DATE: 2025-03-07 TIME: 22:37:42 run inlist_fast_newuoa_header DATE: 2025-03-07 TIME: 22:37:42 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 /n/netscratch/conroy_lab/Lab/ebauer/mesa-git-tests/tmp.YzPpwnlhKA/data/rates_data/rate_tables/S13_r_be7_wk_li7.h5 version_number 0a89a8e read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 retry: max residual jumped -- give up in solver 5 10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1 -5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1 -5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1 -5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1 -5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2 4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0 -2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3 1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562810869851778D-01 20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0 7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246319607504208D-01 30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0 3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0 4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0 4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0 5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3 1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128500903204556D-08 finished relax to begin radiative core 66 2.4692958051424622D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1127416933281451D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 8 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.621787 4325.214 -4.903036 -4.903036 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 457 0 -4.2874E+00 6.621787 0.262613 -99.000000 -6.300784 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 10 2.5959E-04 0.156070 0.023950 -20.470040 -99.000000 -6.899727 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6951610849067104D-13 log_rel_run_E_err -11.5762518388221078 20 6.621787 4338.368 -4.903036 -4.903036 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 455 0 -3.4956E+00 6.621787 0.262629 -99.000000 -6.300785 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 1.8669E-03 0.156071 0.029257 -99.000000 -99.000000 -6.905564 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5666426911732906D-13 log_rel_run_E_err -11.2767490073696415 30 6.621788 4339.522 -4.903037 -4.903037 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 454 0 -2.7037E+00 6.621788 0.262636 -99.000000 -6.300785 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 1.1819E-02 0.156072 0.029733 -99.000000 -99.000000 -6.906078 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4921392712075265D-13 log_rel_run_E_err -11.1025691649662566 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 2.7305501780119340D-13 log_rel_run_E_err -10.9772976297982598 50 6.621789 4337.363 -4.903035 -4.903035 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028130 454 0 -1.1201E+00 6.621789 0.262627 -99.000000 -6.300783 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 4.5497E-01 0.156074 0.028851 -99.000000 -99.000000 -6.905122 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6076193949306629D-13 log_rel_run_E_err -10.8843393197716338 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 -99.000000 -99.000000 -6.905090 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6318320823029258D-13 log_rel_run_E_err -10.8053307663453584 70 6.621790 4337.291 -4.903025 -4.903025 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028126 454 0 4.6351E-01 6.621790 0.262625 -99.000000 -6.300773 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 1.7444E+01 0.156078 0.028819 -99.000000 -99.000000 -6.905088 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6355515390730316D-13 log_rel_run_E_err -10.7386233995992466 80 6.621795 4337.286 -4.902971 -4.902971 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028101 454 0 1.2553E+00 6.621795 0.262620 -99.000000 -6.300719 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 1.0801E+02 0.156096 0.028805 -20.293948 -99.000000 -6.905079 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5405258345996072D-13 log_rel_run_E_err -10.6807231441489154 90 6.621825 4337.251 -4.902637 -4.902637 1.000000 1.000000 0.711274 0.000946 0.270000 -4.027948 454 0 2.0471E+00 6.621825 0.262585 -99.000000 -6.300386 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 2 6.6878E+02 0.156207 0.028721 -20.771070 -99.000000 -6.905021 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.8159501062145080D-13 log_rel_run_E_err -10.6287608128745656 __________________________________________________________________________________________________________________________________________________ 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 2.4775820901254143D-13 log_rel_run_E_err -10.5841646870584096 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 -20.293948 -99.000000 -6.902474 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5996526164964141D-13 log_rel_run_E_err -10.5440359384709641 120 6.629865 4327.570 -4.812658 -4.812658 1.000000 1.000000 0.711274 0.000946 0.270000 -3.985727 454 0 4.4226E+00 6.629865 0.253108 -99.000000 -6.210400 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072280 3 1.5875E+05 0.186492 0.005886 -20.470040 -99.000000 -6.889335 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7205313447354731D-13 log_rel_run_E_err -10.4980482958195473 130 6.662087 4285.241 -4.441400 -4.441400 1.000000 1.000000 0.711274 0.000946 0.270000 -3.789459 454 0 5.2144E+00 6.662087 0.213519 -99.000000 -5.839107 -99.000000 0.000000 0.270000 0.008783 0.018726 0.074323 4 9.8295E+05 0.319478 -0.090367 -19.867980 -99.000000 -6.821859 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6214616064113887D-13 log_rel_run_E_err -10.2074125386111678 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 2.3282676373846172D-13 log_rel_run_E_err -10.2926609868048136 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 2.0896560625758721D-13 log_rel_run_E_err -10.3293972660031130 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 1.6124653641317698D-13 log_rel_run_E_err -10.4733099766934714 (age_target - star_age)/age_sigma 169 694.4614868087 reducing max timestep prior to age target 169 4.5139996642565994D+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 1.9283045941738072D-13 log_rel_run_E_err -10.5048028100672113 (age_target - star_age)/age_sigma 176 680.1699322083 reducing max timestep prior to age target 176 4.4211045593538771D+09 (age_target - star_age)/age_sigma 179 665.7379903536 reducing max timestep prior to age target 179 4.3272969372983732D+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 1.8720778475531981D-13 log_rel_run_E_err -10.4815792049027117 (age_target - star_age)/age_sigma 181 650.6653337177 reducing max timestep prior to age target 181 4.2293246691648011D+09 (age_target - star_age)/age_sigma 182 640.7995948287 reducing max timestep prior to age target 182 4.1651973663864632D+09 (age_target - star_age)/age_sigma 184 616.6417643042 reducing max timestep prior to age target 184 4.0081714679774776D+09 (age_target - star_age)/age_sigma 185 604.5691993237 reducing max timestep prior to age target 185 3.9296997956039972D+09 (age_target - star_age)/age_sigma 186 592.7380856428 reducing max timestep prior to age target 186 3.8527975566779871D+09 (age_target - star_age)/age_sigma 187 581.1435942355 reducing max timestep prior to age target 187 3.7774333625304971D+09 (age_target - star_age)/age_sigma 188 569.7809926563 reducing max timestep prior to age target 188 3.7035764522659569D+09 (age_target - star_age)/age_sigma 189 558.6456431087 reducing max timestep prior to age target 189 3.6311966802067070D+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 -15.954590 -99.000000 -6.831122 0.000000 0.000014 0.001966 0.019398 0.000E+00 max_dt rel_E_err 1.9048367449419987D-13 log_rel_run_E_err -10.4586063881181950 (age_target - star_age)/age_sigma 190 547.7330005521 reducing max timestep prior to age target 190 3.5602645035886421D+09 (age_target - star_age)/age_sigma 191 537.0386108466 reducing max timestep prior to age target 191 3.4907509705029392D+09 (age_target - star_age)/age_sigma 192 526.5581089352 reducing max timestep prior to age target 192 3.4226277080789499D+09 (age_target - star_age)/age_sigma 193 516.2872170621 reducing max timestep prior to age target 193 3.3558669109034405D+09 (age_target - star_age)/age_sigma 194 506.2217430264 reducing max timestep prior to age target 194 3.2904413296714411D+09 (age_target - star_age)/age_sigma 195 496.3575784714 reducing max timestep prior to age target 195 3.2263242600640821D+09 (age_target - star_age)/age_sigma 196 486.6906972075 reducing max timestep prior to age target 196 3.1634895318488703D+09 (age_target - star_age)/age_sigma 197 477.2171535689 reducing max timestep prior to age target 197 3.1019114981979623D+09 (age_target - star_age)/age_sigma 198 467.9330808031 reducing max timestep prior to age target 198 3.0415650252200727D+09 (age_target - star_age)/age_sigma 199 458.8346894926 reducing max timestep prior to age target 199 2.9824254817017407D+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 1.7297639393413356D-13 log_rel_run_E_err -10.4376335919931424 (age_target - star_age)/age_sigma 200 449.9182660083 reducing max timestep prior to age target 200 2.9244687290537758D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.1801709937 reducing max timestep prior to age target 201 2.8676711114587698D+09 (age_target - star_age)/age_sigma 202 432.6168378793 reducing max timestep prior to age target 202 2.8120094462156639D+09 (age_target - star_age)/age_sigma 203 424.2247714273 reducing max timestep prior to age target 203 2.7574610142774200D+09 (age_target - star_age)/age_sigma 204 416.0005463043 reducing max timestep prior to age target 204 2.7040035509779415D+09 (age_target - star_age)/age_sigma 205 407.9408056838 reducing max timestep prior to age target 205 2.6516152369444523D+09 (age_target - star_age)/age_sigma 206 400.0422598756 reducing max timestep prior to age target 206 2.6002746891916327D+09 (age_target - star_age)/age_sigma 207 392.3016849837 reducing max timestep prior to age target 207 2.5499609523938694D+09 (age_target - star_age)/age_sigma 208 384.7159215895 reducing max timestep prior to age target 208 2.5006534903320618D+09 (age_target - star_age)/age_sigma 209 377.2818734633 reducing max timestep prior to age target 209 2.4523321775114903D+09 210 7.154393 5630.520 -0.087536 -0.087536 1.000000 1.000000 0.550563 0.004831 0.256246 -1.616765 514 0 7.6754E+00 7.154393 -0.022175 -45.292861 -1.744569 -99.000000 0.000000 0.429885 0.008849 0.017873 0.097724 10 2.1645E+09 2.020226 -0.087463 -15.653560 -99.000000 -6.854868 0.000000 0.000016 0.001981 0.019552 0.000E+00 max_dt rel_E_err 1.9533690090118579D-13 log_rel_run_E_err -10.4158269287137912 (age_target - star_age)/age_sigma 210 369.9965062996 reducing max timestep prior to age target 210 2.4049772909473300D+09 (age_target - star_age)/age_sigma 211 362.8568464791 reducing max timestep prior to age target 211 2.3585695021144528D+09 (age_target - star_age)/age_sigma 212 355.8599798551 reducing max timestep prior to age target 212 2.3130898690582337D+09 (age_target - star_age)/age_sigma 213 349.0030505636 reducing max timestep prior to age target 213 2.2685198286631384D+09 (age_target - star_age)/age_sigma 214 342.2832598578 reducing max timestep prior to age target 214 2.2248411890759454D+09 (age_target - star_age)/age_sigma 215 335.6978649662 reducing max timestep prior to age target 215 2.1820361222804966D+09 (age_target - star_age)/age_sigma 217 322.7904909787 reducing max timestep prior to age target 217 2.0981381913614159D+09 (age_target - star_age)/age_sigma 218 316.4658777248 reducing max timestep prior to age target 218 2.0570282052110667D+09 (age_target - star_age)/age_sigma 219 310.2677567360 reducing max timestep prior to age target 219 2.0167404187837238D+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 -15.954590 -99.000000 -6.864196 0.000000 0.000016 0.001987 0.019606 0.000E+00 max_dt rel_E_err 1.8884859238623322D-13 log_rel_run_E_err -10.3962393535786077 (age_target - star_age)/age_sigma 220 304.1935981669 reducing max timestep prior to age target 220 1.9772583880849280D+09 (age_target - star_age)/age_sigma 221 298.2409227692 reducing max timestep prior to age target 221 1.9385659980001087D+09 (age_target - star_age)/age_sigma 222 292.4073008795 reducing max timestep prior to age target 222 1.9006474557169852D+09 (age_target - star_age)/age_sigma 223 286.6903514276 reducing max timestep prior to age target 223 1.8634872842795243D+09 (age_target - star_age)/age_sigma 224 281.0877409647 reducing max timestep prior to age target 224 1.8270703162708130D+09 (age_target - star_age)/age_sigma 225 275.5971827111 reducing max timestep prior to age target 225 1.7913816876222754D+09 (age_target - star_age)/age_sigma 226 270.2164356226 reducing max timestep prior to age target 226 1.7564068315467086D+09 (age_target - star_age)/age_sigma 227 264.9433034758 reducing max timestep prior to age target 227 1.7221314725926533D+09 (age_target - star_age)/age_sigma 228 259.7756339720 reducing max timestep prior to age target 228 1.6885416208176794D+09 (age_target - star_age)/age_sigma 229 254.7113178582 reducing max timestep prior to age target 229 1.6556235660782046D+09 230 7.165666 5648.192 -0.063027 -0.063027 1.000000 1.000000 0.488307 0.004915 0.251320 -1.589186 512 0 7.5087E+00 7.165666 -0.012644 -44.496276 -1.711756 -99.000000 0.000000 0.492045 0.008829 0.017567 0.103283 10 2.9461E+09 2.066060 -0.062957 -99.000000 -99.000000 -6.872147 0.000000 0.000017 0.001992 0.019647 0.000E+00 max_dt rel_E_err 2.0221448679293705D-13 log_rel_run_E_err -10.3773390827481045 (age_target - star_age)/age_sigma 230 249.7482880667 reducing max timestep prior to age target 230 1.6233638724335194D+09 (age_target - star_age)/age_sigma 231 244.8845188710 reducing max timestep prior to age target 231 1.5917493726617279D+09 (age_target - star_age)/age_sigma 232 240.1180250593 reducing max timestep prior to age target 232 1.5607671628853722D+09 (age_target - star_age)/age_sigma 233 235.4468611238 reducing max timestep prior to age target 233 1.5304045973045440D+09 (age_target - star_age)/age_sigma 234 230.8691204670 reducing max timestep prior to age target 234 1.5006492830353317D+09 (age_target - star_age)/age_sigma 235 226.3829346233 reducing max timestep prior to age target 235 1.4714890750515041D+09 (age_target - star_age)/age_sigma 236 221.9864724965 reducing max timestep prior to age target 236 1.4429120712273526D+09 (age_target - star_age)/age_sigma 237 217.6779396123 reducing max timestep prior to age target 237 1.4149066074796848D+09 (age_target - star_age)/age_sigma 238 213.4555773857 reducing max timestep prior to age target 238 1.3874612530069699D+09 (age_target - star_age)/age_sigma 239 209.3176624036 reducing max timestep prior to age target 239 1.3605648056237092D+09 240 7.170115 5654.413 -0.053654 -0.053654 1.000000 1.000000 0.464861 0.004956 0.249558 -1.578185 515 0 7.4209E+00 7.170115 -0.008915 -44.191056 -1.698424 -99.000000 0.000000 0.515459 0.008809 0.017458 0.105600 10 3.2353E+09 2.084061 -0.053586 -15.653560 -99.000000 -6.878799 0.000000 0.000017 0.001996 0.019680 0.000E+00 max_dt rel_E_err 1.7552889201050953D-13 log_rel_run_E_err -10.3595058175621997 (age_target - star_age)/age_sigma 240 205.2625057212 reducing max timestep prior to age target 240 1.3342062871881142D+09 (age_target - star_age)/age_sigma 241 201.2884521725 reducing max timestep prior to age target 241 1.3083749391212306D+09 (age_target - star_age)/age_sigma 242 197.3938796947 reducing max timestep prior to age target 242 1.2830602180156846D+09 (age_target - star_age)/age_sigma 243 193.5771986665 reducing max timestep prior to age target 243 1.2582517913322496D+09 (age_target - star_age)/age_sigma 244 189.8368512588 reducing max timestep prior to age target 244 1.2339395331824837D+09 (age_target - star_age)/age_sigma 245 186.1713107993 reducing max timestep prior to age target 245 1.2101135201957130D+09 (age_target - star_age)/age_sigma 246 182.5790811490 reducing max timestep prior to age target 246 1.1867640274686780D+09 (age_target - star_age)/age_sigma 247 179.0586960917 reducing max timestep prior to age target 247 1.1638815245961833D+09 (age_target - star_age)/age_sigma 248 175.6087187356 reducing max timestep prior to age target 248 1.1414566717811384D+09 (age_target - star_age)/age_sigma 249 172.2277409265 reducing max timestep prior to age target 249 1.1194803160223942D+09 250 7.173870 5659.388 -0.045862 -0.045862 1.000000 1.000000 0.445516 0.004994 0.248034 -1.568847 515 0 7.3332E+00 7.173870 -0.005784 -43.936925 -1.686995 -99.000000 0.000000 0.534779 0.008786 0.017364 0.107617 10 3.4716E+09 2.099224 -0.045796 -15.255620 -99.000000 -6.884350 0.000000 0.000018 0.001999 0.019705 0.000E+00 max_dt rel_E_err 1.8022394355132130D-13 log_rel_run_E_err -10.3423660493538456 (age_target - star_age)/age_sigma 250 168.9143826737 reducing max timestep prior to age target 250 1.0979434873788252D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 252 162.4202004981 reducing max timestep prior to age target 252 1.0557313032374306D+09 (age_target - star_age)/age_sigma 253 159.2380512320 reducing max timestep prior to age target 253 1.0350473330081468D+09 (age_target - star_age)/age_sigma 254 156.1195449513 reducing max timestep prior to age target 254 1.0147770421834488D+09 (age_target - star_age)/age_sigma 255 153.0634087962 reducing max timestep prior to age target 255 9.9491215717524481D+08 (age_target - star_age)/age_sigma 256 150.0683953642 reducing max timestep prior to age target 256 9.7544456986720467D+08 (age_target - star_age)/age_sigma 257 147.1332822008 reducing max timestep prior to age target 257 9.5636633430532551D+08 (age_target - star_age)/age_sigma 258 144.2568713007 reducing max timestep prior to age target 258 9.3766966345468378D+08 (age_target - star_age)/age_sigma 259 141.4379886186 reducing max timestep prior to age target 259 9.1934692602105522D+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 1.9072265046417975D-13 log_rel_run_E_err -10.3254980945692640 (age_target - star_age)/age_sigma 260 138.6754835902 reducing max timestep prior to age target 260 9.0139064333609915D+08 (age_target - star_age)/age_sigma 261 135.9682286623 reducing max timestep prior to age target 261 8.8379348630484200D+08 (age_target - star_age)/age_sigma 262 133.3151188330 reducing max timestep prior to age target 262 8.6654827241420984D+08 (age_target - star_age)/age_sigma 263 130.7150712002 reducing max timestep prior to age target 263 8.4964796280139065D+08 (age_target - star_age)/age_sigma 264 128.1670245201 reducing max timestep prior to age target 264 8.3308565938082790D+08 (age_target - star_age)/age_sigma 265 125.6699387736 reducing max timestep prior to age target 265 8.1685460202867651D+08 (age_target - star_age)/age_sigma 266 123.2227947421 reducing max timestep prior to age target 266 8.0094816582356787D+08 (age_target - star_age)/age_sigma 267 120.8245935912 reducing max timestep prior to age target 267 7.8535985834256124D+08 (age_target - star_age)/age_sigma 268 118.4743564633 reducing max timestep prior to age target 268 7.7008331701117516D+08 (age_target - star_age)/age_sigma 269 116.1711240779 reducing max timestep prior to age target 269 7.5511230650641632D+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 -99.000000 -99.000000 -6.892913 0.000000 0.000018 0.002003 0.019740 0.000E+00 max_dt rel_E_err 1.9696591366622832D-13 log_rel_run_E_err -10.3085520626968172 (age_target - star_age)/age_sigma 270 113.9139563403 reducing max timestep prior to age target 270 7.4044071621175289D+08 (age_target - star_age)/age_sigma 271 111.7019319574 reducing max timestep prior to age target 271 7.2606255772298288D+08 (age_target - star_age)/age_sigma 272 109.5341480622 reducing max timestep prior to age target 272 7.1197196240398836D+08 (age_target - star_age)/age_sigma 273 107.4097198448 reducing max timestep prior to age target 273 6.9816317899137306D+08 (age_target - star_age)/age_sigma 274 105.3277801918 reducing max timestep prior to age target 274 6.8463057124701071D+08 (age_target - star_age)/age_sigma 275 103.2874793319 reducing max timestep prior to age target 275 6.7136861565753555D+08 (age_target - star_age)/age_sigma 276 101.2879844892 reducing max timestep prior to age target 276 6.5837189917984962D+08 (age_target - star_age)/age_sigma 277 99.3284795433 reducing max timestep prior to age target 277 6.4563511703171730D+08 (age_target - star_age)/age_sigma 278 97.4081646964 reducing max timestep prior to age target 278 6.3315307052654791D+08 (age_target - star_age)/age_sigma 279 95.5262561464 reducing max timestep prior to age target 279 6.2092066495148230D+08 280 7.182023 5669.128 -0.029357 -0.029357 1.000000 1.000000 0.404877 0.005094 0.245007 -1.548429 522 0 7.0787E+00 7.182023 0.000972 -43.395614 -1.661670 -99.000000 0.000000 0.575371 0.008714 0.017175 0.112199 5 3.9606E+09 2.132052 -0.029296 -15.176439 -99.000000 -6.896095 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.8252646973309397D-13 log_rel_run_E_err -10.2926045741454182 (age_target - star_age)/age_sigma 280 93.6819857674 reducing max timestep prior to age target 280 6.0893290748791742D+08 (age_target - star_age)/age_sigma 281 91.8746007959 reducing max timestep prior to age target 281 5.9718490517362404D+08 (age_target - star_age)/age_sigma 282 90.1033635239 reducing max timestep prior to age target 282 5.8567186290561628D+08 (age_target - star_age)/age_sigma 283 88.3675509974 reducing max timestep prior to age target 283 5.7438908148296833D+08 (age_target - star_age)/age_sigma 284 86.6664547213 reducing max timestep prior to age target 284 5.6333195568877411D+08 (age_target - star_age)/age_sigma 285 84.9993803708 reducing max timestep prior to age target 285 5.5249597241046381D+08 (age_target - star_age)/age_sigma 287 81.7319146438 reducing max timestep prior to age target 287 5.3125744518497515D+08 (age_target - star_age)/age_sigma 288 80.1308564376 reducing max timestep prior to age target 288 5.2085056684448624D+08 (age_target - star_age)/age_sigma 289 78.5618193955 reducing max timestep prior to age target 289 5.1065182607080650D+08 290 7.183903 5671.155 -0.025640 -0.025640 1.000000 1.000000 0.395759 0.005121 0.244356 -1.543695 522 0 6.9998E+00 7.183903 0.002520 -43.272676 -1.655741 -99.000000 0.000000 0.584480 0.008692 0.017135 0.113297 5 4.0688E+09 2.139607 -0.025580 -15.477469 -99.000000 -6.898729 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.9330548907479278D-13 log_rel_run_E_err -10.2767954158114261 (age_target - star_age)/age_sigma 290 77.0241630942 reducing max timestep prior to age target 290 5.0065706011260033D+08 (age_target - star_age)/age_sigma 291 75.5172599190 reducing max timestep prior to age target 291 4.9086218947355843D+08 (age_target - star_age)/age_sigma 292 74.0404948073 reducing max timestep prior to age target 292 4.8126321624729729D+08 (age_target - star_age)/age_sigma 293 72.5932649978 reducing max timestep prior to age target 293 4.7185622248556137D+08 (age_target - star_age)/age_sigma 294 71.1749797845 reducing max timestep prior to age target 294 4.6263736859906006D+08 (age_target - star_age)/age_sigma 295 69.7850602754 reducing max timestep prior to age target 295 4.5360289179028893D+08 (age_target - star_age)/age_sigma 296 68.4229391566 reducing max timestep prior to age target 296 4.4474910451769304D+08 (age_target - star_age)/age_sigma 297 67.0880604601 reducing max timestep prior to age target 297 4.3607239299054956D+08 (age_target - star_age)/age_sigma 298 65.7798793375 reducing max timestep prior to age target 298 4.2756921569394827D+08 (age_target - star_age)/age_sigma 299 64.4978618374 reducing max timestep prior to age target 299 4.1923610194327927D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.185481 5672.792 -0.022545 -0.022545 1.000000 1.000000 0.388179 0.005144 0.243822 -1.539733 522 0 6.9120E+00 7.185481 0.003816 -43.170018 -1.650739 -99.000000 0.000000 0.592053 0.008672 0.017101 0.114231 5 4.1584E+09 2.145933 -0.022487 -15.477469 -99.000000 -6.900918 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.8767213904629800D-13 log_rel_run_E_err -10.2620958297567437 (age_target - star_age)/age_sigma 300 63.2414846873 reducing max timestep prior to age target 300 4.1106965046762371D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0102350802 reducing max timestep prior to age target 301 4.0306652802148151D+08 (age_target - star_age)/age_sigma 302 60.8036104653 reducing max timestep prior to age target 302 3.9522346802426195D+08 (age_target - star_age)/age_sigma 303 59.6211183426 reducing max timestep prior to age target 303 3.8753726922698641D+08 (age_target - star_age)/age_sigma 304 58.4622760624 reducing max timestep prior to age target 304 3.8000479440565681D+08 (age_target - star_age)/age_sigma 305 57.3266106278 reducing max timestep prior to age target 305 3.7262296908075333D+08 (age_target - star_age)/age_sigma 306 56.2136585019 reducing max timestep prior to age target 306 3.6538878026234865D+08 (age_target - star_age)/age_sigma 307 55.1229654185 reducing max timestep prior to age target 307 3.5829927522031116D+08 (age_target - star_age)/age_sigma 308 54.0540861968 reducing max timestep prior to age target 308 3.5135156027911520D+08 (age_target - star_age)/age_sigma 309 53.0065845595 reducing max timestep prior to age target 309 3.4454279963674307D+08 310 7.186785 5674.117 -0.020002 -0.020002 1.000000 1.000000 0.381960 0.005165 0.243360 -1.536458 522 0 6.8243E+00 7.186785 0.004885 -43.085508 -1.646585 -99.000000 0.000000 0.598266 0.008654 0.017073 0.115011 5 4.2316E+09 2.151154 -0.019944 -15.653560 -99.000000 -6.902721 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.7630376395161839D-13 log_rel_run_E_err -10.2474677984491631 (age_target - star_age)/age_sigma 310 51.9800329550 reducing max timestep prior to age target 310 3.3787021420721817D+08 (age_target - star_age)/age_sigma 311 50.9740123825 reducing max timestep prior to age target 311 3.3133108048628378D+08 (age_target - star_age)/age_sigma 312 49.9881122215 reducing max timestep prior to age target 312 3.2492272943976831D+08 (age_target - star_age)/age_sigma 313 49.0219300637 reducing max timestep prior to age target 313 3.1864254541418314D+08 (age_target - star_age)/age_sigma 314 48.0750715491 reducing max timestep prior to age target 314 3.1248796506910944D+08 (age_target - star_age)/age_sigma 315 47.1471502048 reducing max timestep prior to age target 315 3.0645647633093739D+08 (age_target - star_age)/age_sigma 316 46.2377872873 reducing max timestep prior to age target 316 3.0054561736752844D+08 (age_target - star_age)/age_sigma 317 45.3466116282 reducing max timestep prior to age target 317 2.9475297558338785D+08 (age_target - star_age)/age_sigma 318 44.4732594823 reducing max timestep prior to age target 318 2.8907618663493013D+08 (age_target - star_age)/age_sigma 319 43.6173743793 reducing max timestep prior to age target 319 2.8351293346544123D+08 320 7.187860 5675.182 -0.017915 -0.017915 1.000000 1.000000 0.376862 0.005182 0.242980 -1.533760 522 0 6.7366E+00 7.187860 0.005764 -43.016019 -1.643145 -99.000000 0.000000 0.603359 0.008639 0.017049 0.115660 5 4.2914E+09 2.155456 -0.017858 -99.000000 -99.000000 -6.904202 0.000000 0.000020 0.002009 0.019779 0.000E+00 max_dt rel_E_err 1.8008705667424123D-13 log_rel_run_E_err -10.2331202989183119 (age_target - star_age)/age_sigma 321 41.9398395774 reducing max timestep prior to age target 321 2.7260895725324345D+08 (age_target - star_age)/age_sigma 322 41.1178475245 reducing max timestep prior to age target 322 2.6726600890926647D+08 (age_target - star_age)/age_sigma 323 40.3122953126 reducing max timestep prior to age target 323 2.6202991953216934D+08 (age_target - star_age)/age_sigma 324 39.5228541450 reducing max timestep prior to age target 324 2.5689855194261456D+08 (age_target - star_age)/age_sigma 325 38.7492018007 reducing max timestep prior to age target 325 2.5186981170485020D+08 (age_target - star_age)/age_sigma 326 37.9910225034 reducing max timestep prior to age target 326 2.4694164627184105D+08 (age_target - star_age)/age_sigma 327 37.2480067919 reducing max timestep prior to age target 327 2.4211204414749241D+08 (age_target - star_age)/age_sigma 328 36.5198513947 reducing max timestep prior to age target 328 2.3737903406563091D+08 (age_target - star_age)/age_sigma 329 35.8062591054 reducing max timestep prior to age target 329 2.3274068418540668D+08 330 7.188764 5676.059 -0.016170 -0.016170 1.000000 1.000000 0.372600 0.005198 0.242666 -1.531495 522 0 6.6576E+00 7.188764 0.006503 -42.957777 -1.640246 -99.000000 0.000000 0.607618 0.008625 0.017029 0.116210 5 4.3413E+09 2.159068 -0.016113 -99.000000 -99.000000 -6.905439 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.8451687719945163D-13 log_rel_run_E_err -10.2194840195567789 (age_target - star_age)/age_sigma 330 35.1069386620 reducing max timestep prior to age target 330 2.2819510130278587D+08 (age_target - star_age)/age_sigma 331 34.4216046274 reducing max timestep prior to age target 331 2.2374043007781792D+08 (age_target - star_age)/age_sigma 332 33.7499772734 reducing max timestep prior to age target 332 2.1937485227734947D+08 (age_target - star_age)/age_sigma 333 33.0917824666 reducing max timestep prior to age target 333 2.1509658603289032D+08 (age_target - star_age)/age_sigma 334 32.4467515559 reducing max timestep prior to age target 334 2.1090388511332130D+08 (age_target - star_age)/age_sigma 335 31.8146212634 reducing max timestep prior to age target 335 2.0679503821214294D+08 (age_target - star_age)/age_sigma 336 31.1951335768 reducing max timestep prior to age target 336 2.0276836824898815D+08 (age_target - star_age)/age_sigma 337 30.5880356439 reducing max timestep prior to age target 337 1.9882223168509674D+08 (age_target - star_age)/age_sigma 338 29.9930796696 reducing max timestep prior to age target 338 1.9495501785248280D+08 (age_target - star_age)/age_sigma 339 29.4100228148 reducing max timestep prior to age target 339 1.9116514829652119D+08 340 7.189507 5676.767 -0.014740 -0.014740 1.000000 1.000000 0.369110 0.005210 0.242411 -1.529633 522 0 6.5699E+00 7.189507 0.007109 -42.909981 -1.637856 -99.000000 0.000000 0.611105 0.008614 0.017014 0.116665 5 4.3820E+09 2.162036 -0.014684 -99.000000 -99.000000 -6.906452 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt rel_E_err 1.8852732390118749D-13 log_rel_run_E_err -10.2060838758631736 (age_target - star_age)/age_sigma 340 28.8386270972 reducing max timestep prior to age target 340 1.8745107613167858D+08 (age_target - star_age)/age_sigma 341 28.2786592939 reducing max timestep prior to age target 341 1.8381128541013336D+08 (age_target - star_age)/age_sigma 342 27.7298908466 reducing max timestep prior to age target 342 1.8024429050301838D+08 (age_target - star_age)/age_sigma 343 27.1920977683 reducing max timestep prior to age target 343 1.7674863549404621D+08 (age_target - star_age)/age_sigma 344 26.6650605516 reducing max timestep prior to age target 344 1.7332289358525276D+08 (age_target - star_age)/age_sigma 345 26.1485640792 reducing max timestep prior to age target 345 1.6996566651463604D+08 (age_target - star_age)/age_sigma 346 25.6423975362 reducing max timestep prior to age target 346 1.6667558398543167D+08 (age_target - star_age)/age_sigma 347 25.1463543241 reducing max timestep prior to age target 347 1.6345130310681152D+08 (age_target - star_age)/age_sigma 348 24.6602319763 reducing max timestep prior to age target 348 1.6029150784576321D+08 (age_target - star_age)/age_sigma 349 24.1838320754 reducing max timestep prior to age target 349 1.5719490848993587D+08 350 7.190118 5677.340 -0.013569 -0.013569 1.000000 1.000000 0.366252 0.005221 0.242204 -1.528104 522 0 6.4821E+00 7.190118 0.007607 -42.870787 -1.635888 -99.000000 0.000000 0.613961 0.008604 0.017001 0.117041 5 4.4153E+09 2.164473 -0.013514 -15.653560 -99.000000 -6.907280 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.8594074143855681D-13 log_rel_run_E_err -10.1931760041708159 (age_target - star_age)/age_sigma 350 23.7169601725 reducing max timestep prior to age target 350 1.5416024112122536D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2594257077 reducing max timestep prior to age target 351 1.5118626709988880D+08 (age_target - star_age)/age_sigma 352 22.8110419322 reducing max timestep prior to age target 352 1.4827177255897903D+08 (age_target - star_age)/age_sigma 353 22.3716258321 reducing max timestep prior to age target 353 1.4541556790888786D+08 (age_target - star_age)/age_sigma 354 21.9409980541 reducing max timestep prior to age target 354 1.4261648735179806D+08 (age_target - star_age)/age_sigma 355 21.5189828317 reducing max timestep prior to age target 355 1.3987338840585041D+08 (age_target - star_age)/age_sigma 357 20.6918329957 reducing max timestep prior to age target 357 1.3449691447179222D+08 (age_target - star_age)/age_sigma 358 20.2865295760 reducing max timestep prior to age target 358 1.3186244224410343D+08 (age_target - star_age)/age_sigma 359 19.8893322248 reducing max timestep prior to age target 359 1.2928065946096897D+08 360 7.190623 5677.808 -0.012603 -0.012603 1.000000 1.000000 0.363895 0.005230 0.242035 -1.526840 522 0 6.4031E+00 7.190623 0.008018 -42.838421 -1.634258 -99.000000 0.000000 0.616315 0.008596 0.016990 0.117354 5 4.4427E+09 2.166487 -0.012548 -15.954590 -99.000000 -6.907962 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.9294371605968506D-13 log_rel_run_E_err -10.1806641617210101 (age_target - star_age)/age_sigma 360 19.5000788205 reducing max timestep prior to age target 360 1.2675051233349705D+08 (age_target - star_age)/age_sigma 361 19.1186104844 reducing max timestep prior to age target 361 1.2427096814857483D+08 (age_target - star_age)/age_sigma 362 18.7447715150 reducing max timestep prior to age target 362 1.2184101484735107D+08 (age_target - star_age)/age_sigma 363 18.3784093249 reducing max timestep prior to age target 363 1.1945966061215115D+08 (age_target - star_age)/age_sigma 364 18.0193743787 reducing max timestep prior to age target 364 1.1712593346165562D+08 (age_target - star_age)/age_sigma 365 17.6675201314 reducing max timestep prior to age target 365 1.1483888085416985D+08 (age_target - star_age)/age_sigma 366 17.3227029691 reducing max timestep prior to age target 366 1.1259756929883385D+08 (age_target - star_age)/age_sigma 367 16.9847821499 reducing max timestep prior to age target 367 1.1040108397460461D+08 (age_target - star_age)/age_sigma 368 16.6536197472 reducing max timestep prior to age target 368 1.0824852835686016D+08 (age_target - star_age)/age_sigma 369 16.3290805925 reducing max timestep prior to age target 369 1.0613902385147095D+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 1.8291443012099215D-13 log_rel_run_E_err -10.1685352077835169 (age_target - star_age)/age_sigma 370 16.0110322210 reducing max timestep prior to age target 370 1.0407170943618870D+08 (age_target - star_age)/age_sigma 371 15.6993448168 reducing max timestep prior to age target 371 1.0204574130921268D+08 (age_target - star_age)/age_sigma 372 15.3938911607 reducing max timestep prior to age target 372 1.0006029254477596D+08 (age_target - star_age)/age_sigma 373 15.0945465778 reducing max timestep prior to age target 373 9.8114552755627632D+07 (age_target - star_age)/age_sigma 374 14.8011888865 reducing max timestep prior to age target 374 9.6207727762262344D+07 (age_target - star_age)/age_sigma 375 14.5136983490 reducing max timestep prior to age target 375 9.4339039268764496D+07 (age_target - star_age)/age_sigma 376 14.2319576223 reducing max timestep prior to age target 376 9.2507724545137405D+07 (age_target - star_age)/age_sigma 377 13.9558517102 reducing max timestep prior to age target 377 9.0713036115982056D+07 (age_target - star_age)/age_sigma 378 13.6852679162 reducing max timestep prior to age target 378 8.8954241455410004D+07 (age_target - star_age)/age_sigma 379 13.4200957982 reducing max timestep prior to age target 379 8.7230622688049316D+07 380 7.191386 5678.505 -0.011148 -0.011148 1.000000 1.000000 0.360346 0.005244 0.241781 -1.524930 522 0 6.2277E+00 7.191386 0.008638 -42.789595 -1.631791 -99.000000 0.000000 0.619862 0.008583 0.016974 0.117828 5 4.4840E+09 2.169529 -0.011094 -99.000000 -99.000000 -6.908990 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.8843402426700752D-13 log_rel_run_E_err -10.1566220428556999 (age_target - star_age)/age_sigma 380 13.1602271225 reducing max timestep prior to age target 380 8.5541476296035767D+07 (age_target - star_age)/age_sigma 381 12.9055558203 reducing max timestep prior to age target 381 8.3886112831862450D+07 (age_target - star_age)/age_sigma 382 12.6559779441 reducing max timestep prior to age target 382 8.2263856636972427D+07 (age_target - star_age)/age_sigma 383 12.4113916255 reducing max timestep prior to age target 383 8.0674045565980911D+07 (age_target - star_age)/age_sigma 384 12.1716970333 reducing max timestep prior to age target 384 7.9116030716408730D+07 (age_target - star_age)/age_sigma 385 11.9367963329 reducing max timestep prior to age target 385 7.7589176163826942D+07 (age_target - star_age)/age_sigma 386 11.7065936465 reducing max timestep prior to age target 386 7.6092858702298164D+07 (age_target - star_age)/age_sigma 387 11.4809950138 reducing max timestep prior to age target 387 7.4626467590000153D+07 (age_target - star_age)/age_sigma 388 11.2599083538 reducing max timestep prior to age target 388 7.3189404299947739D+07 (age_target - star_age)/age_sigma 389 11.0432434270 reducing max timestep prior to age target 389 7.1781082275695801D+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 -15.653560 -99.000000 -6.909369 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.9203951899058688D-13 log_rel_run_E_err -10.1450454784962147 (age_target - star_age)/age_sigma 391 10.6185801705 reducing max timestep prior to age target 391 6.9020771108162880D+07 (age_target - star_age)/age_sigma 392 10.4104951748 reducing max timestep prior to age target 392 6.7668218636072159D+07 (age_target - star_age)/age_sigma 393 10.2065718790 reducing max timestep prior to age target 393 6.6342717213422775D+07 (age_target - star_age)/age_sigma 394 10.0067270491 reducing max timestep prior to age target 394 6.5043725819226265D+07 (age_target - star_age)/age_sigma 395 9.8108791158 reducing max timestep prior to age target 395 6.3770714252914429D+07 (age_target - star_age)/age_sigma 396 9.6189481412 reducing max timestep prior to age target 396 6.2523162917927742D+07 (age_target - star_age)/age_sigma 397 9.4308557861 reducing max timestep prior to age target 397 6.1300562609641075D+07 (age_target - star_age)/age_sigma 398 9.2465252781 reducing max timestep prior to age target 398 6.0102414307520866D+07 (age_target - star_age)/age_sigma 399 9.0658813802 reducing max timestep prior to age target 399 5.8928228971442223D+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 1.9351815864090554D-13 log_rel_run_E_err -10.1337427524692476 (age_target - star_age)/age_sigma 400 8.8888503603 reducing max timestep prior to age target 400 5.7777527342084885D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7153599608 reducing max timestep prior to age target 401 5.6649839745315552D+07 (age_target - star_age)/age_sigma 402 8.5453393693 reducing max timestep prior to age target 402 5.5544705900481224D+07 (age_target - star_age)/age_sigma 403 8.3787191896 reducing max timestep prior to age target 403 5.4461674732543945D+07 (age_target - star_age)/age_sigma 404 8.2154314135 reducing max timestep prior to age target 404 5.3400304187965393D+07 (age_target - star_age)/age_sigma 405 8.0554093930 reducing max timestep prior to age target 405 5.2360161054277420D+07 (age_target - star_age)/age_sigma 406 7.8985878128 reducing max timestep prior to age target 406 5.1340820783264160D+07 (age_target - star_age)/age_sigma 407 7.7449026643 reducing max timestep prior to age target 407 5.0341867317671776D+07 (age_target - star_age)/age_sigma 408 7.5942912187 reducing max timestep prior to age target 408 4.9362892921390533D+07 (age_target - star_age)/age_sigma 409 7.4466920020 reducing max timestep prior to age target 409 4.8403498013034821D+07 410 7.192095 5679.142 -0.009800 -0.009800 1.000000 1.000000 0.357059 0.005258 0.241548 -1.523156 522 0 5.9732E+00 7.192095 0.009214 -42.744292 -1.629492 -99.000000 0.000000 0.623146 0.008570 0.016960 0.118272 3 4.5220E+09 2.172354 -0.009748 -99.000000 -99.000000 -6.909940 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.9308307762280855D-13 log_rel_run_E_err -10.1227987824166163 (age_target - star_age)/age_sigma 410 7.3020447697 reducing max timestep prior to age target 410 4.7463291002846718D+07 (age_target - star_age)/age_sigma 411 7.1602904820 reducing max timestep prior to age target 411 4.6541888132862091D+07 (age_target - star_age)/age_sigma 412 7.0213712800 reducing max timestep prior to age target 412 4.5638913320277214D+07 (age_target - star_age)/age_sigma 413 6.8852304621 reducing max timestep prior to age target 413 4.4753998003943443D+07 (age_target - star_age)/age_sigma 414 6.7518124606 reducing max timestep prior to age target 414 4.3886780993936539D+07 (age_target - star_age)/age_sigma 415 6.6210628191 reducing max timestep prior to age target 415 4.3036908324130058D+07 (age_target - star_age)/age_sigma 416 6.4929281704 reducing max timestep prior to age target 416 4.2204033107719421D+07 (age_target - star_age)/age_sigma 417 6.3673562147 reducing max timestep prior to age target 417 4.1387815395637512D+07 (age_target - star_age)/age_sigma 418 6.2442956981 reducing max timestep prior to age target 418 4.0587922037796974D+07 (age_target - star_age)/age_sigma 419 6.1236963919 reducing max timestep prior to age target 419 3.9804026547113419D+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 2.0520907498132887D-13 log_rel_run_E_err -10.1121548398979719 (age_target - star_age)/age_sigma 420 6.0055090717 reducing max timestep prior to age target 420 3.9035808966243744D+07 (age_target - star_age)/age_sigma 421 5.8896854980 reducing max timestep prior to age target 421 3.8282955736989975D+07 (age_target - star_age)/age_sigma 422 5.7761783957 reducing max timestep prior to age target 422 3.7545159572322845D+07 (age_target - star_age)/age_sigma 423 5.6649414355 reducing max timestep prior to age target 423 3.6822119330948830D+07 (age_target - star_age)/age_sigma 424 5.5559292145 reducing max timestep prior to age target 424 3.6113539894401550D+07 (age_target - star_age)/age_sigma 426 5.3422652613 reducing max timestep prior to age target 426 3.4724724198769569D+07 (age_target - star_age)/age_sigma 427 5.2375699243 reducing max timestep prior to age target 427 3.4044204507909775D+07 (age_target - star_age)/age_sigma 428 5.1349684940 reducing max timestep prior to age target 428 3.3377295210866928D+07 (age_target - star_age)/age_sigma 429 5.0344190923 reducing max timestep prior to age target 429 3.2723724099765778D+07 430 7.192383 5679.397 -0.009255 -0.009255 1.000000 1.000000 0.355730 0.005263 0.241454 -1.522436 522 0 5.8073E+00 7.192383 0.009448 -42.725951 -1.628559 -99.000000 0.000000 0.624475 0.008565 0.016954 0.118452 3 4.5374E+09 2.173500 -0.009202 -99.000000 -99.000000 -6.910325 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9115317343710955D-13 log_rel_run_E_err -10.1019094115902597 (age_target - star_age)/age_sigma 430 4.9357049924 reducing max timestep prior to age target 430 3.2082082450750351D+07 (age_target - star_age)/age_sigma 431 4.8369908926 remaining steps and years until age target 431 49 3.1440440801735878D+07 (age_target - star_age)/age_sigma 432 4.7382767927 reducing max timestep prior to age target 432 3.0798799152720451D+07 (age_target - star_age)/age_sigma 433 4.6395626929 reducing max timestep prior to age target 433 3.0157157503705025D+07 (age_target - star_age)/age_sigma 434 4.5408485930 remaining steps and years until age target 434 46 2.9515515854690552D+07 (age_target - star_age)/age_sigma 435 4.4421344932 reducing max timestep prior to age target 435 2.8873874205675125D+07 (age_target - star_age)/age_sigma 436 4.3434203933 reducing max timestep prior to age target 436 2.8232232556659698D+07 (age_target - star_age)/age_sigma 437 4.2447062935 reducing max timestep prior to age target 437 2.7590590907644272D+07 (age_target - star_age)/age_sigma 438 4.1459921936 remaining steps and years until age target 438 42 2.6948949258629799D+07 (age_target - star_age)/age_sigma 439 4.0472780938 reducing max timestep prior to age target 439 2.6307307609614372D+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 1.8859304310848412D-13 log_rel_run_E_err -10.0917317695053157 (age_target - star_age)/age_sigma 440 3.9485639939 reducing max timestep prior to age target 440 2.5665665960598946D+07 (age_target - star_age)/age_sigma 441 3.8498498941 remaining steps and years until age target 441 39 2.5024024311584473D+07 (age_target - star_age)/age_sigma 442 3.7511357942 reducing max timestep prior to age target 442 2.4382382662569046D+07 (age_target - star_age)/age_sigma 443 3.6524216944 reducing max timestep prior to age target 443 2.3740741013553619D+07 (age_target - star_age)/age_sigma 444 3.5537075945 remaining steps and years until age target 444 36 2.3099099364539146D+07 (age_target - star_age)/age_sigma 445 3.4549934947 reducing max timestep prior to age target 445 2.2457457715523720D+07 (age_target - star_age)/age_sigma 446 3.3562793948 reducing max timestep prior to age target 446 2.1815816066508293D+07 (age_target - star_age)/age_sigma 447 3.2575652950 remaining steps and years until age target 447 33 2.1174174417493820D+07 (age_target - star_age)/age_sigma 448 3.1588511952 reducing max timestep prior to age target 448 2.0532532768478394D+07 (age_target - star_age)/age_sigma 449 3.0601370953 reducing max timestep prior to age target 449 1.9890891119462967D+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 1.7645471385281069D-13 log_rel_run_E_err -10.0819697107659128 (age_target - star_age)/age_sigma 450 2.9614229955 reducing max timestep prior to age target 450 1.9249249470447540D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8627088956 remaining steps and years until age target 451 29 1.8607607821433067D+07 (age_target - star_age)/age_sigma 452 2.7639947958 reducing max timestep prior to age target 452 1.7965966172417641D+07 (age_target - star_age)/age_sigma 453 2.6652806959 reducing max timestep prior to age target 453 1.7324324523402214D+07 (age_target - star_age)/age_sigma 454 2.5665665961 remaining steps and years until age target 454 26 1.6682682874387741D+07 (age_target - star_age)/age_sigma 455 2.4678524962 reducing max timestep prior to age target 455 1.6041041225372314D+07 (age_target - star_age)/age_sigma 456 2.3691383964 reducing max timestep prior to age target 456 1.5399399576356888D+07 (age_target - star_age)/age_sigma 457 2.2704242965 remaining steps and years until age target 457 23 1.4757757927342415D+07 (age_target - star_age)/age_sigma 458 2.1717101967 reducing max timestep prior to age target 458 1.4116116278326988D+07 (age_target - star_age)/age_sigma 459 2.0729960968 remaining steps and years until age target 459 21 1.3474474629312515D+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 1.8560173203621304D-13 log_rel_run_E_err -10.0724239171738219 (age_target - star_age)/age_sigma 460 1.9742819970 remaining steps and years until age target 460 20 1.2832832980298042D+07 (age_target - star_age)/age_sigma 461 1.8755678971 reducing max timestep prior to age target 461 1.2191191331282616D+07 (age_target - star_age)/age_sigma 462 1.7768537973 remaining steps and years until age target 462 18 1.1549549682268143D+07 (age_target - star_age)/age_sigma 463 1.6781396974 reducing max timestep prior to age target 463 1.0907908033252716D+07 (age_target - star_age)/age_sigma 464 1.5794255976 remaining steps and years until age target 464 16 1.0266266384238243D+07 (age_target - star_age)/age_sigma 465 1.4807114977 reducing max timestep prior to age target 465 9.6246247352228165D+06 (age_target - star_age)/age_sigma 466 1.3819973979 remaining steps and years until age target 466 14 8.9829830862083435D+06 (age_target - star_age)/age_sigma 467 1.2832832980 reducing max timestep prior to age target 467 8.3413414371929169D+06 (age_target - star_age)/age_sigma 468 1.1845691982 remaining steps and years until age target 468 12 7.6996997881784439D+06 (age_target - star_age)/age_sigma 469 1.0858550983 remaining steps and years until age target 469 11 7.0580581391639709D+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 1.9325832552555703D-13 log_rel_run_E_err -10.0628574398908395 (age_target - star_age)/age_sigma 470 0.9871409985 reducing max timestep prior to age target 470 6.4164164901485443D+06 (age_target - star_age)/age_sigma 471 0.8884268986 remaining steps and years until age target 471 9 5.7747748411340714D+06 (age_target - star_age)/age_sigma 472 0.7897127988 reducing max timestep prior to age target 472 5.1331331921186447D+06 (age_target - star_age)/age_sigma 473 0.6909986989 remaining steps and years until age target 473 7 4.4914915431041718D+06 (age_target - star_age)/age_sigma 474 0.5922845991 remaining steps and years until age target 474 6 3.8498498940896988D+06 (age_target - star_age)/age_sigma 475 0.4935704992 reducing max timestep prior to age target 475 3.2082082450742722D+06 (age_target - star_age)/age_sigma 476 0.3948563994 remaining steps and years until age target 476 4 2.5665665960597992D+06 (age_target - star_age)/age_sigma 477 0.2961422995 remaining steps and years until age target 477 3 1.9249249470453262D+06 (age_target - star_age)/age_sigma 478 0.1974281997 reducing max timestep prior to age target 478 1.2832832980298996D+06 (age_target - star_age)/age_sigma 479 0.0987140998 remaining steps and years until age target 479 1 6.4164164901542664D+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 1.9516796868574525D-13 log_rel_run_E_err -10.0533743486346800 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 0.96 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 1.9516796868574525D-13 log_rel_run_E_err -10.0533743486346800 Teff 5679.9294383768 radius 1.0231407131 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 535.4926038620 M_H -0.0017395982 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 3.0262018774 log_R 0.0099353666 delta_nu 136.8076227271 nu_max 2964.0776267827 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 333512.8396019131 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 "0a89a8e" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20250307" "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 DATE: 2025-03-07 TIME: 22:38:59 finished inlist_fast_newuoa_header DATE: 2025-03-07 TIME: 22:38:59 finished ******************** fast_newuoa failed: wrote to stderr ********************