)/age_sigma 425 5.8989238627 reducing max timestep prior to age target 425 3.8343005107545853D+07 (age_target - star_age)/age_sigma 426 5.7854167604 reducing max timestep prior to age target 426 3.7605208942878723D+07 (age_target - star_age)/age_sigma 428 5.5629428400 reducing max timestep prior to age target 428 3.6159128460129738D+07 (age_target - star_age)/age_sigma 429 5.4539306190 reducing max timestep prior to age target 429 3.5450549023583412D+07 430 7.198097 5720.086 0.014910 0.014910 1.000000 1.000000 0.340773 0.005055 0.239401 -1.510583 519 1 5.8416E+00 7.198097 0.015328 -42.390238 -1.598026 -99.000000 0.000000 0.640612 0.007943 0.015813 0.120064 3 4.5347E+09 2.191663 0.014960 -15.352530 -99.000000 -6.925370 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.8330512138782739D-13 log_rel_run_E_err -10.1647615069826465 (age_target - star_age)/age_sigma 430 5.3470986424 reducing max timestep prior to age target 430 3.4756141175766945D+07 (age_target - star_age)/age_sigma 431 5.2424033054 reducing max timestep prior to age target 431 3.4075621484907150D+07 (age_target - star_age)/age_sigma 432 5.1398018751 reducing max timestep prior to age target 432 3.3408712187864304D+07 (age_target - star_age)/age_sigma 433 5.0392524733 reducing max timestep prior to age target 433 3.2755141076763153D+07 (age_target - star_age)/age_sigma 434 4.9404436013 reducing max timestep prior to age target 434 3.2112883408591270D+07 (age_target - star_age)/age_sigma 435 4.8416347293 reducing max timestep prior to age target 435 3.1470625740419388D+07 (age_target - star_age)/age_sigma 436 4.7428258573 reducing max timestep prior to age target 436 3.0828368072247505D+07 (age_target - star_age)/age_sigma 437 4.6440169852 reducing max timestep prior to age target 437 3.0186110404075623D+07 (age_target - star_age)/age_sigma 438 4.5452081132 reducing max timestep prior to age target 438 2.9543852735903740D+07 (age_target - star_age)/age_sigma 439 4.4463992412 reducing max timestep prior to age target 439 2.8901595067731857D+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 1.9175625815110916D-13 log_rel_run_E_err -10.1532208971701525 (age_target - star_age)/age_sigma 440 4.3475903692 reducing max timestep prior to age target 440 2.8259337399559021D+07 (age_target - star_age)/age_sigma 441 4.2487814971 reducing max timestep prior to age target 441 2.7617079731387138D+07 (age_target - star_age)/age_sigma 442 4.1499726251 reducing max timestep prior to age target 442 2.6974822063215256D+07 (age_target - star_age)/age_sigma 443 4.0511637531 reducing max timestep prior to age target 443 2.6332564395043373D+07 (age_target - star_age)/age_sigma 444 3.9523548811 reducing max timestep prior to age target 444 2.5690306726871490D+07 (age_target - star_age)/age_sigma 445 3.8535460090 reducing max timestep prior to age target 445 2.5048049058699608D+07 (age_target - star_age)/age_sigma 446 3.7547371370 reducing max timestep prior to age target 446 2.4405791390527725D+07 (age_target - star_age)/age_sigma 447 3.6559282650 reducing max timestep prior to age target 447 2.3763533722355843D+07 (age_target - star_age)/age_sigma 448 3.5571193930 reducing max timestep prior to age target 448 2.3121276054183960D+07 (age_target - star_age)/age_sigma 449 3.4583105209 reducing max timestep prior to age target 449 2.2479018386012077D+07 450 7.198354 5720.277 0.015390 0.015390 1.000000 1.000000 0.339593 0.005061 0.239319 -1.509940 519 1 5.8077E+00 7.198354 0.015539 -42.373960 -1.597175 -99.000000 0.000000 0.641791 0.007937 0.015808 0.120232 3 4.5477E+09 2.192689 0.015440 -99.000000 -99.000000 -6.925718 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.8709942923760670D-13 log_rel_run_E_err -10.1421132450893197 (age_target - star_age)/age_sigma 450 3.3595016489 reducing max timestep prior to age target 450 2.1836760717839241D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2606927769 reducing max timestep prior to age target 451 2.1194503049667358D+07 (age_target - star_age)/age_sigma 452 3.1618839048 reducing max timestep prior to age target 452 2.0552245381495476D+07 (age_target - star_age)/age_sigma 453 3.0630750328 reducing max timestep prior to age target 453 1.9909987713323593D+07 (age_target - star_age)/age_sigma 454 2.9642661608 reducing max timestep prior to age target 454 1.9267730045151711D+07 (age_target - star_age)/age_sigma 455 2.8654572888 reducing max timestep prior to age target 455 1.8625472376979828D+07 (age_target - star_age)/age_sigma 456 2.7666484167 remaining steps and years until age target 456 28 1.7983214708808899D+07 (age_target - star_age)/age_sigma 457 2.6678395447 reducing max timestep prior to age target 457 1.7340957040637016D+07 (age_target - star_age)/age_sigma 458 2.5690306727 reducing max timestep prior to age target 458 1.6698699372465134D+07 (age_target - star_age)/age_sigma 459 2.4702218007 reducing max timestep prior to age target 459 1.6056441704293251D+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 1.7736916016936084D-13 log_rel_run_E_err -10.1311230236801322 (age_target - star_age)/age_sigma 460 2.3714129286 reducing max timestep prior to age target 460 1.5414184036120415D+07 (age_target - star_age)/age_sigma 461 2.2726040566 remaining steps and years until age target 461 23 1.4771926367949486D+07 (age_target - star_age)/age_sigma 462 2.1737951846 reducing max timestep prior to age target 462 1.4129668699777603D+07 (age_target - star_age)/age_sigma 463 2.0749863126 remaining steps and years until age target 463 21 1.3487411031606674D+07 (age_target - star_age)/age_sigma 464 1.9761774405 reducing max timestep prior to age target 464 1.2845153363434792D+07 (age_target - star_age)/age_sigma 465 1.8773685685 reducing max timestep prior to age target 465 1.2202895695262909D+07 (age_target - star_age)/age_sigma 466 1.7785596965 reducing max timestep prior to age target 466 1.1560638027090073D+07 (age_target - star_age)/age_sigma 467 1.6797508244 remaining steps and years until age target 467 17 1.0918380358919144D+07 (age_target - star_age)/age_sigma 468 1.5809419524 reducing max timestep prior to age target 468 1.0276122690747261D+07 (age_target - star_age)/age_sigma 469 1.4821330804 remaining steps and years until age target 469 15 9.6338650225763321D+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 1.7546125141571094D-13 log_rel_run_E_err -10.1204919118178527 (age_target - star_age)/age_sigma 470 1.3833242084 reducing max timestep prior to age target 470 8.9916073544044495D+06 (age_target - star_age)/age_sigma 471 1.2845153363 reducing max timestep prior to age target 471 8.3493496862325668D+06 (age_target - star_age)/age_sigma 472 1.1857064643 reducing max timestep prior to age target 472 7.7070920180597305D+06 (age_target - star_age)/age_sigma 473 1.0868975923 remaining steps and years until age target 473 11 7.0648343498888016D+06 (age_target - star_age)/age_sigma 474 0.9880887203 reducing max timestep prior to age target 474 6.4225766817169189D+06 (age_target - star_age)/age_sigma 475 0.8892798482 remaining steps and years until age target 475 9 5.7803190135459900D+06 (age_target - star_age)/age_sigma 476 0.7904709762 reducing max timestep prior to age target 476 5.1380613453741074D+06 (age_target - star_age)/age_sigma 477 0.6916621042 reducing max timestep prior to age target 477 4.4958036772022247D+06 (age_target - star_age)/age_sigma 478 0.5928532322 reducing max timestep prior to age target 478 3.8535460090293884D+06 (age_target - star_age)/age_sigma 479 0.4940443601 remaining steps and years until age target 479 5 3.2112883408584595D+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 1.7968385708394712D-13 log_rel_run_E_err -10.1102727932816165 (age_target - star_age)/age_sigma 480 0.3952354881 reducing max timestep prior to age target 480 2.5690306726865768D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2964266161 remaining steps and years until age target 481 3 1.9267730045156479D+06 (age_target - star_age)/age_sigma 482 0.1976177441 remaining steps and years until age target 482 2 1.2845153363437653D+06 (age_target - star_age)/age_sigma 483 0.0988088720 remaining steps and years until age target 483 1 6.4225766817283630D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334180.49 0.00 334180.49 save outputs/best.mod 484 save outputs/best.profile for model 484 save LOGS/profile11.data for model 484 have reached age_target save LOGS/profile11.data for model 484 solver retries 7 varcontrol dt limit 244 max increase dt limit 3215 lgTeff dt limit 1 lgRho_cntr dt limit 110 model saved to final.mod save photos/x484 for model 484 chi^2 combined, chi^2 seismo, chi^2 spectro 484 334180.49 0.00 334180.49 have reached age_target runtime (minutes), retries, steps 2.84 1 484 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 484 7.198791 5720.598 0.016202 0.016202 1.000000 1.000000 0.337598 0.005070 0.239180 -1.508848 519 1 5.8077E+00 7.198791 0.015896 -42.346396 -1.595732 -99.000000 0.000000 0.643786 0.007928 0.015799 0.120516 3 4.5695E+09 2.194428 0.016251 -15.653560 -99.000000 -6.926307 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.8348673390625064D-13 log_rel_run_E_err -10.1062352832705962 Teff 5720.5979558232 radius 1.0372797593 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1389.7804563372 M_H -0.0339365458 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 1151.6891399449 log_R 0.0158959035 delta_nu 134.0243181617 nu_max 2873.5532959087 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 334180.4898654274 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 "9dea5ab" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251009" "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 3.3333875998557935E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615172900E+03 1.0010042019471497E+00 3.9078811634217052E-03 4.3590053489322983E-04 1.4131272100404678E+02 3.1134409186022872E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557935E+05 0 0 0 0 0 0 0 4 3.3337679267851578E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620724863E+03 1.0114129282000397E+00 3.5086385976877904E-04 4.9285006214752139E-03 1.3913658568070426E+02 3.0234851123029280E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851578E+05 0 0 0 0 0 0 0 1 3.3351283960191562E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383755896E+03 1.0231407131232713E+00 -1.7395981987816708E-03 9.9353665865147631E-03 1.3680762272707830E+02 2.9640776267841038E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191562E+05 0 0 0 0 0 0 0 3 3.3365606602478313E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078364049E+03 1.0099970103005844E+00 2.9466215559506938E-02 4.3200882263252959E-03 1.3947582155337045E+02 3.0536692076816480E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602478313E+05 0 0 0 0 0 0 0 6 3.3418048986542737E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558232011E+03 1.0372797593385101E+00 -3.3936545786878013E-02 1.5895903497250979E-02 1.3402431816166543E+02 2.8735532959087386E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986542737E+05 0 0 0 0 0 0 0 2 3.3468070564326667E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399265890E+03 1.0622782375811581E+00 -1.2788199778892683E-02 2.6238284372221875E-02 1.2938435093838254E+02 2.7294282123468802E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326667E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 1.7749999999999999D+00 -4.5000000000000001D-01 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 10 5.954491 4639.471 -12.856135 -12.856135 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395708 410 0 -5.0000E+00 5.954371 0.953837 -99.000000 -14.254000 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 1.0000E-04 -1.867396 1.528242 -99.000000 -99.000000 -7.746582 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt solver rejected trial model s% model_number 12 s% solver_call_number 12 nz 409 s% num_retries 0 dt 3.1557600000000002D+02 log dt/secyer -4.9999999999999991D+00 retry: max residual jumped -- give up in solver 12 20 5.954492 4508.650 -12.856143 -12.856143 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1 -5.0000E+00 5.954372 0.953665 -99.000000 -14.254009 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 1.9000E-04 -1.867396 1.478209 -99.000000 -99.000000 -7.711974 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954493 4437.392 -12.856146 -12.856146 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1 -5.0000E+00 5.954373 0.953547 -99.000000 -14.254012 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 2.9000E-04 -1.867395 1.450299 -99.000000 -99.000000 -7.688853 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954493 4395.006 -12.856149 -12.856149 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1 -5.0000E+00 5.954373 0.953466 -99.000000 -14.254015 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 2 3.9000E-04 -1.867395 1.433464 -99.000000 -99.000000 -7.673886 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954493 4365.734 -12.856150 -12.856150 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1 -5.0000E+00 5.954373 0.953404 -99.000000 -14.254016 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 2 4.9000E-04 -1.867394 1.421732 -28.597850 -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 4.1079072636913172D-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 2.0551266387369685D-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 -27.694760 -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 4.6175050451073649D-03 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1127416933281451D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.603638 4258.237 -5.093765 -5.093765 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -4.2874E+00 6.603638 0.282481 -99.000000 -6.491527 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 10 2.5959E-04 0.094908 0.036574 -99.000000 -99.000000 -6.892820 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5536902397217522D-13 log_rel_run_E_err -11.5953625665634021 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 2.5497855139367408D-13 log_rel_run_E_err -11.2920841045942524 30 6.603639 4272.706 -5.093770 -5.093770 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -2.7037E+00 6.603639 0.282503 -99.000000 -6.491531 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 5 1.1819E-02 0.094910 0.042512 -20.771070 -99.000000 -6.899678 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6434989129957091D-13 log_rel_run_E_err -11.1125786375668785 40 6.603640 4272.185 -5.093769 -5.093769 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -1.9119E+00 6.603640 0.282505 -99.000000 -6.491530 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 4 7.3439E-02 0.094911 0.042304 -99.000000 -99.000000 -6.899436 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7235457512726986D-13 log_rel_run_E_err -10.9829242261049025 50 6.603641 4270.681 -5.093769 -5.093769 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0 -1.1201E+00 6.603641 0.282494 -99.000000 -6.491530 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 5 4.5497E-01 0.094912 0.041670 -99.000000 -99.000000 -6.898716 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7274503097960396D-13 log_rel_run_E_err -10.8852225783853775 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.603641 4270.341 -5.093767 -5.093767 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106723 455 0 -3.2831E-01 6.603641 0.282490 -99.000000 -6.491529 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 2 2.8173E+00 0.094912 0.041525 -20.771070 -99.000000 -6.898552 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5849268760066444D-13 log_rel_run_E_err -10.8058451619877829 70 6.603642 4270.341 -5.093758 -5.093758 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106719 455 0 4.6351E-01 6.603642 0.282489 -99.000000 -6.491519 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 2 1.7444E+01 0.094916 0.041522 -20.470040 -99.000000 -6.898550 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7411093985704269D-13 log_rel_run_E_err -10.7384944481242464 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 2.4228400938837029D-13 log_rel_run_E_err -10.6820729552324902 90 6.603680 4270.304 -5.093334 -5.093334 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106537 455 0 2.0471E+00 6.603680 0.282445 -99.000000 -6.491095 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071568 2 6.6878E+02 0.095052 0.041420 -20.169010 -99.000000 -6.898480 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4538573130534995D-13 log_rel_run_E_err -10.6308153219279955 __________________________________________________________________________________________________________________________________________________ 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 2.5734632634542568D-13 log_rel_run_E_err -10.5858849777895454 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 2.5880353341445983D-13 log_rel_run_E_err -10.5458893212794020 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 2.5132642173595414D-13 log_rel_run_E_err -10.4570124361589016 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 2.3503851269956704D-13 log_rel_run_E_err -10.2165265986679863 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 2.4814769582908463D-13 log_rel_run_E_err -10.3186334612519470 150 6.850974 4420.780 -2.405050 -2.405050 1.000000 1.000000 0.711260 0.000946 0.269994 -2.304356 475 0 5.9705E+00 6.850974 0.048399 -99.000000 -3.801968 -99.000000 0.000000 0.270014 0.008783 0.018725 0.097270 4 1.4207E+07 1.236697 -0.366512 -99.000000 -99.000000 -6.683620 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.1723084590667163D-13 log_rel_run_E_err -10.4290592282632737 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.022221 5230.783 -1.002648 -1.002648 1.000000 1.000000 0.711132 0.000950 0.269974 -1.564994 494 0 6.0680E+00 7.022221 0.026297 -53.174313 -2.413170 -99.000000 0.000000 0.270140 0.008783 0.018724 0.101058 5 2.5986E+07 1.800086 -0.118445 -16.857680 -99.000000 -6.831622 0.000000 0.003224 0.001952 0.018728 0.000E+00 lgRho_cntr rel_E_err 1.6364896430586298D-13 log_rel_run_E_err -10.5663223112191993 (age_target - star_age)/age_sigma 169 694.5561817886 reducing max timestep prior to age target 169 4.5146151816256762D+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 1.8689627866199147D-13 log_rel_run_E_err -10.6113493804162431 (age_target - star_age)/age_sigma 176 680.3396089169 reducing max timestep prior to age target 176 4.4222074579596691D+09 (age_target - star_age)/age_sigma 179 665.9833853433 reducing max timestep prior to age target 179 4.3288920047315598D+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 1.7193960051090986D-13 log_rel_run_E_err -10.5823859569844316 (age_target - star_age)/age_sigma 181 650.9898085474 reducing max timestep prior to age target 181 4.2314337555579391D+09 (age_target - star_age)/age_sigma 183 629.3990579612 reducing max timestep prior to age target 183 4.0910938767479253D+09 (age_target - star_age)/age_sigma 184 617.0801141035 reducing max timestep prior to age target 184 4.0110207416729460D+09 (age_target - star_age)/age_sigma 185 605.0075491230 reducing max timestep prior to age target 185 3.9325490692994657D+09 (age_target - star_age)/age_sigma 186 593.1764354421 reducing max timestep prior to age target 186 3.8556468303734555D+09 (age_target - star_age)/age_sigma 187 581.5819440348 reducing max timestep prior to age target 187 3.7802826362259655D+09 (age_target - star_age)/age_sigma 188 570.2193424556 reducing max timestep prior to age target 188 3.7064257259614248D+09 (age_target - star_age)/age_sigma 189 559.0839929080 reducing max timestep prior to age target 189 3.6340459539021754D+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 -15.255620 -99.000000 -6.825176 0.000000 0.000014 0.001966 0.019398 0.000E+00 max_dt rel_E_err 1.7396698509997796D-13 log_rel_run_E_err -10.5537322586203022 (age_target - star_age)/age_sigma 190 548.1713503514 reducing max timestep prior to age target 190 3.5631137772841105D+09 (age_target - star_age)/age_sigma 191 537.4769606459 reducing max timestep prior to age target 191 3.4936002441984072D+09 (age_target - star_age)/age_sigma 192 526.9964587345 reducing max timestep prior to age target 192 3.4254769817744184D+09 (age_target - star_age)/age_sigma 193 516.7255668614 reducing max timestep prior to age target 193 3.3587161845989089D+09 (age_target - star_age)/age_sigma 194 506.6600928257 reducing max timestep prior to age target 194 3.2932906033669100D+09 (age_target - star_age)/age_sigma 195 496.7959282707 reducing max timestep prior to age target 195 3.2291735337595506D+09 (age_target - star_age)/age_sigma 196 487.1290470068 reducing max timestep prior to age target 196 3.1663388055443382D+09 (age_target - star_age)/age_sigma 197 477.6555033682 reducing max timestep prior to age target 197 3.1047607718934307D+09 (age_target - star_age)/age_sigma 198 468.3714306024 reducing max timestep prior to age target 198 3.0444142989155412D+09 (age_target - star_age)/age_sigma 199 459.2730392919 reducing max timestep prior to age target 199 2.9852747553972092D+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 -99.000000 -99.000000 -6.837011 0.000000 0.000015 0.001974 0.019484 0.000E+00 max_dt rel_E_err 1.8506809771937874D-13 log_rel_run_E_err -10.5263634418094973 (age_target - star_age)/age_sigma 200 450.3566158076 reducing max timestep prior to age target 200 2.9273180027492437D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.6185207930 reducing max timestep prior to age target 201 2.8705203851542377D+09 (age_target - star_age)/age_sigma 202 433.0551876786 reducing max timestep prior to age target 202 2.8148587199111323D+09 (age_target - star_age)/age_sigma 203 424.6631212266 reducing max timestep prior to age target 203 2.7603102879728889D+09 (age_target - star_age)/age_sigma 204 416.4388961036 reducing max timestep prior to age target 204 2.7068528246734099D+09 (age_target - star_age)/age_sigma 205 408.3791554831 reducing max timestep prior to age target 205 2.6544645106399207D+09 (age_target - star_age)/age_sigma 206 400.4806096749 reducing max timestep prior to age target 206 2.6031239628871012D+09 (age_target - star_age)/age_sigma 207 392.7400347830 reducing max timestep prior to age target 207 2.5528102260893383D+09 (age_target - star_age)/age_sigma 208 385.1542713889 reducing max timestep prior to age target 208 2.5035027640275307D+09 (age_target - star_age)/age_sigma 209 377.7202232626 reducing max timestep prior to age target 209 2.4551814512069588D+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 -15.653560 -99.000000 -6.847136 0.000000 0.000016 0.001981 0.019551 0.000E+00 max_dt rel_E_err 1.8842405947564355D-13 log_rel_run_E_err -10.5007137188629169 (age_target - star_age)/age_sigma 210 370.4348560989 reducing max timestep prior to age target 210 2.4078265646427984D+09 (age_target - star_age)/age_sigma 211 363.2951962784 reducing max timestep prior to age target 211 2.3614187758099213D+09 (age_target - star_age)/age_sigma 212 356.2983296544 reducing max timestep prior to age target 212 2.3159391427537022D+09 (age_target - star_age)/age_sigma 213 349.4414003629 reducing max timestep prior to age target 213 2.2713691023586068D+09 (age_target - star_age)/age_sigma 215 336.0018189514 reducing max timestep prior to age target 215 2.1840118231842208D+09 (age_target - star_age)/age_sigma 216 329.4164240598 reducing max timestep prior to age target 216 2.1412067563887715D+09 (age_target - star_age)/age_sigma 217 322.9627370660 reducing max timestep prior to age target 217 2.0992577909292316D+09 (age_target - star_age)/age_sigma 218 316.6381238121 reducing max timestep prior to age target 218 2.0581478047788820D+09 (age_target - star_age)/age_sigma 219 310.4400028233 reducing max timestep prior to age target 219 2.0178600183515396D+09 220 7.159911 5573.060 -0.076385 -0.076385 1.000000 1.000000 0.517430 0.004871 0.252519 -1.601458 512 0 7.5964E+00 7.159911 -0.007690 -44.890505 -1.729536 -99.000000 0.000000 0.462966 0.008844 0.017631 0.100655 10 2.5911E+09 2.044059 -0.076312 -99.000000 -99.000000 -6.855837 0.000000 0.000016 0.001987 0.019604 0.000E+00 max_dt rel_E_err 1.7677515244651460D-13 log_rel_run_E_err -10.4769294007939564 (age_target - star_age)/age_sigma 220 304.3658442543 reducing max timestep prior to age target 220 1.9783779876527438D+09 (age_target - star_age)/age_sigma 221 298.4131688566 reducing max timestep prior to age target 221 1.9396855975679240D+09 (age_target - star_age)/age_sigma 222 292.5795469669 reducing max timestep prior to age target 222 1.9017670552848010D+09 (age_target - star_age)/age_sigma 223 286.8625975150 reducing max timestep prior to age target 223 1.8646068838473401D+09 (age_target - star_age)/age_sigma 224 281.2599870521 reducing max timestep prior to age target 224 1.8281899158386288D+09 (age_target - star_age)/age_sigma 225 275.7694287985 reducing max timestep prior to age target 225 1.7925012871900911D+09 (age_target - star_age)/age_sigma 226 270.3886817099 reducing max timestep prior to age target 226 1.7575264311145244D+09 (age_target - star_age)/age_sigma 227 265.1155495631 reducing max timestep prior to age target 227 1.7232510721604691D+09 (age_target - star_age)/age_sigma 228 259.9478800593 reducing max timestep prior to age target 228 1.6896612203854952D+09 (age_target - star_age)/age_sigma 229 254.8835639455 reducing max timestep prior to age target 229 1.6567431656460204D+09 230 7.165128 5580.365 -0.065151 -0.065151 1.000000 1.000000 0.489207 0.004912 0.250118 -1.588664 514 0 7.5087E+00 7.165128 -0.003212 -44.526397 -1.714182 -99.000000 0.000000 0.491147 0.008831 0.017479 0.103271 10 2.9450E+09 2.065203 -0.065081 -99.000000 -99.000000 -6.863227 0.000000 0.000017 0.001992 0.019646 0.000E+00 max_dt rel_E_err 1.9683939998733562D-13 log_rel_run_E_err -10.4544091445405698 (age_target - star_age)/age_sigma 230 249.9205341541 reducing max timestep prior to age target 230 1.6244834720013351D+09 (age_target - star_age)/age_sigma 231 245.0567649584 reducing max timestep prior to age target 231 1.5928689722295432D+09 (age_target - star_age)/age_sigma 232 240.2902711466 reducing max timestep prior to age target 232 1.5618867624531879D+09 (age_target - star_age)/age_sigma 233 235.6191072111 reducing max timestep prior to age target 233 1.5315241968723593D+09 (age_target - star_age)/age_sigma 234 231.0413665543 reducing max timestep prior to age target 234 1.5017688826031475D+09 (age_target - star_age)/age_sigma 235 226.5551807107 reducing max timestep prior to age target 235 1.4726086746193194D+09 (age_target - star_age)/age_sigma 236 222.1587185839 reducing max timestep prior to age target 236 1.4440316707951684D+09 (age_target - star_age)/age_sigma 237 217.8501856996 reducing max timestep prior to age target 237 1.4160262070475001D+09 (age_target - star_age)/age_sigma 238 213.6278234730 reducing max timestep prior to age target 238 1.3885808525747852D+09 (age_target - star_age)/age_sigma 239 209.4899084910 reducing max timestep prior to age target 239 1.3616844051915250D+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 1.8965647258472955D-13 log_rel_run_E_err -10.4323026744293283 (age_target - star_age)/age_sigma 240 205.4347518086 reducing max timestep prior to age target 240 1.3353258867559299D+09 (age_target - star_age)/age_sigma 241 201.4606982599 reducing max timestep prior to age target 241 1.3094945386890459D+09 (age_target - star_age)/age_sigma 242 197.5661257821 reducing max timestep prior to age target 242 1.2841798175835004D+09 (age_target - star_age)/age_sigma 243 193.7494447539 reducing max timestep prior to age target 243 1.2593713909000654D+09 (age_target - star_age)/age_sigma 244 190.0090973462 reducing max timestep prior to age target 244 1.2350591327502995D+09 (age_target - star_age)/age_sigma 245 186.3435568867 reducing max timestep prior to age target 245 1.2112331197635288D+09 (age_target - star_age)/age_sigma 246 182.7513272364 reducing max timestep prior to age target 246 1.1878836270364933D+09 (age_target - star_age)/age_sigma 247 179.2309421791 reducing max timestep prior to age target 247 1.1650011241639986D+09 (age_target - star_age)/age_sigma 248 175.7809648229 reducing max timestep prior to age target 248 1.1425762713489537D+09 (age_target - star_age)/age_sigma 249 172.3999870139 reducing max timestep prior to age target 249 1.1205999155902095D+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 1.8940923631869307D-13 log_rel_run_E_err -10.4106341447235913 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 165.7732705082 reducing max timestep prior to age target 251 1.0775262583030720D+09 (age_target - star_age)/age_sigma 252 162.5261794204 reducing max timestep prior to age target 252 1.0564201662323747D+09 (age_target - star_age)/age_sigma 253 159.3440301543 reducing max timestep prior to age target 253 1.0357361960030909D+09 (age_target - star_age)/age_sigma 254 156.2255238736 reducing max timestep prior to age target 254 1.0154659051783929D+09 (age_target - star_age)/age_sigma 255 153.1693877185 reducing max timestep prior to age target 255 9.9560102017018890D+08 (age_target - star_age)/age_sigma 256 150.1743742865 reducing max timestep prior to age target 256 9.7613343286214876D+08 (age_target - star_age)/age_sigma 257 147.2392611231 reducing max timestep prior to age target 257 9.5705519730026960D+08 (age_target - star_age)/age_sigma 258 144.3628502230 reducing max timestep prior to age target 258 9.3835852644962788D+08 (age_target - star_age)/age_sigma 259 141.5439675409 reducing max timestep prior to age target 259 9.2003578901599932D+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 -15.653560 -99.000000 -6.878917 0.000000 0.000018 0.002001 0.019724 0.000E+00 max_dt rel_E_err 1.9263117862318061D-13 log_rel_run_E_err -10.3905475182423235 (age_target - star_age)/age_sigma 260 138.7814625125 reducing max timestep prior to age target 260 9.0207950633104324D+08 (age_target - star_age)/age_sigma 261 136.0742075846 reducing max timestep prior to age target 261 8.8448234929978609D+08 (age_target - star_age)/age_sigma 262 133.4210977553 reducing max timestep prior to age target 262 8.6723713540915394D+08 (age_target - star_age)/age_sigma 263 130.8210501225 reducing max timestep prior to age target 263 8.5033682579633474D+08 (age_target - star_age)/age_sigma 264 128.2730034424 reducing max timestep prior to age target 264 8.3377452237577200D+08 (age_target - star_age)/age_sigma 265 125.7759176959 reducing max timestep prior to age target 265 8.1754346502362061D+08 (age_target - star_age)/age_sigma 266 123.3287736644 reducing max timestep prior to age target 266 8.0163702881851196D+08 (age_target - star_age)/age_sigma 267 120.9305725135 reducing max timestep prior to age target 267 7.8604872133750534D+08 (age_target - star_age)/age_sigma 268 118.5803353856 reducing max timestep prior to age target 268 7.7077218000611925D+08 (age_target - star_age)/age_sigma 269 116.2771030002 reducing max timestep prior to age target 269 7.5580116950136042D+08 270 7.179182 5597.289 -0.036002 -0.036002 1.000000 1.000000 0.417156 0.005057 0.244249 -1.553744 517 0 7.1665E+00 7.179182 0.008728 -43.576903 -1.671330 -99.000000 0.000000 0.563105 0.008743 0.017104 0.110839 10 3.8284E+09 2.121872 -0.035939 -99.000000 -99.000000 -6.882528 0.000000 0.000018 0.002003 0.019739 0.000E+00 max_dt rel_E_err 1.6616152271350501D-13 log_rel_run_E_err -10.3714523300459067 (age_target - star_age)/age_sigma 270 114.0199352626 reducing max timestep prior to age target 270 7.4112957920669699D+08 (age_target - star_age)/age_sigma 271 111.8079108797 reducing max timestep prior to age target 271 7.2675142071792698D+08 (age_target - star_age)/age_sigma 272 109.6401269845 reducing max timestep prior to age target 272 7.1266082539893246D+08 (age_target - star_age)/age_sigma 273 107.5156987671 reducing max timestep prior to age target 273 6.9885204198631716D+08 (age_target - star_age)/age_sigma 274 105.4337591141 reducing max timestep prior to age target 274 6.8531943424195480D+08 (age_target - star_age)/age_sigma 275 103.3934582542 reducing max timestep prior to age target 275 6.7205747865247965D+08 (age_target - star_age)/age_sigma 276 101.3939634115 reducing max timestep prior to age target 276 6.5906076217479372D+08 (age_target - star_age)/age_sigma 277 99.4344584656 reducing max timestep prior to age target 277 6.4632398002666140D+08 (age_target - star_age)/age_sigma 278 97.5141436187 reducing max timestep prior to age target 278 6.3384193352149200D+08 (age_target - star_age)/age_sigma 279 95.6322350687 reducing max timestep prior to age target 279 6.2160952794642639D+08 280 7.181416 5599.623 -0.031521 -0.031521 1.000000 1.000000 0.406205 0.005087 0.243347 -1.548134 517 0 7.0787E+00 7.181416 0.010606 -43.429795 -1.664325 -99.000000 0.000000 0.574044 0.008720 0.017047 0.112119 5 3.9599E+09 2.130852 -0.031459 -15.954590 -99.000000 -6.885506 0.000000 0.000019 0.002005 0.019751 0.000E+00 max_dt rel_E_err 1.8827053521174188D-13 log_rel_run_E_err -10.3532675512778400 (age_target - star_age)/age_sigma 280 93.7879646897 reducing max timestep prior to age target 280 6.0962177048286152D+08 (age_target - star_age)/age_sigma 281 91.9805797182 reducing max timestep prior to age target 281 5.9787376816856813D+08 (age_target - star_age)/age_sigma 282 90.2093424462 reducing max timestep prior to age target 282 5.8636072590056038D+08 (age_target - star_age)/age_sigma 283 88.4735299197 reducing max timestep prior to age target 283 5.7507794447791243D+08 (age_target - star_age)/age_sigma 285 85.0713373676 reducing max timestep prior to age target 285 5.5296369288952398D+08 (age_target - star_age)/age_sigma 286 83.4042630171 reducing max timestep prior to age target 286 5.4212770961121368D+08 (age_target - star_age)/age_sigma 287 81.7705301536 reducing max timestep prior to age target 287 5.3150844599846935D+08 (age_target - star_age)/age_sigma 288 80.1694719474 reducing max timestep prior to age target 288 5.2110156765797997D+08 (age_target - star_age)/age_sigma 289 78.6004349053 reducing max timestep prior to age target 289 5.1090282688430023D+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 1.6936853585963155D-13 log_rel_run_E_err -10.3359123163031423 (age_target - star_age)/age_sigma 290 77.0627786040 reducing max timestep prior to age target 290 5.0090806092609406D+08 (age_target - star_age)/age_sigma 291 75.5558754288 reducing max timestep prior to age target 291 4.9111319028705263D+08 (age_target - star_age)/age_sigma 292 74.0791103170 reducing max timestep prior to age target 292 4.8151421706079149D+08 (age_target - star_age)/age_sigma 293 72.6318805075 reducing max timestep prior to age target 293 4.7210722329905558D+08 (age_target - star_age)/age_sigma 294 71.2135952942 reducing max timestep prior to age target 294 4.6288836941255426D+08 (age_target - star_age)/age_sigma 295 69.8236757852 reducing max timestep prior to age target 295 4.5385389260378265D+08 (age_target - star_age)/age_sigma 296 68.4615546663 reducing max timestep prior to age target 296 4.4500010533118725D+08 (age_target - star_age)/age_sigma 297 67.1266759699 reducing max timestep prior to age target 297 4.3632339380404329D+08 (age_target - star_age)/age_sigma 298 65.8184948473 reducing max timestep prior to age target 298 4.2782021650744247D+08 (age_target - star_age)/age_sigma 299 64.5364773472 reducing max timestep prior to age target 299 4.1948710275677347D+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 -15.176439 -99.000000 -6.889989 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.7590893880633475D-13 log_rel_run_E_err -10.3191038829860524 (age_target - star_age)/age_sigma 300 63.2801001971 reducing max timestep prior to age target 300 4.1132065128111792D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0488505900 reducing max timestep prior to age target 301 4.0331752883497572D+08 (age_target - star_age)/age_sigma 302 60.8422259750 reducing max timestep prior to age target 302 3.9547446883775616D+08 (age_target - star_age)/age_sigma 303 59.6597338524 reducing max timestep prior to age target 303 3.8778827004048061D+08 (age_target - star_age)/age_sigma 304 58.5008915722 reducing max timestep prior to age target 304 3.8025579521915054D+08 (age_target - star_age)/age_sigma 305 57.3652261376 reducing max timestep prior to age target 305 3.7287396989424753D+08 (age_target - star_age)/age_sigma 306 56.2522740117 reducing max timestep prior to age target 306 3.6563978107584238D+08 (age_target - star_age)/age_sigma 307 55.1615809283 reducing max timestep prior to age target 307 3.5855027603380537D+08 (age_target - star_age)/age_sigma 308 54.0927017066 reducing max timestep prior to age target 308 3.5160256109260941D+08 (age_target - star_age)/age_sigma 309 53.0452000693 reducing max timestep prior to age target 309 3.4479380045023680D+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 1.7562990134047617D-13 log_rel_run_E_err -10.3029704158928865 (age_target - star_age)/age_sigma 310 52.0186484647 reducing max timestep prior to age target 310 3.3812121502071238D+08 (age_target - star_age)/age_sigma 311 51.0126278923 reducing max timestep prior to age target 311 3.3158208129977798D+08 (age_target - star_age)/age_sigma 312 50.0267277313 reducing max timestep prior to age target 312 3.2517373025326252D+08 (age_target - star_age)/age_sigma 313 49.0605455735 reducing max timestep prior to age target 313 3.1889354622767735D+08 (age_target - star_age)/age_sigma 314 48.1136870589 reducing max timestep prior to age target 314 3.1273896588260365D+08 (age_target - star_age)/age_sigma 315 47.1857657145 reducing max timestep prior to age target 315 3.0670747714443111D+08 (age_target - star_age)/age_sigma 316 46.2764027971 reducing max timestep prior to age target 316 3.0079661818102264D+08 (age_target - star_age)/age_sigma 317 45.3852271380 reducing max timestep prior to age target 317 2.9500397639688206D+08 (age_target - star_age)/age_sigma 318 44.5118749921 reducing max timestep prior to age target 318 2.8932718744842386D+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 1.8347029944192854D-13 log_rel_run_E_err -10.2875392526337226 (age_target - star_age)/age_sigma 320 42.8001047861 reducing max timestep prior to age target 320 2.7820068110944653D+08 (age_target - star_age)/age_sigma 321 41.9613373851 reducing max timestep prior to age target 321 2.7274869300334740D+08 (age_target - star_age)/age_sigma 322 41.1393453322 reducing max timestep prior to age target 322 2.6740574465937042D+08 (age_target - star_age)/age_sigma 323 40.3337931203 reducing max timestep prior to age target 323 2.6216965528227329D+08 (age_target - star_age)/age_sigma 324 39.5443519527 reducing max timestep prior to age target 324 2.5703828769271851D+08 (age_target - star_age)/age_sigma 325 38.7706996085 reducing max timestep prior to age target 325 2.5200954745495415D+08 (age_target - star_age)/age_sigma 326 38.0125203111 reducing max timestep prior to age target 326 2.4708138202194500D+08 (age_target - star_age)/age_sigma 327 37.2695045996 reducing max timestep prior to age target 327 2.4225177989759636D+08 (age_target - star_age)/age_sigma 328 36.5413492024 reducing max timestep prior to age target 328 2.3751876981573486D+08 (age_target - star_age)/age_sigma 329 35.8277569132 reducing max timestep prior to age target 329 2.3288041993551064D+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 1.8363786192488841D-13 log_rel_run_E_err -10.2721742514118581 (age_target - star_age)/age_sigma 330 35.1284364697 reducing max timestep prior to age target 330 2.2833483705288982D+08 (age_target - star_age)/age_sigma 331 34.4431024351 reducing max timestep prior to age target 331 2.2388016582792282D+08 (age_target - star_age)/age_sigma 332 33.7714750811 reducing max timestep prior to age target 332 2.1951458802745438D+08 (age_target - star_age)/age_sigma 333 33.1132802743 reducing max timestep prior to age target 333 2.1523632178299522D+08 (age_target - star_age)/age_sigma 334 32.4682493636 reducing max timestep prior to age target 334 2.1104362086342525D+08 (age_target - star_age)/age_sigma 335 31.8361190711 reducing max timestep prior to age target 335 2.0693477396224689D+08 (age_target - star_age)/age_sigma 336 31.2166313845 reducing max timestep prior to age target 336 2.0290810399909210D+08 (age_target - star_age)/age_sigma 337 30.6095334516 reducing max timestep prior to age target 337 1.9896196743520069D+08 (age_target - star_age)/age_sigma 338 30.0145774773 reducing max timestep prior to age target 338 1.9509475360258675D+08 (age_target - star_age)/age_sigma 339 29.4315206226 reducing max timestep prior to age target 339 1.9130488404662514D+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 1.9490256748931023D-13 log_rel_run_E_err -10.2574182465312429 (age_target - star_age)/age_sigma 340 28.8601249049 reducing max timestep prior to age target 340 1.8759081188178253D+08 (age_target - star_age)/age_sigma 341 28.3001571016 reducing max timestep prior to age target 341 1.8395102116023731D+08 (age_target - star_age)/age_sigma 342 27.7513886543 reducing max timestep prior to age target 342 1.8038402625312328D+08 (age_target - star_age)/age_sigma 343 27.2135955760 reducing max timestep prior to age target 343 1.7688837124415016D+08 (age_target - star_age)/age_sigma 344 26.6865583593 reducing max timestep prior to age target 344 1.7346262933535767D+08 (age_target - star_age)/age_sigma 345 26.1700618869 reducing max timestep prior to age target 345 1.7010540226474094D+08 (age_target - star_age)/age_sigma 346 25.6638953439 reducing max timestep prior to age target 346 1.6681531973553562D+08 (age_target - star_age)/age_sigma 347 25.1678521318 reducing max timestep prior to age target 347 1.6359103885691547D+08 (age_target - star_age)/age_sigma 348 24.6817297840 reducing max timestep prior to age target 348 1.6043124359586716D+08 (age_target - star_age)/age_sigma 349 24.2053298831 reducing max timestep prior to age target 349 1.5733464424003983D+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 1.7674809118427445D-13 log_rel_run_E_err -10.2433876038950018 (age_target - star_age)/age_sigma 350 23.7384579802 reducing max timestep prior to age target 350 1.5429997687132931D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2809235154 reducing max timestep prior to age target 351 1.5132600284999275D+08 (age_target - star_age)/age_sigma 352 22.8325397399 reducing max timestep prior to age target 352 1.4841150830908394D+08 (age_target - star_age)/age_sigma 353 22.3931236398 reducing max timestep prior to age target 353 1.4555530365899181D+08 (age_target - star_age)/age_sigma 355 21.5318680838 reducing max timestep prior to age target 355 1.3995714254481220D+08 (age_target - star_age)/age_sigma 356 21.1098528614 reducing max timestep prior to age target 356 1.3721404359886456D+08 (age_target - star_age)/age_sigma 357 20.6962779434 reducing max timestep prior to age target 357 1.3452580663183594D+08 (age_target - star_age)/age_sigma 358 20.2909745237 reducing max timestep prior to age target 358 1.3189133440414715D+08 (age_target - star_age)/age_sigma 359 19.8937771725 reducing max timestep prior to age target 359 1.2930955162101269D+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 -15.255620 -99.000000 -6.896595 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.8844906681833467D-13 log_rel_run_E_err -10.2297469472363591 (age_target - star_age)/age_sigma 360 19.5045237682 reducing max timestep prior to age target 360 1.2677940449354076D+08 (age_target - star_age)/age_sigma 361 19.1230554321 reducing max timestep prior to age target 361 1.2429986030861855D+08 (age_target - star_age)/age_sigma 362 18.7492164627 reducing max timestep prior to age target 362 1.2186990700739384D+08 (age_target - star_age)/age_sigma 363 18.3828542726 reducing max timestep prior to age target 363 1.1948855277219486D+08 (age_target - star_age)/age_sigma 364 18.0238193264 reducing max timestep prior to age target 364 1.1715482562169933D+08 (age_target - star_age)/age_sigma 365 17.6719650791 reducing max timestep prior to age target 365 1.1486777301421356D+08 (age_target - star_age)/age_sigma 366 17.3271479168 reducing max timestep prior to age target 366 1.1262646145887756D+08 (age_target - star_age)/age_sigma 367 16.9892270976 reducing max timestep prior to age target 367 1.1042997613464832D+08 (age_target - star_age)/age_sigma 368 16.6580646949 reducing max timestep prior to age target 368 1.0827742051690388D+08 (age_target - star_age)/age_sigma 369 16.3335255402 reducing max timestep prior to age target 369 1.0616791601151371D+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 1.8992033812648216D-13 log_rel_run_E_err -10.2163013954537103 (age_target - star_age)/age_sigma 370 16.0154771687 reducing max timestep prior to age target 370 1.0410060159623241D+08 (age_target - star_age)/age_sigma 371 15.7037897645 reducing max timestep prior to age target 371 1.0207463346925640D+08 (age_target - star_age)/age_sigma 372 15.3983361084 reducing max timestep prior to age target 372 1.0008918470481873D+08 (age_target - star_age)/age_sigma 373 15.0989915255 reducing max timestep prior to age target 373 9.8143444915671349D+07 (age_target - star_age)/age_sigma 374 14.8056338342 reducing max timestep prior to age target 374 9.6236619922306061D+07 (age_target - star_age)/age_sigma 375 14.5181432967 reducing max timestep prior to age target 375 9.4367931428808212D+07 (age_target - star_age)/age_sigma 376 14.2364025700 reducing max timestep prior to age target 376 9.2536616705180168D+07 (age_target - star_age)/age_sigma 377 13.9602966579 reducing max timestep prior to age target 377 9.0741928276025772D+07 (age_target - star_age)/age_sigma 378 13.6897128639 reducing max timestep prior to age target 378 8.8983133615453720D+07 (age_target - star_age)/age_sigma 379 13.4245407459 reducing max timestep prior to age target 379 8.7259514848093033D+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 -99.000000 -99.000000 -6.897561 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.8798500890729546D-13 log_rel_run_E_err -10.2033778418164829 (age_target - star_age)/age_sigma 380 13.1646720702 reducing max timestep prior to age target 380 8.5570368456079483D+07 (age_target - star_age)/age_sigma 381 12.9100007680 reducing max timestep prior to age target 381 8.3915004991906166D+07 (age_target - star_age)/age_sigma 382 12.6604228918 reducing max timestep prior to age target 382 8.2292748797016144D+07 (age_target - star_age)/age_sigma 383 12.4158365732 reducing max timestep prior to age target 383 8.0702937726024628D+07 (age_target - star_age)/age_sigma 384 12.1761419810 reducing max timestep prior to age target 384 7.9144922876451492D+07 (age_target - star_age)/age_sigma 385 11.9412412806 reducing max timestep prior to age target 385 7.7618068323870659D+07 (age_target - star_age)/age_sigma 386 11.7110385942 reducing max timestep prior to age target 386 7.6121750862341881D+07 (age_target - star_age)/age_sigma 387 11.4854399615 reducing max timestep prior to age target 387 7.4655359750042915D+07 (age_target - star_age)/age_sigma 388 11.2643533015 reducing max timestep prior to age target 388 7.3218296459990501D+07 (age_target - star_age)/age_sigma 389 11.0476883747 reducing max timestep prior to age target 389 7.1809974435739517D+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 1.8988928312251232D-13 log_rel_run_E_err -10.1907078654119729 (age_target - star_age)/age_sigma 391 10.6230251182 reducing max timestep prior to age target 391 6.9049663268206596D+07 (age_target - star_age)/age_sigma 392 10.4149401225 reducing max timestep prior to age target 392 6.7697110796114922D+07 (age_target - star_age)/age_sigma 393 10.2110168267 reducing max timestep prior to age target 393 6.6371609373466492D+07 (age_target - star_age)/age_sigma 394 10.0111719968 reducing max timestep prior to age target 394 6.5072617979269981D+07 (age_target - star_age)/age_sigma 395 9.8153240635 reducing max timestep prior to age target 395 6.3799606412957191D+07 (age_target - star_age)/age_sigma 396 9.6233930889 reducing max timestep prior to age target 396 6.2552055077971458D+07 (age_target - star_age)/age_sigma 397 9.4353007338 reducing max timestep prior to age target 397 6.1329454769684792D+07 (age_target - star_age)/age_sigma 398 9.2509702258 reducing max timestep prior to age target 398 6.0131306467563629D+07 (age_target - star_age)/age_sigma 399 9.0703263279 reducing max timestep prior to age target 399 5.8957121131485939D+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 3 4.5117E+09 2.170201 -0.012283 -99.000000 -99.000000 -6.898215 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.8540246142777468D-13 log_rel_run_E_err -10.1782943969166801 (age_target - star_age)/age_sigma 400 8.8932953080 reducing max timestep prior to age target 400 5.7806419502128601D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7198049085 reducing max timestep prior to age target 401 5.6678731905359268D+07 (age_target - star_age)/age_sigma 402 8.5497843170 reducing max timestep prior to age target 402 5.5573598060524940D+07 (age_target - star_age)/age_sigma 403 8.3831641373 reducing max timestep prior to age target 403 5.4490566892587662D+07 (age_target - star_age)/age_sigma 404 8.2198763612 reducing max timestep prior to age target 404 5.3429196348009109D+07 (age_target - star_age)/age_sigma 405 8.0598543407 reducing max timestep prior to age target 405 5.2389053214321136D+07 (age_target - star_age)/age_sigma 406 7.9030327605 reducing max timestep prior to age target 406 5.1369712943307877D+07 (age_target - star_age)/age_sigma 407 7.7493476120 reducing max timestep prior to age target 407 5.0370759477714539D+07 (age_target - star_age)/age_sigma 408 7.5987361664 reducing max timestep prior to age target 408 4.9391785081434250D+07 (age_target - star_age)/age_sigma 409 7.4511369497 reducing max timestep prior to age target 409 4.8432390173078537D+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 1.8240989792384456D-13 log_rel_run_E_err -10.1661261229681052 (age_target - star_age)/age_sigma 410 7.3064897174 reducing max timestep prior to age target 410 4.7492183162889481D+07 (age_target - star_age)/age_sigma 411 7.1647354297 reducing max timestep prior to age target 411 4.6570780292905807D+07 (age_target - star_age)/age_sigma 412 7.0258162277 reducing max timestep prior to age target 412 4.5667805480319977D+07 (age_target - star_age)/age_sigma 413 6.8896754098 reducing max timestep prior to age target 413 4.4782890163987160D+07 (age_target - star_age)/age_sigma 414 6.7562574083 reducing max timestep prior to age target 414 4.3915673153980255D+07 (age_target - star_age)/age_sigma 415 6.6255077668 reducing max timestep prior to age target 415 4.3065800484173775D+07 (age_target - star_age)/age_sigma 416 6.4973731181 reducing max timestep prior to age target 416 4.2232925267763138D+07 (age_target - star_age)/age_sigma 417 6.3718011624 reducing max timestep prior to age target 417 4.1416707555681229D+07 (age_target - star_age)/age_sigma 418 6.2487406458 reducing max timestep prior to age target 418 4.0616814197840691D+07 (age_target - star_age)/age_sigma 419 6.1281413396 reducing max timestep prior to age target 419 3.9832918707157135D+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 1.7792766961294077D-13 log_rel_run_E_err -10.1546247836440955 (age_target - star_age)/age_sigma 420 6.0099540194 reducing max timestep prior to age target 420 3.9064701126286507D+07 (age_target - star_age)/age_sigma 421 5.8941304457 reducing max timestep prior to age target 421 3.8311847897033691D+07 (age_target - star_age)/age_sigma 422 5.7806233434 reducing max timestep prior to age target 422 3.7574051732366562D+07 (age_target - star_age)/age_sigma 423 5.6693863832 reducing max timestep prior to age target 423 3.6851011490991592D+07 (age_target - star_age)/age_sigma 425 5.4513619412 reducing max timestep prior to age target 425 3.5433852617897987D+07 (age_target - star_age)/age_sigma 426 5.3445299646 reducing max timestep prior to age target 426 3.4739444770082474D+07 (age_target - star_age)/age_sigma 427 5.2398346276 reducing max timestep prior to age target 427 3.4058925079222679D+07 (age_target - star_age)/age_sigma 428 5.1372331973 reducing max timestep prior to age target 428 3.3392015782179832D+07 (age_target - star_age)/age_sigma 429 5.0366837956 reducing max timestep prior to age target 429 3.2738444671078682D+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 1.9028034403627093D-13 log_rel_run_E_err -10.1434579283464750 (age_target - star_age)/age_sigma 430 4.9379252898 reducing max timestep prior to age target 430 3.2096514383410454D+07 (age_target - star_age)/age_sigma 431 4.8391667840 reducing max timestep prior to age target 431 3.1454584095742226D+07 (age_target - star_age)/age_sigma 432 4.7404082782 remaining steps and years until age target 432 48 3.0812653808074951D+07 (age_target - star_age)/age_sigma 433 4.6416497724 remaining steps and years until age target 433 47 3.0170723520406723D+07 (age_target - star_age)/age_sigma 434 4.5428912666 remaining steps and years until age target 434 46 2.9528793232738495D+07 (age_target - star_age)/age_sigma 435 4.4441327608 remaining steps and years until age target 435 45 2.8886862945070267D+07 (age_target - star_age)/age_sigma 436 4.3453742550 remaining steps and years until age target 436 44 2.8244932657402992D+07 (age_target - star_age)/age_sigma 437 4.2466157492 remaining steps and years until age target 437 43 2.7603002369734764D+07 (age_target - star_age)/age_sigma 438 4.1478572434 remaining steps and years until age target 438 42 2.6961072082066536D+07 (age_target - star_age)/age_sigma 439 4.0490987376 remaining steps and years until age target 439 41 2.6319141794398308D+07 440 7.191853 5608.720 -0.011199 -0.011199 1.000000 1.000000 0.356734 0.005254 0.239490 -1.521955 516 0 5.8075E+00 7.191853 0.019353 -42.754841 -1.630975 -99.000000 0.000000 0.623470 0.008575 0.016801 0.118396 3 4.5438E+09 2.172579 -0.011146 -99.000000 -99.000000 -6.898973 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8899603991102044D-13 log_rel_run_E_err -10.1326923977660357 (age_target - star_age)/age_sigma 440 3.9503402318 remaining steps and years until age target 440 40 2.5677211506730080D+07 (age_target - star_age)/age_sigma 441 3.8515817260 remaining steps and years until age target 441 39 2.5035281219062805D+07 (age_target - star_age)/age_sigma 442 3.7528232202 reducing max timestep prior to age target 442 2.4393350931393623D+07 (age_target - star_age)/age_sigma 443 3.6540647144 remaining steps and years until age target 443 37 2.3751420643726349D+07 (age_target - star_age)/age_sigma 444 3.5553062086 reducing max timestep prior to age target 444 2.3109490356057167D+07 (age_target - star_age)/age_sigma 445 3.4565477028 remaining steps and years until age target 445 35 2.2467560068389893D+07 (age_target - star_age)/age_sigma 446 3.3577891970 reducing max timestep prior to age target 446 2.1825629780720711D+07 (age_target - star_age)/age_sigma 447 3.2590306912 remaining steps and years until age target 447 33 2.1183699493052483D+07 (age_target - star_age)/age_sigma 448 3.1602721854 remaining steps and years until age target 448 32 2.0541769205385208D+07 (age_target - star_age)/age_sigma 449 3.0615136796 reducing max timestep prior to age target 449 1.9899838917716026D+07 450 7.191973 5608.818 -0.010972 -0.010972 1.000000 1.000000 0.356182 0.005256 0.239446 -1.521655 516 0 5.8075E+00 7.191973 0.019451 -42.747208 -1.630587 -99.000000 0.000000 0.624022 0.008573 0.016798 0.118471 3 4.5502E+09 2.173056 -0.010918 -99.000000 -99.000000 -6.899124 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.7194488184612377D-13 log_rel_run_E_err -10.1219917939112083 (age_target - star_age)/age_sigma 450 2.9627551739 remaining steps and years until age target 450 30 1.9257908630048752D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8639966681 reducing max timestep prior to age target 451 1.8615978342379570D+07 (age_target - star_age)/age_sigma 452 2.7652381623 remaining steps and years until age target 452 28 1.7974048054712296D+07 (age_target - star_age)/age_sigma 453 2.6664796565 reducing max timestep prior to age target 453 1.7332117767043114D+07 (age_target - star_age)/age_sigma 454 2.5677211507 remaining steps and years until age target 454 26 1.6690187479375839D+07 (age_target - star_age)/age_sigma 455 2.4689626449 reducing max timestep prior to age target 455 1.6048257191706657D+07 (age_target - star_age)/age_sigma 456 2.3702041391 remaining steps and years until age target 456 24 1.5406326904038429D+07 (age_target - star_age)/age_sigma 457 2.2714456333 remaining steps and years until age target 457 23 1.4764396616370201D+07 (age_target - star_age)/age_sigma 458 2.1726871275 reducing max timestep prior to age target 458 1.4122466328701019D+07 (age_target - star_age)/age_sigma 459 2.0739286217 remaining steps and years until age target 459 21 1.3480536041033745D+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 1.7172653713458934D-13 log_rel_run_E_err -10.1114546357165587 (age_target - star_age)/age_sigma 460 1.9751701159 reducing max timestep prior to age target 460 1.2838605753364563D+07 (age_target - star_age)/age_sigma 461 1.8764116101 remaining steps and years until age target 461 19 1.2196675465696335D+07 (age_target - star_age)/age_sigma 462 1.7776531043 remaining steps and years until age target 462 18 1.1554745178029060D+07 (age_target - star_age)/age_sigma 463 1.6788945985 reducing max timestep prior to age target 463 1.0912814890359879D+07 (age_target - star_age)/age_sigma 464 1.5801360927 remaining steps and years until age target 464 16 1.0270884602692604D+07 (age_target - star_age)/age_sigma 465 1.4813775869 reducing max timestep prior to age target 465 9.6289543150234222D+06 (age_target - star_age)/age_sigma 466 1.3826190811 remaining steps and years until age target 466 14 8.9870240273561478D+06 (age_target - star_age)/age_sigma 467 1.2838605753 reducing max timestep prior to age target 467 8.3450937396869659D+06 (age_target - star_age)/age_sigma 468 1.1851020695 remaining steps and years until age target 468 12 7.7031634520187378D+06 (age_target - star_age)/age_sigma 469 1.0863435637 remaining steps and years until age target 469 11 7.0612331643514633D+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 1.7363874986328073D-13 log_rel_run_E_err -10.1011314933678555 (age_target - star_age)/age_sigma 470 0.9875850580 reducing max timestep prior to age target 470 6.4193028766822815D+06 (age_target - star_age)/age_sigma 471 0.8888265522 remaining steps and years until age target 471 9 5.7773725890150070D+06 (age_target - star_age)/age_sigma 472 0.7900680464 reducing max timestep prior to age target 472 5.1354423013458252D+06 (age_target - star_age)/age_sigma 473 0.6913095406 remaining steps and years until age target 473 7 4.4935120136785507D+06 (age_target - star_age)/age_sigma 474 0.5925510348 reducing max timestep prior to age target 474 3.8515817260093689D+06 (age_target - star_age)/age_sigma 475 0.4937925290 remaining steps and years until age target 475 5 3.2096514383411407D+06 (age_target - star_age)/age_sigma 476 0.3950340232 remaining steps and years until age target 476 4 2.5677211506729126D+06 (age_target - star_age)/age_sigma 477 0.2962755174 remaining steps and years until age target 477 3 1.9257908630046844D+06 (age_target - star_age)/age_sigma 478 0.1975170116 remaining steps and years until age target 478 2 1.2838605753374100D+06 (age_target - star_age)/age_sigma 479 0.0987585058 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 1.7682913557631585D-13 log_rel_run_E_err -10.0912689186460760 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 2.34 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 1.7682913557631585D-13 log_rel_run_E_err -10.0912689186460760 Teff 5609.1122770902 radius 1.0465194170 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 2164.0561576556 M_H -0.0068647779 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 47.1251749319 log_R 0.0197472906 delta_nu 132.3456575915 nu_max 2850.9534669602 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 334070.3937775292 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 "9dea5ab" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251009" "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 3.3333875998557935E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615172900E+03 1.0010042019471497E+00 3.9078811634217052E-03 4.3590053489322983E-04 1.4131272100404678E+02 3.1134409186022872E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557935E+05 0 0 0 0 0 0 0 4 3.3337679267851578E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620724863E+03 1.0114129282000397E+00 3.5086385976877904E-04 4.9285006214752139E-03 1.3913658568070426E+02 3.0234851123029280E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851578E+05 0 0 0 0 0 0 0 1 3.3351283960191562E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383755896E+03 1.0231407131232713E+00 -1.7395981987816708E-03 9.9353665865147631E-03 1.3680762272707830E+02 2.9640776267841038E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191562E+05 0 0 0 0 0 0 0 3 3.3365606602478313E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078364049E+03 1.0099970103005844E+00 2.9466215559506938E-02 4.3200882263252959E-03 1.3947582155337045E+02 3.0536692076816480E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602478313E+05 0 0 0 0 0 0 0 7 3.3407039377752919E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770902093E+03 1.0465194169960850E+00 -6.8647778501495244E-03 1.9747290597328077E-02 1.3234565759150846E+02 2.8509534669602235E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377752919E+05 0 0 0 0 0 0 0 6 3.3418048986542737E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558232011E+03 1.0372797593385101E+00 -3.3936545786878013E-02 1.5895903497250979E-02 1.3402431816166543E+02 2.8735532959087386E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986542737E+05 0 0 0 0 0 0 0 2 3.3468070564326667E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399265890E+03 1.0622782375811581E+00 -1.2788199778892683E-02 2.6238284372221875E-02 1.2938435093838254E+02 2.7294282123468802E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326667E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.6392348767542978D-01 -3.0382561622851256D-01 next_param_to_try initial_FeH 3 6.8730947587493041D-02 1.4551579312488414D-01 next_param_to_try alpha 4 2.1110729980030487D+00 3.7024332667682969D-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 3.9257590580971480D-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 1.9793106793172843D-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 -27.995790 -99.000000 -7.618832 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501695973185D-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 7.8128501473928580D-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 7.8128502584151605D-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 7.8128501473928580D-08 finished relax to begin radiative core 66 1.2817242689846006D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1682140396445171D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6392348767542980D-05 initial_he4 2.6389709532666222D-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 2.5920516022345723D-13 log_rel_run_E_err -11.5706801326012041 solver rejected trial model s% model_number 11 s% solver_call_number 128 nz 459 s% num_retries 0 dt 1.9336979196721425D+03 log dt/secyer -4.2127153370829564D+00 retry: max residual jumped -- give up in solver 11 20 6.620903 4334.368 -4.904165 -4.904165 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 1 -3.8803E+00 6.620903 0.262121 -99.000000 -6.301912 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071946 6 9.2499E-04 0.156468 0.026639 -99.000000 -99.000000 -6.913825 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.4934308303401970D-13 log_rel_run_E_err -11.2693946033139074 30 6.620911 4342.329 -4.904165 -4.904165 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 1 -3.0885E+00 6.620911 0.262169 -99.000000 -6.301913 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 5 5.0286E-03 0.156481 0.029923 -20.470040 -99.000000 -6.917384 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6795077563546265D-13 log_rel_run_E_err -11.0887143945668800 40 6.620919 4343.637 -4.904161 -4.904161 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1 -2.2967E+00 6.620919 0.262216 -99.000000 -6.301908 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 3.0437E-02 0.156493 0.030540 -20.470040 -99.000000 -6.918012 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6999762081980920D-13 log_rel_run_E_err -10.9666249698100255 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 -20.470040 -99.000000 -6.918186 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6087984530416186D-13 log_rel_run_E_err -10.8703350389890971 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.620920 4344.021 -4.904159 -4.904159 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1 -7.1305E-01 6.620920 0.262225 -99.000000 -6.301907 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2 1.1619E+00 0.156495 0.030712 -99.000000 -99.000000 -6.918190 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.8134826602781759D-13 log_rel_run_E_err -10.7913377510361528 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 2.6962517981745432D-13 log_rel_run_E_err -10.7241329488888049 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 2.6199457920641086D-13 log_rel_run_E_err -10.6663468384914442 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 2.4393685070507819D-13 log_rel_run_E_err -10.6145484028804908 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.621014 4343.899 -4.903137 -4.903137 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020464 459 1 2.4542E+00 6.621014 0.262118 -99.000000 -6.300884 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071948 2 1.7075E+03 0.156830 0.030449 -99.000000 -99.000000 -6.918008 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.5969748183293181D-13 log_rel_run_E_err -10.5695711438770328 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 2.7589143939059401D-13 log_rel_run_E_err -10.5289742435462017 120 6.624428 4339.412 -4.865661 -4.865661 1.000000 1.000000 0.716821 0.000973 0.263923 -4.003720 459 1 4.0378E+00 6.624428 0.258185 -99.000000 -6.263406 -99.000000 0.000000 0.263924 0.009031 0.019255 0.072064 2 6.5461E+04 0.169180 0.020787 -20.293948 -99.000000 -6.911317 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err -1.6034566608113794D-14 log_rel_run_E_err -10.5019970451869522 130 6.640510 4317.225 -4.686498 -4.686498 1.000000 1.000000 0.716821 0.000973 0.263923 -3.918927 461 1 4.8296E+00 6.640510 0.239243 -99.000000 -6.084228 -99.000000 0.000000 0.263924 0.009031 0.019255 0.072757 3 4.0532E+05 0.229895 -0.026001 -99.000000 -99.000000 -6.878528 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7416557793111960D-13 log_rel_run_E_err -10.4546048742886839 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 2.5557464805529131D-13 log_rel_run_E_err -10.4029292657811592 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 2.2533293708184757D-13 log_rel_run_E_err -10.4158776872304220 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 1.9107382012607947D-13 log_rel_run_E_err -10.5377844692493579 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 -15.954590 -99.000000 -6.818851 0.000000 0.002805 0.002008 0.019343 0.000E+00 max increase rel_E_err 2.1161535909108422D-13 log_rel_run_E_err -10.6427200573978009 (age_target - star_age)/age_sigma 173 694.6134728491 reducing max timestep prior to age target 173 4.5149875735191851D+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 1.9797483483386272D-13 log_rel_run_E_err -10.6089368743720591 (age_target - star_age)/age_sigma 180 680.7483003305 reducing max timestep prior to age target 180 4.4248639521481094D+09 (age_target - star_age)/age_sigma 183 666.7469289480 reducing max timestep prior to age target 183 4.3338550381616907D+09 (age_target - star_age)/age_sigma 185 652.1239582205 reducing max timestep prior to age target 185 4.2388057284334579D+09 (age_target - star_age)/age_sigma 187 631.0668803730 reducing max timestep prior to age target 187 4.1019347224248018D+09 (age_target - star_age)/age_sigma 188 618.7479365154 reducing max timestep prior to age target 188 4.0218615873498220D+09 (age_target - star_age)/age_sigma 189 606.6753715348 reducing max timestep prior to age target 189 3.9433899149763422D+09 190 7.130307 5562.274 -0.155879 -0.155879 1.000000 1.000000 0.671306 0.004860 0.259983 -1.659423 506 1 7.8859E+00 7.130307 -0.045758 -47.036929 -1.819456 -99.000000 0.000000 0.308792 0.009067 0.019003 0.089556 10 7.0301E+08 1.934298 -0.155813 -15.176439 -99.000000 -6.816486 0.000000 0.000014 0.002017 0.019902 0.000E+00 max_dt rel_E_err 1.9773792577289041D-13 log_rel_run_E_err -10.5783271113117578 (age_target - star_age)/age_sigma 190 594.8442578539 reducing max timestep prior to age target 190 3.8664876760503316D+09 (age_target - star_age)/age_sigma 191 583.2497664466 reducing max timestep prior to age target 191 3.7911234819028416D+09 (age_target - star_age)/age_sigma 192 571.8871648674 reducing max timestep prior to age target 192 3.7172665716383009D+09 (age_target - star_age)/age_sigma 193 560.7518153199 reducing max timestep prior to age target 193 3.6448867995790515D+09 (age_target - star_age)/age_sigma 194 549.8391727632 reducing max timestep prior to age target 194 3.5739546229609871D+09 (age_target - star_age)/age_sigma 195 539.1447830577 reducing max timestep prior to age target 195 3.5044410898752837D+09 (age_target - star_age)/age_sigma 196 528.6642811464 reducing max timestep prior to age target 196 3.4363178274512949D+09 (age_target - star_age)/age_sigma 197 518.3933892732 reducing max timestep prior to age target 197 3.3695570302757854D+09 (age_target - star_age)/age_sigma 198 508.3279152375 reducing max timestep prior to age target 198 3.3041314490437860D+09 (age_target - star_age)/age_sigma 199 498.4637506825 reducing max timestep prior to age target 199 3.2400143794364271D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.138111 5580.085 -0.136837 -0.136837 1.000000 1.000000 0.621619 0.004898 0.256105 -1.640693 510 1 7.7982E+00 7.138111 -0.039011 -46.416281 -1.800979 -99.000000 0.000000 0.358383 0.009096 0.018754 0.092951 10 1.3923E+09 1.966680 -0.136764 -99.000000 -99.000000 -6.828811 0.000000 0.000015 0.002026 0.019998 0.000E+00 max_dt rel_E_err 1.8052419964299871D-13 log_rel_run_E_err -10.5496772764371602 (age_target - star_age)/age_sigma 200 488.7968694186 reducing max timestep prior to age target 200 3.1771796512212148D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 479.3233257800 reducing max timestep prior to age target 201 3.1156016175703068D+09 (age_target - star_age)/age_sigma 202 470.0392530142 reducing max timestep prior to age target 202 3.0552551445924177D+09 (age_target - star_age)/age_sigma 203 460.9408617037 reducing max timestep prior to age target 203 2.9961156010740852D+09 (age_target - star_age)/age_sigma 204 452.0244382194 reducing max timestep prior to age target 204 2.9381588484261203D+09 (age_target - star_age)/age_sigma 205 443.2863432048 reducing max timestep prior to age target 205 2.8813612308311143D+09 (age_target - star_age)/age_sigma 206 434.7230100905 reducing max timestep prior to age target 206 2.8256995655880089D+09 (age_target - star_age)/age_sigma 207 426.3309436384 reducing max timestep prior to age target 207 2.7711511336497650D+09 (age_target - star_age)/age_sigma 208 418.1067185154 reducing max timestep prior to age target 208 2.7176936703502865D+09 (age_target - star_age)/age_sigma 209 410.0469778949 reducing max timestep prior to age target 209 2.6653053563167973D+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 1.8174787840147936D-13 log_rel_run_E_err -10.5225173052700942 (age_target - star_age)/age_sigma 210 402.1484320868 reducing max timestep prior to age target 210 2.6139648085639772D+09 (age_target - star_age)/age_sigma 211 394.4078571948 reducing max timestep prior to age target 211 2.5636510717662144D+09 (age_target - star_age)/age_sigma 212 386.8220938007 reducing max timestep prior to age target 212 2.5143436097044067D+09 (age_target - star_age)/age_sigma 214 371.9539975482 reducing max timestep prior to age target 214 2.4177009840632634D+09 (age_target - star_age)/age_sigma 215 364.6686303845 reducing max timestep prior to age target 215 2.3703460974991031D+09 (age_target - star_age)/age_sigma 216 357.5289705640 reducing max timestep prior to age target 216 2.3239383086662259D+09 (age_target - star_age)/age_sigma 217 350.5321039400 reducing max timestep prior to age target 217 2.2784586756100068D+09 (age_target - star_age)/age_sigma 218 343.6751746484 reducing max timestep prior to age target 218 2.2338886352149115D+09 (age_target - star_age)/age_sigma 219 336.9553839427 reducing max timestep prior to age target 219 2.1902099956277189D+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 -15.477469 -99.000000 -6.848351 0.000000 0.000016 0.002041 0.020136 0.000E+00 max_dt rel_E_err 2.0863232892807688D-13 log_rel_run_E_err -10.4965256200025028 (age_target - star_age)/age_sigma 220 330.3699890511 reducing max timestep prior to age target 220 2.1474049288322697D+09 (age_target - star_age)/age_sigma 221 323.9163020573 reducing max timestep prior to age target 221 2.1054559633727293D+09 (age_target - star_age)/age_sigma 222 317.5916888034 reducing max timestep prior to age target 222 2.0643459772223797D+09 (age_target - star_age)/age_sigma 223 311.3935678146 reducing max timestep prior to age target 223 2.0240581907950373D+09 (age_target - star_age)/age_sigma 224 305.3194092456 reducing max timestep prior to age target 224 1.9845761600962415D+09 (age_target - star_age)/age_sigma 225 299.3667338479 reducing max timestep prior to age target 225 1.9458837700114217D+09 (age_target - star_age)/age_sigma 226 293.5331119582 reducing max timestep prior to age target 226 1.9079652277282987D+09 (age_target - star_age)/age_sigma 227 287.8161625063 reducing max timestep prior to age target 227 1.8708050562908378D+09 (age_target - star_age)/age_sigma 228 282.2135520434 reducing max timestep prior to age target 228 1.8343880882821264D+09 (age_target - star_age)/age_sigma 229 276.7229937898 reducing max timestep prior to age target 229 1.7986994596335888D+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 2.0691129659771508D-13 log_rel_run_E_err -10.4715873725713120 (age_target - star_age)/age_sigma 230 271.3422467012 reducing max timestep prior to age target 230 1.7637246035580220D+09 (age_target - star_age)/age_sigma 231 266.0691145545 reducing max timestep prior to age target 231 1.7294492446039667D+09 (age_target - star_age)/age_sigma 232 260.9014450506 reducing max timestep prior to age target 232 1.6958593928289928D+09 (age_target - star_age)/age_sigma 233 255.8371289368 reducing max timestep prior to age target 233 1.6629413380895181D+09 (age_target - star_age)/age_sigma 234 250.8740991454 reducing max timestep prior to age target 234 1.6306816444448328D+09 (age_target - star_age)/age_sigma 235 246.0103299497 reducing max timestep prior to age target 235 1.5990671446730413D+09 (age_target - star_age)/age_sigma 236 241.2438361380 reducing max timestep prior to age target 236 1.5680849348966856D+09 (age_target - star_age)/age_sigma 237 236.5726722024 reducing max timestep prior to age target 237 1.5377223693158574D+09 (age_target - star_age)/age_sigma 238 231.9949315456 reducing max timestep prior to age target 238 1.5079670550466452D+09 (age_target - star_age)/age_sigma 239 227.5087457020 reducing max timestep prior to age target 239 1.4788068470628176D+09 240 7.160399 5622.521 -0.086828 -0.086828 1.000000 1.000000 0.493538 0.005035 0.246402 -1.585276 511 1 7.4560E+00 7.160399 -0.020588 -44.784961 -1.738822 -99.000000 0.000000 0.486238 0.009114 0.018129 0.103601 10 3.1193E+09 2.058219 -0.086758 -15.352530 -99.000000 -6.862578 0.000000 0.000017 0.002050 0.020224 0.000E+00 max_dt rel_E_err 1.9576329131123459D-13 log_rel_run_E_err -10.4484496146640158 (age_target - star_age)/age_sigma 240 223.1122835752 reducing max timestep prior to age target 240 1.4502298432386661D+09 (age_target - star_age)/age_sigma 241 218.8037506909 reducing max timestep prior to age target 241 1.4222243794909983D+09 (age_target - star_age)/age_sigma 242 214.5813884644 reducing max timestep prior to age target 242 1.3947790250182834D+09 (age_target - star_age)/age_sigma 243 210.4434734823 reducing max timestep prior to age target 243 1.3678825776350226D+09 (age_target - star_age)/age_sigma 244 206.3883167999 reducing max timestep prior to age target 244 1.3415240591994276D+09 (age_target - star_age)/age_sigma 245 202.4142632512 reducing max timestep prior to age target 245 1.3156927111325440D+09 (age_target - star_age)/age_sigma 246 198.5196907734 reducing max timestep prior to age target 246 1.2903779900269980D+09 (age_target - star_age)/age_sigma 248 190.8863287169 reducing max timestep prior to age target 248 1.2407611366601281D+09 (age_target - star_age)/age_sigma 249 187.1459813093 reducing max timestep prior to age target 249 1.2164488785103621D+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 -15.109492 -99.000000 -6.868038 0.000000 0.000017 0.002053 0.020254 0.000E+00 max_dt rel_E_err 1.7456567743363088D-13 log_rel_run_E_err -10.4266369959370238 (age_target - star_age)/age_sigma 250 183.4804408498 reducing max timestep prior to age target 250 1.1926228655235915D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 179.8882111995 reducing max timestep prior to age target 251 1.1692733727965565D+09 (age_target - star_age)/age_sigma 252 176.3678261422 reducing max timestep prior to age target 252 1.1463908699240618D+09 (age_target - star_age)/age_sigma 253 172.9178487860 reducing max timestep prior to age target 253 1.1239660171090164D+09 (age_target - star_age)/age_sigma 254 169.5368709770 reducing max timestep prior to age target 254 1.1019896613502727D+09 (age_target - star_age)/age_sigma 255 166.2235127241 reducing max timestep prior to age target 255 1.0804528327067037D+09 (age_target - star_age)/age_sigma 256 162.9764216363 reducing max timestep prior to age target 256 1.0593467406360064D+09 (age_target - star_age)/age_sigma 257 159.7942723703 reducing max timestep prior to age target 257 1.0386627704067225D+09 (age_target - star_age)/age_sigma 258 156.6757660895 reducing max timestep prior to age target 258 1.0183924795820246D+09 (age_target - star_age)/age_sigma 259 153.6196299344 reducing max timestep prior to age target 259 9.9852759457382059D+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 -14.840646 -99.000000 -6.872630 0.000000 0.000018 0.002056 0.020278 0.000E+00 max_dt rel_E_err 2.0260479065614454D-13 log_rel_run_E_err -10.4056742033858658 (age_target - star_age)/age_sigma 260 150.6246165024 reducing max timestep prior to age target 260 9.7906000726578045D+08 (age_target - star_age)/age_sigma 261 147.6895033391 reducing max timestep prior to age target 261 9.5998177170390129D+08 (age_target - star_age)/age_sigma 262 144.8130924390 reducing max timestep prior to age target 262 9.4128510085326004D+08 (age_target - star_age)/age_sigma 263 141.9942097569 reducing max timestep prior to age target 263 9.2296236341963100D+08 (age_target - star_age)/age_sigma 264 139.2317047284 reducing max timestep prior to age target 264 9.0500608073467493D+08 (age_target - star_age)/age_sigma 265 136.5244498005 reducing max timestep prior to age target 265 8.8740892370341778D+08 (age_target - star_age)/age_sigma 266 133.8713399712 reducing max timestep prior to age target 266 8.7016370981278563D+08 (age_target - star_age)/age_sigma 267 131.2712923385 reducing max timestep prior to age target 267 8.5326340019996643D+08 (age_target - star_age)/age_sigma 268 128.7232456584 reducing max timestep prior to age target 268 8.3670109677940369D+08 (age_target - star_age)/age_sigma 269 126.2261599119 reducing max timestep prior to age target 269 8.2047003942725229D+08 270 7.169921 5637.260 -0.066785 -0.066785 1.000000 1.000000 0.444041 0.005117 0.242812 -1.560892 510 1 7.2016E+00 7.169921 -0.012843 -44.132330 -1.710531 -99.000000 0.000000 0.535662 0.009079 0.017895 0.108660 10 3.7649E+09 2.096955 -0.066719 -15.954590 -99.000000 -6.876458 0.000000 0.000018 0.002058 0.020297 0.000E+00 max_dt rel_E_err 1.8346968927946050D-13 log_rel_run_E_err -10.3861734339242311 (age_target - star_age)/age_sigma 270 123.7790158803 reducing max timestep prior to age target 270 8.0456360322214365D+08 (age_target - star_age)/age_sigma 271 121.3808147294 reducing max timestep prior to age target 271 7.8897529574113703D+08 (age_target - star_age)/age_sigma 272 119.0305776015 reducing max timestep prior to age target 272 7.7369875440975094D+08 (age_target - star_age)/age_sigma 273 116.7273452162 reducing max timestep prior to age target 273 7.5872774390499210D+08 (age_target - star_age)/age_sigma 274 114.4701774785 reducing max timestep prior to age target 274 7.4405615361032867D+08 (age_target - star_age)/age_sigma 275 112.2581530956 reducing max timestep prior to age target 275 7.2967799512155867D+08 (age_target - star_age)/age_sigma 276 110.0903692004 reducing max timestep prior to age target 276 7.1558739980256414D+08 (age_target - star_age)/age_sigma 277 107.9659409831 reducing max timestep prior to age target 277 7.0177861638994884D+08 (age_target - star_age)/age_sigma 278 105.8840013301 reducing max timestep prior to age target 278 6.8824600864558697D+08 (age_target - star_age)/age_sigma 279 103.8437004702 reducing max timestep prior to age target 279 6.7498405305611134D+08 280 7.172142 5640.417 -0.062249 -0.062249 1.000000 1.000000 0.432963 0.005140 0.242034 -1.555173 509 1 7.1138E+00 7.172142 -0.011062 -43.984221 -1.703849 -99.000000 0.000000 0.546725 0.009065 0.017844 0.109881 10 3.9075E+09 2.105931 -0.062185 -99.000000 -99.000000 -6.879618 0.000000 0.000018 0.002060 0.020312 0.000E+00 max_dt rel_E_err 1.7989060837327726D-13 log_rel_run_E_err -10.3674524868334750 (age_target - star_age)/age_sigma 280 101.8442056275 reducing max timestep prior to age target 280 6.6198733657842541D+08 (age_target - star_age)/age_sigma 281 99.8847006816 reducing max timestep prior to age target 281 6.4925055443029308D+08 (age_target - star_age)/age_sigma 283 96.0440709877 reducing max timestep prior to age target 283 6.2428646141995430D+08 (age_target - star_age)/age_sigma 284 94.1621624377 reducing max timestep prior to age target 284 6.1205405584488869D+08 (age_target - star_age)/age_sigma 285 92.3178920587 reducing max timestep prior to age target 285 6.0006629838132381D+08 (age_target - star_age)/age_sigma 286 90.5105070872 reducing max timestep prior to age target 286 5.8831829606703043D+08 (age_target - star_age)/age_sigma 287 88.7392698152 reducing max timestep prior to age target 287 5.7680525379902267D+08 (age_target - star_age)/age_sigma 288 87.0034572887 reducing max timestep prior to age target 288 5.6552247237637472D+08 (age_target - star_age)/age_sigma 289 85.3023610126 reducing max timestep prior to age target 289 5.5446534658218050D+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 2.0128302713401146D-13 log_rel_run_E_err -10.3491147081753798 (age_target - star_age)/age_sigma 290 83.6352866621 reducing max timestep prior to age target 290 5.4362936330387020D+08 (age_target - star_age)/age_sigma 291 82.0015537986 reducing max timestep prior to age target 291 5.3301009969112587D+08 (age_target - star_age)/age_sigma 292 80.4004955924 reducing max timestep prior to age target 292 5.2260322135063648D+08 (age_target - star_age)/age_sigma 293 78.8314585503 reducing max timestep prior to age target 293 5.1240448057695675D+08 (age_target - star_age)/age_sigma 294 77.2938022490 reducing max timestep prior to age target 294 5.0240971461875057D+08 (age_target - star_age)/age_sigma 295 75.7868990738 reducing max timestep prior to age target 295 4.9261484397970915D+08 (age_target - star_age)/age_sigma 296 74.3101339621 reducing max timestep prior to age target 296 4.8301587075344801D+08 (age_target - star_age)/age_sigma 297 72.8629041526 reducing max timestep prior to age target 297 4.7360887699171209D+08 (age_target - star_age)/age_sigma 298 71.4446189393 reducing max timestep prior to age target 298 4.6439002310521030D+08 (age_target - star_age)/age_sigma 299 70.0546994302 reducing max timestep prior to age target 299 4.5535554629643917D+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 1.7990383976351011D-13 log_rel_run_E_err -10.3315811783650968 (age_target - star_age)/age_sigma 300 68.6925783114 reducing max timestep prior to age target 300 4.4650175902384377D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 67.3576996149 reducing max timestep prior to age target 301 4.3782504749669981D+08 (age_target - star_age)/age_sigma 302 66.0495184923 reducing max timestep prior to age target 302 4.2932187020009899D+08 (age_target - star_age)/age_sigma 303 64.7675009922 reducing max timestep prior to age target 303 4.2098875644942999D+08 (age_target - star_age)/age_sigma 304 63.5111238421 reducing max timestep prior to age target 304 4.1282230497377443D+08 (age_target - star_age)/age_sigma 305 62.2798742350 reducing max timestep prior to age target 305 4.0481918252763224D+08 (age_target - star_age)/age_sigma 306 61.0732496201 reducing max timestep prior to age target 306 3.9697612253041267D+08 (age_target - star_age)/age_sigma 307 59.8907574974 reducing max timestep prior to age target 307 3.8928992373313713D+08 (age_target - star_age)/age_sigma 308 58.7319152172 reducing max timestep prior to age target 308 3.8175744891180706D+08 (age_target - star_age)/age_sigma 309 57.5962497826 reducing max timestep prior to age target 309 3.7437562358690405D+08 310 7.176960 5646.812 -0.052734 -0.052734 1.000000 1.000000 0.409817 0.005193 0.240398 -1.542851 509 1 6.8594E+00 7.176960 -0.007289 -43.671621 -1.689488 -99.000000 0.000000 0.569841 0.009030 0.017737 0.112541 5 4.2024E+09 2.125189 -0.052672 -99.000000 -99.000000 -6.886268 0.000000 0.000019 0.002064 0.020342 0.000E+00 max_dt rel_E_err 1.8649159983348420D-13 log_rel_run_E_err -10.3146787577836179 (age_target - star_age)/age_sigma 310 56.4832976567 reducing max timestep prior to age target 310 3.6714143476849890D+08 (age_target - star_age)/age_sigma 311 55.3926045733 reducing max timestep prior to age target 311 3.6005192972646189D+08 (age_target - star_age)/age_sigma 312 54.3237253516 reducing max timestep prior to age target 312 3.5310421478526592D+08 (age_target - star_age)/age_sigma 313 53.2762237143 reducing max timestep prior to age target 313 3.4629545414289331D+08 (age_target - star_age)/age_sigma 314 52.2496721097 reducing max timestep prior to age target 314 3.3962286871336889D+08 (age_target - star_age)/age_sigma 315 51.2436515373 reducing max timestep prior to age target 315 3.3308373499243450D+08 (age_target - star_age)/age_sigma 316 50.2577513763 reducing max timestep prior to age target 316 3.2667538394591904D+08 (age_target - star_age)/age_sigma 318 48.3253870607 reducing max timestep prior to age target 318 3.1411501589474821D+08 (age_target - star_age)/age_sigma 319 47.3785285461 reducing max timestep prior to age target 319 3.0796043554967499D+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 1.7483194278577265D-13 log_rel_run_E_err -10.2985071407057536 (age_target - star_age)/age_sigma 320 46.4506072018 reducing max timestep prior to age target 320 3.0192894681150246D+08 (age_target - star_age)/age_sigma 321 45.5412442843 reducing max timestep prior to age target 321 2.9601808784809399D+08 (age_target - star_age)/age_sigma 322 44.6500686252 reducing max timestep prior to age target 322 2.9022544606395292D+08 (age_target - star_age)/age_sigma 323 43.7767164793 reducing max timestep prior to age target 323 2.8454865711549520D+08 (age_target - star_age)/age_sigma 324 42.9208313763 reducing max timestep prior to age target 324 2.7898540394600677D+08 (age_target - star_age)/age_sigma 325 42.0820639754 reducing max timestep prior to age target 325 2.7353341583990765D+08 (age_target - star_age)/age_sigma 326 41.2600719225 reducing max timestep prior to age target 326 2.6819046749593067D+08 (age_target - star_age)/age_sigma 327 40.4545197106 reducing max timestep prior to age target 327 2.6295437811883354D+08 (age_target - star_age)/age_sigma 328 39.6650785430 reducing max timestep prior to age target 328 2.5782301052927780D+08 (age_target - star_age)/age_sigma 329 38.8914261987 reducing max timestep prior to age target 329 2.5279427029151440D+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 -15.954590 -99.000000 -6.888990 0.000000 0.000019 0.002066 0.020353 0.000E+00 max_dt rel_E_err 1.8444696572753892D-13 log_rel_run_E_err -10.2830406885153156 (age_target - star_age)/age_sigma 330 38.1332469013 reducing max timestep prior to age target 330 2.4786610485850525D+08 (age_target - star_age)/age_sigma 331 37.3902311899 reducing max timestep prior to age target 331 2.4303650273415661D+08 (age_target - star_age)/age_sigma 332 36.6620757927 reducing max timestep prior to age target 332 2.3830349265229511D+08 (age_target - star_age)/age_sigma 333 35.9484835034 reducing max timestep prior to age target 333 2.3366514277206993D+08 (age_target - star_age)/age_sigma 334 35.2491630599 reducing max timestep prior to age target 334 2.2911955988945007D+08 (age_target - star_age)/age_sigma 335 34.5638290253 reducing max timestep prior to age target 335 2.2466488866448212D+08 (age_target - star_age)/age_sigma 336 33.8922016714 reducing max timestep prior to age target 336 2.2029931086401367D+08 (age_target - star_age)/age_sigma 337 33.2340068645 reducing max timestep prior to age target 337 2.1602104461955452D+08 (age_target - star_age)/age_sigma 338 32.5889759538 reducing max timestep prior to age target 338 2.1182834369998550D+08 (age_target - star_age)/age_sigma 339 31.9568456614 reducing max timestep prior to age target 339 2.0771949679880714D+08 340 7.179639 5650.231 -0.047385 -0.047385 1.000000 1.000000 0.396871 0.005227 0.239504 -1.535850 511 1 6.6049E+00 7.179639 -0.005141 -43.495427 -1.681179 -99.000000 0.000000 0.582772 0.009005 0.017679 0.114110 5 4.3658E+09 2.136034 -0.047324 -15.954590 -99.000000 -6.890006 0.000000 0.000019 0.002066 0.020357 0.000E+00 max_dt rel_E_err 1.8827006572080179D-13 log_rel_run_E_err -10.2676470898101755 (age_target - star_age)/age_sigma 340 31.3373579747 reducing max timestep prior to age target 340 2.0369282683565235D+08 (age_target - star_age)/age_sigma 341 30.7302600418 reducing max timestep prior to age target 341 1.9974669027176094D+08 (age_target - star_age)/age_sigma 342 30.1353040676 reducing max timestep prior to age target 342 1.9587947643914700D+08 (age_target - star_age)/age_sigma 343 29.5522472128 reducing max timestep prior to age target 343 1.9208960688318539D+08 (age_target - star_age)/age_sigma 344 28.9808514951 reducing max timestep prior to age target 344 1.8837553471834278D+08 (age_target - star_age)/age_sigma 345 28.4208836918 reducing max timestep prior to age target 345 1.8473574399679756D+08 (age_target - star_age)/age_sigma 346 27.8721152446 reducing max timestep prior to age target 346 1.8116874908968258D+08 (age_target - star_age)/age_sigma 347 27.3343221663 reducing max timestep prior to age target 347 1.7767309408071041D+08 (age_target - star_age)/age_sigma 348 26.8072849495 reducing max timestep prior to age target 348 1.7424735217191696D+08 (age_target - star_age)/age_sigma 349 26.2907884771 reducing max timestep prior to age target 349 1.7089012510130024D+08 350 7.180239 5650.972 -0.046197 -0.046197 1.000000 1.000000 0.394000 0.005235 0.239309 -1.534283 511 1 6.5172E+00 7.180239 -0.004662 -43.456190 -1.679311 -99.000000 0.000000 0.585639 0.008999 0.017666 0.114466 5 4.4019E+09 2.138457 -0.046137 -15.954590 -99.000000 -6.890836 0.000000 0.000019 0.002067 0.020361 0.000E+00 max_dt rel_E_err 1.8093859732529403D-13 log_rel_run_E_err -10.2530353825748541 (age_target - star_age)/age_sigma 350 25.7846219342 reducing max timestep prior to age target 350 1.6760004257209587D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 25.2885787221 reducing max timestep prior to age target 351 1.6437576169347572D+08 (age_target - star_age)/age_sigma 353 24.3163340264 reducing max timestep prior to age target 353 1.5805617117137909D+08 (age_target - star_age)/age_sigma 354 23.8399341255 reducing max timestep prior to age target 354 1.5495957181555176D+08 (age_target - star_age)/age_sigma 355 23.3730622226 reducing max timestep prior to age target 355 1.5192490444684124D+08 (age_target - star_age)/age_sigma 356 22.9155277578 reducing max timestep prior to age target 356 1.4895093042550468D+08 (age_target - star_age)/age_sigma 357 22.4671439822 reducing max timestep prior to age target 357 1.4603643588459587D+08 (age_target - star_age)/age_sigma 358 22.0277278822 reducing max timestep prior to age target 358 1.4318023123450375D+08 (age_target - star_age)/age_sigma 359 21.5971001042 reducing max timestep prior to age target 359 1.4038115067741394D+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 -99.000000 -99.000000 -6.891525 0.000000 0.000019 0.002067 0.020363 0.000E+00 max_dt rel_E_err 1.9035432389002019D-13 log_rel_run_E_err -10.2390249246872038 (age_target - star_age)/age_sigma 360 21.1750848818 reducing max timestep prior to age target 360 1.3763805173146629D+08 (age_target - star_age)/age_sigma 361 20.7615099638 reducing max timestep prior to age target 361 1.3494981476443768D+08 (age_target - star_age)/age_sigma 362 20.3562065441 reducing max timestep prior to age target 362 1.3231534253674889D+08 (age_target - star_age)/age_sigma 363 19.9590091929 reducing max timestep prior to age target 363 1.2973355975361443D+08 (age_target - star_age)/age_sigma 364 19.5697557886 reducing max timestep prior to age target 364 1.2720341262614250D+08 (age_target - star_age)/age_sigma 365 19.1882874525 reducing max timestep prior to age target 365 1.2472386844122028D+08 (age_target - star_age)/age_sigma 366 18.8144484831 reducing max timestep prior to age target 366 1.2229391513999557D+08 (age_target - star_age)/age_sigma 367 18.4480862930 reducing max timestep prior to age target 367 1.1991256090479660D+08 (age_target - star_age)/age_sigma 368 18.0890513468 reducing max timestep prior to age target 368 1.1757883375430107D+08 (age_target - star_age)/age_sigma 369 17.7371970995 reducing max timestep prior to age target 369 1.1529178114681530D+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 1.7681274915032264D-13 log_rel_run_E_err -10.2254649399618867 (age_target - star_age)/age_sigma 370 17.3923799372 reducing max timestep prior to age target 370 1.1305046959147930D+08 (age_target - star_age)/age_sigma 371 17.0544591180 reducing max timestep prior to age target 371 1.1085398426725006D+08 (age_target - star_age)/age_sigma 372 16.7232967153 reducing max timestep prior to age target 372 1.0870142864950562D+08 (age_target - star_age)/age_sigma 373 16.3987575606 reducing max timestep prior to age target 373 1.0659192414411545D+08 (age_target - star_age)/age_sigma 374 16.0807091891 reducing max timestep prior to age target 374 1.0452460972883415D+08 (age_target - star_age)/age_sigma 375 15.7690217849 reducing max timestep prior to age target 375 1.0249864160185814D+08 (age_target - star_age)/age_sigma 376 15.4635681288 reducing max timestep prior to age target 376 1.0051319283742046D+08 (age_target - star_age)/age_sigma 377 15.1642235459 reducing max timestep prior to age target 377 9.8567453048273087D+07 (age_target - star_age)/age_sigma 378 14.8708658546 reducing max timestep prior to age target 378 9.6660628054907799D+07 (age_target - star_age)/age_sigma 379 14.5833753171 reducing max timestep prior to age target 379 9.4791939561409950D+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 -15.653560 -99.000000 -6.892555 0.000000 0.000019 0.002068 0.020367 0.000E+00 max_dt rel_E_err 1.8409019853841537D-13 log_rel_run_E_err -10.2123469131736169 (age_target - star_age)/age_sigma 380 14.3016345904 reducing max timestep prior to age target 380 9.2960624837781906D+07 (age_target - star_age)/age_sigma 381 14.0255286783 reducing max timestep prior to age target 381 9.1165936408627510D+07 (age_target - star_age)/age_sigma 382 13.7549448843 reducing max timestep prior to age target 382 8.9407141748055458D+07 (age_target - star_age)/age_sigma 383 13.4897727663 reducing max timestep prior to age target 383 8.7683522980694771D+07 (age_target - star_age)/age_sigma 384 13.2299040906 reducing max timestep prior to age target 384 8.5994376588681221D+07 (age_target - star_age)/age_sigma 385 12.9752327884 reducing max timestep prior to age target 385 8.4339013124507904D+07 (age_target - star_age)/age_sigma 386 12.7256549122 reducing max timestep prior to age target 386 8.2716756929617882D+07 (age_target - star_age)/age_sigma 388 12.2364822750 reducing max timestep prior to age target 388 7.9537134787633896D+07 (age_target - star_age)/age_sigma 389 11.9967876828 reducing max timestep prior to age target 389 7.7979119938061714D+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 -15.954590 -99.000000 -6.892936 0.000000 0.000019 0.002068 0.020369 0.000E+00 max_dt rel_E_err 1.7570820437528396D-13 log_rel_run_E_err -10.1995964691761447 (age_target - star_age)/age_sigma 390 11.7618869824 reducing max timestep prior to age target 390 7.6452265385480881D+07 (age_target - star_age)/age_sigma 391 11.5316842960 reducing max timestep prior to age target 391 7.4955947923952103D+07 (age_target - star_age)/age_sigma 392 11.3060856633 reducing max timestep prior to age target 392 7.3489556811653137D+07 (age_target - star_age)/age_sigma 393 11.0849990033 reducing max timestep prior to age target 393 7.2052493521600723D+07 (age_target - star_age)/age_sigma 394 10.8683340765 reducing max timestep prior to age target 394 7.0644171497349739D+07 (age_target - star_age)/age_sigma 395 10.6560024482 reducing max timestep prior to age target 395 6.9264015913582802D+07 (age_target - star_age)/age_sigma 396 10.4479174525 reducing max timestep prior to age target 396 6.7911463441492081D+07 (age_target - star_age)/age_sigma 397 10.2439941567 reducing max timestep prior to age target 397 6.6585962018842697D+07 (age_target - star_age)/age_sigma 398 10.0441493269 reducing max timestep prior to age target 398 6.5286970624646187D+07 (age_target - star_age)/age_sigma 399 9.8483013936 reducing max timestep prior to age target 399 6.4013959058334351D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.181997 5653.100 -0.042734 -0.042734 1.000000 1.000000 0.385638 0.005259 0.238746 -1.529696 511 1 6.0961E+00 7.181997 -0.003258 -43.341508 -1.673814 -99.000000 0.000000 0.593992 0.008979 0.017629 0.115516 5 4.5067E+09 2.145552 -0.042675 -15.477469 -99.000000 -6.893253 0.000000 0.000019 0.002068 0.020370 0.000E+00 max_dt rel_E_err 1.9436013066036408D-13 log_rel_run_E_err -10.1870651288625211 (age_target - star_age)/age_sigma 400 9.6563704190 reducing max timestep prior to age target 400 6.2766407723347664D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 9.4682780639 reducing max timestep prior to age target 401 6.1543807415060997D+07 (age_target - star_age)/age_sigma 402 9.2839475558 reducing max timestep prior to age target 402 6.0345659112940788D+07 (age_target - star_age)/age_sigma 403 9.1033036580 reducing max timestep prior to age target 403 5.9171473776862144D+07 (age_target - star_age)/age_sigma 404 8.9262726381 reducing max timestep prior to age target 404 5.8020772147504807D+07 (age_target - star_age)/age_sigma 405 8.7527822386 reducing max timestep prior to age target 405 5.6893084550735474D+07 (age_target - star_age)/age_sigma 406 8.5827616471 reducing max timestep prior to age target 406 5.5787950705901146D+07 (age_target - star_age)/age_sigma 407 8.4161414674 reducing max timestep prior to age target 407 5.4704919537963867D+07 (age_target - star_age)/age_sigma 408 8.2528536913 reducing max timestep prior to age target 408 5.3643548993385315D+07 (age_target - star_age)/age_sigma 409 8.0928316707 reducing max timestep prior to age target 409 5.2603405859698296D+07 410 7.182186 5653.324 -0.042364 -0.042364 1.000000 1.000000 0.384744 0.005262 0.238686 -1.529203 511 1 6.0083E+00 7.182186 -0.003107 -43.329211 -1.673221 -99.000000 0.000000 0.594886 0.008977 0.017625 0.115630 3 4.5179E+09 2.146314 -0.042305 -99.000000 -99.000000 -6.893511 0.000000 0.000019 0.002068 0.020371 0.000E+00 max_dt rel_E_err 1.8898664381646722D-13 log_rel_run_E_err -10.1749274863138517 (age_target - star_age)/age_sigma 410 7.9360100906 reducing max timestep prior to age target 410 5.1584065588685036D+07 (age_target - star_age)/age_sigma 411 7.7823249420 reducing max timestep prior to age target 411 5.0585112123091698D+07 (age_target - star_age)/age_sigma 412 7.6317134964 reducing max timestep prior to age target 412 4.9606137726810455D+07 (age_target - star_age)/age_sigma 413 7.4841142798 reducing max timestep prior to age target 413 4.8646742818454742D+07 (age_target - star_age)/age_sigma 414 7.3394670474 reducing max timestep prior to age target 414 4.7706535808266640D+07 (age_target - star_age)/age_sigma 415 7.1977127597 reducing max timestep prior to age target 415 4.6785132938282013D+07 (age_target - star_age)/age_sigma 416 7.0587935578 reducing max timestep prior to age target 416 4.5882158125697136D+07 (age_target - star_age)/age_sigma 417 6.9226527399 reducing max timestep prior to age target 417 4.4997242809363365D+07 (age_target - star_age)/age_sigma 418 6.7892347384 reducing max timestep prior to age target 418 4.4130025799356461D+07 (age_target - star_age)/age_sigma 419 6.6584850969 reducing max timestep prior to age target 419 4.3280153129549980D+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 1.8125604930699717D-13 log_rel_run_E_err -10.1630774339424068 (age_target - star_age)/age_sigma 420 6.5303504482 reducing max timestep prior to age target 420 4.2447277913139343D+07 (age_target - star_age)/age_sigma 422 6.2792065368 reducing max timestep prior to age target 422 4.0814842488975525D+07 (age_target - star_age)/age_sigma 423 6.1561460202 reducing max timestep prior to age target 423 4.0014949131134987D+07 (age_target - star_age)/age_sigma 424 6.0355467139 reducing max timestep prior to age target 424 3.9231053640451431D+07 (age_target - star_age)/age_sigma 425 5.9173593938 reducing max timestep prior to age target 425 3.8462836059580803D+07 (age_target - star_age)/age_sigma 426 5.8015358201 reducing max timestep prior to age target 426 3.7709982830327988D+07 (age_target - star_age)/age_sigma 427 5.6880287178 reducing max timestep prior to age target 427 3.6972186665660858D+07 (age_target - star_age)/age_sigma 428 5.5767917576 reducing max timestep prior to age target 428 3.6249146424285889D+07 (age_target - star_age)/age_sigma 429 5.4677795366 reducing max timestep prior to age target 429 3.5540566987739563D+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 -99.000000 -99.000000 -6.893899 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 1.7116799684936808D-13 log_rel_run_E_err -10.1516666762872259 (age_target - star_age)/age_sigma 430 5.3609475600 reducing max timestep prior to age target 430 3.4846159139923096D+07 (age_target - star_age)/age_sigma 431 5.2562522229 reducing max timestep prior to age target 431 3.4165639449064255D+07 (age_target - star_age)/age_sigma 432 5.1536507926 reducing max timestep prior to age target 432 3.3498730152021408D+07 (age_target - star_age)/age_sigma 433 5.0531013909 reducing max timestep prior to age target 433 3.2845159040919304D+07 (age_target - star_age)/age_sigma 434 4.9540209715 remaining steps and years until age target 434 50 3.2201136314627647D+07 (age_target - star_age)/age_sigma 435 4.8549405521 reducing max timestep prior to age target 435 3.1557113588335037D+07 (age_target - star_age)/age_sigma 436 4.7558601326 reducing max timestep prior to age target 436 3.0913090862042427D+07 (age_target - star_age)/age_sigma 437 4.6567797132 reducing max timestep prior to age target 437 3.0269068135749817D+07 (age_target - star_age)/age_sigma 438 4.5576992938 reducing max timestep prior to age target 438 2.9625045409457207D+07 (age_target - star_age)/age_sigma 439 4.4586188743 reducing max timestep prior to age target 439 2.8981022683164597D+07 440 7.182580 5653.790 -0.041592 -0.041592 1.000000 1.000000 0.382883 0.005268 0.238562 -1.528177 511 1 5.8089E+00 7.182580 -0.002793 -43.303608 -1.671985 -99.000000 0.000000 0.596744 0.008973 0.017617 0.115868 3 4.5412E+09 2.147901 -0.041534 -99.000000 -99.000000 -6.894049 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt rel_E_err 1.9239701231230559D-13 log_rel_run_E_err -10.1405813189654754 (age_target - star_age)/age_sigma 440 4.3595384549 reducing max timestep prior to age target 440 2.8336999956871986D+07 (age_target - star_age)/age_sigma 441 4.2604580355 reducing max timestep prior to age target 441 2.7692977230579376D+07 (age_target - star_age)/age_sigma 442 4.1613776160 remaining steps and years until age target 442 42 2.7048954504287720D+07 (age_target - star_age)/age_sigma 443 4.0622971966 reducing max timestep prior to age target 443 2.6404931777995110D+07 (age_target - star_age)/age_sigma 444 3.9632167772 reducing max timestep prior to age target 444 2.5760909051702499D+07 (age_target - star_age)/age_sigma 445 3.8641363578 reducing max timestep prior to age target 445 2.5116886325409889D+07 (age_target - star_age)/age_sigma 446 3.7650559383 reducing max timestep prior to age target 446 2.4472863599117279D+07 (age_target - star_age)/age_sigma 447 3.6659755189 reducing max timestep prior to age target 447 2.3828840872824669D+07 (age_target - star_age)/age_sigma 448 3.5668950995 reducing max timestep prior to age target 448 2.3184818146532059D+07 (age_target - star_age)/age_sigma 449 3.4678146800 reducing max timestep prior to age target 449 2.2540795420239449D+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 1.7823511247771917D-13 log_rel_run_E_err -10.1296782281952460 (age_target - star_age)/age_sigma 450 3.3687342606 remaining steps and years until age target 450 34 2.1896772693947792D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 3.2696538412 reducing max timestep prior to age target 451 2.1252749967655182D+07 (age_target - star_age)/age_sigma 452 3.1705734217 reducing max timestep prior to age target 452 2.0608727241362572D+07 (age_target - star_age)/age_sigma 453 3.0714930023 reducing max timestep prior to age target 453 1.9964704515069962D+07 (age_target - star_age)/age_sigma 454 2.9724125829 reducing max timestep prior to age target 454 1.9320681788777351D+07 (age_target - star_age)/age_sigma 455 2.8733321635 reducing max timestep prior to age target 455 1.8676659062484741D+07 (age_target - star_age)/age_sigma 456 2.7742517440 reducing max timestep prior to age target 456 1.8032636336192131D+07 (age_target - star_age)/age_sigma 457 2.6751713246 reducing max timestep prior to age target 457 1.7388613609899521D+07 (age_target - star_age)/age_sigma 458 2.5760909052 reducing max timestep prior to age target 458 1.6744590883606911D+07 (age_target - star_age)/age_sigma 459 2.4770104857 remaining steps and years until age target 459 25 1.6100568157315254D+07 460 7.182799 5654.048 -0.041164 -0.041164 1.000000 1.000000 0.381852 0.005271 0.238493 -1.527607 511 1 5.8089E+00 7.182799 -0.002619 -43.289398 -1.671298 -99.000000 0.000000 0.597775 0.008970 0.017612 0.116000 3 4.5540E+09 2.148782 -0.041106 -99.000000 -99.000000 -6.894347 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt rel_E_err 1.7930189960365479D-13 log_rel_run_E_err -10.1187831563689610 (age_target - star_age)/age_sigma 460 2.3779300663 remaining steps and years until age target 460 24 1.5456545431022644D+07 (age_target - star_age)/age_sigma 461 2.2788496469 remaining steps and years until age target 461 23 1.4812522704730034D+07 (age_target - star_age)/age_sigma 462 2.1797692275 remaining steps and years until age target 462 22 1.4168499978437424D+07 (age_target - star_age)/age_sigma 463 2.0806888080 remaining steps and years until age target 463 21 1.3524477252144814D+07 (age_target - star_age)/age_sigma 464 1.9816083886 remaining steps and years until age target 464 20 1.2880454525852203D+07 (age_target - star_age)/age_sigma 465 1.8825279692 remaining steps and years until age target 465 19 1.2236431799559593D+07 (age_target - star_age)/age_sigma 466 1.7834475497 remaining steps and years until age target 466 18 1.1592409073266983D+07 (age_target - star_age)/age_sigma 467 1.6843671303 remaining steps and years until age target 467 17 1.0948386346975327D+07 (age_target - star_age)/age_sigma 468 1.5852867109 remaining steps and years until age target 468 16 1.0304363620682716D+07 (age_target - star_age)/age_sigma 469 1.4862062914 remaining steps and years until age target 469 15 9.6603408943901062D+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 1.8701717073137537D-13 log_rel_run_E_err -10.1083477887493256 (age_target - star_age)/age_sigma 470 1.3871258720 remaining steps and years until age target 470 14 9.0163181680974960D+06 (age_target - star_age)/age_sigma 471 1.2880454526 remaining steps and years until age target 471 13 8.3722954418048859D+06 (age_target - star_age)/age_sigma 472 1.1889650332 remaining steps and years until age target 472 12 7.7282727155122757D+06 (age_target - star_age)/age_sigma 473 1.0898846137 remaining steps and years until age target 473 11 7.0842499892196655D+06 (age_target - star_age)/age_sigma 474 0.9908041943 remaining steps and years until age target 474 10 6.4402272629270554D+06 (age_target - star_age)/age_sigma 475 0.8917237749 remaining steps and years until age target 475 9 5.7962045366353989D+06 (age_target - star_age)/age_sigma 476 0.7926433554 reducing max timestep prior to age target 476 5.1521818103418350D+06 (age_target - star_age)/age_sigma 477 0.6935629360 remaining steps and years until age target 477 7 4.5081590840492249D+06 (age_target - star_age)/age_sigma 478 0.5944825166 remaining steps and years until age target 478 6 3.8641363577566147D+06 (age_target - star_age)/age_sigma 479 0.4954020971 remaining steps and years until age target 479 5 3.2201136314640045D+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 1.8250760008633369D-13 log_rel_run_E_err -10.0981824330599252 (age_target - star_age)/age_sigma 480 0.3963216777 remaining steps and years until age target 480 4 2.5760909051713943D+06 model saved to final.mod save photos/x480 for model 480 (age_target - star_age)/age_sigma 481 0.2972412583 reducing max timestep prior to age target 481 1.9320681788778305D+06 (age_target - star_age)/age_sigma 482 0.1981608389 remaining steps and years until age target 482 2 1.2880454525852203D+06 (age_target - star_age)/age_sigma 483 0.0990804194 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 2.05 1 484 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 484 7.183062 5654.358 -0.040650 -0.040650 1.000000 1.000000 0.380613 0.005275 0.238411 -1.526923 511 1 5.8089E+00 7.183062 -0.002410 -43.272324 -1.670471 -99.000000 0.000000 0.599012 0.008967 0.017607 0.116159 3 4.5695E+09 2.149841 -0.040592 -15.255620 -99.000000 -6.894704 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt rel_E_err 1.7864503798541579D-13 log_rel_run_E_err -10.0942300617333292 Teff 5654.3575099492 radius 0.9944671034 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 30.6129453378 M_H 0.0137194191 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 188.2224592596 log_R -0.0024095786 delta_nu 142.6734830869 nu_max 3144.5557719867 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 333406.2784681991 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 "9dea5ab" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20251009" "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 3.3333875998557935E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615172900E+03 1.0010042019471497E+00 3.9078811634217052E-03 4.3590053489322983E-04 1.4131272100404678E+02 3.1134409186022872E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557935E+05 0 0 0 0 0 0 0 4 3.3337679267851578E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620724863E+03 1.0114129282000397E+00 3.5086385976877904E-04 4.9285006214752139E-03 1.3913658568070426E+02 3.0234851123029280E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851578E+05 0 0 0 0 0 0 0 8 3.3340627846819913E+05 1.0000000000000000E+00 2.6392348767542978E-01 6.8730947587493041E-02 2.1110729980030487E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.6543575099492473E+03 9.9446710335015831E-01 1.3719419056926674E-02 -2.4095786228021912E-03 1.4267348308691959E+02 3.1445557719867375E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3340627846819913E+05 0 0 0 0 0 0 0 1 3.3351283960191562E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383755896E+03 1.0231407131232713E+00 -1.7395981987816708E-03 9.9353665865147631E-03 1.3680762272707830E+02 2.9640776267841038E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191562E+05 0 0 0 0 0 0 0 3 3.3365606602478313E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078364049E+03 1.0099970103005844E+00 2.9466215559506938E-02 4.3200882263252959E-03 1.3947582155337045E+02 3.0536692076816480E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602478313E+05 0 0 0 0 0 0 0 7 3.3407039377752919E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770902093E+03 1.0465194169960850E+00 -6.8647778501495244E-03 1.9747290597328077E-02 1.3234565759150846E+02 2.8509534669602235E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377752919E+05 0 0 0 0 0 0 0 6 3.3418048986542737E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558232011E+03 1.0372797593385101E+00 -3.3936545786878013E-02 1.5895903497250979E-02 1.3402431816166543E+02 2.8735532959087386E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986542737E+05 0 0 0 0 0 0 0 2 3.3468070564326667E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399265890E+03 1.0622782375811581E+00 -1.2788199778892683E-02 2.6238284372221875E-02 1.2938435093838254E+02 2.7294282123468802E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564326667E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data DATE: 2025-10-09 TIME: 09:40:07 finished inlist_fast_newuoa_header DATE: 2025-10-09 TIME: 09:40:07 finished fast_newuoa run: test string matches after ./rn