DATE: 2026-01-07 TIME: 17:30:46 run inlist_fast_newuoa_header DATE: 2026-01-07 TIME: 17:30:46 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 08c12e86 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 10 5.954452 4733.609 -12.856101 -12.856101 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 408 0 -5.0000E+00 5.954444 0.953935 -99.000000 -14.253967 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0000E-04 -1.867445 1.563333 -99.000000 -99.000000 -7.764077 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954453 4595.940 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954445 0.953760 -99.000000 -14.253976 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 2.0000E-04 -1.867443 1.511710 -99.000000 -99.000000 -7.736293 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4530.427 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 401 0 -5.0000E+00 5.954446 0.953652 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 3.0000E-04 -1.867443 1.486555 -99.000000 -99.000000 -7.718439 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954454 4490.712 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 402 0 -5.0000E+00 5.954446 0.953577 -99.000000 -14.253983 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 2 4.0000E-04 -1.867442 1.471108 -99.000000 -99.000000 -7.706332 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954454 4464.062 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954446 0.953520 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 5.0000E-04 -1.867442 1.460655 -99.000000 -99.000000 -7.697719 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954455 4323.737 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 400 0 -2.2907E+00 5.954447 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0230E-02 -1.867440 1.404230 -99.000000 -99.000000 -7.645804 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562476342257225D-01 20 5.954552 4317.072 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396069 400 0 7.1957E-01 5.954545 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0486E+01 -1.867292 1.401230 -99.000000 -99.000000 -7.642835 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246339201115486D-01 30 6.001277 4351.246 -12.207559 -12.207559 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245110 404 0 3.4810E+00 6.001277 0.905373 -99.000000 -13.605424 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9486E+03 -1.731750 1.319895 -99.000000 -99.000000 -7.599471 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180162 4462.647 -9.835710 -9.835710 1.000000 1.000000 0.700000 0.001010 0.279976 -5.625094 416 0 4.0475E+00 6.180162 0.720230 -99.000000 -11.233569 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7297E+04 -1.194696 0.993525 -99.000000 -99.000000 -7.420612 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357874 4518.645 -7.720824 -7.720824 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009229 434 0 4.5599E+00 6.357874 0.538106 -99.000000 -9.118668 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0284E+05 -0.661323 0.650938 -99.000000 -99.000000 -7.222183 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531927 4517.956 -5.852617 -5.852617 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405381 447 0 5.0799E+00 6.531927 0.360878 -99.000000 -7.250418 -99.000000 0.000000 0.280000 0.009381 0.019671 0.071139 3 1.0459E+06 -0.138879 0.296218 -99.000000 -99.000000 -6.983364 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 2.4714940988704279D-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 6.621800 4325.220 -4.902889 -4.902889 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028066 457 0 -4.2874E+00 6.621800 0.262597 -99.000000 -6.300637 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 10 2.5959E-04 0.156119 0.023921 -20.470040 -99.000000 -6.899711 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6838871701662061D-13 log_rel_run_E_err -11.5700318794540493 20 6.621801 4338.374 -4.902889 -4.902889 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028066 455 0 -3.4956E+00 6.621801 0.262613 -99.000000 -6.300637 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 5 1.8669E-03 0.156120 0.029228 -20.470040 -99.000000 -6.905548 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5721361423511341D-13 log_rel_run_E_err -11.2668283458364904 30 6.621802 4339.528 -4.902889 -4.902889 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028066 454 0 -2.7037E+00 6.621802 0.262621 -99.000000 -6.300638 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 2 1.1819E-02 0.156121 0.029705 -19.925972 -99.000000 -6.906062 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5386108304514279D-13 log_rel_run_E_err -11.0975234299727852 40 6.621803 4338.957 -4.902888 -4.902888 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028066 454 0 -1.9119E+00 6.621803 0.262622 -99.000000 -6.300636 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 4 7.3439E-02 0.156122 0.029480 -99.000000 -99.000000 -6.905815 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4026470589419770D-13 log_rel_run_E_err -10.9744670142572271 50 6.621803 4337.369 -4.902888 -4.902888 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028066 454 0 -1.1201E+00 6.621803 0.262612 -99.000000 -6.300636 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5 4.5497E-01 0.156123 0.028822 -99.000000 -99.000000 -6.905106 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6708493702652885D-13 log_rel_run_E_err -10.8789289930169826 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.621803 4337.299 -4.902886 -4.902886 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028065 454 0 -3.2831E-01 6.621803 0.262611 -99.000000 -6.300634 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2 2.8173E+00 0.156123 0.028793 -99.000000 -99.000000 -6.905074 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6708484354080416D-13 log_rel_run_E_err -10.7984471225943892 70 6.621804 4337.298 -4.902877 -4.902877 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028061 454 0 4.6351E-01 6.621804 0.262610 -99.000000 -6.300626 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 2 1.7444E+01 0.156126 0.028790 -99.000000 -99.000000 -6.905072 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5386042732799763D-13 log_rel_run_E_err -10.7332097172810155 80 6.621809 4337.292 -4.902824 -4.902824 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028036 454 0 1.2553E+00 6.621809 0.262604 -99.000000 -6.300572 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 2 1.0801E+02 0.156144 0.028777 -99.000000 -99.000000 -6.905063 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6652193461140262D-13 log_rel_run_E_err -10.6748649010255985 90 6.621839 4337.257 -4.902490 -4.902490 1.000000 1.000000 0.711274 0.000946 0.270000 -4.027883 454 0 2.0471E+00 6.621839 0.262569 -99.000000 -6.300238 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071939 2 6.6878E+02 0.156255 0.028693 -19.992918 -99.000000 -6.905006 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7022446055020225D-13 log_rel_run_E_err -10.6238606989679312 __________________________________________________________________________________________________________________________________________________ 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 6.622024 4337.039 -4.900427 -4.900427 1.000000 1.000000 0.711274 0.000946 0.270000 -4.026935 454 0 2.8389E+00 6.622024 0.262353 -99.000000 -6.298175 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071946 2 4.1409E+03 0.156942 0.028172 -99.000000 -99.000000 -6.904650 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7120247817107979D-13 log_rel_run_E_err -10.5781743210354904 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.623162 4335.697 -4.887742 -4.887742 1.000000 1.000000 0.711274 0.000946 0.270000 -4.021089 454 0 3.6308E+00 6.623162 0.261020 -99.000000 -6.285490 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071991 2 2.5639E+04 0.161174 0.024969 -99.000000 -99.000000 -6.902458 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5457487434469169D-13 log_rel_run_E_err -10.5389404583998676 120 6.629877 4327.577 -4.812521 -4.812521 1.000000 1.000000 0.711274 0.000946 0.270000 -3.985664 454 0 4.4226E+00 6.629877 0.253094 -99.000000 -6.210262 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072280 3 1.5875E+05 0.186538 0.005860 -20.470040 -99.000000 -6.889320 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5128540478012096D-13 log_rel_run_E_err -10.4933215820121113 130 6.662096 4285.252 -4.441297 -4.441297 1.000000 1.000000 0.711274 0.000946 0.270000 -3.789403 454 0 5.2144E+00 6.662096 0.213508 -99.000000 -5.839003 -99.000000 0.000000 0.270000 0.008783 0.018726 0.074324 4 9.8295E+05 0.319516 -0.090385 -99.000000 -99.000000 -6.821850 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.3945241756660018D-13 log_rel_run_E_err -10.1542689943403364 140 6.750240 4220.884 -3.420361 -3.420361 1.000000 1.000000 0.711271 0.000946 0.269999 -3.080416 467 0 5.8515E+00 6.750240 0.109725 -99.000000 -4.817862 -99.000000 0.000000 0.270003 0.008783 0.018726 0.084831 4 5.4699E+06 0.756229 -0.324243 -19.265920 -99.000000 -6.662574 0.000000 0.003227 0.001952 0.018726 0.000E+00 varcontrol rel_E_err 2.3131572967980403D-13 log_rel_run_E_err -10.2444066266115197 150 6.870423 4547.371 -2.235215 -2.235215 1.000000 1.000000 0.711257 0.000946 0.269993 -2.206929 473 0 6.0296E+00 6.870423 0.037613 -99.000000 -3.631992 -99.000000 0.000000 0.270017 0.008783 0.018725 0.098150 4 1.4781E+07 1.306769 -0.339038 -99.000000 -99.000000 -6.716483 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.0403821074595448D-13 log_rel_run_E_err -10.2907872134821279 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.048709 5398.532 -0.802596 -0.802596 1.000000 1.000000 0.711085 0.000964 0.269971 -1.544592 491 0 6.1767E+00 7.048709 0.015296 -51.647873 -2.245366 -99.000000 0.000000 0.270186 0.008784 0.018724 0.098660 5 2.6492E+07 1.848211 -0.085611 -99.000000 -99.000000 -6.845424 0.000000 0.003212 0.001952 0.018730 0.000E+00 lgRho_cntr rel_E_err 1.6686338186054577D-13 log_rel_run_E_err -10.4362407191692359 (age_target - star_age)/age_sigma 169 694.4610926960 reducing max timestep prior to age target 169 4.5139971025241184D+09 170 7.130742 5564.042 -0.160676 -0.160676 1.000000 1.000000 0.709166 0.003080 0.269749 -1.723286 518 0 6.8569E+00 7.130742 -0.048016 -47.224960 -1.757511 -99.000000 0.000000 0.271799 0.008785 0.018711 0.085089 5 6.2696E+07 1.899154 -0.159776 -99.000000 -99.000000 -6.806414 0.000000 0.001400 0.001953 0.019036 0.000E+00 max increase rel_E_err 1.8539703664302963D-13 log_rel_run_E_err -10.4696427666962624 (age_target - star_age)/age_sigma 176 680.1683959732 reducing max timestep prior to age target 176 4.4210945738258533D+09 (age_target - star_age)/age_sigma 179 665.7353007770 reducing max timestep prior to age target 179 4.3272794550501814D+09 180 7.131307 5584.003 -0.143676 -0.143676 1.000000 1.000000 0.694445 0.004706 0.268281 -1.673885 507 0 7.6487E+00 7.131307 -0.043046 -47.088999 -1.799023 -99.000000 0.000000 0.286258 0.008797 0.018621 0.087385 10 2.8676E+08 1.923967 -0.143616 -15.954590 -99.000000 -6.816864 0.000000 0.000014 0.001956 0.019297 0.000E+00 max increase rel_E_err 1.8198334400537461D-13 log_rel_run_E_err -10.4485433401483814 (age_target - star_age)/age_sigma 181 650.6614395962 reducing max timestep prior to age target 181 4.2292993573750181D+09 (age_target - star_age)/age_sigma 182 640.7949122778 reducing max timestep prior to age target 182 4.1651669298058200D+09 (age_target - star_age)/age_sigma 184 616.6361356381 reducing max timestep prior to age target 184 4.0081348816478028D+09 (age_target - star_age)/age_sigma 185 604.5635706576 reducing max timestep prior to age target 185 3.9296632092743230D+09 (age_target - star_age)/age_sigma 186 592.7324569767 reducing max timestep prior to age target 186 3.8527609703483124D+09 (age_target - star_age)/age_sigma 187 581.1379655694 reducing max timestep prior to age target 187 3.7773967762008224D+09 (age_target - star_age)/age_sigma 188 569.7753639902 reducing max timestep prior to age target 188 3.7035398659362822D+09 (age_target - star_age)/age_sigma 189 558.6400144426 reducing max timestep prior to age target 189 3.6311600938770323D+09 190 7.139495 5602.786 -0.121901 -0.121901 1.000000 1.000000 0.640084 0.004747 0.263586 -1.652397 512 0 7.8508E+00 7.139495 -0.035069 -46.413891 -1.784931 -99.000000 0.000000 0.340518 0.008828 0.018331 0.090978 10 1.0093E+09 1.959107 -0.121828 -99.000000 -99.000000 -6.831123 0.000000 0.000014 0.001966 0.019398 0.000E+00 max_dt rel_E_err 1.8722934117427597D-13 log_rel_run_E_err -10.4267628248570983 (age_target - star_age)/age_sigma 190 547.7273718860 reducing max timestep prior to age target 190 3.5602279172589679D+09 (age_target - star_age)/age_sigma 191 537.0329821805 reducing max timestep prior to age target 191 3.4907143841732645D+09 (age_target - star_age)/age_sigma 192 526.5524802691 reducing max timestep prior to age target 192 3.4225911217492752D+09 (age_target - star_age)/age_sigma 193 516.2815883960 reducing max timestep prior to age target 193 3.3558303245737658D+09 (age_target - star_age)/age_sigma 194 506.2161143603 reducing max timestep prior to age target 194 3.2904047433417668D+09 (age_target - star_age)/age_sigma 195 496.3519498053 reducing max timestep prior to age target 195 3.2262876737344074D+09 (age_target - star_age)/age_sigma 196 486.6850685414 reducing max timestep prior to age target 196 3.1634529455191956D+09 (age_target - star_age)/age_sigma 197 477.2115249028 reducing max timestep prior to age target 197 3.1018749118682880D+09 (age_target - star_age)/age_sigma 198 467.9274521370 reducing max timestep prior to age target 198 3.0415284388903980D+09 (age_target - star_age)/age_sigma 199 458.8290608265 reducing max timestep prior to age target 199 2.9823888953720665D+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 7.147454 5618.250 -0.103212 -0.103212 1.000000 1.000000 0.591151 0.004789 0.259502 -1.633472 512 0 7.7631E+00 7.147454 -0.028118 -45.803734 -1.763981 -99.000000 0.000000 0.389365 0.008845 0.018076 0.094504 10 1.6451E+09 1.991852 -0.103138 -99.000000 -99.000000 -6.843949 0.000000 0.000015 0.001974 0.019485 0.000E+00 max_dt rel_E_err 1.9178751761737546D-13 log_rel_run_E_err -10.4067755502615800 (age_target - star_age)/age_sigma 200 449.9126373422 reducing max timestep prior to age target 200 2.9244321427241011D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.1745423276 reducing max timestep prior to age target 201 2.8676345251290951D+09 (age_target - star_age)/age_sigma 202 432.6112092132 reducing max timestep prior to age target 202 2.8119728598859897D+09 (age_target - star_age)/age_sigma 203 424.2191427612 reducing max timestep prior to age target 203 2.7574244279477458D+09 (age_target - star_age)/age_sigma 204 415.9949176382 reducing max timestep prior to age target 204 2.7039669646482668D+09 (age_target - star_age)/age_sigma 205 407.9351770177 reducing max timestep prior to age target 205 2.6515786506147776D+09 (age_target - star_age)/age_sigma 206 400.0366312095 reducing max timestep prior to age target 206 2.6002381028619585D+09 (age_target - star_age)/age_sigma 207 392.2960563176 reducing max timestep prior to age target 207 2.5499243660641952D+09 (age_target - star_age)/age_sigma 208 384.7102929234 reducing max timestep prior to age target 208 2.5006169040023875D+09 (age_target - star_age)/age_sigma 209 377.2762447972 reducing max timestep prior to age target 209 2.4522955911818161D+09 210 7.154393 5630.527 -0.087535 -0.087535 1.000000 1.000000 0.550560 0.004831 0.256246 -1.616764 514 0 7.6754E+00 7.154393 -0.022176 -45.292822 -1.744568 -99.000000 0.000000 0.429888 0.008849 0.017873 0.097725 10 2.1646E+09 2.020228 -0.087462 -99.000000 -99.000000 -6.854870 0.000000 0.000016 0.001981 0.019552 0.000E+00 max_dt rel_E_err 1.8196941793235733D-13 log_rel_run_E_err -10.3872916793804180 (age_target - star_age)/age_sigma 210 369.9908776335 reducing max timestep prior to age target 210 2.4049407046176558D+09 (age_target - star_age)/age_sigma 211 362.8512178130 reducing max timestep prior to age target 211 2.3585329157847786D+09 (age_target - star_age)/age_sigma 212 355.8543511890 reducing max timestep prior to age target 212 2.3130532827285590D+09 (age_target - star_age)/age_sigma 213 348.9974218975 reducing max timestep prior to age target 213 2.2684832423334641D+09 (age_target - star_age)/age_sigma 214 342.2776311917 reducing max timestep prior to age target 214 2.2248046027462711D+09 (age_target - star_age)/age_sigma 215 335.6922363001 reducing max timestep prior to age target 215 2.1819995359508224D+09 (age_target - star_age)/age_sigma 217 322.7848623126 reducing max timestep prior to age target 217 2.0981016050317416D+09 (age_target - star_age)/age_sigma 218 316.4602490587 reducing max timestep prior to age target 218 2.0569916188813925D+09 (age_target - star_age)/age_sigma 219 310.2621280699 reducing max timestep prior to age target 219 2.0167038324540496D+09 220 7.160429 5640.412 -0.074265 -0.074265 1.000000 1.000000 0.516683 0.004873 0.253540 -1.602059 513 0 7.5964E+00 7.160429 -0.017065 -44.861680 -1.727165 -99.000000 0.000000 0.463711 0.008843 0.017705 0.100648 10 2.5923E+09 2.044806 -0.074193 -15.477469 -99.000000 -6.864198 0.000000 0.000016 0.001987 0.019606 0.000E+00 max_dt rel_E_err 1.9315032297700082D-13 log_rel_run_E_err -10.3686462320599073 (age_target - star_age)/age_sigma 220 304.1879695008 reducing max timestep prior to age target 220 1.9772218017552538D+09 (age_target - star_age)/age_sigma 221 298.2352941031 reducing max timestep prior to age target 221 1.9385294116704345D+09 (age_target - star_age)/age_sigma 222 292.4016722134 reducing max timestep prior to age target 222 1.9006108693873110D+09 (age_target - star_age)/age_sigma 223 286.6847227615 reducing max timestep prior to age target 223 1.8634506979498501D+09 (age_target - star_age)/age_sigma 224 281.0821122986 reducing max timestep prior to age target 224 1.8270337299411387D+09 (age_target - star_age)/age_sigma 225 275.5915540450 reducing max timestep prior to age target 225 1.7913451012926011D+09 (age_target - star_age)/age_sigma 226 270.2108069565 reducing max timestep prior to age target 226 1.7563702452170343D+09 (age_target - star_age)/age_sigma 227 264.9376748097 reducing max timestep prior to age target 227 1.7220948862629790D+09 (age_target - star_age)/age_sigma 228 259.7700053058 reducing max timestep prior to age target 228 1.6885050344880052D+09 (age_target - star_age)/age_sigma 229 254.7056891921 reducing max timestep prior to age target 229 1.6555869797485304D+09 230 7.165667 5648.199 -0.063025 -0.063025 1.000000 1.000000 0.488304 0.004915 0.251319 -1.589185 512 0 7.5087E+00 7.165667 -0.012645 -44.496235 -1.711754 -99.000000 0.000000 0.492048 0.008829 0.017567 0.103283 10 2.9462E+09 2.066063 -0.062955 -15.477469 -99.000000 -6.872149 0.000000 0.000017 0.001992 0.019647 0.000E+00 max_dt rel_E_err 1.9298382968485535D-13 log_rel_run_E_err -10.3507651615179253 (age_target - star_age)/age_sigma 230 249.7426594006 reducing max timestep prior to age target 230 1.6233272861038451D+09 (age_target - star_age)/age_sigma 231 244.8788902049 reducing max timestep prior to age target 231 1.5917127863320537D+09 (age_target - star_age)/age_sigma 232 240.1123963932 reducing max timestep prior to age target 232 1.5607305765556979D+09 (age_target - star_age)/age_sigma 233 235.4412324577 reducing max timestep prior to age target 233 1.5303680109748697D+09 (age_target - star_age)/age_sigma 234 230.8634918009 reducing max timestep prior to age target 234 1.5006126967056575D+09 (age_target - star_age)/age_sigma 235 226.3773059572 reducing max timestep prior to age target 235 1.4714524887218299D+09 (age_target - star_age)/age_sigma 236 221.9808438304 reducing max timestep prior to age target 236 1.4428754848976784D+09 (age_target - star_age)/age_sigma 237 217.6723109462 reducing max timestep prior to age target 237 1.4148700211500106D+09 (age_target - star_age)/age_sigma 238 213.4499487196 reducing max timestep prior to age target 238 1.3874246666772957D+09 (age_target - star_age)/age_sigma 239 209.3120337375 reducing max timestep prior to age target 239 1.3605282192940350D+09 240 7.170116 5654.420 -0.053652 -0.053652 1.000000 1.000000 0.464858 0.004956 0.249558 -1.578184 515 0 7.4209E+00 7.170116 -0.008915 -44.191014 -1.698422 -99.000000 0.000000 0.515462 0.008809 0.017458 0.105601 10 3.2353E+09 2.084064 -0.053584 -99.000000 -99.000000 -6.878801 0.000000 0.000017 0.001996 0.019680 0.000E+00 max_dt rel_E_err 1.7295698803909821D-13 log_rel_run_E_err -10.3335562622012489 (age_target - star_age)/age_sigma 240 205.2568770551 reducing max timestep prior to age target 240 1.3341697008584399D+09 (age_target - star_age)/age_sigma 241 201.2828235064 reducing max timestep prior to age target 241 1.3083383527915564D+09 (age_target - star_age)/age_sigma 242 197.3882510286 reducing max timestep prior to age target 242 1.2830236316860104D+09 (age_target - star_age)/age_sigma 243 193.5715700004 reducing max timestep prior to age target 243 1.2582152050025754D+09 (age_target - star_age)/age_sigma 244 189.8312225927 reducing max timestep prior to age target 244 1.2339029468528094D+09 (age_target - star_age)/age_sigma 245 186.1656821332 reducing max timestep prior to age target 245 1.2100769338660388D+09 (age_target - star_age)/age_sigma 246 182.5734524829 reducing max timestep prior to age target 246 1.1867274411390038D+09 (age_target - star_age)/age_sigma 247 179.0530674256 reducing max timestep prior to age target 247 1.1638449382665091D+09 (age_target - star_age)/age_sigma 248 175.6030900695 reducing max timestep prior to age target 248 1.1414200854514642D+09 (age_target - star_age)/age_sigma 249 172.2221122604 reducing max timestep prior to age target 249 1.1194437296927199D+09 250 7.173871 5659.395 -0.045861 -0.045861 1.000000 1.000000 0.445513 0.004994 0.248034 -1.568845 515 0 7.3332E+00 7.173871 -0.005784 -43.936883 -1.686992 -99.000000 0.000000 0.534782 0.008786 0.017364 0.107618 10 3.4716E+09 2.099227 -0.045795 -99.000000 -99.000000 -6.884352 0.000000 0.000018 0.001999 0.019705 0.000E+00 max_dt rel_E_err 1.9542091614607672D-13 log_rel_run_E_err -10.3169568995586527 (age_target - star_age)/age_sigma 250 168.9087540076 reducing max timestep prior to age target 250 1.0979069010491509D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 252 162.4145718320 reducing max timestep prior to age target 252 1.0556947169077563D+09 (age_target - star_age)/age_sigma 253 159.2324225659 reducing max timestep prior to age target 253 1.0350107466784725D+09 (age_target - star_age)/age_sigma 254 156.1139162852 reducing max timestep prior to age target 254 1.0147404558537745D+09 (age_target - star_age)/age_sigma 255 153.0577801301 reducing max timestep prior to age target 255 9.9487557084557056D+08 (age_target - star_age)/age_sigma 256 150.0627666981 reducing max timestep prior to age target 256 9.7540798353753042D+08 (age_target - star_age)/age_sigma 257 147.1276535347 reducing max timestep prior to age target 257 9.5632974797565126D+08 (age_target - star_age)/age_sigma 258 144.2512426346 reducing max timestep prior to age target 258 9.3763307712500954D+08 (age_target - star_age)/age_sigma 259 141.4323599525 reducing max timestep prior to age target 259 9.1931033969138098D+08 260 7.177083 5663.393 -0.039292 -0.039292 1.000000 1.000000 0.429281 0.005030 0.246799 -1.560816 515 0 7.2542E+00 7.177083 -0.003114 -43.721980 -1.677099 -99.000000 0.000000 0.550995 0.008762 0.017287 0.109389 10 3.6681E+09 2.112177 -0.039228 -99.000000 -99.000000 -6.889028 0.000000 0.000018 0.002001 0.019725 0.000E+00 max_dt rel_E_err 1.7083783934904894D-13 log_rel_run_E_err -10.3009310948399797 (age_target - star_age)/age_sigma 260 138.6698549241 reducing max timestep prior to age target 260 9.0135405700642490D+08 (age_target - star_age)/age_sigma 261 135.9625999962 reducing max timestep prior to age target 261 8.8375689997516775D+08 (age_target - star_age)/age_sigma 262 133.3094901669 reducing max timestep prior to age target 262 8.6651168608453560D+08 (age_target - star_age)/age_sigma 263 130.7094425341 reducing max timestep prior to age target 263 8.4961137647171640D+08 (age_target - star_age)/age_sigma 264 128.1613958540 reducing max timestep prior to age target 264 8.3304907305115366D+08 (age_target - star_age)/age_sigma 265 125.6643101075 reducing max timestep prior to age target 265 8.1681801569900227D+08 (age_target - star_age)/age_sigma 266 123.2171660760 reducing max timestep prior to age target 266 8.0091157949389362D+08 (age_target - star_age)/age_sigma 267 120.8189649251 reducing max timestep prior to age target 267 7.8532327201288700D+08 (age_target - star_age)/age_sigma 268 118.4687277972 reducing max timestep prior to age target 268 7.7004673068150091D+08 (age_target - star_age)/age_sigma 269 116.1654954118 reducing max timestep prior to age target 269 7.5507572017674208D+08 270 7.179779 5666.615 -0.033839 -0.033839 1.000000 1.000000 0.415888 0.005064 0.245807 -1.554073 522 0 7.1665E+00 7.179779 -0.000882 -43.543302 -1.668706 -99.000000 0.000000 0.564372 0.008737 0.017225 0.110908 10 3.8291E+09 2.123022 -0.033776 -99.000000 -99.000000 -6.892915 0.000000 0.000018 0.002003 0.019740 0.000E+00 max_dt rel_E_err 1.8628441051271762D-13 log_rel_run_E_err -10.2855498851251710 (age_target - star_age)/age_sigma 270 113.9083276742 reducing max timestep prior to age target 270 7.4040412988207865D+08 (age_target - star_age)/age_sigma 271 111.6963032913 reducing max timestep prior to age target 271 7.2602597139330864D+08 (age_target - star_age)/age_sigma 272 109.5285193960 reducing max timestep prior to age target 272 7.1193537607431412D+08 (age_target - star_age)/age_sigma 273 107.4040911787 reducing max timestep prior to age target 273 6.9812659266169882D+08 (age_target - star_age)/age_sigma 274 105.3221515257 reducing max timestep prior to age target 274 6.8459398491733646D+08 (age_target - star_age)/age_sigma 275 103.2818506658 reducing max timestep prior to age target 275 6.7133202932786131D+08 (age_target - star_age)/age_sigma 276 101.2823558231 reducing max timestep prior to age target 276 6.5833531285017538D+08 (age_target - star_age)/age_sigma 277 99.3228508772 reducing max timestep prior to age target 277 6.4559853070204306D+08 (age_target - star_age)/age_sigma 278 97.4025360303 reducing max timestep prior to age target 278 6.3311648419687366D+08 (age_target - star_age)/age_sigma 279 95.5206274803 reducing max timestep prior to age target 279 6.2088407862180758D+08 280 7.182024 5669.135 -0.029356 -0.029356 1.000000 1.000000 0.404874 0.005094 0.245007 -1.548427 522 0 7.0787E+00 7.182024 0.000972 -43.395570 -1.661668 -99.000000 0.000000 0.575374 0.008714 0.017175 0.112199 6 3.9606E+09 2.132055 -0.029295 -99.000000 -99.000000 -6.896097 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.8338034162672705D-13 log_rel_run_E_err -10.2700769271757952 (age_target - star_age)/age_sigma 280 93.6763571013 reducing max timestep prior to age target 280 6.0889632115824270D+08 (age_target - star_age)/age_sigma 281 91.8689721298 reducing max timestep prior to age target 281 5.9714831884394932D+08 (age_target - star_age)/age_sigma 282 90.0977348578 reducing max timestep prior to age target 282 5.8563527657594156D+08 (age_target - star_age)/age_sigma 283 88.3619223313 reducing max timestep prior to age target 283 5.7435249515329361D+08 (age_target - star_age)/age_sigma 284 86.6608260552 reducing max timestep prior to age target 284 5.6329536935909939D+08 (age_target - star_age)/age_sigma 285 84.9937517047 reducing max timestep prior to age target 285 5.5245938608078909D+08 (age_target - star_age)/age_sigma 287 81.7262859777 reducing max timestep prior to age target 287 5.3122085885530043D+08 (age_target - star_age)/age_sigma 288 80.1252277715 reducing max timestep prior to age target 288 5.2081398051481104D+08 (age_target - star_age)/age_sigma 289 78.5561907294 reducing max timestep prior to age target 289 5.1061523974113178D+08 290 7.183904 5671.162 -0.025638 -0.025638 1.000000 1.000000 0.395756 0.005121 0.244356 -1.543693 522 0 6.9998E+00 7.183904 0.002520 -43.272631 -1.655738 -99.000000 0.000000 0.584483 0.008692 0.017135 0.113298 5 4.0689E+09 2.139609 -0.025578 -99.000000 -99.000000 -6.898731 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 2.0055972141352694D-13 log_rel_run_E_err -10.2550384820951699 (age_target - star_age)/age_sigma 290 77.0185344281 reducing max timestep prior to age target 290 5.0062047378292561D+08 (age_target - star_age)/age_sigma 291 75.5116312529 reducing max timestep prior to age target 291 4.9082560314388371D+08 (age_target - star_age)/age_sigma 292 74.0348661412 reducing max timestep prior to age target 292 4.8122662991762257D+08 (age_target - star_age)/age_sigma 293 72.5876363317 reducing max timestep prior to age target 293 4.7181963615588665D+08 (age_target - star_age)/age_sigma 294 71.1693511184 reducing max timestep prior to age target 294 4.6260078226938534D+08 (age_target - star_age)/age_sigma 295 69.7794316093 reducing max timestep prior to age target 295 4.5356630546061420D+08 (age_target - star_age)/age_sigma 296 68.4173104905 reducing max timestep prior to age target 296 4.4471251818801832D+08 (age_target - star_age)/age_sigma 297 67.0824317940 reducing max timestep prior to age target 297 4.3603580666087437D+08 (age_target - star_age)/age_sigma 298 65.7742506714 reducing max timestep prior to age target 298 4.2753262936427355D+08 (age_target - star_age)/age_sigma 299 64.4922331713 reducing max timestep prior to age target 299 4.1919951561360455D+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 7.185482 5672.799 -0.022544 -0.022544 1.000000 1.000000 0.388175 0.005144 0.243822 -1.539731 522 0 6.9120E+00 7.185482 0.003816 -43.169973 -1.650737 -99.000000 0.000000 0.592056 0.008672 0.017101 0.114231 5 4.1585E+09 2.145935 -0.022485 -15.352530 -99.000000 -6.900920 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.9641589876479740D-13 log_rel_run_E_err -10.2405455747645959 (age_target - star_age)/age_sigma 300 63.2358560212 reducing max timestep prior to age target 300 4.1103306413794899D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0046064141 reducing max timestep prior to age target 301 4.0302994169180679D+08 (age_target - star_age)/age_sigma 302 60.7979817992 reducing max timestep prior to age target 302 3.9518688169458723D+08 (age_target - star_age)/age_sigma 303 59.6154896765 reducing max timestep prior to age target 303 3.8750068289731169D+08 (age_target - star_age)/age_sigma 304 58.4566473963 reducing max timestep prior to age target 304 3.7996820807598209D+08 (age_target - star_age)/age_sigma 305 57.3209819617 reducing max timestep prior to age target 305 3.7258638275107861D+08 (age_target - star_age)/age_sigma 306 56.2080298358 reducing max timestep prior to age target 306 3.6535219393267393D+08 (age_target - star_age)/age_sigma 307 55.1173367524 reducing max timestep prior to age target 307 3.5826268889063644D+08 (age_target - star_age)/age_sigma 308 54.0484575307 reducing max timestep prior to age target 308 3.5131497394944048D+08 (age_target - star_age)/age_sigma 309 53.0009558934 reducing max timestep prior to age target 309 3.4450621330706835D+08 310 7.186785 5674.124 -0.020000 -0.020000 1.000000 1.000000 0.381957 0.005165 0.243359 -1.536457 522 0 6.8243E+00 7.186785 0.004884 -43.085462 -1.646583 -99.000000 0.000000 0.598269 0.008654 0.017072 0.115011 5 4.2317E+09 2.151157 -0.019943 -99.000000 -99.000000 -6.902723 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.8760250201342159D-13 log_rel_run_E_err -10.2263818121626873 (age_target - star_age)/age_sigma 310 51.9744042889 reducing max timestep prior to age target 310 3.3783362787754345D+08 (age_target - star_age)/age_sigma 311 50.9683837164 reducing max timestep prior to age target 311 3.3129449415660906D+08 (age_target - star_age)/age_sigma 312 49.9824835554 reducing max timestep prior to age target 312 3.2488614311009359D+08 (age_target - star_age)/age_sigma 313 49.0163013976 reducing max timestep prior to age target 313 3.1860595908450842D+08 (age_target - star_age)/age_sigma 314 48.0694428830 reducing max timestep prior to age target 314 3.1245137873943472D+08 (age_target - star_age)/age_sigma 315 47.1415215387 reducing max timestep prior to age target 315 3.0641989000126266D+08 (age_target - star_age)/age_sigma 316 46.2321586212 reducing max timestep prior to age target 316 3.0050903103785372D+08 (age_target - star_age)/age_sigma 317 45.3409829621 reducing max timestep prior to age target 317 2.9471638925371313D+08 (age_target - star_age)/age_sigma 318 44.4676308162 reducing max timestep prior to age target 318 2.8903960030525494D+08 (age_target - star_age)/age_sigma 319 43.6117457132 reducing max timestep prior to age target 319 2.8347634713576651D+08 320 7.187861 5675.189 -0.017914 -0.017914 1.000000 1.000000 0.376859 0.005182 0.242979 -1.533759 522 0 6.7366E+00 7.187861 0.005764 -43.015973 -1.643143 -99.000000 0.000000 0.603362 0.008639 0.017049 0.115661 5 4.2915E+09 2.155459 -0.017857 -99.000000 -99.000000 -6.904204 0.000000 0.000020 0.002009 0.019779 0.000E+00 max_dt rel_E_err 2.0310404456573198D-13 log_rel_run_E_err -10.2130239644678014 (age_target - star_age)/age_sigma 320 42.7729783123 reducing max timestep prior to age target 320 2.7802435902966785D+08 (age_target - star_age)/age_sigma 322 41.1289942064 reducing max timestep prior to age target 322 2.6733846234171391D+08 (age_target - star_age)/age_sigma 323 40.3234419946 reducing max timestep prior to age target 323 2.6210237296461678D+08 (age_target - star_age)/age_sigma 324 39.5340008269 reducing max timestep prior to age target 324 2.5697100537506104D+08 (age_target - star_age)/age_sigma 325 38.7603484827 reducing max timestep prior to age target 325 2.5194226513729668D+08 (age_target - star_age)/age_sigma 326 38.0021691853 reducing max timestep prior to age target 326 2.4701409970428848D+08 (age_target - star_age)/age_sigma 327 37.2591534738 reducing max timestep prior to age target 327 2.4218449757993984D+08 (age_target - star_age)/age_sigma 328 36.5309980766 reducing max timestep prior to age target 328 2.3745148749807835D+08 (age_target - star_age)/age_sigma 329 35.8174057874 reducing max timestep prior to age target 329 2.3281313761785316D+08 330 7.188763 5676.064 -0.016172 -0.016172 1.000000 1.000000 0.372606 0.005198 0.242666 -1.531498 522 0 6.6576E+00 7.188763 0.006501 -42.957859 -1.640250 -99.000000 0.000000 0.607612 0.008625 0.017029 0.116209 5 4.3412E+09 2.159063 -0.016116 -99.000000 -99.000000 -6.905438 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.9474419226036367D-13 log_rel_run_E_err -10.2003767125958920 (age_target - star_age)/age_sigma 330 35.1180853439 reducing max timestep prior to age target 330 2.2826755473523331D+08 (age_target - star_age)/age_sigma 331 34.4327513093 reducing max timestep prior to age target 331 2.2381288351026535D+08 (age_target - star_age)/age_sigma 332 33.7611239554 reducing max timestep prior to age target 332 2.1944730570979691D+08 (age_target - star_age)/age_sigma 333 33.1029291485 reducing max timestep prior to age target 333 2.1516903946533775D+08 (age_target - star_age)/age_sigma 334 32.4578982378 reducing max timestep prior to age target 334 2.1097633854576778D+08 (age_target - star_age)/age_sigma 335 31.8257679453 reducing max timestep prior to age target 335 2.0686749164459038D+08 (age_target - star_age)/age_sigma 336 31.2062802587 reducing max timestep prior to age target 336 2.0284082168143559D+08 (age_target - star_age)/age_sigma 337 30.5991823258 reducing max timestep prior to age target 337 1.9889468511754322D+08 (age_target - star_age)/age_sigma 338 30.0042263515 reducing max timestep prior to age target 338 1.9502747128492928D+08 (age_target - star_age)/age_sigma 339 29.4211694968 reducing max timestep prior to age target 339 1.9123760172896767D+08 340 7.189506 5676.772 -0.014742 -0.014742 1.000000 1.000000 0.369116 0.005210 0.242412 -1.529636 522 0 6.5699E+00 7.189506 0.007107 -42.910063 -1.637860 -99.000000 0.000000 0.611099 0.008614 0.017014 0.116665 5 4.3820E+09 2.162031 -0.014686 -99.000000 -99.000000 -6.906451 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt rel_E_err 1.9619628350771437D-13 log_rel_run_E_err -10.1875927200447549 (age_target - star_age)/age_sigma 340 28.8497737791 reducing max timestep prior to age target 340 1.8752352956412506D+08 (age_target - star_age)/age_sigma 341 28.2898059758 reducing max timestep prior to age target 341 1.8388373884257984D+08 (age_target - star_age)/age_sigma 342 27.7410375285 reducing max timestep prior to age target 342 1.8031674393546581D+08 (age_target - star_age)/age_sigma 343 27.2032444502 reducing max timestep prior to age target 343 1.7682108892649364D+08 (age_target - star_age)/age_sigma 344 26.6762072335 reducing max timestep prior to age target 344 1.7339534701770020D+08 (age_target - star_age)/age_sigma 345 26.1597107611 reducing max timestep prior to age target 345 1.7003811994708347D+08 (age_target - star_age)/age_sigma 346 25.6535442181 reducing max timestep prior to age target 346 1.6674803741787910D+08 (age_target - star_age)/age_sigma 347 25.1575010060 reducing max timestep prior to age target 347 1.6352375653925800D+08 (age_target - star_age)/age_sigma 348 24.6713786582 reducing max timestep prior to age target 348 1.6036396127821064D+08 (age_target - star_age)/age_sigma 349 24.1949787573 reducing max timestep prior to age target 349 1.5726736192238331D+08 350 7.190117 5677.345 -0.013571 -0.013571 1.000000 1.000000 0.366258 0.005221 0.242205 -1.528107 522 0 6.4821E+00 7.190117 0.007605 -42.870869 -1.635892 -99.000000 0.000000 0.613955 0.008604 0.017001 0.117041 5 4.4153E+09 2.164467 -0.013516 -99.000000 -99.000000 -6.907279 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.8934863936452757D-13 log_rel_run_E_err -10.1754702589661168 (age_target - star_age)/age_sigma 350 23.7281068544 reducing max timestep prior to age target 350 1.5423269455367279D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.2705723896 reducing max timestep prior to age target 351 1.5125872053233624D+08 (age_target - star_age)/age_sigma 352 22.8221886141 reducing max timestep prior to age target 352 1.4834422599142647D+08 (age_target - star_age)/age_sigma 353 22.3827725141 reducing max timestep prior to age target 353 1.4548802134133530D+08 (age_target - star_age)/age_sigma 354 21.9521447360 reducing max timestep prior to age target 354 1.4268894078424549D+08 (age_target - star_age)/age_sigma 356 21.1081142911 reducing max timestep prior to age target 356 1.3720274289235020D+08 (age_target - star_age)/age_sigma 357 20.6945393731 reducing max timestep prior to age target 357 1.3451450592532063D+08 (age_target - star_age)/age_sigma 358 20.2892359535 reducing max timestep prior to age target 358 1.3188003369763184D+08 (age_target - star_age)/age_sigma 359 19.8920386022 reducing max timestep prior to age target 359 1.2929825091449738D+08 360 7.190623 5677.814 -0.012603 -0.012603 1.000000 1.000000 0.363897 0.005230 0.242035 -1.526841 522 0 6.4031E+00 7.190623 0.008016 -42.838438 -1.634259 -99.000000 0.000000 0.616314 0.008596 0.016990 0.117353 5 4.4427E+09 2.166485 -0.012549 -99.000000 -99.000000 -6.907963 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.8421226612487884D-13 log_rel_run_E_err -10.1636532450071027 (age_target - star_age)/age_sigma 360 19.5027851980 reducing max timestep prior to age target 360 1.2676810378702545D+08 (age_target - star_age)/age_sigma 361 19.1213168619 reducing max timestep prior to age target 361 1.2428855960210323D+08 (age_target - star_age)/age_sigma 362 18.7474778924 reducing max timestep prior to age target 362 1.2185860630087948D+08 (age_target - star_age)/age_sigma 363 18.3811157024 reducing max timestep prior to age target 363 1.1947725206567955D+08 (age_target - star_age)/age_sigma 364 18.0220807562 reducing max timestep prior to age target 364 1.1714352491518402D+08 (age_target - star_age)/age_sigma 365 17.6702265089 reducing max timestep prior to age target 365 1.1485647230769825D+08 (age_target - star_age)/age_sigma 366 17.3254093465 reducing max timestep prior to age target 366 1.1261516075236225D+08 (age_target - star_age)/age_sigma 367 16.9874885274 reducing max timestep prior to age target 367 1.1041867542813301D+08 (age_target - star_age)/age_sigma 368 16.6563261247 reducing max timestep prior to age target 368 1.0826611981038857D+08 (age_target - star_age)/age_sigma 369 16.3317869700 reducing max timestep prior to age target 369 1.0615661530499935D+08 370 7.191042 5678.198 -0.011803 -0.011803 1.000000 1.000000 0.361944 0.005238 0.241895 -1.525791 522 0 6.3154E+00 7.191042 0.008358 -42.811592 -1.632904 -99.000000 0.000000 0.618265 0.008589 0.016981 0.117614 5 4.4654E+09 2.168157 -0.011749 -15.477469 -99.000000 -6.908528 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 2.0271773698514340D-13 log_rel_run_E_err -10.1517273249198539 (age_target - star_age)/age_sigma 370 16.0137385984 reducing max timestep prior to age target 370 1.0408930088971710D+08 (age_target - star_age)/age_sigma 371 15.7020511943 reducing max timestep prior to age target 371 1.0206333276274109D+08 (age_target - star_age)/age_sigma 372 15.3965975382 reducing max timestep prior to age target 372 1.0007788399830437D+08 (age_target - star_age)/age_sigma 373 15.0972529553 reducing max timestep prior to age target 373 9.8132144209156036D+07 (age_target - star_age)/age_sigma 374 14.8038952640 reducing max timestep prior to age target 374 9.6225319215790749D+07 (age_target - star_age)/age_sigma 375 14.5164047265 reducing max timestep prior to age target 375 9.4356630722292900D+07 (age_target - star_age)/age_sigma 376 14.2346639998 reducing max timestep prior to age target 376 9.2525315998665810D+07 (age_target - star_age)/age_sigma 377 13.9585580876 reducing max timestep prior to age target 377 9.0730627569510460D+07 (age_target - star_age)/age_sigma 378 13.6879742937 reducing max timestep prior to age target 378 8.8971832908938408D+07 (age_target - star_age)/age_sigma 379 13.4228021756 reducing max timestep prior to age target 379 8.7248214141577721D+07 380 7.191386 5678.511 -0.011149 -0.011149 1.000000 1.000000 0.360347 0.005244 0.241781 -1.524931 522 0 6.2277E+00 7.191386 0.008637 -42.789612 -1.631792 -99.000000 0.000000 0.619861 0.008583 0.016974 0.117828 5 4.4839E+09 2.169527 -0.011095 -99.000000 -99.000000 -6.908990 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.8949862168628790D-13 log_rel_run_E_err -10.1403309009563642 (age_target - star_age)/age_sigma 380 13.1629334999 reducing max timestep prior to age target 380 8.5559067749564171D+07 (age_target - star_age)/age_sigma 381 12.9082621978 reducing max timestep prior to age target 381 8.3903704285390854D+07 (age_target - star_age)/age_sigma 382 12.6586843216 reducing max timestep prior to age target 382 8.2281448090500832D+07 (age_target - star_age)/age_sigma 383 12.4140980030 reducing max timestep prior to age target 383 8.0691637019509315D+07 (age_target - star_age)/age_sigma 384 12.1744034108 reducing max timestep prior to age target 384 7.9133622169937134D+07 (age_target - star_age)/age_sigma 385 11.9395027104 reducing max timestep prior to age target 385 7.7606767617356300D+07 (age_target - star_age)/age_sigma 386 11.7093000240 reducing max timestep prior to age target 386 7.6110450155826569D+07 (age_target - star_age)/age_sigma 387 11.4837013913 reducing max timestep prior to age target 387 7.4644059043528557D+07 (age_target - star_age)/age_sigma 388 11.2626147313 reducing max timestep prior to age target 388 7.3206995753476143D+07 (age_target - star_age)/age_sigma 389 11.0459498045 reducing max timestep prior to age target 389 7.1798673729224205D+07 390 7.191667 5678.769 -0.010611 -0.010611 1.000000 1.000000 0.359041 0.005250 0.241688 -1.524228 523 0 6.1399E+00 7.191667 0.008866 -42.771613 -1.630879 -99.000000 0.000000 0.621166 0.008578 0.016968 0.118004 5 4.4991E+09 2.170649 -0.010558 -99.000000 -99.000000 -6.909370 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.9395565442334300D-13 log_rel_run_E_err -10.1291513729056959 (age_target - star_age)/age_sigma 391 10.6212865480 reducing max timestep prior to age target 391 6.9038362561691284D+07 (age_target - star_age)/age_sigma 392 10.4132015522 reducing max timestep prior to age target 392 6.7685810089600563D+07 (age_target - star_age)/age_sigma 393 10.2092782565 reducing max timestep prior to age target 393 6.6360308666951180D+07 (age_target - star_age)/age_sigma 394 10.0094334266 reducing max timestep prior to age target 394 6.5061317272754669D+07 (age_target - star_age)/age_sigma 395 9.8135854933 reducing max timestep prior to age target 395 6.3788305706442833D+07 (age_target - star_age)/age_sigma 396 9.6216545187 reducing max timestep prior to age target 396 6.2540754371456146D+07 (age_target - star_age)/age_sigma 397 9.4335621636 reducing max timestep prior to age target 397 6.1318154063169479D+07 (age_target - star_age)/age_sigma 398 9.2492316555 reducing max timestep prior to age target 398 6.0120005761049271D+07 (age_target - star_age)/age_sigma 399 9.0685877577 reducing max timestep prior to age target 399 5.8945820424970627D+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 5678.980 -0.010165 -0.010165 1.000000 1.000000 0.357952 0.005254 0.241611 -1.523639 523 0 6.0610E+00 7.191903 0.009057 -42.756593 -1.630116 -99.000000 0.000000 0.622255 0.008574 0.016964 0.118151 4 4.5117E+09 2.171586 -0.010111 -99.000000 -99.000000 -6.909685 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.7882865986742269D-13 log_rel_run_E_err -10.1182956033409273 (age_target - star_age)/age_sigma 400 8.8915567378 reducing max timestep prior to age target 400 5.7795118795614243D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7180663383 reducing max timestep prior to age target 401 5.6667431198844910D+07 (age_target - star_age)/age_sigma 402 8.5480457468 reducing max timestep prior to age target 402 5.5562297354010582D+07 (age_target - star_age)/age_sigma 403 8.3814255671 reducing max timestep prior to age target 403 5.4479266186072350D+07 (age_target - star_age)/age_sigma 404 8.2181377910 reducing max timestep prior to age target 404 5.3417895641493797D+07 (age_target - star_age)/age_sigma 405 8.0581157704 reducing max timestep prior to age target 405 5.2377752507806778D+07 (age_target - star_age)/age_sigma 406 7.9012941903 reducing max timestep prior to age target 406 5.1358412236793518D+07 (age_target - star_age)/age_sigma 407 7.7476090417 reducing max timestep prior to age target 407 5.0359458771200180D+07 (age_target - star_age)/age_sigma 408 7.5969975961 reducing max timestep prior to age target 408 4.9380484374918938D+07 (age_target - star_age)/age_sigma 409 7.4493983795 reducing max timestep prior to age target 409 4.8421089466563225D+07 410 7.192095 5679.147 -0.009801 -0.009801 1.000000 1.000000 0.357061 0.005258 0.241548 -1.523157 522 0 5.9732E+00 7.192095 0.009213 -42.744309 -1.629493 -99.000000 0.000000 0.623145 0.008570 0.016960 0.118271 3 4.5220E+09 2.172353 -0.009748 -99.000000 -99.000000 -6.909940 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.8307766842226213D-13 log_rel_run_E_err -10.1075808894276395 (age_target - star_age)/age_sigma 410 7.3047511471 reducing max timestep prior to age target 410 4.7480882456375122D+07 (age_target - star_age)/age_sigma 411 7.1629968594 reducing max timestep prior to age target 411 4.6559479586390495D+07 (age_target - star_age)/age_sigma 412 7.0240776575 reducing max timestep prior to age target 412 4.5656504773805618D+07 (age_target - star_age)/age_sigma 413 6.8879368396 reducing max timestep prior to age target 413 4.4771589457471848D+07 (age_target - star_age)/age_sigma 414 6.7545188381 reducing max timestep prior to age target 414 4.3904372447464943D+07 (age_target - star_age)/age_sigma 415 6.6237691966 reducing max timestep prior to age target 415 4.3054499777658463D+07 (age_target - star_age)/age_sigma 416 6.4956345479 reducing max timestep prior to age target 416 4.2221624561247826D+07 (age_target - star_age)/age_sigma 417 6.3700625922 reducing max timestep prior to age target 417 4.1405406849165916D+07 (age_target - star_age)/age_sigma 418 6.2470020756 reducing max timestep prior to age target 418 4.0605513491325378D+07 (age_target - star_age)/age_sigma 419 6.1264027693 reducing max timestep prior to age target 419 3.9821618000641823D+07 420 7.192252 5679.288 -0.009502 -0.009502 1.000000 1.000000 0.356332 0.005261 0.241496 -1.522763 522 0 5.8855E+00 7.192252 0.009341 -42.734264 -1.628982 -99.000000 0.000000 0.623873 0.008568 0.016956 0.118370 3 4.5304E+09 2.172980 -0.009449 -15.477469 -99.000000 -6.910152 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8945650940205181D-13 log_rel_run_E_err -10.0974443442183457 (age_target - star_age)/age_sigma 420 6.0082154492 reducing max timestep prior to age target 420 3.9053400419772148D+07 (age_target - star_age)/age_sigma 421 5.8923918755 reducing max timestep prior to age target 421 3.8300547190519333D+07 (age_target - star_age)/age_sigma 422 5.7788847732 reducing max timestep prior to age target 422 3.7562751025851250D+07 (age_target - star_age)/age_sigma 423 5.6676478130 reducing max timestep prior to age target 423 3.6839710784477234D+07 (age_target - star_age)/age_sigma 424 5.5586355920 reducing max timestep prior to age target 424 3.6131131347929955D+07 (age_target - star_age)/age_sigma 426 5.3449716388 reducing max timestep prior to age target 426 3.4742315652297974D+07 (age_target - star_age)/age_sigma 427 5.2402763018 reducing max timestep prior to age target 427 3.4061795961438179D+07 (age_target - star_age)/age_sigma 428 5.1376748714 reducing max timestep prior to age target 428 3.3394886664395332D+07 (age_target - star_age)/age_sigma 429 5.0371254697 reducing max timestep prior to age target 429 3.2741315553294182D+07 430 7.192382 5679.403 -0.009256 -0.009256 1.000000 1.000000 0.355731 0.005263 0.241454 -1.522437 522 0 5.8075E+00 7.192382 0.009447 -42.725968 -1.628560 -99.000000 0.000000 0.624474 0.008565 0.016954 0.118452 3 4.5374E+09 2.173499 -0.009202 -15.477469 -99.000000 -6.910325 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8178709168621513D-13 log_rel_run_E_err -10.0873320992051898 (age_target - star_age)/age_sigma 430 4.9383583037 remaining steps and years until age target 430 50 3.2099328973817825D+07 (age_target - star_age)/age_sigma 431 4.8395911376 remaining steps and years until age target 431 49 3.1457342394341469D+07 (age_target - star_age)/age_sigma 432 4.7408239715 remaining steps and years until age target 432 48 3.0815355814865112D+07 (age_target - star_age)/age_sigma 433 4.6420568054 remaining steps and years until age target 433 47 3.0173369235389709D+07 (age_target - star_age)/age_sigma 434 4.5432896394 remaining steps and years until age target 434 46 2.9531382655913353D+07 (age_target - star_age)/age_sigma 435 4.4445224733 remaining steps and years until age target 435 45 2.8889396076436996D+07 (age_target - star_age)/age_sigma 436 4.3457553072 remaining steps and years until age target 436 44 2.8247409496960640D+07 (age_target - star_age)/age_sigma 437 4.2469881412 remaining steps and years until age target 437 43 2.7605422917484283D+07 (age_target - star_age)/age_sigma 438 4.1482209751 remaining steps and years until age target 438 42 2.6963436338007927D+07 (age_target - star_age)/age_sigma 439 4.0494538090 remaining steps and years until age target 439 41 2.6321449758531570D+07 440 7.192503 5679.510 -0.009028 -0.009028 1.000000 1.000000 0.355176 0.005265 0.241415 -1.522135 522 0 5.8075E+00 7.192503 0.009544 -42.718305 -1.628170 -99.000000 0.000000 0.625029 0.008563 0.016951 0.118528 3 4.5438E+09 2.173978 -0.008975 -99.000000 -99.000000 -6.910485 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.9923598590842763D-13 log_rel_run_E_err -10.0773588989878444 (age_target - star_age)/age_sigma 440 3.9506866429 remaining steps and years until age target 440 40 2.5679463179055214D+07 (age_target - star_age)/age_sigma 441 3.8519194769 remaining steps and years until age target 441 39 2.5037476599578857D+07 (age_target - star_age)/age_sigma 442 3.7531523108 remaining steps and years until age target 442 38 2.4395490020102501D+07 (age_target - star_age)/age_sigma 443 3.6543851447 remaining steps and years until age target 443 37 2.3753503440627098D+07 (age_target - star_age)/age_sigma 444 3.5556179786 remaining steps and years until age target 444 36 2.3111516861150742D+07 (age_target - star_age)/age_sigma 445 3.4568508126 remaining steps and years until age target 445 35 2.2469530281674385D+07 (age_target - star_age)/age_sigma 446 3.3580836465 remaining steps and years until age target 446 34 2.1827543702198029D+07 (age_target - star_age)/age_sigma 447 3.2593164804 remaining steps and years until age target 447 33 2.1185557122721672D+07 (age_target - star_age)/age_sigma 448 3.1605493143 remaining steps and years until age target 448 32 2.0543570543245316D+07 (age_target - star_age)/age_sigma 449 3.0617821483 remaining steps and years until age target 449 31 1.9901583963768959D+07 450 7.192623 5679.617 -0.008800 -0.008800 1.000000 1.000000 0.354620 0.005268 0.241376 -1.521834 522 0 5.8075E+00 7.192623 0.009642 -42.710636 -1.627779 -99.000000 0.000000 0.625584 0.008561 0.016949 0.118603 3 4.5502E+09 2.174457 -0.008747 -99.000000 -99.000000 -6.910646 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8645877269288810D-13 log_rel_run_E_err -10.0676846986643191 (age_target - star_age)/age_sigma 450 2.9630149822 remaining steps and years until age target 450 30 1.9259597384292603D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8642478161 remaining steps and years until age target 451 29 1.8617610804816246D+07 (age_target - star_age)/age_sigma 452 2.7654806501 remaining steps and years until age target 452 28 1.7975624225339890D+07 (age_target - star_age)/age_sigma 453 2.6667134840 remaining steps and years until age target 453 27 1.7333637645864487D+07 (age_target - star_age)/age_sigma 454 2.5679463179 remaining steps and years until age target 454 26 1.6691651066388130D+07 (age_target - star_age)/age_sigma 455 2.4691791518 remaining steps and years until age target 455 25 1.6049664486911774D+07 (age_target - star_age)/age_sigma 456 2.3704119858 remaining steps and years until age target 456 24 1.5407677907435417D+07 (age_target - star_age)/age_sigma 457 2.2716448197 remaining steps and years until age target 457 23 1.4765691327959061D+07 (age_target - star_age)/age_sigma 458 2.1728776536 remaining steps and years until age target 458 22 1.4123704748482704D+07 (age_target - star_age)/age_sigma 459 2.0741104875 remaining steps and years until age target 459 21 1.3481718169006348D+07 460 7.192743 5679.723 -0.008572 -0.008572 1.000000 1.000000 0.354065 0.005270 0.241336 -1.521532 522 0 5.8075E+00 7.192743 0.009739 -42.702962 -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 -6.910806 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8751733495501011D-13 log_rel_run_E_err -10.0582398317438706 (age_target - star_age)/age_sigma 460 1.9753433215 remaining steps and years until age target 460 20 1.2839731589529991D+07 (age_target - star_age)/age_sigma 461 1.8765761554 remaining steps and years until age target 461 19 1.2197745010053635D+07 (age_target - star_age)/age_sigma 462 1.7778089893 remaining steps and years until age target 462 18 1.1555758430577278D+07 (age_target - star_age)/age_sigma 463 1.6790418232 remaining steps and years until age target 463 17 1.0913771851100922D+07 (age_target - star_age)/age_sigma 464 1.5802746572 remaining steps and years until age target 464 16 1.0271785271624565D+07 (age_target - star_age)/age_sigma 465 1.4815074911 reducing max timestep prior to age target 465 9.6297986921472549D+06 (age_target - star_age)/age_sigma 466 1.3827403250 remaining steps and years until age target 466 14 8.9878121126708984D+06 (age_target - star_age)/age_sigma 467 1.2839731590 remaining steps and years until age target 467 13 8.3458255331945419D+06 (age_target - star_age)/age_sigma 468 1.1852059929 remaining steps and years until age target 468 12 7.7038389537181854D+06 (age_target - star_age)/age_sigma 469 1.0864388268 remaining steps and years until age target 469 11 7.0618523742418289D+06 470 7.192864 5679.830 -0.008344 -0.008344 1.000000 1.000000 0.353509 0.005272 0.241297 -1.521230 522 0 5.8075E+00 7.192864 0.009837 -42.695283 -1.626995 -99.000000 0.000000 0.626694 0.008556 0.016944 0.118755 3 4.5631E+09 2.175417 -0.008292 -99.000000 -99.000000 -6.910966 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8878868020020346D-13 log_rel_run_E_err -10.0491062386094097 (age_target - star_age)/age_sigma 470 0.9876716607 remaining steps and years until age target 470 10 6.4198657947654724D+06 (age_target - star_age)/age_sigma 471 0.8889044947 reducing max timestep prior to age target 471 5.7778792152881622D+06 (age_target - star_age)/age_sigma 472 0.7901373286 remaining steps and years until age target 472 8 5.1358926358118057D+06 (age_target - star_age)/age_sigma 473 0.6913701625 remaining steps and years until age target 473 7 4.4939060563354492D+06 (age_target - star_age)/age_sigma 474 0.5926029964 remaining steps and years until age target 474 6 3.8519194768600464D+06 (age_target - star_age)/age_sigma 475 0.4938358304 reducing max timestep prior to age target 475 3.2099328973827362D+06 (age_target - star_age)/age_sigma 476 0.3950686643 remaining steps and years until age target 476 4 2.5679463179063797D+06 (age_target - star_age)/age_sigma 477 0.2963014982 remaining steps and years until age target 477 3 1.9259597384300232D+06 (age_target - star_age)/age_sigma 478 0.1975343321 remaining steps and years until age target 478 2 1.2839731589536667D+06 (age_target - star_age)/age_sigma 479 0.0987671661 480 7.192985 5679.936 -0.008116 -0.008116 1.000000 1.000000 0.352953 0.005275 0.241258 -1.520928 522 0 5.8075E+00 7.192985 0.009935 -42.687599 -1.626603 -99.000000 0.000000 0.627250 0.008554 0.016941 0.118832 3 4.5695E+09 2.175898 -0.008064 -99.000000 -99.000000 -6.911127 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.7686430416949278D-13 log_rel_run_E_err -10.0401248043449698 chi^2 combined, chi^2 seismo, chi^2 spectro 480 333512.81 0.00 333512.81 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 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 333512.81 0.00 333512.81 have reached age_target runtime (minutes), retries, steps 4.82 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 7.192985 5679.936 -0.008116 -0.008116 1.000000 1.000000 0.352953 0.005275 0.241258 -1.520928 522 0 5.8075E+00 7.192985 0.009935 -42.687599 -1.626603 -99.000000 0.000000 0.627250 0.008554 0.016941 0.118832 3 4.5695E+09 2.175898 -0.008064 -99.000000 -99.000000 -6.911127 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.7686430416949278D-13 log_rel_run_E_err -10.0401248043449698 Teff 5679.9356269539 radius 1.0231387428 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 535.4014198607 M_H -0.0017398950 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 3.0272346646 log_R 0.0099345303 delta_nu 136.8079753965 nu_max 2964.0874280697 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 333512.8095515085 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 "08c12e86" "gfortran" "13.3.0" "x86_64-linux-25.12.1" "CRMATH" "20260107" "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 3.3351280955150846E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799356269539430E+03 1.0231387428323298E+00 -1.7398950154099558E-03 9.9345302525710756E-03 1.3680797539651249E+02 2.9640874280697080E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351280955150846E+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 10 5.954452 4733.609 -12.856101 -12.856101 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 408 0 -5.0000E+00 5.954444 0.953935 -99.000000 -14.253967 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0000E-04 -1.867445 1.563333 -99.000000 -99.000000 -7.764077 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954453 4595.940 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954445 0.953760 -99.000000 -14.253976 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 2.0000E-04 -1.867443 1.511710 -99.000000 -99.000000 -7.736293 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4530.427 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 401 0 -5.0000E+00 5.954446 0.953652 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 3.0000E-04 -1.867443 1.486555 -99.000000 -99.000000 -7.718439 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954454 4490.712 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 402 0 -5.0000E+00 5.954446 0.953577 -99.000000 -14.253983 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 2 4.0000E-04 -1.867442 1.471108 -99.000000 -99.000000 -7.706332 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954454 4464.062 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954446 0.953520 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 5.0000E-04 -1.867442 1.460655 -99.000000 -99.000000 -7.697719 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954455 4323.737 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 400 0 -2.2907E+00 5.954447 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0230E-02 -1.867440 1.404230 -99.000000 -99.000000 -7.645804 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562476342257225D-01 20 5.954552 4317.072 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396069 400 0 7.1957E-01 5.954545 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0486E+01 -1.867292 1.401230 -99.000000 -99.000000 -7.642835 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246339201115486D-01 30 6.001277 4351.246 -12.207559 -12.207559 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245110 404 0 3.4810E+00 6.001277 0.905373 -99.000000 -13.605424 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9486E+03 -1.731750 1.319895 -99.000000 -99.000000 -7.599471 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180162 4462.647 -9.835710 -9.835710 1.000000 1.000000 0.700000 0.001010 0.279976 -5.625094 416 0 4.0475E+00 6.180162 0.720230 -99.000000 -11.233569 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7297E+04 -1.194696 0.993525 -99.000000 -99.000000 -7.420612 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357874 4518.645 -7.720824 -7.720824 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009229 434 0 4.5599E+00 6.357874 0.538106 -99.000000 -9.118668 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0284E+05 -0.661323 0.650938 -99.000000 -99.000000 -7.222183 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531927 4517.956 -5.852617 -5.852617 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405381 447 0 5.0799E+00 6.531927 0.360878 -99.000000 -7.250418 -99.000000 0.000000 0.280000 0.009381 0.019671 0.071139 3 1.0459E+06 -0.138879 0.296218 -99.000000 -99.000000 -6.983364 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 2.4714940988704279D-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 6.630502 4379.918 -4.847972 -4.847972 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035135 458 0 -4.2874E+00 6.630502 0.258207 -99.000000 -6.245718 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 10 2.5959E-04 0.169450 0.036972 -99.000000 -99.000000 -6.905517 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5310109322313268D-13 log_rel_run_E_err -11.5722902759792952 20 6.630502 4382.179 -4.847972 -4.847972 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035135 458 0 -3.4956E+00 6.630502 0.258214 -99.000000 -6.245718 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3 1.8669E-03 0.169450 0.037883 -99.000000 -99.000000 -6.906448 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.4535874362699435D-13 log_rel_run_E_err -11.2731331787426736 30 6.630502 4384.084 -4.847972 -4.847972 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035135 458 0 -2.7037E+00 6.630502 0.258220 -99.000000 -6.245718 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 5 1.1819E-02 0.169450 0.038650 -99.000000 -99.000000 -6.907230 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6231817555300982D-13 log_rel_run_E_err -11.0974575491109100 40 6.630502 4384.227 -4.847972 -4.847972 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035135 458 0 -1.9119E+00 6.630502 0.258221 -99.000000 -6.245718 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 2 7.3439E-02 0.169450 0.038708 -20.293948 -99.000000 -6.907289 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.8167404676068894D-13 log_rel_run_E_err -10.9733663282886411 50 6.630502 4384.218 -4.847972 -4.847972 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035135 458 0 -1.1201E+00 6.630502 0.258221 -99.000000 -6.245718 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 2 4.5497E-01 0.169450 0.038704 -99.000000 -99.000000 -6.907285 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5734093375000641D-13 log_rel_run_E_err -10.8791361064564871 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.630503 4384.176 -4.847970 -4.847970 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035134 458 0 -3.2831E-01 6.630503 0.258219 -99.000000 -6.245717 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3 2.8173E+00 0.169450 0.038684 -99.000000 -99.000000 -6.907266 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5181059521083176D-13 log_rel_run_E_err -10.7995551728281463 70 6.630503 4384.073 -4.847963 -4.847963 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035130 458 0 4.6351E-01 6.630503 0.258213 -99.000000 -6.245710 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3 1.7444E+01 0.169453 0.038630 -99.000000 -99.000000 -6.907216 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6784772474439989D-13 log_rel_run_E_err -10.7304907907167841 80 6.630506 4383.905 -4.847917 -4.847917 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035102 458 0 1.2553E+00 6.630506 0.258194 -99.000000 -6.245663 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071722 5 1.0801E+02 0.169469 0.038527 -99.000000 -99.000000 -6.907126 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6120789435857309D-13 log_rel_run_E_err -10.6713355623056714 90 6.630529 4383.759 -4.847589 -4.847589 1.000000 1.000000 0.698120 0.000928 0.283500 -4.034933 458 0 2.0471E+00 6.630529 0.258146 -99.000000 -6.245335 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071724 8 6.6878E+02 0.169577 0.038372 -99.000000 -99.000000 -6.907009 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.9178358084657405D-13 log_rel_run_E_err -10.6054847219842134 __________________________________________________________________________________________________________________________________________________ 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 6.630703 4383.542 -4.845515 -4.845515 1.000000 1.000000 0.698120 0.000928 0.283500 -4.033882 458 0 2.8389E+00 6.630703 0.257926 -99.000000 -6.243262 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071734 2 4.1409E+03 0.170291 0.037846 -99.000000 -99.000000 -6.906659 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7339338748726821D-13 log_rel_run_E_err -10.5402703272981952 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.631781 4382.261 -4.832817 -4.832817 1.000000 1.000000 0.698120 0.000928 0.283500 -4.027409 458 0 3.6308E+00 6.631781 0.256582 -99.000000 -6.230563 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071799 2 2.5639E+04 0.174703 0.034652 -99.000000 -99.000000 -6.904536 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.7307119819218774D-13 log_rel_run_E_err -10.4988056078996976 120 6.638166 4374.484 -4.757494 -4.757494 1.000000 1.000000 0.698120 0.000928 0.283500 -3.988437 458 0 4.4226E+00 6.638166 0.248593 -99.000000 -6.155233 -99.000000 0.000000 0.283500 0.008620 0.018380 0.072200 3 1.5875E+05 0.201103 0.015587 -99.000000 -99.000000 -6.891803 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.6431637568199861D-13 log_rel_run_E_err -10.4616612760378462 130 6.669533 4333.414 -4.385627 -4.385627 1.000000 1.000000 0.698120 0.000928 0.283500 -3.778901 458 0 5.2144E+00 6.669533 0.208793 -99.000000 -5.783330 -99.000000 0.000000 0.283500 0.008620 0.018380 0.074641 4 9.8295E+05 0.338525 -0.080400 -99.000000 -99.000000 -6.826187 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase rel_E_err 2.5123561222035751D-13 log_rel_run_E_err -10.2093933266124530 140 6.757744 4287.314 -3.369356 -3.369356 1.000000 1.000000 0.698117 0.000928 0.283499 -3.058542 469 0 5.8508E+00 6.757744 0.107007 -99.000000 -4.766845 -99.000000 0.000000 0.283503 0.008621 0.018379 0.085503 4 5.3533E+06 0.780169 -0.302552 -99.000000 -99.000000 -6.680700 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr rel_E_err 2.4228637887568529D-13 log_rel_run_E_err -10.3065853951432338 150 6.878485 4646.049 -2.193231 -2.193231 1.000000 1.000000 0.698103 0.000929 0.283493 -2.200278 472 0 5.9446E+00 6.878485 0.039247 -99.000000 -3.589983 -99.000000 0.000000 0.283517 0.008621 0.018379 0.098367 4 1.3986E+07 1.324989 -0.298477 -17.584678 -99.000000 -6.733211 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr rel_E_err 2.0282421670798437D-13 log_rel_run_E_err -10.4214869512382968 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.068775 5525.524 -0.666771 -0.666771 1.000000 1.000000 0.697914 0.000968 0.283468 -1.566181 497 0 6.1251E+00 7.068775 0.022758 -50.487494 -2.142610 -99.000000 0.000000 0.283699 0.008621 0.018378 0.096666 5 2.5192E+07 1.872944 -0.030296 -99.000000 -99.000000 -6.867680 0.000000 0.003134 0.001916 0.018387 0.000E+00 varcontrol rel_E_err 1.8223766258215864D-13 log_rel_run_E_err -10.5673002725937568 (age_target - star_age)/age_sigma 169 694.0022561494 reducing max timestep prior to age target 169 4.5110146649709263D+09 170 7.139381 5660.748 -0.118277 -0.118277 1.000000 1.000000 0.695459 0.003715 0.283165 -1.725838 516 0 6.9169E+00 7.139381 -0.041087 -46.686849 -1.723675 -99.000000 0.000000 0.285757 0.008623 0.018360 0.085030 5 6.6745E+07 1.914574 -0.115985 -99.000000 -99.000000 -6.829105 0.000000 0.000781 0.001917 0.018783 0.000E+00 max increase rel_E_err 1.8891813161385844D-13 log_rel_run_E_err -10.5863354455061334 (age_target - star_age)/age_sigma 176 677.5905348288 reducing max timestep prior to age target 176 4.4043384763870850D+09 (age_target - star_age)/age_sigma 179 661.0175996614 reducing max timestep prior to age target 179 4.2966143977989426D+09 180 7.141625 5680.728 -0.099424 -0.099424 1.000000 1.000000 0.676304 0.004623 0.281166 -1.682081 508 0 7.7088E+00 7.141625 -0.035831 -46.445258 -1.754322 -99.000000 0.000000 0.304750 0.008634 0.018245 0.087295 10 3.2402E+08 1.940772 -0.099353 -15.954590 -99.000000 -6.841649 0.000000 0.000014 0.001920 0.018946 0.000E+00 max increase rel_E_err 2.0339349713137480D-13 log_rel_run_E_err -10.5585136552777819 (age_target - star_age)/age_sigma 180 653.1500084610 reducing max timestep prior to age target 180 4.2454750549966593D+09 (age_target - star_age)/age_sigma 182 632.3795676921 reducing max timestep prior to age target 182 4.1104671899986320D+09 (age_target - star_age)/age_sigma 183 620.0606238344 reducing max timestep prior to age target 183 4.0303940549236522D+09 (age_target - star_age)/age_sigma 184 607.9880588539 reducing max timestep prior to age target 184 3.9519223825501719D+09 (age_target - star_age)/age_sigma 185 596.1569451729 reducing max timestep prior to age target 185 3.8750201436241617D+09 (age_target - star_age)/age_sigma 186 584.5624537656 reducing max timestep prior to age target 186 3.7996559494766717D+09 (age_target - star_age)/age_sigma 187 573.1998521865 reducing max timestep prior to age target 187 3.7257990392121315D+09 (age_target - star_age)/age_sigma 188 562.0645026389 reducing max timestep prior to age target 188 3.6534192671528816D+09 (age_target - star_age)/age_sigma 189 551.1518600823 reducing max timestep prior to age target 189 3.5824870905348167D+09 190 7.151226 5699.117 -0.075420 -0.075420 1.000000 1.000000 0.615274 0.004676 0.275568 -1.659407 514 0 7.8421E+00 7.151226 -0.026634 -45.689117 -1.734002 -99.000000 0.000000 0.365678 0.008652 0.017921 0.091366 10 1.0565E+09 1.980453 -0.075344 -15.352530 -99.000000 -6.859399 0.000000 0.000015 0.001930 0.019048 0.000E+00 max_dt rel_E_err 1.8433559262740396D-13 log_rel_run_E_err -10.5310013053698022 (age_target - star_age)/age_sigma 190 540.4574703768 reducing max timestep prior to age target 190 3.5129735574491138D+09 (age_target - star_age)/age_sigma 191 529.9769684654 reducing max timestep prior to age target 191 3.4448502950251245D+09 (age_target - star_age)/age_sigma 192 519.7060765922 reducing max timestep prior to age target 192 3.3780894978496151D+09 (age_target - star_age)/age_sigma 193 509.6406025566 reducing max timestep prior to age target 193 3.3126639166176157D+09 (age_target - star_age)/age_sigma 194 499.7764380016 reducing max timestep prior to age target 194 3.2485468470102568D+09 (age_target - star_age)/age_sigma 195 490.1095567377 reducing max timestep prior to age target 195 3.1857121187950449D+09 (age_target - star_age)/age_sigma 196 480.6360130991 reducing max timestep prior to age target 196 3.1241340851441369D+09 (age_target - star_age)/age_sigma 197 471.3519403333 reducing max timestep prior to age target 197 3.0637876121662474D+09 (age_target - star_age)/age_sigma 198 462.2535490228 reducing max timestep prior to age target 198 3.0046480686479154D+09 (age_target - star_age)/age_sigma 199 453.3371255385 reducing max timestep prior to age target 199 2.9466913159999504D+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 7.160126 5713.617 -0.055051 -0.055051 1.000000 1.000000 0.562059 0.004735 0.270791 -1.638961 517 0 7.7543E+00 7.160126 -0.018657 -45.029252 -1.709071 -99.000000 0.000000 0.418811 0.008649 0.017640 0.095342 10 1.6796E+09 2.016620 -0.054975 -15.653560 -99.000000 -6.874817 0.000000 0.000016 0.001939 0.019131 0.000E+00 max_dt rel_E_err 2.0030394132175509D-13 log_rel_run_E_err -10.5050501442007889 (age_target - star_age)/age_sigma 200 444.5990305238 reducing max timestep prior to age target 200 2.8898936984049444D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 436.0356974095 reducing max timestep prior to age target 201 2.8342320331618385D+09 (age_target - star_age)/age_sigma 202 427.6436309575 reducing max timestep prior to age target 202 2.7796836012235947D+09 (age_target - star_age)/age_sigma 203 419.4194058345 reducing max timestep prior to age target 203 2.7262261379241161D+09 (age_target - star_age)/age_sigma 205 403.2999245934 reducing max timestep prior to age target 205 2.6214495098571377D+09 (age_target - star_age)/age_sigma 206 395.4013787853 reducing max timestep prior to age target 206 2.5701089621043181D+09 (age_target - star_age)/age_sigma 207 387.6608038933 reducing max timestep prior to age target 207 2.5197952253065548D+09 (age_target - star_age)/age_sigma 208 380.0750404992 reducing max timestep prior to age target 208 2.4704877632447472D+09 (age_target - star_age)/age_sigma 209 372.6409923730 reducing max timestep prior to age target 209 2.4221664504241757D+09 210 7.168027 5725.027 -0.037675 -0.037675 1.000000 1.000000 0.517179 0.004799 0.266900 -1.620655 516 0 7.6754E+00 7.168027 -0.011703 -44.466757 -1.685727 -99.000000 0.000000 0.463627 0.008627 0.017409 0.099077 10 2.1947E+09 2.048517 -0.037602 -99.000000 -99.000000 -6.887951 0.000000 0.000017 0.001946 0.019194 0.000E+00 max_dt rel_E_err 1.8541414838725927D-13 log_rel_run_E_err -10.4806989346956883 (age_target - star_age)/age_sigma 210 365.3556252092 reducing max timestep prior to age target 210 2.3748115638600154D+09 (age_target - star_age)/age_sigma 211 358.2159653888 reducing max timestep prior to age target 211 2.3284037750271382D+09 (age_target - star_age)/age_sigma 212 351.2190987648 reducing max timestep prior to age target 212 2.2829241419709191D+09 (age_target - star_age)/age_sigma 213 344.3621694732 reducing max timestep prior to age target 213 2.2383541015758238D+09 (age_target - star_age)/age_sigma 214 337.6423787675 reducing max timestep prior to age target 214 2.1946754619886308D+09 (age_target - star_age)/age_sigma 215 331.0569838759 reducing max timestep prior to age target 215 2.1518703951931815D+09 (age_target - star_age)/age_sigma 216 324.6032968821 reducing max timestep prior to age target 216 2.1099214297336416D+09 (age_target - star_age)/age_sigma 217 318.2786836282 reducing max timestep prior to age target 217 2.0688114435832920D+09 (age_target - star_age)/age_sigma 218 312.0805626394 reducing max timestep prior to age target 218 2.0285236571559496D+09 (age_target - star_age)/age_sigma 219 306.0064040703 reducing max timestep prior to age target 219 1.9890416264571538D+09 220 7.174960 5733.929 -0.022916 -0.022916 1.000000 1.000000 0.479486 0.004868 0.263652 -1.604508 518 0 7.5876E+00 7.174960 -0.005675 -43.988095 -1.664602 -99.000000 0.000000 0.501272 0.008589 0.017217 0.102530 10 2.6192E+09 2.076362 -0.022847 -99.000000 -99.000000 -6.899160 0.000000 0.000017 0.001952 0.019242 0.000E+00 max_dt rel_E_err 1.8791070105034094D-13 log_rel_run_E_err -10.4573997938092784 (age_target - star_age)/age_sigma 220 300.0537286727 reducing max timestep prior to age target 220 1.9503492363723340D+09 (age_target - star_age)/age_sigma 221 294.2201067830 reducing max timestep prior to age target 221 1.9124306940892110D+09 (age_target - star_age)/age_sigma 222 288.5031573310 reducing max timestep prior to age target 222 1.8752705226517501D+09 (age_target - star_age)/age_sigma 223 282.9005468682 reducing max timestep prior to age target 223 1.8388535546430383D+09 (age_target - star_age)/age_sigma 224 277.4099886145 reducing max timestep prior to age target 224 1.8031649259945011D+09 (age_target - star_age)/age_sigma 225 272.0292415260 reducing max timestep prior to age target 225 1.7681900699189343D+09 (age_target - star_age)/age_sigma 226 266.7561093792 reducing max timestep prior to age target 226 1.7339147109648790D+09 (age_target - star_age)/age_sigma 227 261.5884398754 reducing max timestep prior to age target 227 1.7003248591899052D+09 (age_target - star_age)/age_sigma 228 256.5241237616 reducing max timestep prior to age target 228 1.6674068044504304D+09 (age_target - star_age)/age_sigma 229 251.5610939701 reducing max timestep prior to age target 229 1.6351471108057451D+09 230 7.180921 5740.711 -0.010563 -0.010563 1.000000 1.000000 0.448141 0.004940 0.261110 -1.590552 517 0 7.4999E+00 7.180921 -0.000527 -43.585429 -1.645970 -99.000000 0.000000 0.532582 0.008538 0.017066 0.105653 10 2.9660E+09 2.100223 -0.010497 -99.000000 -99.000000 -6.908469 0.000000 0.000018 0.001956 0.019278 0.000E+00 max_dt rel_E_err 1.7693134712533556D-13 log_rel_run_E_err -10.4359969095933280 (age_target - star_age)/age_sigma 230 246.6973247745 reducing max timestep prior to age target 230 1.6035326110339532D+09 (age_target - star_age)/age_sigma 231 241.9308309627 reducing max timestep prior to age target 231 1.5725504012575979D+09 (age_target - star_age)/age_sigma 232 237.2596670272 reducing max timestep prior to age target 232 1.5421878356767693D+09 (age_target - star_age)/age_sigma 233 232.6819263704 reducing max timestep prior to age target 233 1.5124325214075575D+09 (age_target - star_age)/age_sigma 234 228.1957405267 reducing max timestep prior to age target 234 1.4832723134237294D+09 (age_target - star_age)/age_sigma 235 223.7992783999 reducing max timestep prior to age target 235 1.4546953095995784D+09 (age_target - star_age)/age_sigma 236 219.4907455157 reducing max timestep prior to age target 236 1.4266898458519101D+09 (age_target - star_age)/age_sigma 237 215.2683832891 reducing max timestep prior to age target 237 1.3992444913791952D+09 (age_target - star_age)/age_sigma 239 206.9925533250 reducing max timestep prior to age target 239 1.3454515966126742D+09 240 7.186139 5746.027 -0.000207 -0.000207 1.000000 1.000000 0.421987 0.005013 0.258916 -1.578436 514 0 7.4209E+00 7.186139 0.003845 -43.245963 -1.629674 -99.000000 0.000000 0.558710 0.008480 0.016937 0.108446 10 3.2504E+09 2.120841 -0.000145 -99.000000 -99.000000 -6.916273 0.000000 0.000019 0.001960 0.019303 0.000E+00 max_dt rel_E_err 1.7939009484217407D-13 log_rel_run_E_err -10.4158242646458099 (age_target - star_age)/age_sigma 240 202.9373966426 reducing max timestep prior to age target 240 1.3190930781770792D+09 (age_target - star_age)/age_sigma 241 198.9633430939 reducing max timestep prior to age target 241 1.2932617301101956D+09 (age_target - star_age)/age_sigma 242 195.0687706161 reducing max timestep prior to age target 242 1.2679470090046496D+09 (age_target - star_age)/age_sigma 243 191.2520895879 reducing max timestep prior to age target 243 1.2431385823212147D+09 (age_target - star_age)/age_sigma 244 187.5117421802 reducing max timestep prior to age target 244 1.2188263241714487D+09 (age_target - star_age)/age_sigma 245 183.8462017207 reducing max timestep prior to age target 245 1.1950003111846781D+09 (age_target - star_age)/age_sigma 246 180.2539720704 reducing max timestep prior to age target 246 1.1716508184576430D+09 (age_target - star_age)/age_sigma 247 176.7335870131 reducing max timestep prior to age target 247 1.1487683155851483D+09 (age_target - star_age)/age_sigma 248 173.2836096569 reducing max timestep prior to age target 248 1.1263434627701030D+09 (age_target - star_age)/age_sigma 249 169.9026318479 reducing max timestep prior to age target 249 1.1043671070113592D+09 250 7.190554 5750.120 0.008532 0.008532 1.000000 1.000000 0.399927 0.005086 0.257156 -1.568011 515 0 7.3332E+00 7.190554 0.007595 -42.957386 -1.615372 -99.000000 0.000000 0.580751 0.008415 0.016833 0.110965 10 3.4867E+09 2.138453 0.008591 -99.000000 -99.000000 -6.922814 0.000000 0.000019 0.001963 0.019322 0.000E+00 max_dt rel_E_err 1.8211259417186741D-13 log_rel_run_E_err -10.3962588513193630 (age_target - star_age)/age_sigma 250 166.5892735950 reducing max timestep prior to age target 250 1.0828302783677902D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 163.3421825072 reducing max timestep prior to age target 251 1.0617241862970929D+09 (age_target - star_age)/age_sigma 252 160.1600332412 reducing max timestep prior to age target 252 1.0410402160678091D+09 (age_target - star_age)/age_sigma 253 157.0415269605 reducing max timestep prior to age target 253 1.0207699252431111D+09 (age_target - star_age)/age_sigma 254 153.9853908054 reducing max timestep prior to age target 254 1.0009050402349072D+09 (age_target - star_age)/age_sigma 255 150.9903773734 reducing max timestep prior to age target 255 9.8143745292686701D+08 (age_target - star_age)/age_sigma 256 148.0552642100 reducing max timestep prior to age target 256 9.6235921736498785D+08 (age_target - star_age)/age_sigma 257 145.1788533099 reducing max timestep prior to age target 257 9.4366254651434612D+08 (age_target - star_age)/age_sigma 258 142.3599706278 reducing max timestep prior to age target 258 9.2533980908071756D+08 (age_target - star_age)/age_sigma 259 139.5974655993 reducing max timestep prior to age target 259 9.0738352639576149D+08 260 7.194284 5753.237 0.015766 0.015766 1.000000 1.000000 0.381665 0.005157 0.255752 -1.559232 517 0 7.2454E+00 7.194284 0.010740 -42.716523 -1.603142 -99.000000 0.000000 0.599000 0.008350 0.016750 0.113165 10 3.6797E+09 2.153283 0.015822 -99.000000 -99.000000 -6.928197 0.000000 0.000020 0.001965 0.019335 0.000E+00 max_dt rel_E_err 1.8846780873005704D-13 log_rel_run_E_err -10.3774716025409184 (age_target - star_age)/age_sigma 260 136.8902106715 reducing max timestep prior to age target 260 8.8978636936450434D+08 (age_target - star_age)/age_sigma 261 134.2371008421 reducing max timestep prior to age target 261 8.7254115547387218D+08 (age_target - star_age)/age_sigma 262 131.6370532094 reducing max timestep prior to age target 262 8.5564084586105299D+08 (age_target - star_age)/age_sigma 263 129.0890065293 reducing max timestep prior to age target 263 8.3907854244049025D+08 (age_target - star_age)/age_sigma 264 126.5919207828 reducing max timestep prior to age target 264 8.2284748508833885D+08 (age_target - star_age)/age_sigma 265 124.1447767513 reducing max timestep prior to age target 265 8.0694104888323021D+08 (age_target - star_age)/age_sigma 266 121.7465756003 reducing max timestep prior to age target 266 7.9135274140222359D+08 (age_target - star_age)/age_sigma 267 119.3963384724 reducing max timestep prior to age target 267 7.7607620007083750D+08 (age_target - star_age)/age_sigma 268 117.0931060871 reducing max timestep prior to age target 268 7.6110518956607866D+08 (age_target - star_age)/age_sigma 269 114.8359383494 reducing max timestep prior to age target 269 7.4643359927141523D+08 270 7.197416 5755.662 0.021743 0.021743 1.000000 1.000000 0.366573 0.005223 0.254549 -1.551897 517 0 7.1577E+00 7.197416 0.013361 -42.516097 -1.592760 -99.000000 0.000000 0.614084 0.008287 0.016679 0.115067 9 3.8374E+09 2.165698 0.021796 -99.000000 -99.000000 -6.932623 0.000000 0.000021 0.001967 0.019344 0.000E+00 max_dt rel_E_err 1.7988020037504298D-13 log_rel_run_E_err -10.3592872871724655 (age_target - star_age)/age_sigma 270 112.6239139666 reducing max timestep prior to age target 270 7.3205544078264523D+08 (age_target - star_age)/age_sigma 271 110.4561300713 reducing max timestep prior to age target 271 7.1796484546365070D+08 (age_target - star_age)/age_sigma 272 108.3317018540 reducing max timestep prior to age target 272 7.0415606205103540D+08 (age_target - star_age)/age_sigma 274 104.1678225480 reducing max timestep prior to age target 274 6.7709084656231117D+08 (age_target - star_age)/age_sigma 275 102.1275216881 reducing max timestep prior to age target 275 6.6382889097283554D+08 (age_target - star_age)/age_sigma 276 100.1280268454 reducing max timestep prior to age target 276 6.5083217449514961D+08 (age_target - star_age)/age_sigma 277 98.1685218995 reducing max timestep prior to age target 277 6.3809539234701729D+08 (age_target - star_age)/age_sigma 278 96.2482070526 reducing max timestep prior to age target 278 6.2561334584184790D+08 (age_target - star_age)/age_sigma 279 94.3662985026 reducing max timestep prior to age target 279 6.1338094026678228D+08 280 7.200072 5757.553 0.026736 0.026736 1.000000 1.000000 0.353946 0.005284 0.253569 -1.545697 517 0 7.0787E+00 7.200072 0.015570 -42.347474 -1.583885 -99.000000 0.000000 0.626705 0.008226 0.016621 0.116721 7 3.9681E+09 2.176199 0.026786 -15.653560 -99.000000 -6.936301 0.000000 0.000021 0.001969 0.019350 0.000E+00 max_dt rel_E_err 1.7997518766258648D-13 log_rel_run_E_err -10.3415608267764814 (age_target - star_age)/age_sigma 280 92.5220281236 reducing max timestep prior to age target 280 6.0139318280321741D+08 (age_target - star_age)/age_sigma 281 90.7146431521 reducing max timestep prior to age target 281 5.8964518048892403D+08 (age_target - star_age)/age_sigma 282 88.9434058801 reducing max timestep prior to age target 282 5.7813213822091627D+08 (age_target - star_age)/age_sigma 283 87.2075933536 reducing max timestep prior to age target 283 5.6684935679826880D+08 (age_target - star_age)/age_sigma 284 85.5064970775 reducing max timestep prior to age target 284 5.5579223100407410D+08 (age_target - star_age)/age_sigma 285 83.8394227270 reducing max timestep prior to age target 285 5.4495624772576380D+08 (age_target - star_age)/age_sigma 286 82.2056898635 reducing max timestep prior to age target 286 5.3433698411301947D+08 (age_target - star_age)/age_sigma 287 80.6046316573 reducing max timestep prior to age target 287 5.2393010577253008D+08 (age_target - star_age)/age_sigma 288 79.0355946152 reducing max timestep prior to age target 288 5.1373136499885082D+08 (age_target - star_age)/age_sigma 289 77.4979383139 reducing max timestep prior to age target 289 5.0373659904064465D+08 290 7.202298 5759.023 0.030870 0.030870 1.000000 1.000000 0.343473 0.005339 0.252777 -1.540501 516 0 6.9910E+00 7.202298 0.017415 -42.206977 -1.576395 -99.000000 0.000000 0.637174 0.008171 0.016573 0.118139 5 4.0756E+09 2.184993 0.030918 -15.176439 -99.000000 -6.939327 0.000000 0.000021 0.001970 0.019354 0.000E+00 max_dt rel_E_err 1.7904094673004980D-13 log_rel_run_E_err -10.3250688935312152 (age_target - star_age)/age_sigma 290 75.9910351387 reducing max timestep prior to age target 290 4.9394172840160275D+08 (age_target - star_age)/age_sigma 291 74.5142700270 reducing max timestep prior to age target 291 4.8434275517534161D+08 (age_target - star_age)/age_sigma 292 73.0670402175 reducing max timestep prior to age target 292 4.7493576141360569D+08 (age_target - star_age)/age_sigma 293 71.6487550042 reducing max timestep prior to age target 293 4.6571690752710438D+08 (age_target - star_age)/age_sigma 294 70.2588354951 reducing max timestep prior to age target 294 4.5668243071833277D+08 (age_target - star_age)/age_sigma 295 68.8967143763 reducing max timestep prior to age target 295 4.4782864344573736D+08 (age_target - star_age)/age_sigma 296 67.5618356798 reducing max timestep prior to age target 296 4.3915193191859341D+08 (age_target - star_age)/age_sigma 297 66.2536545572 reducing max timestep prior to age target 297 4.3064875462199259D+08 (age_target - star_age)/age_sigma 298 64.9716370571 reducing max timestep prior to age target 298 4.2231564087132359D+08 (age_target - star_age)/age_sigma 299 63.7152599070 reducing max timestep prior to age target 299 4.1414918939566803D+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 7.204145 5760.176 0.034267 0.034267 1.000000 1.000000 0.334853 0.005388 0.252103 -1.536181 516 0 6.9033E+00 7.204145 0.018938 -42.090887 -1.570139 -99.000000 0.000000 0.645790 0.008121 0.016533 0.119340 5 4.1634E+09 2.192290 0.034314 -99.000000 -99.000000 -6.941810 0.000000 0.000022 0.001971 0.019356 0.000E+00 max_dt rel_E_err 1.8296935701531358D-13 log_rel_run_E_err -10.3088165037728725 (age_target - star_age)/age_sigma 300 62.4840102999 reducing max timestep prior to age target 300 4.0614606694952583D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.2773856850 reducing max timestep prior to age target 301 3.9830300695230627D+08 (age_target - star_age)/age_sigma 302 60.0948935623 reducing max timestep prior to age target 302 3.9061680815503073D+08 (age_target - star_age)/age_sigma 303 58.9360512821 reducing max timestep prior to age target 303 3.8308433333370113D+08 (age_target - star_age)/age_sigma 304 57.8003858475 reducing max timestep prior to age target 304 3.7570250800879765D+08 (age_target - star_age)/age_sigma 305 56.6874337216 reducing max timestep prior to age target 305 3.6846831919039249D+08 (age_target - star_age)/age_sigma 306 55.5967406382 reducing max timestep prior to age target 306 3.6137881414835548D+08 (age_target - star_age)/age_sigma 308 53.4589821948 reducing max timestep prior to age target 308 3.4748338426596355D+08 (age_target - star_age)/age_sigma 309 52.4114805575 reducing max timestep prior to age target 309 3.4067462362359095D+08 310 7.205682 5761.084 0.037072 0.037072 1.000000 1.000000 0.327727 0.005430 0.251555 -1.532575 516 0 6.8243E+00 7.205682 0.020203 -41.994616 -1.564906 -99.000000 0.000000 0.652915 0.008077 0.016500 0.120356 5 4.2355E+09 2.198367 0.037117 -99.000000 -99.000000 -6.943853 0.000000 0.000022 0.001972 0.019358 0.000E+00 max_dt rel_E_err 1.7743814799735986D-13 log_rel_run_E_err -10.2932834230823911 (age_target - star_age)/age_sigma 310 51.3849289529 reducing max timestep prior to age target 310 3.3400203819406652D+08 (age_target - star_age)/age_sigma 311 50.3789083805 reducing max timestep prior to age target 311 3.2746290447313213D+08 (age_target - star_age)/age_sigma 312 49.3930082195 reducing max timestep prior to age target 312 3.2105455342661667D+08 (age_target - star_age)/age_sigma 313 48.4268260617 reducing max timestep prior to age target 313 3.1477436940103149D+08 (age_target - star_age)/age_sigma 314 47.4799675471 reducing max timestep prior to age target 314 3.0861978905595779D+08 (age_target - star_age)/age_sigma 315 46.5520462027 reducing max timestep prior to age target 315 3.0258830031778526D+08 (age_target - star_age)/age_sigma 316 45.6426832853 reducing max timestep prior to age target 316 2.9667744135437679D+08 (age_target - star_age)/age_sigma 317 44.7515076262 reducing max timestep prior to age target 317 2.9088479957023621D+08 (age_target - star_age)/age_sigma 318 43.8781554803 reducing max timestep prior to age target 318 2.8520801062177801D+08 (age_target - star_age)/age_sigma 319 43.0222703773 reducing max timestep prior to age target 319 2.7964475745228958D+08 320 7.206971 5761.811 0.039406 0.039406 1.000000 1.000000 0.321789 0.005468 0.251106 -1.529548 516 0 6.7366E+00 7.206971 0.021260 -41.914185 -1.560505 -99.000000 0.000000 0.658852 0.008039 0.016473 0.121220 5 4.2953E+09 2.203461 0.039449 -15.352530 -99.000000 -6.945546 0.000000 0.000022 0.001973 0.019359 0.000E+00 max_dt rel_E_err 1.7949662628793535D-13 log_rel_run_E_err -10.2780802430368343 (age_target - star_age)/age_sigma 320 42.1835029763 reducing max timestep prior to age target 320 2.7419276934619045D+08 (age_target - star_age)/age_sigma 321 41.3615109234 reducing max timestep prior to age target 321 2.6884982100221348D+08 (age_target - star_age)/age_sigma 322 40.5559587116 reducing max timestep prior to age target 322 2.6361373162511635D+08 (age_target - star_age)/age_sigma 323 39.7665175439 reducing max timestep prior to age target 323 2.5848236403556156D+08 (age_target - star_age)/age_sigma 324 38.9928651997 reducing max timestep prior to age target 324 2.5345362379779720D+08 (age_target - star_age)/age_sigma 325 38.2346859023 reducing max timestep prior to age target 325 2.4852545836478806D+08 (age_target - star_age)/age_sigma 326 37.4916701908 reducing max timestep prior to age target 326 2.4369585624043941D+08 (age_target - star_age)/age_sigma 327 36.7635147936 reducing max timestep prior to age target 327 2.3896284615857792D+08 (age_target - star_age)/age_sigma 328 36.0499225044 reducing max timestep prior to age target 328 2.3432449627835369D+08 (age_target - star_age)/age_sigma 329 35.3506020609 reducing max timestep prior to age target 329 2.2977891339573288D+08 330 7.208033 5762.385 0.041318 0.041318 1.000000 1.000000 0.316916 0.005499 0.250742 -1.527047 516 0 6.6488E+00 7.208033 0.022129 -41.848044 -1.556864 -99.000000 0.000000 0.663725 0.008005 0.016451 0.121941 5 4.3442E+09 2.207661 0.041360 -15.653560 -99.000000 -6.946930 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt rel_E_err 1.7630391046630755D-13 log_rel_run_E_err -10.2636475169097636 (age_target - star_age)/age_sigma 330 34.6652680263 reducing max timestep prior to age target 330 2.2532424217076492D+08 (age_target - star_age)/age_sigma 331 33.9936406724 reducing max timestep prior to age target 331 2.2095866437029648D+08 (age_target - star_age)/age_sigma 332 33.3354458655 reducing max timestep prior to age target 332 2.1668039812583733D+08 (age_target - star_age)/age_sigma 333 32.6904149548 reducing max timestep prior to age target 333 2.1248769720626831D+08 (age_target - star_age)/age_sigma 334 32.0582846623 reducing max timestep prior to age target 334 2.0837885030508995D+08 (age_target - star_age)/age_sigma 335 31.4387969757 reducing max timestep prior to age target 335 2.0435218034193516D+08 (age_target - star_age)/age_sigma 336 30.8316990428 reducing max timestep prior to age target 336 2.0040604377804375D+08 (age_target - star_age)/age_sigma 337 30.2367430685 reducing max timestep prior to age target 337 1.9653882994542980D+08 (age_target - star_age)/age_sigma 338 29.6536862138 reducing max timestep prior to age target 338 1.9274896038946819D+08 (age_target - star_age)/age_sigma 339 29.0822904961 reducing max timestep prior to age target 339 1.8903488822462559D+08 340 7.208908 5762.841 0.042884 0.042884 1.000000 1.000000 0.312920 0.005526 0.250446 -1.524988 516 0 6.5611E+00 7.208908 0.022842 -41.793702 -1.553860 -99.000000 0.000000 0.667721 0.007977 0.016433 0.122540 5 4.3841E+09 2.211120 0.042925 -15.653560 -99.000000 -6.948059 0.000000 0.000023 0.001974 0.019359 0.000E+00 max_dt rel_E_err 1.8826500538613035D-13 log_rel_run_E_err -10.2496180445019487 (age_target - star_age)/age_sigma 340 28.5223226928 reducing max timestep prior to age target 340 1.8539509750308037D+08 (age_target - star_age)/age_sigma 341 27.9735542455 reducing max timestep prior to age target 341 1.8182810259596539D+08 (age_target - star_age)/age_sigma 343 26.8979680889 reducing max timestep prior to age target 343 1.7483679257802105D+08 (age_target - star_age)/age_sigma 344 26.3709308722 reducing max timestep prior to age target 344 1.7141105066922760D+08 (age_target - star_age)/age_sigma 345 25.8544343998 reducing max timestep prior to age target 345 1.6805382359861088D+08 (age_target - star_age)/age_sigma 346 25.3482678568 reducing max timestep prior to age target 346 1.6476374106940651D+08 (age_target - star_age)/age_sigma 347 24.8522246447 reducing max timestep prior to age target 347 1.6153946019078541D+08 (age_target - star_age)/age_sigma 348 24.3661022969 reducing max timestep prior to age target 348 1.5837966492973804D+08 (age_target - star_age)/age_sigma 349 23.8897023960 reducing max timestep prior to age target 349 1.5528306557391071D+08 350 7.209638 5763.211 0.044186 0.044186 1.000000 1.000000 0.309592 0.005549 0.250202 -1.523263 516 0 6.4821E+00 7.209638 0.023437 -41.748404 -1.551346 -99.000000 0.000000 0.671048 0.007953 0.016418 0.123045 5 4.4173E+09 2.214010 0.044226 -99.000000 -99.000000 -6.948997 0.000000 0.000023 0.001974 0.019359 0.000E+00 max_dt rel_E_err 1.6889003039503562D-13 log_rel_run_E_err -10.2360392262200985 (age_target - star_age)/age_sigma 350 23.4228304931 reducing max timestep prior to age target 350 1.5224839820520020D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9652960283 reducing max timestep prior to age target 351 1.4927442418386364D+08 (age_target - star_age)/age_sigma 352 22.5169122528 reducing max timestep prior to age target 352 1.4635992964295387D+08 (age_target - star_age)/age_sigma 353 22.0774961527 reducing max timestep prior to age target 353 1.4350372499286270D+08 (age_target - star_age)/age_sigma 354 21.6468683747 reducing max timestep prior to age target 354 1.4070464443577290D+08 (age_target - star_age)/age_sigma 355 21.2248531523 reducing max timestep prior to age target 355 1.3796154548982525D+08 (age_target - star_age)/age_sigma 356 20.8112782343 reducing max timestep prior to age target 356 1.3527330852279568D+08 (age_target - star_age)/age_sigma 357 20.4059748146 reducing max timestep prior to age target 357 1.3263883629510689D+08 (age_target - star_age)/age_sigma 358 20.0087774634 reducing max timestep prior to age target 358 1.3005705351197243D+08 (age_target - star_age)/age_sigma 359 19.6195240592 reducing max timestep prior to age target 359 1.2752690638450050D+08 360 7.210241 5763.508 0.045257 0.045257 1.000000 1.000000 0.306855 0.005569 0.250003 -1.521839 516 0 6.3944E+00 7.210241 0.023927 -41.711090 -1.549269 -99.000000 0.000000 0.673786 0.007932 0.016406 0.123464 5 4.4445E+09 2.216394 0.045296 -99.000000 -99.000000 -6.949766 0.000000 0.000023 0.001974 0.019359 0.000E+00 max_dt rel_E_err 1.8254137610494852D-13 log_rel_run_E_err -10.2229177868580141 (age_target - star_age)/age_sigma 360 19.2380557230 reducing max timestep prior to age target 360 1.2504736219957829D+08 (age_target - star_age)/age_sigma 361 18.8642167536 reducing max timestep prior to age target 361 1.2261740889835453D+08 (age_target - star_age)/age_sigma 362 18.4978545636 reducing max timestep prior to age target 362 1.2023605466315460D+08 (age_target - star_age)/age_sigma 363 18.1388196173 reducing max timestep prior to age target 363 1.1790232751265907D+08 (age_target - star_age)/age_sigma 364 17.7869653700 reducing max timestep prior to age target 364 1.1561527490517330D+08 (age_target - star_age)/age_sigma 365 17.4421482077 reducing max timestep prior to age target 365 1.1337396334983730D+08 (age_target - star_age)/age_sigma 366 17.1042273886 reducing max timestep prior to age target 366 1.1117747802560806D+08 (age_target - star_age)/age_sigma 367 16.7730649858 reducing max timestep prior to age target 367 1.0902492240786362D+08 (age_target - star_age)/age_sigma 368 16.4485258311 reducing max timestep prior to age target 368 1.0691541790247440D+08 (age_target - star_age)/age_sigma 369 16.1304774596 reducing max timestep prior to age target 369 1.0484810348719215D+08 370 7.210736 5763.746 0.046133 0.046133 1.000000 1.000000 0.304614 0.005585 0.249840 -1.520669 516 0 6.3066E+00 7.210736 0.024329 -41.680506 -1.547562 -99.000000 0.000000 0.676027 0.007915 0.016396 0.123810 5 4.4667E+09 2.218351 0.046172 -99.000000 -99.000000 -6.950395 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8126380129415360D-13 log_rel_run_E_err -10.2103734019872565 (age_target - star_age)/age_sigma 370 15.8187900554 reducing max timestep prior to age target 370 1.0282213536021614D+08 (age_target - star_age)/age_sigma 371 15.5133363994 reducing max timestep prior to age target 371 1.0083668659577942D+08 (age_target - star_age)/age_sigma 372 15.2139918164 reducing max timestep prior to age target 372 9.8890946806631088D+07 (age_target - star_age)/age_sigma 373 14.9206341251 reducing max timestep prior to age target 373 9.6984121813265800D+07 (age_target - star_age)/age_sigma 374 14.6331435877 reducing max timestep prior to age target 374 9.5115433319767952D+07 (age_target - star_age)/age_sigma 375 14.3514028609 reducing max timestep prior to age target 375 9.3284118596140862D+07 (age_target - star_age)/age_sigma 376 14.0752969488 reducing max timestep prior to age target 376 9.1489430166985512D+07 (age_target - star_age)/age_sigma 378 13.5341293609 reducing max timestep prior to age target 378 8.7971840845841408D+07 (age_target - star_age)/age_sigma 379 13.2689572428 reducing max timestep prior to age target 379 8.6248222078480721D+07 380 7.211144 5763.951 0.046855 0.046855 1.000000 1.000000 0.302769 0.005599 0.249707 -1.519706 517 0 6.2277E+00 7.211144 0.024659 -41.655298 -1.546152 -99.000000 0.000000 0.677873 0.007901 0.016388 0.124096 5 4.4849E+09 2.219965 0.046893 -99.000000 -99.000000 -6.950914 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.8398432549472993D-13 log_rel_run_E_err -10.1979287482727727 (age_target - star_age)/age_sigma 380 13.0090885671 reducing max timestep prior to age target 380 8.4559075686467171D+07 (age_target - star_age)/age_sigma 381 12.7544172650 reducing max timestep prior to age target 381 8.2903712222293854D+07 (age_target - star_age)/age_sigma 382 12.5048393888 reducing max timestep prior to age target 382 8.1281456027404785D+07 (age_target - star_age)/age_sigma 383 12.2602530702 reducing max timestep prior to age target 383 7.9691644956412315D+07 (age_target - star_age)/age_sigma 384 12.0205584780 reducing max timestep prior to age target 384 7.8133630106840134D+07 (age_target - star_age)/age_sigma 385 11.7856577776 reducing max timestep prior to age target 385 7.6606775554259300D+07 (age_target - star_age)/age_sigma 386 11.5554550912 reducing max timestep prior to age target 386 7.5110458092729568D+07 (age_target - star_age)/age_sigma 387 11.3298564585 reducing max timestep prior to age target 387 7.3644066980431557D+07 (age_target - star_age)/age_sigma 388 11.1087697985 reducing max timestep prior to age target 388 7.2207003690379143D+07 (age_target - star_age)/age_sigma 389 10.8921048717 reducing max timestep prior to age target 389 7.0798681666128159D+07 390 7.211483 5764.109 0.047453 0.047453 1.000000 1.000000 0.301237 0.005610 0.249597 -1.518904 517 0 6.1399E+00 7.211483 0.024934 -41.634363 -1.544979 -99.000000 0.000000 0.679405 0.007889 0.016382 0.124335 5 4.5001E+09 2.221307 0.047490 -99.000000 -99.000000 -6.951342 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7745573414948650D-13 log_rel_run_E_err -10.1858742546188878 (age_target - star_age)/age_sigma 390 10.6797732434 reducing max timestep prior to age target 390 6.9418526082361221D+07 (age_target - star_age)/age_sigma 391 10.4716882477 reducing max timestep prior to age target 391 6.8065973610269547D+07 (age_target - star_age)/age_sigma 392 10.2677649519 reducing max timestep prior to age target 392 6.6740472187621117D+07 (age_target - star_age)/age_sigma 393 10.0679201221 reducing max timestep prior to age target 393 6.5441480793424606D+07 (age_target - star_age)/age_sigma 394 9.8720721888 reducing max timestep prior to age target 394 6.4168469227112770D+07 (age_target - star_age)/age_sigma 395 9.6801412142 reducing max timestep prior to age target 395 6.2920917892126083D+07 (age_target - star_age)/age_sigma 396 9.4920488591 reducing max timestep prior to age target 396 6.1698317583839417D+07 (age_target - star_age)/age_sigma 397 9.3077183510 reducing max timestep prior to age target 397 6.0500169281719208D+07 (age_target - star_age)/age_sigma 398 9.1270744532 reducing max timestep prior to age target 398 5.9325983945640564D+07 (age_target - star_age)/age_sigma 399 8.9500434333 reducing max timestep prior to age target 399 5.8175282316283226D+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 7.211761 5764.237 0.047941 0.047941 1.000000 1.000000 0.299984 0.005619 0.249507 -1.518247 517 0 6.0522E+00 7.211761 0.025159 -41.617227 -1.544019 -99.000000 0.000000 0.680658 0.007879 0.016376 0.124532 5 4.5125E+09 2.222406 0.047979 -99.000000 -99.000000 -6.951691 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt rel_E_err 1.7786789158281789D-13 log_rel_run_E_err -10.1741064443483236 (age_target - star_age)/age_sigma 400 8.7765530338 reducing max timestep prior to age target 400 5.7047594719513893D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.6065324423 reducing max timestep prior to age target 401 5.5942460874679565D+07 (age_target - star_age)/age_sigma 402 8.4399122626 reducing max timestep prior to age target 402 5.4859429706742287D+07 (age_target - star_age)/age_sigma 403 8.2766244865 reducing max timestep prior to age target 403 5.3798059162163734D+07 (age_target - star_age)/age_sigma 404 8.1166024659 reducing max timestep prior to age target 404 5.2757916028475761D+07 (age_target - star_age)/age_sigma 405 7.9597808858 reducing max timestep prior to age target 405 5.1738575757462502D+07 (age_target - star_age)/age_sigma 406 7.8060957372 reducing max timestep prior to age target 406 5.0739622291869164D+07 (age_target - star_age)/age_sigma 407 7.6554842916 reducing max timestep prior to age target 407 4.9760647895588875D+07 (age_target - star_age)/age_sigma 408 7.5078850750 reducing max timestep prior to age target 408 4.8801252987233162D+07 (age_target - star_age)/age_sigma 409 7.3632378426 reducing max timestep prior to age target 409 4.7861045977045059D+07 410 7.211988 5764.340 0.048341 0.048341 1.000000 1.000000 0.298959 0.005627 0.249433 -1.517708 517 0 5.9644E+00 7.211988 0.025343 -41.603211 -1.543232 -99.000000 0.000000 0.681683 0.007870 0.016372 0.124693 3 4.5226E+09 2.223306 0.048378 -99.000000 -99.000000 -6.951977 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.9152656654236504D-13 log_rel_run_E_err -10.1621698908630282 (age_target - star_age)/age_sigma 410 7.2214835549 reducing max timestep prior to age target 410 4.6939643107060432D+07 (age_target - star_age)/age_sigma 411 7.0825643530 reducing max timestep prior to age target 411 4.6036668294475555D+07 (age_target - star_age)/age_sigma 413 6.8102827172 reducing max timestep prior to age target 413 4.4266837661808968D+07 (age_target - star_age)/age_sigma 414 6.6768647157 reducing max timestep prior to age target 414 4.3399620651802063D+07 (age_target - star_age)/age_sigma 415 6.5461150742 reducing max timestep prior to age target 415 4.2549747981994629D+07 (age_target - star_age)/age_sigma 416 6.4179804255 reducing max timestep prior to age target 416 4.1716872765584946D+07 (age_target - star_age)/age_sigma 417 6.2924084698 reducing max timestep prior to age target 417 4.0900655053503036D+07 (age_target - star_age)/age_sigma 418 6.1693479532 reducing max timestep prior to age target 418 4.0100761695662498D+07 (age_target - star_age)/age_sigma 419 6.0487486469 reducing max timestep prior to age target 419 3.9316866204977989D+07 420 7.212177 5764.426 0.048673 0.048673 1.000000 1.000000 0.298107 0.005633 0.249372 -1.517260 517 0 5.8855E+00 7.212177 0.025496 -41.591565 -1.542577 -99.000000 0.000000 0.682534 0.007863 0.016368 0.124828 3 4.5310E+09 2.224055 0.048710 -99.000000 -99.000000 -6.952214 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.8058852368736226D-13 log_rel_run_E_err -10.1510118886891636 (age_target - star_age)/age_sigma 420 5.9305613268 reducing max timestep prior to age target 420 3.8548648624108315D+07 (age_target - star_age)/age_sigma 421 5.8147377531 reducing max timestep prior to age target 421 3.7795795394855499D+07 (age_target - star_age)/age_sigma 422 5.7012306508 reducing max timestep prior to age target 422 3.7057999230187416D+07 (age_target - star_age)/age_sigma 423 5.5899936906 reducing max timestep prior to age target 423 3.6334958988813400D+07 (age_target - star_age)/age_sigma 424 5.4809814696 reducing max timestep prior to age target 424 3.5626379552266121D+07 (age_target - star_age)/age_sigma 425 5.3741494930 reducing max timestep prior to age target 425 3.4931971704450607D+07 (age_target - star_age)/age_sigma 426 5.2694541559 reducing max timestep prior to age target 426 3.4251452013590813D+07 (age_target - star_age)/age_sigma 427 5.1668527256 reducing max timestep prior to age target 427 3.3584542716547966D+07 (age_target - star_age)/age_sigma 428 5.0663033239 reducing max timestep prior to age target 428 3.2930971605446815D+07 (age_target - star_age)/age_sigma 429 4.9669640431 remaining steps and years until age target 429 50 3.2285266279850006D+07 430 7.212333 5764.495 0.048946 0.048946 1.000000 1.000000 0.297406 0.005639 0.249322 -1.516890 517 0 5.8100E+00 7.212333 0.025622 -41.581967 -1.542037 -99.000000 0.000000 0.683236 0.007858 0.016365 0.124939 3 4.5379E+09 2.224672 0.048983 -99.000000 -99.000000 -6.952409 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.7722025791879957D-13 log_rel_run_E_err -10.1400811786717160 (age_target - star_age)/age_sigma 430 4.8676247622 remaining steps and years until age target 430 49 3.1639560954253197D+07 (age_target - star_age)/age_sigma 431 4.7682854813 remaining steps and years until age target 431 48 3.0993855628656387D+07 (age_target - star_age)/age_sigma 432 4.6689462005 remaining steps and years until age target 432 47 3.0348150303059578D+07 (age_target - star_age)/age_sigma 433 4.5696069196 remaining steps and years until age target 433 46 2.9702444977462769D+07 (age_target - star_age)/age_sigma 434 4.4702676387 remaining steps and years until age target 434 45 2.9056739651865959D+07 (age_target - star_age)/age_sigma 435 4.3709283579 reducing max timestep prior to age target 435 2.8411034326268196D+07 (age_target - star_age)/age_sigma 436 4.2715890770 remaining steps and years until age target 436 43 2.7765329000671387D+07 (age_target - star_age)/age_sigma 437 4.1722497962 remaining steps and years until age target 437 42 2.7119623675074577D+07 (age_target - star_age)/age_sigma 438 4.0729105153 remaining steps and years until age target 438 41 2.6473918349477768D+07 (age_target - star_age)/age_sigma 439 3.9735712344 remaining steps and years until age target 439 40 2.5828213023880959D+07 440 7.212479 5764.561 0.049202 0.049202 1.000000 1.000000 0.296750 0.005644 0.249276 -1.516544 517 0 5.8100E+00 7.212479 0.025740 -41.572989 -1.541531 -99.000000 0.000000 0.683892 0.007852 0.016362 0.125043 3 4.5443E+09 2.225249 0.049239 -15.352530 -99.000000 -6.952592 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.8184086113175101D-13 log_rel_run_E_err -10.1293731036480263 (age_target - star_age)/age_sigma 440 3.8742319536 remaining steps and years until age target 440 39 2.5182507698284149D+07 (age_target - star_age)/age_sigma 441 3.7748926727 remaining steps and years until age target 441 38 2.4536802372687340D+07 (age_target - star_age)/age_sigma 442 3.6755533919 remaining steps and years until age target 442 37 2.3891097047090530D+07 (age_target - star_age)/age_sigma 443 3.5762141110 remaining steps and years until age target 443 36 2.3245391721493721D+07 (age_target - star_age)/age_sigma 444 3.4768748301 remaining steps and years until age target 444 35 2.2599686395896912D+07 (age_target - star_age)/age_sigma 445 3.3775355493 remaining steps and years until age target 445 34 2.1953981070300102D+07 (age_target - star_age)/age_sigma 446 3.2781962684 remaining steps and years until age target 446 33 2.1308275744703293D+07 (age_target - star_age)/age_sigma 447 3.1788569876 remaining steps and years until age target 447 32 2.0662570419106483D+07 (age_target - star_age)/age_sigma 448 3.0795177067 remaining steps and years until age target 448 31 2.0016865093509674D+07 (age_target - star_age)/age_sigma 449 2.9801784258 remaining steps and years until age target 449 30 1.9371159767912865D+07 450 7.212625 5764.626 0.049458 0.049458 1.000000 1.000000 0.296093 0.005649 0.249229 -1.516198 517 0 5.8100E+00 7.212625 0.025858 -41.564002 -1.541025 -99.000000 0.000000 0.684549 0.007847 0.016359 0.125147 3 4.5508E+09 2.225827 0.049494 -15.653560 -99.000000 -6.952774 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt rel_E_err 1.8393867435749919D-13 log_rel_run_E_err -10.1189639794441320 (age_target - star_age)/age_sigma 450 2.8808391450 reducing max timestep prior to age target 450 1.8725454442315102D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7814998641 remaining steps and years until age target 451 28 1.8079749116718292D+07 (age_target - star_age)/age_sigma 452 2.6821605832 remaining steps and years until age target 452 27 1.7434043791121483D+07 (age_target - star_age)/age_sigma 453 2.5828213024 remaining steps and years until age target 453 26 1.6788338465524673D+07 (age_target - star_age)/age_sigma 454 2.4834820215 remaining steps and years until age target 454 25 1.6142633139927864D+07 (age_target - star_age)/age_sigma 455 2.3841427407 remaining steps and years until age target 455 24 1.5496927814331055D+07 (age_target - star_age)/age_sigma 456 2.2848034598 remaining steps and years until age target 456 23 1.4851222488734245D+07 (age_target - star_age)/age_sigma 457 2.1854641789 reducing max timestep prior to age target 457 1.4205517163136482D+07 (age_target - star_age)/age_sigma 458 2.0861248981 remaining steps and years until age target 458 21 1.3559811837539673D+07 (age_target - star_age)/age_sigma 459 1.9867856172 remaining steps and years until age target 459 20 1.2914106511942863D+07 460 7.212771 5764.691 0.049713 0.049713 1.000000 1.000000 0.295437 0.005654 0.249182 -1.515852 517 0 5.8100E+00 7.212771 0.025976 -41.555008 -1.540518 -99.000000 0.000000 0.685205 0.007841 0.016357 0.125252 3 4.5572E+09 2.226405 0.049750 -99.000000 -99.000000 -6.952956 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.7994029837236509D-13 log_rel_run_E_err -10.1088951298661005 (age_target - star_age)/age_sigma 460 1.8874463364 remaining steps and years until age target 460 19 1.2268401186346054D+07 (age_target - star_age)/age_sigma 461 1.7881070555 reducing max timestep prior to age target 461 1.1622695860748291D+07 (age_target - star_age)/age_sigma 462 1.6887677746 remaining steps and years until age target 462 17 1.0976990535151482D+07 (age_target - star_age)/age_sigma 463 1.5894284938 reducing max timestep prior to age target 463 1.0331285209553719D+07 (age_target - star_age)/age_sigma 464 1.4900892129 remaining steps and years until age target 464 15 9.6855798839569092D+06 (age_target - star_age)/age_sigma 465 1.3907499321 remaining steps and years until age target 465 14 9.0398745583600998D+06 (age_target - star_age)/age_sigma 466 1.2914106512 remaining steps and years until age target 466 13 8.3941692327632904D+06 (age_target - star_age)/age_sigma 467 1.1920713703 reducing max timestep prior to age target 467 7.7484639071655273D+06 (age_target - star_age)/age_sigma 468 1.0927320895 remaining steps and years until age target 468 11 7.1027585815687180D+06 (age_target - star_age)/age_sigma 469 0.9933928086 reducing max timestep prior to age target 469 6.4570532559709549D+06 470 7.212917 5764.755 0.049969 0.049969 1.000000 1.000000 0.294780 0.005659 0.249135 -1.515506 517 0 5.8100E+00 7.212917 0.026094 -41.546007 -1.540011 -99.000000 0.000000 0.685863 0.007836 0.016354 0.125357 3 4.5637E+09 2.226984 0.050005 -99.000000 -99.000000 -6.953139 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.8203809474254904D-13 log_rel_run_E_err -10.0990319230170282 (age_target - star_age)/age_sigma 470 0.8940535277 remaining steps and years until age target 470 9 5.8113479303741455D+06 (age_target - star_age)/age_sigma 471 0.7947142469 remaining steps and years until age target 471 8 5.1656426047773361D+06 (age_target - star_age)/age_sigma 472 0.6953749660 remaining steps and years until age target 472 7 4.5199372791805267D+06 (age_target - star_age)/age_sigma 473 0.5960356852 reducing max timestep prior to age target 473 3.8742319535827637D+06 (age_target - star_age)/age_sigma 474 0.4966964043 remaining steps and years until age target 474 5 3.2285266279859543D+06 (age_target - star_age)/age_sigma 475 0.3973571234 reducing max timestep prior to age target 475 2.5828213023881912D+06 (age_target - star_age)/age_sigma 476 0.2980178426 remaining steps and years until age target 476 3 1.9371159767913818D+06 (age_target - star_age)/age_sigma 477 0.1986785617 reducing max timestep prior to age target 477 1.2914106511936188D+06 (age_target - star_age)/age_sigma 478 0.0993392809 remaining steps and years until age target 478 1 6.4570532559776306D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 479 334677.62 0.00 334677.62 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 varcontrol dt limit 82 max increase dt limit 1068 lgRho_cntr dt limit 37 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 334677.62 0.00 334677.62 have reached age_target runtime (minutes), retries, steps 4.77 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 7.213049 5764.813 0.050199 0.050199 1.000000 1.000000 0.294188 0.005664 0.249093 -1.515194 517 0 5.8100E+00 7.213049 0.026200 -41.537898 -1.539553 -99.000000 0.000000 0.686455 0.007831 0.016351 0.125451 3 4.5695E+09 2.227505 0.050235 -99.000000 -99.000000 -6.953303 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt rel_E_err 1.8308523821994817D-13 log_rel_run_E_err -10.0901481938170612 Teff 5764.8132271902 radius 1.0621856309 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 3867.0526867837 M_H -0.0128771740 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 165.8216100347 log_R 0.0262004220 delta_nu 129.4009081820 nu_max 2729.8470328750 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 334677.6247656061 model number 479 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 "08c12e86" "gfortran" "13.3.0" "x86_64-linux-25.12.1" "CRMATH" "20260107" "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 3.3351280955150846E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799356269539430E+03 1.0231387428323298E+00 -1.7398950154099558E-03 9.9345302525710756E-03 1.3680797539651249E+02 2.9640874280697080E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351280955150846E+05 0 0 0 0 0 0 0 2 3.3467762476560613E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7648132271902086E+03 1.0621856308706739E+00 -1.2877173992562437E-02 2.6200422035306429E-02 1.2940090818201503E+02 2.7298470328750154E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3467762476560613E+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 10 5.954452 4733.609 -12.856101 -12.856101 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 408 0 -5.0000E+00 5.954444 0.953935 -99.000000 -14.253967 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0000E-04 -1.867445 1.563333 -99.000000 -99.000000 -7.764077 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954453 4595.940 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954445 0.953760 -99.000000 -14.253976 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 2.0000E-04 -1.867443 1.511710 -99.000000 -99.000000 -7.736293 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4530.427 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 401 0 -5.0000E+00 5.954446 0.953652 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 3.0000E-04 -1.867443 1.486555 -99.000000 -99.000000 -7.718439 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954454 4490.712 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 402 0 -5.0000E+00 5.954446 0.953577 -99.000000 -14.253983 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 2 4.0000E-04 -1.867442 1.471108 -99.000000 -99.000000 -7.706332 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954454 4464.062 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954446 0.953520 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 5.0000E-04 -1.867442 1.460655 -99.000000 -99.000000 -7.697719 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954455 4323.737 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 400 0 -2.2907E+00 5.954447 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0230E-02 -1.867440 1.404230 -99.000000 -99.000000 -7.645804 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562476342257225D-01 20 5.954552 4317.072 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396069 400 0 7.1957E-01 5.954545 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0486E+01 -1.867292 1.401230 -99.000000 -99.000000 -7.642835 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246339201115486D-01 30 6.001277 4351.246 -12.207559 -12.207559 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245110 404 0 3.4810E+00 6.001277 0.905373 -99.000000 -13.605424 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9486E+03 -1.731750 1.319895 -99.000000 -99.000000 -7.599471 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180162 4462.647 -9.835710 -9.835710 1.000000 1.000000 0.700000 0.001010 0.279976 -5.625094 416 0 4.0475E+00 6.180162 0.720230 -99.000000 -11.233569 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7297E+04 -1.194696 0.993525 -99.000000 -99.000000 -7.420612 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357874 4518.645 -7.720824 -7.720824 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009229 434 0 4.5599E+00 6.357874 0.538106 -99.000000 -9.118668 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0284E+05 -0.661323 0.650938 -99.000000 -99.000000 -7.222183 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531927 4517.956 -5.852617 -5.852617 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405381 447 0 5.0799E+00 6.531927 0.360878 -99.000000 -7.250418 -99.000000 0.000000 0.280000 0.009381 0.019671 0.071139 3 1.0459E+06 -0.138879 0.296218 -99.000000 -99.000000 -6.983364 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 2.4714940988704279D-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 6.622733 4306.192 -4.896644 -4.896644 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028668 457 0 -4.2874E+00 6.622733 0.262138 -99.000000 -6.294392 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 5 2.5959E-04 0.157565 0.015342 -20.470040 -99.000000 -6.906587 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7705423896658061D-13 log_rel_run_E_err -11.5747509669653468 20 6.622734 4315.881 -4.896646 -4.896646 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028668 457 0 -3.4956E+00 6.622734 0.262150 -99.000000 -6.294394 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 3 1.8669E-03 0.157567 0.019271 -20.293948 -99.000000 -6.911054 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6626233436540432D-13 log_rel_run_E_err -11.2748911470756461 30 6.622737 4316.402 -4.896645 -4.896645 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028668 457 0 -2.7037E+00 6.622737 0.262162 -99.000000 -6.294393 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 2 1.1819E-02 0.157572 0.019505 -19.992918 -99.000000 -6.911307 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.7817064242024157D-13 log_rel_run_E_err -11.0966090201675236 40 6.622739 4315.717 -4.896642 -4.896642 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028668 457 0 -1.9119E+00 6.622739 0.262169 -99.000000 -6.294390 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 4 7.3439E-02 0.157575 0.019243 -99.000000 -99.000000 -6.911002 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6495986038273523D-13 log_rel_run_E_err -10.9730857520200331 50 6.622740 4313.969 -4.896642 -4.896642 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028667 457 0 -1.1201E+00 6.622740 0.262157 -99.000000 -6.294390 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 6 4.5497E-01 0.157576 0.018517 -19.771070 -99.000000 -6.910189 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5267940347176412D-13 log_rel_run_E_err -10.8763702440601708 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.622740 4313.932 -4.896641 -4.896641 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028667 457 0 -3.2831E-01 6.622740 0.262157 -99.000000 -6.294389 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 2 2.8173E+00 0.157576 0.018501 -99.000000 -99.000000 -6.910171 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6570402425658846D-13 log_rel_run_E_err -10.7977447072367898 70 6.622741 4313.931 -4.896632 -4.896632 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028663 457 0 4.6351E-01 6.622741 0.262156 -99.000000 -6.294380 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 2 1.7444E+01 0.157579 0.018498 -99.000000 -99.000000 -6.910170 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5919112268710458D-13 log_rel_run_E_err -10.7313876134898578 80 6.622745 4313.925 -4.896579 -4.896579 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028640 457 0 1.2553E+00 6.622745 0.262151 -99.000000 -6.294327 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 2 1.0801E+02 0.157596 0.018485 -99.000000 -99.000000 -6.910161 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.6551391961634905D-13 log_rel_run_E_err -10.6716867318664104 90 6.622775 4313.890 -4.896253 -4.896253 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028495 457 0 2.0471E+00 6.622775 0.262116 -99.000000 -6.294002 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072044 2 6.6878E+02 0.157704 0.018403 -99.000000 -99.000000 -6.910103 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5098055366247562D-13 log_rel_run_E_err -10.6198461369198291 __________________________________________________________________________________________________________________________________________________ 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 6.622960 4313.675 -4.894237 -4.894237 1.000000 1.000000 0.710106 0.001005 0.270000 -4.027597 457 0 2.8389E+00 6.622960 0.261905 -99.000000 -6.291985 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072050 2 4.1409E+03 0.158368 0.017893 -20.771070 -99.000000 -6.909749 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.5159859506429013D-13 log_rel_run_E_err -10.5748194699894285 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.624092 4312.348 -4.881842 -4.881842 1.000000 1.000000 0.710106 0.001005 0.270000 -4.022058 457 0 3.6308E+00 6.624092 0.260603 -99.000000 -6.279589 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072088 2 2.5639E+04 0.162458 0.014754 -20.771070 -99.000000 -6.907566 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.4934075887738418D-13 log_rel_run_E_err -10.5346953280385609 120 6.630777 4304.310 -4.808281 -4.808281 1.000000 1.000000 0.710106 0.001005 0.270000 -3.988421 457 0 4.4226E+00 6.630777 0.252853 -99.000000 -6.206022 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072337 3 1.5875E+05 0.187005 -0.003987 -20.470040 -99.000000 -6.894470 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 3.6674512232314276D-13 log_rel_run_E_err -10.5054263228313527 130 6.662772 4262.376 -4.443831 -4.443831 1.000000 1.000000 0.710105 0.001005 0.270000 -3.799803 459 0 5.2144E+00 6.662772 0.213974 -99.000000 -5.841538 -99.000000 0.000000 0.270000 0.009331 0.019894 0.074214 3 9.8295E+05 0.316354 -0.098752 -99.000000 -99.000000 -6.827123 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase rel_E_err 2.3004046204796876D-11 log_rel_run_E_err -10.2286327607375895 140 6.749715 4192.029 -3.434810 -3.434810 1.000000 1.000000 0.710102 0.001005 0.269999 -3.104262 467 0 5.8577E+00 6.749715 0.110497 -99.000000 -4.832319 -99.000000 0.000000 0.270003 0.009331 0.019894 0.084451 4 5.4941E+06 0.745548 -0.334615 -99.000000 -99.000000 -6.663788 0.000000 0.003429 0.002074 0.019894 0.000E+00 varcontrol rel_E_err 2.2876384348937957D-13 log_rel_run_E_err -10.3262166257118206 150 6.868610 4496.718 -2.253613 -2.253613 1.000000 1.000000 0.710088 0.001005 0.269993 -2.223823 473 0 6.0088E+00 6.868610 0.036429 -99.000000 -3.650412 -99.000000 0.000000 0.270017 0.009331 0.019894 0.098089 4 1.5142E+07 1.297270 -0.360866 -99.000000 -99.000000 -6.714694 0.000000 0.003429 0.002074 0.019895 0.000E+00 lgRho_cntr rel_E_err 2.2153279777687099D-13 log_rel_run_E_err -10.4407817423520939 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.046852 5353.847 -0.817926 -0.817926 1.000000 1.000000 0.709913 0.001022 0.269970 -1.549552 490 0 6.1334E+00 7.046852 0.011671 -51.759021 -2.259791 -99.000000 0.000000 0.270189 0.009332 0.019892 0.098988 5 2.7457E+07 1.843704 -0.107300 -99.000000 -99.000000 -6.847206 0.000000 0.003414 0.002074 0.019898 0.000E+00 lgRho_cntr rel_E_err 1.7348327618734417D-13 log_rel_run_E_err -10.5791116413399298 (age_target - star_age)/age_sigma 168 694.7526102538 reducing max timestep prior to age target 168 4.5158919666498871D+09 170 7.128249 5516.086 -0.179266 -0.179266 1.000000 1.000000 0.707745 0.003384 0.269734 -1.726839 508 0 6.9127E+00 7.128249 -0.049817 -47.364529 -1.779638 -99.000000 0.000000 0.272015 0.009334 0.019877 0.085495 5 6.8601E+07 1.894310 -0.178417 -15.477469 -99.000000 -6.804894 0.000000 0.001391 0.002075 0.020240 0.000E+00 max increase rel_E_err 1.9595968922624577D-13 log_rel_run_E_err -10.6021109523543693 (age_target - star_age)/age_sigma 176 677.4537537481 reducing max timestep prior to age target 176 4.4034493993627548D+09 (age_target - star_age)/age_sigma 179 661.0437419398 reducing max timestep prior to age target 179 4.2967843226087008D+09 180 7.128728 5536.224 -0.162197 -0.162197 1.000000 1.000000 0.691339 0.005002 0.268174 -1.677293 501 0 7.7045E+00 7.128728 -0.044843 -47.219915 -1.818359 -99.000000 0.000000 0.288155 0.009348 0.019777 0.087930 10 3.2335E+08 1.919487 -0.162138 -99.000000 -99.000000 -6.814262 0.000000 0.000015 0.002078 0.020506 0.000E+00 max increase rel_E_err 2.0196324452013911D-13 log_rel_run_E_err -10.5724015922597587 (age_target - star_age)/age_sigma 180 653.2534945759 reducing max timestep prior to age target 180 4.2461477147430406D+09 (age_target - star_age)/age_sigma 182 632.6872415350 reducing max timestep prior to age target 182 4.1124670699776969D+09 (age_target - star_age)/age_sigma 183 620.3682976773 reducing max timestep prior to age target 183 4.0323939349027176D+09 (age_target - star_age)/age_sigma 184 608.2957326968 reducing max timestep prior to age target 184 3.9539222625292373D+09 (age_target - star_age)/age_sigma 185 596.4646190159 reducing max timestep prior to age target 185 3.8770200236032271D+09 (age_target - star_age)/age_sigma 186 584.8701276086 reducing max timestep prior to age target 186 3.8016558294557366D+09 (age_target - star_age)/age_sigma 187 573.5075260294 reducing max timestep prior to age target 187 3.7277989191911964D+09 (age_target - star_age)/age_sigma 188 562.3721764818 reducing max timestep prior to age target 188 3.6554191471319470D+09 (age_target - star_age)/age_sigma 189 551.4595339252 reducing max timestep prior to age target 189 3.5844869705138822D+09 190 7.136785 5555.715 -0.140933 -0.140933 1.000000 1.000000 0.638450 0.005043 0.263729 -1.656253 503 0 7.8421E+00 7.136785 -0.037257 -46.560418 -1.804422 -99.000000 0.000000 0.340936 0.009383 0.019489 0.091456 10 1.0545E+09 1.953887 -0.140860 -15.954590 -99.000000 -6.827006 0.000000 0.000015 0.002089 0.020614 0.000E+00 max_dt rel_E_err 1.8469648881579710D-13 log_rel_run_E_err -10.5449851739764728 (age_target - star_age)/age_sigma 190 540.7651442197 reducing max timestep prior to age target 190 3.5149734374281788D+09 (age_target - star_age)/age_sigma 191 530.2846423083 reducing max timestep prior to age target 191 3.4468501750041900D+09 (age_target - star_age)/age_sigma 192 520.0137504352 reducing max timestep prior to age target 192 3.3800893778286805D+09 (age_target - star_age)/age_sigma 193 509.9482763995 reducing max timestep prior to age target 193 3.3146637965966816D+09 (age_target - star_age)/age_sigma 194 500.0841118445 reducing max timestep prior to age target 194 3.2505467269893222D+09 (age_target - star_age)/age_sigma 195 490.4172305806 reducing max timestep prior to age target 195 3.1877119987741098D+09 (age_target - star_age)/age_sigma 196 480.9436869420 reducing max timestep prior to age target 196 3.1261339651232023D+09 (age_target - star_age)/age_sigma 197 471.6596141762 reducing max timestep prior to age target 197 3.0657874921453128D+09 (age_target - star_age)/age_sigma 198 462.5612228657 reducing max timestep prior to age target 198 3.0066479486269808D+09 (age_target - star_age)/age_sigma 199 453.6447993814 reducing max timestep prior to age target 199 2.9486911959790154D+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 7.144274 5571.255 -0.123247 -0.123247 1.000000 1.000000 0.592588 0.005083 0.259994 -1.638145 506 0 7.7543E+00 7.144274 -0.030839 -45.985186 -1.784890 -99.000000 0.000000 0.386709 0.009404 0.019244 0.094787 10 1.6776E+09 1.984778 -0.123172 -99.000000 -99.000000 -6.838170 0.000000 0.000016 0.002098 0.020703 0.000E+00 max_dt rel_E_err 1.8650286411279580D-13 log_rel_run_E_err -10.5192336522576220 (age_target - star_age)/age_sigma 200 444.9067043668 reducing max timestep prior to age target 200 2.8918935783840094D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 436.3433712524 reducing max timestep prior to age target 201 2.8362319131409039D+09 (age_target - star_age)/age_sigma 202 427.9513048004 reducing max timestep prior to age target 202 2.7816834812026606D+09 (age_target - star_age)/age_sigma 204 411.5028545544 reducing max timestep prior to age target 204 2.6747685546037025D+09 (age_target - star_age)/age_sigma 205 403.4431139339 reducing max timestep prior to age target 205 2.6223802405702133D+09 (age_target - star_age)/age_sigma 206 395.5445681258 reducing max timestep prior to age target 206 2.5710396928173943D+09 (age_target - star_age)/age_sigma 207 387.8039932338 reducing max timestep prior to age target 207 2.5207259560196309D+09 (age_target - star_age)/age_sigma 208 380.2182298397 reducing max timestep prior to age target 208 2.4714184939578228D+09 (age_target - star_age)/age_sigma 209 372.7841817134 reducing max timestep prior to age target 209 2.4230971811372519D+09 210 7.150873 5583.876 -0.108231 -0.108231 1.000000 1.000000 0.554051 0.005123 0.256924 -1.622014 507 0 7.6754E+00 7.150873 -0.025297 -45.497449 -1.766598 -99.000000 0.000000 0.425175 0.009413 0.019042 0.097851 10 2.1938E+09 2.011828 -0.108157 -99.000000 -99.000000 -6.847812 0.000000 0.000016 0.002105 0.020774 0.000E+00 max_dt rel_E_err 1.9055130883550391D-13 log_rel_run_E_err -10.4942255980701642 (age_target - star_age)/age_sigma 210 365.4988145497 reducing max timestep prior to age target 210 2.3757422945730910D+09 (age_target - star_age)/age_sigma 211 358.3591547293 reducing max timestep prior to age target 211 2.3293345057402143D+09 (age_target - star_age)/age_sigma 212 351.3622881052 reducing max timestep prior to age target 212 2.2838548726839948D+09 (age_target - star_age)/age_sigma 213 344.5053588137 reducing max timestep prior to age target 213 2.2392848322888994D+09 (age_target - star_age)/age_sigma 214 337.7855681080 reducing max timestep prior to age target 214 2.1956061927017064D+09 (age_target - star_age)/age_sigma 215 331.2001732163 reducing max timestep prior to age target 215 2.1528011259062576D+09 (age_target - star_age)/age_sigma 216 324.7464862226 reducing max timestep prior to age target 216 2.1108521604467173D+09 (age_target - star_age)/age_sigma 217 318.4218729687 reducing max timestep prior to age target 217 2.0697421742963676D+09 (age_target - star_age)/age_sigma 218 312.2237519799 reducing max timestep prior to age target 218 2.0294543878690252D+09 (age_target - star_age)/age_sigma 219 306.1495934108 reducing max timestep prior to age target 219 1.9899723571702294D+09 220 7.156588 5593.955 -0.095561 -0.095561 1.000000 1.000000 0.521956 0.005162 0.254409 -1.607879 507 0 7.5876E+00 7.156588 -0.020529 -45.087000 -1.750277 -99.000000 0.000000 0.457213 0.009412 0.018877 0.100614 10 2.6182E+09 2.035167 -0.095489 -99.000000 -99.000000 -6.856094 0.000000 0.000017 0.002111 0.020830 0.000E+00 max_dt rel_E_err 1.8037306837534267D-13 log_rel_run_E_err -10.4710870983544613 (age_target - star_age)/age_sigma 220 300.1969180131 reducing max timestep prior to age target 220 1.9512799670854096D+09 (age_target - star_age)/age_sigma 221 294.3632961234 reducing max timestep prior to age target 221 1.9133614248022866D+09 (age_target - star_age)/age_sigma 222 288.6463466715 reducing max timestep prior to age target 222 1.8762012533648257D+09 (age_target - star_age)/age_sigma 223 283.0437362086 reducing max timestep prior to age target 223 1.8397842853561144D+09 (age_target - star_age)/age_sigma 224 277.5531779550 reducing max timestep prior to age target 224 1.8040956567075768D+09 (age_target - star_age)/age_sigma 225 272.1724308665 reducing max timestep prior to age target 225 1.7691208006320100D+09 (age_target - star_age)/age_sigma 226 266.8992987197 reducing max timestep prior to age target 226 1.7348454416779547D+09 (age_target - star_age)/age_sigma 227 261.7316292158 reducing max timestep prior to age target 227 1.7012555899029808D+09 (age_target - star_age)/age_sigma 228 256.6673131021 reducing max timestep prior to age target 228 1.6683375351635060D+09 (age_target - star_age)/age_sigma 229 251.7042833106 reducing max timestep prior to age target 229 1.6360778415188208D+09 230 7.161473 5602.004 -0.084973 -0.084973 1.000000 1.000000 0.495435 0.005199 0.252368 -1.595690 507 0 7.4999E+00 7.161473 -0.016485 -44.744032 -1.736051 -99.000000 0.000000 0.483691 0.009404 0.018743 0.103060 10 2.9650E+09 2.055051 -0.084902 -99.000000 -99.000000 -6.863055 0.000000 0.000017 0.002116 0.020875 0.000E+00 max_dt rel_E_err 1.8716815285940204D-13 log_rel_run_E_err -10.4489801332319114 (age_target - star_age)/age_sigma 230 246.8405141149 reducing max timestep prior to age target 230 1.6044633417470293D+09 (age_target - star_age)/age_sigma 231 242.0740203032 reducing max timestep prior to age target 231 1.5734811319706736D+09 (age_target - star_age)/age_sigma 232 237.4028563677 reducing max timestep prior to age target 232 1.5431185663898449D+09 (age_target - star_age)/age_sigma 233 232.8251157109 reducing max timestep prior to age target 233 1.5133632521206331D+09 (age_target - star_age)/age_sigma 234 228.3389298672 reducing max timestep prior to age target 234 1.4842030441368055D+09 (age_target - star_age)/age_sigma 235 223.9424677404 reducing max timestep prior to age target 235 1.4556260403126540D+09 (age_target - star_age)/age_sigma 236 219.6339348562 reducing max timestep prior to age target 236 1.4276205765649858D+09 (age_target - star_age)/age_sigma 238 211.1892104030 reducing max timestep prior to age target 238 1.3727298676195564D+09 (age_target - star_age)/age_sigma 239 207.0512954210 reducing max timestep prior to age target 239 1.3458334202362957D+09 240 7.165637 5608.445 -0.076103 -0.076103 1.000000 1.000000 0.473421 0.005235 0.250685 -1.585238 507 0 7.4209E+00 7.165637 -0.013049 -44.456361 -1.723717 -99.000000 0.000000 0.505670 0.009391 0.018632 0.105212 10 3.2500E+09 2.071954 -0.076034 -99.000000 -99.000000 -6.868951 0.000000 0.000018 0.002120 0.020909 0.000E+00 max_dt rel_E_err 1.8278132193962799D-13 log_rel_run_E_err -10.4277649351028288 (age_target - star_age)/age_sigma 240 202.9961387386 reducing max timestep prior to age target 240 1.3194749018007007D+09 (age_target - star_age)/age_sigma 241 199.0220851898 reducing max timestep prior to age target 241 1.2936435537338171D+09 (age_target - star_age)/age_sigma 242 195.1275127120 reducing max timestep prior to age target 242 1.2683288326282716D+09 (age_target - star_age)/age_sigma 243 191.3108316838 reducing max timestep prior to age target 243 1.2435204059448361D+09 (age_target - star_age)/age_sigma 244 187.5704842762 reducing max timestep prior to age target 244 1.2192081477950702D+09 (age_target - star_age)/age_sigma 245 183.9049438167 reducing max timestep prior to age target 245 1.1953821348082995D+09 (age_target - star_age)/age_sigma 246 180.3127141663 reducing max timestep prior to age target 246 1.1720326420812645D+09 (age_target - star_age)/age_sigma 247 176.7923291090 reducing max timestep prior to age target 247 1.1491501392087698D+09 (age_target - star_age)/age_sigma 248 173.3423517529 reducing max timestep prior to age target 248 1.1267252863937249D+09 (age_target - star_age)/age_sigma 249 169.9613739438 reducing max timestep prior to age target 249 1.1047489306349807D+09 250 7.169196 5613.665 -0.068631 -0.068631 1.000000 1.000000 0.455008 0.005269 0.249310 -1.576257 510 0 7.3332E+00 7.169196 -0.010121 -44.213660 -1.713020 -99.000000 0.000000 0.524054 0.009375 0.018541 0.107104 10 3.4863E+09 2.086369 -0.068563 -15.653560 -99.000000 -6.873926 0.000000 0.000018 0.002123 0.020937 0.000E+00 max_dt rel_E_err 1.9117178920735875D-13 log_rel_run_E_err -10.4070182270081109 (age_target - star_age)/age_sigma 250 166.6480156910 reducing max timestep prior to age target 250 1.0832121019914117D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 163.4009246032 reducing max timestep prior to age target 251 1.0621060099207144D+09 (age_target - star_age)/age_sigma 252 160.2187753371 reducing max timestep prior to age target 252 1.0414220396914306D+09 (age_target - star_age)/age_sigma 253 157.1002690564 reducing max timestep prior to age target 253 1.0211517488667326D+09 (age_target - star_age)/age_sigma 254 154.0441329013 reducing max timestep prior to age target 254 1.0012868638585286D+09 (age_target - star_age)/age_sigma 255 151.0491194693 reducing max timestep prior to age target 255 9.8181927655048847D+08 (age_target - star_age)/age_sigma 256 148.1140063059 reducing max timestep prior to age target 256 9.6274104098860931D+08 (age_target - star_age)/age_sigma 257 145.2375954058 reducing max timestep prior to age target 257 9.4404437013796806D+08 (age_target - star_age)/age_sigma 258 142.4187127237 reducing max timestep prior to age target 258 9.2572163270433903D+08 (age_target - star_age)/age_sigma 259 139.6562076953 reducing max timestep prior to age target 259 9.0776535001938295D+08 260 7.172181 5617.836 -0.062442 -0.062442 1.000000 1.000000 0.439848 0.005300 0.248156 -1.568692 511 0 7.2454E+00 7.172181 -0.007673 -44.012298 -1.703942 -99.000000 0.000000 0.539194 0.009358 0.018465 0.108729 10 3.6793E+09 2.098439 -0.062377 -99.000000 -99.000000 -6.878083 0.000000 0.000019 0.002126 0.020959 0.000E+00 max_dt rel_E_err 1.9183755238152709D-13 log_rel_run_E_err -10.3872246764030507 (age_target - star_age)/age_sigma 260 136.9489527674 reducing max timestep prior to age target 260 8.9016819298812580D+08 (age_target - star_age)/age_sigma 261 134.2958429381 reducing max timestep prior to age target 261 8.7292297909749365D+08 (age_target - star_age)/age_sigma 262 131.6957953053 reducing max timestep prior to age target 262 8.5602266948467445D+08 (age_target - star_age)/age_sigma 263 129.1477486252 reducing max timestep prior to age target 263 8.3946036606411171D+08 (age_target - star_age)/age_sigma 264 126.6506628788 reducing max timestep prior to age target 264 8.2322930871196032D+08 (age_target - star_age)/age_sigma 265 124.2035188472 reducing max timestep prior to age target 265 8.0732287250685167D+08 (age_target - star_age)/age_sigma 266 121.8053176963 reducing max timestep prior to age target 266 7.9173456502584553D+08 (age_target - star_age)/age_sigma 267 119.4550805684 reducing max timestep prior to age target 267 7.7645802369445896D+08 (age_target - star_age)/age_sigma 268 117.1518481830 reducing max timestep prior to age target 268 7.6148701318970013D+08 (age_target - star_age)/age_sigma 269 114.8946804454 reducing max timestep prior to age target 269 7.4681542289503670D+08 270 7.174674 5621.168 -0.057334 -0.057334 1.000000 1.000000 0.427378 0.005328 0.247233 -1.562349 511 0 7.1577E+00 7.174674 -0.005634 -43.845616 -1.696290 -99.000000 0.000000 0.551647 0.009340 0.018404 0.110115 10 3.8371E+09 2.108507 -0.057269 -15.653560 -99.000000 -6.881518 0.000000 0.000019 0.002128 0.020976 0.000E+00 max_dt rel_E_err 1.8974309934105666D-13 log_rel_run_E_err -10.3688250508953210 (age_target - star_age)/age_sigma 270 112.6826560625 reducing max timestep prior to age target 270 7.3243726440626669D+08 (age_target - star_age)/age_sigma 271 110.5148721673 reducing max timestep prior to age target 271 7.1834666908727217D+08 (age_target - star_age)/age_sigma 273 106.2660157326 reducing max timestep prior to age target 273 6.9072910226204205D+08 (age_target - star_age)/age_sigma 274 104.1840760796 reducing max timestep prior to age target 274 6.7719649451767969D+08 (age_target - star_age)/age_sigma 275 102.1437752197 reducing max timestep prior to age target 275 6.6393453892820454D+08 (age_target - star_age)/age_sigma 276 100.1442803770 reducing max timestep prior to age target 276 6.5093782245051861D+08 (age_target - star_age)/age_sigma 277 98.1847754311 reducing max timestep prior to age target 277 6.3820104030238628D+08 (age_target - star_age)/age_sigma 278 96.2644605842 reducing max timestep prior to age target 278 6.2571899379721689D+08 (age_target - star_age)/age_sigma 279 94.3825520342 reducing max timestep prior to age target 279 6.1348658822215128D+08 280 7.176784 5623.916 -0.053046 -0.053046 1.000000 1.000000 0.416966 0.005353 0.246479 -1.556984 514 0 7.0787E+00 7.176784 -0.003916 -43.705550 -1.689758 -99.000000 0.000000 0.562045 0.009323 0.018354 0.111306 7 3.9680E+09 2.117012 -0.052983 -15.255620 -99.000000 -6.884404 0.000000 0.000019 0.002130 0.020989 0.000E+00 max_dt rel_E_err 1.8638860458391209D-13 log_rel_run_E_err -10.3503535639546005 (age_target - star_age)/age_sigma 280 92.5382816552 reducing max timestep prior to age target 280 6.0149883075858641D+08 (age_target - star_age)/age_sigma 281 90.7308966837 reducing max timestep prior to age target 281 5.8975082844429302D+08 (age_target - star_age)/age_sigma 282 88.9596594117 reducing max timestep prior to age target 282 5.7823778617628527D+08 (age_target - star_age)/age_sigma 283 87.2238468852 reducing max timestep prior to age target 283 5.6695500475363731D+08 (age_target - star_age)/age_sigma 284 85.5227506091 reducing max timestep prior to age target 284 5.5589787895944309D+08 (age_target - star_age)/age_sigma 285 83.8556762586 reducing max timestep prior to age target 285 5.4506189568113279D+08 (age_target - star_age)/age_sigma 286 82.2219433951 reducing max timestep prior to age target 286 5.3444263206838846D+08 (age_target - star_age)/age_sigma 287 80.6208851889 reducing max timestep prior to age target 287 5.2403575372789907D+08 (age_target - star_age)/age_sigma 288 79.0518481468 reducing max timestep prior to age target 288 5.1383701295421982D+08 (age_target - star_age)/age_sigma 289 77.5141918455 reducing max timestep prior to age target 289 5.0384224699601316D+08 290 7.178542 5626.095 -0.049511 -0.049511 1.000000 1.000000 0.408379 0.005376 0.245866 -1.552493 514 0 6.9910E+00 7.178542 -0.002485 -43.589571 -1.684290 -99.000000 0.000000 0.570621 0.009306 0.018313 0.112315 5 4.0755E+09 2.124096 -0.049449 -99.000000 -99.000000 -6.886783 0.000000 0.000019 0.002131 0.021000 0.000E+00 max_dt rel_E_err 1.9659954717114914D-13 log_rel_run_E_err -10.3327599758312338 (age_target - star_age)/age_sigma 290 76.0072886703 reducing max timestep prior to age target 290 4.9404737635697174D+08 (age_target - star_age)/age_sigma 291 74.5305235586 reducing max timestep prior to age target 291 4.8444840313071060D+08 (age_target - star_age)/age_sigma 292 73.0832937491 reducing max timestep prior to age target 292 4.7504140936897469D+08 (age_target - star_age)/age_sigma 293 71.6650085358 reducing max timestep prior to age target 293 4.6582255548247337D+08 (age_target - star_age)/age_sigma 294 70.2750890267 reducing max timestep prior to age target 294 4.5678807867370176D+08 (age_target - star_age)/age_sigma 295 68.9129679079 reducing max timestep prior to age target 295 4.4793429140110636D+08 (age_target - star_age)/age_sigma 296 67.5780892114 reducing max timestep prior to age target 296 4.3925757987396240D+08 (age_target - star_age)/age_sigma 297 66.2699080888 reducing max timestep prior to age target 297 4.3075440257736158D+08 (age_target - star_age)/age_sigma 298 64.9878905887 reducing max timestep prior to age target 298 4.2242128882669258D+08 (age_target - star_age)/age_sigma 299 63.7315134386 reducing max timestep prior to age target 299 4.1425483735103703D+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 7.179997 5627.846 -0.046606 -0.046606 1.000000 1.000000 0.401334 0.005395 0.245369 -1.548772 514 0 6.9033E+00 7.179997 -0.001304 -43.494008 -1.679740 -99.000000 0.000000 0.577658 0.009292 0.018280 0.113160 5 4.1632E+09 2.129956 -0.046545 -99.000000 -99.000000 -6.888739 0.000000 0.000020 0.002132 0.021008 0.000E+00 max_dt rel_E_err 1.7632402349366755D-13 log_rel_run_E_err -10.3163029851685550 (age_target - star_age)/age_sigma 300 62.5002638315 reducing max timestep prior to age target 300 4.0625171490489483D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.2936392166 reducing max timestep prior to age target 301 3.9840865490767527D+08 (age_target - star_age)/age_sigma 302 60.1111470939 reducing max timestep prior to age target 302 3.9072245611039972D+08 (age_target - star_age)/age_sigma 303 58.9523048137 reducing max timestep prior to age target 303 3.8318998128907013D+08 (age_target - star_age)/age_sigma 304 57.8166393791 reducing max timestep prior to age target 304 3.7580815596416664D+08 (age_target - star_age)/age_sigma 305 56.7036872532 reducing max timestep prior to age target 305 3.6857396714576149D+08 (age_target - star_age)/age_sigma 306 55.6129941698 reducing max timestep prior to age target 306 3.6148446210372448D+08 (age_target - star_age)/age_sigma 308 53.4752357264 reducing max timestep prior to age target 308 3.4758903222133255D+08 (age_target - star_age)/age_sigma 309 52.4277340891 reducing max timestep prior to age target 309 3.4078027157895994D+08 310 7.181206 5629.265 -0.044208 -0.044208 1.000000 1.000000 0.395524 0.005412 0.244964 -1.545682 514 0 6.8243E+00 7.181206 -0.000324 -43.414924 -1.675946 -99.000000 0.000000 0.583461 0.009278 0.018253 0.113868 5 4.2354E+09 2.134819 -0.044148 -99.000000 -99.000000 -6.890352 0.000000 0.000020 0.002133 0.021015 0.000E+00 max_dt rel_E_err 1.8914162523834938D-13 log_rel_run_E_err -10.3000135173816343 (age_target - star_age)/age_sigma 310 51.4011824845 reducing max timestep prior to age target 310 3.3410768614943552D+08 (age_target - star_age)/age_sigma 311 50.3951619121 reducing max timestep prior to age target 311 3.2756855242850113D+08 (age_target - star_age)/age_sigma 312 49.4092617511 reducing max timestep prior to age target 312 3.2116020138198566D+08 (age_target - star_age)/age_sigma 313 48.4430795933 reducing max timestep prior to age target 313 3.1488001735640001D+08 (age_target - star_age)/age_sigma 314 47.4962210787 reducing max timestep prior to age target 314 3.0872543701132679D+08 (age_target - star_age)/age_sigma 315 46.5682997343 reducing max timestep prior to age target 315 3.0269394827315426D+08 (age_target - star_age)/age_sigma 316 45.6589368169 reducing max timestep prior to age target 316 2.9678308930974579D+08 (age_target - star_age)/age_sigma 317 44.7677611578 reducing max timestep prior to age target 317 2.9099044752560520D+08 (age_target - star_age)/age_sigma 318 43.8944090119 reducing max timestep prior to age target 318 2.8531365857714701D+08 (age_target - star_age)/age_sigma 319 43.0385239089 reducing max timestep prior to age target 319 2.7975040540765858D+08 320 7.182217 5630.426 -0.042212 -0.042212 1.000000 1.000000 0.390693 0.005427 0.244630 -1.543098 514 0 6.7366E+00 7.182217 0.000494 -43.348994 -1.672761 -99.000000 0.000000 0.588286 0.009267 0.018231 0.114466 5 4.2952E+09 2.138881 -0.042152 -99.000000 -99.000000 -6.891696 0.000000 0.000020 0.002134 0.021021 0.000E+00 max_dt rel_E_err 1.8479286229487562D-13 log_rel_run_E_err -10.2845833578271986 (age_target - star_age)/age_sigma 320 42.1997565079 reducing max timestep prior to age target 320 2.7429841730155945D+08 (age_target - star_age)/age_sigma 321 41.3777644550 reducing max timestep prior to age target 321 2.6895546895758247D+08 (age_target - star_age)/age_sigma 322 40.5722122432 reducing max timestep prior to age target 322 2.6371937958048534D+08 (age_target - star_age)/age_sigma 323 39.7827710755 reducing max timestep prior to age target 323 2.5858801199093056D+08 (age_target - star_age)/age_sigma 324 39.0091187313 reducing max timestep prior to age target 324 2.5355927175316620D+08 (age_target - star_age)/age_sigma 325 38.2509394339 reducing max timestep prior to age target 325 2.4863110632015705D+08 (age_target - star_age)/age_sigma 326 37.5079237224 reducing max timestep prior to age target 326 2.4380150419580841D+08 (age_target - star_age)/age_sigma 327 36.7797683252 reducing max timestep prior to age target 327 2.3906849411394691D+08 (age_target - star_age)/age_sigma 328 36.0661760360 reducing max timestep prior to age target 328 2.3443014423372173D+08 (age_target - star_age)/age_sigma 329 35.3668555925 reducing max timestep prior to age target 329 2.2988456135110188D+08 330 7.183049 5631.364 -0.040576 -0.040576 1.000000 1.000000 0.386736 0.005439 0.244358 -1.540974 514 0 6.6488E+00 7.183049 0.001167 -43.294861 -1.670132 -99.000000 0.000000 0.592239 0.009257 0.018213 0.114962 5 4.3441E+09 2.142222 -0.040517 -99.000000 -99.000000 -6.892797 0.000000 0.000020 0.002135 0.021025 0.000E+00 max_dt rel_E_err 1.8667945798175351D-13 log_rel_run_E_err -10.2695144475914404 (age_target - star_age)/age_sigma 330 34.6815215579 reducing max timestep prior to age target 330 2.2542989012613392D+08 (age_target - star_age)/age_sigma 331 34.0098942039 reducing max timestep prior to age target 331 2.2106431232566547D+08 (age_target - star_age)/age_sigma 332 33.3516993971 reducing max timestep prior to age target 332 2.1678604608120632D+08 (age_target - star_age)/age_sigma 333 32.7066684864 reducing max timestep prior to age target 333 2.1259334516163731D+08 (age_target - star_age)/age_sigma 334 32.0745381939 reducing max timestep prior to age target 334 2.0848449826045895D+08 (age_target - star_age)/age_sigma 335 31.4550505073 reducing max timestep prior to age target 335 2.0445782829730415D+08 (age_target - star_age)/age_sigma 336 30.8479525744 reducing max timestep prior to age target 336 2.0051169173341274D+08 (age_target - star_age)/age_sigma 337 30.2529966001 reducing max timestep prior to age target 337 1.9664447790079880D+08 (age_target - star_age)/age_sigma 338 29.6699397454 reducing max timestep prior to age target 338 1.9285460834483719D+08 (age_target - star_age)/age_sigma 339 29.0985440277 reducing max timestep prior to age target 339 1.8914053617999458D+08 340 7.183733 5632.125 -0.039236 -0.039236 1.000000 1.000000 0.383496 0.005450 0.244136 -1.539229 514 0 6.5611E+00 7.183733 0.001720 -43.250452 -1.667965 -99.000000 0.000000 0.595476 0.009248 0.018198 0.115371 5 4.3840E+09 2.144965 -0.039178 -99.000000 -99.000000 -6.893699 0.000000 0.000020 0.002135 0.021028 0.000E+00 max_dt rel_E_err 1.9028995274176972D-13 log_rel_run_E_err -10.2548141251721816 (age_target - star_age)/age_sigma 340 28.5385762244 reducing max timestep prior to age target 340 1.8550074545844936D+08 (age_target - star_age)/age_sigma 342 27.4410393299 reducing max timestep prior to age target 342 1.7836675564422035D+08 (age_target - star_age)/age_sigma 343 26.9032462516 reducing max timestep prior to age target 343 1.7487110063524818D+08 (age_target - star_age)/age_sigma 344 26.3762090348 reducing max timestep prior to age target 344 1.7144535872645473D+08 (age_target - star_age)/age_sigma 345 25.8597125624 reducing max timestep prior to age target 345 1.6808813165583801D+08 (age_target - star_age)/age_sigma 346 25.3535460195 reducing max timestep prior to age target 346 1.6479804912663364D+08 (age_target - star_age)/age_sigma 347 24.8575028074 reducing max timestep prior to age target 347 1.6157376824801254D+08 (age_target - star_age)/age_sigma 348 24.3713804595 reducing max timestep prior to age target 348 1.5841397298696518D+08 (age_target - star_age)/age_sigma 349 23.8949805586 reducing max timestep prior to age target 349 1.5531737363113785D+08 350 7.184305 5632.753 -0.038119 -0.038119 1.000000 1.000000 0.380796 0.005459 0.243952 -1.537772 514 0 6.4821E+00 7.184305 0.002181 -43.213382 -1.666150 -99.000000 0.000000 0.598173 0.009241 0.018186 0.115715 5 4.4172E+09 2.147257 -0.038061 -15.477469 -99.000000 -6.894451 0.000000 0.000020 0.002136 0.021031 0.000E+00 max_dt rel_E_err 1.7974875917002552D-13 log_rel_run_E_err -10.2408697247598557 (age_target - star_age)/age_sigma 350 23.4281086558 reducing max timestep prior to age target 350 1.5228270626242733D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9705741909 reducing max timestep prior to age target 351 1.4930873224109077D+08 (age_target - star_age)/age_sigma 352 22.5221904154 reducing max timestep prior to age target 352 1.4639423770018101D+08 (age_target - star_age)/age_sigma 353 22.0827743154 reducing max timestep prior to age target 353 1.4353803305008984D+08 (age_target - star_age)/age_sigma 354 21.6521465374 reducing max timestep prior to age target 354 1.4073895249300003D+08 (age_target - star_age)/age_sigma 355 21.2301313149 reducing max timestep prior to age target 355 1.3799585354705238D+08 (age_target - star_age)/age_sigma 356 20.8165563969 reducing max timestep prior to age target 356 1.3530761658002281D+08 (age_target - star_age)/age_sigma 357 20.4112529773 reducing max timestep prior to age target 357 1.3267314435233498D+08 (age_target - star_age)/age_sigma 358 20.0140556260 reducing max timestep prior to age target 358 1.3009136156919956D+08 (age_target - star_age)/age_sigma 359 19.6248022218 reducing max timestep prior to age target 359 1.2756121444172764D+08 360 7.184776 5633.267 -0.037202 -0.037202 1.000000 1.000000 0.378582 0.005466 0.243802 -1.536574 515 0 6.3944E+00 7.184776 0.002560 -43.182942 -1.664656 -99.000000 0.000000 0.600384 0.009234 0.018176 0.115999 5 4.4444E+09 2.149141 -0.037144 -99.000000 -99.000000 -6.895070 0.000000 0.000020 0.002136 0.021033 0.000E+00 max_dt rel_E_err 1.9194975129093357D-13 log_rel_run_E_err -10.2274636993478918 (age_target - star_age)/age_sigma 360 19.2433338857 reducing max timestep prior to age target 360 1.2508167025680542D+08 (age_target - star_age)/age_sigma 361 18.8694949162 reducing max timestep prior to age target 361 1.2265171695558167D+08 (age_target - star_age)/age_sigma 362 18.5031327262 reducing max timestep prior to age target 362 1.2027036272038174D+08 (age_target - star_age)/age_sigma 363 18.1440977800 reducing max timestep prior to age target 363 1.1793663556988621D+08 (age_target - star_age)/age_sigma 364 17.7922435327 reducing max timestep prior to age target 364 1.1564958296240044D+08 (age_target - star_age)/age_sigma 365 17.4474263703 reducing max timestep prior to age target 365 1.1340827140706444D+08 (age_target - star_age)/age_sigma 366 17.1095055512 reducing max timestep prior to age target 366 1.1121178608283615D+08 (age_target - star_age)/age_sigma 367 16.7783431485 reducing max timestep prior to age target 367 1.0905923046509075D+08 (age_target - star_age)/age_sigma 368 16.4538039938 reducing max timestep prior to age target 368 1.0694972595970154D+08 (age_target - star_age)/age_sigma 369 16.1357556222 reducing max timestep prior to age target 369 1.0488241154441929D+08 370 7.185161 5633.682 -0.036452 -0.036452 1.000000 1.000000 0.376771 0.005472 0.243680 -1.535593 515 0 6.3066E+00 7.185161 0.002871 -43.158014 -1.663429 -99.000000 0.000000 0.602194 0.009229 0.018168 0.116233 5 4.4666E+09 2.150685 -0.036395 -15.255620 -99.000000 -6.895574 0.000000 0.000020 0.002136 0.021035 0.000E+00 max_dt rel_E_err 1.7820458590982732D-13 log_rel_run_E_err -10.2143236651168809 (age_target - star_age)/age_sigma 370 15.8240682181 reducing max timestep prior to age target 370 1.0285644341744328D+08 (age_target - star_age)/age_sigma 371 15.5186145620 reducing max timestep prior to age target 371 1.0087099465300655D+08 (age_target - star_age)/age_sigma 372 15.2192699791 reducing max timestep prior to age target 372 9.8925254863858223D+07 (age_target - star_age)/age_sigma 373 14.9259122878 reducing max timestep prior to age target 373 9.7018429870492935D+07 (age_target - star_age)/age_sigma 374 14.6384217503 reducing max timestep prior to age target 374 9.5149741376995087D+07 (age_target - star_age)/age_sigma 375 14.3566810236 reducing max timestep prior to age target 375 9.3318426653367996D+07 (age_target - star_age)/age_sigma 376 14.0805751114 reducing max timestep prior to age target 376 9.1523738224212646D+07 (age_target - star_age)/age_sigma 378 13.5394075235 reducing max timestep prior to age target 378 8.8006148903068542D+07 (age_target - star_age)/age_sigma 379 13.2742354055 reducing max timestep prior to age target 379 8.6282530135707855D+07 380 7.185479 5634.022 -0.035835 -0.035835 1.000000 1.000000 0.375281 0.005478 0.243579 -1.534785 515 0 6.2277E+00 7.185479 0.003127 -43.137490 -1.662416 -99.000000 0.000000 0.603682 0.009225 0.018161 0.116426 5 4.4849E+09 2.151956 -0.035778 -99.000000 -99.000000 -6.895989 0.000000 0.000020 0.002136 0.021037 0.000E+00 max_dt rel_E_err 1.7111281302950250D-13 log_rel_run_E_err -10.2015267709503377 (age_target - star_age)/age_sigma 380 13.0143667298 reducing max timestep prior to age target 380 8.4593383743694305D+07 (age_target - star_age)/age_sigma 381 12.7596954276 reducing max timestep prior to age target 381 8.2938020279520988D+07 (age_target - star_age)/age_sigma 382 12.5101175515 reducing max timestep prior to age target 382 8.1315764084631920D+07 (age_target - star_age)/age_sigma 383 12.2655312329 reducing max timestep prior to age target 383 7.9725953013639450D+07 (age_target - star_age)/age_sigma 384 12.0258366406 reducing max timestep prior to age target 384 7.8167938164067268D+07 (age_target - star_age)/age_sigma 385 11.7909359402 reducing max timestep prior to age target 385 7.6641083611486435D+07 (age_target - star_age)/age_sigma 386 11.5607332538 reducing max timestep prior to age target 386 7.5144766149956703D+07 (age_target - star_age)/age_sigma 387 11.3351346212 reducing max timestep prior to age target 387 7.3678375037658691D+07 (age_target - star_age)/age_sigma 388 11.1140479612 reducing max timestep prior to age target 388 7.2241311747606277D+07 (age_target - star_age)/age_sigma 389 10.8973830344 reducing max timestep prior to age target 389 7.0832989723355293D+07 390 7.185743 5634.303 -0.035323 -0.035323 1.000000 1.000000 0.374045 0.005482 0.243496 -1.534113 515 0 6.1399E+00 7.185743 0.003339 -43.120450 -1.661575 -99.000000 0.000000 0.604917 0.009221 0.018156 0.116587 5 4.5000E+09 2.153013 -0.035267 -15.477469 -99.000000 -6.896333 0.000000 0.000020 0.002137 0.021038 0.000E+00 max_dt rel_E_err 1.9125504746547501D-13 log_rel_run_E_err -10.1890643728385246 (age_target - star_age)/age_sigma 390 10.6850514061 reducing max timestep prior to age target 390 6.9452834139588356D+07 (age_target - star_age)/age_sigma 391 10.4769664104 reducing max timestep prior to age target 391 6.8100281667496681D+07 (age_target - star_age)/age_sigma 392 10.2730431146 reducing max timestep prior to age target 392 6.6774780244848251D+07 (age_target - star_age)/age_sigma 393 10.0731982847 reducing max timestep prior to age target 393 6.5475788850651741D+07 (age_target - star_age)/age_sigma 394 9.8773503514 reducing max timestep prior to age target 394 6.4202777284339905D+07 (age_target - star_age)/age_sigma 395 9.6854193768 reducing max timestep prior to age target 395 6.2955225949353218D+07 (age_target - star_age)/age_sigma 396 9.4973270217 reducing max timestep prior to age target 396 6.1732625641066551D+07 (age_target - star_age)/age_sigma 397 9.3129965137 reducing max timestep prior to age target 397 6.0534477338946342D+07 (age_target - star_age)/age_sigma 398 9.1323526158 reducing max timestep prior to age target 398 5.9360292002867699D+07 (age_target - star_age)/age_sigma 399 8.9553215959 reducing max timestep prior to age target 399 5.8209590373510361D+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 7.185960 5634.531 -0.034905 -0.034905 1.000000 1.000000 0.373035 0.005485 0.243428 -1.533563 515 0 6.0522E+00 7.185960 0.003513 -43.106513 -1.660885 -99.000000 0.000000 0.605926 0.009218 0.018151 0.116719 5 4.5124E+09 2.153877 -0.034848 -99.000000 -99.000000 -6.896615 0.000000 0.000021 0.002137 0.021039 0.000E+00 max_dt rel_E_err 1.7430620251566990D-13 log_rel_run_E_err -10.1772003177104704 (age_target - star_age)/age_sigma 400 8.7818311964 reducing max timestep prior to age target 400 5.7081902776741028D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.6118106049 reducing max timestep prior to age target 401 5.5976768931906700D+07 (age_target - star_age)/age_sigma 402 8.4451904252 reducing max timestep prior to age target 402 5.4893737763969421D+07 (age_target - star_age)/age_sigma 403 8.2819026491 reducing max timestep prior to age target 403 5.3832367219390869D+07 (age_target - star_age)/age_sigma 404 8.1218806286 reducing max timestep prior to age target 404 5.2792224085702896D+07 (age_target - star_age)/age_sigma 405 7.9650590484 reducing max timestep prior to age target 405 5.1772883814689636D+07 (age_target - star_age)/age_sigma 406 7.8113738999 reducing max timestep prior to age target 406 5.0773930349096298D+07 (age_target - star_age)/age_sigma 407 7.6607624543 reducing max timestep prior to age target 407 4.9794955952816010D+07 (age_target - star_age)/age_sigma 408 7.5131632376 reducing max timestep prior to age target 408 4.8835561044460297D+07 (age_target - star_age)/age_sigma 409 7.3685160053 reducing max timestep prior to age target 409 4.7895354034272194D+07 410 7.186136 5634.718 -0.034563 -0.034563 1.000000 1.000000 0.372208 0.005488 0.243373 -1.533113 515 0 5.9644E+00 7.186136 0.003656 -43.095112 -1.660320 -99.000000 0.000000 0.606752 0.009215 0.018148 0.116827 3 4.5225E+09 2.154585 -0.034506 -15.954590 -99.000000 -6.896845 0.000000 0.000021 0.002137 0.021040 0.000E+00 max_dt rel_E_err 1.8844740529654407D-13 log_rel_run_E_err -10.1654452672815552 (age_target - star_age)/age_sigma 410 7.2267617176 reducing max timestep prior to age target 410 4.6973951164287567D+07 (age_target - star_age)/age_sigma 412 6.9489233137 reducing max timestep prior to age target 412 4.5168001539116859D+07 (age_target - star_age)/age_sigma 413 6.8127824958 reducing max timestep prior to age target 413 4.4283086222784042D+07 (age_target - star_age)/age_sigma 414 6.6793644943 reducing max timestep prior to age target 414 4.3415869212777138D+07 (age_target - star_age)/age_sigma 415 6.5486148528 reducing max timestep prior to age target 415 4.2565996542970657D+07 (age_target - star_age)/age_sigma 416 6.4204802041 reducing max timestep prior to age target 416 4.1733121326560020D+07 (age_target - star_age)/age_sigma 417 6.2949082484 reducing max timestep prior to age target 417 4.0916903614478111D+07 (age_target - star_age)/age_sigma 418 6.1718477318 reducing max timestep prior to age target 418 4.0117010256637573D+07 (age_target - star_age)/age_sigma 419 6.0512484255 reducing max timestep prior to age target 419 3.9333114765954018D+07 420 7.186284 5634.874 -0.034278 -0.034278 1.000000 1.000000 0.371521 0.005491 0.243326 -1.532738 515 0 5.8855E+00 7.186284 0.003774 -43.085619 -1.659850 -99.000000 0.000000 0.607439 0.009213 0.018144 0.116917 3 4.5309E+09 2.155174 -0.034221 -15.653560 -99.000000 -6.897036 0.000000 0.000021 0.002137 0.021041 0.000E+00 max_dt rel_E_err 2.0044508904112049D-13 log_rel_run_E_err -10.1514025398740007 (age_target - star_age)/age_sigma 420 5.9330611054 reducing max timestep prior to age target 420 3.8564897185083389D+07 (age_target - star_age)/age_sigma 421 5.8172375317 reducing max timestep prior to age target 421 3.7812043955830574D+07 (age_target - star_age)/age_sigma 422 5.7037304294 reducing max timestep prior to age target 422 3.7074247791163445D+07 (age_target - star_age)/age_sigma 423 5.5924934692 reducing max timestep prior to age target 423 3.6351207549788475D+07 (age_target - star_age)/age_sigma 424 5.4834812482 reducing max timestep prior to age target 424 3.5642628113242149D+07 (age_target - star_age)/age_sigma 425 5.3766492716 reducing max timestep prior to age target 425 3.4948220265425682D+07 (age_target - star_age)/age_sigma 426 5.2719539345 reducing max timestep prior to age target 426 3.4267700574566841D+07 (age_target - star_age)/age_sigma 427 5.1693525042 reducing max timestep prior to age target 427 3.3600791277523994D+07 (age_target - star_age)/age_sigma 428 5.0688031025 reducing max timestep prior to age target 428 3.2947220166421890D+07 (age_target - star_age)/age_sigma 429 4.9694148064 remaining steps and years until age target 429 50 3.2301196241590500D+07 430 7.186405 5635.002 -0.034043 -0.034043 1.000000 1.000000 0.370955 0.005493 0.243284 -1.532429 515 0 5.8102E+00 7.186405 0.003872 -43.077812 -1.659462 -99.000000 0.000000 0.608003 0.009212 0.018142 0.116991 3 4.5378E+09 2.155659 -0.033987 -99.000000 -99.000000 -6.897195 0.000000 0.000021 0.002137 0.021041 0.000E+00 max_dt rel_E_err 1.9100604810108983D-13 log_rel_run_E_err -10.1403702620018148 (age_target - star_age)/age_sigma 430 4.8700265103 remaining steps and years until age target 430 49 3.1655172316759109D+07 (age_target - star_age)/age_sigma 431 4.7706382141 reducing max timestep prior to age target 431 3.1009148391926765D+07 (age_target - star_age)/age_sigma 432 4.6712499180 remaining steps and years until age target 432 47 3.0363124467095375D+07 (age_target - star_age)/age_sigma 433 4.5718616219 reducing max timestep prior to age target 433 2.9717100542263031D+07 (age_target - star_age)/age_sigma 434 4.4724733258 remaining steps and years until age target 434 45 2.9071076617431641D+07 (age_target - star_age)/age_sigma 435 4.3730850296 reducing max timestep prior to age target 435 2.8425052692599297D+07 (age_target - star_age)/age_sigma 436 4.2736967335 remaining steps and years until age target 436 43 2.7779028767767906D+07 (age_target - star_age)/age_sigma 437 4.1743084374 remaining steps and years until age target 437 42 2.7133004842936516D+07 (age_target - star_age)/age_sigma 438 4.0749201412 reducing max timestep prior to age target 438 2.6486980918104172D+07 (age_target - star_age)/age_sigma 439 3.9755318451 remaining steps and years until age target 439 40 2.5840956993272781D+07 440 7.186518 5635.123 -0.033824 -0.033824 1.000000 1.000000 0.370427 0.005495 0.243245 -1.532141 515 0 5.8102E+00 7.186518 0.003963 -43.070507 -1.659099 -99.000000 0.000000 0.608532 0.009210 0.018139 0.117061 3 4.5443E+09 2.156112 -0.033767 -99.000000 -99.000000 -6.897343 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt rel_E_err 1.9250069607381399D-13 log_rel_run_E_err -10.1294818453969295 (age_target - star_age)/age_sigma 440 3.8761435490 reducing max timestep prior to age target 440 2.5194933068440437D+07 (age_target - star_age)/age_sigma 441 3.7767552529 remaining steps and years until age target 441 38 2.4548909143609047D+07 (age_target - star_age)/age_sigma 442 3.6773669567 reducing max timestep prior to age target 442 2.3902885218776703D+07 (age_target - star_age)/age_sigma 443 3.5779786606 remaining steps and years until age target 443 36 2.3256861293945312D+07 (age_target - star_age)/age_sigma 444 3.4785903645 remaining steps and years until age target 444 35 2.2610837369113922D+07 (age_target - star_age)/age_sigma 445 3.3792020684 reducing max timestep prior to age target 445 2.1964813444281578D+07 (age_target - star_age)/age_sigma 446 3.2798137722 remaining steps and years until age target 446 33 2.1318789519450188D+07 (age_target - star_age)/age_sigma 447 3.1804254761 reducing max timestep prior to age target 447 2.0672765594617844D+07 (age_target - star_age)/age_sigma 448 3.0810371800 remaining steps and years until age target 448 31 2.0026741669786453D+07 (age_target - star_age)/age_sigma 449 2.9816488838 reducing max timestep prior to age target 449 1.9380717744954109D+07 450 7.186632 5635.244 -0.033604 -0.033604 1.000000 1.000000 0.369898 0.005497 0.243206 -1.531852 515 0 5.8102E+00 7.186632 0.004054 -43.063198 -1.658736 -99.000000 0.000000 0.609060 0.009208 0.018137 0.117130 3 4.5508E+09 2.156566 -0.033548 -15.477469 -99.000000 -6.897491 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt rel_E_err 1.8263420907401453D-13 log_rel_run_E_err -10.1189264929486242 (age_target - star_age)/age_sigma 450 2.8822605877 remaining steps and years until age target 450 29 1.8734693820122719D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7828722916 remaining steps and years until age target 451 28 1.8088669895291328D+07 (age_target - star_age)/age_sigma 452 2.6834839955 reducing max timestep prior to age target 452 1.7442645970458984D+07 (age_target - star_age)/age_sigma 453 2.5840956993 remaining steps and years until age target 453 26 1.6796622045627594D+07 (age_target - star_age)/age_sigma 454 2.4847074032 reducing max timestep prior to age target 454 1.6150598120795250D+07 (age_target - star_age)/age_sigma 455 2.3853191071 remaining steps and years until age target 455 24 1.5504574195963860D+07 (age_target - star_age)/age_sigma 456 2.2859308109 reducing max timestep prior to age target 456 1.4858550271131516D+07 (age_target - star_age)/age_sigma 457 2.1865425148 remaining steps and years until age target 457 22 1.4212526346300125D+07 (age_target - star_age)/age_sigma 458 2.0871542187 remaining steps and years until age target 458 21 1.3566502421468735D+07 (age_target - star_age)/age_sigma 459 1.9877659226 reducing max timestep prior to age target 459 1.2920478496636391D+07 460 7.186746 5635.364 -0.033385 -0.033385 1.000000 1.000000 0.369369 0.005499 0.243168 -1.531563 515 0 5.8102E+00 7.186746 0.004145 -43.055884 -1.658372 -99.000000 0.000000 0.609588 0.009207 0.018134 0.117200 3 4.5572E+09 2.157020 -0.033328 -99.000000 -99.000000 -6.897639 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt rel_E_err 1.7984197992413358D-13 log_rel_run_E_err -10.1086951532215075 (age_target - star_age)/age_sigma 460 1.8883776264 remaining steps and years until age target 460 19 1.2274454571805000D+07 (age_target - star_age)/age_sigma 461 1.7889893303 reducing max timestep prior to age target 461 1.1628430646972656D+07 (age_target - star_age)/age_sigma 462 1.6896010342 remaining steps and years until age target 462 17 1.0982406722141266D+07 (age_target - star_age)/age_sigma 463 1.5902127380 reducing max timestep prior to age target 463 1.0336382797308922D+07 (age_target - star_age)/age_sigma 464 1.4908244419 remaining steps and years until age target 464 15 9.6903588724775314D+06 (age_target - star_age)/age_sigma 465 1.3914361458 remaining steps and years until age target 465 14 9.0443349476461411D+06 (age_target - star_age)/age_sigma 466 1.2920478497 reducing max timestep prior to age target 466 8.3983110228137970D+06 (age_target - star_age)/age_sigma 467 1.1926595535 remaining steps and years until age target 467 12 7.7522870979824066D+06 (age_target - star_age)/age_sigma 468 1.0932712574 reducing max timestep prior to age target 468 7.1062631731500626D+06 (age_target - star_age)/age_sigma 469 0.9938829613 remaining steps and years until age target 469 10 6.4602392483186722D+06 470 7.186860 5635.484 -0.033165 -0.033165 1.000000 1.000000 0.368840 0.005501 0.243129 -1.531274 515 0 5.8102E+00 7.186860 0.004236 -43.048566 -1.658008 -99.000000 0.000000 0.610117 0.009205 0.018132 0.117270 3 4.5637E+09 2.157475 -0.033109 -99.000000 -99.000000 -6.897787 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt rel_E_err 1.8626681419882062D-13 log_rel_run_E_err -10.0985632236025360 (age_target - star_age)/age_sigma 470 0.8944946652 reducing max timestep prior to age target 470 5.8142153234863281D+06 (age_target - star_age)/age_sigma 471 0.7951063690 remaining steps and years until age target 471 8 5.1681913986549377D+06 (age_target - star_age)/age_sigma 472 0.6957180729 remaining steps and years until age target 472 7 4.5221674738235474D+06 (age_target - star_age)/age_sigma 473 0.5963297768 reducing max timestep prior to age target 473 3.8761435489912033D+06 (age_target - star_age)/age_sigma 474 0.4969414806 remaining steps and years until age target 474 5 3.2301196241598129D+06 (age_target - star_age)/age_sigma 475 0.3975531845 reducing max timestep prior to age target 475 2.5840956993274689D+06 (age_target - star_age)/age_sigma 476 0.2981648884 reducing max timestep prior to age target 476 1.9380717744951248D+06 (age_target - star_age)/age_sigma 477 0.1987765923 remaining steps and years until age target 477 2 1.2920478496637344D+06 (age_target - star_age)/age_sigma 478 0.0993882961 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.02 0.00 333656.02 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 varcontrol dt limit 123 max increase dt limit 1602 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 333656.02 0.00 333656.02 have reached age_target runtime (minutes), retries, steps 4.72 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 7.186962 5635.592 -0.032967 -0.032967 1.000000 1.000000 0.368363 0.005502 0.243094 -1.531014 515 0 5.8102E+00 7.186962 0.004318 -43.041976 -1.657679 -99.000000 0.000000 0.610593 0.009203 0.018129 0.117333 3 4.5695E+09 2.157884 -0.032911 -15.352530 -99.000000 -6.897920 0.000000 0.000021 0.002138 0.021044 0.000E+00 max_dt rel_E_err 1.8218918172782631D-13 log_rel_run_E_err -10.0897772653557620 Teff 5635.5922679182 radius 1.0099931801 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 99.8636483849 M_H 0.0294651458 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 868.1948198334 log_R 0.0043184413 delta_nu 139.4765583094 nu_max 3053.6911602777 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 333656.0194894061 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 "08c12e86" "gfortran" "13.3.0" "x86_64-linux-25.12.1" "CRMATH" "20260107" "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 3.3351280955150846E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799356269539430E+03 1.0231387428323298E+00 -1.7398950154099558E-03 9.9345302525710756E-03 1.3680797539651249E+02 2.9640874280697080E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351280955150846E+05 0 0 0 0 0 0 0 3 3.3365601948940614E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355922679182013E+03 1.0099931800936883E+00 2.9465145847822460E-02 4.3184412502880526E-03 1.3947655830944021E+02 3.0536911602776722E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365601948940614E+05 0 0 0 0 0 0 0 2 3.3467762476560613E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7648132271902086E+03 1.0621856308706739E+00 -1.2877173992562437E-02 2.6200422035306429E-02 1.2940090818201503E+02 2.7298470328750154E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3467762476560613E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00 next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00 next_param_to_try alpha 4 2.1349999999999998D+00 4.5000000000000001D-01 read inlist_fast_newuoa enter astero_extras_controls create pre-main-sequence model species mass 8 1.0000000000000000D+00 relax_num_steps 50 10 5.954489 4784.847 -12.856103 -12.856103 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 404 0 -5.0000E+00 5.954482 0.953981 -99.000000 -14.253969 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0000E-04 -1.867484 1.582129 -99.000000 -99.000000 -7.771016 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954490 4649.587 -12.856112 -12.856112 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 405 0 -5.0000E+00 5.954483 0.953814 -99.000000 -14.253978 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 2.0000E-04 -1.867482 1.531978 -99.000000 -99.000000 -7.748735 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954491 4585.439 -12.856116 -12.856116 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 404 0 -5.0000E+00 5.954483 0.953710 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 3.0000E-04 -1.867482 1.507638 -99.000000 -99.000000 -7.733582 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954491 4547.131 -12.856119 -12.856119 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 405 0 -5.0000E+00 5.954484 0.953638 -99.000000 -14.253985 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 4.0000E-04 -1.867481 1.492919 -99.000000 -99.000000 -7.723201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954491 4519.875 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 403 0 -5.0000E+00 5.954484 0.953582 -99.000000 -14.253986 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 2 5.0000E-04 -1.867481 1.482364 -99.000000 -99.000000 -7.715253 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954492 4388.631 -12.856122 -12.856122 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 402 0 -2.2907E+00 5.954485 0.953141 -99.000000 -14.253988 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0230E-02 -1.867479 1.430292 -99.000000 -99.000000 -7.671172 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9251986560953145D-01 20 5.954594 4382.396 -12.854776 -12.854776 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396289 400 0 7.1957E-01 5.954587 0.952983 -99.000000 -14.252641 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071334 3 1.0486E+01 -1.867324 1.427507 -99.000000 -99.000000 -7.668684 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.9793094839800712D-01 30 6.002792 4417.348 -12.186359 -12.186359 1.000000 1.000000 0.700000 0.001010 0.279998 -6.239865 404 0 3.4640E+00 6.002792 0.903884 -99.000000 -13.584224 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.7770E+03 -1.727204 1.343107 -99.000000 -99.000000 -7.622870 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501201576994D-08 40 6.181888 4529.268 -9.814064 -9.814064 1.000000 1.000000 0.700000 0.001010 0.279976 -5.619112 423 0 4.0274E+00 6.181888 0.718505 -99.000000 -11.211923 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071111 3 7.3939E+04 -1.189514 1.015816 -99.000000 -99.000000 -7.442933 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128502311800019D-08 50 6.359711 4578.875 -7.700105 -7.700105 1.000000 1.000000 0.700000 0.001010 0.279870 -5.002863 434 0 4.5422E+00 6.359711 0.536260 -99.000000 -9.097948 -99.000000 0.000000 0.280000 0.009381 0.019894 0.071124 3 2.9002E+05 -0.655809 0.670250 -99.000000 -99.000000 -7.242625 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128502311800019D-08 60 6.533813 4575.555 -5.833381 -5.833381 1.000000 1.000000 0.700000 0.001010 0.279543 -4.398830 452 0 5.0646E+00 6.533813 0.358981 -99.000000 -7.231181 -99.000000 0.000000 0.280000 0.009381 0.019677 0.071139 3 1.0061E+06 -0.133217 0.314431 -21.674160 -99.000000 -7.004266 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128502533844624D-08 finished relax to begin radiative core 66 1.2918549061363610D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1127416933281451D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.7000000000000002D-05 initial_he4 2.6997300000000002D-01 metals GS98 relax_initial_mass to new_mass 1.0000000000000000D+00 net name basic.net do_element_diffusion T tau_base 4.1164335019999998D-01 atm_option: T_tau set_cumulative_energy_error 0.0000000000000000D+00 kap_option gs98 kap_CO_option gs98_co kap_lowT_option lowT_fa05_gs98 OMP_NUM_THREADS 4 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ (age_target - star_age)/age_sigma 1 703.0000000000 begin reducing max timestep prior to age target 1 4.5694999999999905D+09 save LOGS/profile1.data for model 1 (age_target - star_age)/age_sigma 2 703.0000000000 reducing max timestep prior to age target 2 4.5694999999999781D+09 (age_target - star_age)/age_sigma 3 703.0000000000 reducing max timestep prior to age target 3 4.5694999999999638D+09 (age_target - star_age)/age_sigma 4 703.0000000000 reducing max timestep prior to age target 4 4.5694999999999466D+09 (age_target - star_age)/age_sigma 5 703.0000000000 reducing max timestep prior to age target 5 4.5694999999999256D+09 (age_target - star_age)/age_sigma 6 703.0000000000 reducing max timestep prior to age target 6 4.5694999999999008D+09 10 6.624869 4368.472 -4.877895 -4.877895 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 461 0 -4.2874E+00 6.624869 0.260004 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 10 2.5959E-04 0.163106 0.036020 -99.000000 -99.000000 -6.915305 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7267460055016237D-13 log_rel_run_E_err -11.5615340654608936 20 6.624870 4381.393 -4.877895 -4.877895 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -3.4956E+00 6.624870 0.260020 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 5 1.8669E-03 0.163107 0.041182 -99.000000 -99.000000 -6.920651 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7137879450811331D-13 log_rel_run_E_err -11.2655422429125736 30 6.624871 4382.311 -4.877896 -4.877896 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -2.7037E+00 6.624871 0.260027 -99.000000 -6.275642 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.1819E-02 0.163108 0.041561 -20.169010 -99.000000 -6.921033 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5582912240461272D-13 log_rel_run_E_err -11.0934901314382195 40 6.624872 4381.702 -4.877894 -4.877894 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -1.9119E+00 6.624872 0.260029 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 7.3439E-02 0.163110 0.041323 -20.293948 -99.000000 -6.920788 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5286727781541666D-13 log_rel_run_E_err -10.9715629329035238 50 6.624872 4380.075 -4.877894 -4.877894 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0 -1.1201E+00 6.624872 0.260018 -99.000000 -6.275640 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 6 4.5497E-01 0.163110 0.040656 -20.470040 -99.000000 -6.920111 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6471463132247629D-13 log_rel_run_E_err -10.8762522247171773 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.624872 4380.044 -4.877892 -4.877892 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022545 458 0 -3.2831E-01 6.624872 0.260017 -99.000000 -6.275639 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 2.8173E+00 0.163111 0.040643 -99.000000 -99.000000 -6.920098 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4934998665315596D-13 log_rel_run_E_err -10.7982012163980396 70 6.624873 4380.043 -4.877883 -4.877883 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022541 458 0 4.6351E-01 6.624873 0.260017 -99.000000 -6.275630 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.7444E+01 0.163114 0.040640 -20.072100 -99.000000 -6.920097 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6397349210763449D-13 log_rel_run_E_err -10.7319516207095784 80 6.624878 4380.037 -4.877828 -4.877828 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022515 458 0 1.2553E+00 6.624878 0.260011 -99.000000 -6.275575 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2 1.0801E+02 0.163132 0.040626 -20.771070 -99.000000 -6.920087 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6396987419161544D-13 log_rel_run_E_err -10.6746937465470637 90 6.624908 4379.997 -4.877488 -4.877488 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022357 458 0 2.0471E+00 6.624908 0.259975 -99.000000 -6.275235 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071817 2 6.6878E+02 0.163246 0.040539 -99.000000 -99.000000 -6.920028 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4839937978029769D-13 log_rel_run_E_err -10.6251545991781313 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 100 6.625095 4379.751 -4.875383 -4.875383 1.000000 1.000000 0.711274 0.000946 0.270000 -4.021376 458 0 2.8389E+00 6.625095 0.259754 -99.000000 -6.273129 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071824 2 4.1409E+03 0.163950 0.039999 -20.293948 -99.000000 -6.919664 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.4271908077407971D-13 log_rel_run_E_err -10.5790363862978207 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.626244 4378.233 -4.862444 -4.862444 1.000000 1.000000 0.711274 0.000946 0.270000 -4.015327 458 0 3.6308E+00 6.626244 0.258392 -99.000000 -6.260189 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071873 2 2.5639E+04 0.168285 0.036674 -99.000000 -99.000000 -6.917419 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.3806450748551710D-13 log_rel_run_E_err -10.5402892839197904 120 6.633021 4369.036 -4.785809 -4.785809 1.000000 1.000000 0.711274 0.000946 0.270000 -3.978782 458 0 4.4226E+00 6.633021 0.250305 -99.000000 -6.183548 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072183 3 1.5875E+05 0.194225 0.016846 -20.470040 -99.000000 -6.903948 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6682418255043199D-13 log_rel_run_E_err -10.4860006112576247 130 6.665556 4322.268 -4.409795 -4.409795 1.000000 1.000000 0.711274 0.000946 0.270000 -3.778887 461 0 5.2144E+00 6.665556 0.210140 -99.000000 -5.807497 -99.000000 0.000000 0.270000 0.008783 0.018726 0.074286 4 9.8295E+05 0.329239 -0.082180 -99.000000 -99.000000 -6.835102 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5859266454673320D-13 log_rel_run_E_err -10.4750245528118544 140 6.753838 4249.999 -3.387220 -3.387220 1.000000 1.000000 0.711271 0.000946 0.269999 -3.065300 464 0 5.8501E+00 6.753838 0.106142 -99.000000 -4.784714 -99.000000 0.000000 0.270003 0.008783 0.018726 0.084901 4 5.4647E+06 0.768092 -0.319468 -99.000000 -99.000000 -6.673152 0.000000 0.003227 0.001952 0.018726 0.000E+00 varcontrol rel_E_err 2.2828694694848537D-13 log_rel_run_E_err -10.5591917385645964 150 6.874453 4588.938 -2.201637 -2.201637 1.000000 1.000000 0.711256 0.000946 0.269993 -2.192222 473 0 6.0270E+00 6.874453 0.033990 -99.000000 -3.598388 -99.000000 0.000000 0.270017 0.008783 0.018725 0.098159 4 1.4735E+07 1.318979 -0.330478 -99.000000 -99.000000 -6.724419 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 1.9292521857731306D-13 log_rel_run_E_err -10.4327704194305415 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.054040 5453.422 -0.762268 -0.762268 1.000000 1.000000 0.711075 0.000969 0.269970 -1.547164 489 0 6.1779E+00 7.054040 0.009540 -51.358501 -2.214209 -99.000000 0.000000 0.270194 0.008784 0.018724 0.097980 5 2.6398E+07 1.855185 -0.079550 -99.000000 -99.000000 -6.848893 0.000000 0.003208 0.001952 0.018730 0.000E+00 lgRho_cntr rel_E_err 1.7191579365405567D-13 log_rel_run_E_err -10.4132130840149646 (age_target - star_age)/age_sigma 168 694.7983444838 reducing max timestep prior to age target 168 4.5161892391449051D+09 170 7.130814 5598.043 -0.158242 -0.158242 1.000000 1.000000 0.708772 0.003375 0.269716 -1.718416 510 0 6.9251E+00 7.130814 -0.051981 -47.215485 -1.763117 -99.000000 0.000000 0.272149 0.008786 0.018709 0.085247 5 6.8741E+07 1.901359 -0.157124 -15.954590 -99.000000 -6.810200 0.000000 0.001147 0.001953 0.019079 0.000E+00 max increase rel_E_err 1.8454650003327615D-13 log_rel_run_E_err -10.4443164476355559 (age_target - star_age)/age_sigma 175 680.8615072275 reducing max timestep prior to age target 175 4.4255997969790564D+09 (age_target - star_age)/age_sigma 178 666.7877671381 reducing max timestep prior to age target 178 4.3341204863973875D+09 180 7.131825 5617.589 -0.141083 -0.141083 1.000000 1.000000 0.691108 0.004709 0.268086 -1.672565 502 0 7.7169E+00 7.131825 -0.046960 -47.039592 -1.798073 -99.000000 0.000000 0.289588 0.008799 0.018611 0.087592 10 3.3092E+08 1.926134 -0.141026 -99.000000 -99.000000 -6.821127 0.000000 0.000014 0.001956 0.019303 0.000E+00 max increase rel_E_err 1.7597826845681426D-13 log_rel_run_E_err -10.4247353072748314 (age_target - star_age)/age_sigma 180 652.0892148512 reducing max timestep prior to age target 180 4.2385798965327520D+09 (age_target - star_age)/age_sigma 182 630.9232995581 reducing max timestep prior to age target 182 4.1010014471276774D+09 (age_target - star_age)/age_sigma 183 618.6043557004 reducing max timestep prior to age target 183 4.0209283120526977D+09 (age_target - star_age)/age_sigma 184 606.5317907199 reducing max timestep prior to age target 184 3.9424566396792178D+09 (age_target - star_age)/age_sigma 185 594.7006770390 reducing max timestep prior to age target 185 3.8655544007532072D+09 (age_target - star_age)/age_sigma 186 583.1061856316 reducing max timestep prior to age target 186 3.7901902066057172D+09 (age_target - star_age)/age_sigma 187 571.7435840525 reducing max timestep prior to age target 187 3.7163332963411770D+09 (age_target - star_age)/age_sigma 188 560.6082345049 reducing max timestep prior to age target 188 3.6439535242819271D+09 (age_target - star_age)/age_sigma 189 549.6955919483 reducing max timestep prior to age target 189 3.5730213476638627D+09 190 7.140302 5637.297 -0.119132 -0.119132 1.000000 1.000000 0.635524 0.004751 0.263439 -1.651261 504 0 7.8421E+00 7.140302 -0.039018 -46.349175 -1.782049 -99.000000 0.000000 0.345070 0.008829 0.018325 0.091266 10 1.0660E+09 1.961982 -0.119059 -99.000000 -99.000000 -6.836281 0.000000 0.000014 0.001966 0.019406 0.000E+00 max_dt rel_E_err 1.7514685511530222D-13 log_rel_run_E_err -10.4060839720957627 (age_target - star_age)/age_sigma 190 539.0012022428 reducing max timestep prior to age target 190 3.5035078145781593D+09 (age_target - star_age)/age_sigma 191 528.5207003314 reducing max timestep prior to age target 191 3.4353845521541705D+09 (age_target - star_age)/age_sigma 192 518.2498084583 reducing max timestep prior to age target 192 3.3686237549786611D+09 (age_target - star_age)/age_sigma 193 508.1843344226 reducing max timestep prior to age target 193 3.3031981737466621D+09 (age_target - star_age)/age_sigma 194 498.3201698676 reducing max timestep prior to age target 194 3.2390811041393023D+09 (age_target - star_age)/age_sigma 195 488.6532886037 reducing max timestep prior to age target 195 3.1762463759240904D+09 (age_target - star_age)/age_sigma 196 479.1797449651 reducing max timestep prior to age target 196 3.1146683422731829D+09 (age_target - star_age)/age_sigma 197 469.8956721993 reducing max timestep prior to age target 197 3.0543218692952929D+09 (age_target - star_age)/age_sigma 198 460.7972808888 reducing max timestep prior to age target 198 2.9951823257769613D+09 (age_target - star_age)/age_sigma 199 451.8808574045 reducing max timestep prior to age target 199 2.9372255731289959D+09 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 200 7.148156 5653.071 -0.100778 -0.100778 1.000000 1.000000 0.587478 0.004793 0.259569 -1.632581 511 0 7.7543E+00 7.148156 -0.032268 -45.749506 -1.761199 -99.000000 0.000000 0.393032 0.008845 0.018086 0.094757 10 1.6891E+09 1.994267 -0.100704 -99.000000 -99.000000 -6.849440 0.000000 0.000015 0.001975 0.019491 0.000E+00 max_dt rel_E_err 1.8623239498829801D-13 log_rel_run_E_err -10.3866464385123614 (age_target - star_age)/age_sigma 200 443.1427623898 reducing max timestep prior to age target 200 2.8804279555339899D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 434.5794292755 reducing max timestep prior to age target 201 2.8247662902908845D+09 (age_target - star_age)/age_sigma 202 426.1873628235 reducing max timestep prior to age target 202 2.7702178583526411D+09 (age_target - star_age)/age_sigma 203 417.9631377005 reducing max timestep prior to age target 203 2.7167603950531616D+09 (age_target - star_age)/age_sigma 204 409.9033970799 reducing max timestep prior to age target 204 2.6643720810196724D+09 (age_target - star_age)/age_sigma 205 402.0048512718 reducing max timestep prior to age target 205 2.6130315332668533D+09 (age_target - star_age)/age_sigma 206 394.2642763799 reducing max timestep prior to age target 206 2.5627177964690905D+09 (age_target - star_age)/age_sigma 207 386.6785129857 reducing max timestep prior to age target 207 2.5134103344072824D+09 (age_target - star_age)/age_sigma 209 371.8104167333 reducing max timestep prior to age target 209 2.4167677087661390D+09 210 7.155022 5665.627 -0.085322 -0.085322 1.000000 1.000000 0.547477 0.004835 0.256415 -1.616047 509 0 7.6754E+00 7.155022 -0.026467 -45.245504 -1.741928 -99.000000 0.000000 0.432966 0.008848 0.017891 0.097953 10 2.2001E+09 2.022322 -0.085249 -99.000000 -99.000000 -6.860640 0.000000 0.000016 0.001982 0.019557 0.000E+00 max_dt rel_E_err 1.9281933556971020D-13 log_rel_run_E_err -10.3681648766145162 (age_target - star_age)/age_sigma 210 364.5250495695 reducing max timestep prior to age target 210 2.3694128222019787D+09 (age_target - star_age)/age_sigma 211 357.3853897491 reducing max timestep prior to age target 211 2.3230050333691020D+09 (age_target - star_age)/age_sigma 212 350.3885231251 reducing max timestep prior to age target 212 2.2775254003128824D+09 (age_target - star_age)/age_sigma 213 343.5315938335 reducing max timestep prior to age target 213 2.2329553599177876D+09 (age_target - star_age)/age_sigma 214 336.8118031278 reducing max timestep prior to age target 214 2.1892767203305945D+09 (age_target - star_age)/age_sigma 215 330.2264082362 reducing max timestep prior to age target 215 2.1464716535351453D+09 (age_target - star_age)/age_sigma 216 323.7727212424 reducing max timestep prior to age target 216 2.1045226880756054D+09 (age_target - star_age)/age_sigma 217 317.4481079885 reducing max timestep prior to age target 217 2.0634127019252558D+09 (age_target - star_age)/age_sigma 218 311.2499869997 reducing max timestep prior to age target 218 2.0231249154979134D+09 (age_target - star_age)/age_sigma 219 305.1758284306 reducing max timestep prior to age target 219 1.9836428847991171D+09 220 7.161045 5675.777 -0.072123 -0.072123 1.000000 1.000000 0.513796 0.004878 0.253788 -1.601376 509 0 7.5876E+00 7.161045 -0.021423 -44.816368 -1.724522 -99.000000 0.000000 0.466595 0.008841 0.017727 0.100878 10 2.6245E+09 2.046830 -0.072051 -99.000000 -99.000000 -6.870300 0.000000 0.000016 0.001988 0.019609 0.000E+00 max_dt rel_E_err 1.9300845085266904D-13 log_rel_run_E_err -10.3502284928381574 (age_target - star_age)/age_sigma 220 299.2231530330 reducing max timestep prior to age target 220 1.9449504947142978D+09 (age_target - star_age)/age_sigma 221 293.3895311433 reducing max timestep prior to age target 221 1.9070319524311743D+09 (age_target - star_age)/age_sigma 222 287.6725816913 reducing max timestep prior to age target 222 1.8698717809937134D+09 (age_target - star_age)/age_sigma 223 282.0699712285 reducing max timestep prior to age target 223 1.8334548129850020D+09 (age_target - star_age)/age_sigma 224 276.5794129748 reducing max timestep prior to age target 224 1.7977661843364644D+09 (age_target - star_age)/age_sigma 225 271.1986658863 reducing max timestep prior to age target 225 1.7627913282608981D+09 (age_target - star_age)/age_sigma 226 265.9255337395 reducing max timestep prior to age target 226 1.7285159693068428D+09 (age_target - star_age)/age_sigma 227 260.7578642357 reducing max timestep prior to age target 227 1.6949261175318685D+09 (age_target - star_age)/age_sigma 228 255.6935481219 reducing max timestep prior to age target 228 1.6620080627923937D+09 (age_target - star_age)/age_sigma 229 250.7305183304 reducing max timestep prior to age target 229 1.6297483691477084D+09 230 7.166203 5683.811 -0.061083 -0.061083 1.000000 1.000000 0.485933 0.004919 0.251682 -1.588704 508 0 7.4999E+00 7.166203 -0.017133 -44.457149 -1.709309 -99.000000 0.000000 0.494416 0.008826 0.017596 0.103480 10 2.9714E+09 2.067752 -0.061014 -15.255620 -99.000000 -6.878404 0.000000 0.000017 0.001992 0.019650 0.000E+00 max_dt rel_E_err 1.9478116029804381D-13 log_rel_run_E_err -10.3336114030084190 (age_target - star_age)/age_sigma 230 245.8667491348 reducing max timestep prior to age target 230 1.5981338693759170D+09 (age_target - star_age)/age_sigma 231 241.1002553230 reducing max timestep prior to age target 231 1.5671516595995612D+09 (age_target - star_age)/age_sigma 232 236.4290913875 reducing max timestep prior to age target 232 1.5367890940187330D+09 (age_target - star_age)/age_sigma 233 231.8513507307 reducing max timestep prior to age target 233 1.5070337797495213D+09 (age_target - star_age)/age_sigma 234 227.3651648870 reducing max timestep prior to age target 234 1.4778735717656932D+09 (age_target - star_age)/age_sigma 235 222.9687027602 reducing max timestep prior to age target 235 1.4492965679415417D+09 (age_target - star_age)/age_sigma 236 218.6601698760 reducing max timestep prior to age target 236 1.4212911041938739D+09 (age_target - star_age)/age_sigma 237 214.4378076494 reducing max timestep prior to age target 237 1.3938457497211590D+09 (age_target - star_age)/age_sigma 238 210.2998926674 reducing max timestep prior to age target 238 1.3669493023378983D+09 (age_target - star_age)/age_sigma 239 206.2447359850 reducing max timestep prior to age target 239 1.3405907839023032D+09 240 7.170582 5690.150 -0.051886 -0.051886 1.000000 1.000000 0.462916 0.004960 0.250007 -1.577884 509 0 7.4121E+00 7.170582 -0.013504 -44.157261 -1.696165 -99.000000 0.000000 0.517403 0.008806 0.017492 0.105767 10 3.2547E+09 2.085457 -0.051819 -99.000000 -99.000000 -6.885153 0.000000 0.000017 0.001996 0.019682 0.000E+00 max_dt rel_E_err 1.8291082974112207D-13 log_rel_run_E_err -10.3179967856740742 (age_target - star_age)/age_sigma 240 202.2706824362 reducing max timestep prior to age target 240 1.3147594358354197D+09 (age_target - star_age)/age_sigma 241 198.3761099584 reducing max timestep prior to age target 241 1.2894447147298741D+09 (age_target - star_age)/age_sigma 242 194.5594289302 reducing max timestep prior to age target 242 1.2646362880464392D+09 (age_target - star_age)/age_sigma 244 187.0787341149 reducing max timestep prior to age target 244 1.2160117717469068D+09 (age_target - star_age)/age_sigma 245 183.4131936554 reducing max timestep prior to age target 245 1.1921857587601366D+09 (age_target - star_age)/age_sigma 246 179.8209640051 reducing max timestep prior to age target 246 1.1688362660331011D+09 (age_target - star_age)/age_sigma 247 176.3005789478 reducing max timestep prior to age target 247 1.1459537631606064D+09 (age_target - star_age)/age_sigma 248 172.8506015916 reducing max timestep prior to age target 248 1.1235289103455615D+09 (age_target - star_age)/age_sigma 249 169.4696237826 reducing max timestep prior to age target 249 1.1015525545868173D+09 250 7.174327 5695.282 -0.044136 -0.044136 1.000000 1.000000 0.443662 0.004998 0.248565 -1.568577 509 0 7.3332E+00 7.174327 -0.010412 -43.904144 -1.684746 -99.000000 0.000000 0.536632 0.008782 0.017403 0.107783 10 3.4895E+09 2.100573 -0.044070 -15.477469 -99.000000 -6.890854 0.000000 0.000018 0.001999 0.019706 0.000E+00 max_dt rel_E_err 1.7882572941640972D-13 log_rel_run_E_err -10.3027340698714447 (age_target - star_age)/age_sigma 250 166.1562655297 reducing max timestep prior to age target 250 1.0800157259432483D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 162.9091744419 reducing max timestep prior to age target 251 1.0589096338725510D+09 (age_target - star_age)/age_sigma 252 159.7270251759 reducing max timestep prior to age target 252 1.0382256636432672D+09 (age_target - star_age)/age_sigma 253 156.6085188952 reducing max timestep prior to age target 253 1.0179553728185692D+09 (age_target - star_age)/age_sigma 254 153.5523827401 reducing max timestep prior to age target 254 9.9809048781036520D+08 (age_target - star_age)/age_sigma 255 150.5573693080 reducing max timestep prior to age target 255 9.7862290050232506D+08 (age_target - star_age)/age_sigma 256 147.6222561447 reducing max timestep prior to age target 256 9.5954466494044638D+08 (age_target - star_age)/age_sigma 257 144.7458452446 reducing max timestep prior to age target 257 9.4084799408980465D+08 (age_target - star_age)/age_sigma 258 141.9269625625 reducing max timestep prior to age target 258 9.2252525665617561D+08 (age_target - star_age)/age_sigma 259 139.1644575340 reducing max timestep prior to age target 259 9.0456897397121954D+08 260 7.177642 5699.441 -0.037664 -0.037664 1.000000 1.000000 0.427673 0.005035 0.247379 -1.560533 508 0 7.2454E+00 7.177642 -0.007811 -43.691751 -1.674986 -99.000000 0.000000 0.552601 0.008757 0.017329 0.109521 10 3.6825E+09 2.113618 -0.037600 -99.000000 -99.000000 -6.895633 0.000000 0.000018 0.002001 0.019726 0.000E+00 max_dt rel_E_err 1.8055964545348751D-13 log_rel_run_E_err -10.2877583427061463 (age_target - star_age)/age_sigma 260 136.4572026061 reducing max timestep prior to age target 260 8.8697181693996239D+08 (age_target - star_age)/age_sigma 261 133.8040927768 reducing max timestep prior to age target 261 8.6972660304933071D+08 (age_target - star_age)/age_sigma 262 131.2040451441 reducing max timestep prior to age target 262 8.5282629343651104D+08 (age_target - star_age)/age_sigma 263 128.6559984640 reducing max timestep prior to age target 263 8.3626399001594830D+08 (age_target - star_age)/age_sigma 264 126.1589127175 reducing max timestep prior to age target 264 8.2003293266379690D+08 (age_target - star_age)/age_sigma 265 123.7117686860 reducing max timestep prior to age target 265 8.0412649645868826D+08 (age_target - star_age)/age_sigma 266 121.3135675350 reducing max timestep prior to age target 266 7.8853818897768211D+08 (age_target - star_age)/age_sigma 267 118.9633304071 reducing max timestep prior to age target 267 7.7326164764629555D+08 (age_target - star_age)/age_sigma 268 116.6600980218 reducing max timestep prior to age target 268 7.5829063714153671D+08 (age_target - star_age)/age_sigma 269 114.4029302841 reducing max timestep prior to age target 269 7.4361904684687376D+08 270 7.180293 5702.705 -0.032327 -0.032327 1.000000 1.000000 0.414494 0.005068 0.246428 -1.553877 508 0 7.1577E+00 7.180293 -0.005641 -43.516208 -1.666734 -99.000000 0.000000 0.565765 0.008733 0.017270 0.111022 10 3.8403E+09 2.124300 -0.032265 -15.477469 -99.000000 -6.899559 0.000000 0.000018 0.002003 0.019741 0.000E+00 max_dt rel_E_err 1.6226050868948540D-13 log_rel_run_E_err -10.2733722730512671 (age_target - star_age)/age_sigma 270 112.1909059012 reducing max timestep prior to age target 270 7.2924088835810328D+08 (age_target - star_age)/age_sigma 271 110.0231220060 reducing max timestep prior to age target 271 7.1515029303910875D+08 (age_target - star_age)/age_sigma 272 107.8986937887 reducing max timestep prior to age target 272 7.0134150962649393D+08 (age_target - star_age)/age_sigma 273 105.8167541357 reducing max timestep prior to age target 273 6.8780890188213158D+08 (age_target - star_age)/age_sigma 274 103.7764532758 reducing max timestep prior to age target 274 6.7454694629265594D+08 (age_target - star_age)/age_sigma 275 101.7769584331 reducing max timestep prior to age target 275 6.6155022981497002D+08 (age_target - star_age)/age_sigma 276 99.8174534872 reducing max timestep prior to age target 276 6.4881344766683817D+08 (age_target - star_age)/age_sigma 277 97.8971386403 reducing max timestep prior to age target 277 6.3633140116166878D+08 (age_target - star_age)/age_sigma 279 94.1333215402 reducing max timestep prior to age target 279 6.1186659001153660D+08 280 7.182510 5705.312 -0.027911 -0.027911 1.000000 1.000000 0.403615 0.005099 0.245660 -1.548296 508 0 7.0787E+00 7.182510 -0.003831 -43.370447 -1.659778 -99.000000 0.000000 0.576632 0.008709 0.017223 0.112302 5 3.9696E+09 2.133226 -0.027851 -99.000000 -99.000000 -6.902800 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt rel_E_err 1.7004472069371338D-13 log_rel_run_E_err -10.2592943999836042 (age_target - star_age)/age_sigma 280 92.2890511612 reducing max timestep prior to age target 280 5.9987883254797173D+08 (age_target - star_age)/age_sigma 281 90.4816661898 reducing max timestep prior to age target 281 5.8813083023367786D+08 (age_target - star_age)/age_sigma 282 88.7104289178 reducing max timestep prior to age target 282 5.7661778796567059D+08 (age_target - star_age)/age_sigma 283 86.9746163912 reducing max timestep prior to age target 283 5.6533500654302263D+08 (age_target - star_age)/age_sigma 284 85.2735201152 reducing max timestep prior to age target 284 5.5427788074882841D+08 (age_target - star_age)/age_sigma 285 83.6064457647 reducing max timestep prior to age target 285 5.4344189747051811D+08 (age_target - star_age)/age_sigma 286 81.9727129012 reducing max timestep prior to age target 286 5.3282263385777378D+08 (age_target - star_age)/age_sigma 287 80.3716546950 reducing max timestep prior to age target 287 5.2241575551728439D+08 (age_target - star_age)/age_sigma 288 78.8026176529 reducing max timestep prior to age target 288 5.1221701474360466D+08 (age_target - star_age)/age_sigma 289 77.2649613516 reducing max timestep prior to age target 289 5.0222224878539848D+08 290 7.184383 5707.432 -0.024215 -0.024215 1.000000 1.000000 0.394530 0.005126 0.245028 -1.543572 509 0 6.9910E+00 7.184383 -0.002306 -43.248093 -1.653865 -99.000000 0.000000 0.585709 0.008687 0.017184 0.113400 6 4.0771E+09 2.140758 -0.024156 -99.000000 -99.000000 -6.905509 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt rel_E_err 1.8167826472376514D-13 log_rel_run_E_err -10.2455213045476921 (age_target - star_age)/age_sigma 290 75.7580581764 reducing max timestep prior to age target 290 4.9242737814635706D+08 (age_target - star_age)/age_sigma 291 74.2812930646 reducing max timestep prior to age target 291 4.8282840492009592D+08 (age_target - star_age)/age_sigma 292 72.8340632551 reducing max timestep prior to age target 292 4.7342141115836000D+08 (age_target - star_age)/age_sigma 293 71.4157780418 reducing max timestep prior to age target 293 4.6420255727185822D+08 (age_target - star_age)/age_sigma 294 70.0258585328 reducing max timestep prior to age target 294 4.5516808046308708D+08 (age_target - star_age)/age_sigma 295 68.6637374139 reducing max timestep prior to age target 295 4.4631429319049168D+08 (age_target - star_age)/age_sigma 296 67.3288587174 reducing max timestep prior to age target 296 4.3763758166334772D+08 (age_target - star_age)/age_sigma 297 66.0206775949 reducing max timestep prior to age target 297 4.2913440436674690D+08 (age_target - star_age)/age_sigma 298 64.7386600948 reducing max timestep prior to age target 298 4.2080129061607790D+08 (age_target - star_age)/age_sigma 299 63.4822829447 reducing max timestep prior to age target 299 4.1263483914042234D+08 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 300 7.185934 5709.125 -0.021179 -0.021179 1.000000 1.000000 0.387071 0.005149 0.244517 -1.539669 509 0 6.9033E+00 7.185934 -0.001046 -43.147215 -1.648943 -99.000000 0.000000 0.593161 0.008666 0.017152 0.114321 5 4.1649E+09 2.146984 -0.021120 -15.653560 -99.000000 -6.907729 0.000000 0.000019 0.002008 0.019768 0.000E+00 max_dt rel_E_err 1.7413709203982321D-13 log_rel_run_E_err -10.2320205798470951 (age_target - star_age)/age_sigma 300 62.2510333376 reducing max timestep prior to age target 300 4.0463171669428015D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.0444087226 reducing max timestep prior to age target 301 3.9678865669706059D+08 (age_target - star_age)/age_sigma 302 59.8619166000 reducing max timestep prior to age target 302 3.8910245789978504D+08 (age_target - star_age)/age_sigma 303 58.7030743198 reducing max timestep prior to age target 303 3.8156998307845497D+08 (age_target - star_age)/age_sigma 304 57.5674088852 reducing max timestep prior to age target 304 3.7418815775355196D+08 (age_target - star_age)/age_sigma 305 56.4544567593 reducing max timestep prior to age target 305 3.6695396893514681D+08 (age_target - star_age)/age_sigma 306 55.3637636759 reducing max timestep prior to age target 306 3.5986446389310980D+08 (age_target - star_age)/age_sigma 307 54.2948844541 reducing max timestep prior to age target 307 3.5291674895191383D+08 (age_target - star_age)/age_sigma 308 53.2473828169 reducing max timestep prior to age target 308 3.4610798830954123D+08 (age_target - star_age)/age_sigma 309 52.2208312123 reducing max timestep prior to age target 309 3.3943540288001680D+08 310 7.187217 5710.487 -0.018686 -0.018686 1.000000 1.000000 0.380952 0.005170 0.244102 -1.536450 510 0 6.8155E+00 7.187217 -0.000007 -43.064165 -1.644857 -99.000000 0.000000 0.599274 0.008649 0.017127 0.115090 5 4.2366E+09 2.152121 -0.018629 -99.000000 -99.000000 -6.909552 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt rel_E_err 1.8238383825728925D-13 log_rel_run_E_err -10.2191446548663301 (age_target - star_age)/age_sigma 310 51.2148106399 reducing max timestep prior to age target 310 3.3289626915908241D+08 (age_target - star_age)/age_sigma 311 50.2289104789 reducing max timestep prior to age target 311 3.2648791811256695D+08 (age_target - star_age)/age_sigma 312 49.2627283211 reducing max timestep prior to age target 312 3.2020773408698130D+08 (age_target - star_age)/age_sigma 314 47.3690112918 reducing max timestep prior to age target 314 3.0789857339683437D+08 (age_target - star_age)/age_sigma 315 46.4410899475 reducing max timestep prior to age target 315 3.0186708465866184D+08 (age_target - star_age)/age_sigma 316 45.5317270300 reducing max timestep prior to age target 316 2.9595622569525337D+08 (age_target - star_age)/age_sigma 317 44.6405513709 reducing max timestep prior to age target 317 2.9016358391111279D+08 (age_target - star_age)/age_sigma 318 43.7671992250 reducing max timestep prior to age target 318 2.8448679496265459D+08 (age_target - star_age)/age_sigma 319 42.9113141220 reducing max timestep prior to age target 319 2.7892354179316616D+08 320 7.188289 5711.597 -0.016613 -0.016613 1.000000 1.000000 0.375867 0.005188 0.243760 -1.533758 510 0 6.7366E+00 7.188289 0.000860 -42.994946 -1.641428 -99.000000 0.000000 0.604355 0.008633 0.017105 0.115740 5 4.2960E+09 2.156412 -0.016556 -99.000000 -99.000000 -6.911063 0.000000 0.000020 0.002009 0.019778 0.000E+00 max_dt rel_E_err 1.7849591423991806D-13 log_rel_run_E_err -10.2068300810869044 (age_target - star_age)/age_sigma 320 42.0725467211 reducing max timestep prior to age target 320 2.7347155368706703D+08 (age_target - star_age)/age_sigma 321 41.2505546682 reducing max timestep prior to age target 321 2.6812860534309006D+08 (age_target - star_age)/age_sigma 322 40.4450024563 reducing max timestep prior to age target 322 2.6289251596599293D+08 (age_target - star_age)/age_sigma 323 39.6555612887 reducing max timestep prior to age target 323 2.5776114837643814D+08 (age_target - star_age)/age_sigma 324 38.8819089444 reducing max timestep prior to age target 324 2.5273240813867378D+08 (age_target - star_age)/age_sigma 325 38.1237296470 reducing max timestep prior to age target 325 2.4780424270566463D+08 (age_target - star_age)/age_sigma 326 37.3807139356 reducing max timestep prior to age target 326 2.4297464058131599D+08 (age_target - star_age)/age_sigma 327 36.6525585384 reducing max timestep prior to age target 327 2.3824163049945450D+08 (age_target - star_age)/age_sigma 328 35.9389662491 reducing max timestep prior to age target 328 2.3360328061923027D+08 (age_target - star_age)/age_sigma 329 35.2396458056 reducing max timestep prior to age target 329 2.2905769773660946D+08 330 7.189177 5712.501 -0.014901 -0.014901 1.000000 1.000000 0.371674 0.005203 0.243475 -1.531529 510 0 6.6488E+00 7.189177 0.001578 -42.937728 -1.638577 -99.000000 0.000000 0.608544 0.008619 0.017088 0.116282 5 4.3449E+09 2.159966 -0.014846 -15.477469 -99.000000 -6.912310 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.8973930754890629D-13 log_rel_run_E_err -10.1944388405618085 (age_target - star_age)/age_sigma 330 34.5543117710 reducing max timestep prior to age target 330 2.2460302651164150D+08 (age_target - star_age)/age_sigma 331 33.8826844171 reducing max timestep prior to age target 331 2.2023744871117306D+08 (age_target - star_age)/age_sigma 332 33.2244896103 reducing max timestep prior to age target 332 2.1595918246671391D+08 (age_target - star_age)/age_sigma 333 32.5794586996 reducing max timestep prior to age target 333 2.1176648154714489D+08 (age_target - star_age)/age_sigma 334 31.9473284071 reducing max timestep prior to age target 334 2.0765763464596653D+08 (age_target - star_age)/age_sigma 335 31.3278407204 reducing max timestep prior to age target 335 2.0363096468281174D+08 (age_target - star_age)/age_sigma 336 30.7207427875 reducing max timestep prior to age target 336 1.9968482811892033D+08 (age_target - star_age)/age_sigma 337 30.1257868133 reducing max timestep prior to age target 337 1.9581761428630638D+08 (age_target - star_age)/age_sigma 338 29.5427299585 reducing max timestep prior to age target 338 1.9202774473034477D+08 (age_target - star_age)/age_sigma 339 28.9713342408 reducing max timestep prior to age target 339 1.8831367256550217D+08 340 7.189908 5713.237 -0.013498 -0.013498 1.000000 1.000000 0.368240 0.005216 0.243226 -1.529697 510 0 6.5611E+00 7.189908 0.002167 -42.890764 -1.636226 -99.000000 0.000000 0.611976 0.008608 0.017073 0.116731 5 4.3848E+09 2.162886 -0.013443 -99.000000 -99.000000 -6.913337 0.000000 0.000020 0.002010 0.019784 0.000E+00 max_dt rel_E_err 1.7841792669278625D-13 log_rel_run_E_err -10.1824747013215440 (age_target - star_age)/age_sigma 340 28.4113664375 reducing max timestep prior to age target 340 1.8467388184395695D+08 (age_target - star_age)/age_sigma 341 27.8625979903 reducing max timestep prior to age target 341 1.8110688693684196D+08 (age_target - star_age)/age_sigma 342 27.3248049120 reducing max timestep prior to age target 342 1.7761123192786980D+08 (age_target - star_age)/age_sigma 343 26.7977676952 reducing max timestep prior to age target 343 1.7418549001907635D+08 (age_target - star_age)/age_sigma 344 26.2812712228 reducing max timestep prior to age target 344 1.7082826294845963D+08 (age_target - star_age)/age_sigma 345 25.7751046799 reducing max timestep prior to age target 345 1.6753818041925526D+08 (age_target - star_age)/age_sigma 346 25.2790614678 reducing max timestep prior to age target 346 1.6431389954063511D+08 (age_target - star_age)/age_sigma 348 24.3068167721 reducing max timestep prior to age target 348 1.5799430901853848D+08 (age_target - star_age)/age_sigma 349 23.8304168712 reducing max timestep prior to age target 349 1.5489770966271114D+08 350 7.190512 5713.836 -0.012343 -0.012343 1.000000 1.000000 0.365412 0.005226 0.243022 -1.528184 510 0 6.4821E+00 7.190512 0.002654 -42.852035 -1.634279 -99.000000 0.000000 0.614801 0.008598 0.017060 0.117104 5 4.4176E+09 2.165296 -0.012288 -15.109492 -99.000000 -6.914182 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt rel_E_err 1.6817137828730819D-13 log_rel_run_E_err -10.1711189669727631 (age_target - star_age)/age_sigma 350 23.3635449683 reducing max timestep prior to age target 350 1.5186304229400063D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9060105035 reducing max timestep prior to age target 351 1.4888906827266502D+08 (age_target - star_age)/age_sigma 352 22.4576267280 reducing max timestep prior to age target 352 1.4597457373175526D+08 (age_target - star_age)/age_sigma 353 22.0182106279 reducing max timestep prior to age target 353 1.4311836908166313D+08 (age_target - star_age)/age_sigma 354 21.5875828499 reducing max timestep prior to age target 354 1.4031928852457333D+08 (age_target - star_age)/age_sigma 355 21.1655676275 reducing max timestep prior to age target 355 1.3757618957862568D+08 (age_target - star_age)/age_sigma 356 20.7519927095 reducing max timestep prior to age target 356 1.3488795261159706D+08 (age_target - star_age)/age_sigma 357 20.3466892898 reducing max timestep prior to age target 357 1.3225348038390827D+08 (age_target - star_age)/age_sigma 358 19.9494919386 reducing max timestep prior to age target 358 1.2967169760077381D+08 (age_target - star_age)/age_sigma 359 19.5602385344 reducing max timestep prior to age target 359 1.2714155047330189D+08 360 7.191014 5714.329 -0.011383 -0.011383 1.000000 1.000000 0.363065 0.005236 0.242855 -1.526925 510 0 6.3944E+00 7.191014 0.003058 -42.819834 -1.632656 -99.000000 0.000000 0.617147 0.008590 0.017050 0.117416 5 4.4448E+09 2.167303 -0.011329 -15.954590 -99.000000 -6.914883 0.000000 0.000020 0.002011 0.019788 0.000E+00 max_dt rel_E_err 1.8475128284076503D-13 log_rel_run_E_err -10.1601534788873309 (age_target - star_age)/age_sigma 360 19.1787701982 reducing max timestep prior to age target 360 1.2466200628837967D+08 (age_target - star_age)/age_sigma 361 18.8049312288 reducing max timestep prior to age target 361 1.2223205298715496D+08 (age_target - star_age)/age_sigma 362 18.4385690388 reducing max timestep prior to age target 362 1.1985069875195599D+08 (age_target - star_age)/age_sigma 363 18.0795340925 reducing max timestep prior to age target 363 1.1751697160146046D+08 (age_target - star_age)/age_sigma 364 17.7276798452 reducing max timestep prior to age target 364 1.1522991899397469D+08 (age_target - star_age)/age_sigma 365 17.3828626829 reducing max timestep prior to age target 365 1.1298860743863869D+08 (age_target - star_age)/age_sigma 366 17.0449418638 reducing max timestep prior to age target 366 1.1079212211440945D+08 (age_target - star_age)/age_sigma 367 16.7137794610 reducing max timestep prior to age target 367 1.0863956649666500D+08 (age_target - star_age)/age_sigma 368 16.3892403064 reducing max timestep prior to age target 368 1.0653006199127579D+08 (age_target - star_age)/age_sigma 369 16.0711919348 reducing max timestep prior to age target 369 1.0446274757599354D+08 370 7.191426 5714.730 -0.010598 -0.010598 1.000000 1.000000 0.361144 0.005243 0.242718 -1.525892 510 0 6.3066E+00 7.191426 0.003390 -42.793458 -1.631323 -99.000000 0.000000 0.619066 0.008582 0.017041 0.117672 5 4.4671E+09 2.168947 -0.010544 -99.000000 -99.000000 -6.915457 0.000000 0.000020 0.002011 0.019790 0.000E+00 max_dt rel_E_err 1.6132081192642479D-13 log_rel_run_E_err -10.1492363424837357 (age_target - star_age)/age_sigma 370 15.7595045306 reducing max timestep prior to age target 370 1.0243677944901752D+08 (age_target - star_age)/age_sigma 371 15.4540508746 reducing max timestep prior to age target 371 1.0045133068457985D+08 (age_target - star_age)/age_sigma 372 15.1547062916 reducing max timestep prior to age target 372 9.8505590895432472D+07 (age_target - star_age)/age_sigma 373 14.8613486003 reducing max timestep prior to age target 373 9.6598765902067184D+07 (age_target - star_age)/age_sigma 374 14.5738580629 reducing max timestep prior to age target 374 9.4730077408569336D+07 (age_target - star_age)/age_sigma 375 14.2921173361 reducing max timestep prior to age target 375 9.2898762684942245D+07 (age_target - star_age)/age_sigma 376 14.0160114240 reducing max timestep prior to age target 376 9.1104074255786896D+07 (age_target - star_age)/age_sigma 377 13.7454276300 reducing max timestep prior to age target 377 8.9345279595214844D+07 (age_target - star_age)/age_sigma 378 13.4802555120 reducing max timestep prior to age target 378 8.7621660827854156D+07 (age_target - star_age)/age_sigma 379 13.2203868363 reducing max timestep prior to age target 379 8.5932514435840607D+07 380 7.191764 5715.055 -0.009956 -0.009956 1.000000 1.000000 0.359573 0.005250 0.242606 -1.525046 510 0 6.2189E+00 7.191764 0.003661 -42.771864 -1.630229 -99.000000 0.000000 0.620636 0.008577 0.017034 0.117883 5 4.4852E+09 2.170295 -0.009902 -15.477469 -99.000000 -6.915925 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt rel_E_err 1.8833307475327821D-13 log_rel_run_E_err -10.1383199056619073 (age_target - star_age)/age_sigma 380 12.9657155341 reducing max timestep prior to age target 380 8.4277150971667290D+07 (age_target - star_age)/age_sigma 381 12.7161376580 reducing max timestep prior to age target 381 8.2654894776777267D+07 (age_target - star_age)/age_sigma 382 12.4715513394 reducing max timestep prior to age target 382 8.1065083705785751D+07 (age_target - star_age)/age_sigma 384 11.9921621549 reducing max timestep prior to age target 384 7.7949054006640434D+07 (age_target - star_age)/age_sigma 385 11.7572614545 reducing max timestep prior to age target 385 7.6422199454059601D+07 (age_target - star_age)/age_sigma 386 11.5270587681 reducing max timestep prior to age target 386 7.4925881992530823D+07 (age_target - star_age)/age_sigma 387 11.3014601354 reducing max timestep prior to age target 387 7.3459490880231857D+07 (age_target - star_age)/age_sigma 388 11.0803734754 reducing max timestep prior to age target 388 7.2022427590179443D+07 (age_target - star_age)/age_sigma 389 10.8637085486 reducing max timestep prior to age target 389 7.0614105565928459D+07 390 7.192045 5715.324 -0.009423 -0.009423 1.000000 1.000000 0.358270 0.005255 0.242514 -1.524344 510 0 6.1399E+00 7.192045 0.003887 -42.753946 -1.629320 -99.000000 0.000000 0.621938 0.008572 0.017029 0.118059 3 4.5003E+09 2.171414 -0.009370 -99.000000 -99.000000 -6.916314 0.000000 0.000020 0.002012 0.019792 0.000E+00 max_dt rel_E_err 1.7299861041010246D-13 log_rel_run_E_err -10.1278151960552041 (age_target - star_age)/age_sigma 390 10.6513769203 reducing max timestep prior to age target 390 6.9233949982161522D+07 (age_target - star_age)/age_sigma 391 10.4432919246 reducing max timestep prior to age target 391 6.7881397510070801D+07 (age_target - star_age)/age_sigma 392 10.2393686288 reducing max timestep prior to age target 392 6.6555896087421417D+07 (age_target - star_age)/age_sigma 393 10.0395237990 reducing max timestep prior to age target 393 6.5256904693224907D+07 (age_target - star_age)/age_sigma 394 9.8436758657 reducing max timestep prior to age target 394 6.3983893126913071D+07 (age_target - star_age)/age_sigma 395 9.6517448911 reducing max timestep prior to age target 395 6.2736341791927338D+07 (age_target - star_age)/age_sigma 396 9.4636525359 reducing max timestep prior to age target 396 6.1513741483640671D+07 (age_target - star_age)/age_sigma 397 9.2793220279 reducing max timestep prior to age target 397 6.0315593181519508D+07 (age_target - star_age)/age_sigma 398 9.0986781301 reducing max timestep prior to age target 398 5.9141407845440865D+07 (age_target - star_age)/age_sigma 399 8.9216471102 reducing max timestep prior to age target 399 5.7990706216084480D+07 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 400 7.192276 5715.544 -0.008985 -0.008985 1.000000 1.000000 0.357198 0.005259 0.242439 -1.523765 510 0 6.0522E+00 7.192276 0.004072 -42.739191 -1.628571 -99.000000 0.000000 0.623009 0.008568 0.017024 0.118204 3 4.5126E+09 2.172335 -0.008932 -15.477469 -99.000000 -6.916633 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7766951567088021D-13 log_rel_run_E_err -10.1174054464237955 (age_target - star_age)/age_sigma 400 8.7481567107 reducing max timestep prior to age target 400 5.6863018619315147D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.5781361192 reducing max timestep prior to age target 401 5.5757884774480820D+07 (age_target - star_age)/age_sigma 402 8.4115159395 reducing max timestep prior to age target 402 5.4674853606542587D+07 (age_target - star_age)/age_sigma 403 8.2482281634 reducing max timestep prior to age target 403 5.3613483061964035D+07 (age_target - star_age)/age_sigma 404 8.0882061428 reducing max timestep prior to age target 404 5.2573339928277016D+07 (age_target - star_age)/age_sigma 405 7.9313845627 reducing max timestep prior to age target 405 5.1553999657263756D+07 (age_target - star_age)/age_sigma 406 7.7776994141 reducing max timestep prior to age target 406 5.0555046191670418D+07 (age_target - star_age)/age_sigma 407 7.6270879685 reducing max timestep prior to age target 407 4.9576071795389175D+07 (age_target - star_age)/age_sigma 408 7.4794887519 reducing max timestep prior to age target 408 4.8616676887033463D+07 (age_target - star_age)/age_sigma 409 7.3348415195 reducing max timestep prior to age target 409 4.7676469876845360D+07 410 7.192465 5715.723 -0.008627 -0.008627 1.000000 1.000000 0.356322 0.005263 0.242377 -1.523291 510 0 5.9644E+00 7.192465 0.004224 -42.727121 -1.627957 -99.000000 0.000000 0.623885 0.008564 0.017020 0.118323 3 4.5227E+09 2.173089 -0.008573 -99.000000 -99.000000 -6.916895 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.7319285132530967D-13 log_rel_run_E_err -10.1073198183899855 (age_target - star_age)/age_sigma 410 7.1930872318 reducing max timestep prior to age target 410 4.6755067006860733D+07 (age_target - star_age)/age_sigma 411 7.0541680299 reducing max timestep prior to age target 411 4.5852092194275856D+07 (age_target - star_age)/age_sigma 412 6.9180272120 reducing max timestep prior to age target 412 4.4967176877942085D+07 (age_target - star_age)/age_sigma 413 6.7846092105 reducing max timestep prior to age target 413 4.4099959867936134D+07 (age_target - star_age)/age_sigma 414 6.6538595689 reducing max timestep prior to age target 414 4.3250087198128700D+07 (age_target - star_age)/age_sigma 415 6.5257249203 reducing max timestep prior to age target 415 4.2417211981719017D+07 (age_target - star_age)/age_sigma 416 6.4001529646 reducing max timestep prior to age target 416 4.1600994269637108D+07 (age_target - star_age)/age_sigma 418 6.1540319314 reducing max timestep prior to age target 418 4.0001207553955078D+07 (age_target - star_age)/age_sigma 419 6.0334326251 reducing max timestep prior to age target 419 3.9217312063271523D+07 420 7.192621 5715.870 -0.008332 -0.008332 1.000000 1.000000 0.355601 0.005266 0.242327 -1.522902 510 0 5.8855E+00 7.192621 0.004349 -42.717193 -1.627452 -99.000000 0.000000 0.624605 0.008561 0.017017 0.118421 3 4.5311E+09 2.173710 -0.008279 -15.653560 -99.000000 -6.917109 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.8041983550093416D-13 log_rel_run_E_err -10.0975898263177868 (age_target - star_age)/age_sigma 420 5.9152453050 reducing max timestep prior to age target 420 3.8449094482401848D+07 (age_target - star_age)/age_sigma 421 5.7994217313 reducing max timestep prior to age target 421 3.7696241253149033D+07 (age_target - star_age)/age_sigma 422 5.6859146290 reducing max timestep prior to age target 422 3.6958445088480949D+07 (age_target - star_age)/age_sigma 423 5.5746776688 reducing max timestep prior to age target 423 3.6235404847106934D+07 (age_target - star_age)/age_sigma 424 5.4656654478 reducing max timestep prior to age target 424 3.5526825410559654D+07 (age_target - star_age)/age_sigma 425 5.3588334712 reducing max timestep prior to age target 425 3.4832417562744141D+07 (age_target - star_age)/age_sigma 426 5.2541381341 reducing max timestep prior to age target 426 3.4151897871884346D+07 (age_target - star_age)/age_sigma 427 5.1515367038 reducing max timestep prior to age target 427 3.3484988574841499D+07 (age_target - star_age)/age_sigma 428 5.0509873021 reducing max timestep prior to age target 428 3.2831417463740349D+07 (age_target - star_age)/age_sigma 429 4.9519483354 remaining steps and years until age target 429 50 3.2187664180137634D+07 430 7.192750 5715.992 -0.008087 -0.008087 1.000000 1.000000 0.355002 0.005268 0.242285 -1.522577 510 0 5.8087E+00 7.192750 0.004453 -42.708934 -1.627031 -99.000000 0.000000 0.625204 0.008559 0.017015 0.118503 3 4.5380E+09 2.174226 -0.008034 -99.000000 -99.000000 -6.917288 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.7679714178845412D-13 log_rel_run_E_err -10.0880889958402626 (age_target - star_age)/age_sigma 430 4.8529093687 remaining steps and years until age target 430 49 3.1543910896534920D+07 (age_target - star_age)/age_sigma 431 4.7538704020 remaining steps and years until age target 431 48 3.0900157612932205D+07 (age_target - star_age)/age_sigma 432 4.6548314353 reducing max timestep prior to age target 432 3.0256404329328537D+07 (age_target - star_age)/age_sigma 433 4.5557924686 remaining steps and years until age target 433 46 2.9612651045725822D+07 (age_target - star_age)/age_sigma 434 4.4567535019 remaining steps and years until age target 434 45 2.8968897762123108D+07 (age_target - star_age)/age_sigma 435 4.3577145352 remaining steps and years until age target 435 44 2.8325144478520393D+07 (age_target - star_age)/age_sigma 436 4.2586755684 remaining steps and years until age target 436 43 2.7681391194917679D+07 (age_target - star_age)/age_sigma 437 4.1596366017 remaining steps and years until age target 437 42 2.7037637911314964D+07 (age_target - star_age)/age_sigma 438 4.0605976350 remaining steps and years until age target 438 41 2.6393884627712250D+07 (age_target - star_age)/age_sigma 439 3.9615586683 remaining steps and years until age target 439 40 2.5750131344109535D+07 440 7.192871 5716.106 -0.007858 -0.007858 1.000000 1.000000 0.354443 0.005271 0.242245 -1.522274 510 0 5.8087E+00 7.192871 0.004550 -42.701229 -1.626638 -99.000000 0.000000 0.625762 0.008557 0.017012 0.118579 3 4.5444E+09 2.174708 -0.007806 -15.653560 -99.000000 -6.917454 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.7062212616263671D-13 log_rel_run_E_err -10.0788299635698024 (age_target - star_age)/age_sigma 440 3.8625197016 remaining steps and years until age target 440 39 2.5106378060506821D+07 (age_target - star_age)/age_sigma 441 3.7634807349 remaining steps and years until age target 441 38 2.4462624776904106D+07 (age_target - star_age)/age_sigma 442 3.6644417682 reducing max timestep prior to age target 442 2.3818871493300438D+07 (age_target - star_age)/age_sigma 443 3.5654028015 remaining steps and years until age target 443 36 2.3175118209697723D+07 (age_target - star_age)/age_sigma 444 3.4663638348 remaining steps and years until age target 444 35 2.2531364926095009D+07 (age_target - star_age)/age_sigma 445 3.3673248681 remaining steps and years until age target 445 34 2.1887611642492294D+07 (age_target - star_age)/age_sigma 446 3.2682859014 remaining steps and years until age target 446 33 2.1243858358889580D+07 (age_target - star_age)/age_sigma 447 3.1692469347 remaining steps and years until age target 447 32 2.0600105075286865D+07 (age_target - star_age)/age_sigma 448 3.0702079680 remaining steps and years until age target 448 31 1.9956351791684151D+07 (age_target - star_age)/age_sigma 449 2.9711690012 remaining steps and years until age target 449 30 1.9312598508081436D+07 450 7.192992 5716.219 -0.007630 -0.007630 1.000000 1.000000 0.353884 0.005273 0.242206 -1.521971 510 0 5.8087E+00 7.192992 0.004647 -42.693519 -1.626245 -99.000000 0.000000 0.626321 0.008555 0.017010 0.118655 3 4.5508E+09 2.175190 -0.007577 -15.255620 -99.000000 -6.917620 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9827304572065516D-13 log_rel_run_E_err -10.0695564914212792 (age_target - star_age)/age_sigma 450 2.8721300345 remaining steps and years until age target 450 29 1.8668845224478722D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7730910678 remaining steps and years until age target 451 28 1.8025091940876007D+07 (age_target - star_age)/age_sigma 452 2.6740521011 reducing max timestep prior to age target 452 1.7381338657272339D+07 (age_target - star_age)/age_sigma 453 2.5750131344 reducing max timestep prior to age target 453 1.6737585373669624D+07 (age_target - star_age)/age_sigma 454 2.4759741677 reducing max timestep prior to age target 454 1.6093832090066910D+07 (age_target - star_age)/age_sigma 455 2.3769352010 reducing max timestep prior to age target 455 1.5450078806464195D+07 (age_target - star_age)/age_sigma 456 2.2778962343 reducing max timestep prior to age target 456 1.4806325522861481D+07 (age_target - star_age)/age_sigma 457 2.1788572676 reducing max timestep prior to age target 457 1.4162572239258766D+07 (age_target - star_age)/age_sigma 458 2.0798183009 reducing max timestep prior to age target 458 1.3518818955656052D+07 (age_target - star_age)/age_sigma 459 1.9807793342 reducing max timestep prior to age target 459 1.2875065672053337D+07 460 7.193113 5716.333 -0.007401 -0.007401 1.000000 1.000000 0.353325 0.005275 0.242167 -1.521668 510 0 5.8087E+00 7.193113 0.004744 -42.685804 -1.625851 -99.000000 0.000000 0.626880 0.008552 0.017007 0.118732 3 4.5573E+09 2.175673 -0.007348 -99.000000 -99.000000 -6.917787 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.8082292702224640D-13 log_rel_run_E_err -10.0606558715561203 (age_target - star_age)/age_sigma 460 1.8817403675 reducing max timestep prior to age target 460 1.2231312388450623D+07 (age_target - star_age)/age_sigma 461 1.7827014007 reducing max timestep prior to age target 461 1.1587559104847908D+07 (age_target - star_age)/age_sigma 462 1.6836624340 reducing max timestep prior to age target 462 1.0943805821244240D+07 (age_target - star_age)/age_sigma 463 1.5846234673 reducing max timestep prior to age target 463 1.0300052537641525D+07 (age_target - star_age)/age_sigma 464 1.4855845006 reducing max timestep prior to age target 464 9.6562992540388107D+06 (age_target - star_age)/age_sigma 465 1.3865455339 reducing max timestep prior to age target 465 9.0125459704360962D+06 (age_target - star_age)/age_sigma 466 1.2875065672 reducing max timestep prior to age target 466 8.3687926868333817D+06 (age_target - star_age)/age_sigma 467 1.1884676005 reducing max timestep prior to age target 467 7.7250394032306671D+06 (age_target - star_age)/age_sigma 468 1.0894286338 reducing max timestep prior to age target 468 7.0812861196279526D+06 (age_target - star_age)/age_sigma 469 0.9903896671 reducing max timestep prior to age target 469 6.4375328360252380D+06 470 7.193234 5716.446 -0.007172 -0.007172 1.000000 1.000000 0.352765 0.005278 0.242128 -1.521365 510 0 5.8087E+00 7.193234 0.004841 -42.678083 -1.625456 -99.000000 0.000000 0.627439 0.008550 0.017005 0.118809 3 4.5637E+09 2.176156 -0.007120 -99.000000 -99.000000 -6.917953 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.9187921363962106D-13 log_rel_run_E_err -10.0516368278479025 (age_target - star_age)/age_sigma 470 0.8913507004 remaining steps and years until age target 470 9 5.7937795524234772D+06 (age_target - star_age)/age_sigma 471 0.7923117337 reducing max timestep prior to age target 471 5.1500262688207626D+06 (age_target - star_age)/age_sigma 472 0.6932727670 reducing max timestep prior to age target 472 4.5062729852180481D+06 (age_target - star_age)/age_sigma 473 0.5942338002 reducing max timestep prior to age target 473 3.8625197016143799D+06 (age_target - star_age)/age_sigma 474 0.4951948335 remaining steps and years until age target 474 5 3.2187664180126190D+06 (age_target - star_age)/age_sigma 475 0.3961558668 reducing max timestep prior to age target 475 2.5750131344099045D+06 (age_target - star_age)/age_sigma 476 0.2971169001 reducing max timestep prior to age target 476 1.9312598508071899D+06 (age_target - star_age)/age_sigma 477 0.1980779334 reducing max timestep prior to age target 477 1.2875065672044754D+06 (age_target - star_age)/age_sigma 478 0.0990389667 remaining steps and years until age target 478 1 6.4375328360271454D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333376.79 0.00 333376.79 save outputs/best.mod 479 save outputs/best.profile for model 479 save LOGS/profile11.data for model 479 have reached age_target save LOGS/profile11.data for model 479 varcontrol dt limit 163 max increase dt limit 2137 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 4.77 0 479 __________________________________________________________________________________________________________________________________________________ step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit __________________________________________________________________________________________________________________________________________________ 479 7.193344 5716.548 -0.006966 -0.006966 1.000000 1.000000 0.352261 0.005280 0.242093 -1.521091 510 0 5.8087E+00 7.193344 0.004929 -42.671131 -1.625101 -99.000000 0.000000 0.627942 0.008548 0.017003 0.118878 3 4.5695E+09 2.176591 -0.006914 -99.000000 -99.000000 -6.918103 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.7187824510063599D-13 log_rel_run_E_err -10.0438303886623892 Teff 5716.5483620729 radius 1.0114129282 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 130.2549301020 M_H 0.0003508639 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 0.1231054491 log_R 0.0049285006 delta_nu 139.1365856807 nu_max 3023.4851123021 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2700000000 initial_FeH 0.0600000000 alpha 2.1350000000 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 333376.7926785171 model number 479 save best model results to outputs/sample_0004.data current set of sample results 1 2 3 4 5 6 7 8 samples version_number compiler build MESA_SDK_version math_backend date search_type 4 "08c12e86" "gfortran" "13.3.0" "x86_64-linux-25.12.1" "CRMATH" "20260107" "newuoa" 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first 4 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 1 3.3351280955150846E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799356269539430E+03 1.0231387428323298E+00 -1.7398950154099558E-03 9.9345302525710756E-03 1.3680797539651249E+02 2.9640874280697080E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351280955150846E+05 0 0 0 0 0 0 0 3 3.3365601948940614E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355922679182013E+03 1.0099931800936883E+00 2.9465145847822460E-02 4.3184412502880526E-03 1.3947655830944021E+02 3.0536911602776722E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365601948940614E+05 0 0 0 0 0 0 0 2 3.3467762476560613E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7648132271902086E+03 1.0621856308706739E+00 -1.2877173992562437E-02 2.6200422035306429E-02 1.2940090818201503E+02 2.7298470328750154E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3467762476560613E+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 10 5.954452 4733.609 -12.856101 -12.856101 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 408 0 -5.0000E+00 5.954444 0.953935 -99.000000 -14.253967 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0000E-04 -1.867445 1.563333 -99.000000 -99.000000 -7.764077 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954453 4595.940 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954445 0.953760 -99.000000 -14.253976 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 2.0000E-04 -1.867443 1.511710 -99.000000 -99.000000 -7.736293 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4530.427 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 401 0 -5.0000E+00 5.954446 0.953652 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 3.0000E-04 -1.867443 1.486555 -99.000000 -99.000000 -7.718439 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954454 4490.712 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 402 0 -5.0000E+00 5.954446 0.953577 -99.000000 -14.253983 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 2 4.0000E-04 -1.867442 1.471108 -99.000000 -99.000000 -7.706332 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954454 4464.062 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954446 0.953520 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 5.0000E-04 -1.867442 1.460655 -99.000000 -99.000000 -7.697719 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954455 4323.737 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 400 0 -2.2907E+00 5.954447 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0230E-02 -1.867440 1.404230 -99.000000 -99.000000 -7.645804 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562476342257225D-01 20 5.954552 4317.072 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396069 400 0 7.1957E-01 5.954545 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0486E+01 -1.867292 1.401230 -99.000000 -99.000000 -7.642835 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246339201115486D-01 30 6.001277 4351.246 -12.207559 -12.207559 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245110 404 0 3.4810E+00 6.001277 0.905373 -99.000000 -13.605424 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9486E+03 -1.731750 1.319895 -99.000000 -99.000000 -7.599471 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180162 4462.647 -9.835710 -9.835710 1.000000 1.000000 0.700000 0.001010 0.279976 -5.625094 416 0 4.0475E+00 6.180162 0.720230 -99.000000 -11.233569 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7297E+04 -1.194696 0.993525 -99.000000 -99.000000 -7.420612 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357874 4518.645 -7.720824 -7.720824 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009229 434 0 4.5599E+00 6.357874 0.538106 -99.000000 -9.118668 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0284E+05 -0.661323 0.650938 -99.000000 -99.000000 -7.222183 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531927 4517.956 -5.852617 -5.852617 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405381 447 0 5.0799E+00 6.531927 0.360878 -99.000000 -7.250418 -99.000000 0.000000 0.280000 0.009381 0.019671 0.071139 3 1.0459E+06 -0.138879 0.296218 -99.000000 -99.000000 -6.983364 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 2.4714940988704279D-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 6.616031 4252.690 -4.939882 -4.939882 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023903 457 0 -4.3321E+00 6.616031 0.265347 -99.000000 -6.337631 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072073 10 2.3634E-04 0.147057 0.000042 -20.293948 -99.000000 -6.877422 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6256453327496301D-13 log_rel_run_E_err -11.5774265226522193 20 6.616039 4297.519 -4.939887 -4.939887 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023903 457 0 -3.5403E+00 6.616039 0.265432 -99.000000 -6.337636 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072072 6 1.6863E-03 0.147069 0.018430 -99.000000 -99.000000 -6.898658 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.5450005112888465D-13 log_rel_run_E_err -11.2735583419004488 30 6.616054 4304.828 -4.939878 -4.939878 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023903 457 0 -2.7485E+00 6.616054 0.265532 -99.000000 -6.337628 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072071 2 1.0664E-02 0.147092 0.021580 -20.293948 -99.000000 -6.902136 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.5224949765582853D-13 log_rel_run_E_err -11.0975639405130693 40 6.616060 4306.945 -4.939874 -4.939874 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023902 457 0 -1.9567E+00 6.616060 0.265576 -99.000000 -6.337624 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 6.6254E-02 0.147101 0.022523 -99.000000 -99.000000 -6.903157 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6293962291774201D-13 log_rel_run_E_err -10.9729337648240044 50 6.616060 4307.072 -4.939873 -4.939873 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023902 457 0 -1.1648E+00 6.616060 0.265579 -99.000000 -6.337623 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 4.1045E-01 0.147102 0.022581 -99.000000 -99.000000 -6.903219 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6106414876881398D-13 log_rel_run_E_err -10.8742656394715507 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.616061 4307.073 -4.939872 -4.939872 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023902 457 0 -3.7304E-01 6.616061 0.265579 -99.000000 -6.337622 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 2.5416E+00 0.147103 0.022581 -99.000000 -99.000000 -6.903220 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.7794320919826124D-13 log_rel_run_E_err -10.7956021164217439 70 6.616061 4307.072 -4.939864 -4.939864 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023898 457 0 4.1878E-01 6.616061 0.265579 -99.000000 -6.337614 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 10 1.5737E+01 0.147105 0.022579 -20.072100 -99.000000 -6.903218 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.4756027267094264D-13 log_rel_run_E_err -10.7293100267427644 80 6.616066 4307.067 -4.939816 -4.939816 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023878 457 0 1.2106E+00 6.616066 0.265573 -99.000000 -6.337565 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2 9.7441E+01 0.147121 0.022567 -99.000000 -99.000000 -6.903210 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.4080573520444271D-13 log_rel_run_E_err -10.6723272723679337 90 6.616094 4307.035 -4.939515 -4.939515 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023748 457 0 2.0024E+00 6.616094 0.265542 -99.000000 -6.337264 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072071 2 6.0333E+02 0.147219 0.022491 -99.000000 -99.000000 -6.903157 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6910476981844478D-13 log_rel_run_E_err -10.6221703388324595 __________________________________________________________________________________________________________________________________________________ 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 6.616266 4306.834 -4.937655 -4.937655 1.000000 1.000000 0.720043 0.000958 0.261000 -4.022949 457 0 2.7942E+00 6.616266 0.265348 -99.000000 -6.335404 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072076 2 3.7356E+03 0.147823 0.022021 -99.000000 -99.000000 -6.902831 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.4873709949525665D-13 log_rel_run_E_err -10.5770127844714956 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.617328 4305.599 -4.926213 -4.926213 1.000000 1.000000 0.720043 0.000958 0.261000 -4.018013 457 0 3.5860E+00 6.617328 0.264151 -99.000000 -6.323961 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072106 2 2.3130E+04 0.151546 0.019130 -20.771070 -99.000000 -6.900821 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.4055700307489552D-13 log_rel_run_E_err -10.5365296165517286 120 6.623608 4298.120 -4.858080 -4.858080 1.000000 1.000000 0.720043 0.000958 0.261000 -3.987937 457 0 4.3778E+00 6.623608 0.257005 -99.000000 -6.255824 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072303 3 1.4322E+05 0.173949 0.001818 -99.000000 -99.000000 -6.888741 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6610650226095610D-13 log_rel_run_E_err -10.4743645458858108 130 6.653989 4257.655 -4.515512 -4.515512 1.000000 1.000000 0.720043 0.000958 0.261000 -3.816508 457 0 5.1697E+00 6.653989 0.220621 -99.000000 -5.913224 -99.000000 0.000000 0.261000 0.008891 0.018957 0.073895 4 8.8675E+05 0.293467 -0.087383 -19.992918 -99.000000 -6.825295 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase rel_E_err 2.6586915543975642D-13 log_rel_run_E_err -10.4714459820790591 140 6.738012 4178.220 -3.535927 -3.535927 1.000000 1.000000 0.720041 0.000958 0.260999 -3.157770 466 0 5.8317E+00 6.738012 0.119158 -99.000000 -4.933461 -99.000000 0.000000 0.261003 0.008891 0.018957 0.083362 3 5.0211E+06 0.702585 -0.323026 -99.000000 -99.000000 -6.660092 0.000000 0.003267 0.001976 0.018957 0.000E+00 varcontrol rel_E_err 1.9062185710388964D-11 log_rel_run_E_err -10.3278299526424338 150 6.852748 4430.947 -2.374186 -2.374186 1.000000 1.000000 0.720029 0.000958 0.260994 -2.284596 473 0 6.0017E+00 6.852748 0.041103 -99.000000 -3.771081 -99.000000 0.000000 0.261014 0.008891 0.018956 0.097094 4 1.4325E+07 1.245457 -0.377113 -99.000000 -99.000000 -6.687143 0.000000 0.003267 0.001976 0.018957 0.000E+00 lgRho_cntr rel_E_err 2.1362982909911528D-13 log_rel_run_E_err -10.4399016089964860 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.022173 5256.150 -0.988090 -0.988090 1.000000 1.000000 0.719892 0.000963 0.260975 -1.554472 488 0 6.1235E+00 7.022173 0.011784 -53.242717 -2.399880 -99.000000 0.000000 0.261150 0.008892 0.018955 0.100776 5 2.6547E+07 1.802090 -0.139067 -99.000000 -99.000000 -6.826847 0.000000 0.003263 0.001976 0.018959 0.000E+00 lgRho_cntr rel_E_err 1.5945511904941201D-13 log_rel_run_E_err -10.5750305420653277 (age_target - star_age)/age_sigma 169 694.7988829856 reducing max timestep prior to age target 169 4.5161927394061136D+09 170 7.125461 5499.914 -0.187476 -0.187476 1.000000 1.000000 0.718254 0.002658 0.260792 -1.719773 509 0 6.8221E+00 7.125461 -0.052115 -47.558967 -1.779552 -99.000000 0.000000 0.262542 0.008893 0.018944 0.085141 5 5.9946E+07 1.890366 -0.188112 -15.954590 -99.000000 -6.795057 0.000000 0.001811 0.001977 0.019204 0.000E+00 max increase rel_E_err 1.9392559398007937D-13 log_rel_run_E_err -10.6143974905287166 (age_target - star_age)/age_sigma 177 677.9477171898 reducing max timestep prior to age target 177 4.4066601617334375D+09 180 7.124439 5517.478 -0.172699 -0.172699 1.000000 1.000000 0.705448 0.004759 0.259569 -1.668466 500 0 7.6139E+00 7.124439 -0.047156 -47.509057 -1.827588 -99.000000 0.000000 0.275021 0.008905 0.018866 0.087528 10 2.6674E+08 1.913061 -0.172655 -15.954590 -99.000000 -6.804010 0.000000 0.000017 0.001979 0.019531 0.000E+00 max increase rel_E_err 1.7411571894141759D-13 log_rel_run_E_err -10.5845876026744694 (age_target - star_age)/age_sigma 180 661.9623929805 reducing max timestep prior to age target 180 4.3027555543733883D+09 (age_target - star_age)/age_sigma 182 645.2673906416 reducing max timestep prior to age target 182 4.1942380391701026D+09 (age_target - star_age)/age_sigma 183 634.3397527470 reducing max timestep prior to age target 183 4.1232083928552246D+09 (age_target - star_age)/age_sigma 184 622.0208088893 reducing max timestep prior to age target 184 4.0431352577802448D+09 (age_target - star_age)/age_sigma 185 609.9482439087 reducing max timestep prior to age target 185 3.9646635854067650D+09 (age_target - star_age)/age_sigma 186 598.1171302278 reducing max timestep prior to age target 186 3.8877613464807549D+09 (age_target - star_age)/age_sigma 187 586.5226388205 reducing max timestep prior to age target 187 3.8123971523332644D+09 (age_target - star_age)/age_sigma 188 575.1600372413 reducing max timestep prior to age target 188 3.7385402420687242D+09 (age_target - star_age)/age_sigma 189 564.0246876938 reducing max timestep prior to age target 189 3.6661604700094748D+09 190 7.131691 5536.176 -0.152440 -0.152440 1.000000 1.000000 0.655629 0.004798 0.255425 -1.647967 503 0 7.8508E+00 7.131691 -0.039952 -46.892327 -1.817533 -99.000000 0.000000 0.324740 0.008940 0.018598 0.090814 10 9.7427E+08 1.945116 -0.152371 -99.000000 -99.000000 -6.816017 0.000000 0.000014 0.001989 0.019631 0.000E+00 max_dt rel_E_err 1.6837839004703414D-13 log_rel_run_E_err -10.5574971748545270 (age_target - star_age)/age_sigma 190 553.1120451371 reducing max timestep prior to age target 190 3.5952282933914099D+09 (age_target - star_age)/age_sigma 191 542.4176554316 reducing max timestep prior to age target 191 3.5257147603057065D+09 (age_target - star_age)/age_sigma 192 531.9371535203 reducing max timestep prior to age target 192 3.4575914978817177D+09 (age_target - star_age)/age_sigma 193 521.6662616471 reducing max timestep prior to age target 193 3.3908307007062082D+09 (age_target - star_age)/age_sigma 194 511.6007876114 reducing max timestep prior to age target 194 3.3254051194742088D+09 (age_target - star_age)/age_sigma 195 501.7366230564 reducing max timestep prior to age target 195 3.2612880498668499D+09 (age_target - star_age)/age_sigma 196 492.0697417926 reducing max timestep prior to age target 196 3.1984533216516376D+09 (age_target - star_age)/age_sigma 197 482.5961981540 reducing max timestep prior to age target 197 3.1368752880007296D+09 (age_target - star_age)/age_sigma 198 473.3121253881 reducing max timestep prior to age target 198 3.0765288150228405D+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 5551.943 -0.134989 -0.134989 1.000000 1.000000 0.609946 0.004833 0.251858 -1.630397 505 0 7.7719E+00 7.138991 -0.033695 -46.319741 -1.799121 -99.000000 0.000000 0.370336 0.008965 0.018366 0.094031 10 1.6113E+09 1.975316 -0.134916 -99.000000 -99.000000 -6.827056 0.000000 0.000015 0.001998 0.019717 0.000E+00 max_dt rel_E_err 1.7614560098634795D-13 log_rel_run_E_err -10.5308882283426897 (age_target - star_age)/age_sigma 200 455.1153427671 reducing max timestep prior to age target 200 2.9582497279861765D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 446.1989192828 reducing max timestep prior to age target 201 2.9002929753382111D+09 (age_target - star_age)/age_sigma 202 437.4608242682 reducing max timestep prior to age target 202 2.8434953577432051D+09 (age_target - star_age)/age_sigma 203 428.8974911539 reducing max timestep prior to age target 203 2.7878336925000997D+09 (age_target - star_age)/age_sigma 204 420.5054247018 reducing max timestep prior to age target 204 2.7332852605618558D+09 (age_target - star_age)/age_sigma 205 412.2811995788 reducing max timestep prior to age target 205 2.6798277972623768D+09 (age_target - star_age)/age_sigma 206 404.2214589583 reducing max timestep prior to age target 206 2.6274394832288876D+09 (age_target - star_age)/age_sigma 207 396.3229131502 reducing max timestep prior to age target 207 2.5760989354760685D+09 (age_target - star_age)/age_sigma 208 388.5823382582 reducing max timestep prior to age target 208 2.5257851986783056D+09 (age_target - star_age)/age_sigma 209 380.9965748641 reducing max timestep prior to age target 209 2.4764777366164975D+09 210 7.145461 5564.886 -0.120119 -0.120119 1.000000 1.000000 0.571431 0.004867 0.248794 -1.614609 509 0 7.6841E+00 7.145461 -0.028283 -45.832848 -1.781611 -99.000000 0.000000 0.408781 0.008979 0.018169 0.096995 10 2.1413E+09 2.001916 -0.120047 -99.000000 -99.000000 -6.836678 0.000000 0.000015 0.002005 0.019788 0.000E+00 max_dt rel_E_err 1.8675884405639665D-13 log_rel_run_E_err -10.5055462056154205 (age_target - star_age)/age_sigma 210 373.5625267378 reducing max timestep prior to age target 210 2.4281564237959261D+09 (age_target - star_age)/age_sigma 211 366.2771595741 reducing max timestep prior to age target 211 2.3808015372317657D+09 (age_target - star_age)/age_sigma 212 359.1374997537 reducing max timestep prior to age target 212 2.3343937483988886D+09 (age_target - star_age)/age_sigma 213 352.1406331296 reducing max timestep prior to age target 213 2.2889141153426690D+09 (age_target - star_age)/age_sigma 214 345.2837038381 reducing max timestep prior to age target 214 2.2443440749475741D+09 (age_target - star_age)/age_sigma 215 338.5639131324 reducing max timestep prior to age target 215 2.2006654353603811D+09 (age_target - star_age)/age_sigma 216 331.9785182408 reducing max timestep prior to age target 216 2.1578603685649323D+09 (age_target - star_age)/age_sigma 217 325.5248312470 reducing max timestep prior to age target 217 2.1159114031053920D+09 (age_target - star_age)/age_sigma 218 319.2002179931 reducing max timestep prior to age target 218 2.0748014169550424D+09 (age_target - star_age)/age_sigma 219 313.0020970043 reducing max timestep prior to age target 219 2.0345136305276999D+09 220 7.151020 5575.082 -0.107678 -0.107678 1.000000 1.000000 0.539599 0.004899 0.246390 -1.600844 507 0 7.5964E+00 7.151020 -0.023652 -45.426720 -1.766105 -99.000000 0.000000 0.440557 0.008985 0.018014 0.099644 10 2.5745E+09 2.024693 -0.107606 -99.000000 -99.000000 -6.844839 0.000000 0.000016 0.002011 0.019843 0.000E+00 max_dt rel_E_err 1.7918143474408534D-13 log_rel_run_E_err -10.4814900149053578 (age_target - star_age)/age_sigma 220 306.9279384352 reducing max timestep prior to age target 220 1.9950315998289042D+09 (age_target - star_age)/age_sigma 221 300.9752630376 reducing max timestep prior to age target 221 1.9563392097440844D+09 (age_target - star_age)/age_sigma 222 295.1416411478 reducing max timestep prior to age target 222 1.9184206674609613D+09 (age_target - star_age)/age_sigma 223 289.4246916959 reducing max timestep prior to age target 223 1.8812604960235004D+09 (age_target - star_age)/age_sigma 224 283.8220812330 reducing max timestep prior to age target 224 1.8448435280147891D+09 (age_target - star_age)/age_sigma 225 278.3315229794 reducing max timestep prior to age target 225 1.8091548993662515D+09 (age_target - star_age)/age_sigma 226 272.9507758909 reducing max timestep prior to age target 226 1.7741800432906847D+09 (age_target - star_age)/age_sigma 227 267.6776437441 reducing max timestep prior to age target 227 1.7399046843366294D+09 (age_target - star_age)/age_sigma 228 262.5099742403 reducing max timestep prior to age target 228 1.7063148325616555D+09 (age_target - star_age)/age_sigma 229 257.4456581265 reducing max timestep prior to age target 229 1.6733967778221807D+09 230 7.155766 5583.378 -0.097266 -0.097266 1.000000 1.000000 0.513330 0.004930 0.244375 -1.588961 507 0 7.5087E+00 7.155766 -0.019738 -45.088020 -1.752595 -99.000000 0.000000 0.466783 0.008984 0.017884 0.101981 10 2.9284E+09 2.044077 -0.097195 -15.954590 -99.000000 -6.851745 0.000000 0.000016 0.002016 0.019887 0.000E+00 max_dt rel_E_err 1.8707617717797353D-13 log_rel_run_E_err -10.4586368291642078 (age_target - star_age)/age_sigma 230 252.4826283350 reducing max timestep prior to age target 230 1.6411370841774955D+09 (age_target - star_age)/age_sigma 231 247.6188591393 reducing max timestep prior to age target 231 1.6095225844057040D+09 (age_target - star_age)/age_sigma 232 242.8523653276 reducing max timestep prior to age target 232 1.5785403746293483D+09 (age_target - star_age)/age_sigma 233 238.1812013921 reducing max timestep prior to age target 233 1.5481778090485196D+09 (age_target - star_age)/age_sigma 235 229.0257200785 reducing max timestep prior to age target 235 1.4886671805100961D+09 (age_target - star_age)/age_sigma 236 224.5395342348 reducing max timestep prior to age target 236 1.4595069725262680D+09 (age_target - star_age)/age_sigma 237 220.1430721080 reducing max timestep prior to age target 237 1.4309299687021170D+09 (age_target - star_age)/age_sigma 238 215.8345392238 reducing max timestep prior to age target 238 1.4029245049544487D+09 (age_target - star_age)/age_sigma 239 211.6121769972 reducing max timestep prior to age target 239 1.3754791504817338D+09 240 7.159838 5590.108 -0.088490 -0.088490 1.000000 1.000000 0.491420 0.004958 0.242722 -1.578676 507 0 7.4297E+00 7.159838 -0.016398 -44.802616 -1.740828 -99.000000 0.000000 0.488658 0.008979 0.017778 0.104045 10 3.2209E+09 2.060670 -0.088421 -15.653560 -99.000000 -6.857605 0.000000 0.000017 0.002019 0.019922 0.000E+00 max_dt rel_E_err 1.8505808992508038D-13 log_rel_run_E_err -10.4371819860411481 (age_target - star_age)/age_sigma 240 207.4742620151 reducing max timestep prior to age target 240 1.3485827030984735D+09 (age_target - star_age)/age_sigma 241 203.4191053328 reducing max timestep prior to age target 241 1.3222241846628785D+09 (age_target - star_age)/age_sigma 242 199.4450517840 reducing max timestep prior to age target 242 1.2963928365959945D+09 (age_target - star_age)/age_sigma 243 195.5504793062 reducing max timestep prior to age target 243 1.2710781154904490D+09 (age_target - star_age)/age_sigma 244 191.7337982780 reducing max timestep prior to age target 244 1.2462696888070140D+09 (age_target - star_age)/age_sigma 245 187.9934508703 reducing max timestep prior to age target 245 1.2219574306572480D+09 (age_target - star_age)/age_sigma 246 184.3279104108 reducing max timestep prior to age target 246 1.1981314176704774D+09 (age_target - star_age)/age_sigma 247 180.7356807605 reducing max timestep prior to age target 247 1.1747819249434419D+09 (age_target - star_age)/age_sigma 248 177.2152957032 reducing max timestep prior to age target 248 1.1518994220709472D+09 (age_target - star_age)/age_sigma 249 173.7653183471 reducing max timestep prior to age target 249 1.1294745692559023D+09 250 7.163297 5595.520 -0.081144 -0.081144 1.000000 1.000000 0.473224 0.004985 0.241392 -1.569886 507 0 7.3420E+00 7.163297 -0.013566 -44.563421 -1.730701 -99.000000 0.000000 0.506826 0.008971 0.017692 0.105845 10 3.4620E+09 2.074730 -0.081076 -15.954590 -99.000000 -6.862533 0.000000 0.000017 0.002023 0.019950 0.000E+00 max_dt rel_E_err 1.7899390003500190D-13 log_rel_run_E_err -10.4163155226420550 (age_target - star_age)/age_sigma 250 170.3843405380 reducing max timestep prior to age target 250 1.1074982134971581D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 167.0709822852 reducing max timestep prior to age target 251 1.0859613848535895D+09 (age_target - star_age)/age_sigma 252 163.8238911974 reducing max timestep prior to age target 252 1.0648552927828918D+09 (age_target - star_age)/age_sigma 253 160.6417419313 reducing max timestep prior to age target 253 1.0441713225536079D+09 (age_target - star_age)/age_sigma 254 157.5232356506 reducing max timestep prior to age target 254 1.0239010317289100D+09 (age_target - star_age)/age_sigma 255 154.4670994955 reducing max timestep prior to age target 255 1.0040361467207065D+09 (age_target - star_age)/age_sigma 256 151.4720860635 reducing max timestep prior to age target 256 9.8456855941266632D+08 (age_target - star_age)/age_sigma 257 148.5369729001 reducing max timestep prior to age target 257 9.6549032385078716D+08 (age_target - star_age)/age_sigma 258 145.6605620000 reducing max timestep prior to age target 258 9.4679365300014544D+08 (age_target - star_age)/age_sigma 259 142.8416793179 reducing max timestep prior to age target 259 9.2847091556651640D+08 260 7.166194 5599.841 -0.075064 -0.075064 1.000000 1.000000 0.458257 0.005009 0.240324 -1.562481 508 0 7.2542E+00 7.166194 -0.011197 -44.365172 -1.722123 -99.000000 0.000000 0.521771 0.008961 0.017622 0.107387 10 3.6590E+09 2.086489 -0.074997 -15.000347 -99.000000 -6.866625 0.000000 0.000017 0.002025 0.019972 0.000E+00 max_dt rel_E_err 1.8096654565875805D-13 log_rel_run_E_err -10.3966793237466870 (age_target - star_age)/age_sigma 260 140.0791742895 reducing max timestep prior to age target 260 9.1051463288156080D+08 (age_target - star_age)/age_sigma 261 137.3719193616 reducing max timestep prior to age target 261 8.9291747585030365D+08 (age_target - star_age)/age_sigma 262 134.7188095323 reducing max timestep prior to age target 262 8.7567226195967150D+08 (age_target - star_age)/age_sigma 263 132.1187618995 reducing max timestep prior to age target 263 8.5877195234685230D+08 (age_target - star_age)/age_sigma 264 129.5707152194 reducing max timestep prior to age target 264 8.4220964892628956D+08 (age_target - star_age)/age_sigma 265 127.0736294729 reducing max timestep prior to age target 265 8.2597859157413816D+08 (age_target - star_age)/age_sigma 266 124.6264854414 reducing max timestep prior to age target 266 8.1007215536902952D+08 (age_target - star_age)/age_sigma 267 122.2282842905 reducing max timestep prior to age target 267 7.9448384788802290D+08 (age_target - star_age)/age_sigma 269 117.5278100347 reducing max timestep prior to age target 269 7.6393076522525024D+08 270 7.168620 5603.338 -0.070021 -0.070021 1.000000 1.000000 0.445910 0.005031 0.239445 -1.556249 508 0 7.1753E+00 7.168620 -0.009218 -44.200581 -1.714870 -99.000000 0.000000 0.534100 0.008950 0.017566 0.108704 10 3.8205E+09 2.096327 -0.069954 -15.477469 -99.000000 -6.870019 0.000000 0.000017 0.002027 0.019990 0.000E+00 max_dt rel_E_err 1.9288318363705748D-13 log_rel_run_E_err -10.3777346814390423 (age_target - star_age)/age_sigma 270 115.2245776493 reducing max timestep prior to age target 270 7.4895975472049141D+08 (age_target - star_age)/age_sigma 271 112.9674099117 reducing max timestep prior to age target 271 7.3428816442582798D+08 (age_target - star_age)/age_sigma 272 110.7553855288 reducing max timestep prior to age target 272 7.1991000593705797D+08 (age_target - star_age)/age_sigma 273 108.5876016335 reducing max timestep prior to age target 273 7.0581941061806345D+08 (age_target - star_age)/age_sigma 274 106.4631734162 reducing max timestep prior to age target 274 6.9201062720544815D+08 (age_target - star_age)/age_sigma 275 104.3812337632 reducing max timestep prior to age target 275 6.7847801946108580D+08 (age_target - star_age)/age_sigma 276 102.3409329033 reducing max timestep prior to age target 276 6.6521606387161064D+08 (age_target - star_age)/age_sigma 277 100.3414380606 reducing max timestep prior to age target 277 6.5221934739392471D+08 (age_target - star_age)/age_sigma 278 98.3819331147 reducing max timestep prior to age target 278 6.3948256524579239D+08 (age_target - star_age)/age_sigma 279 96.4616182678 reducing max timestep prior to age target 279 6.2700051874062300D+08 280 7.170690 5606.200 -0.065789 -0.065789 1.000000 1.000000 0.435603 0.005051 0.238678 -1.550936 507 0 7.0875E+00 7.170690 -0.007546 -44.062421 -1.708688 -99.000000 0.000000 0.544394 0.008939 0.017516 0.109835 10 3.9547E+09 2.104674 -0.065724 -99.000000 -99.000000 -6.872890 0.000000 0.000018 0.002029 0.020004 0.000E+00 max_dt rel_E_err 1.7250475482250635D-13 log_rel_run_E_err -10.3599482381359760 (age_target - star_age)/age_sigma 280 94.5797097178 reducing max timestep prior to age target 280 6.1476811316555691D+08 (age_target - star_age)/age_sigma 281 92.7354393388 reducing max timestep prior to age target 281 6.0278035570199203D+08 (age_target - star_age)/age_sigma 282 90.9280543673 reducing max timestep prior to age target 282 5.9103235338769865D+08 (age_target - star_age)/age_sigma 283 89.1568170953 reducing max timestep prior to age target 283 5.7951931111969090D+08 (age_target - star_age)/age_sigma 284 87.4210045688 reducing max timestep prior to age target 284 5.6823652969704294D+08 (age_target - star_age)/age_sigma 285 85.7199082927 reducing max timestep prior to age target 285 5.5717940390284872D+08 (age_target - star_age)/age_sigma 286 84.0528339422 reducing max timestep prior to age target 286 5.4634342062453842D+08 (age_target - star_age)/age_sigma 287 82.4191010787 reducing max timestep prior to age target 287 5.3572415701179409D+08 (age_target - star_age)/age_sigma 288 80.8180428725 reducing max timestep prior to age target 288 5.2531727867130470D+08 (age_target - star_age)/age_sigma 289 79.2490058304 reducing max timestep prior to age target 289 5.1511853789762497D+08 290 7.172521 5608.539 -0.062299 -0.062299 1.000000 1.000000 0.427131 0.005068 0.238062 -1.546397 506 0 6.9998E+00 7.172521 -0.006164 -43.947690 -1.703540 -99.000000 0.000000 0.552854 0.008928 0.017476 0.110777 5 4.0644E+09 2.111817 -0.062235 -15.000347 -99.000000 -6.875261 0.000000 0.000018 0.002030 0.020015 0.000E+00 max_dt rel_E_err 1.6659385372916060D-13 log_rel_run_E_err -10.3429297357153835 (age_target - star_age)/age_sigma 290 77.7113495291 reducing max timestep prior to age target 290 5.0512377193941879D+08 (age_target - star_age)/age_sigma 291 76.2044463539 reducing max timestep prior to age target 291 4.9532890130037737D+08 (age_target - star_age)/age_sigma 292 74.7276812422 reducing max timestep prior to age target 292 4.8572992807411623D+08 (age_target - star_age)/age_sigma 293 73.2804514327 reducing max timestep prior to age target 293 4.7632293431238031D+08 (age_target - star_age)/age_sigma 294 71.8621662194 reducing max timestep prior to age target 294 4.6710408042587900D+08 (age_target - star_age)/age_sigma 295 70.4722467103 reducing max timestep prior to age target 295 4.5806960361710739D+08 (age_target - star_age)/age_sigma 296 69.1101255915 reducing max timestep prior to age target 296 4.4921581634451199D+08 (age_target - star_age)/age_sigma 297 67.7752468950 reducing max timestep prior to age target 297 4.4053910481736803D+08 (age_target - star_age)/age_sigma 298 66.4670657724 reducing max timestep prior to age target 298 4.3203592752076721D+08 (age_target - star_age)/age_sigma 299 65.1850482723 reducing max timestep prior to age target 299 4.2370281377009821D+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 7.173929 5610.395 -0.059437 -0.059437 1.000000 1.000000 0.420180 0.005083 0.237565 -1.542728 506 0 6.9120E+00 7.173929 -0.005020 -43.853835 -1.699249 -99.000000 0.000000 0.559796 0.008919 0.017444 0.111576 5 4.1540E+09 2.117525 -0.059373 -99.000000 -99.000000 -6.877202 0.000000 0.000018 0.002031 0.020024 0.000E+00 max_dt rel_E_err 1.9018276124932092D-13 log_rel_run_E_err -10.3261182344849107 (age_target - star_age)/age_sigma 300 63.9286711222 reducing max timestep prior to age target 300 4.1553636229444265D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.6974215151 reducing max timestep prior to age target 301 4.0753323984830046D+08 (age_target - star_age)/age_sigma 302 61.4907969002 reducing max timestep prior to age target 302 3.9969017985108089D+08 (age_target - star_age)/age_sigma 304 59.1258126549 reducing max timestep prior to age target 304 3.8431778225652981D+08 (age_target - star_age)/age_sigma 305 57.9669703746 reducing max timestep prior to age target 305 3.7678530743520021D+08 (age_target - star_age)/age_sigma 306 56.8313049400 reducing max timestep prior to age target 306 3.6940348211029673D+08 (age_target - star_age)/age_sigma 307 55.7183528141 reducing max timestep prior to age target 307 3.6216929329189205D+08 (age_target - star_age)/age_sigma 308 54.6276597307 reducing max timestep prior to age target 308 3.5507978824985456D+08 (age_target - star_age)/age_sigma 309 53.5587805090 reducing max timestep prior to age target 309 3.4813207330865860D+08 310 7.175109 5611.957 -0.057043 -0.057043 1.000000 1.000000 0.414405 0.005097 0.237157 -1.539657 509 0 6.8331E+00 7.175109 -0.004066 -43.775501 -1.695631 -99.000000 0.000000 0.565564 0.008910 0.017418 0.112251 5 4.2282E+09 2.122300 -0.056980 -15.954590 -99.000000 -6.878831 0.000000 0.000018 0.002032 0.020031 0.000E+00 max_dt rel_E_err 1.7355042381861887D-13 log_rel_run_E_err -10.3099098650865297 (age_target - star_age)/age_sigma 310 52.5112788717 reducing max timestep prior to age target 310 3.4132331266628647D+08 (age_target - star_age)/age_sigma 311 51.4847272672 reducing max timestep prior to age target 311 3.3465072723676157D+08 (age_target - star_age)/age_sigma 312 50.4787066947 reducing max timestep prior to age target 312 3.2811159351582718D+08 (age_target - star_age)/age_sigma 313 49.4928065337 reducing max timestep prior to age target 313 3.2170324246931171D+08 (age_target - star_age)/age_sigma 314 48.5266243760 reducing max timestep prior to age target 314 3.1542305844372654D+08 (age_target - star_age)/age_sigma 315 47.5797658613 reducing max timestep prior to age target 315 3.0926847809865284D+08 (age_target - star_age)/age_sigma 316 46.6518445170 reducing max timestep prior to age target 316 3.0323698936048079D+08 (age_target - star_age)/age_sigma 317 45.7424815995 reducing max timestep prior to age target 317 2.9732613039707184D+08 (age_target - star_age)/age_sigma 318 44.8513059405 reducing max timestep prior to age target 318 2.9153348861293125D+08 (age_target - star_age)/age_sigma 319 43.9779537945 reducing max timestep prior to age target 319 2.8585669966447353D+08 320 7.176087 5613.194 -0.055075 -0.055075 1.000000 1.000000 0.409643 0.005108 0.236824 -1.537099 509 0 6.7453E+00 7.176087 -0.003274 -43.710805 -1.692630 -99.000000 0.000000 0.570320 0.008902 0.017396 0.112816 5 4.2892E+09 2.126261 -0.055013 -15.352530 -99.000000 -6.880167 0.000000 0.000018 0.002033 0.020037 0.000E+00 max_dt rel_E_err 1.6984203951152975D-13 log_rel_run_E_err -10.2943668197399791 (age_target - star_age)/age_sigma 320 43.1220686915 reducing max timestep prior to age target 320 2.8029344649498463D+08 (age_target - star_age)/age_sigma 321 42.2833012906 reducing max timestep prior to age target 321 2.7484145838888597D+08 (age_target - star_age)/age_sigma 322 41.4613092377 reducing max timestep prior to age target 322 2.6949851004490852D+08 (age_target - star_age)/age_sigma 323 40.6557570258 reducing max timestep prior to age target 323 2.6426242066781139D+08 (age_target - star_age)/age_sigma 324 39.8663158582 reducing max timestep prior to age target 324 2.5913105307825661D+08 (age_target - star_age)/age_sigma 325 39.0926635139 reducing max timestep prior to age target 325 2.5410231284049225D+08 (age_target - star_age)/age_sigma 326 38.3344842165 reducing max timestep prior to age target 326 2.4917414740748310D+08 (age_target - star_age)/age_sigma 327 37.5914685051 reducing max timestep prior to age target 327 2.4434454528313446D+08 (age_target - star_age)/age_sigma 328 36.8633131079 reducing max timestep prior to age target 328 2.3961153520127296D+08 (age_target - star_age)/age_sigma 329 36.1497208186 reducing max timestep prior to age target 329 2.3497318532104874D+08 330 7.176891 5614.198 -0.053462 -0.053462 1.000000 1.000000 0.405744 0.005117 0.236547 -1.534989 509 0 6.6576E+00 7.176891 -0.002622 -43.657713 -1.690152 -99.000000 0.000000 0.574214 0.008895 0.017378 0.113284 5 4.3391E+09 2.129519 -0.053400 -15.954590 -99.000000 -6.881262 0.000000 0.000018 0.002034 0.020042 0.000E+00 max_dt rel_E_err 1.6657534828419280D-13 log_rel_run_E_err -10.2793539405870025 (age_target - star_age)/age_sigma 330 35.4504003751 reducing max timestep prior to age target 330 2.3042760243842793D+08 (age_target - star_age)/age_sigma 331 34.7650663405 reducing max timestep prior to age target 331 2.2597293121346092D+08 (age_target - star_age)/age_sigma 332 34.0934389866 reducing max timestep prior to age target 332 2.2160735341299248D+08 (age_target - star_age)/age_sigma 333 33.4352441798 reducing max timestep prior to age target 333 2.1732908716853333D+08 (age_target - star_age)/age_sigma 334 32.7902132691 reducing max timestep prior to age target 334 2.1313638624896336D+08 (age_target - star_age)/age_sigma 335 32.1580829766 reducing max timestep prior to age target 335 2.0902753934778500D+08 (age_target - star_age)/age_sigma 336 31.5385952899 reducing max timestep prior to age target 336 2.0500086938463020D+08 (age_target - star_age)/age_sigma 337 30.9314973570 reducing max timestep prior to age target 337 2.0105473282073879D+08 (age_target - star_age)/age_sigma 338 30.3365413828 reducing max timestep prior to age target 338 1.9718751898812485D+08 340 7.177554 5615.017 -0.052135 -0.052135 1.000000 1.000000 0.402547 0.005125 0.236314 -1.533251 510 0 6.5786E+00 7.177554 -0.002086 -43.614067 -1.688105 -99.000000 0.000000 0.577407 0.008890 0.017363 0.113672 5 4.3799E+09 2.132202 -0.052073 -99.000000 -99.000000 -6.882165 0.000000 0.000018 0.002034 0.020046 0.000E+00 max_dt rel_E_err 1.7298777493085742D-13 log_rel_run_E_err -10.2647668168174171 (age_target - star_age)/age_sigma 340 29.1704276733 reducing max timestep prior to age target 340 1.8960777987620163D+08 (age_target - star_age)/age_sigma 341 28.5990319556 reducing max timestep prior to age target 341 1.8589370771135902D+08 (age_target - star_age)/age_sigma 342 28.0390641523 reducing max timestep prior to age target 342 1.8225391698981380D+08 (age_target - star_age)/age_sigma 343 27.4902957050 reducing max timestep prior to age target 343 1.7868692208269978D+08 (age_target - star_age)/age_sigma 344 26.9525026267 reducing max timestep prior to age target 344 1.7519126707372665D+08 (age_target - star_age)/age_sigma 345 26.4254654100 reducing max timestep prior to age target 345 1.7176552516493416D+08 (age_target - star_age)/age_sigma 346 25.9089689376 reducing max timestep prior to age target 346 1.6840829809431648D+08 (age_target - star_age)/age_sigma 347 25.4028023946 reducing max timestep prior to age target 347 1.6511821556511211D+08 (age_target - star_age)/age_sigma 348 24.9067591825 reducing max timestep prior to age target 348 1.6189393468649197D+08 (age_target - star_age)/age_sigma 349 24.4206368347 reducing max timestep prior to age target 349 1.5873413942544365D+08 350 7.178108 5615.692 -0.051030 -0.051030 1.000000 1.000000 0.399883 0.005132 0.236121 -1.531795 510 0 6.4909E+00 7.178108 -0.001638 -43.577643 -1.686392 -99.000000 0.000000 0.580069 0.008885 0.017351 0.113998 5 4.4139E+09 2.134445 -0.050969 -99.000000 -99.000000 -6.882917 0.000000 0.000019 0.002035 0.020049 0.000E+00 max_dt rel_E_err 1.8842795173779849D-13 log_rel_run_E_err -10.2507867461338442 (age_target - star_age)/age_sigma 350 23.9442369338 reducing max timestep prior to age target 350 1.5563754006961632D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.4773650309 reducing max timestep prior to age target 351 1.5260287270090580D+08 (age_target - star_age)/age_sigma 352 23.0198305661 reducing max timestep prior to age target 352 1.4962889867956924D+08 (age_target - star_age)/age_sigma 353 22.5714467906 reducing max timestep prior to age target 353 1.4671440413866043D+08 (age_target - star_age)/age_sigma 354 22.1320306905 reducing max timestep prior to age target 354 1.4385819948856831D+08 (age_target - star_age)/age_sigma 355 21.7014029125 reducing max timestep prior to age target 355 1.4105911893147850D+08 (age_target - star_age)/age_sigma 356 21.2793876901 reducing max timestep prior to age target 356 1.3831601998553085D+08 (age_target - star_age)/age_sigma 357 20.8658127721 reducing max timestep prior to age target 357 1.3562778301850224D+08 (age_target - star_age)/age_sigma 358 20.4605093524 reducing max timestep prior to age target 358 1.3299331079081345D+08 (age_target - star_age)/age_sigma 359 20.0633120012 reducing max timestep prior to age target 359 1.3041152800767899D+08 360 7.178562 5616.240 -0.050126 -0.050126 1.000000 1.000000 0.397703 0.005138 0.235965 -1.530601 510 0 6.4031E+00 7.178562 -0.001271 -43.547802 -1.684984 -99.000000 0.000000 0.582246 0.008880 0.017340 0.114266 5 4.4416E+09 2.136284 -0.050065 -99.000000 -99.000000 -6.883532 0.000000 0.000019 0.002035 0.020051 0.000E+00 max_dt rel_E_err 1.8732774979304350D-13 log_rel_run_E_err -10.2369855187283267 (age_target - star_age)/age_sigma 360 19.6740585970 reducing max timestep prior to age target 360 1.2788138088020706D+08 (age_target - star_age)/age_sigma 361 19.2925902608 reducing max timestep prior to age target 361 1.2540183669528389D+08 (age_target - star_age)/age_sigma 362 18.9187512914 reducing max timestep prior to age target 362 1.2297188339406013D+08 (age_target - star_age)/age_sigma 363 18.5523891014 reducing max timestep prior to age target 363 1.2059052915886116D+08 (age_target - star_age)/age_sigma 364 18.1933541551 reducing max timestep prior to age target 364 1.1825680200836468D+08 (age_target - star_age)/age_sigma 365 17.8414999078 reducing max timestep prior to age target 365 1.1596974940087986D+08 (age_target - star_age)/age_sigma 366 17.4966827455 reducing max timestep prior to age target 366 1.1372843784554386D+08 (age_target - star_age)/age_sigma 367 17.1587619264 reducing max timestep prior to age target 367 1.1153195252131462D+08 (age_target - star_age)/age_sigma 368 16.8275995236 reducing max timestep prior to age target 368 1.0937939690357018D+08 (age_target - star_age)/age_sigma 369 16.5030603690 reducing max timestep prior to age target 369 1.0726989239818001D+08 370 7.178935 5616.687 -0.049385 -0.049385 1.000000 1.000000 0.395920 0.005143 0.235838 -1.529623 510 0 6.3154E+00 7.178935 -0.000970 -43.523366 -1.683828 -99.000000 0.000000 0.584026 0.008877 0.017332 0.114486 5 4.4643E+09 2.137791 -0.049325 -15.954590 -99.000000 -6.884036 0.000000 0.000019 0.002035 0.020053 0.000E+00 max_dt rel_E_err 1.7871457970719802D-13 log_rel_run_E_err -10.2234458444182064 (age_target - star_age)/age_sigma 370 16.1850119974 reducing max timestep prior to age target 370 1.0520257798289871D+08 (age_target - star_age)/age_sigma 371 15.8733245932 reducing max timestep prior to age target 371 1.0317660985592175D+08 (age_target - star_age)/age_sigma 372 15.5678709372 reducing max timestep prior to age target 372 1.0119116109148502D+08 (age_target - star_age)/age_sigma 374 14.9691817713 reducing max timestep prior to age target 374 9.7299681513189316D+07 (age_target - star_age)/age_sigma 375 14.6758240800 reducing max timestep prior to age target 375 9.5392856519824028D+07 (age_target - star_age)/age_sigma 376 14.3883335425 reducing max timestep prior to age target 376 9.3524168026326180D+07 (age_target - star_age)/age_sigma 377 14.1065928158 reducing max timestep prior to age target 377 9.1692853302699089D+07 (age_target - star_age)/age_sigma 378 13.8304869036 reducing max timestep prior to age target 378 8.9898164873543739D+07 (age_target - star_age)/age_sigma 379 13.5599031097 reducing max timestep prior to age target 379 8.8139370212971687D+07 380 7.179245 5617.056 -0.048772 -0.048772 1.000000 1.000000 0.394442 0.005147 0.235733 -1.528811 510 0 6.2364E+00 7.179245 -0.000720 -43.503086 -1.682867 -99.000000 0.000000 0.585503 0.008874 0.017325 0.114670 5 4.4831E+09 2.139043 -0.048711 -15.954590 -99.000000 -6.884453 0.000000 0.000019 0.002036 0.020055 0.000E+00 max_dt rel_E_err 1.7246927041177700D-13 log_rel_run_E_err -10.2108689608317995 (age_target - star_age)/age_sigma 380 13.2947309916 reducing max timestep prior to age target 380 8.6415751445611000D+07 (age_target - star_age)/age_sigma 381 13.0348623159 reducing max timestep prior to age target 381 8.4726605053597450D+07 (age_target - star_age)/age_sigma 382 12.7801910138 reducing max timestep prior to age target 382 8.3071241589424133D+07 (age_target - star_age)/age_sigma 383 12.5306131376 reducing max timestep prior to age target 383 8.1448985394534111D+07 (age_target - star_age)/age_sigma 384 12.2860268190 reducing max timestep prior to age target 384 7.9859174323542595D+07 (age_target - star_age)/age_sigma 385 12.0463322268 reducing max timestep prior to age target 385 7.8301159473970413D+07 (age_target - star_age)/age_sigma 386 11.8114315264 reducing max timestep prior to age target 386 7.6774304921389580D+07 (age_target - star_age)/age_sigma 387 11.5812288400 reducing max timestep prior to age target 387 7.5277987459859848D+07 (age_target - star_age)/age_sigma 388 11.3556302073 reducing max timestep prior to age target 388 7.3811596347561836D+07 (age_target - star_age)/age_sigma 389 11.1345435473 reducing max timestep prior to age target 389 7.2374533057509422D+07 390 7.179500 5617.359 -0.048266 -0.048266 1.000000 1.000000 0.393226 0.005150 0.235647 -1.528142 510 0 6.1487E+00 7.179500 -0.000514 -43.486386 -1.682075 -99.000000 0.000000 0.586718 0.008871 0.017320 0.114821 5 4.4985E+09 2.140074 -0.048206 -15.477469 -99.000000 -6.884796 0.000000 0.000019 0.002036 0.020056 0.000E+00 max_dt rel_E_err 1.7352990109322895D-13 log_rel_run_E_err -10.1981314871030992 (age_target - star_age)/age_sigma 390 10.9178786205 reducing max timestep prior to age target 390 7.0966211033257484D+07 (age_target - star_age)/age_sigma 391 10.7055469922 reducing max timestep prior to age target 391 6.9586055449491501D+07 (age_target - star_age)/age_sigma 392 10.4974619965 reducing max timestep prior to age target 392 6.8233502977399826D+07 (age_target - star_age)/age_sigma 393 10.2935387007 reducing max timestep prior to age target 393 6.6908001554751396D+07 (age_target - star_age)/age_sigma 394 10.0936938709 reducing max timestep prior to age target 394 6.5609010160554886D+07 (age_target - star_age)/age_sigma 395 9.8978459376 reducing max timestep prior to age target 395 6.4335998594242096D+07 (age_target - star_age)/age_sigma 396 9.7059149630 reducing max timestep prior to age target 396 6.3088447259256363D+07 (age_target - star_age)/age_sigma 397 9.5178226078 reducing max timestep prior to age target 397 6.1865846950969696D+07 (age_target - star_age)/age_sigma 398 9.3334920998 reducing max timestep prior to age target 398 6.0667698648848534D+07 (age_target - star_age)/age_sigma 399 9.1528482020 reducing max timestep prior to age target 399 5.9493513312770844D+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 7.179709 5617.605 -0.047853 -0.047853 1.000000 1.000000 0.392232 0.005153 0.235577 -1.527594 510 0 6.0610E+00 7.179709 -0.000346 -43.472723 -1.681425 -99.000000 0.000000 0.587711 0.008869 0.017315 0.114945 5 4.5112E+09 2.140918 -0.047793 -99.000000 -99.000000 -6.885077 0.000000 0.000019 0.002036 0.020057 0.000E+00 max_dt rel_E_err 1.7974686095021500D-13 log_rel_run_E_err -10.1860532189785236 (age_target - star_age)/age_sigma 400 8.9758171821 reducing max timestep prior to age target 400 5.8342811683413506D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.8023267826 reducing max timestep prior to age target 401 5.7215124086644173D+07 (age_target - star_age)/age_sigma 402 8.6323061910 reducing max timestep prior to age target 402 5.6109990241809845D+07 (age_target - star_age)/age_sigma 403 8.4656860114 reducing max timestep prior to age target 403 5.5026959073872566D+07 (age_target - star_age)/age_sigma 404 8.3023982353 reducing max timestep prior to age target 404 5.3965588529293060D+07 (age_target - star_age)/age_sigma 405 8.1423762147 reducing max timestep prior to age target 405 5.2925445395606041D+07 (age_target - star_age)/age_sigma 406 7.9855546346 reducing max timestep prior to age target 406 5.1906105124592781D+07 (age_target - star_age)/age_sigma 407 7.8318694860 reducing max timestep prior to age target 407 5.0907151658999443D+07 (age_target - star_age)/age_sigma 409 7.5306465948 reducing max timestep prior to age target 409 4.8949202866437912D+07 410 7.179880 5617.807 -0.047514 -0.047514 1.000000 1.000000 0.391416 0.005155 0.235519 -1.527144 510 0 5.9820E+00 7.179880 -0.000208 -43.461507 -1.680892 -99.000000 0.000000 0.588526 0.008867 0.017311 0.115048 3 4.5215E+09 2.141610 -0.047454 -15.653560 -99.000000 -6.885308 0.000000 0.000019 0.002036 0.020058 0.000E+00 max_dt rel_E_err 1.7522812634241160D-13 log_rel_run_E_err -10.1741465119089423 (age_target - star_age)/age_sigma 410 7.3830473782 reducing max timestep prior to age target 410 4.7989807958082199D+07 (age_target - star_age)/age_sigma 411 7.2384001458 reducing max timestep prior to age target 411 4.7049600947894096D+07 (age_target - star_age)/age_sigma 412 7.0966458581 reducing max timestep prior to age target 412 4.6128198077909470D+07 (age_target - star_age)/age_sigma 413 6.9577266562 reducing max timestep prior to age target 413 4.5225223265323639D+07 (age_target - star_age)/age_sigma 414 6.8215858383 reducing max timestep prior to age target 414 4.4340307948990822D+07 (age_target - star_age)/age_sigma 415 6.6881678368 reducing max timestep prior to age target 415 4.3473090938983917D+07 (age_target - star_age)/age_sigma 416 6.5574181953 reducing max timestep prior to age target 416 4.2623218269177437D+07 (age_target - star_age)/age_sigma 417 6.4292835466 reducing max timestep prior to age target 417 4.1790343052766800D+07 (age_target - star_age)/age_sigma 418 6.3037115909 reducing max timestep prior to age target 418 4.0974125340684891D+07 (age_target - star_age)/age_sigma 419 6.1806510743 reducing max timestep prior to age target 419 4.0174231982844353D+07 420 7.180023 5617.975 -0.047232 -0.047232 1.000000 1.000000 0.390738 0.005157 0.235472 -1.526769 510 0 5.8943E+00 7.180023 -0.000093 -43.452186 -1.680448 -99.000000 0.000000 0.589203 0.008866 0.017308 0.115133 3 4.5301E+09 2.142187 -0.047172 -15.653560 -99.000000 -6.885499 0.000000 0.000019 0.002036 0.020059 0.000E+00 max_dt rel_E_err 1.8552779353157253D-13 log_rel_run_E_err -10.1627027633472284 (age_target - star_age)/age_sigma 420 6.0600517680 reducing max timestep prior to age target 420 3.9390336492160797D+07 (age_target - star_age)/age_sigma 421 5.9418644479 reducing max timestep prior to age target 421 3.8622118911290169D+07 (age_target - star_age)/age_sigma 422 5.8260408742 reducing max timestep prior to age target 422 3.7869265682037354D+07 (age_target - star_age)/age_sigma 423 5.7125337719 reducing max timestep prior to age target 423 3.7131469517370224D+07 (age_target - star_age)/age_sigma 424 5.6012968117 reducing max timestep prior to age target 424 3.6408429275995255D+07 (age_target - star_age)/age_sigma 425 5.4922845907 reducing max timestep prior to age target 425 3.5699849839448929D+07 (age_target - star_age)/age_sigma 426 5.3854526141 reducing max timestep prior to age target 426 3.5005441991632462D+07 (age_target - star_age)/age_sigma 427 5.2807572770 reducing max timestep prior to age target 427 3.4324922300773621D+07 (age_target - star_age)/age_sigma 428 5.1781558467 reducing max timestep prior to age target 428 3.3658013003730774D+07 (age_target - star_age)/age_sigma 429 5.0776064450 reducing max timestep prior to age target 429 3.3004441892628670D+07 430 7.180140 5618.112 -0.047001 -0.047001 1.000000 1.000000 0.390183 0.005158 0.235433 -1.526462 510 0 5.8110E+00 7.180140 0.000002 -43.444556 -1.680084 -99.000000 0.000000 0.589757 0.008865 0.017306 0.115203 3 4.5371E+09 2.142659 -0.046942 -15.954590 -99.000000 -6.885656 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt rel_E_err 1.8208578171510057D-13 log_rel_run_E_err -10.1514631619583042 (age_target - star_age)/age_sigma 430 4.9780455343 remaining steps and years until age target 430 50 3.2357295973166466D+07 (age_target - star_age)/age_sigma 431 4.8784846236 remaining steps and years until age target 431 49 3.1710150053703308D+07 (age_target - star_age)/age_sigma 432 4.7789237130 reducing max timestep prior to age target 432 3.1063004134239197D+07 (age_target - star_age)/age_sigma 433 4.6793628023 remaining steps and years until age target 433 47 3.0415858214776039D+07 (age_target - star_age)/age_sigma 434 4.5798018916 remaining steps and years until age target 434 46 2.9768712295312881D+07 (age_target - star_age)/age_sigma 435 4.4802409809 remaining steps and years until age target 435 45 2.9121566375849724D+07 (age_target - star_age)/age_sigma 436 4.3806800702 remaining steps and years until age target 436 44 2.8474420456387520D+07 (age_target - star_age)/age_sigma 437 4.2811191595 reducing max timestep prior to age target 437 2.7827274536923409D+07 (age_target - star_age)/age_sigma 438 4.1815582488 remaining steps and years until age target 438 42 2.7180128617460251D+07 (age_target - star_age)/age_sigma 439 4.0819973382 reducing max timestep prior to age target 439 2.6532982697996140D+07 440 7.180247 5618.238 -0.046789 -0.046789 1.000000 1.000000 0.389673 0.005160 0.235397 -1.526180 510 0 5.8110E+00 7.180247 0.000088 -43.437532 -1.679749 -99.000000 0.000000 0.590267 0.008864 0.017303 0.115267 3 4.5436E+09 2.143093 -0.046729 -99.000000 -99.000000 -6.885800 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt rel_E_err 1.8165054237272383D-13 log_rel_run_E_err -10.1405865706105001 (age_target - star_age)/age_sigma 440 3.9824364275 remaining steps and years until age target 440 40 2.5885836778532982D+07 (age_target - star_age)/age_sigma 441 3.8828755168 remaining steps and years until age target 441 39 2.5238690859069824D+07 (age_target - star_age)/age_sigma 442 3.7833146061 remaining steps and years until age target 442 38 2.4591544939606667D+07 (age_target - star_age)/age_sigma 443 3.6837536954 remaining steps and years until age target 443 37 2.3944399020143509D+07 (age_target - star_age)/age_sigma 444 3.5841927847 remaining steps and years until age target 444 36 2.3297253100680351D+07 (age_target - star_age)/age_sigma 445 3.4846318740 reducing max timestep prior to age target 445 2.2650107181216240D+07 (age_target - star_age)/age_sigma 446 3.3850709633 remaining steps and years until age target 446 34 2.2002961261753082D+07 (age_target - star_age)/age_sigma 447 3.2855100527 remaining steps and years until age target 447 33 2.1355815342289925D+07 (age_target - star_age)/age_sigma 448 3.1859491420 remaining steps and years until age target 448 32 2.0708669422826767D+07 (age_target - star_age)/age_sigma 449 3.0863882313 reducing max timestep prior to age target 449 2.0061523503362656D+07 450 7.180355 5618.365 -0.046577 -0.046577 1.000000 1.000000 0.389162 0.005161 0.235361 -1.525897 510 0 5.8110E+00 7.180355 0.000175 -43.430504 -1.679413 -99.000000 0.000000 0.590777 0.008863 0.017301 0.115331 3 4.5501E+09 2.143528 -0.046517 -99.000000 -99.000000 -6.885944 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt rel_E_err 1.7692113258707179D-13 log_rel_run_E_err -10.1297852479979937 (age_target - star_age)/age_sigma 450 2.9868273206 remaining steps and years until age target 450 30 1.9414377583899498D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8872664099 remaining steps and years until age target 451 29 1.8767231664437294D+07 (age_target - star_age)/age_sigma 452 2.7877054992 reducing max timestep prior to age target 452 1.8120085744973183D+07 (age_target - star_age)/age_sigma 453 2.6881445885 remaining steps and years until age target 453 27 1.7472939825510025D+07 (age_target - star_age)/age_sigma 454 2.5885836779 remaining steps and years until age target 454 26 1.6825793906046867D+07 (age_target - star_age)/age_sigma 455 2.4890227672 reducing max timestep prior to age target 455 1.6178647986582756D+07 (age_target - star_age)/age_sigma 456 2.3894618565 remaining steps and years until age target 456 24 1.5531502067119598D+07 (age_target - star_age)/age_sigma 457 2.2899009458 remaining steps and years until age target 457 23 1.4884356147656441D+07 (age_target - star_age)/age_sigma 458 2.1903400351 remaining steps and years until age target 458 22 1.4237210228194237D+07 (age_target - star_age)/age_sigma 459 2.0907791244 reducing max timestep prior to age target 459 1.3590064308730125D+07 460 7.180463 5618.491 -0.046364 -0.046364 1.000000 1.000000 0.388651 0.005163 0.235325 -1.525614 510 0 5.8110E+00 7.180463 0.000261 -43.423471 -1.679077 -99.000000 0.000000 0.591288 0.008861 0.017299 0.115396 3 4.5566E+09 2.143963 -0.046305 -15.653560 -99.000000 -6.886087 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt rel_E_err 1.8614774112398818D-13 log_rel_run_E_err -10.1191816819030969 (age_target - star_age)/age_sigma 460 1.9912182137 remaining steps and years until age target 460 20 1.2942918389266968D+07 (age_target - star_age)/age_sigma 461 1.8916573030 reducing max timestep prior to age target 461 1.2295772469802856D+07 (age_target - star_age)/age_sigma 462 1.7920963924 remaining steps and years until age target 462 18 1.1648626550339699D+07 (age_target - star_age)/age_sigma 463 1.6925354817 remaining steps and years until age target 463 17 1.1001480630876541D+07 (age_target - star_age)/age_sigma 464 1.5929745710 remaining steps and years until age target 464 16 1.0354334711413383D+07 (age_target - star_age)/age_sigma 465 1.4934136603 remaining steps and years until age target 465 15 9.7071887919502258D+06 (age_target - star_age)/age_sigma 466 1.3938527496 remaining steps and years until age target 466 14 9.0600428724870682D+06 (age_target - star_age)/age_sigma 467 1.2942918389 reducing max timestep prior to age target 467 8.4128969530229568D+06 (age_target - star_age)/age_sigma 468 1.1947309282 remaining steps and years until age target 468 12 7.7657510335597992D+06 (age_target - star_age)/age_sigma 469 1.0951700176 remaining steps and years until age target 469 11 7.1186051140966415D+06 470 7.180571 5618.617 -0.046151 -0.046151 1.000000 1.000000 0.388140 0.005164 0.235290 -1.525331 510 0 5.8110E+00 7.180571 0.000348 -43.416435 -1.678741 -99.000000 0.000000 0.591798 0.008860 0.017296 0.115460 3 4.5630E+09 2.144398 -0.046092 -99.000000 -99.000000 -6.886231 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.8871817691634583D-13 log_rel_run_E_err -10.1090339927403008 (age_target - star_age)/age_sigma 470 0.9956091069 remaining steps and years until age target 470 10 6.4714591946334839D+06 (age_target - star_age)/age_sigma 471 0.8960481962 reducing max timestep prior to age target 471 5.8243132751693726D+06 (age_target - star_age)/age_sigma 472 0.7964872855 remaining steps and years until age target 472 8 5.1771673557062149D+06 (age_target - star_age)/age_sigma 473 0.6969263748 remaining steps and years until age target 473 7 4.5300214362440109D+06 (age_target - star_age)/age_sigma 474 0.5973654641 reducing max timestep prior to age target 474 3.8828755167798996D+06 (age_target - star_age)/age_sigma 475 0.4978045534 remaining steps and years until age target 475 5 3.2357295973167419D+06 (age_target - star_age)/age_sigma 476 0.3982436427 remaining steps and years until age target 476 4 2.5885836778535843D+06 (age_target - star_age)/age_sigma 477 0.2986827321 reducing max timestep prior to age target 477 1.9414377583894730D+06 (age_target - star_age)/age_sigma 478 0.1991218214 remaining steps and years until age target 478 2 1.2942918389263153D+06 (age_target - star_age)/age_sigma 479 0.0995609107 model saved to final.mod save photos/x479 for model 479 480 7.180678 5618.744 -0.045939 -0.045939 1.000000 1.000000 0.387629 0.005165 0.235254 -1.525048 510 0 5.8110E+00 7.180678 0.000435 -43.409394 -1.678404 -99.000000 0.000000 0.592308 0.008859 0.017294 0.115525 3 4.5695E+09 2.144834 -0.045879 -99.000000 -99.000000 -6.886375 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.7862176596943188D-13 log_rel_run_E_err -10.0990401450648974 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 varcontrol dt limit 203 max increase dt limit 2671 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 4.72 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 5618.744 -0.045939 -0.045939 1.000000 1.000000 0.387629 0.005165 0.235254 -1.525048 510 0 5.8110E+00 7.180678 0.000435 -43.409394 -1.678404 -99.000000 0.000000 0.592308 0.008859 0.017294 0.115525 3 4.5695E+09 2.144834 -0.045879 -99.000000 -99.000000 -6.886375 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt rel_E_err 1.7862176596943188D-13 log_rel_run_E_err -10.0990401450648974 Teff 5618.7435746587 radius 1.0010021153 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1.0042350216 M_H 0.0039075140 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 15.2686652979 log_R 0.0004349952 delta_nu 141.3131180438 nu_max 3113.4520391366 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 333338.7576334398 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 "08c12e86" "gfortran" "13.3.0" "x86_64-linux-25.12.1" "CRMATH" "20260107" "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 3.3333875763343979E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187435746586971E+03 1.0010021152735951E+00 3.9075139536362746E-03 4.3499521226511708E-04 1.4131311804383409E+02 3.1134520391366050E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875763343979E+05 0 0 0 0 0 0 0 4 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 1 3.3351280955150846E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799356269539430E+03 1.0231387428323298E+00 -1.7398950154099558E-03 9.9345302525710756E-03 1.3680797539651249E+02 2.9640874280697080E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351280955150846E+05 0 0 0 0 0 0 0 3 3.3365601948940614E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355922679182013E+03 1.0099931800936883E+00 2.9465145847822460E-02 4.3184412502880526E-03 1.3947655830944021E+02 3.0536911602776722E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365601948940614E+05 0 0 0 0 0 0 0 2 3.3467762476560613E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7648132271902086E+03 1.0621856308706739E+00 -1.2877173992562437E-02 2.6200422035306429E-02 1.2940090818201503E+02 2.7298470328750154E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3467762476560613E+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 10 5.954452 4733.609 -12.856101 -12.856101 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 408 0 -5.0000E+00 5.954444 0.953935 -99.000000 -14.253967 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0000E-04 -1.867445 1.563333 -99.000000 -99.000000 -7.764077 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954453 4595.940 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954445 0.953760 -99.000000 -14.253976 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 2.0000E-04 -1.867443 1.511710 -99.000000 -99.000000 -7.736293 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954453 4530.427 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 401 0 -5.0000E+00 5.954446 0.953652 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 3.0000E-04 -1.867443 1.486555 -99.000000 -99.000000 -7.718439 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954454 4490.712 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 402 0 -5.0000E+00 5.954446 0.953577 -99.000000 -14.253983 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 2 4.0000E-04 -1.867442 1.471108 -99.000000 -99.000000 -7.706332 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954454 4464.062 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 403 0 -5.0000E+00 5.954446 0.953520 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 5.0000E-04 -1.867442 1.460655 -99.000000 -99.000000 -7.697719 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954455 4323.737 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396073 400 0 -2.2907E+00 5.954447 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071351 3 1.0230E-02 -1.867440 1.404230 -99.000000 -99.000000 -7.645804 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9562476342257225D-01 20 5.954552 4317.072 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396069 400 0 7.1957E-01 5.954545 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3 1.0486E+01 -1.867292 1.401230 -99.000000 -99.000000 -7.642835 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.8246339201115486D-01 30 6.001277 4351.246 -12.207559 -12.207559 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245110 404 0 3.4810E+00 6.001277 0.905373 -99.000000 -13.605424 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.9486E+03 -1.731750 1.319895 -99.000000 -99.000000 -7.599471 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501791382976D-08 40 6.180162 4462.647 -9.835710 -9.835710 1.000000 1.000000 0.700000 0.001010 0.279976 -5.625094 416 0 4.0475E+00 6.180162 0.720230 -99.000000 -11.233569 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3 7.7297E+04 -1.194696 0.993525 -99.000000 -99.000000 -7.420612 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128501791382976D-08 50 6.357874 4518.645 -7.720824 -7.720824 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009229 434 0 4.5599E+00 6.357874 0.538106 -99.000000 -9.118668 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3 3.0284E+05 -0.661323 0.650938 -99.000000 -99.000000 -7.222183 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501569338371D-08 60 6.531927 4517.956 -5.852617 -5.852617 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405381 447 0 5.0799E+00 6.531927 0.360878 -99.000000 -7.250418 -99.000000 0.000000 0.280000 0.009381 0.019671 0.071139 3 1.0459E+06 -0.138879 0.296218 -99.000000 -99.000000 -6.983364 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 2.4714940988704279D-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 6.620922 4342.795 -4.908780 -4.908780 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027508 457 0 -4.2874E+00 6.620922 0.263028 -99.000000 -6.306528 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 2.5959E-04 0.154752 0.031826 -99.000000 -99.000000 -6.892785 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7143606947339848D-13 log_rel_run_E_err -11.5775420283829593 20 6.620922 4359.724 -4.908781 -4.908781 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027508 457 0 -3.4956E+00 6.620922 0.263049 -99.000000 -6.306529 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 1.8669E-03 0.154752 0.038627 -20.771070 -99.000000 -6.900001 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.3471017265441549D-13 log_rel_run_E_err -11.2810193889825019 30 6.620922 4361.451 -4.908781 -4.908781 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027508 457 0 -2.7037E+00 6.620922 0.263056 -99.000000 -6.306530 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 5 1.1819E-02 0.154753 0.039330 -99.000000 -99.000000 -6.900732 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.4570929872245672D-13 log_rel_run_E_err -11.1073108910674598 40 6.620922 4360.974 -4.908781 -4.908781 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027508 457 0 -1.9119E+00 6.620922 0.263055 -99.000000 -6.306530 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 4 7.3439E-02 0.154753 0.039138 -20.771070 -99.000000 -6.900532 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.5764055209160405D-13 log_rel_run_E_err -10.9808639699868316 50 6.620922 4359.660 -4.908781 -4.908781 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027508 457 0 -1.1201E+00 6.620922 0.263045 -99.000000 -6.306529 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 5 4.5497E-01 0.154753 0.038595 -99.000000 -99.000000 -6.899970 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6341973880491574D-13 log_rel_run_E_err -10.8818595027402747 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.620922 4359.639 -4.908780 -4.908780 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027507 457 0 -3.2831E-01 6.620922 0.263045 -99.000000 -6.306528 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 2.8173E+00 0.154753 0.038585 -20.169010 -99.000000 -6.899961 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.8075724308775774D-13 log_rel_run_E_err -10.8016618698171651 70 6.620923 4359.623 -4.908772 -4.908772 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027503 457 0 4.6351E-01 6.620923 0.263043 -99.000000 -6.306520 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10 1.7444E+01 0.154756 0.038575 -20.169010 -99.000000 -6.899951 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.4775932815435983D-13 log_rel_run_E_err -10.7350766220084157 80 6.620927 4359.576 -4.908720 -4.908720 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027477 457 0 1.2553E+00 6.620927 0.263032 -99.000000 -6.306468 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071839 10 1.0801E+02 0.154772 0.038535 -99.000000 -99.000000 -6.899919 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 3.6203311205004864D-13 log_rel_run_E_err -10.6757120568634338 90 6.620956 4359.541 -4.908377 -4.908377 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027315 457 0 2.0471E+00 6.620956 0.262996 -99.000000 -6.306126 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071840 2 6.6878E+02 0.154887 0.038450 -20.771070 -99.000000 -6.899862 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7886482032126177D-13 log_rel_run_E_err -10.5808735234465807 __________________________________________________________________________________________________________________________________________________ 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 6.621142 4359.321 -4.906268 -4.906268 1.000000 1.000000 0.712376 0.000890 0.270000 -4.026318 457 0 2.8389E+00 6.621142 0.262775 -99.000000 -6.304017 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071848 2 4.1409E+03 0.155596 0.037919 -99.000000 -99.000000 -6.899505 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7648247900744785D-13 log_rel_run_E_err -10.5386395765132050 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.622285 4357.965 -4.893305 -4.893305 1.000000 1.000000 0.712376 0.000890 0.270000 -4.020165 457 0 3.6308E+00 6.622285 0.261413 -99.000000 -6.291053 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071900 2 2.5639E+04 0.159967 0.034654 -99.000000 -99.000000 -6.897309 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.7373242181853131D-13 log_rel_run_E_err -10.5022373284346511 120 6.629026 4349.765 -4.816485 -4.816485 1.000000 1.000000 0.712376 0.000890 0.270000 -3.982970 457 0 4.4226E+00 6.629026 0.253316 -99.000000 -6.214227 -99.000000 0.000000 0.270000 0.008266 0.017624 0.072229 3 1.5875E+05 0.186133 0.015190 -99.000000 -99.000000 -6.884151 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.8181242021350719D-13 log_rel_run_E_err -10.4658484715204132 130 6.661460 4306.655 -4.438790 -4.438790 1.000000 1.000000 0.712375 0.000890 0.270000 -3.779276 457 0 5.2144E+00 6.661460 0.213061 -99.000000 -5.836495 -99.000000 0.000000 0.270000 0.008266 0.017624 0.074435 4 9.8295E+05 0.322637 -0.082624 -99.000000 -99.000000 -6.816495 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase rel_E_err 2.6855165220606484D-13 log_rel_run_E_err -10.4163155072773463 140 6.750820 4249.554 -3.406082 -3.406082 1.000000 1.000000 0.712372 0.000890 0.269999 -3.057498 468 0 5.8449E+00 6.750820 0.109017 -99.000000 -4.803576 -99.000000 0.000000 0.270003 0.008266 0.017624 0.085194 4 5.4465E+06 0.766611 -0.313899 -18.788798 -99.000000 -6.661945 0.000000 0.003037 0.001837 0.017624 0.000E+00 varcontrol rel_E_err 2.4811554934958346D-13 log_rel_run_E_err -10.3711029434508859 150 6.873216 4600.922 -2.208050 -2.208050 1.000000 1.000000 0.712358 0.000890 0.269993 -2.184556 476 0 6.0156E+00 6.873216 0.038527 -99.000000 -3.604795 -99.000000 0.000000 0.270017 0.008267 0.017624 0.098287 4 1.4525E+07 1.320045 -0.316874 -99.000000 -99.000000 -6.717351 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr rel_E_err 2.0492594627665509D-13 log_rel_run_E_err -10.1523869672583835 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.054290 5456.458 -0.758045 -0.758045 1.000000 1.000000 0.712182 0.000911 0.269971 -1.539184 491 0 6.1596E+00 7.054290 0.018733 -51.334572 -2.208781 -99.000000 0.000000 0.270189 0.008267 0.017623 0.097943 5 2.5807E+07 1.858518 -0.060196 -99.000000 -99.000000 -6.848680 0.000000 0.003020 0.001838 0.017629 0.000E+00 lgRho_cntr rel_E_err 1.7959658768755047D-13 log_rel_run_E_err -10.3040321876080831 (age_target - star_age)/age_sigma 169 694.0640363191 reducing max timestep prior to age target 169 4.5114162360742340D+09 170 7.132940 5610.935 -0.141348 -0.141348 1.000000 1.000000 0.709965 0.003185 0.269703 -1.711923 512 0 6.9035E+00 7.132940 -0.045426 -47.093813 -1.746372 -99.000000 0.000000 0.272077 0.008269 0.017607 0.084984 5 6.6091E+07 1.906915 -0.140018 -99.000000 -99.000000 -6.811669 0.000000 0.001072 0.001838 0.017958 0.000E+00 max increase rel_E_err 1.8943268195236458D-13 log_rel_run_E_err -10.3417998189433007 (age_target - star_age)/age_sigma 176 678.1534630928 reducing max timestep prior to age target 176 4.4079975101030750D+09 (age_target - star_age)/age_sigma 179 662.0865988434 reducing max timestep prior to age target 179 4.3035628924822283D+09 180 7.134071 5629.405 -0.124053 -0.124053 1.000000 1.000000 0.692593 0.004431 0.267951 -1.666986 502 0 7.6953E+00 7.134071 -0.040271 -46.915458 -1.781042 -99.000000 0.000000 0.289241 0.008280 0.017505 0.087259 10 3.1551E+08 1.931412 -0.123998 -99.000000 -99.000000 -6.822947 0.000000 0.000013 0.001841 0.018166 0.000E+00 max increase rel_E_err 1.8649296531389847D-13 log_rel_run_E_err -10.3261562911810927 (age_target - star_age)/age_sigma 181 645.3064364450 reducing max timestep prior to age target 181 4.1944918368922806D+09 (age_target - star_age)/age_sigma 182 634.3230574205 reducing max timestep prior to age target 182 4.1230998732334056D+09 (age_target - star_age)/age_sigma 183 622.0041135628 reducing max timestep prior to age target 183 4.0430267381584258D+09 (age_target - star_age)/age_sigma 184 609.9315485823 reducing max timestep prior to age target 184 3.9645550657849460D+09 (age_target - star_age)/age_sigma 185 598.1004349014 reducing max timestep prior to age target 185 3.8876528268589358D+09 (age_target - star_age)/age_sigma 186 586.5059434941 reducing max timestep prior to age target 186 3.8122886327114453D+09 (age_target - star_age)/age_sigma 187 575.1433419149 reducing max timestep prior to age target 187 3.7384317224469051D+09 (age_target - star_age)/age_sigma 188 564.0079923673 reducing max timestep prior to age target 188 3.6660519503876557D+09 (age_target - star_age)/age_sigma 189 553.0953498107 reducing max timestep prior to age target 189 3.5951197737695909D+09 190 7.142770 5647.729 -0.101528 -0.101528 1.000000 1.000000 0.635390 0.004473 0.262921 -1.645324 509 0 7.8421E+00 7.142770 -0.031822 -46.208022 -1.764007 -99.000000 0.000000 0.346347 0.008307 0.017209 0.091015 10 1.0439E+09 1.968152 -0.101455 -99.000000 -99.000000 -6.839020 0.000000 0.000014 0.001851 0.018263 0.000E+00 max_dt rel_E_err 1.9789564291813641D-13 log_rel_run_E_err -10.3100698091856966 (age_target - star_age)/age_sigma 190 542.4009601052 reducing max timestep prior to age target 190 3.5256062406838875D+09 (age_target - star_age)/age_sigma 191 531.9204581938 reducing max timestep prior to age target 191 3.4574829782598987D+09 (age_target - star_age)/age_sigma 192 521.6495663207 reducing max timestep prior to age target 192 3.3907221810843892D+09 (age_target - star_age)/age_sigma 193 511.5840922850 reducing max timestep prior to age target 193 3.3252965998523903D+09 (age_target - star_age)/age_sigma 194 501.7199277300 reducing max timestep prior to age target 194 3.2611795302450309D+09 (age_target - star_age)/age_sigma 195 492.0530464661 reducing max timestep prior to age target 195 3.1983448020298185D+09 (age_target - star_age)/age_sigma 196 482.5795028275 reducing max timestep prior to age target 196 3.1367667683789110D+09 (age_target - star_age)/age_sigma 197 473.2954300617 reducing max timestep prior to age target 197 3.0764202954010215D+09 (age_target - star_age)/age_sigma 199 455.0986474407 reducing max timestep prior to age target 199 2.9581412083643575D+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 7.150965 5662.562 -0.082404 -0.082404 1.000000 1.000000 0.585241 0.004516 0.258667 -1.625950 509 0 7.7631E+00 7.150965 -0.024537 -45.584192 -1.741947 -99.000000 0.000000 0.396416 0.008318 0.016960 0.094650 10 1.6693E+09 2.001802 -0.082329 -99.000000 -99.000000 -6.853079 0.000000 0.000014 0.001859 0.018343 0.000E+00 max_dt rel_E_err 1.9269669325187784D-13 log_rel_run_E_err -10.2945914040826594 (age_target - star_age)/age_sigma 200 446.1822239564 reducing max timestep prior to age target 200 2.9001844557163925D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 437.4441289418 reducing max timestep prior to age target 201 2.8433868381213865D+09 (age_target - star_age)/age_sigma 202 428.8807958274 reducing max timestep prior to age target 202 2.7877251728782806D+09 (age_target - star_age)/age_sigma 203 420.4887293754 reducing max timestep prior to age target 203 2.7331767409400368D+09 (age_target - star_age)/age_sigma 204 412.2645042524 reducing max timestep prior to age target 204 2.6797192776405582D+09 (age_target - star_age)/age_sigma 205 404.2047636319 reducing max timestep prior to age target 205 2.6273309636070690D+09 (age_target - star_age)/age_sigma 206 396.3062178237 reducing max timestep prior to age target 206 2.5759904158542495D+09 (age_target - star_age)/age_sigma 207 388.5656429318 reducing max timestep prior to age target 207 2.5256766790564861D+09 (age_target - star_age)/age_sigma 208 380.9798795376 reducing max timestep prior to age target 208 2.4763692169946785D+09 (age_target - star_age)/age_sigma 209 373.5458314114 reducing max timestep prior to age target 209 2.4280479041741071D+09 210 7.158246 5674.415 -0.066057 -0.066057 1.000000 1.000000 0.542904 0.004561 0.255197 -1.608538 508 0 7.6754E+00 7.158246 -0.018181 -45.052268 -1.721260 -99.000000 0.000000 0.438691 0.008316 0.016756 0.098040 10 2.1888E+09 2.031502 -0.065983 -99.000000 -99.000000 -6.865239 0.000000 0.000015 0.001865 0.018406 0.000E+00 max_dt rel_E_err 1.8248460996348706D-13 log_rel_run_E_err -10.2801013353560773 (age_target - star_age)/age_sigma 210 366.2604642477 reducing max timestep prior to age target 210 2.3806930176099467D+09 (age_target - star_age)/age_sigma 211 359.1208044272 reducing max timestep prior to age target 211 2.3342852287770696D+09 (age_target - star_age)/age_sigma 212 352.1239378032 reducing max timestep prior to age target 212 2.2888055957208505D+09 (age_target - star_age)/age_sigma 213 345.2670085117 reducing max timestep prior to age target 213 2.2442355553257551D+09 (age_target - star_age)/age_sigma 214 338.5472178059 reducing max timestep prior to age target 214 2.2005569157385621D+09 (age_target - star_age)/age_sigma 215 331.9618229143 reducing max timestep prior to age target 215 2.1577518489431129D+09 (age_target - star_age)/age_sigma 216 325.5081359205 reducing max timestep prior to age target 216 2.1158028834835730D+09 (age_target - star_age)/age_sigma 217 319.1835226666 reducing max timestep prior to age target 217 2.0746928973332233D+09 (age_target - star_age)/age_sigma 218 312.9854016778 reducing max timestep prior to age target 218 2.0344051109058809D+09 (age_target - star_age)/age_sigma 219 306.9112431088 reducing max timestep prior to age target 219 1.9949230802070851D+09 220 7.164549 5683.784 -0.052301 -0.052301 1.000000 1.000000 0.507794 0.004606 0.252277 -1.593304 510 0 7.5876E+00 7.164549 -0.012737 -44.605868 -1.702821 -99.000000 0.000000 0.473751 0.008303 0.016584 0.101110 10 2.6133E+09 2.057096 -0.052229 -15.477469 -99.000000 -6.875528 0.000000 0.000016 0.001871 0.018455 0.000E+00 max_dt rel_E_err 1.9250418929282326D-13 log_rel_run_E_err -10.2658674303140671 (age_target - star_age)/age_sigma 220 300.9585677111 reducing max timestep prior to age target 220 1.9562306901222653D+09 (age_target - star_age)/age_sigma 221 295.1249458214 reducing max timestep prior to age target 221 1.9183121478391423D+09 (age_target - star_age)/age_sigma 222 289.4079963695 reducing max timestep prior to age target 222 1.8811519764016814D+09 (age_target - star_age)/age_sigma 223 283.8053859066 reducing max timestep prior to age target 223 1.8447350083929696D+09 (age_target - star_age)/age_sigma 224 278.3148276530 reducing max timestep prior to age target 224 1.8090463797444324D+09 (age_target - star_age)/age_sigma 225 272.9340805644 reducing max timestep prior to age target 225 1.7740715236688657D+09 (age_target - star_age)/age_sigma 226 267.6609484177 reducing max timestep prior to age target 226 1.7397961647148104D+09 (age_target - star_age)/age_sigma 227 262.4932789138 reducing max timestep prior to age target 227 1.7062063129398360D+09 (age_target - star_age)/age_sigma 228 257.4289628001 reducing max timestep prior to age target 228 1.6732882582003617D+09 (age_target - star_age)/age_sigma 229 252.4659330086 reducing max timestep prior to age target 229 1.6410285645556765D+09 230 7.169958 5691.166 -0.040784 -0.040784 1.000000 1.000000 0.478717 0.004652 0.249919 -1.580132 511 0 7.4999E+00 7.169958 -0.008107 -44.231586 -1.686664 -99.000000 0.000000 0.502791 0.008282 0.016444 0.103854 10 2.9601E+09 2.078980 -0.040715 -99.000000 -99.000000 -6.884137 0.000000 0.000016 0.001875 0.018492 0.000E+00 max_dt rel_E_err 1.8380218818614307D-13 log_rel_run_E_err -10.2524998846801871 (age_target - star_age)/age_sigma 230 247.6021638129 reducing max timestep prior to age target 230 1.6094140647838845D+09 (age_target - star_age)/age_sigma 231 242.8356700012 reducing max timestep prior to age target 231 1.5784318550075293D+09 (age_target - star_age)/age_sigma 232 238.1645060656 reducing max timestep prior to age target 232 1.5480692894267006D+09 (age_target - star_age)/age_sigma 234 229.0090247520 reducing max timestep prior to age target 234 1.4885586608882771D+09 (age_target - star_age)/age_sigma 235 224.5228389084 reducing max timestep prior to age target 235 1.4593984529044490D+09 (age_target - star_age)/age_sigma 236 220.1263767816 reducing max timestep prior to age target 236 1.4308214490802975D+09 (age_target - star_age)/age_sigma 237 215.8178438973 reducing max timestep prior to age target 237 1.4028159853326297D+09 (age_target - star_age)/age_sigma 238 211.5954816708 reducing max timestep prior to age target 238 1.3753706308599148D+09 (age_target - star_age)/age_sigma 239 207.4575666887 reducing max timestep prior to age target 239 1.3484741834766541D+09 240 7.174621 5697.069 -0.031042 -0.031042 1.000000 1.000000 0.454335 0.004697 0.247946 -1.568704 511 0 7.4209E+00 7.174621 -0.004137 -43.914348 -1.672465 -99.000000 0.000000 0.527144 0.008255 0.016326 0.106309 10 3.2474E+09 2.097792 -0.030975 -15.954590 -99.000000 -6.891412 0.000000 0.000017 0.001879 0.018521 0.000E+00 max_dt rel_E_err 1.8903456455697282D-13 log_rel_run_E_err -10.2388295431926331 (age_target - star_age)/age_sigma 240 203.4024100063 reducing max timestep prior to age target 240 1.3221156650410590D+09 (age_target - star_age)/age_sigma 241 199.4283564576 reducing max timestep prior to age target 241 1.2962843169741755D+09 (age_target - star_age)/age_sigma 242 195.5337839798 reducing max timestep prior to age target 242 1.2709695958686299D+09 (age_target - star_age)/age_sigma 243 191.7171029516 reducing max timestep prior to age target 243 1.2461611691851950D+09 (age_target - star_age)/age_sigma 244 187.9767555439 reducing max timestep prior to age target 244 1.2218489110354290D+09 (age_target - star_age)/age_sigma 245 184.3112150844 reducing max timestep prior to age target 245 1.1980228980486584D+09 (age_target - star_age)/age_sigma 246 180.7189854341 reducing max timestep prior to age target 246 1.1746734053216228D+09 (age_target - star_age)/age_sigma 247 177.1986003768 reducing max timestep prior to age target 247 1.1517909024491282D+09 (age_target - star_age)/age_sigma 248 173.7486230206 reducing max timestep prior to age target 248 1.1293660496340833D+09 (age_target - star_age)/age_sigma 249 170.3676452116 reducing max timestep prior to age target 249 1.1073896938753390D+09 250 7.178588 5701.728 -0.022896 -0.022896 1.000000 1.000000 0.434066 0.004741 0.246370 -1.558920 511 0 7.3332E+00 7.178588 -0.000776 -43.648199 -1.660197 -99.000000 0.000000 0.547390 0.008224 0.016231 0.108469 10 3.4836E+09 2.113771 -0.022831 -15.653560 -99.000000 -6.897471 0.000000 0.000017 0.001882 0.018544 0.000E+00 max_dt rel_E_err 1.9579835192434832D-13 log_rel_run_E_err -10.2258971221522241 (age_target - star_age)/age_sigma 250 167.0542869587 reducing max timestep prior to age target 250 1.0858528652317700D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 163.8071958709 reducing max timestep prior to age target 251 1.0647467731610727D+09 (age_target - star_age)/age_sigma 252 160.6250466049 reducing max timestep prior to age target 252 1.0440628029317889D+09 (age_target - star_age)/age_sigma 253 157.5065403242 reducing max timestep prior to age target 253 1.0237925121070910D+09 (age_target - star_age)/age_sigma 254 154.4504041691 reducing max timestep prior to age target 254 1.0039276270988870D+09 (age_target - star_age)/age_sigma 255 151.4553907371 reducing max timestep prior to age target 255 9.8446003979084682D+08 (age_target - star_age)/age_sigma 256 148.5202775737 reducing max timestep prior to age target 256 9.6538180422896814D+08 (age_target - star_age)/age_sigma 257 145.6438666736 reducing max timestep prior to age target 257 9.4668513337832642D+08 (age_target - star_age)/age_sigma 258 142.8249839915 reducing max timestep prior to age target 258 9.2836239594469738D+08 (age_target - star_age)/age_sigma 259 140.0624789630 reducing max timestep prior to age target 259 9.1040611325974131D+08 260 7.181928 5705.441 -0.016133 -0.016133 1.000000 1.000000 0.417347 0.004782 0.245111 -1.550655 517 0 7.2454E+00 7.181928 0.002040 -43.426752 -1.649732 -99.000000 0.000000 0.564092 0.008193 0.016155 0.110338 10 3.6767E+09 2.127198 -0.016070 -15.954590 -99.000000 -6.902492 0.000000 0.000018 0.001884 0.018561 0.000E+00 max_dt rel_E_err 1.9834809448560011D-13 log_rel_run_E_err -10.2129529531493031 (age_target - star_age)/age_sigma 260 137.3552240352 reducing max timestep prior to age target 260 8.9280895622848415D+08 (age_target - star_age)/age_sigma 261 134.7021142058 reducing max timestep prior to age target 261 8.7556374233785248D+08 (age_target - star_age)/age_sigma 262 132.1020665731 reducing max timestep prior to age target 262 8.5866343272503328D+08 (age_target - star_age)/age_sigma 263 129.5540198930 reducing max timestep prior to age target 263 8.4210112930447054D+08 (age_target - star_age)/age_sigma 264 127.0569341465 reducing max timestep prior to age target 264 8.2587007195231867D+08 (age_target - star_age)/age_sigma 265 124.6097901150 reducing max timestep prior to age target 265 8.0996363574721003D+08 (age_target - star_age)/age_sigma 266 122.2115889640 reducing max timestep prior to age target 266 7.9437532826620388D+08 (age_target - star_age)/age_sigma 267 119.8613518361 reducing max timestep prior to age target 267 7.7909878693481731D+08 (age_target - star_age)/age_sigma 269 115.2548870654 reducing max timestep prior to age target 269 7.4915676592529964D+08 270 7.184736 5708.378 -0.010531 -0.010531 1.000000 1.000000 0.403521 0.004821 0.244019 -1.543680 517 0 7.1665E+00 7.184736 0.004393 -43.242334 -1.640855 -99.000000 0.000000 0.577905 0.008161 0.016090 0.111949 10 3.8350E+09 2.138474 -0.010470 -15.653560 -99.000000 -6.906652 0.000000 0.000018 0.001886 0.018574 0.000E+00 max_dt rel_E_err 1.9308452839156363D-13 log_rel_run_E_err -10.2001567126393660 (age_target - star_age)/age_sigma 270 112.9977193278 reducing max timestep prior to age target 270 7.3448517563063669D+08 (age_target - star_age)/age_sigma 271 110.7856949449 reducing max timestep prior to age target 271 7.2010701714186621D+08 (age_target - star_age)/age_sigma 272 108.6179110497 reducing max timestep prior to age target 272 7.0601642182287169D+08 (age_target - star_age)/age_sigma 273 106.4934828323 reducing max timestep prior to age target 273 6.9220763841025686D+08 (age_target - star_age)/age_sigma 274 104.4115431794 reducing max timestep prior to age target 274 6.7867503066589451D+08 (age_target - star_age)/age_sigma 275 102.3712423194 reducing max timestep prior to age target 275 6.6541307507641888D+08 (age_target - star_age)/age_sigma 276 100.3717474767 reducing max timestep prior to age target 276 6.5241635859873295D+08 (age_target - star_age)/age_sigma 277 98.4122425309 reducing max timestep prior to age target 277 6.3967957645060110D+08 (age_target - star_age)/age_sigma 278 96.4919276839 reducing max timestep prior to age target 278 6.2719752994543171D+08 (age_target - star_age)/age_sigma 279 94.6100191339 reducing max timestep prior to age target 279 6.1496512437036514D+08 280 7.187118 5710.738 -0.005831 -0.005831 1.000000 1.000000 0.391954 0.004856 0.243124 -1.537750 518 0 7.0787E+00 7.187118 0.006383 -43.087075 -1.633261 -99.000000 0.000000 0.589463 0.008131 0.016036 0.113343 5 3.9665E+09 2.148028 -0.005772 -15.653560 -99.000000 -6.910139 0.000000 0.000018 0.001887 0.018583 0.000E+00 max_dt rel_E_err 1.7747015958541242D-13 log_rel_run_E_err -10.1874708451287717 (age_target - star_age)/age_sigma 280 92.7657487549 reducing max timestep prior to age target 280 6.0297736690680075D+08 (age_target - star_age)/age_sigma 281 90.9583637835 reducing max timestep prior to age target 281 5.9122936459250689D+08 (age_target - star_age)/age_sigma 282 89.1871265115 reducing max timestep prior to age target 282 5.7971632232449913D+08 (age_target - star_age)/age_sigma 283 87.4513139849 reducing max timestep prior to age target 283 5.6843354090185165D+08 (age_target - star_age)/age_sigma 284 85.7502177089 reducing max timestep prior to age target 284 5.5737641510765743D+08 (age_target - star_age)/age_sigma 285 84.0831433584 reducing max timestep prior to age target 285 5.4654043182934666D+08 (age_target - star_age)/age_sigma 286 82.4494104949 reducing max timestep prior to age target 286 5.3592116821660233D+08 (age_target - star_age)/age_sigma 287 80.8483522886 reducing max timestep prior to age target 287 5.2551428987611341D+08 (age_target - star_age)/age_sigma 288 79.2793152465 reducing max timestep prior to age target 288 5.1531554910243368D+08 (age_target - star_age)/age_sigma 289 77.7416589453 reducing max timestep prior to age target 289 5.0532078314422750D+08 290 7.189099 5712.606 -0.001966 -0.001966 1.000000 1.000000 0.382444 0.004887 0.242403 -1.532834 518 0 6.9910E+00 7.189099 0.008031 -42.958756 -1.626908 -99.000000 0.000000 0.598965 0.008104 0.015993 0.114521 5 4.0740E+09 2.155952 -0.001908 -15.954590 -99.000000 -6.912995 0.000000 0.000019 0.001889 0.018591 0.000E+00 max_dt rel_E_err 1.9093238278023535D-13 log_rel_run_E_err -10.1757297763996171 (age_target - star_age)/age_sigma 290 76.2347557700 reducing max timestep prior to age target 290 4.9552591250518560D+08 (age_target - star_age)/age_sigma 291 74.7579906583 reducing max timestep prior to age target 291 4.8592693927892447D+08 (age_target - star_age)/age_sigma 292 73.3107608488 reducing max timestep prior to age target 292 4.7651994551718855D+08 (age_target - star_age)/age_sigma 293 71.8924756355 reducing max timestep prior to age target 293 4.6730109163068724D+08 (age_target - star_age)/age_sigma 294 70.5025561264 reducing max timestep prior to age target 294 4.5826661482191610D+08 (age_target - star_age)/age_sigma 295 69.1404350076 reducing max timestep prior to age target 295 4.4941282754932022D+08 (age_target - star_age)/age_sigma 296 67.8055563111 reducing max timestep prior to age target 296 4.4073611602217674D+08 (age_target - star_age)/age_sigma 297 66.4973751886 reducing max timestep prior to age target 297 4.3223293872557545D+08 (age_target - star_age)/age_sigma 298 65.2153576884 reducing max timestep prior to age target 298 4.2389982497490644D+08 (age_target - star_age)/age_sigma 299 63.9589805383 reducing max timestep prior to age target 299 4.1573337349925137D+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 7.190740 5714.092 0.001212 0.001212 1.000000 1.000000 0.374634 0.004915 0.241821 -1.528767 518 0 6.9033E+00 7.190740 0.009393 -42.852898 -1.621612 -99.000000 0.000000 0.606770 0.008079 0.015958 0.115512 5 4.1618E+09 2.162508 0.001268 -15.352530 -99.000000 -6.915336 0.000000 0.000019 0.001890 0.018597 0.000E+00 max_dt rel_E_err 1.7750150680485706D-13 log_rel_run_E_err -10.1640717123056241 (age_target - star_age)/age_sigma 300 62.7277309312 reducing max timestep prior to age target 300 4.0773025105310869D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.5211063163 reducing max timestep prior to age target 301 3.9988719105588913D+08 (age_target - star_age)/age_sigma 303 59.1561220710 reducing max timestep prior to age target 303 3.8451479346133852D+08 (age_target - star_age)/age_sigma 304 57.9972797908 reducing max timestep prior to age target 304 3.7698231864000845D+08 (age_target - star_age)/age_sigma 305 56.8616143562 reducing max timestep prior to age target 305 3.6960049331510544D+08 (age_target - star_age)/age_sigma 306 55.7486622303 reducing max timestep prior to age target 306 3.6236630449670029D+08 (age_target - star_age)/age_sigma 307 54.6579691469 reducing max timestep prior to age target 307 3.5527679945466328D+08 (age_target - star_age)/age_sigma 308 53.5890899251 reducing max timestep prior to age target 308 3.4832908451346731D+08 (age_target - star_age)/age_sigma 309 52.5415882879 reducing max timestep prior to age target 309 3.4152032387109470D+08 310 7.192119 5715.298 0.003863 0.003863 1.000000 1.000000 0.368121 0.004939 0.241342 -1.525346 518 0 6.8243E+00 7.192119 0.010534 -42.764339 -1.617144 -99.000000 0.000000 0.613277 0.008056 0.015930 0.116355 5 4.2347E+09 2.168011 0.003918 -15.653560 -99.000000 -6.917283 0.000000 0.000019 0.001891 0.018601 0.000E+00 max_dt rel_E_err 1.8145874916620028D-13 log_rel_run_E_err -10.1526457764372893 (age_target - star_age)/age_sigma 310 51.5150366833 reducing max timestep prior to age target 310 3.3484773844157028D+08 (age_target - star_age)/age_sigma 311 50.5090161109 reducing max timestep prior to age target 311 3.2830860472063589D+08 (age_target - star_age)/age_sigma 312 49.5231159499 reducing max timestep prior to age target 312 3.2190025367412043D+08 (age_target - star_age)/age_sigma 313 48.5569337921 reducing max timestep prior to age target 313 3.1562006964853477D+08 (age_target - star_age)/age_sigma 314 47.6100752775 reducing max timestep prior to age target 314 3.0946548930346155D+08 (age_target - star_age)/age_sigma 315 46.6821539331 reducing max timestep prior to age target 315 3.0343400056528902D+08 (age_target - star_age)/age_sigma 316 45.7727910157 reducing max timestep prior to age target 316 2.9752314160188055D+08 (age_target - star_age)/age_sigma 317 44.8816153566 reducing max timestep prior to age target 317 2.9173049981773996D+08 (age_target - star_age)/age_sigma 318 44.0082632107 reducing max timestep prior to age target 318 2.8605371086928177D+08 (age_target - star_age)/age_sigma 319 43.1523781077 reducing max timestep prior to age target 319 2.8049045769979334D+08 320 7.193262 5716.267 0.006047 0.006047 1.000000 1.000000 0.362758 0.004960 0.240952 -1.522512 518 0 6.7366E+00 7.193262 0.011479 -42.691177 -1.613426 -99.000000 0.000000 0.618638 0.008037 0.015906 0.117061 5 4.2945E+09 2.172567 0.006101 -99.000000 -99.000000 -6.918885 0.000000 0.000019 0.001891 0.018605 0.000E+00 max_dt rel_E_err 1.8330938664392350D-13 log_rel_run_E_err -10.1412866179775616 (age_target - star_age)/age_sigma 320 42.3136107067 reducing max timestep prior to age target 320 2.7503846959369421D+08 (age_target - star_age)/age_sigma 321 41.4916186538 reducing max timestep prior to age target 321 2.6969552124971771D+08 (age_target - star_age)/age_sigma 322 40.6860664419 reducing max timestep prior to age target 322 2.6445943187261963D+08 (age_target - star_age)/age_sigma 323 39.8966252743 reducing max timestep prior to age target 323 2.5932806428306484D+08 (age_target - star_age)/age_sigma 324 39.1229729300 reducing max timestep prior to age target 324 2.5429932404530048D+08 (age_target - star_age)/age_sigma 325 38.3647936327 reducing max timestep prior to age target 325 2.4937115861229229D+08 (age_target - star_age)/age_sigma 326 37.6217779212 reducing max timestep prior to age target 326 2.4454155648794365D+08 (age_target - star_age)/age_sigma 327 36.8936225240 reducing max timestep prior to age target 327 2.3980854640608120D+08 (age_target - star_age)/age_sigma 328 36.1800302347 reducing max timestep prior to age target 328 2.3517019652585697D+08 (age_target - star_age)/age_sigma 329 35.4807097913 reducing max timestep prior to age target 329 2.3062461364323711D+08 330 7.194204 5717.044 0.007837 0.007837 1.000000 1.000000 0.358362 0.004977 0.240635 -1.520178 518 0 6.6488E+00 7.194204 0.012255 -42.631066 -1.610354 -99.000000 0.000000 0.623031 0.008020 0.015887 0.117648 5 4.3433E+09 2.176318 0.007891 -99.000000 -99.000000 -6.920195 0.000000 0.000019 0.001892 0.018607 0.000E+00 max_dt rel_E_err 1.8220688385388165D-13 log_rel_run_E_err -10.1302282732223681 (age_target - star_age)/age_sigma 330 34.7953757567 reducing max timestep prior to age target 330 2.2616994241826916D+08 (age_target - star_age)/age_sigma 331 34.1237484027 reducing max timestep prior to age target 331 2.2180436461780071D+08 (age_target - star_age)/age_sigma 332 33.4655535959 reducing max timestep prior to age target 332 2.1752609837334156D+08 (age_target - star_age)/age_sigma 333 32.8205226852 reducing max timestep prior to age target 333 2.1333339745377159D+08 (age_target - star_age)/age_sigma 334 32.1883923927 reducing max timestep prior to age target 334 2.0922455055259323D+08 (age_target - star_age)/age_sigma 335 31.5689047061 reducing max timestep prior to age target 335 2.0519788058943939D+08 (age_target - star_age)/age_sigma 336 30.9618067732 reducing max timestep prior to age target 336 2.0125174402554703D+08 (age_target - star_age)/age_sigma 338 29.7718948247 reducing max timestep prior to age target 338 1.9351731636031914D+08 (age_target - star_age)/age_sigma 339 29.1888379699 reducing max timestep prior to age target 339 1.8972744680435753D+08 340 7.194982 5717.674 0.009313 0.009313 1.000000 1.000000 0.354740 0.004992 0.240375 -1.518247 518 0 6.5699E+00 7.194982 0.012897 -42.581442 -1.607806 -99.000000 0.000000 0.626650 0.008005 0.015871 0.118137 5 4.3835E+09 2.179419 0.009365 -99.000000 -99.000000 -6.921272 0.000000 0.000019 0.001892 0.018610 0.000E+00 max_dt rel_E_err 1.7963203203522737D-13 log_rel_run_E_err -10.1196369778536539 (age_target - star_age)/age_sigma 340 28.6174422522 reducing max timestep prior to age target 340 1.8601337463951492D+08 (age_target - star_age)/age_sigma 341 28.0574744489 reducing max timestep prior to age target 341 1.8237358391796970D+08 (age_target - star_age)/age_sigma 342 27.5087060017 reducing max timestep prior to age target 342 1.7880658901085567D+08 (age_target - star_age)/age_sigma 343 26.9709129234 reducing max timestep prior to age target 343 1.7531093400188351D+08 (age_target - star_age)/age_sigma 344 26.4438757066 reducing max timestep prior to age target 344 1.7188519209309006D+08 (age_target - star_age)/age_sigma 345 25.9273792342 reducing max timestep prior to age target 345 1.6852796502247334D+08 (age_target - star_age)/age_sigma 346 25.4212126913 reducing max timestep prior to age target 346 1.6523788249326801D+08 (age_target - star_age)/age_sigma 347 24.9251694792 reducing max timestep prior to age target 347 1.6201360161464787D+08 (age_target - star_age)/age_sigma 348 24.4390471313 reducing max timestep prior to age target 348 1.5885380635359955D+08 (age_target - star_age)/age_sigma 349 23.9626472304 reducing max timestep prior to age target 349 1.5575720699777317D+08 350 7.195632 5718.189 0.010538 0.010538 1.000000 1.000000 0.351731 0.005005 0.240161 -1.516637 518 0 6.4821E+00 7.195632 0.013431 -42.540146 -1.605678 -99.000000 0.000000 0.629657 0.007993 0.015859 0.118547 5 4.4168E+09 2.182004 0.010591 -99.000000 -99.000000 -6.922167 0.000000 0.000020 0.001893 0.018611 0.000E+00 max_dt rel_E_err 1.8489162539283447D-13 log_rel_run_E_err -10.1092358206505999 (age_target - star_age)/age_sigma 350 23.4957753275 reducing max timestep prior to age target 350 1.5272253962906265D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.0382408627 reducing max timestep prior to age target 351 1.4974856560772610D+08 (age_target - star_age)/age_sigma 352 22.5898570872 reducing max timestep prior to age target 352 1.4683407106681633D+08 (age_target - star_age)/age_sigma 353 22.1504409872 reducing max timestep prior to age target 353 1.4397786641672516D+08 (age_target - star_age)/age_sigma 354 21.7198132092 reducing max timestep prior to age target 354 1.4117878585963535D+08 (age_target - star_age)/age_sigma 355 21.2977979867 reducing max timestep prior to age target 355 1.3843568691368675D+08 (age_target - star_age)/age_sigma 356 20.8842230687 reducing max timestep prior to age target 356 1.3574744994665813D+08 (age_target - star_age)/age_sigma 357 20.4789196491 reducing max timestep prior to age target 357 1.3311297771896935D+08 (age_target - star_age)/age_sigma 358 20.0817222978 reducing max timestep prior to age target 358 1.3053119493583488D+08 (age_target - star_age)/age_sigma 359 19.6924688936 reducing max timestep prior to age target 359 1.2800104780836296D+08 360 7.196165 5718.605 0.011542 0.011542 1.000000 1.000000 0.349269 0.005016 0.239986 -1.515315 518 0 6.3944E+00 7.196165 0.013870 -42.506297 -1.603928 -99.000000 0.000000 0.632119 0.007982 0.015848 0.118885 5 4.4440E+09 2.184125 0.011593 -15.176439 -99.000000 -6.922898 0.000000 0.000020 0.001893 0.018613 0.000E+00 max_dt rel_E_err 1.8296369328075524D-13 log_rel_run_E_err -10.0991833376842894 (age_target - star_age)/age_sigma 360 19.3110005575 reducing max timestep prior to age target 360 1.2552150362344074D+08 (age_target - star_age)/age_sigma 361 18.9371615880 reducing max timestep prior to age target 361 1.2309155032221699D+08 (age_target - star_age)/age_sigma 362 18.5707993980 reducing max timestep prior to age target 362 1.2071019608701706D+08 (age_target - star_age)/age_sigma 363 18.2117644518 reducing max timestep prior to age target 363 1.1837646893652153D+08 (age_target - star_age)/age_sigma 364 17.8599102045 reducing max timestep prior to age target 364 1.1608941632903576D+08 (age_target - star_age)/age_sigma 365 17.5150930421 reducing max timestep prior to age target 365 1.1384810477369976D+08 (age_target - star_age)/age_sigma 366 17.1771722230 reducing max timestep prior to age target 366 1.1165161944947052D+08 (age_target - star_age)/age_sigma 367 16.8460098203 reducing max timestep prior to age target 367 1.0949906383172607D+08 (age_target - star_age)/age_sigma 368 16.5214706656 reducing max timestep prior to age target 368 1.0738955932633686D+08 (age_target - star_age)/age_sigma 369 16.2034222940 reducing max timestep prior to age target 369 1.0532224491105461D+08 370 7.196602 5718.942 0.012363 0.012363 1.000000 1.000000 0.347254 0.005025 0.239844 -1.514230 518 0 6.3066E+00 7.196602 0.014229 -42.478568 -1.602491 -99.000000 0.000000 0.634133 0.007974 0.015839 0.119164 5 4.4662E+09 2.185864 0.012414 -99.000000 -99.000000 -6.923495 0.000000 0.000020 0.001893 0.018614 0.000E+00 max_dt rel_E_err 1.8675113057599150D-13 log_rel_run_E_err -10.0891876675262218 (age_target - star_age)/age_sigma 370 15.8917348899 reducing max timestep prior to age target 370 1.0329627678407860D+08 (age_target - star_age)/age_sigma 372 15.2808275777 reducing max timestep prior to age target 372 9.9325379255205154D+07 (age_target - star_age)/age_sigma 373 14.9814829948 reducing max timestep prior to age target 373 9.7379639466056824D+07 (age_target - star_age)/age_sigma 374 14.6881253035 reducing max timestep prior to age target 374 9.5472814472691536D+07 (age_target - star_age)/age_sigma 375 14.4006347660 reducing max timestep prior to age target 375 9.3604125979193687D+07 (age_target - star_age)/age_sigma 376 14.1188940393 reducing max timestep prior to age target 376 9.1772811255566597D+07 (age_target - star_age)/age_sigma 377 13.8427881271 reducing max timestep prior to age target 377 8.9978122826411247D+07 (age_target - star_age)/age_sigma 378 13.5722043332 reducing max timestep prior to age target 378 8.8219328165839195D+07 (age_target - star_age)/age_sigma 379 13.3070322152 reducing max timestep prior to age target 379 8.6495709398478508D+07 380 7.196966 5719.221 0.013046 0.013046 1.000000 1.000000 0.345575 0.005033 0.239726 -1.513324 518 0 6.2277E+00 7.196966 0.014528 -42.455450 -1.601290 -99.000000 0.000000 0.635810 0.007966 0.015832 0.119397 5 4.4847E+09 2.187315 0.013097 -15.176439 -99.000000 -6.923993 0.000000 0.000020 0.001893 0.018614 0.000E+00 max_dt rel_E_err 1.8250511520200302D-13 log_rel_run_E_err -10.0794440519248916 (age_target - star_age)/age_sigma 380 13.0471635395 reducing max timestep prior to age target 380 8.4806563006464958D+07 (age_target - star_age)/age_sigma 381 12.7924922373 reducing max timestep prior to age target 381 8.3151199542291641D+07 (age_target - star_age)/age_sigma 382 12.5429143611 reducing max timestep prior to age target 382 8.1528943347401619D+07 (age_target - star_age)/age_sigma 383 12.2983280425 reducing max timestep prior to age target 383 7.9939132276410103D+07 (age_target - star_age)/age_sigma 384 12.0586334503 reducing max timestep prior to age target 384 7.8381117426837921D+07 (age_target - star_age)/age_sigma 385 11.8237327499 reducing max timestep prior to age target 385 7.6854262874256134D+07 (age_target - star_age)/age_sigma 386 11.5935300635 reducing max timestep prior to age target 386 7.5357945412727356D+07 (age_target - star_age)/age_sigma 387 11.3679314308 reducing max timestep prior to age target 387 7.3891554300429344D+07 (age_target - star_age)/age_sigma 388 11.1468447708 reducing max timestep prior to age target 388 7.2454491010376930D+07 (age_target - star_age)/age_sigma 389 10.9301798440 reducing max timestep prior to age target 389 7.1046168986124992D+07 390 7.197266 5719.447 0.013607 0.013607 1.000000 1.000000 0.344200 0.005039 0.239629 -1.512579 518 0 6.1399E+00 7.197266 0.014774 -42.436489 -1.600303 -99.000000 0.000000 0.637185 0.007960 0.015827 0.119589 5 4.4998E+09 2.188507 0.013658 -99.000000 -99.000000 -6.924400 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt rel_E_err 1.8650977694313218D-13 log_rel_run_E_err -10.0699703475378151 (age_target - star_age)/age_sigma 390 10.7178482157 reducing max timestep prior to age target 390 6.9666013402359009D+07 (age_target - star_age)/age_sigma 391 10.5097632200 reducing max timestep prior to age target 391 6.8313460930267334D+07 (age_target - star_age)/age_sigma 392 10.3058399242 reducing max timestep prior to age target 392 6.6987959507617950D+07 (age_target - star_age)/age_sigma 393 10.1059950944 reducing max timestep prior to age target 393 6.5688968113422394D+07 (age_target - star_age)/age_sigma 394 9.9101471611 reducing max timestep prior to age target 394 6.4415956547109604D+07 (age_target - star_age)/age_sigma 395 9.7182161865 reducing max timestep prior to age target 395 6.3168405212123871D+07 (age_target - star_age)/age_sigma 396 9.5301238314 reducing max timestep prior to age target 396 6.1945804903837204D+07 (age_target - star_age)/age_sigma 397 9.3457933233 reducing max timestep prior to age target 397 6.0747656601716042D+07 (age_target - star_age)/age_sigma 398 9.1651494255 reducing max timestep prior to age target 398 5.9573471265638351D+07 (age_target - star_age)/age_sigma 399 8.9881184056 reducing max timestep prior to age target 399 5.8422769636281013D+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 7.197511 5719.631 0.014066 0.014066 1.000000 1.000000 0.343075 0.005044 0.239550 -1.511968 518 0 6.0522E+00 7.197511 0.014975 -42.420974 -1.599495 -99.000000 0.000000 0.638310 0.007955 0.015822 0.119747 5 4.5122E+09 2.189483 0.014116 -99.000000 -99.000000 -6.924733 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.9411105615718760D-13 log_rel_run_E_err -10.0605687656836746 (age_target - star_age)/age_sigma 400 8.8146280061 reducing max timestep prior to age target 400 5.7295082039511681D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.6446074146 reducing max timestep prior to age target 401 5.6189948194677353D+07 (age_target - star_age)/age_sigma 402 8.4779872349 reducing max timestep prior to age target 402 5.5106917026740074D+07 (age_target - star_age)/age_sigma 403 8.3146994588 reducing max timestep prior to age target 403 5.4045546482160568D+07 (age_target - star_age)/age_sigma 404 8.1546774382 reducing max timestep prior to age target 404 5.3005403348473549D+07 (age_target - star_age)/age_sigma 405 7.9978558581 reducing max timestep prior to age target 405 5.1986063077460289D+07 (age_target - star_age)/age_sigma 407 7.6904855610 reducing max timestep prior to age target 407 4.9988156146273613D+07 (age_target - star_age)/age_sigma 408 7.5398741154 reducing max timestep prior to age target 408 4.9009181749992371D+07 (age_target - star_age)/age_sigma 409 7.3922748987 reducing max timestep prior to age target 409 4.8049786841636658D+07 410 7.197713 5719.783 0.014443 0.014443 1.000000 1.000000 0.342148 0.005048 0.239485 -1.511465 518 0 5.9732E+00 7.197713 0.015141 -42.408184 -1.598827 -99.000000 0.000000 0.639236 0.007951 0.015818 0.119877 3 4.5224E+09 2.190287 0.014494 -99.000000 -99.000000 -6.925008 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.9452460771287830D-13 log_rel_run_E_err -10.0510488282514761 (age_target - star_age)/age_sigma 410 7.2476276664 reducing max timestep prior to age target 410 4.7109579831448555D+07 (age_target - star_age)/age_sigma 411 7.1058733787 reducing max timestep prior to age target 411 4.6188176961463928D+07 (age_target - star_age)/age_sigma 412 6.9669541768 reducing max timestep prior to age target 412 4.5285202148879051D+07 (age_target - star_age)/age_sigma 413 6.8308133589 reducing max timestep prior to age target 413 4.4400286832546234D+07 (age_target - star_age)/age_sigma 414 6.6973953573 reducing max timestep prior to age target 414 4.3533069822539330D+07 (age_target - star_age)/age_sigma 415 6.5666457158 reducing max timestep prior to age target 415 4.2683197152732849D+07 (age_target - star_age)/age_sigma 416 6.4385110671 reducing max timestep prior to age target 416 4.1850321936322212D+07 (age_target - star_age)/age_sigma 417 6.3129391114 reducing max timestep prior to age target 417 4.1034104224240303D+07 (age_target - star_age)/age_sigma 418 6.1898785948 reducing max timestep prior to age target 418 4.0234210866399765D+07 (age_target - star_age)/age_sigma 419 6.0692792886 reducing max timestep prior to age target 419 3.9450315375716209D+07 420 7.197880 5719.907 0.014756 0.014756 1.000000 1.000000 0.341381 0.005052 0.239432 -1.511047 518 0 5.8855E+00 7.197880 0.015278 -42.397591 -1.598274 -99.000000 0.000000 0.640003 0.007947 0.015815 0.119985 3 4.5308E+09 2.190954 0.014806 -15.176439 -99.000000 -6.925235 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt rel_E_err 1.8246530324810465D-13 log_rel_run_E_err -10.0419740251137295 (age_target - star_age)/age_sigma 420 5.9510919684 reducing max timestep prior to age target 420 3.8682097794845581D+07 (age_target - star_age)/age_sigma 421 5.8352683947 reducing max timestep prior to age target 421 3.7929244565592766D+07 (age_target - star_age)/age_sigma 422 5.7217612925 reducing max timestep prior to age target 422 3.7191448400925636D+07 (age_target - star_age)/age_sigma 423 5.6105243322 reducing max timestep prior to age target 423 3.6468408159550667D+07 (age_target - star_age)/age_sigma 424 5.5015121112 reducing max timestep prior to age target 424 3.5759828723004341D+07 (age_target - star_age)/age_sigma 425 5.3946801346 reducing max timestep prior to age target 425 3.5065420875187874D+07 (age_target - star_age)/age_sigma 426 5.2899847976 reducing max timestep prior to age target 426 3.4384901184328079D+07 (age_target - star_age)/age_sigma 427 5.1873833673 reducing max timestep prior to age target 427 3.3717991887286186D+07 (age_target - star_age)/age_sigma 428 5.0868339656 reducing max timestep prior to age target 428 3.3064420776184082D+07 (age_target - star_age)/age_sigma 429 4.9870921231 reducing max timestep prior to age target 429 3.2416098800180435D+07 430 7.198018 5720.009 0.015013 0.015013 1.000000 1.000000 0.340751 0.005055 0.239388 -1.510704 518 0 5.8118E+00 7.198018 0.015391 -42.388893 -1.597820 -99.000000 0.000000 0.640633 0.007944 0.015812 0.120074 3 4.5377E+09 2.191502 0.015063 -15.653560 -99.000000 -6.925421 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.8795641710206181D-13 log_rel_run_E_err -10.0333233971335094 (age_target - star_age)/age_sigma 430 4.8873502806 reducing max timestep prior to age target 430 3.1767776824176788D+07 (age_target - star_age)/age_sigma 431 4.7876084382 reducing max timestep prior to age target 431 3.1119454848173141D+07 (age_target - star_age)/age_sigma 432 4.6878665957 reducing max timestep prior to age target 432 3.0471132872169495D+07 (age_target - star_age)/age_sigma 433 4.5881247533 reducing max timestep prior to age target 433 2.9822810896165848D+07 (age_target - star_age)/age_sigma 434 4.4883829108 reducing max timestep prior to age target 434 2.9174488920162201D+07 (age_target - star_age)/age_sigma 435 4.3886410683 reducing max timestep prior to age target 435 2.8526166944157600D+07 (age_target - star_age)/age_sigma 436 4.2888992259 reducing max timestep prior to age target 436 2.7877844968153954D+07 (age_target - star_age)/age_sigma 437 4.1891573834 reducing max timestep prior to age target 437 2.7229522992150307D+07 (age_target - star_age)/age_sigma 438 4.0894155409 reducing max timestep prior to age target 438 2.6581201016146660D+07 (age_target - star_age)/age_sigma 439 3.9896736985 reducing max timestep prior to age target 439 2.5932879040143013D+07 440 7.198147 5720.105 0.015253 0.015253 1.000000 1.000000 0.340160 0.005058 0.239347 -1.510382 518 0 5.8118E+00 7.198147 0.015497 -42.380731 -1.597393 -99.000000 0.000000 0.641223 0.007942 0.015809 0.120158 3 4.5442E+09 2.192016 0.015303 -15.653560 -99.000000 -6.925596 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.7907114391892217D-13 log_rel_run_E_err -10.0248646979066383 (age_target - star_age)/age_sigma 440 3.8899318560 reducing max timestep prior to age target 440 2.5284557064139366D+07 (age_target - star_age)/age_sigma 441 3.7901900136 reducing max timestep prior to age target 441 2.4636235088135719D+07 (age_target - star_age)/age_sigma 442 3.6904481711 reducing max timestep prior to age target 442 2.3987913112132072D+07 (age_target - star_age)/age_sigma 443 3.5907063286 reducing max timestep prior to age target 443 2.3339591136128426D+07 (age_target - star_age)/age_sigma 444 3.4909644862 reducing max timestep prior to age target 444 2.2691269160123825D+07 (age_target - star_age)/age_sigma 445 3.3912226437 reducing max timestep prior to age target 445 2.2042947184120178D+07 (age_target - star_age)/age_sigma 446 3.2914808012 reducing max timestep prior to age target 446 2.1394625208116531D+07 (age_target - star_age)/age_sigma 447 3.1917389588 reducing max timestep prior to age target 447 2.0746303232112885D+07 (age_target - star_age)/age_sigma 448 3.0919971163 reducing max timestep prior to age target 448 2.0097981256109238D+07 (age_target - star_age)/age_sigma 449 2.9922552739 reducing max timestep prior to age target 449 1.9449659280105591D+07 450 7.198276 5720.200 0.015494 0.015494 1.000000 1.000000 0.339569 0.005061 0.239306 -1.510060 518 0 5.8118E+00 7.198276 0.015603 -42.372564 -1.596965 -99.000000 0.000000 0.641814 0.007939 0.015807 0.120242 3 4.5507E+09 2.192530 0.015544 -99.000000 -99.000000 -6.925770 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt rel_E_err 1.9196182530080103D-13 log_rel_run_E_err -10.0164622163786881 (age_target - star_age)/age_sigma 450 2.8925134314 reducing max timestep prior to age target 450 1.8801337304101944D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7927715889 reducing max timestep prior to age target 451 1.8153015328098297D+07 (age_target - star_age)/age_sigma 452 2.6930297465 reducing max timestep prior to age target 452 1.7504693352094650D+07 (age_target - star_age)/age_sigma 453 2.5932879040 reducing max timestep prior to age target 453 1.6856371376090050D+07 (age_target - star_age)/age_sigma 454 2.4935460616 remaining steps and years until age target 454 25 1.6208049400087357D+07 (age_target - star_age)/age_sigma 455 2.3938042191 reducing max timestep prior to age target 455 1.5559727424083710D+07 (age_target - star_age)/age_sigma 456 2.2940623766 remaining steps and years until age target 456 23 1.4911405448081017D+07 (age_target - star_age)/age_sigma 457 2.1943205342 reducing max timestep prior to age target 457 1.4263083472077370D+07 (age_target - star_age)/age_sigma 458 2.0945786917 reducing max timestep prior to age target 458 1.3614761496072769D+07 (age_target - star_age)/age_sigma 459 1.9948368492 remaining steps and years until age target 459 20 1.2966439520070076D+07 460 7.198405 5720.296 0.015735 0.015735 1.000000 1.000000 0.338978 0.005063 0.239264 -1.509737 518 0 5.8118E+00 7.198405 0.015709 -42.364391 -1.596537 -99.000000 0.000000 0.642405 0.007936 0.015805 0.120326 3 4.5572E+09 2.193045 0.015785 -15.352530 -99.000000 -6.925945 0.000000 0.000020 0.001894 0.018618 0.000E+00 max_dt rel_E_err 1.8836212227089138D-13 log_rel_run_E_err -10.0082094002263027 (age_target - star_age)/age_sigma 460 1.8950950068 reducing max timestep prior to age target 460 1.2318117544066429D+07 (age_target - star_age)/age_sigma 461 1.7953531643 reducing max timestep prior to age target 461 1.1669795568062782D+07 (age_target - star_age)/age_sigma 462 1.6956113219 remaining steps and years until age target 462 17 1.1021473592060089D+07 (age_target - star_age)/age_sigma 463 1.5958694794 reducing max timestep prior to age target 463 1.0373151616056442D+07 (age_target - star_age)/age_sigma 464 1.4961276369 reducing max timestep prior to age target 464 9.7248296400518417D+06 (age_target - star_age)/age_sigma 465 1.3963857945 remaining steps and years until age target 465 14 9.0765076640491486D+06 (age_target - star_age)/age_sigma 466 1.2966439520 reducing max timestep prior to age target 466 8.4281856880455017D+06 (age_target - star_age)/age_sigma 467 1.1969021095 reducing max timestep prior to age target 467 7.7798637120418549D+06 (age_target - star_age)/age_sigma 468 1.0971602671 reducing max timestep prior to age target 468 7.1315417360382080D+06 (age_target - star_age)/age_sigma 469 0.9974184246 reducing max timestep prior to age target 469 6.4832197600345612D+06 470 7.198535 5720.391 0.015976 0.015976 1.000000 1.000000 0.338386 0.005066 0.239223 -1.509414 518 0 5.8118E+00 7.198535 0.015815 -42.356212 -1.596109 -99.000000 0.000000 0.642996 0.007933 0.015802 0.120410 3 4.5637E+09 2.193561 0.016026 -15.653560 -99.000000 -6.926120 0.000000 0.000020 0.001894 0.018618 0.000E+00 max_dt rel_E_err 1.7355850503636856D-13 log_rel_run_E_err -10.0000099486865146 (age_target - star_age)/age_sigma 470 0.8976765822 remaining steps and years until age target 470 9 5.8348977840318680D+06 (age_target - star_age)/age_sigma 471 0.7979347397 reducing max timestep prior to age target 471 5.1865758080282211D+06 (age_target - star_age)/age_sigma 472 0.6981928972 reducing max timestep prior to age target 472 4.5382538320245743D+06 (age_target - star_age)/age_sigma 473 0.5984510548 reducing max timestep prior to age target 473 3.8899318560209274D+06 (age_target - star_age)/age_sigma 474 0.4987092123 reducing max timestep prior to age target 474 3.2416098800172806D+06 (age_target - star_age)/age_sigma 475 0.3989673698 reducing max timestep prior to age target 475 2.5932879040136337D+06 (age_target - star_age)/age_sigma 476 0.2992255274 remaining steps and years until age target 476 3 1.9449659280109406D+06 (age_target - star_age)/age_sigma 477 0.1994836849 remaining steps and years until age target 477 2 1.2966439520072937D+06 (age_target - star_age)/age_sigma 478 0.0997418425 remaining steps and years until age target 478 1 6.4832197600460052D+05 chi^2 combined, chi^2 seismo, chi^2 spectro 479 334180.88 0.00 334180.88 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 varcontrol dt limit 243 max increase dt limit 3206 lgTeff dt limit 1 lgRho_cntr dt limit 110 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 334180.88 0.00 334180.88 have reached age_target runtime (minutes), retries, steps 4.82 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 7.198651 5720.476 0.016193 0.016193 1.000000 1.000000 0.337854 0.005069 0.239186 -1.509122 518 0 5.8118E+00 7.198651 0.015910 -42.348847 -1.595722 -99.000000 0.000000 0.643528 0.007931 0.015800 0.120486 3 4.5695E+09 2.194025 0.016243 -15.653560 -99.000000 -6.926277 0.000000 0.000020 0.001894 0.018618 0.000E+00 max_dt rel_E_err 1.9194499748560979D-13 log_rel_run_E_err -9.9928411789660103 Teff 5720.4760560665 radius 1.0373138423 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 1392.3228240636 M_H -0.0339162770 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 1150.3138452127 log_R 0.0159101733 delta_nu 134.0181669295 nu_max 2873.3950815251 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 334180.8788897588 model number 479 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 "08c12e86" "gfortran" "13.3.0" "x86_64-linux-25.12.1" "CRMATH" "20260107" "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 3.3333875763343979E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187435746586971E+03 1.0010021152735951E+00 3.9075139536362746E-03 4.3499521226511708E-04 1.4131311804383409E+02 3.1134520391366050E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875763343979E+05 0 0 0 0 0 0 0 4 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 1 3.3351280955150846E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799356269539430E+03 1.0231387428323298E+00 -1.7398950154099558E-03 9.9345302525710756E-03 1.3680797539651249E+02 2.9640874280697080E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351280955150846E+05 0 0 0 0 0 0 0 3 3.3365601948940614E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355922679182013E+03 1.0099931800936883E+00 2.9465145847822460E-02 4.3184412502880526E-03 1.3947655830944021E+02 3.0536911602776722E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365601948940614E+05 0 0 0 0 0 0 0 6 3.3418087888975878E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7204760560664736E+03 1.0373138422581170E+00 -3.3916276995163849E-02 1.5910173303060018E-02 1.3401816692947784E+02 2.8733950815251337E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418087888975878E+05 0 0 0 0 0 0 0 2 3.3467762476560613E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7648132271902086E+03 1.0621856308706739E+00 -1.2877173992562437E-02 2.6200422035306429E-02 1.2940090818201503E+02 2.7298470328750154E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3467762476560613E+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 20 5.954492 4499.425 -12.856143 -12.856143 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 406 0 -5.0000E+00 5.954373 0.953650 -99.000000 -14.254009 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 2.0000E-04 -1.867396 1.474623 -99.000000 -99.000000 -7.709131 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954493 4432.451 -12.856147 -12.856147 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 0 -5.0000E+00 5.954373 0.953538 -99.000000 -14.254013 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 3.0000E-04 -1.867395 1.448345 -99.000000 -99.000000 -7.687157 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954493 4391.594 -12.856149 -12.856149 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 0 -5.0000E+00 5.954373 0.953459 -99.000000 -14.254015 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 2 4.0000E-04 -1.867395 1.432101 -99.000000 -99.000000 -7.672636 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954493 4363.108 -12.856151 -12.856151 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 0 -5.0000E+00 5.954373 0.953399 -99.000000 -14.254016 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3 5.0000E-04 -1.867394 1.420675 -28.597850 -99.000000 -7.661908 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 4209.428 -12.856154 -12.856154 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395712 403 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 1.357330 -99.000000 -99.000000 -7.592022 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 4.1078681335402345D-01 20 5.954580 4200.970 -12.855014 -12.855014 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395708 399 0 7.1957E-01 5.954462 0.952700 -99.000000 -14.252880 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071359 3 1.0486E+01 -1.867261 1.353493 -99.000000 -99.000000 -7.587264 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 2.0551248159179938D-01 30 5.998592 4233.521 -12.245031 -12.245031 1.000000 1.000000 0.700000 0.001010 0.279998 -6.254362 404 0 3.5105E+00 5.998592 0.907985 -99.000000 -13.642896 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071090 3 8.2630E+03 -1.739788 1.277471 -99.000000 -99.000000 -7.549403 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501862506639D-08 40 6.176878 4345.463 -9.876806 -9.876806 1.000000 1.000000 0.700000 0.001010 0.279974 -5.636426 417 0 4.0834E+00 6.176878 0.723499 -99.000000 -11.274666 -99.000000 0.000000 0.280000 0.009381 0.019979 0.071111 3 8.3665E+04 -1.204532 0.953835 -99.000000 -99.000000 -7.376763 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128502084551243D-08 50 6.354418 4407.837 -7.759733 -7.759733 1.000000 1.000000 0.700000 0.001010 0.279846 -5.021159 435 0 4.5921E+00 6.354418 0.541563 -99.000000 -9.157577 -99.000000 0.000000 0.280000 0.009381 0.019875 0.071124 3 3.2738E+05 -0.671674 0.614721 -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 6.528351 4414.580 -5.889038 -5.889038 1.000000 1.000000 0.700000 0.001010 0.279598 -4.417759 446 0 5.1088E+00 6.528351 0.364464 -99.000000 -7.286841 -99.000000 0.000000 0.280000 0.009381 0.019714 0.071140 3 1.1238E+06 -0.149596 0.263179 -99.000000 -99.000000 -6.942509 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 4.7014111204955605D-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 6.603742 4258.246 -5.092662 -5.092662 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106268 457 0 -4.2874E+00 6.603742 0.282366 -99.000000 -6.490424 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071570 5 2.5959E-04 0.095260 0.036349 -99.000000 -99.000000 -6.892685 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7306154652957529D-13 log_rel_run_E_err -11.5849551410023111 20 6.603742 4271.133 -5.092664 -5.092664 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106268 457 0 -3.4956E+00 6.603742 0.282382 -99.000000 -6.490426 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071570 6 1.8669E-03 0.095261 0.041630 -99.000000 -99.000000 -6.898792 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6330237753746852D-13 log_rel_run_E_err -11.2788856103688726 30 6.603743 4272.718 -5.092667 -5.092667 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106268 457 0 -2.7037E+00 6.603743 0.282389 -99.000000 -6.490428 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071570 4 1.1819E-02 0.095262 0.042289 -99.000000 -99.000000 -6.899545 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5803242590855657D-13 log_rel_run_E_err -11.1041012782235526 40 6.603744 4272.198 -5.092666 -5.092666 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106268 457 0 -1.9119E+00 6.603744 0.282391 -99.000000 -6.490427 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071569 4 7.3439E-02 0.095263 0.042080 -99.000000 -99.000000 -6.899303 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5198173870035145D-13 log_rel_run_E_err -10.9787668260015483 50 6.603744 4270.694 -5.092666 -5.092666 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106268 457 0 -1.1201E+00 6.603744 0.282380 -99.000000 -6.490427 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071569 5 4.5497E-01 0.095264 0.041447 -99.000000 -99.000000 -6.898583 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6935304274720426D-13 log_rel_run_E_err -10.8832426297146103 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.603744 4270.356 -5.092664 -5.092664 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106267 457 0 -3.2831E-01 6.603744 0.282376 -99.000000 -6.490426 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071569 2 2.8173E+00 0.095265 0.041302 -99.000000 -99.000000 -6.898420 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6447335879252278D-13 log_rel_run_E_err -10.8043175210145908 70 6.603745 4270.355 -5.092655 -5.092655 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106263 457 0 4.6351E-01 6.603745 0.282375 -99.000000 -6.490416 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071569 2 1.7444E+01 0.095268 0.041300 -20.470040 -99.000000 -6.898418 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7754999047365332D-13 log_rel_run_E_err -10.7353461447402356 80 6.603751 4270.350 -5.092596 -5.092596 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106238 457 0 1.2553E+00 6.603751 0.282369 -99.000000 -6.490357 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071570 2 1.0801E+02 0.095287 0.041285 -99.000000 -99.000000 -6.898408 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5510027239070783D-13 log_rel_run_E_err -10.6785806028984016 90 6.603784 4270.319 -5.092231 -5.092231 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106081 457 0 2.0471E+00 6.603784 0.282331 -99.000000 -6.489993 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071571 2 6.6878E+02 0.095404 0.041197 -20.771070 -99.000000 -6.898348 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7069041882054751D-13 log_rel_run_E_err -10.6267571944209873 __________________________________________________________________________________________________________________________________________________ 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 6.603990 4270.126 -5.089976 -5.089976 1.000000 1.000000 0.711274 0.000946 0.270000 -4.105110 457 0 2.8389E+00 6.603990 0.282097 -99.000000 -6.487737 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071577 2 4.1409E+03 0.096132 0.040650 -99.000000 -99.000000 -6.897973 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.6585915298031807D-13 log_rel_run_E_err -10.5807765938720681 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.605252 4268.934 -5.076119 -5.076119 1.000000 1.000000 0.711274 0.000946 0.270000 -4.099121 457 0 3.6308E+00 6.605252 0.280658 -99.000000 -6.473879 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071615 2 2.5639E+04 0.100612 0.037288 -99.000000 -99.000000 -6.895666 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.7992286436435784D-13 log_rel_run_E_err -10.5413324539846869 120 6.612677 4261.708 -4.994118 -4.994118 1.000000 1.000000 0.711274 0.000946 0.270000 -4.062872 457 0 4.4226E+00 6.612677 0.272116 -99.000000 -6.391873 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071863 3 1.5875E+05 0.127405 0.017261 -99.000000 -99.000000 -6.881869 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5469186669491285D-13 log_rel_run_E_err -10.4533955636902327 130 6.647819 4225.129 -4.593166 -4.593166 1.000000 1.000000 0.711274 0.000946 0.270000 -3.862401 458 0 5.2144E+00 6.647819 0.229726 -99.000000 -5.990887 -99.000000 0.000000 0.270000 0.008783 0.018726 0.073752 4 9.8295E+05 0.266627 -0.082495 -19.771070 -99.000000 -6.812379 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase rel_E_err 2.5789046640439340D-13 log_rel_run_E_err -10.2643935662102361 140 6.737818 4163.750 -3.545513 -3.545513 1.000000 1.000000 0.711271 0.000946 0.269999 -3.156890 470 0 5.8475E+00 6.737818 0.122121 -99.000000 -4.943050 -99.000000 0.000000 0.270003 0.008783 0.018726 0.083918 4 5.3372E+06 0.704870 -0.323126 -99.000000 -99.000000 -6.648059 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 2.4967106676347789D-13 log_rel_run_E_err -10.3148731507400164 150 6.851064 4421.206 -2.404241 -2.404241 1.000000 1.000000 0.711260 0.000946 0.269994 -2.303837 477 0 5.9705E+00 6.851064 0.048361 -99.000000 -3.801159 -99.000000 0.000000 0.270014 0.008783 0.018725 0.097276 4 1.4211E+07 1.237050 -0.366421 -99.000000 -99.000000 -6.683751 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr rel_E_err 1.9867188415924054D-13 log_rel_run_E_err -10.4261529344874493 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.022397 5231.557 -1.001316 -1.001316 1.000000 1.000000 0.711132 0.000950 0.269974 -1.564670 495 0 6.0681E+00 7.022397 0.026286 -53.163995 -2.411973 -99.000000 0.000000 0.270140 0.008783 0.018724 0.101048 5 2.5994E+07 1.800482 -0.118211 -99.000000 -99.000000 -6.831721 0.000000 0.003224 0.001952 0.018728 0.000E+00 lgRho_cntr rel_E_err 1.8166920704154290D-13 log_rel_run_E_err -10.5629648198402375 (age_target - star_age)/age_sigma 169 694.5487151003 reducing max timestep prior to age target 169 4.5145666481519899D+09 170 7.130548 5501.218 -0.162798 -0.162798 1.000000 1.000000 0.709230 0.003030 0.269744 -1.723576 515 0 6.8553E+00 7.130548 -0.039346 -47.236919 -1.757861 -99.000000 0.000000 0.271741 0.008785 0.018710 0.085095 5 6.2099E+07 1.898728 -0.162164 -99.000000 -99.000000 -6.802512 0.000000 0.001442 0.001953 0.019029 0.000E+00 max increase rel_E_err 1.8580150893409230D-13 log_rel_run_E_err -10.6089994203208438 (age_target - star_age)/age_sigma 176 680.3101935006 reducing max timestep prior to age target 176 4.4220162577538614D+09 (age_target - star_age)/age_sigma 179 665.9318055946 reducing max timestep prior to age target 179 4.3285567363652105D+09 180 7.130813 5520.313 -0.145796 -0.145796 1.000000 1.000000 0.694430 0.004706 0.268184 -1.672519 505 0 7.6471E+00 7.130813 -0.034144 -47.111543 -1.800952 -99.000000 0.000000 0.286273 0.008797 0.018613 0.087473 10 2.8531E+08 1.923785 -0.145740 -15.653560 -99.000000 -6.812096 0.000000 0.000014 0.001956 0.019297 0.000E+00 max increase rel_E_err 1.8850118467645337D-13 log_rel_run_E_err -10.5790997415081467 (age_target - star_age)/age_sigma 181 650.9150804674 reducing max timestep prior to age target 181 4.2309480230379868D+09 (age_target - star_age)/age_sigma 182 641.0859512932 reducing max timestep prior to age target 182 4.1670586834056220D+09 (age_target - star_age)/age_sigma 184 616.9720524264 reducing max timestep prior to age target 184 4.0103183407718048D+09 (age_target - star_age)/age_sigma 185 604.8994874459 reducing max timestep prior to age target 185 3.9318466683983245D+09 (age_target - star_age)/age_sigma 186 593.0683737650 reducing max timestep prior to age target 186 3.8549444294723144D+09 (age_target - star_age)/age_sigma 187 581.4738823577 reducing max timestep prior to age target 187 3.7795802353248243D+09 (age_target - star_age)/age_sigma 188 570.1112807785 reducing max timestep prior to age target 188 3.7057233250602837D+09 (age_target - star_age)/age_sigma 189 558.9759312309 reducing max timestep prior to age target 189 3.6333435530010338D+09 190 7.139039 5538.003 -0.124018 -0.124018 1.000000 1.000000 0.640232 0.004747 0.263204 -1.651516 510 0 7.8508E+00 7.139039 -0.026026 -46.438306 -1.787129 -99.000000 0.000000 0.340371 0.008827 0.018300 0.091040 10 1.0071E+09 1.958741 -0.123945 -15.954590 -99.000000 -6.825134 0.000000 0.000014 0.001966 0.019398 0.000E+00 max_dt rel_E_err 1.7983011846448488D-13 log_rel_run_E_err -10.5505394482445354 (age_target - star_age)/age_sigma 190 548.0632886743 reducing max timestep prior to age target 190 3.5624113763829694D+09 (age_target - star_age)/age_sigma 191 537.3688989688 reducing max timestep prior to age target 191 3.4928978432972660D+09 (age_target - star_age)/age_sigma 192 526.8883970574 reducing max timestep prior to age target 192 3.4247745808732767D+09 (age_target - star_age)/age_sigma 193 516.6175051843 reducing max timestep prior to age target 193 3.3580137836977677D+09 (age_target - star_age)/age_sigma 194 506.5520311486 reducing max timestep prior to age target 194 3.2925882024657688D+09 (age_target - star_age)/age_sigma 195 496.6878665936 reducing max timestep prior to age target 195 3.2284711328584089D+09 (age_target - star_age)/age_sigma 196 487.0209853297 reducing max timestep prior to age target 196 3.1656364046431971D+09 (age_target - star_age)/age_sigma 197 477.5474416911 reducing max timestep prior to age target 197 3.1040583709922895D+09 (age_target - star_age)/age_sigma 198 468.2633689253 reducing max timestep prior to age target 198 3.0437118980143995D+09 (age_target - star_age)/age_sigma 199 459.1649776148 reducing max timestep prior to age target 199 2.9845723544960680D+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 7.146970 5552.515 -0.105336 -0.105336 1.000000 1.000000 0.591571 0.004789 0.258881 -1.632711 512 0 7.7631E+00 7.146970 -0.018957 -45.830224 -1.766255 -99.000000 0.000000 0.388945 0.008845 0.018029 0.094545 10 1.6429E+09 1.991321 -0.105262 -15.954590 -99.000000 -6.836984 0.000000 0.000015 0.001974 0.019484 0.000E+00 max_dt rel_E_err 1.9610617101908008D-13 log_rel_run_E_err -10.5227828470584388 (age_target - star_age)/age_sigma 200 450.2485541305 reducing max timestep prior to age target 200 2.9266156018481026D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 441.5104591159 reducing max timestep prior to age target 201 2.8698179842530966D+09 (age_target - star_age)/age_sigma 202 432.9471260015 reducing max timestep prior to age target 202 2.8141563190099912D+09 (age_target - star_age)/age_sigma 203 424.5550595495 reducing max timestep prior to age target 203 2.7596078870717473D+09 (age_target - star_age)/age_sigma 204 416.3308344265 reducing max timestep prior to age target 204 2.7061504237722683D+09 (age_target - star_age)/age_sigma 205 408.2710938060 reducing max timestep prior to age target 205 2.6537621097387791D+09 (age_target - star_age)/age_sigma 206 400.3725479978 reducing max timestep prior to age target 206 2.6024215619859600D+09 (age_target - star_age)/age_sigma 207 392.6319731059 reducing max timestep prior to age target 207 2.5521078251881971D+09 (age_target - star_age)/age_sigma 208 385.0462097118 reducing max timestep prior to age target 208 2.5028003631263890D+09 (age_target - star_age)/age_sigma 209 377.6121615855 reducing max timestep prior to age target 209 2.4544790503058176D+09 210 7.153884 5563.944 -0.089675 -0.089675 1.000000 1.000000 0.551204 0.004830 0.255437 -1.616107 512 0 7.6754E+00 7.153884 -0.012913 -45.321123 -1.746914 -99.000000 0.000000 0.429245 0.008850 0.017814 0.097744 10 2.1624E+09 2.019551 -0.089602 -99.000000 -99.000000 -6.847118 0.000000 0.000016 0.001981 0.019551 0.000E+00 max_dt rel_E_err 1.8755996078858958D-13 log_rel_run_E_err -10.4983260219789134 (age_target - star_age)/age_sigma 210 370.3267944218 reducing max timestep prior to age target 210 2.4071241637416573D+09 (age_target - star_age)/age_sigma 211 363.1871346014 reducing max timestep prior to age target 211 2.3607163749087801D+09 (age_target - star_age)/age_sigma 212 356.1902679773 reducing max timestep prior to age target 212 2.3152367418525605D+09 (age_target - star_age)/age_sigma 213 349.3333386858 reducing max timestep prior to age target 213 2.2706667014574656D+09 (age_target - star_age)/age_sigma 214 342.6135479800 reducing max timestep prior to age target 214 2.2269880618702726D+09 (age_target - star_age)/age_sigma 216 329.4427581968 reducing max timestep prior to age target 216 2.1413779282793741D+09 (age_target - star_age)/age_sigma 217 322.9890712031 reducing max timestep prior to age target 217 2.0994289628198342D+09 (age_target - star_age)/age_sigma 218 316.6644579492 reducing max timestep prior to age target 218 2.0583189766694846D+09 (age_target - star_age)/age_sigma 219 310.4663369603 reducing max timestep prior to age target 219 2.0180311902421422D+09 220 7.159909 5573.122 -0.076387 -0.076387 1.000000 1.000000 0.517445 0.004871 0.252519 -1.601466 515 0 7.5964E+00 7.159909 -0.007701 -44.890651 -1.729540 -99.000000 0.000000 0.462950 0.008844 0.017631 0.100653 10 2.5910E+09 2.044048 -0.076315 -15.477469 -99.000000 -6.855811 0.000000 0.000016 0.001987 0.019604 0.000E+00 max_dt rel_E_err 1.8538774679042623D-13 log_rel_run_E_err -10.4745358982023369 (age_target - star_age)/age_sigma 220 304.3921783913 reducing max timestep prior to age target 220 1.9785491595433464D+09 (age_target - star_age)/age_sigma 221 298.4395029936 reducing max timestep prior to age target 221 1.9398567694585266D+09 (age_target - star_age)/age_sigma 222 292.6058811039 reducing max timestep prior to age target 222 1.9019382271754036D+09 (age_target - star_age)/age_sigma 223 286.8889316520 reducing max timestep prior to age target 223 1.8647780557379427D+09 (age_target - star_age)/age_sigma 224 281.2863211891 reducing max timestep prior to age target 224 1.8283610877292314D+09 (age_target - star_age)/age_sigma 225 275.7957629355 reducing max timestep prior to age target 225 1.7926724590806937D+09 (age_target - star_age)/age_sigma 226 270.4150158469 reducing max timestep prior to age target 226 1.7576976030051270D+09 (age_target - star_age)/age_sigma 227 265.1418837002 reducing max timestep prior to age target 227 1.7234222440510716D+09 (age_target - star_age)/age_sigma 228 259.9742141963 reducing max timestep prior to age target 228 1.6898323922760978D+09 (age_target - star_age)/age_sigma 229 254.9098980826 reducing max timestep prior to age target 229 1.6569143375366230D+09 230 7.165125 5580.418 -0.065157 -0.065157 1.000000 1.000000 0.489222 0.004912 0.250119 -1.588671 515 0 7.5087E+00 7.165125 -0.003223 -44.526568 -1.714190 -99.000000 0.000000 0.491132 0.008831 0.017479 0.103269 10 2.9448E+09 2.065192 -0.065086 -99.000000 -99.000000 -6.863205 0.000000 0.000017 0.001992 0.019646 0.000E+00 max_dt rel_E_err 1.9555025956346822D-13 log_rel_run_E_err -10.4519577982497420 (age_target - star_age)/age_sigma 230 249.9468682911 reducing max timestep prior to age target 230 1.6246546438919377D+09 (age_target - star_age)/age_sigma 231 245.0830990954 reducing max timestep prior to age target 231 1.5930401441201458D+09 (age_target - star_age)/age_sigma 232 240.3166052837 reducing max timestep prior to age target 232 1.5620579343437905D+09 (age_target - star_age)/age_sigma 233 235.6454413481 reducing max timestep prior to age target 233 1.5316953687629619D+09 (age_target - star_age)/age_sigma 234 231.0677006913 reducing max timestep prior to age target 234 1.5019400544937501D+09 (age_target - star_age)/age_sigma 235 226.5815148477 reducing max timestep prior to age target 235 1.4727798465099220D+09 (age_target - star_age)/age_sigma 236 222.1850527209 reducing max timestep prior to age target 236 1.4442028426857710D+09 (age_target - star_age)/age_sigma 237 217.8765198366 reducing max timestep prior to age target 237 1.4161973789381027D+09 (age_target - star_age)/age_sigma 238 213.6541576101 reducing max timestep prior to age target 238 1.3887520244653878D+09 (age_target - star_age)/age_sigma 239 209.5162426280 reducing max timestep prior to age target 239 1.3618555770821276D+09 240 7.169557 5586.224 -0.055783 -0.055783 1.000000 1.000000 0.465904 0.004952 0.248148 -1.577742 519 0 7.4209E+00 7.169557 0.000559 -44.222445 -1.700905 -99.000000 0.000000 0.514417 0.008812 0.017354 0.105569 10 3.2340E+09 2.083096 -0.055715 -99.000000 -99.000000 -6.869409 0.000000 0.000017 0.001996 0.019679 0.000E+00 max_dt rel_E_err 1.9480541522808996D-13 log_rel_run_E_err -10.4302881238531207 (age_target - star_age)/age_sigma 240 205.4610859456 reducing max timestep prior to age target 240 1.3354970586465325D+09 (age_target - star_age)/age_sigma 241 201.4870323969 reducing max timestep prior to age target 241 1.3096657105796485D+09 (age_target - star_age)/age_sigma 242 197.5924599191 reducing max timestep prior to age target 242 1.2843509894741030D+09 (age_target - star_age)/age_sigma 243 193.7757788909 reducing max timestep prior to age target 243 1.2595425627906680D+09 (age_target - star_age)/age_sigma 244 190.0354314832 reducing max timestep prior to age target 244 1.2352303046409020D+09 (age_target - star_age)/age_sigma 245 186.3698910237 reducing max timestep prior to age target 245 1.2114042916541314D+09 (age_target - star_age)/age_sigma 246 182.7776613734 reducing max timestep prior to age target 246 1.1880547989270959D+09 (age_target - star_age)/age_sigma 247 179.2572763161 reducing max timestep prior to age target 247 1.1651722960546012D+09 (age_target - star_age)/age_sigma 248 175.8072989599 reducing max timestep prior to age target 248 1.1427474432395563D+09 (age_target - star_age)/age_sigma 249 172.4263211509 reducing max timestep prior to age target 249 1.1207710874808121D+09 250 7.173295 5590.780 -0.048005 -0.048005 1.000000 1.000000 0.446666 0.004989 0.246573 -1.568461 519 0 7.3332E+00 7.173295 0.003739 -43.969339 -1.689532 -99.000000 0.000000 0.533630 0.008790 0.017253 0.107570 10 3.4703E+09 2.098174 -0.047938 -15.000347 -99.000000 -6.874561 0.000000 0.000018 0.001999 0.019704 0.000E+00 max_dt rel_E_err 1.7698209241085797D-13 log_rel_run_E_err -10.4090867277748238 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 165.7996046452 reducing max timestep prior to age target 251 1.0776974301936746D+09 (age_target - star_age)/age_sigma 252 162.5525135574 reducing max timestep prior to age target 252 1.0565913381229773D+09 (age_target - star_age)/age_sigma 253 159.3703642913 reducing max timestep prior to age target 253 1.0359073678936934D+09 (age_target - star_age)/age_sigma 254 156.2518580106 reducing max timestep prior to age target 254 1.0156370770689955D+09 (age_target - star_age)/age_sigma 255 153.1957218555 reducing max timestep prior to age target 255 9.9577219206079149D+08 (age_target - star_age)/age_sigma 256 150.2007084235 reducing max timestep prior to age target 256 9.7630460475275135D+08 (age_target - star_age)/age_sigma 257 147.2655952601 reducing max timestep prior to age target 257 9.5722636919087219D+08 (age_target - star_age)/age_sigma 258 144.3891843600 reducing max timestep prior to age target 258 9.3852969834023046D+08 (age_target - star_age)/age_sigma 259 141.5703016779 reducing max timestep prior to age target 259 9.2020696090660191D+08 260 7.176500 5594.443 -0.041432 -0.041432 1.000000 1.000000 0.430488 0.005025 0.245288 -1.560469 518 0 7.2542E+00 7.176500 0.006456 -43.754826 -1.679666 -99.000000 0.000000 0.549788 0.008767 0.017171 0.109330 10 3.6672E+09 2.111078 -0.041367 -15.352530 -99.000000 -6.878922 0.000000 0.000018 0.002001 0.019724 0.000E+00 max_dt rel_E_err 1.8107319647950594D-13 log_rel_run_E_err -10.3896850527828750 (age_target - star_age)/age_sigma 260 138.8077966495 reducing max timestep prior to age target 260 9.0225067822164583D+08 (age_target - star_age)/age_sigma 261 136.1005417216 reducing max timestep prior to age target 261 8.8465352119038868D+08 (age_target - star_age)/age_sigma 262 133.4474318923 reducing max timestep prior to age target 262 8.6740830729975653D+08 (age_target - star_age)/age_sigma 263 130.8473842595 reducing max timestep prior to age target 263 8.5050799768693733D+08 (age_target - star_age)/age_sigma 264 128.2993375794 reducing max timestep prior to age target 264 8.3394569426637459D+08 (age_target - star_age)/age_sigma 265 125.8022518330 reducing max timestep prior to age target 265 8.1771463691422319D+08 (age_target - star_age)/age_sigma 266 123.3551078014 reducing max timestep prior to age target 266 8.0180820070911455D+08 (age_target - star_age)/age_sigma 267 120.9569066505 reducing max timestep prior to age target 267 7.8621989322810793D+08 (age_target - star_age)/age_sigma 268 118.6066695226 reducing max timestep prior to age target 268 7.7094335189672184D+08 (age_target - star_age)/age_sigma 269 116.3034371372 reducing max timestep prior to age target 269 7.5597234139196301D+08 270 7.179180 5597.342 -0.036002 -0.036002 1.000000 1.000000 0.417171 0.005057 0.244256 -1.553755 519 0 7.1665E+00 7.179180 0.008720 -43.577038 -1.671333 -99.000000 0.000000 0.563090 0.008743 0.017105 0.110837 10 3.8282E+09 2.121861 -0.035939 -15.352530 -99.000000 -6.882525 0.000000 0.000018 0.002003 0.019739 0.000E+00 max_dt rel_E_err 1.8348317278073385D-13 log_rel_run_E_err -10.3708895933331409 (age_target - star_age)/age_sigma 270 114.0462693996 reducing max timestep prior to age target 270 7.4130075109729958D+08 (age_target - star_age)/age_sigma 271 111.8342450167 reducing max timestep prior to age target 271 7.2692259260852957D+08 (age_target - star_age)/age_sigma 272 109.6664611215 reducing max timestep prior to age target 272 7.1283199728953505D+08 (age_target - star_age)/age_sigma 273 107.5420329041 reducing max timestep prior to age target 273 6.9902321387691975D+08 (age_target - star_age)/age_sigma 274 105.4600932512 reducing max timestep prior to age target 274 6.8549060613255739D+08 (age_target - star_age)/age_sigma 275 103.4197923912 reducing max timestep prior to age target 275 6.7222865054308224D+08 (age_target - star_age)/age_sigma 276 101.4202975485 reducing max timestep prior to age target 276 6.5923193406539631D+08 (age_target - star_age)/age_sigma 277 99.4607926027 reducing max timestep prior to age target 277 6.4649515191726398D+08 (age_target - star_age)/age_sigma 278 97.5404777557 reducing max timestep prior to age target 278 6.3401310541209459D+08 (age_target - star_age)/age_sigma 279 95.6585692057 reducing max timestep prior to age target 279 6.2178069983702898D+08 280 7.181414 5599.668 -0.031521 -0.031521 1.000000 1.000000 0.406220 0.005087 0.243353 -1.548145 519 0 7.0787E+00 7.181414 0.010599 -43.429929 -1.664328 -99.000000 0.000000 0.574029 0.008721 0.017047 0.112117 10 3.9597E+09 2.130840 -0.031459 -15.954590 -99.000000 -6.885512 0.000000 0.000019 0.002005 0.019751 0.000E+00 max_dt rel_E_err 1.7972229604488607D-13 log_rel_run_E_err -10.3525631242778218 (age_target - star_age)/age_sigma 280 93.8142988267 reducing max timestep prior to age target 280 6.0979294237346411D+08 (age_target - star_age)/age_sigma 281 92.0069138553 reducing max timestep prior to age target 281 5.9804494005917072D+08 (age_target - star_age)/age_sigma 282 90.2356765833 reducing max timestep prior to age target 282 5.8653189779116297D+08 (age_target - star_age)/age_sigma 283 88.4998640567 reducing max timestep prior to age target 283 5.7524911636851501D+08 (age_target - star_age)/age_sigma 285 85.0976715046 reducing max timestep prior to age target 285 5.5313486478012657D+08 (age_target - star_age)/age_sigma 286 83.4305971541 reducing max timestep prior to age target 286 5.4229888150181627D+08 (age_target - star_age)/age_sigma 287 81.7968642906 reducing max timestep prior to age target 287 5.3167961788907194D+08 (age_target - star_age)/age_sigma 288 80.1958060844 reducing max timestep prior to age target 288 5.2127273954858255D+08 (age_target - star_age)/age_sigma 289 78.6267690423 reducing max timestep prior to age target 289 5.1107399877490282D+08 290 7.183293 5601.543 -0.027790 -0.027790 1.000000 1.000000 0.397117 0.005113 0.242621 -1.543422 519 0 6.9998E+00 7.183293 0.012173 -43.307012 -1.658403 -99.000000 0.000000 0.583123 0.008699 0.017001 0.113209 6 4.0684E+09 2.138381 -0.027729 -15.255620 -99.000000 -6.887996 0.000000 0.000019 0.002006 0.019760 0.000E+00 max_dt rel_E_err 1.7727076635386895D-13 log_rel_run_E_err -10.3349910934886591 (age_target - star_age)/age_sigma 290 77.0891127410 reducing max timestep prior to age target 290 5.0107923281669664D+08 (age_target - star_age)/age_sigma 291 75.5822095658 reducing max timestep prior to age target 291 4.9128436217765522D+08 (age_target - star_age)/age_sigma 292 74.1054444541 reducing max timestep prior to age target 292 4.8168538895139408D+08 (age_target - star_age)/age_sigma 293 72.6582146446 reducing max timestep prior to age target 293 4.7227839518965816D+08 (age_target - star_age)/age_sigma 294 71.2399294313 reducing max timestep prior to age target 294 4.6305954130315685D+08 (age_target - star_age)/age_sigma 295 69.8500099222 reducing max timestep prior to age target 295 4.5402506449438524D+08 (age_target - star_age)/age_sigma 296 68.4878888034 reducing max timestep prior to age target 296 4.4517127722178984D+08 (age_target - star_age)/age_sigma 297 67.1530101069 reducing max timestep prior to age target 297 4.3649456569464588D+08 (age_target - star_age)/age_sigma 298 65.8448289843 reducing max timestep prior to age target 298 4.2799138839804506D+08 (age_target - star_age)/age_sigma 299 64.5628114842 reducing max timestep prior to age target 299 4.1965827464737606D+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 7.184862 5602.594 -0.024705 -0.024705 1.000000 1.000000 0.389580 0.005136 0.242025 -1.539474 518 0 6.9120E+00 7.184862 0.013552 -43.204873 -1.653434 -99.000000 0.000000 0.590652 0.008680 0.016963 0.114135 5 4.1580E+09 2.144672 -0.024646 -15.954590 -99.000000 -6.889995 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt rel_E_err 1.8402101438994012D-13 log_rel_run_E_err -10.3182778560557455 (age_target - star_age)/age_sigma 300 63.3064343341 reducing max timestep prior to age target 300 4.1149182317172050D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 62.0751847270 reducing max timestep prior to age target 301 4.0348870072557831D+08 (age_target - star_age)/age_sigma 302 60.8685601121 reducing max timestep prior to age target 302 3.9564564072835875D+08 (age_target - star_age)/age_sigma 303 59.6860679894 reducing max timestep prior to age target 303 3.8795944193108320D+08 (age_target - star_age)/age_sigma 304 58.5272257092 reducing max timestep prior to age target 304 3.8042696710975313D+08 (age_target - star_age)/age_sigma 305 57.3915602746 reducing max timestep prior to age target 305 3.7304514178485012D+08 (age_target - star_age)/age_sigma 306 56.2786081487 reducing max timestep prior to age target 306 3.6581095296644497D+08 (age_target - star_age)/age_sigma 307 55.1879150653 reducing max timestep prior to age target 307 3.5872144792440796D+08 (age_target - star_age)/age_sigma 308 54.1190358436 reducing max timestep prior to age target 308 3.5177373298321199D+08 (age_target - star_age)/age_sigma 309 53.0715342063 reducing max timestep prior to age target 309 3.4496497234083939D+08 310 7.186159 5603.816 -0.022165 -0.022165 1.000000 1.000000 0.383397 0.005156 0.241544 -1.536217 518 0 6.8243E+00 7.186159 0.014632 -43.120751 -1.649302 -99.000000 0.000000 0.596829 0.008663 0.016932 0.114908 5 4.2312E+09 2.149863 -0.022107 -99.000000 -99.000000 -6.891685 0.000000 0.000019 0.002008 0.019773 0.000E+00 max_dt rel_E_err 1.7904410318150484D-13 log_rel_run_E_err -10.3017475798114155 (age_target - star_age)/age_sigma 310 52.0449826017 reducing max timestep prior to age target 310 3.3829238691131496D+08 (age_target - star_age)/age_sigma 311 51.0389620293 reducing max timestep prior to age target 311 3.3175325319038057D+08 (age_target - star_age)/age_sigma 312 50.0530618683 reducing max timestep prior to age target 312 3.2534490214386511D+08 (age_target - star_age)/age_sigma 313 49.0868797105 reducing max timestep prior to age target 313 3.1906471811827993D+08 (age_target - star_age)/age_sigma 314 48.1400211959 reducing max timestep prior to age target 314 3.1291013777320623D+08 (age_target - star_age)/age_sigma 315 47.2120998515 reducing max timestep prior to age target 315 3.0687864903503370D+08 (age_target - star_age)/age_sigma 316 46.3027369341 reducing max timestep prior to age target 316 3.0096779007162523D+08 (age_target - star_age)/age_sigma 317 45.4115612750 reducing max timestep prior to age target 317 2.9517514828748465D+08 (age_target - star_age)/age_sigma 318 44.5382091291 reducing max timestep prior to age target 318 2.8949835933902645D+08 320 7.187231 5604.799 -0.020078 -0.020078 1.000000 1.000000 0.378320 0.005173 0.241153 -1.533530 518 0 6.7453E+00 7.187231 0.015523 -43.051452 -1.645876 -99.000000 0.000000 0.601902 0.008648 0.016907 0.115552 5 4.2911E+09 2.154147 -0.020020 -99.000000 -99.000000 -6.893073 0.000000 0.000019 0.002009 0.019778 0.000E+00 max_dt rel_E_err 1.7514990229227165D-13 log_rel_run_E_err -10.2862501702260616 (age_target - star_age)/age_sigma 320 42.8264389231 reducing max timestep prior to age target 320 2.7837185300004911D+08 (age_target - star_age)/age_sigma 321 41.9876715221 reducing max timestep prior to age target 321 2.7291986489395046D+08 (age_target - star_age)/age_sigma 322 41.1656794692 reducing max timestep prior to age target 322 2.6757691654997349D+08 (age_target - star_age)/age_sigma 323 40.3601272574 reducing max timestep prior to age target 323 2.6234082717287636D+08 (age_target - star_age)/age_sigma 324 39.5706860897 reducing max timestep prior to age target 324 2.5720945958332062D+08 (age_target - star_age)/age_sigma 325 38.7970337455 reducing max timestep prior to age target 325 2.5218071934555721D+08 (age_target - star_age)/age_sigma 326 38.0388544481 reducing max timestep prior to age target 326 2.4725255391254807D+08 (age_target - star_age)/age_sigma 327 37.2958387366 reducing max timestep prior to age target 327 2.4242295178819942D+08 (age_target - star_age)/age_sigma 328 36.5676833394 reducing max timestep prior to age target 328 2.3768994170633793D+08 (age_target - star_age)/age_sigma 329 35.8540910502 reducing max timestep prior to age target 329 2.3305159182611275D+08 330 7.188130 5605.605 -0.018335 -0.018335 1.000000 1.000000 0.374082 0.005188 0.240829 -1.531279 518 0 6.6576E+00 7.188130 0.016269 -42.993477 -1.642993 -99.000000 0.000000 0.606136 0.008635 0.016886 0.116097 5 4.3410E+09 2.157737 -0.018279 -15.477469 -99.000000 -6.894232 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt rel_E_err 1.8705015722563359D-13 log_rel_run_E_err -10.2710616467634157 (age_target - star_age)/age_sigma 330 35.1547706067 reducing max timestep prior to age target 330 2.2850600894349289D+08 (age_target - star_age)/age_sigma 331 34.4694365721 reducing max timestep prior to age target 331 2.2405133771852493D+08 (age_target - star_age)/age_sigma 332 33.7978092182 reducing max timestep prior to age target 332 2.1968575991805649D+08 (age_target - star_age)/age_sigma 333 33.1396144113 reducing max timestep prior to age target 333 2.1540749367359734D+08 (age_target - star_age)/age_sigma 334 32.4945835006 reducing max timestep prior to age target 334 2.1121479275402832D+08 (age_target - star_age)/age_sigma 335 31.8624532081 reducing max timestep prior to age target 335 2.0710594585284996D+08 (age_target - star_age)/age_sigma 336 31.2429655215 reducing max timestep prior to age target 336 2.0307927588969517D+08 (age_target - star_age)/age_sigma 337 30.6358675886 reducing max timestep prior to age target 337 1.9913313932580280D+08 (age_target - star_age)/age_sigma 338 30.0409116143 reducing max timestep prior to age target 338 1.9526592549318981D+08 (age_target - star_age)/age_sigma 339 29.4578547596 reducing max timestep prior to age target 339 1.9147605593722725D+08 340 7.188869 5606.254 -0.016908 -0.016908 1.000000 1.000000 0.370612 0.005200 0.240567 -1.529428 518 0 6.5699E+00 7.188869 0.016882 -42.945901 -1.640617 -99.000000 0.000000 0.609603 0.008624 0.016869 0.116548 5 4.3817E+09 2.160687 -0.016852 -15.477469 -99.000000 -6.895181 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt rel_E_err 1.8786534212441867D-13 log_rel_run_E_err -10.2564867506487243 (age_target - star_age)/age_sigma 340 28.8864590419 reducing max timestep prior to age target 340 1.8776198377238560D+08 (age_target - star_age)/age_sigma 341 28.3264912386 reducing max timestep prior to age target 341 1.8412219305083942D+08 (age_target - star_age)/age_sigma 342 27.7777227913 reducing max timestep prior to age target 342 1.8055519814372540D+08 (age_target - star_age)/age_sigma 343 27.2399297130 reducing max timestep prior to age target 343 1.7705954313475323D+08 (age_target - star_age)/age_sigma 344 26.7128924963 reducing max timestep prior to age target 344 1.7363380122595978D+08 (age_target - star_age)/age_sigma 345 26.1963960239 reducing max timestep prior to age target 345 1.7027657415534306D+08 (age_target - star_age)/age_sigma 346 25.6902294809 reducing max timestep prior to age target 346 1.6698649162613869D+08 (age_target - star_age)/age_sigma 347 25.1941862688 reducing max timestep prior to age target 347 1.6376221074751759D+08 (age_target - star_age)/age_sigma 348 24.7080639210 reducing max timestep prior to age target 348 1.6060241548647022D+08 (age_target - star_age)/age_sigma 349 24.2316640201 reducing max timestep prior to age target 349 1.5750581613064289D+08 350 7.189477 5606.778 -0.015739 -0.015739 1.000000 1.000000 0.367771 0.005211 0.240353 -1.527909 518 0 6.4821E+00 7.189477 0.017385 -42.906888 -1.638661 -99.000000 0.000000 0.612442 0.008614 0.016856 0.116920 5 4.4150E+09 2.163109 -0.015683 -99.000000 -99.000000 -6.895958 0.000000 0.000020 0.002010 0.019787 0.000E+00 max_dt rel_E_err 1.8037234414072761D-13 log_rel_run_E_err -10.2422464187475271 (age_target - star_age)/age_sigma 350 23.7647921172 reducing max timestep prior to age target 350 1.5447114876193237D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 23.3072576524 reducing max timestep prior to age target 351 1.5149717474059582D+08 (age_target - star_age)/age_sigma 352 22.8588738769 reducing max timestep prior to age target 352 1.4858268019968605D+08 (age_target - star_age)/age_sigma 354 21.9800416768 reducing max timestep prior to age target 354 1.4287027089950275D+08 (age_target - star_age)/age_sigma 355 21.5494138988 reducing max timestep prior to age target 355 1.4007119034241295D+08 (age_target - star_age)/age_sigma 356 21.1273986764 reducing max timestep prior to age target 356 1.3732809139646530D+08 (age_target - star_age)/age_sigma 357 20.7138237584 reducing max timestep prior to age target 357 1.3463985442943668D+08 (age_target - star_age)/age_sigma 358 20.3085203387 reducing max timestep prior to age target 358 1.3200538220174789D+08 (age_target - star_age)/age_sigma 359 19.9113229875 reducing max timestep prior to age target 359 1.2942359941861343D+08 360 7.189982 5607.209 -0.014769 -0.014769 1.000000 1.000000 0.365414 0.005220 0.240176 -1.526645 518 0 6.4031E+00 7.189982 0.017803 -42.874475 -1.637030 -99.000000 0.000000 0.614797 0.008606 0.016845 0.117232 5 4.4426E+09 2.165123 -0.014714 -99.000000 -99.000000 -6.896603 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt rel_E_err 1.8823556489121853D-13 log_rel_run_E_err -10.2287996353758039 (age_target - star_age)/age_sigma 360 19.5220695833 reducing max timestep prior to age target 360 1.2689345229114151D+08 (age_target - star_age)/age_sigma 361 19.1406012471 reducing max timestep prior to age target 361 1.2441390810621929D+08 (age_target - star_age)/age_sigma 362 18.7667622777 reducing max timestep prior to age target 362 1.2198395480499458D+08 (age_target - star_age)/age_sigma 363 18.4004000877 reducing max timestep prior to age target 363 1.1960260056979561D+08 (age_target - star_age)/age_sigma 364 18.0413651414 reducing max timestep prior to age target 364 1.1726887341930008D+08 (age_target - star_age)/age_sigma 365 17.6895108941 reducing max timestep prior to age target 365 1.1498182081181431D+08 (age_target - star_age)/age_sigma 366 17.3446937318 reducing max timestep prior to age target 366 1.1274050925647831D+08 (age_target - star_age)/age_sigma 367 17.0067729127 reducing max timestep prior to age target 367 1.1054402393224907D+08 (age_target - star_age)/age_sigma 368 16.6756105099 reducing max timestep prior to age target 368 1.0839146831450462D+08 (age_target - star_age)/age_sigma 369 16.3510713552 reducing max timestep prior to age target 369 1.0628196380911541D+08 370 7.190399 5607.560 -0.013970 -0.013970 1.000000 1.000000 0.363473 0.005227 0.240031 -1.525601 518 0 6.3154E+00 7.190399 0.018148 -42.847758 -1.635683 -99.000000 0.000000 0.616736 0.008600 0.016835 0.117489 5 4.4653E+09 2.166785 -0.013915 -99.000000 -99.000000 -6.897134 0.000000 0.000020 0.002011 0.019790 0.000E+00 max_dt rel_E_err 1.9183839162768606D-13 log_rel_run_E_err -10.2155350961535145 (age_target - star_age)/age_sigma 370 16.0330229837 reducing max timestep prior to age target 370 1.0421464939383316D+08 (age_target - star_age)/age_sigma 371 15.7213355795 reducing max timestep prior to age target 371 1.0218868126685715D+08 (age_target - star_age)/age_sigma 372 15.4158819234 reducing max timestep prior to age target 372 1.0020323250242043D+08 (age_target - star_age)/age_sigma 373 15.1165373405 reducing max timestep prior to age target 373 9.8257492713272095D+07 (age_target - star_age)/age_sigma 374 14.8231796492 reducing max timestep prior to age target 374 9.6350667719906807D+07 (age_target - star_age)/age_sigma 375 14.5356891118 reducing max timestep prior to age target 375 9.4481979226408958D+07 (age_target - star_age)/age_sigma 376 14.2539483850 reducing max timestep prior to age target 376 9.2650664502781868D+07 (age_target - star_age)/age_sigma 377 13.9778424729 reducing max timestep prior to age target 377 9.0855976073626518D+07 (age_target - star_age)/age_sigma 378 13.7072586789 reducing max timestep prior to age target 378 8.9097181413054466D+07 (age_target - star_age)/age_sigma 379 13.4420865609 reducing max timestep prior to age target 379 8.7373562645693779D+07 380 7.190741 5607.849 -0.013316 -0.013316 1.000000 1.000000 0.361886 0.005233 0.239905 -1.524745 518 0 6.2277E+00 7.190741 0.018430 -42.825882 -1.634577 -99.000000 0.000000 0.618323 0.008594 0.016827 0.117701 5 4.4838E+09 2.168147 -0.013261 -15.954590 -99.000000 -6.897569 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt rel_E_err 1.7477034010874601D-13 log_rel_run_E_err -10.2027994154200989 (age_target - star_age)/age_sigma 380 13.1822178852 reducing max timestep prior to age target 380 8.5684416253680229D+07 (age_target - star_age)/age_sigma 381 12.9275465830 reducing max timestep prior to age target 381 8.4029052789506912D+07 (age_target - star_age)/age_sigma 382 12.6779687069 reducing max timestep prior to age target 382 8.2406796594616890D+07 (age_target - star_age)/age_sigma 383 12.4333823883 reducing max timestep prior to age target 383 8.0816985523625374D+07 (age_target - star_age)/age_sigma 384 12.1936877960 reducing max timestep prior to age target 384 7.9258970674053192D+07 (age_target - star_age)/age_sigma 385 11.9587870956 reducing max timestep prior to age target 385 7.7732116121471405D+07 (age_target - star_age)/age_sigma 386 11.7285844092 reducing max timestep prior to age target 386 7.6235798659942627D+07 (age_target - star_age)/age_sigma 387 11.5029857766 reducing max timestep prior to age target 387 7.4769407547644615D+07 (age_target - star_age)/age_sigma 389 11.0608124565 reducing max timestep prior to age target 389 7.1895280967538834D+07 390 7.191022 5608.083 -0.012779 -0.012779 1.000000 1.000000 0.360583 0.005238 0.239801 -1.524042 518 0 6.1487E+00 7.191022 0.018662 -42.807911 -1.633667 -99.000000 0.000000 0.619625 0.008589 0.016821 0.117876 5 4.4990E+09 2.169266 -0.012724 -15.477469 -99.000000 -6.897927 0.000000 0.000020 0.002011 0.019793 0.000E+00 max_dt rel_E_err 1.9436439537382476D-13 log_rel_run_E_err -10.1902466389596675 (age_target - star_age)/age_sigma 390 10.8441475297 reducing max timestep prior to age target 390 7.0486958943287849D+07 (age_target - star_age)/age_sigma 391 10.6318159015 reducing max timestep prior to age target 391 6.9106803359520912D+07 (age_target - star_age)/age_sigma 392 10.4237309058 reducing max timestep prior to age target 392 6.7754250887430191D+07 (age_target - star_age)/age_sigma 393 10.2198076100 reducing max timestep prior to age target 393 6.6428749464780807D+07 (age_target - star_age)/age_sigma 394 10.0199627801 reducing max timestep prior to age target 394 6.5129758070585251D+07 (age_target - star_age)/age_sigma 395 9.8241148468 reducing max timestep prior to age target 395 6.3856746504272461D+07 (age_target - star_age)/age_sigma 396 9.6321838722 reducing max timestep prior to age target 396 6.2609195169286728D+07 (age_target - star_age)/age_sigma 397 9.4440915171 reducing max timestep prior to age target 397 6.1386594861000061D+07 (age_target - star_age)/age_sigma 398 9.2597610091 reducing max timestep prior to age target 398 6.0188446558878899D+07 (age_target - star_age)/age_sigma 399 9.0791171112 reducing max timestep prior to age target 399 5.9014261222800255D+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 5608.277 -0.012333 -0.012333 1.000000 1.000000 0.359499 0.005243 0.239714 -1.523457 518 0 6.0610E+00 7.191256 0.018855 -42.792963 -1.632909 -99.000000 0.000000 0.620707 0.008585 0.016815 0.118022 5 4.5116E+09 2.170198 -0.012278 -99.000000 -99.000000 -6.898225 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt rel_E_err 1.9222147295664475D-13 log_rel_run_E_err -10.1778963972663519 (age_target - star_age)/age_sigma 400 8.9020860913 reducing max timestep prior to age target 400 5.7863559593443871D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.7285956918 reducing max timestep prior to age target 401 5.6735871996674538D+07 (age_target - star_age)/age_sigma 402 8.5585751003 reducing max timestep prior to age target 402 5.5630738151840210D+07 (age_target - star_age)/age_sigma 403 8.3919549206 reducing max timestep prior to age target 403 5.4547706983901978D+07 (age_target - star_age)/age_sigma 404 8.2286671445 reducing max timestep prior to age target 404 5.3486336439323425D+07 (age_target - star_age)/age_sigma 405 8.0686451239 reducing max timestep prior to age target 405 5.2446193305636406D+07 (age_target - star_age)/age_sigma 406 7.9118235438 reducing max timestep prior to age target 406 5.1426853034623146D+07 (age_target - star_age)/age_sigma 407 7.7581383952 reducing max timestep prior to age target 407 5.0427899569029808D+07 (age_target - star_age)/age_sigma 408 7.6075269497 reducing max timestep prior to age target 408 4.9448925172748566D+07 (age_target - star_age)/age_sigma 409 7.4599277330 reducing max timestep prior to age target 409 4.8489530264392853D+07 410 7.191447 5608.435 -0.011968 -0.011968 1.000000 1.000000 0.358614 0.005246 0.239644 -1.522977 518 0 5.9732E+00 7.191447 0.019013 -42.780735 -1.632288 -99.000000 0.000000 0.621592 0.008582 0.016811 0.118141 3 4.5220E+09 2.170960 -0.011913 -15.255620 -99.000000 -6.898468 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt rel_E_err 1.8134405120587967D-13 log_rel_run_E_err -10.1660320462070235 (age_target - star_age)/age_sigma 410 7.3152805006 reducing max timestep prior to age target 410 4.7549323254204750D+07 (age_target - star_age)/age_sigma 411 7.1735262130 reducing max timestep prior to age target 411 4.6627920384220123D+07 (age_target - star_age)/age_sigma 412 7.0346070110 reducing max timestep prior to age target 412 4.5724945571635246D+07 (age_target - star_age)/age_sigma 413 6.8984661931 reducing max timestep prior to age target 413 4.4840030255302429D+07 (age_target - star_age)/age_sigma 414 6.7650481916 reducing max timestep prior to age target 414 4.3972813245295525D+07 (age_target - star_age)/age_sigma 415 6.6342985501 reducing max timestep prior to age target 415 4.3122940575489044D+07 (age_target - star_age)/age_sigma 416 6.5061639014 reducing max timestep prior to age target 416 4.2290065359078407D+07 (age_target - star_age)/age_sigma 417 6.3805919457 reducing max timestep prior to age target 417 4.1473847646996498D+07 (age_target - star_age)/age_sigma 418 6.2575314291 reducing max timestep prior to age target 418 4.0673954289155960D+07 (age_target - star_age)/age_sigma 419 6.1369321228 reducing max timestep prior to age target 419 3.9890058798471451D+07 420 7.191604 5608.563 -0.011669 -0.011669 1.000000 1.000000 0.357890 0.005249 0.239586 -1.522585 518 0 5.8855E+00 7.191604 0.019142 -42.770735 -1.631780 -99.000000 0.000000 0.622316 0.008579 0.016807 0.118239 3 4.5304E+09 2.171584 -0.011615 -15.477469 -99.000000 -6.898667 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.7984508675013036D-13 log_rel_run_E_err -10.1546335950061657 (age_target - star_age)/age_sigma 420 6.0187448027 reducing max timestep prior to age target 420 3.9121841217601776D+07 (age_target - star_age)/age_sigma 421 5.9029212290 reducing max timestep prior to age target 421 3.8368987988348961D+07 (age_target - star_age)/age_sigma 423 5.6759070245 reducing max timestep prior to age target 423 3.6893395659013748D+07 (age_target - star_age)/age_sigma 424 5.5646700643 reducing max timestep prior to age target 424 3.6170355417639732D+07 (age_target - star_age)/age_sigma 425 5.4556578432 reducing max timestep prior to age target 425 3.5461775981092453D+07 (age_target - star_age)/age_sigma 426 5.3488258667 reducing max timestep prior to age target 426 3.4767368133276939D+07 (age_target - star_age)/age_sigma 427 5.2441305296 reducing max timestep prior to age target 427 3.4086848442417145D+07 (age_target - star_age)/age_sigma 428 5.1415290993 reducing max timestep prior to age target 428 3.3419939145374298D+07 (age_target - star_age)/age_sigma 429 5.0409796976 reducing max timestep prior to age target 429 3.2766368034273148D+07 430 7.191734 5608.670 -0.011421 -0.011421 1.000000 1.000000 0.357288 0.005252 0.239539 -1.522259 518 0 5.8079E+00 7.191734 0.019250 -42.762425 -1.631357 -99.000000 0.000000 0.622917 0.008577 0.016804 0.118321 3 4.5374E+09 2.172102 -0.011367 -15.352530 -99.000000 -6.898832 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.7131585967870320D-13 log_rel_run_E_err -10.1433867760203018 (age_target - star_age)/age_sigma 430 4.9421369584 reducing max timestep prior to age target 430 3.2123890229679108D+07 (age_target - star_age)/age_sigma 431 4.8432942192 remaining steps and years until age target 431 49 3.1481412425086021D+07 (age_target - star_age)/age_sigma 432 4.7444514801 reducing max timestep prior to age target 432 3.0838934620491982D+07 (age_target - star_age)/age_sigma 433 4.6456087409 remaining steps and years until age target 433 47 3.0196456815898895D+07 (age_target - star_age)/age_sigma 434 4.5467660017 reducing max timestep prior to age target 434 2.9553979011304855D+07 (age_target - star_age)/age_sigma 435 4.4479232626 remaining steps and years until age target 435 45 2.8911501206711769D+07 (age_target - star_age)/age_sigma 436 4.3490805234 remaining steps and years until age target 436 44 2.8269023402118683D+07 (age_target - star_age)/age_sigma 437 4.2502377842 reducing max timestep prior to age target 437 2.7626545597524643D+07 (age_target - star_age)/age_sigma 438 4.1513950451 remaining steps and years until age target 438 42 2.6984067792931557D+07 (age_target - star_age)/age_sigma 439 4.0525523059 reducing max timestep prior to age target 439 2.6341589988337517D+07 440 7.191854 5608.769 -0.011194 -0.011194 1.000000 1.000000 0.356736 0.005254 0.239495 -1.521960 518 0 5.8079E+00 7.191854 0.019348 -42.754791 -1.630969 -99.000000 0.000000 0.623469 0.008575 0.016802 0.118396 3 4.5438E+09 2.172578 -0.011140 -99.000000 -99.000000 -6.898983 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt rel_E_err 1.9687931743166739D-13 log_rel_run_E_err -10.1324748613428763 (age_target - star_age)/age_sigma 440 3.9537095667 remaining steps and years until age target 440 40 2.5699112183744431D+07 (age_target - star_age)/age_sigma 441 3.8548668276 reducing max timestep prior to age target 441 2.5056634379150391D+07 (age_target - star_age)/age_sigma 442 3.7560240884 remaining steps and years until age target 442 38 2.4414156574557304D+07 (age_target - star_age)/age_sigma 443 3.6571813492 remaining steps and years until age target 443 37 2.3771678769964218D+07 (age_target - star_age)/age_sigma 444 3.5583386101 reducing max timestep prior to age target 444 2.3129200965370178D+07 (age_target - star_age)/age_sigma 445 3.4594958709 remaining steps and years until age target 445 35 2.2486723160777092D+07 (age_target - star_age)/age_sigma 446 3.3606531317 reducing max timestep prior to age target 446 2.1844245356183052D+07 (age_target - star_age)/age_sigma 447 3.2618103926 remaining steps and years until age target 447 33 2.1201767551589966D+07 (age_target - star_age)/age_sigma 448 3.1629676534 reducing max timestep prior to age target 448 2.0559289746995926D+07 (age_target - star_age)/age_sigma 449 3.0641249142 remaining steps and years until age target 449 31 1.9916811942402840D+07 450 7.191974 5608.867 -0.010966 -0.010966 1.000000 1.000000 0.356183 0.005256 0.239451 -1.521660 518 0 5.8079E+00 7.191974 0.019447 -42.747151 -1.630580 -99.000000 0.000000 0.624021 0.008573 0.016799 0.118471 3 4.5502E+09 2.173055 -0.010912 -15.352530 -99.000000 -6.899134 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.9495565579347542D-13 log_rel_run_E_err -10.1217697946958420 (age_target - star_age)/age_sigma 450 2.9652821750 reducing max timestep prior to age target 450 1.9274334137808800D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.8664394359 remaining steps and years until age target 451 29 1.8631856333215714D+07 (age_target - star_age)/age_sigma 452 2.7675966967 remaining steps and years until age target 452 28 1.7989378528622627D+07 (age_target - star_age)/age_sigma 453 2.6687539575 reducing max timestep prior to age target 453 1.7346900724028587D+07 (age_target - star_age)/age_sigma 454 2.5699112184 remaining steps and years until age target 454 26 1.6704422919435501D+07 (age_target - star_age)/age_sigma 455 2.4710684792 reducing max timestep prior to age target 455 1.6061945114841461D+07 (age_target - star_age)/age_sigma 456 2.3722257400 remaining steps and years until age target 456 24 1.5419467310248375D+07 (age_target - star_age)/age_sigma 457 2.2733830009 reducing max timestep prior to age target 457 1.4776989505654335D+07 (age_target - star_age)/age_sigma 458 2.1745402617 remaining steps and years until age target 458 22 1.4134511701061249D+07 (age_target - star_age)/age_sigma 459 2.0756975225 reducing max timestep prior to age target 459 1.3492033896467209D+07 460 7.192094 5608.965 -0.010738 -0.010738 1.000000 1.000000 0.355630 0.005258 0.239408 -1.521360 518 0 5.8079E+00 7.192094 0.019546 -42.739507 -1.630190 -99.000000 0.000000 0.624573 0.008571 0.016796 0.118546 3 4.5567E+09 2.173532 -0.010684 -99.000000 -99.000000 -6.899286 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt rel_E_err 1.8003547686951032D-13 log_rel_run_E_err -10.1112714726865640 (age_target - star_age)/age_sigma 460 1.9768547834 remaining steps and years until age target 460 20 1.2849556091874123D+07 (age_target - star_age)/age_sigma 461 1.8780120442 remaining steps and years until age target 461 19 1.2207078287281036D+07 (age_target - star_age)/age_sigma 462 1.7791693050 reducing max timestep prior to age target 462 1.1564600482686996D+07 (age_target - star_age)/age_sigma 463 1.6803265659 remaining steps and years until age target 463 17 1.0922122678093910D+07 (age_target - star_age)/age_sigma 464 1.5814838267 reducing max timestep prior to age target 464 1.0279644873499870D+07 (age_target - star_age)/age_sigma 465 1.4826410875 reducing max timestep prior to age target 465 9.6371670689058304D+06 (age_target - star_age)/age_sigma 466 1.3837983484 remaining steps and years until age target 466 14 8.9946892643127441D+06 (age_target - star_age)/age_sigma 467 1.2849556092 reducing max timestep prior to age target 467 8.3522114597187042D+06 (age_target - star_age)/age_sigma 468 1.1861128700 reducing max timestep prior to age target 468 7.7097336551246643D+06 (age_target - star_age)/age_sigma 469 1.0872701309 remaining steps and years until age target 469 11 7.0672558505315781D+06 470 7.192214 5609.063 -0.010510 -0.010510 1.000000 1.000000 0.355077 0.005261 0.239364 -1.521060 518 0 5.8079E+00 7.192214 0.019644 -42.731857 -1.629800 -99.000000 0.000000 0.625126 0.008569 0.016793 0.118621 3 4.5631E+09 2.174010 -0.010456 -99.000000 -99.000000 -6.899437 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.8088215897893265D-13 log_rel_run_E_err -10.1010565855272372 (age_target - star_age)/age_sigma 470 0.9884273917 reducing max timestep prior to age target 470 6.4247780459375381D+06 (age_target - star_age)/age_sigma 471 0.8895846525 remaining steps and years until age target 471 9 5.7823002413444519D+06 (age_target - star_age)/age_sigma 472 0.7907419133 reducing max timestep prior to age target 472 5.1398224367504120D+06 (age_target - star_age)/age_sigma 473 0.6918991742 reducing max timestep prior to age target 473 4.4973446321563721D+06 (age_target - star_age)/age_sigma 474 0.5930564350 reducing max timestep prior to age target 474 3.8548668275623322D+06 (age_target - star_age)/age_sigma 475 0.4942136958 reducing max timestep prior to age target 475 3.2123890229682922D+06 (age_target - star_age)/age_sigma 476 0.3953709567 remaining steps and years until age target 476 4 2.5699112183752060D+06 (age_target - star_age)/age_sigma 477 0.2965282175 reducing max timestep prior to age target 477 1.9274334137811661D+06 (age_target - star_age)/age_sigma 478 0.1976854783 remaining steps and years until age target 478 2 1.2849556091880798D+06 (age_target - star_age)/age_sigma 479 0.0988427392 model saved to final.mod save photos/x479 for model 479 480 7.192334 5609.161 -0.010282 -0.010282 1.000000 1.000000 0.354524 0.005263 0.239320 -1.520759 518 0 5.8079E+00 7.192334 0.019743 -42.724203 -1.629409 -99.000000 0.000000 0.625679 0.008566 0.016790 0.118697 3 4.5695E+09 2.174488 -0.010229 -15.352530 -99.000000 -6.899588 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9046370965600601D-13 log_rel_run_E_err -10.0910234060115052 chi^2 combined, chi^2 seismo, chi^2 spectro 480 334070.01 0.00 334070.01 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 varcontrol dt limit 284 max increase dt limit 3739 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 334070.01 0.00 334070.01 have reached age_target runtime (minutes), retries, steps 4.51 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 7.192334 5609.161 -0.010282 -0.010282 1.000000 1.000000 0.354524 0.005263 0.239320 -1.520759 518 0 5.8079E+00 7.192334 0.019743 -42.724203 -1.629409 -99.000000 0.000000 0.625679 0.008566 0.016790 0.118697 3 4.5695E+09 2.174488 -0.010229 -15.352530 -99.000000 -6.899588 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt rel_E_err 1.9046370965600601D-13 log_rel_run_E_err -10.0910234060115052 Teff 5609.1612653573 radius 1.0465091864 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 2163.1044152552 M_H -0.0068492724 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 46.9125328235 log_R 0.0197430450 delta_nu 132.3473491409 nu_max 2850.9967590666 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 334070.0056493596 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 "08c12e86" "gfortran" "13.3.0" "x86_64-linux-25.12.1" "CRMATH" "20260107" "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 3.3333875763343979E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187435746586971E+03 1.0010021152735951E+00 3.9075139536362746E-03 4.3499521226511708E-04 1.4131311804383409E+02 3.1134520391366050E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875763343979E+05 0 0 0 0 0 0 0 4 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 1 3.3351280955150846E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799356269539430E+03 1.0231387428323298E+00 -1.7398950154099558E-03 9.9345302525710756E-03 1.3680797539651249E+02 2.9640874280697080E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351280955150846E+05 0 0 0 0 0 0 0 3 3.3365601948940614E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355922679182013E+03 1.0099931800936883E+00 2.9465145847822460E-02 4.3184412502880526E-03 1.3947655830944021E+02 3.0536911602776722E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365601948940614E+05 0 0 0 0 0 0 0 7 3.3407000564935961E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091612653573256E+03 1.0465091863533991E+00 -6.8492724302305725E-03 1.9743044968140080E-02 1.3234734914088307E+02 2.8509967590666497E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407000564935961E+05 0 0 0 0 0 0 0 6 3.3418087888975878E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7204760560664736E+03 1.0373138422581170E+00 -3.3916276995163849E-02 1.5910173303060018E-02 1.3401816692947784E+02 2.8733950815251337E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418087888975878E+05 0 0 0 0 0 0 0 2 3.3467762476560613E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7648132271902086E+03 1.0621856308706739E+00 -1.2877173992562437E-02 2.6200422035306429E-02 1.2940090818201503E+02 2.7298470328750154E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3467762476560613E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data next_param_to_try initial_Y 2 2.6391892885122370D-01 -3.0405355743881679D-01 next_param_to_try initial_FeH 3 6.8733862817750471D-02 1.4556438029584121D-01 next_param_to_try alpha 4 2.1110973019798247D+00 3.7032433993274982D-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 5.954483 4776.101 -12.856103 -12.856103 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396254 407 0 -5.0000E+00 5.954475 0.953974 -99.000000 -14.253969 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 1.0000E-04 -1.867477 1.578935 -99.000000 -99.000000 -7.769938 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 20 5.954484 4639.807 -12.856112 -12.856112 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396254 407 0 -5.0000E+00 5.954476 0.953805 -99.000000 -14.253978 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 2.0000E-04 -1.867476 1.528302 -99.000000 -99.000000 -7.746618 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 30 5.954484 4575.156 -12.856116 -12.856116 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396254 404 0 -5.0000E+00 5.954477 0.953700 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 2 3.0000E-04 -1.867475 1.503718 -99.000000 -99.000000 -7.730900 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 40 5.954484 4536.836 -12.856119 -12.856119 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396254 405 0 -5.0000E+00 5.954477 0.953627 -99.000000 -14.253985 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 4.0000E-04 -1.867474 1.488961 -99.000000 -99.000000 -7.720264 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt 50 5.954485 4510.642 -12.856120 -12.856120 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396254 405 0 -5.0000E+00 5.954477 0.953572 -99.000000 -14.253986 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 2 5.0000E-04 -1.867474 1.478792 -99.000000 -99.000000 -7.712471 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt finished doing relax num steps relax_to_radiative_core 10 5.954486 4377.615 -12.856122 -12.856122 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396254 407 0 -2.2907E+00 5.954478 0.953126 -99.000000 -14.253988 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3 1.0230E-02 -1.867472 1.425896 -99.000000 -99.000000 -7.667075 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 10 3.9257247089402136D-01 20 5.954586 4370.961 -12.854790 -12.854790 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396250 401 0 7.1957E-01 5.954580 0.952967 -99.000000 -14.252655 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071336 3 1.0486E+01 -1.867319 1.422935 -99.000000 -99.000000 -7.664382 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase waiting for fully convective core to develop 20 1.9793107367567334D-01 30 6.002527 4405.734 -12.190059 -12.190059 1.000000 1.000000 0.700000 0.001010 0.279998 -6.240781 404 0 3.4671E+00 6.002527 0.904144 -99.000000 -13.587924 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3 7.8074E+03 -1.727998 1.339055 -99.000000 -99.000000 -7.618943 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 30 7.8128501055860222D-08 40 6.181569 4516.044 -9.818065 -9.818065 1.000000 1.000000 0.700000 0.001010 0.279977 -5.620218 416 0 4.0306E+00 6.181569 0.718825 -99.000000 -11.215924 -99.000000 0.000000 0.280000 0.009381 0.019981 0.071111 3 7.4524E+04 -1.190472 1.011376 -99.000000 -99.000000 -7.438674 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 40 7.8128500833815617D-08 50 6.359296 4568.246 -7.704782 -7.704782 1.000000 1.000000 0.700000 0.001010 0.279854 -5.004301 430 0 4.5445E+00 6.359296 0.536679 -99.000000 -9.102626 -99.000000 0.000000 0.280000 0.009381 0.019881 0.071123 3 2.9208E+05 -0.657055 0.667049 -99.000000 -99.000000 -7.239351 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 50 7.8128501055860222D-08 60 6.533265 4565.536 -5.838965 -5.838965 1.000000 1.000000 0.700000 0.001010 0.279523 -4.400732 447 0 5.0667E+00 6.533265 0.359534 -99.000000 -7.236765 -99.000000 0.000000 0.280000 0.009381 0.019663 0.071139 3 1.0115E+06 -0.134861 0.311729 -21.674160 -99.000000 -7.001416 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol relative mass of radiative core still tiny 60 7.8128501277904827D-08 finished relax to begin radiative core 66 1.2706644992736313D-02 finished doing relax_to_radiative_core set_initial_number_retries 0 set_uniform_initial_composition initial_h1 7.1682571766259784D-01 initial_h2 0.0000000000000000D+00 initial_he3 2.6391892885122371D-05 initial_he4 2.6389253695833859D-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 6.620778 4310.429 -4.905458 -4.905458 1.000000 1.000000 0.716826 0.000973 0.263919 -4.021468 457 0 -4.2921E+00 6.620778 0.262221 -99.000000 -6.303205 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071943 10 2.5704E-04 0.156042 0.017217 -20.169010 -99.000000 -6.903186 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7492377568285094D-13 log_rel_run_E_err -11.5658450870552727 20 6.620783 4339.886 -4.905462 -4.905462 1.000000 1.000000 0.716826 0.000973 0.263919 -4.021468 457 0 -3.5002E+00 6.620783 0.262275 -99.000000 -6.303210 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071943 7 1.8471E-03 0.156050 0.029157 -20.771070 -99.000000 -6.916447 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.5984671006383841D-13 log_rel_run_E_err -11.2724376474782471 30 6.620794 4342.693 -4.905459 -4.905459 1.000000 1.000000 0.716826 0.000973 0.263919 -4.021467 457 0 -2.7084E+00 6.620794 0.262330 -99.000000 -6.303207 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071942 2 1.1692E-02 0.156066 0.030391 -99.000000 -99.000000 -6.917742 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6654762769924842D-13 log_rel_run_E_err -11.0953182579272003 40 6.620798 4343.899 -4.905456 -4.905456 1.000000 1.000000 0.716826 0.000973 0.263919 -4.021467 457 0 -1.9166E+00 6.620798 0.262359 -99.000000 -6.303204 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071941 2 7.2651E-02 0.156072 0.030930 -99.000000 -99.000000 -6.918303 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6933967443014385D-13 log_rel_run_E_err -10.9691053033295987 50 6.620798 4343.977 -4.905456 -4.905456 1.000000 1.000000 0.716826 0.000973 0.263919 -4.021467 457 0 -1.1248E+00 6.620798 0.262361 -99.000000 -6.303203 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071941 2 4.5009E-01 0.156073 0.030965 -99.000000 -99.000000 -6.918339 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7399307428654636D-13 log_rel_run_E_err -10.8727211378882860 save LOGS/profile2.data for model 50 save photos/x050 for model 50 60 6.620799 4343.977 -4.905454 -4.905454 1.000000 1.000000 0.716826 0.000973 0.263919 -4.021466 457 0 -3.3299E-01 6.620799 0.262361 -99.000000 -6.303202 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071941 2 2.7871E+00 0.156074 0.030965 -99.000000 -99.000000 -6.918339 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6338319651989078D-13 log_rel_run_E_err -10.7921693153724725 70 6.620799 4343.976 -4.905446 -4.905446 1.000000 1.000000 0.716826 0.000973 0.263919 -4.021463 457 0 4.5882E-01 6.620799 0.262360 -99.000000 -6.303193 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071941 2 1.7257E+01 0.156076 0.030963 -20.771070 -99.000000 -6.918338 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7641215871061313D-13 log_rel_run_E_err -10.7252377737558042 80 6.620804 4343.970 -4.905392 -4.905392 1.000000 1.000000 0.716826 0.000973 0.263919 -4.021439 457 0 1.2506E+00 6.620804 0.262354 -99.000000 -6.303139 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071942 2 1.0685E+02 0.156094 0.030949 -20.470040 -99.000000 -6.918328 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.5667830618629180D-13 log_rel_run_E_err -10.6678263075848037 90 6.620835 4343.930 -4.905059 -4.905059 1.000000 1.000000 0.716826 0.000973 0.263919 -4.021292 457 0 2.0424E+00 6.620835 0.262319 -99.000000 -6.302807 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071943 2 6.6161E+02 0.156203 0.030864 -20.470040 -99.000000 -6.918269 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.6354349732600918D-13 log_rel_run_E_err -10.6179680098696867 __________________________________________________________________________________________________________________________________________________ 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 6.621023 4343.686 -4.903001 -4.903001 1.000000 1.000000 0.716826 0.000973 0.263919 -4.020382 457 0 2.8343E+00 6.621023 0.262104 -99.000000 -6.300748 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071949 2 4.0965E+03 0.156878 0.030334 -99.000000 -99.000000 -6.917903 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7605857024266869D-13 log_rel_run_E_err -10.5717656719340294 save LOGS/profile3.data for model 100 save photos/x100 for model 100 110 6.622177 4342.177 -4.890348 -4.890348 1.000000 1.000000 0.716826 0.000973 0.263919 -4.014766 457 0 3.6261E+00 6.622177 0.260777 -99.000000 -6.288095 -99.000000 0.000000 0.263919 0.009031 0.019255 0.071987 2 2.5364E+04 0.161034 0.027077 -99.000000 -99.000000 -6.915651 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7129878457649701D-13 log_rel_run_E_err -10.5315343714770933 120 6.628984 4333.099 -4.815354 -4.815354 1.000000 1.000000 0.716826 0.000973 0.263919 -3.980712 457 0 4.4179E+00 6.628984 0.252888 -99.000000 -6.213095 -99.000000 0.000000 0.263919 0.009031 0.019255 0.072236 3 1.5705E+05 0.185943 0.007664 -99.000000 -99.000000 -6.902156 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.3296790714598697D-13 log_rel_run_E_err -10.5010777199164131 130 6.661463 4286.997 -4.445664 -4.445664 1.000000 1.000000 0.716825 0.000973 0.263919 -3.791042 461 0 5.2097E+00 6.661463 0.213487 -99.000000 -5.843370 -99.000000 0.000000 0.263919 0.009031 0.019255 0.074093 4 9.7241E+05 0.316468 -0.089720 -99.000000 -99.000000 -6.833173 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase rel_E_err 2.7646506244579757D-13 log_rel_run_E_err -10.3146961491003868 140 6.748466 4206.050 -3.434239 -3.434239 1.000000 1.000000 0.716823 0.000973 0.263918 -3.095897 467 0 5.8535E+00 6.748466 0.109561 -99.000000 -4.831746 -99.000000 0.000000 0.263922 0.009031 0.019255 0.084296 4 5.4356E+06 0.745555 -0.330687 -99.000000 -99.000000 -6.665015 0.000000 0.003319 0.002007 0.019256 0.000E+00 varcontrol rel_E_err 2.4983902923121282D-13 log_rel_run_E_err -10.4031852928814317 150 6.866963 4509.783 -2.254965 -2.254965 1.000000 1.000000 0.716808 0.000973 0.263913 -2.217158 475 0 6.0078E+00 6.866963 0.034616 -99.000000 -3.651760 -99.000000 0.000000 0.263936 0.009032 0.019255 0.097895 4 1.5031E+07 1.295895 -0.359452 -99.000000 -99.000000 -6.711455 0.000000 0.003319 0.002007 0.019256 0.000E+00 lgRho_cntr rel_E_err 1.8999110714413641D-13 log_rel_run_E_err -10.4229827462277882 save LOGS/profile4.data for model 150 save photos/x150 for model 150 160 7.044024 5371.920 -0.828591 -0.828591 1.000000 1.000000 0.716634 0.000988 0.263890 -1.540236 487 0 6.1342E+00 7.044024 0.006729 -51.942043 -2.266543 -99.000000 0.000000 0.264107 0.009032 0.019254 0.099001 5 2.7344E+07 1.841540 -0.111331 -99.000000 -99.000000 -6.840562 0.000000 0.003306 0.002008 0.019259 0.000E+00 lgRho_cntr rel_E_err 1.7511295348708431D-13 log_rel_run_E_err -10.5614751698586051 (age_target - star_age)/age_sigma 168 694.7583967865 reducing max timestep prior to age target 168 4.5159295791119537D+09 170 7.126229 5532.257 -0.183116 -0.183116 1.000000 1.000000 0.714529 0.003136 0.263666 -1.718241 504 0 6.9139E+00 7.126229 -0.054497 -47.499277 -1.785196 -99.000000 0.000000 0.265901 0.009034 0.019240 0.085398 5 6.8607E+07 1.893086 -0.182691 -15.653560 -99.000000 -6.800238 0.000000 0.001466 0.002008 0.019570 0.000E+00 max increase rel_E_err 2.0022326211052495D-13 log_rel_run_E_err -10.5874811321491791 (age_target - star_age)/age_sigma 176 677.4093136600 reducing max timestep prior to age target 176 4.4031605387897100D+09 (age_target - star_age)/age_sigma 178 667.4623776875 reducing max timestep prior to age target 178 4.3385054549689941D+09 180 7.126415 5551.413 -0.166932 -0.166932 1.000000 1.000000 0.698244 0.004841 0.262165 -1.670434 498 0 7.7057E+00 7.126415 -0.049595 -47.370317 -1.824098 -99.000000 0.000000 0.281908 0.009048 0.019144 0.087797 10 3.2410E+08 1.917054 -0.166883 -99.000000 -99.000000 -6.809724 0.000000 0.000014 0.002011 0.019848 0.000E+00 max increase rel_E_err 1.8138610782246098D-13 log_rel_run_E_err -10.5585967288780012 (age_target - star_age)/age_sigma 180 653.1387898873 reducing max timestep prior to age target 180 4.2454021342671623D+09 (age_target - star_age)/age_sigma 182 632.5128234548 reducing max timestep prior to age target 182 4.1113333524565248D+09 (age_target - star_age)/age_sigma 183 620.1938795972 reducing max timestep prior to age target 183 4.0312602173815455D+09 (age_target - star_age)/age_sigma 184 608.1213146166 reducing max timestep prior to age target 184 3.9527885450080652D+09 (age_target - star_age)/age_sigma 185 596.2902009357 reducing max timestep prior to age target 185 3.8758863060820551D+09 (age_target - star_age)/age_sigma 186 584.6957095284 reducing max timestep prior to age target 186 3.8005221119345651D+09 (age_target - star_age)/age_sigma 187 573.3331079492 reducing max timestep prior to age target 187 3.7266652016700249D+09 (age_target - star_age)/age_sigma 188 562.1977584017 reducing max timestep prior to age target 188 3.6542854296107750D+09 (age_target - star_age)/age_sigma 189 551.2851158450 reducing max timestep prior to age target 189 3.5833532529927101D+09 190 7.134232 5571.055 -0.146158 -0.146158 1.000000 1.000000 0.645985 0.004879 0.258006 -1.650004 501 0 7.8421E+00 7.134232 -0.042265 -46.721315 -1.810770 -99.000000 0.000000 0.334063 0.009083 0.018877 0.091244 10 1.0557E+09 1.950622 -0.146087 -99.000000 -99.000000 -6.822737 0.000000 0.000014 0.002022 0.019952 0.000E+00 max_dt rel_E_err 1.8846547725869299D-13 log_rel_run_E_err -10.5317395737329296 (age_target - star_age)/age_sigma 190 540.5907261395 reducing max timestep prior to age target 190 3.5138397199070072D+09 (age_target - star_age)/age_sigma 191 530.1102242282 reducing max timestep prior to age target 191 3.4457164574830179D+09 (age_target - star_age)/age_sigma 192 519.8393323550 reducing max timestep prior to age target 192 3.3789556603075085D+09 (age_target - star_age)/age_sigma 193 509.7738583193 reducing max timestep prior to age target 193 3.3135300790755091D+09 (age_target - star_age)/age_sigma 194 499.9096937643 reducing max timestep prior to age target 194 3.2494130094681501D+09 (age_target - star_age)/age_sigma 195 490.2428125005 reducing max timestep prior to age target 195 3.1865782812529383D+09 (age_target - star_age)/age_sigma 196 480.7692688619 reducing max timestep prior to age target 196 3.1250002476020303D+09 (age_target - star_age)/age_sigma 197 471.4851960960 reducing max timestep prior to age target 197 3.0646537746241407D+09 (age_target - star_age)/age_sigma 198 462.3868047855 reducing max timestep prior to age target 198 3.0055142311058087D+09 (age_target - star_age)/age_sigma 199 453.4703813012 reducing max timestep prior to age target 199 2.9475574784578438D+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 7.141534 5586.989 -0.128877 -0.128877 1.000000 1.000000 0.600753 0.004916 0.254476 -1.632398 504 0 7.7543E+00 7.141534 -0.036105 -46.154498 -1.791989 -99.000000 0.000000 0.379209 0.009106 0.018651 0.094484 10 1.6787E+09 1.980793 -0.128804 -99.000000 -99.000000 -6.834067 0.000000 0.000015 0.002030 0.020038 0.000E+00 max_dt rel_E_err 2.0007750253107280D-13 log_rel_run_E_err -10.5062644704008079 (age_target - star_age)/age_sigma 200 444.7322862866 reducing max timestep prior to age target 200 2.8907598608628378D+09 save LOGS/profile5.data for model 200 save photos/x200 for model 200 (age_target - star_age)/age_sigma 201 436.1689531723 reducing max timestep prior to age target 201 2.8350981956197319D+09 (age_target - star_age)/age_sigma 202 427.7768867202 reducing max timestep prior to age target 202 2.7805497636814880D+09 (age_target - star_age)/age_sigma 204 411.3284364742 reducing max timestep prior to age target 204 2.6736348370825310D+09 (age_target - star_age)/age_sigma 205 403.2686958537 reducing max timestep prior to age target 205 2.6212465230490417D+09 (age_target - star_age)/age_sigma 206 395.3701500456 reducing max timestep prior to age target 206 2.5699059752962217D+09 (age_target - star_age)/age_sigma 207 387.6295751536 reducing max timestep prior to age target 207 2.5195922384984589D+09 (age_target - star_age)/age_sigma 208 380.0438117595 reducing max timestep prior to age target 208 2.4702847764366512D+09 (age_target - star_age)/age_sigma 209 372.6097636332 reducing max timestep prior to age target 209 2.4219634636160793D+09 210 7.147954 5599.925 -0.114208 -0.114208 1.000000 1.000000 0.562787 0.004952 0.251546 -1.616584 505 0 7.6754E+00 7.147954 -0.030779 -45.674949 -1.774410 -99.000000 0.000000 0.417106 0.009118 0.018462 0.097461 10 2.1949E+09 2.007237 -0.114136 -99.000000 -99.000000 -6.843880 0.000000 0.000016 0.002037 0.020107 0.000E+00 max_dt rel_E_err 2.1018489294441412D-13 log_rel_run_E_err -10.4818211695393373 (age_target - star_age)/age_sigma 210 365.3243964695 reducing max timestep prior to age target 210 2.3746085770519195D+09 (age_target - star_age)/age_sigma 211 358.1847366491 reducing max timestep prior to age target 211 2.3282007882190423D+09 (age_target - star_age)/age_sigma 212 351.1878700250 reducing max timestep prior to age target 212 2.2827211551628232D+09 (age_target - star_age)/age_sigma 213 344.3309407335 reducing max timestep prior to age target 213 2.2381511147677279D+09 (age_target - star_age)/age_sigma 214 337.6111500278 reducing max timestep prior to age target 214 2.1944724751805348D+09 (age_target - star_age)/age_sigma 215 331.0257551362 reducing max timestep prior to age target 215 2.1516674083850856D+09 (age_target - star_age)/age_sigma 216 324.5720681424 reducing max timestep prior to age target 216 2.1097184429255457D+09 (age_target - star_age)/age_sigma 217 318.2474548885 reducing max timestep prior to age target 217 2.0686084567751961D+09 (age_target - star_age)/age_sigma 218 312.0493338997 reducing max timestep prior to age target 218 2.0283206703478537D+09 (age_target - star_age)/age_sigma 219 305.9751753306 reducing max timestep prior to age target 219 1.9888386396490579D+09 220 7.153510 5610.364 -0.101828 -0.101828 1.000000 1.000000 0.531202 0.004986 0.249154 -1.602710 506 0 7.5876E+00 7.153510 -0.026207 -45.271970 -1.758745 -99.000000 0.000000 0.448636 0.009121 0.018307 0.100138 10 2.6194E+09 2.030032 -0.101756 -99.000000 -99.000000 -6.852281 0.000000 0.000016 0.002043 0.020162 0.000E+00 max_dt rel_E_err 1.9195071112690269D-13 log_rel_run_E_err -10.4589063051029090 (age_target - star_age)/age_sigma 220 300.0224999330 reducing max timestep prior to age target 220 1.9501462495642381D+09 (age_target - star_age)/age_sigma 221 294.1888780432 reducing max timestep prior to age target 221 1.9122277072811151D+09 (age_target - star_age)/age_sigma 222 288.4719285913 reducing max timestep prior to age target 222 1.8750675358436542D+09 (age_target - star_age)/age_sigma 223 282.8693181285 reducing max timestep prior to age target 223 1.8386505678349428D+09 (age_target - star_age)/age_sigma 224 277.3787598748 reducing max timestep prior to age target 224 1.8029619391864052D+09 (age_target - star_age)/age_sigma 225 271.9980127863 reducing max timestep prior to age target 225 1.7679870831108384D+09 (age_target - star_age)/age_sigma 226 266.7248806395 reducing max timestep prior to age target 226 1.7337117241567831D+09 (age_target - star_age)/age_sigma 227 261.5572111357 reducing max timestep prior to age target 227 1.7001218723818092D+09 (age_target - star_age)/age_sigma 228 256.4928950219 reducing max timestep prior to age target 228 1.6672038176423345D+09 (age_target - star_age)/age_sigma 229 251.5298652304 reducing max timestep prior to age target 229 1.6349441239976492D+09 230 7.158252 5618.743 -0.091477 -0.091477 1.000000 1.000000 0.505128 0.005019 0.247220 -1.590740 507 0 7.4999E+00 7.158252 -0.022328 -44.935691 -1.745109 -99.000000 0.000000 0.474667 0.009117 0.018182 0.102501 10 2.9662E+09 2.049435 -0.091406 -99.000000 -99.000000 -6.859360 0.000000 0.000017 0.002048 0.020205 0.000E+00 max_dt rel_E_err 1.8683997876483405D-13 log_rel_run_E_err -10.4365556721512043 (age_target - star_age)/age_sigma 230 246.6660960347 reducing max timestep prior to age target 230 1.6033296242258573D+09 (age_target - star_age)/age_sigma 231 241.8996022230 reducing max timestep prior to age target 231 1.5723474144495020D+09 (age_target - star_age)/age_sigma 232 237.2284382875 reducing max timestep prior to age target 232 1.5419848488686733D+09 (age_target - star_age)/age_sigma 233 232.6506976307 reducing max timestep prior to age target 233 1.5122295345994616D+09 (age_target - star_age)/age_sigma 234 228.1645117870 reducing max timestep prior to age target 234 1.4830693266156335D+09 (age_target - star_age)/age_sigma 235 223.7680496602 reducing max timestep prior to age target 235 1.4544923227914824D+09 (age_target - star_age)/age_sigma 236 219.4595167760 reducing max timestep prior to age target 236 1.4264868590438142D+09 (age_target - star_age)/age_sigma 237 215.2371545494 reducing max timestep prior to age target 237 1.3990415045710993D+09 (age_target - star_age)/age_sigma 239 206.9613245853 reducing max timestep prior to age target 239 1.3452486098045783D+09 240 7.162288 5625.467 -0.082825 -0.082825 1.000000 1.000000 0.483547 0.005049 0.245623 -1.580481 507 0 7.4209E+00 7.162288 -0.019042 -44.654443 -1.733331 -99.000000 0.000000 0.496213 0.009109 0.018078 0.104572 10 3.2506E+09 2.065900 -0.082756 -99.000000 -99.000000 -6.865327 0.000000 0.000017 0.002052 0.020239 0.000E+00 max_dt rel_E_err 1.9454707981290434D-13 log_rel_run_E_err -10.4154136750198756 (age_target - star_age)/age_sigma 240 202.9061679029 reducing max timestep prior to age target 240 1.3188900913689833D+09 (age_target - star_age)/age_sigma 241 198.9321143542 reducing max timestep prior to age target 241 1.2930587433020997D+09 (age_target - star_age)/age_sigma 242 195.0375418764 reducing max timestep prior to age target 242 1.2677440221965537D+09 (age_target - star_age)/age_sigma 243 191.2208608482 reducing max timestep prior to age target 243 1.2429355955131187D+09 (age_target - star_age)/age_sigma 244 187.4805134405 reducing max timestep prior to age target 244 1.2186233373633528D+09 (age_target - star_age)/age_sigma 245 183.8149729810 reducing max timestep prior to age target 245 1.1947973243765821D+09 (age_target - star_age)/age_sigma 246 180.2227433307 reducing max timestep prior to age target 246 1.1714478316495471D+09 (age_target - star_age)/age_sigma 247 176.7023582734 reducing max timestep prior to age target 247 1.1485653287770524D+09 (age_target - star_age)/age_sigma 248 173.2523809172 reducing max timestep prior to age target 248 1.1261404759620070D+09 (age_target - star_age)/age_sigma 249 169.8714031082 reducing max timestep prior to age target 249 1.1041641202032633D+09 250 7.165741 5630.934 -0.075524 -0.075524 1.000000 1.000000 0.465478 0.005078 0.244326 -1.571653 507 0 7.3332E+00 7.165741 -0.016236 -44.416838 -1.723113 -99.000000 0.000000 0.514255 0.009098 0.017993 0.106391 10 3.4869E+09 2.079957 -0.075456 -99.000000 -99.000000 -6.870370 0.000000 0.000017 0.002055 0.020267 0.000E+00 max_dt rel_E_err 1.7467971064696354D-13 log_rel_run_E_err -10.3956632803700604 (age_target - star_age)/age_sigma 250 166.5580448553 reducing max timestep prior to age target 250 1.0826272915596943D+09 save LOGS/profile6.data for model 250 save photos/x250 for model 250 (age_target - star_age)/age_sigma 251 163.3109537675 reducing max timestep prior to age target 251 1.0615211994889970D+09 (age_target - star_age)/age_sigma 252 160.1288045015 reducing max timestep prior to age target 252 1.0408372292597132D+09 (age_target - star_age)/age_sigma 253 157.0102982208 reducing max timestep prior to age target 253 1.0205669384350152D+09 (age_target - star_age)/age_sigma 254 153.9541620657 reducing max timestep prior to age target 254 1.0007020534268112D+09 (age_target - star_age)/age_sigma 255 150.9591486337 reducing max timestep prior to age target 255 9.8123446611877108D+08 (age_target - star_age)/age_sigma 256 148.0240354703 reducing max timestep prior to age target 256 9.6215623055689192D+08 (age_target - star_age)/age_sigma 257 145.1476245702 reducing max timestep prior to age target 257 9.4345955970625019D+08 (age_target - star_age)/age_sigma 258 142.3287418881 reducing max timestep prior to age target 258 9.2513682227262163D+08 (age_target - star_age)/age_sigma 259 139.5662368596 reducing max timestep prior to age target 259 9.0718053958766556D+08 260 7.168636 5635.320 -0.069471 -0.069471 1.000000 1.000000 0.450611 0.005105 0.243237 -1.564224 509 0 7.2454E+00 7.168636 -0.013886 -44.219786 -1.714445 -99.000000 0.000000 0.529101 0.009085 0.017922 0.107951 10 3.6799E+09 2.091716 -0.069404 -99.000000 -99.000000 -6.874585 0.000000 0.000018 0.002057 0.020288 0.000E+00 max_dt rel_E_err 1.9346012851101447D-13 log_rel_run_E_err -10.3760309902727492 (age_target - star_age)/age_sigma 260 136.8589819318 reducing max timestep prior to age target 260 8.8958338255640841D+08 (age_target - star_age)/age_sigma 261 134.2058721024 reducing max timestep prior to age target 261 8.7233816866577625D+08 (age_target - star_age)/age_sigma 262 131.6058244697 reducing max timestep prior to age target 262 8.5543785905295706D+08 (age_target - star_age)/age_sigma 263 129.0577777896 reducing max timestep prior to age target 263 8.3887555563239431D+08 (age_target - star_age)/age_sigma 264 126.5606920431 reducing max timestep prior to age target 264 8.2264449828024292D+08 (age_target - star_age)/age_sigma 265 124.1135480116 reducing max timestep prior to age target 265 8.0673806207513428D+08 (age_target - star_age)/age_sigma 266 121.7153468606 reducing max timestep prior to age target 266 7.9114975459412766D+08 (age_target - star_age)/age_sigma 267 119.3651097327 reducing max timestep prior to age target 267 7.7587321326274157D+08 (age_target - star_age)/age_sigma 268 117.0618773474 reducing max timestep prior to age target 268 7.6090220275798273D+08 (age_target - star_age)/age_sigma 269 114.8047096097 reducing max timestep prior to age target 269 7.4623061246331930D+08 270 7.171068 5638.833 -0.064478 -0.064478 1.000000 1.000000 0.438389 0.005129 0.242369 -1.557969 507 0 7.1577E+00 7.171068 -0.011931 -44.056860 -1.707154 -99.000000 0.000000 0.541306 0.009072 0.017866 0.109277 10 3.8376E+09 2.101554 -0.064412 -99.000000 -99.000000 -6.878062 0.000000 0.000018 0.002059 0.020305 0.000E+00 max_dt rel_E_err 1.8275321414281974D-13 log_rel_run_E_err -10.3575397191158061 (age_target - star_age)/age_sigma 270 112.5926852269 reducing max timestep prior to age target 270 7.3185245397454929D+08 (age_target - star_age)/age_sigma 271 110.4249013316 reducing max timestep prior to age target 271 7.1776185865555477D+08 (age_target - star_age)/age_sigma 272 108.3004731143 reducing max timestep prior to age target 272 7.0395307524293947D+08 (age_target - star_age)/age_sigma 274 104.1365938083 reducing max timestep prior to age target 274 6.7688785975421524D+08 (age_target - star_age)/age_sigma 275 102.0962929484 reducing max timestep prior to age target 275 6.6362590416473961D+08 (age_target - star_age)/age_sigma 276 100.0967981057 reducing max timestep prior to age target 276 6.5062918768705368D+08 (age_target - star_age)/age_sigma 277 98.1372931598 reducing max timestep prior to age target 277 6.3789240553892136D+08 (age_target - star_age)/age_sigma 278 96.2169783129 reducing max timestep prior to age target 278 6.2541035903375196D+08 (age_target - star_age)/age_sigma 279 94.3350697629 reducing max timestep prior to age target 279 6.1317795345868635D+08 280 7.173234 5641.734 -0.060297 -0.060297 1.000000 1.000000 0.428201 0.005150 0.241660 -1.552568 506 0 7.0787E+00 7.173234 -0.010288 -43.919611 -1.700970 -99.000000 0.000000 0.551481 0.009059 0.017819 0.110404 6 3.9683E+09 2.110064 -0.060232 -99.000000 -99.000000 -6.880978 0.000000 0.000018 0.002061 0.020319 0.000E+00 max_dt rel_E_err 1.8671439524739164D-13 log_rel_run_E_err -10.3400683229271309 (age_target - star_age)/age_sigma 280 92.4907993839 reducing max timestep prior to age target 280 6.0119019599512148D+08 (age_target - star_age)/age_sigma 281 90.6834144124 reducing max timestep prior to age target 281 5.8944219368082809D+08 (age_target - star_age)/age_sigma 282 88.9121771404 reducing max timestep prior to age target 282 5.7792915141282034D+08 (age_target - star_age)/age_sigma 283 87.1763646139 reducing max timestep prior to age target 283 5.6664636999017286D+08 (age_target - star_age)/age_sigma 284 85.4752683378 reducing max timestep prior to age target 284 5.5558924419597816D+08 (age_target - star_age)/age_sigma 285 83.8081939873 reducing max timestep prior to age target 285 5.4475326091766787D+08 (age_target - star_age)/age_sigma 286 82.1744611238 reducing max timestep prior to age target 286 5.3413399730492353D+08 (age_target - star_age)/age_sigma 287 80.5734029176 reducing max timestep prior to age target 287 5.2372711896443415D+08 (age_target - star_age)/age_sigma 288 79.0043658755 reducing max timestep prior to age target 288 5.1352837819075489D+08 (age_target - star_age)/age_sigma 289 77.4667095742 reducing max timestep prior to age target 289 5.0353361223254871D+08 290 7.174935 5644.059 -0.056839 -0.056839 1.000000 1.000000 0.419775 0.005169 0.241062 -1.548139 506 0 6.9910E+00 7.174935 -0.008918 -43.806269 -1.695762 -99.000000 0.000000 0.559895 0.009047 0.017780 0.111371 5 4.0758E+09 2.116967 -0.056775 -15.954590 -99.000000 -6.883388 0.000000 0.000018 0.002063 0.020330 0.000E+00 max_dt rel_E_err 1.9413575954866748D-13 log_rel_run_E_err -10.3228613931475017 (age_target - star_age)/age_sigma 290 75.9598063990 reducing max timestep prior to age target 290 4.9373874159350681D+08 (age_target - star_age)/age_sigma 291 74.4830412873 reducing max timestep prior to age target 291 4.8413976836724567D+08 (age_target - star_age)/age_sigma 292 73.0358114778 reducing max timestep prior to age target 292 4.7473277460550976D+08 (age_target - star_age)/age_sigma 293 71.6175262645 reducing max timestep prior to age target 293 4.6551392071900845D+08 (age_target - star_age)/age_sigma 294 70.2276067554 reducing max timestep prior to age target 294 4.5647944391023684D+08 (age_target - star_age)/age_sigma 295 68.8654856366 reducing max timestep prior to age target 295 4.4762565663764143D+08 (age_target - star_age)/age_sigma 296 67.5306069401 reducing max timestep prior to age target 296 4.3894894511049747D+08 (age_target - star_age)/age_sigma 297 66.2224258175 reducing max timestep prior to age target 297 4.3044576781389666D+08 (age_target - star_age)/age_sigma 298 64.9404083174 reducing max timestep prior to age target 298 4.2211265406322765D+08 (age_target - star_age)/age_sigma 299 63.6840311673 reducing max timestep prior to age target 299 4.1394620258757210D+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 7.176343 5645.936 -0.053994 -0.053994 1.000000 1.000000 0.412866 0.005186 0.240570 -1.544468 507 0 6.9033E+00 7.176343 -0.007785 -43.712919 -1.691432 -99.000000 0.000000 0.566796 0.009035 0.017748 0.112179 5 4.1636E+09 2.122675 -0.053932 -99.000000 -99.000000 -6.885377 0.000000 0.000019 0.002064 0.020338 0.000E+00 max_dt rel_E_err 1.8287404561227840D-13 log_rel_run_E_err -10.3063495125357427 (age_target - star_age)/age_sigma 300 62.4527815602 reducing max timestep prior to age target 300 4.0594308014142990D+08 save LOGS/profile7.data for model 300 save photos/x300 for model 300 (age_target - star_age)/age_sigma 301 61.2461569453 reducing max timestep prior to age target 301 3.9810002014421034D+08 (age_target - star_age)/age_sigma 302 60.0636648226 reducing max timestep prior to age target 302 3.9041382134693480D+08 (age_target - star_age)/age_sigma 303 58.9048225424 reducing max timestep prior to age target 303 3.8288134652560520D+08 (age_target - star_age)/age_sigma 304 57.7691571078 reducing max timestep prior to age target 304 3.7549952120070171D+08 (age_target - star_age)/age_sigma 305 56.6562049819 reducing max timestep prior to age target 305 3.6826533238229656D+08 (age_target - star_age)/age_sigma 306 55.5655118985 reducing max timestep prior to age target 306 3.6117582734025955D+08 (age_target - star_age)/age_sigma 307 54.4966326768 reducing max timestep prior to age target 307 3.5422811239906359D+08 (age_target - star_age)/age_sigma 309 52.4016294022 reducing max timestep prior to age target 309 3.4061059111431885D+08 310 7.177510 5647.457 -0.051652 -0.051652 1.000000 1.000000 0.407181 0.005200 0.240171 -1.541423 507 0 6.8243E+00 7.177510 -0.006848 -43.635849 -1.687829 -99.000000 0.000000 0.572474 0.009025 0.017722 0.112856 5 4.2356E+09 2.127402 -0.051590 -15.477469 -99.000000 -6.887015 0.000000 0.000019 0.002065 0.020345 0.000E+00 max_dt rel_E_err 1.7829611942485593D-13 log_rel_run_E_err -10.2902489257651766 (age_target - star_age)/age_sigma 310 51.3750777977 reducing max timestep prior to age target 310 3.3393800568479443D+08 (age_target - star_age)/age_sigma 311 50.3690572252 reducing max timestep prior to age target 311 3.2739887196386003D+08 (age_target - star_age)/age_sigma 312 49.3831570642 reducing max timestep prior to age target 312 3.2099052091734409D+08 (age_target - star_age)/age_sigma 313 48.4169749064 reducing max timestep prior to age target 313 3.1471033689175892D+08 (age_target - star_age)/age_sigma 314 47.4701163918 reducing max timestep prior to age target 314 3.0855575654668522D+08 (age_target - star_age)/age_sigma 315 46.5421950475 reducing max timestep prior to age target 315 3.0252426780851316D+08 (age_target - star_age)/age_sigma 316 45.6328321300 reducing max timestep prior to age target 316 2.9661340884510469D+08 (age_target - star_age)/age_sigma 317 44.7416564709 reducing max timestep prior to age target 317 2.9082076706096363D+08 (age_target - star_age)/age_sigma 318 43.8683043250 reducing max timestep prior to age target 318 2.8514397811250591D+08 (age_target - star_age)/age_sigma 319 43.0124192220 reducing max timestep prior to age target 319 2.7958072494301701D+08 320 7.178488 5648.708 -0.049698 -0.049698 1.000000 1.000000 0.402447 0.005212 0.239844 -1.538869 507 0 6.7366E+00 7.178488 -0.006063 -43.571472 -1.684800 -99.000000 0.000000 0.577202 0.009016 0.017701 0.113427 5 4.2954E+09 2.131361 -0.049637 -15.352530 -99.000000 -6.888381 0.000000 0.000019 0.002065 0.020351 0.000E+00 max_dt rel_E_err 1.6471312995092118D-13 log_rel_run_E_err -10.2749040579672908 (age_target - star_age)/age_sigma 320 42.1736518211 reducing max timestep prior to age target 320 2.7412873683691883D+08 (age_target - star_age)/age_sigma 321 41.3516597681 reducing max timestep prior to age target 321 2.6878578849294186D+08 (age_target - star_age)/age_sigma 322 40.5461075563 reducing max timestep prior to age target 322 2.6354969911584377D+08 (age_target - star_age)/age_sigma 323 39.7566663887 reducing max timestep prior to age target 323 2.5841833152628899D+08 (age_target - star_age)/age_sigma 324 38.9830140444 reducing max timestep prior to age target 324 2.5338959128852463D+08 (age_target - star_age)/age_sigma 325 38.2248347470 reducing max timestep prior to age target 325 2.4846142585551643D+08 (age_target - star_age)/age_sigma 326 37.4818190356 reducing max timestep prior to age target 326 2.4363182373116779D+08 (age_target - star_age)/age_sigma 327 36.7536636384 reducing max timestep prior to age target 327 2.3889881364930534D+08 (age_target - star_age)/age_sigma 328 36.0400713491 reducing max timestep prior to age target 328 2.3426046376908112D+08 (age_target - star_age)/age_sigma 329 35.3407509056 reducing max timestep prior to age target 329 2.2971488088646126D+08 330 7.179294 5649.722 -0.048096 -0.048096 1.000000 1.000000 0.398570 0.005222 0.239577 -1.536767 507 0 6.6488E+00 7.179294 -0.005419 -43.518620 -1.682301 -99.000000 0.000000 0.581075 0.009008 0.017683 0.113900 5 4.3442E+09 2.134618 -0.048036 -15.653560 -99.000000 -6.889500 0.000000 0.000019 0.002066 0.020355 0.000E+00 max_dt rel_E_err 1.9365692756291012D-13 log_rel_run_E_err -10.2600909103341813 (age_target - star_age)/age_sigma 330 34.6554168710 reducing max timestep prior to age target 330 2.2526020966149330D+08 (age_target - star_age)/age_sigma 331 33.9837895171 reducing max timestep prior to age target 331 2.2089463186102486D+08 (age_target - star_age)/age_sigma 332 33.3255947102 reducing max timestep prior to age target 332 2.1661636561656570D+08 (age_target - star_age)/age_sigma 333 32.6805637995 reducing max timestep prior to age target 333 2.1242366469699574D+08 (age_target - star_age)/age_sigma 334 32.0484335070 reducing max timestep prior to age target 334 2.0831481779581738D+08 (age_target - star_age)/age_sigma 335 31.4289458204 reducing max timestep prior to age target 335 2.0428814783266354D+08 (age_target - star_age)/age_sigma 336 30.8218478875 reducing max timestep prior to age target 336 2.0034201126877117D+08 (age_target - star_age)/age_sigma 337 30.2268919133 reducing max timestep prior to age target 337 1.9647479743615723D+08 (age_target - star_age)/age_sigma 338 29.6438350585 reducing max timestep prior to age target 338 1.9268492788019562D+08 (age_target - star_age)/age_sigma 339 29.0724393408 reducing max timestep prior to age target 339 1.8897085571535301D+08 340 7.179955 5650.545 -0.046784 -0.046784 1.000000 1.000000 0.395397 0.005231 0.239361 -1.535037 507 0 6.5611E+00 7.179955 -0.004890 -43.475282 -1.680242 -99.000000 0.000000 0.584244 0.009001 0.017669 0.114292 5 4.3842E+09 2.137293 -0.046724 -99.000000 -99.000000 -6.890417 0.000000 0.000019 0.002066 0.020359 0.000E+00 max_dt rel_E_err 2.0327781649948530D-13 log_rel_run_E_err -10.2455253292971218 (age_target - star_age)/age_sigma 340 28.5124715375 reducing max timestep prior to age target 340 1.8533106499380779D+08 (age_target - star_age)/age_sigma 341 27.9637030903 reducing max timestep prior to age target 341 1.8176407008669376D+08 (age_target - star_age)/age_sigma 342 27.4259100120 reducing max timestep prior to age target 342 1.7826841507772064D+08 (age_target - star_age)/age_sigma 344 26.3718355785 reducing max timestep prior to age target 344 1.7141693126013470D+08 (age_target - star_age)/age_sigma 345 25.8553391061 reducing max timestep prior to age target 345 1.6805970418951797D+08 (age_target - star_age)/age_sigma 346 25.3491725631 reducing max timestep prior to age target 346 1.6476962166031361D+08 (age_target - star_age)/age_sigma 347 24.8531293510 reducing max timestep prior to age target 347 1.6154534078169250D+08 (age_target - star_age)/age_sigma 348 24.3670070032 reducing max timestep prior to age target 348 1.5838554552064514D+08 (age_target - star_age)/age_sigma 349 23.8906071023 reducing max timestep prior to age target 349 1.5528894616481781D+08 350 7.180506 5651.223 -0.045695 -0.045695 1.000000 1.000000 0.392764 0.005239 0.239183 -1.533598 507 0 6.4821E+00 7.180506 -0.004449 -43.439266 -1.678525 -99.000000 0.000000 0.586874 0.008996 0.017657 0.114619 5 4.4172E+09 2.139518 -0.045635 -99.000000 -99.000000 -6.891178 0.000000 0.000019 0.002067 0.020362 0.000E+00 max_dt rel_E_err 1.7491467798008202D-13 log_rel_run_E_err -10.2318232381346874 (age_target - star_age)/age_sigma 350 23.4237351994 reducing max timestep prior to age target 350 1.5225427879610729D+08 save LOGS/profile8.data for model 350 save photos/x350 for model 350 (age_target - star_age)/age_sigma 351 22.9662007346 reducing max timestep prior to age target 351 1.4928030477477074D+08 (age_target - star_age)/age_sigma 352 22.5178169591 reducing max timestep prior to age target 352 1.4636581023386097D+08 (age_target - star_age)/age_sigma 353 22.0784008590 reducing max timestep prior to age target 353 1.4350960558376980D+08 (age_target - star_age)/age_sigma 354 21.6477730810 reducing max timestep prior to age target 354 1.4071052502667999D+08 (age_target - star_age)/age_sigma 355 21.2257578586 reducing max timestep prior to age target 355 1.3796742608073235D+08 (age_target - star_age)/age_sigma 356 20.8121829406 reducing max timestep prior to age target 356 1.3527918911370277D+08 (age_target - star_age)/age_sigma 357 20.4068795209 reducing max timestep prior to age target 357 1.3264471688601494D+08 (age_target - star_age)/age_sigma 358 20.0096821697 reducing max timestep prior to age target 358 1.3006293410287952D+08 (age_target - star_age)/age_sigma 359 19.6204287654 reducing max timestep prior to age target 359 1.2753278697540760D+08 360 7.180960 5651.777 -0.044798 -0.044798 1.000000 1.000000 0.390596 0.005245 0.239036 -1.532411 507 0 6.3944E+00 7.180960 -0.004086 -43.409569 -1.677105 -99.000000 0.000000 0.589040 0.008991 0.017648 0.114890 5 4.4444E+09 2.141355 -0.044738 -99.000000 -99.000000 -6.891805 0.000000 0.000019 0.002067 0.020364 0.000E+00 max_dt rel_E_err 1.9098540560921379D-13 log_rel_run_E_err -10.2182373659467007 (age_target - star_age)/age_sigma 360 19.2389604293 reducing max timestep prior to age target 360 1.2505324279048538D+08 (age_target - star_age)/age_sigma 361 18.8651214599 reducing max timestep prior to age target 361 1.2262328948926163D+08 (age_target - star_age)/age_sigma 362 18.4987592699 reducing max timestep prior to age target 362 1.2024193525406170D+08 (age_target - star_age)/age_sigma 363 18.1397243236 reducing max timestep prior to age target 363 1.1790820810356617D+08 (age_target - star_age)/age_sigma 364 17.7878700763 reducing max timestep prior to age target 364 1.1562115549608040D+08 (age_target - star_age)/age_sigma 365 17.4430529140 reducing max timestep prior to age target 365 1.1337984394074440D+08 (age_target - star_age)/age_sigma 366 17.1051320948 reducing max timestep prior to age target 366 1.1118335861651611D+08 (age_target - star_age)/age_sigma 367 16.7739696921 reducing max timestep prior to age target 367 1.0903080299877071D+08 (age_target - star_age)/age_sigma 368 16.4494305374 reducing max timestep prior to age target 368 1.0692129849338150D+08 (age_target - star_age)/age_sigma 369 16.1313821659 reducing max timestep prior to age target 369 1.0485398407810020D+08 370 7.181333 5652.228 -0.044063 -0.044063 1.000000 1.000000 0.388823 0.005250 0.238917 -1.531438 507 0 6.3066E+00 7.181333 -0.003788 -43.385250 -1.675940 -99.000000 0.000000 0.590811 0.008987 0.017640 0.115113 5 4.4667E+09 2.142859 -0.044004 -99.000000 -99.000000 -6.892318 0.000000 0.000019 0.002067 0.020366 0.000E+00 max_dt rel_E_err 1.8903335932272222D-13 log_rel_run_E_err -10.2053253317555335 (age_target - star_age)/age_sigma 370 15.8196947617 reducing max timestep prior to age target 370 1.0282801595112324D+08 (age_target - star_age)/age_sigma 371 15.5142411056 reducing max timestep prior to age target 371 1.0084256718668652D+08 (age_target - star_age)/age_sigma 372 15.2148965227 reducing max timestep prior to age target 372 9.8896827397538185D+07 (age_target - star_age)/age_sigma 373 14.9215388314 reducing max timestep prior to age target 373 9.6990002404172897D+07 (age_target - star_age)/age_sigma 374 14.6340482940 reducing max timestep prior to age target 374 9.5121313910676003D+07 (age_target - star_age)/age_sigma 375 14.3523075672 reducing max timestep prior to age target 375 9.3289999187047958D+07 (age_target - star_age)/age_sigma 376 14.0762016551 reducing max timestep prior to age target 376 9.1495310757892609D+07 (age_target - star_age)/age_sigma 378 13.5350340672 reducing max timestep prior to age target 378 8.7977721436749458D+07 (age_target - star_age)/age_sigma 379 13.2698619491 reducing max timestep prior to age target 379 8.6254102669387817D+07 380 7.181640 5652.598 -0.043459 -0.043459 1.000000 1.000000 0.387364 0.005254 0.238819 -1.530636 507 0 6.2277E+00 7.181640 -0.003543 -43.365231 -1.674978 -99.000000 0.000000 0.592268 0.008983 0.017633 0.115297 5 4.4849E+09 2.144098 -0.043400 -15.255620 -99.000000 -6.892740 0.000000 0.000019 0.002068 0.020368 0.000E+00 max_dt rel_E_err 1.8064901362676616D-13 log_rel_run_E_err -10.1925726094286979 (age_target - star_age)/age_sigma 380 13.0099932734 reducing max timestep prior to age target 380 8.4564956277374268D+07 (age_target - star_age)/age_sigma 381 12.7553219713 reducing max timestep prior to age target 381 8.2909592813201904D+07 (age_target - star_age)/age_sigma 382 12.5057440951 reducing max timestep prior to age target 382 8.1287336618311882D+07 (age_target - star_age)/age_sigma 383 12.2611577765 reducing max timestep prior to age target 383 7.9697525547319412D+07 (age_target - star_age)/age_sigma 384 12.0214631843 reducing max timestep prior to age target 384 7.8139510697747231D+07 (age_target - star_age)/age_sigma 385 11.7865624839 reducing max timestep prior to age target 385 7.6612656145166397D+07 (age_target - star_age)/age_sigma 386 11.5563597975 reducing max timestep prior to age target 386 7.5116338683637619D+07 (age_target - star_age)/age_sigma 387 11.3307611648 reducing max timestep prior to age target 387 7.3649947571338654D+07 (age_target - star_age)/age_sigma 388 11.1096745048 reducing max timestep prior to age target 388 7.2212884281286240D+07 (age_target - star_age)/age_sigma 389 10.8930095780 reducing max timestep prior to age target 389 7.0804562257035255D+07 390 7.181896 5652.903 -0.042958 -0.042958 1.000000 1.000000 0.386154 0.005258 0.238738 -1.529971 507 0 6.1399E+00 7.181896 -0.003339 -43.348610 -1.674179 -99.000000 0.000000 0.593476 0.008980 0.017628 0.115450 5 4.5001E+09 2.145128 -0.042899 -99.000000 -99.000000 -6.893090 0.000000 0.000019 0.002068 0.020369 0.000E+00 max_dt rel_E_err 1.7226884969791171D-13 log_rel_run_E_err -10.1806590813035065 (age_target - star_age)/age_sigma 390 10.6806779497 reducing max timestep prior to age target 390 6.9424406673268318D+07 (age_target - star_age)/age_sigma 391 10.4725929540 reducing max timestep prior to age target 391 6.8071854201177597D+07 (age_target - star_age)/age_sigma 392 10.2686696582 reducing max timestep prior to age target 392 6.6746352778528214D+07 (age_target - star_age)/age_sigma 393 10.0688248284 reducing max timestep prior to age target 393 6.5447361384331703D+07 (age_target - star_age)/age_sigma 394 9.8729768951 reducing max timestep prior to age target 394 6.4174349818019867D+07 (age_target - star_age)/age_sigma 395 9.6810459205 reducing max timestep prior to age target 395 6.2926798483033180D+07 (age_target - star_age)/age_sigma 396 9.4929535653 reducing max timestep prior to age target 396 6.1704198174746513D+07 (age_target - star_age)/age_sigma 397 9.3086230573 reducing max timestep prior to age target 397 6.0506049872626305D+07 (age_target - star_age)/age_sigma 398 9.1279791595 reducing max timestep prior to age target 398 5.9331864536547661D+07 (age_target - star_age)/age_sigma 399 8.9509481396 reducing max timestep prior to age target 399 5.8181162907191277D+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 7.182105 5653.152 -0.042548 -0.042548 1.000000 1.000000 0.385165 0.005261 0.238672 -1.529426 507 0 6.0522E+00 7.182105 -0.003173 -43.335012 -1.673524 -99.000000 0.000000 0.594464 0.008978 0.017624 0.115576 5 4.5124E+09 2.145970 -0.042489 -15.352530 -99.000000 -6.893376 0.000000 0.000019 0.002068 0.020370 0.000E+00 max_dt rel_E_err 1.8276981162187097D-13 log_rel_run_E_err -10.1688477043444614 (age_target - star_age)/age_sigma 400 8.7774577401 reducing max timestep prior to age target 400 5.7053475310421944D+07 save LOGS/profile9.data for model 400 save photos/x400 for model 400 (age_target - star_age)/age_sigma 401 8.6074371486 reducing max timestep prior to age target 401 5.5948341465587616D+07 (age_target - star_age)/age_sigma 402 8.4408169689 reducing max timestep prior to age target 402 5.4865310297649384D+07 (age_target - star_age)/age_sigma 403 8.2775291928 reducing max timestep prior to age target 403 5.3803939753070831D+07 (age_target - star_age)/age_sigma 404 8.1175071722 reducing max timestep prior to age target 404 5.2763796619383812D+07 (age_target - star_age)/age_sigma 405 7.9606855921 reducing max timestep prior to age target 405 5.1744456348370552D+07 (age_target - star_age)/age_sigma 406 7.8070004435 reducing max timestep prior to age target 406 5.0745502882777214D+07 (age_target - star_age)/age_sigma 407 7.6563889979 reducing max timestep prior to age target 407 4.9766528486495972D+07 (age_target - star_age)/age_sigma 408 7.5087897813 reducing max timestep prior to age target 408 4.8807133578140259D+07 (age_target - star_age)/age_sigma 409 7.3641425489 reducing max timestep prior to age target 409 4.7866926567952156D+07 410 7.182276 5653.355 -0.042213 -0.042213 1.000000 1.000000 0.384357 0.005263 0.238618 -1.528981 507 0 5.9644E+00 7.182276 -0.003036 -43.323891 -1.672988 -99.000000 0.000000 0.595272 0.008976 0.017620 0.115679 3 4.5226E+09 2.146659 -0.042154 -15.352530 -99.000000 -6.893610 0.000000 0.000019 0.002068 0.020371 0.000E+00 max_dt rel_E_err 1.8683641952822180D-13 log_rel_run_E_err -10.1572599516680597 (age_target - star_age)/age_sigma 410 7.2223882612 reducing max timestep prior to age target 410 4.6945523697967529D+07 (age_target - star_age)/age_sigma 411 7.0834690593 reducing max timestep prior to age target 411 4.6042548885382652D+07 (age_target - star_age)/age_sigma 413 6.8111874235 reducing max timestep prior to age target 413 4.4272718252716064D+07 (age_target - star_age)/age_sigma 414 6.6777694220 reducing max timestep prior to age target 414 4.3405501242709160D+07 (age_target - star_age)/age_sigma 415 6.5470197804 reducing max timestep prior to age target 415 4.2555628572902679D+07 (age_target - star_age)/age_sigma 416 6.4188851318 reducing max timestep prior to age target 416 4.1722753356492043D+07 (age_target - star_age)/age_sigma 417 6.2933131761 reducing max timestep prior to age target 417 4.0906535644410133D+07 (age_target - star_age)/age_sigma 418 6.1702526595 reducing max timestep prior to age target 418 4.0106642286569595D+07 (age_target - star_age)/age_sigma 419 6.0496533532 reducing max timestep prior to age target 419 3.9322746795886040D+07 420 7.182418 5653.523 -0.041935 -0.041935 1.000000 1.000000 0.383685 0.005265 0.238573 -1.528610 507 0 5.8855E+00 7.182418 -0.002923 -43.314651 -1.672542 -99.000000 0.000000 0.595943 0.008974 0.017617 0.115764 3 4.5309E+09 2.147232 -0.041876 -99.000000 -99.000000 -6.893804 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 1.8489826241424568D-13 log_rel_run_E_err -10.1460073001400559 (age_target - star_age)/age_sigma 420 5.9314660331 reducing max timestep prior to age target 420 3.8554529215015411D+07 (age_target - star_age)/age_sigma 421 5.8156424593 reducing max timestep prior to age target 421 3.7801675985762596D+07 (age_target - star_age)/age_sigma 422 5.7021353571 reducing max timestep prior to age target 422 3.7063879821095467D+07 (age_target - star_age)/age_sigma 423 5.5908983969 reducing max timestep prior to age target 423 3.6340839579720497D+07 (age_target - star_age)/age_sigma 424 5.4818861759 reducing max timestep prior to age target 424 3.5632260143174171D+07 (age_target - star_age)/age_sigma 425 5.3750541993 reducing max timestep prior to age target 425 3.4937852295357704D+07 (age_target - star_age)/age_sigma 426 5.2703588622 reducing max timestep prior to age target 426 3.4257332604497910D+07 (age_target - star_age)/age_sigma 427 5.1677574319 reducing max timestep prior to age target 427 3.3590423307456017D+07 (age_target - star_age)/age_sigma 428 5.0672080302 reducing max timestep prior to age target 428 3.2936852196353912D+07 (age_target - star_age)/age_sigma 429 4.9678510100 remaining steps and years until age target 429 50 3.2291031565052986D+07 430 7.182535 5653.662 -0.041705 -0.041705 1.000000 1.000000 0.383132 0.005267 0.238536 -1.528305 507 0 5.8101E+00 7.182535 -0.002830 -43.307037 -1.672174 -99.000000 0.000000 0.596495 0.008973 0.017615 0.115835 3 4.5379E+09 2.147704 -0.041647 -15.477469 -99.000000 -6.893964 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt rel_E_err 1.7888624963372723D-13 log_rel_run_E_err -10.1351014251868108 (age_target - star_age)/age_sigma 430 4.8684939898 remaining steps and years until age target 430 49 3.1645210933752060D+07 (age_target - star_age)/age_sigma 431 4.7691369696 reducing max timestep prior to age target 431 3.0999390302450180D+07 (age_target - star_age)/age_sigma 432 4.6697799494 remaining steps and years until age target 432 47 3.0353569671149254D+07 (age_target - star_age)/age_sigma 433 4.5704229292 remaining steps and years until age target 433 46 2.9707749039848328D+07 (age_target - star_age)/age_sigma 434 4.4710659090 reducing max timestep prior to age target 434 2.9061928408546448D+07 (age_target - star_age)/age_sigma 435 4.3717088888 remaining steps and years until age target 435 44 2.8416107777245522D+07 (age_target - star_age)/age_sigma 436 4.2723518686 remaining steps and years until age target 436 43 2.7770287145944595D+07 (age_target - star_age)/age_sigma 437 4.1729948484 reducing max timestep prior to age target 437 2.7124466514642715D+07 (age_target - star_age)/age_sigma 438 4.0736378282 remaining steps and years until age target 438 41 2.6478645883341789D+07 (age_target - star_age)/age_sigma 439 3.9742808080 remaining steps and years until age target 439 40 2.5832825252040863D+07 440 7.182644 5653.792 -0.041491 -0.041491 1.000000 1.000000 0.382615 0.005269 0.238502 -1.528020 507 0 5.8101E+00 7.182644 -0.002743 -43.299916 -1.671830 -99.000000 0.000000 0.597012 0.008972 0.017613 0.115901 3 4.5443E+09 2.148145 -0.041432 -15.653560 -99.000000 -6.894113 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt rel_E_err 1.8295582810724876D-13 log_rel_run_E_err -10.1241920909815502 (age_target - star_age)/age_sigma 440 3.8749237878 reducing max timestep prior to age target 440 2.5187004620738983D+07 (age_target - star_age)/age_sigma 441 3.7755667676 remaining steps and years until age target 441 38 2.4541183989438057D+07 (age_target - star_age)/age_sigma 442 3.6762097474 remaining steps and years until age target 442 37 2.3895363358137131D+07 (age_target - star_age)/age_sigma 443 3.5768527272 reducing max timestep prior to age target 443 2.3249542726835251D+07 (age_target - star_age)/age_sigma 444 3.4774957070 remaining steps and years until age target 444 35 2.2603722095534325D+07 (age_target - star_age)/age_sigma 445 3.3781386868 remaining steps and years until age target 445 34 2.1957901464234352D+07 (age_target - star_age)/age_sigma 446 3.2787816666 reducing max timestep prior to age target 446 2.1312080832932472D+07 (age_target - star_age)/age_sigma 447 3.1794246464 remaining steps and years until age target 447 32 2.0666260201632500D+07 (age_target - star_age)/age_sigma 448 3.0800676262 reducing max timestep prior to age target 448 2.0020439570330620D+07 (age_target - star_age)/age_sigma 449 2.9807106060 remaining steps and years until age target 449 30 1.9374618939029694D+07 450 7.182754 5653.922 -0.041276 -0.041276 1.000000 1.000000 0.382098 0.005270 0.238468 -1.527734 507 0 5.8101E+00 7.182754 -0.002655 -43.292791 -1.671486 -99.000000 0.000000 0.597529 0.008970 0.017610 0.115967 3 4.5508E+09 2.148587 -0.041218 -99.000000 -99.000000 -6.894263 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt rel_E_err 1.7908945462938217D-13 log_rel_run_E_err -10.1137189418166074 (age_target - star_age)/age_sigma 450 2.8813535858 remaining steps and years until age target 450 29 1.8728798307728767D+07 save LOGS/profile10.data for model 450 save photos/x450 for model 450 (age_target - star_age)/age_sigma 451 2.7819965656 reducing max timestep prior to age target 451 1.8082977676426888D+07 (age_target - star_age)/age_sigma 452 2.6826395454 remaining steps and years until age target 452 27 1.7437157045125961D+07 (age_target - star_age)/age_sigma 453 2.5832825252 remaining steps and years until age target 453 26 1.6791336413825989D+07 (age_target - star_age)/age_sigma 454 2.4839255050 reducing max timestep prior to age target 454 1.6145515782524109D+07 (age_target - star_age)/age_sigma 455 2.3845684848 remaining steps and years until age target 455 24 1.5499695151224136D+07 (age_target - star_age)/age_sigma 456 2.2852114646 reducing max timestep prior to age target 456 1.4853874519922256D+07 (age_target - star_age)/age_sigma 457 2.1858544444 remaining steps and years until age target 457 22 1.4208053888621330D+07 (age_target - star_age)/age_sigma 458 2.0864974242 remaining steps and years until age target 458 21 1.3562233257321358D+07 (age_target - star_age)/age_sigma 459 1.9871404040 reducing max timestep prior to age target 459 1.2916412626019478D+07 460 7.182864 5654.051 -0.041062 -0.041062 1.000000 1.000000 0.381580 0.005272 0.238433 -1.527448 507 0 5.8101E+00 7.182864 -0.002568 -43.285661 -1.671141 -99.000000 0.000000 0.598046 0.008969 0.017608 0.116034 3 4.5572E+09 2.149029 -0.041003 -99.000000 -99.000000 -6.894412 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt rel_E_err 1.8980740073510789D-13 log_rel_run_E_err -10.1035899869294692 (age_target - star_age)/age_sigma 460 1.8877833838 remaining steps and years until age target 460 19 1.2270591994718552D+07 (age_target - star_age)/age_sigma 461 1.7884263636 remaining steps and years until age target 461 18 1.1624771363418579D+07 (age_target - star_age)/age_sigma 462 1.6890693434 reducing max timestep prior to age target 462 1.0978950732116699D+07 (age_target - star_age)/age_sigma 463 1.5897123232 remaining steps and years until age target 463 16 1.0333130100816727D+07 (age_target - star_age)/age_sigma 464 1.4903553030 reducing max timestep prior to age target 464 9.6873094695148468D+06 (age_target - star_age)/age_sigma 465 1.3909982828 remaining steps and years until age target 465 14 9.0414888382139206D+06 (age_target - star_age)/age_sigma 466 1.2916412626 remaining steps and years until age target 466 13 8.3956682069129944D+06 (age_target - star_age)/age_sigma 467 1.1922842424 reducing max timestep prior to age target 467 7.7498475756111145D+06 (age_target - star_age)/age_sigma 468 1.0929272222 remaining steps and years until age target 468 11 7.1040269443101883D+06 (age_target - star_age)/age_sigma 469 0.9935702020 remaining steps and years until age target 469 10 6.4582063130102158D+06 470 7.182974 5654.181 -0.040847 -0.040847 1.000000 1.000000 0.381063 0.005273 0.238399 -1.527162 507 0 5.8101E+00 7.182974 -0.002481 -43.278527 -1.670795 -99.000000 0.000000 0.598563 0.008968 0.017606 0.116100 3 4.5637E+09 2.149472 -0.040789 -99.000000 -99.000000 -6.894561 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt rel_E_err 1.8036497725783648D-13 log_rel_run_E_err -10.0935711698838517 (age_target - star_age)/age_sigma 470 0.8942131818 reducing max timestep prior to age target 470 5.8123856817083359D+06 (age_target - star_age)/age_sigma 471 0.7948561616 remaining steps and years until age target 471 8 5.1665650504083633D+06 (age_target - star_age)/age_sigma 472 0.6954991414 reducing max timestep prior to age target 472 4.5207444191064835D+06 (age_target - star_age)/age_sigma 473 0.5961421212 remaining steps and years until age target 473 6 3.8749237878055573D+06 (age_target - star_age)/age_sigma 474 0.4967851010 remaining steps and years until age target 474 5 3.2291031565055847D+06 (age_target - star_age)/age_sigma 475 0.3974280808 reducing max timestep prior to age target 475 2.5832825252037048D+06 (age_target - star_age)/age_sigma 476 0.2980710606 remaining steps and years until age target 476 3 1.9374618939027786D+06 (age_target - star_age)/age_sigma 477 0.1987140404 remaining steps and years until age target 477 2 1.2916412626028061D+06 (age_target - star_age)/age_sigma 478 0.0993570202 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333405.25 0.00 333405.25 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 varcontrol dt limit 325 max increase dt limit 4272 lgTeff dt limit 2 lgRho_cntr dt limit 147 model saved to final.mod save photos/x479 for model 479 chi^2 combined, chi^2 seismo, chi^2 spectro 479 333405.25 0.00 333405.25 have reached age_target runtime (minutes), retries, steps 4.45 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 7.183073 5654.297 -0.040654 -0.040654 1.000000 1.000000 0.380597 0.005275 0.238368 -1.526904 507 0 5.8101E+00 7.183073 -0.002402 -43.272103 -1.670484 -99.000000 0.000000 0.599028 0.008967 0.017604 0.116160 3 4.5695E+09 2.149870 -0.040595 -15.477469 -99.000000 -6.894696 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt rel_E_err 1.8271892469243976D-13 log_rel_run_E_err -10.0847069946313468 Teff 5654.2972097830 radius 0.9944848135 radius_obs 1.0000000000 radius_sigma 0.0010000000 radius chi2term 30.4172824576 M_H 0.0136134187 M_H_obs 0.0000000000 M_H_sigma 0.0010000000 M_H chi2term 185.3251673720 log_R -0.0024018445 delta_nu 142.6699892269 nu_max 3144.4605412615 a_div_r 0.0000000000E+00 correction_r 0.0000000000E+00 initial_mass 1.0000000000 initial_Y 0.2639189289 initial_FeH 0.0687338628 alpha 2.1110973020 f_ov 0.0000000000 age 4.5695000000E+09 chi^2 spectro 333405.2474832765 model number 479 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 "08c12e86" "gfortran" "13.3.0" "x86_64-linux-25.12.1" "CRMATH" "20260107" "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 3.3333875763343979E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187435746586971E+03 1.0010021152735951E+00 3.9075139536362746E-03 4.3499521226511708E-04 1.4131311804383409E+02 3.1134520391366050E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875763343979E+05 0 0 0 0 0 0 0 4 3.3337679267851706E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620728619E+03 1.0114129282001618E+00 3.5086386126295400E-04 4.9285006215276537E-03 1.3913658568068431E+02 3.0234851123020985E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851706E+05 0 0 0 0 0 0 0 8 3.3340524748327653E+05 1.0000000000000000E+00 2.6391892885122370E-01 6.8733862817750471E-02 2.1110973019798247E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6542972097829725E+03 9.9448481347027895E-01 1.3613418651169737E-02 -2.4018444916978693E-03 1.4266998922692053E+02 3.1444605412614596E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3340524748327653E+05 0 0 0 0 0 0 0 1 3.3351280955150846E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799356269539430E+03 1.0231387428323298E+00 -1.7398950154099558E-03 9.9345302525710756E-03 1.3680797539651249E+02 2.9640874280697080E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351280955150846E+05 0 0 0 0 0 0 0 3 3.3365601948940614E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355922679182013E+03 1.0099931800936883E+00 2.9465145847822460E-02 4.3184412502880526E-03 1.3947655830944021E+02 3.0536911602776722E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365601948940614E+05 0 0 0 0 0 0 0 7 3.3407000564935961E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091612653573256E+03 1.0465091863533991E+00 -6.8492724302305725E-03 1.9743044968140080E-02 1.3234734914088307E+02 2.8509967590666497E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407000564935961E+05 0 0 0 0 0 0 0 6 3.3418087888975878E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7204760560664736E+03 1.0373138422581170E+00 -3.3916276995163849E-02 1.5910173303060018E-02 1.3401816692947784E+02 2.8733950815251337E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418087888975878E+05 0 0 0 0 0 0 0 2 3.3467762476560613E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7648132271902086E+03 1.0621856308706739E+00 -1.2877173992562437E-02 2.6200422035306429E-02 1.2940090818201503E+02 2.7298470328750154E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3467762476560613E+05 0 0 0 0 0 0 0 save_sample_results_to_file outputs/newuoa_results.data DATE: 2026-01-07 TIME: 18:11:35 finished inlist_fast_newuoa_header DATE: 2026-01-07 TIME: 18:11:35 finished fast_newuoa run: test string matches after ./rn