DATE: 2025-03-28
TIME: 11:47:20
run inlist_fast_newuoa_header
DATE: 2025-03-28
TIME: 11:47:20
read inlist_fast_newuoa
read inlist_astero_search_controls
done init_gyre
search_type == newuoa
next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00
next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00
next_param_to_try alpha 4 2.0000000000000000D+00 0.0000000000000000D+00
reading user weak rate file /home/jenkins/workspace/mesa_main/data/rates_data/rate_tables/S13_r_be7_wk_li7.h5
version_number 2b91b1c
read inlist_fast_newuoa
enter astero_extras_controls
create pre-main-sequence model
species mass 8 1.0000000000000000D+00
relax_num_steps 50
retry: max residual jumped -- give up in solver 5
10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1
-5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1
-5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1
-5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
finished doing relax num steps
relax_to_radiative_core
10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0
-2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 10 3.9562810869851778D-01
20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0
7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3
1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 20 1.8246319607504208D-01
30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0
3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3
7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 30 7.8128501791382976D-08
40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0
4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3
7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 40 7.8128501791382976D-08
50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0
4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3
3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 50 7.8128501569338371D-08
60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0
5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3
1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 60 7.8128500903204556D-08
finished relax to begin radiative core 66 2.4692958051424622D-02
finished doing relax_to_radiative_core
set_initial_number_retries 0
set_uniform_initial_composition
initial_h1 7.1127416933281451D-01
initial_h2 0.0000000000000000D+00
initial_he3 2.7000000000000002D-05
initial_he4 2.6997300000000002D-01
metals GS98
relax_initial_mass to new_mass 1.0000000000000000D+00
net name basic.net
do_element_diffusion T
tau_base 4.1164335019999998D-01
atm_option: T_tau
set_cumulative_energy_error 0.0000000000000000D+00
kap_option gs98
kap_CO_option gs98_co
kap_lowT_option lowT_fa05_gs98
OMP_NUM_THREADS 4
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
(age_target - star_age)/age_sigma 1 703.0000000000
begin reducing max timestep prior to age target 1 4.5694999999999905D+09
save LOGS/profile1.data for model 1
(age_target - star_age)/age_sigma 2 703.0000000000
reducing max timestep prior to age target 2 4.5694999999999781D+09
(age_target - star_age)/age_sigma 3 703.0000000000
reducing max timestep prior to age target 3 4.5694999999999638D+09
(age_target - star_age)/age_sigma 4 703.0000000000
reducing max timestep prior to age target 4 4.5694999999999466D+09
(age_target - star_age)/age_sigma 5 703.0000000000
reducing max timestep prior to age target 5 4.5694999999999256D+09
(age_target - star_age)/age_sigma 6 703.0000000000
reducing max timestep prior to age target 6 4.5694999999999008D+09
10 6.621787 4325.214 -4.903036 -4.903036 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 457 0
-4.2874E+00 6.621787 0.262613 -99.000000 -6.300784 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 10
2.5959E-04 0.156070 0.023950 -20.470040 -99.000000 -6.899727 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6951610849067104D-13
log_rel_run_E_err -11.5762518388221078
20 6.621787 4338.368 -4.903036 -4.903036 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 455 0
-3.4956E+00 6.621787 0.262629 -99.000000 -6.300785 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5
1.8669E-03 0.156071 0.029257 -99.000000 -99.000000 -6.905564 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5666426911732906D-13
log_rel_run_E_err -11.2767490073696415
30 6.621788 4339.522 -4.903037 -4.903037 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028131 454 0
-2.7037E+00 6.621788 0.262636 -99.000000 -6.300785 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2
1.1819E-02 0.156072 0.029733 -99.000000 -99.000000 -6.906078 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.4921392712075265D-13
log_rel_run_E_err -11.1025691649662566
40 6.621789 4338.951 -4.903035 -4.903035 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028130 454 0
-1.9119E+00 6.621789 0.262638 -99.000000 -6.300784 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5
7.3439E-02 0.156074 0.029508 -99.000000 -99.000000 -6.905831 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.7305501780119340D-13
log_rel_run_E_err -10.9772976297982598
50 6.621789 4337.363 -4.903035 -4.903035 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028130 454 0
-1.1201E+00 6.621789 0.262627 -99.000000 -6.300783 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 5
4.5497E-01 0.156074 0.028851 -99.000000 -99.000000 -6.905122 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6076193949306629D-13
log_rel_run_E_err -10.8843393197716338
save LOGS/profile2.data for model 50
save photos/x050 for model 50
60 6.621789 4337.292 -4.903034 -4.903034 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028130 454 0
-3.2831E-01 6.621789 0.262626 -99.000000 -6.300782 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2
2.8173E+00 0.156075 0.028821 -99.000000 -99.000000 -6.905090 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6318320823029258D-13
log_rel_run_E_err -10.8053307663453584
70 6.621790 4337.291 -4.903025 -4.903025 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028126 454 0
4.6351E-01 6.621790 0.262625 -99.000000 -6.300773 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2
1.7444E+01 0.156078 0.028819 -99.000000 -99.000000 -6.905088 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6355515390730316D-13
log_rel_run_E_err -10.7386233995992466
80 6.621795 4337.286 -4.902971 -4.902971 1.000000 1.000000 0.711274 0.000946 0.270000 -4.028101 454 0
1.2553E+00 6.621795 0.262620 -99.000000 -6.300719 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071937 2
1.0801E+02 0.156096 0.028805 -20.293948 -99.000000 -6.905079 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5405258345996072D-13
log_rel_run_E_err -10.6807231441489154
90 6.621825 4337.251 -4.902637 -4.902637 1.000000 1.000000 0.711274 0.000946 0.270000 -4.027948 454 0
2.0471E+00 6.621825 0.262585 -99.000000 -6.300386 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071938 2
6.6878E+02 0.156207 0.028721 -20.771070 -99.000000 -6.905021 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.8159501062145080D-13
log_rel_run_E_err -10.6287608128745656
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
100 6.622010 4337.033 -4.900574 -4.900574 1.000000 1.000000 0.711274 0.000946 0.270000 -4.027000 454 0
2.8389E+00 6.622010 0.262368 -99.000000 -6.298322 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071946 2
4.1409E+03 0.156894 0.028200 -99.000000 -99.000000 -6.904666 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.4775820901254143D-13
log_rel_run_E_err -10.5841646870584096
save LOGS/profile3.data for model 100
save photos/x100 for model 100
110 6.623149 4335.691 -4.887888 -4.887888 1.000000 1.000000 0.711274 0.000946 0.270000 -4.021153 454 0
3.6308E+00 6.623149 0.261035 -99.000000 -6.285635 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071991 2
2.5639E+04 0.161126 0.024997 -20.293948 -99.000000 -6.902474 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5996526164964141D-13
log_rel_run_E_err -10.5440359384709641
120 6.629865 4327.570 -4.812658 -4.812658 1.000000 1.000000 0.711274 0.000946 0.270000 -3.985727 454 0
4.4226E+00 6.629865 0.253108 -99.000000 -6.210400 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072280 3
1.5875E+05 0.186492 0.005886 -20.470040 -99.000000 -6.889335 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.7205313447354731D-13
log_rel_run_E_err -10.4980482958195473
130 6.662087 4285.241 -4.441400 -4.441400 1.000000 1.000000 0.711274 0.000946 0.270000 -3.789459 454 0
5.2144E+00 6.662087 0.213519 -99.000000 -5.839107 -99.000000 0.000000 0.270000 0.008783 0.018726 0.074323 4
9.8295E+05 0.319478 -0.090367 -19.867980 -99.000000 -6.821859 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6214616064113887D-13
log_rel_run_E_err -10.2074125386111678
140 6.750234 4220.861 -3.420425 -3.420425 1.000000 1.000000 0.711271 0.000946 0.269999 -3.080459 467 0
5.8515E+00 6.750234 0.109731 -99.000000 -4.817927 -99.000000 0.000000 0.270003 0.008783 0.018726 0.084830 4
5.4698E+06 0.756201 -0.324240 -99.000000 -99.000000 -6.662570 0.000000 0.003227 0.001952 0.018726 0.000E+00 varcontrol
rel_E_err 2.3282676373846172D-13
log_rel_run_E_err -10.2926609868048136
150 6.870414 4547.321 -2.235290 -2.235290 1.000000 1.000000 0.711257 0.000946 0.269993 -2.206973 473 0
6.0296E+00 6.870414 0.037617 -99.000000 -3.632067 -99.000000 0.000000 0.270017 0.008783 0.018725 0.098149 4
1.4781E+07 1.306737 -0.339049 -99.000000 -99.000000 -6.716472 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr
rel_E_err 2.0896560625758721D-13
log_rel_run_E_err -10.3293972660031130
save LOGS/profile4.data for model 150
save photos/x150 for model 150
160 7.048696 5398.477 -0.802698 -0.802698 1.000000 1.000000 0.711085 0.000964 0.269971 -1.544593 491 0
6.1767E+00 7.048696 0.015298 -51.648608 -2.245446 -99.000000 0.000000 0.270186 0.008784 0.018724 0.098661 5
2.6492E+07 1.848190 -0.085625 -99.000000 -99.000000 -6.845417 0.000000 0.003212 0.001952 0.018730 0.000E+00 lgRho_cntr
rel_E_err 1.6124653641317698D-13
log_rel_run_E_err -10.4733099766934714
(age_target - star_age)/age_sigma 169 694.4614868087
reducing max timestep prior to age target 169 4.5139996642565994D+09
170 7.130742 5564.035 -0.160677 -0.160677 1.000000 1.000000 0.709166 0.003079 0.269749 -1.723289 518 0
6.8569E+00 7.130742 -0.048015 -47.224961 -1.757507 -99.000000 0.000000 0.271798 0.008785 0.018711 0.085089 5
6.2693E+07 1.899153 -0.159777 -99.000000 -99.000000 -6.806413 0.000000 0.001400 0.001953 0.019036 0.000E+00 max increase
rel_E_err 1.9283045941738072D-13
log_rel_run_E_err -10.5048028100672113
(age_target - star_age)/age_sigma 176 680.1699322083
reducing max timestep prior to age target 176 4.4211045593538771D+09
(age_target - star_age)/age_sigma 179 665.7379903536
reducing max timestep prior to age target 179 4.3272969372983732D+09
180 7.131307 5583.996 -0.143677 -0.143677 1.000000 1.000000 0.694446 0.004706 0.268281 -1.673885 507 0
7.6487E+00 7.131307 -0.043046 -47.089020 -1.799023 -99.000000 0.000000 0.286257 0.008797 0.018621 0.087384 10
2.8674E+08 1.923966 -0.143617 -99.000000 -99.000000 -6.816863 0.000000 0.000014 0.001956 0.019297 0.000E+00 max increase
rel_E_err 1.8720778475531981D-13
log_rel_run_E_err -10.4815792049027117
(age_target - star_age)/age_sigma 181 650.6653337177
reducing max timestep prior to age target 181 4.2293246691648011D+09
(age_target - star_age)/age_sigma 182 640.7995948287
reducing max timestep prior to age target 182 4.1651973663864632D+09
(age_target - star_age)/age_sigma 184 616.6417643042
reducing max timestep prior to age target 184 4.0081714679774776D+09
(age_target - star_age)/age_sigma 185 604.5691993237
reducing max timestep prior to age target 185 3.9296997956039972D+09
(age_target - star_age)/age_sigma 186 592.7380856428
reducing max timestep prior to age target 186 3.8527975566779871D+09
(age_target - star_age)/age_sigma 187 581.1435942355
reducing max timestep prior to age target 187 3.7774333625304971D+09
(age_target - star_age)/age_sigma 188 569.7809926563
reducing max timestep prior to age target 188 3.7035764522659569D+09
(age_target - star_age)/age_sigma 189 558.6456431087
reducing max timestep prior to age target 189 3.6311966802067070D+09
190 7.139495 5602.779 -0.121902 -0.121902 1.000000 1.000000 0.640086 0.004747 0.263586 -1.652398 512 0
7.8508E+00 7.139495 -0.035069 -46.413928 -1.784932 -99.000000 0.000000 0.340515 0.008828 0.018331 0.090978 10
1.0092E+09 1.959105 -0.121830 -15.954590 -99.000000 -6.831122 0.000000 0.000014 0.001966 0.019398 0.000E+00 max_dt
rel_E_err 1.9048367449419987D-13
log_rel_run_E_err -10.4586063881181950
(age_target - star_age)/age_sigma 190 547.7330005521
reducing max timestep prior to age target 190 3.5602645035886421D+09
(age_target - star_age)/age_sigma 191 537.0386108466
reducing max timestep prior to age target 191 3.4907509705029392D+09
(age_target - star_age)/age_sigma 192 526.5581089352
reducing max timestep prior to age target 192 3.4226277080789499D+09
(age_target - star_age)/age_sigma 193 516.2872170621
reducing max timestep prior to age target 193 3.3558669109034405D+09
(age_target - star_age)/age_sigma 194 506.2217430264
reducing max timestep prior to age target 194 3.2904413296714411D+09
(age_target - star_age)/age_sigma 195 496.3575784714
reducing max timestep prior to age target 195 3.2263242600640821D+09
(age_target - star_age)/age_sigma 196 486.6906972075
reducing max timestep prior to age target 196 3.1634895318488703D+09
(age_target - star_age)/age_sigma 197 477.2171535689
reducing max timestep prior to age target 197 3.1019114981979623D+09
(age_target - star_age)/age_sigma 198 467.9330808031
reducing max timestep prior to age target 198 3.0415650252200727D+09
(age_target - star_age)/age_sigma 199 458.8346894926
reducing max timestep prior to age target 199 2.9824254817017407D+09
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
200 7.147453 5618.243 -0.103213 -0.103213 1.000000 1.000000 0.591153 0.004789 0.259502 -1.633473 512 0
7.7631E+00 7.147453 -0.028117 -45.803772 -1.763983 -99.000000 0.000000 0.389362 0.008845 0.018076 0.094504 10
1.6450E+09 1.991850 -0.103139 -99.000000 -99.000000 -6.843948 0.000000 0.000015 0.001974 0.019485 0.000E+00 max_dt
rel_E_err 1.7297639393413356D-13
log_rel_run_E_err -10.4376335919931424
(age_target - star_age)/age_sigma 200 449.9182660083
reducing max timestep prior to age target 200 2.9244687290537758D+09
save LOGS/profile5.data for model 200
save photos/x200 for model 200
(age_target - star_age)/age_sigma 201 441.1801709937
reducing max timestep prior to age target 201 2.8676711114587698D+09
(age_target - star_age)/age_sigma 202 432.6168378793
reducing max timestep prior to age target 202 2.8120094462156639D+09
(age_target - star_age)/age_sigma 203 424.2247714273
reducing max timestep prior to age target 203 2.7574610142774200D+09
(age_target - star_age)/age_sigma 204 416.0005463043
reducing max timestep prior to age target 204 2.7040035509779415D+09
(age_target - star_age)/age_sigma 205 407.9408056838
reducing max timestep prior to age target 205 2.6516152369444523D+09
(age_target - star_age)/age_sigma 206 400.0422598756
reducing max timestep prior to age target 206 2.6002746891916327D+09
(age_target - star_age)/age_sigma 207 392.3016849837
reducing max timestep prior to age target 207 2.5499609523938694D+09
(age_target - star_age)/age_sigma 208 384.7159215895
reducing max timestep prior to age target 208 2.5006534903320618D+09
(age_target - star_age)/age_sigma 209 377.2818734633
reducing max timestep prior to age target 209 2.4523321775114903D+09
210 7.154393 5630.520 -0.087536 -0.087536 1.000000 1.000000 0.550563 0.004831 0.256246 -1.616765 514 0
7.6754E+00 7.154393 -0.022175 -45.292861 -1.744569 -99.000000 0.000000 0.429885 0.008849 0.017873 0.097724 10
2.1645E+09 2.020226 -0.087463 -15.653560 -99.000000 -6.854868 0.000000 0.000016 0.001981 0.019552 0.000E+00 max_dt
rel_E_err 1.9533690090118579D-13
log_rel_run_E_err -10.4158269287137912
(age_target - star_age)/age_sigma 210 369.9965062996
reducing max timestep prior to age target 210 2.4049772909473300D+09
(age_target - star_age)/age_sigma 211 362.8568464791
reducing max timestep prior to age target 211 2.3585695021144528D+09
(age_target - star_age)/age_sigma 212 355.8599798551
reducing max timestep prior to age target 212 2.3130898690582337D+09
(age_target - star_age)/age_sigma 213 349.0030505636
reducing max timestep prior to age target 213 2.2685198286631384D+09
(age_target - star_age)/age_sigma 214 342.2832598578
reducing max timestep prior to age target 214 2.2248411890759454D+09
(age_target - star_age)/age_sigma 215 335.6978649662
reducing max timestep prior to age target 215 2.1820361222804966D+09
(age_target - star_age)/age_sigma 217 322.7904909787
reducing max timestep prior to age target 217 2.0981381913614159D+09
(age_target - star_age)/age_sigma 218 316.4658777248
reducing max timestep prior to age target 218 2.0570282052110667D+09
(age_target - star_age)/age_sigma 219 310.2677567360
reducing max timestep prior to age target 219 2.0167404187837238D+09
220 7.160429 5640.405 -0.074267 -0.074267 1.000000 1.000000 0.516686 0.004873 0.253541 -1.602060 513 0
7.5964E+00 7.160429 -0.017065 -44.861720 -1.727167 -99.000000 0.000000 0.463708 0.008843 0.017705 0.100648 10
2.5922E+09 2.044804 -0.074195 -15.954590 -99.000000 -6.864196 0.000000 0.000016 0.001987 0.019606 0.000E+00 max_dt
rel_E_err 1.8884859238623322D-13
log_rel_run_E_err -10.3962393535786077
(age_target - star_age)/age_sigma 220 304.1935981669
reducing max timestep prior to age target 220 1.9772583880849280D+09
(age_target - star_age)/age_sigma 221 298.2409227692
reducing max timestep prior to age target 221 1.9385659980001087D+09
(age_target - star_age)/age_sigma 222 292.4073008795
reducing max timestep prior to age target 222 1.9006474557169852D+09
(age_target - star_age)/age_sigma 223 286.6903514276
reducing max timestep prior to age target 223 1.8634872842795243D+09
(age_target - star_age)/age_sigma 224 281.0877409647
reducing max timestep prior to age target 224 1.8270703162708130D+09
(age_target - star_age)/age_sigma 225 275.5971827111
reducing max timestep prior to age target 225 1.7913816876222754D+09
(age_target - star_age)/age_sigma 226 270.2164356226
reducing max timestep prior to age target 226 1.7564068315467086D+09
(age_target - star_age)/age_sigma 227 264.9433034758
reducing max timestep prior to age target 227 1.7221314725926533D+09
(age_target - star_age)/age_sigma 228 259.7756339720
reducing max timestep prior to age target 228 1.6885416208176794D+09
(age_target - star_age)/age_sigma 229 254.7113178582
reducing max timestep prior to age target 229 1.6556235660782046D+09
230 7.165666 5648.192 -0.063027 -0.063027 1.000000 1.000000 0.488307 0.004915 0.251320 -1.589186 512 0
7.5087E+00 7.165666 -0.012644 -44.496276 -1.711756 -99.000000 0.000000 0.492045 0.008829 0.017567 0.103283 10
2.9461E+09 2.066060 -0.062957 -99.000000 -99.000000 -6.872147 0.000000 0.000017 0.001992 0.019647 0.000E+00 max_dt
rel_E_err 2.0221448679293705D-13
log_rel_run_E_err -10.3773390827481045
(age_target - star_age)/age_sigma 230 249.7482880667
reducing max timestep prior to age target 230 1.6233638724335194D+09
(age_target - star_age)/age_sigma 231 244.8845188710
reducing max timestep prior to age target 231 1.5917493726617279D+09
(age_target - star_age)/age_sigma 232 240.1180250593
reducing max timestep prior to age target 232 1.5607671628853722D+09
(age_target - star_age)/age_sigma 233 235.4468611238
reducing max timestep prior to age target 233 1.5304045973045440D+09
(age_target - star_age)/age_sigma 234 230.8691204670
reducing max timestep prior to age target 234 1.5006492830353317D+09
(age_target - star_age)/age_sigma 235 226.3829346233
reducing max timestep prior to age target 235 1.4714890750515041D+09
(age_target - star_age)/age_sigma 236 221.9864724965
reducing max timestep prior to age target 236 1.4429120712273526D+09
(age_target - star_age)/age_sigma 237 217.6779396123
reducing max timestep prior to age target 237 1.4149066074796848D+09
(age_target - star_age)/age_sigma 238 213.4555773857
reducing max timestep prior to age target 238 1.3874612530069699D+09
(age_target - star_age)/age_sigma 239 209.3176624036
reducing max timestep prior to age target 239 1.3605648056237092D+09
240 7.170115 5654.413 -0.053654 -0.053654 1.000000 1.000000 0.464861 0.004956 0.249558 -1.578185 515 0
7.4209E+00 7.170115 -0.008915 -44.191056 -1.698424 -99.000000 0.000000 0.515459 0.008809 0.017458 0.105600 10
3.2353E+09 2.084061 -0.053586 -15.653560 -99.000000 -6.878799 0.000000 0.000017 0.001996 0.019680 0.000E+00 max_dt
rel_E_err 1.7552889201050953D-13
log_rel_run_E_err -10.3595058175621997
(age_target - star_age)/age_sigma 240 205.2625057212
reducing max timestep prior to age target 240 1.3342062871881142D+09
(age_target - star_age)/age_sigma 241 201.2884521725
reducing max timestep prior to age target 241 1.3083749391212306D+09
(age_target - star_age)/age_sigma 242 197.3938796947
reducing max timestep prior to age target 242 1.2830602180156846D+09
(age_target - star_age)/age_sigma 243 193.5771986665
reducing max timestep prior to age target 243 1.2582517913322496D+09
(age_target - star_age)/age_sigma 244 189.8368512588
reducing max timestep prior to age target 244 1.2339395331824837D+09
(age_target - star_age)/age_sigma 245 186.1713107993
reducing max timestep prior to age target 245 1.2101135201957130D+09
(age_target - star_age)/age_sigma 246 182.5790811490
reducing max timestep prior to age target 246 1.1867640274686780D+09
(age_target - star_age)/age_sigma 247 179.0586960917
reducing max timestep prior to age target 247 1.1638815245961833D+09
(age_target - star_age)/age_sigma 248 175.6087187356
reducing max timestep prior to age target 248 1.1414566717811384D+09
(age_target - star_age)/age_sigma 249 172.2277409265
reducing max timestep prior to age target 249 1.1194803160223942D+09
250 7.173870 5659.388 -0.045862 -0.045862 1.000000 1.000000 0.445516 0.004994 0.248034 -1.568847 515 0
7.3332E+00 7.173870 -0.005784 -43.936925 -1.686995 -99.000000 0.000000 0.534779 0.008786 0.017364 0.107617 10
3.4716E+09 2.099224 -0.045796 -15.255620 -99.000000 -6.884350 0.000000 0.000018 0.001999 0.019705 0.000E+00 max_dt
rel_E_err 1.8022394355132130D-13
log_rel_run_E_err -10.3423660493538456
(age_target - star_age)/age_sigma 250 168.9143826737
reducing max timestep prior to age target 250 1.0979434873788252D+09
save LOGS/profile6.data for model 250
save photos/x250 for model 250
(age_target - star_age)/age_sigma 252 162.4202004981
reducing max timestep prior to age target 252 1.0557313032374306D+09
(age_target - star_age)/age_sigma 253 159.2380512320
reducing max timestep prior to age target 253 1.0350473330081468D+09
(age_target - star_age)/age_sigma 254 156.1195449513
reducing max timestep prior to age target 254 1.0147770421834488D+09
(age_target - star_age)/age_sigma 255 153.0634087962
reducing max timestep prior to age target 255 9.9491215717524481D+08
(age_target - star_age)/age_sigma 256 150.0683953642
reducing max timestep prior to age target 256 9.7544456986720467D+08
(age_target - star_age)/age_sigma 257 147.1332822008
reducing max timestep prior to age target 257 9.5636633430532551D+08
(age_target - star_age)/age_sigma 258 144.2568713007
reducing max timestep prior to age target 258 9.3766966345468378D+08
(age_target - star_age)/age_sigma 259 141.4379886186
reducing max timestep prior to age target 259 9.1934692602105522D+08
260 7.177082 5663.386 -0.039294 -0.039294 1.000000 1.000000 0.429284 0.005030 0.246799 -1.560818 515 0
7.2542E+00 7.177082 -0.003114 -43.722024 -1.677101 -99.000000 0.000000 0.550992 0.008762 0.017287 0.109389 10
3.6681E+09 2.112175 -0.039229 -15.255620 -99.000000 -6.889026 0.000000 0.000018 0.002001 0.019725 0.000E+00 max_dt
rel_E_err 1.9072265046417975D-13
log_rel_run_E_err -10.3254980945692640
(age_target - star_age)/age_sigma 260 138.6754835902
reducing max timestep prior to age target 260 9.0139064333609915D+08
(age_target - star_age)/age_sigma 261 135.9682286623
reducing max timestep prior to age target 261 8.8379348630484200D+08
(age_target - star_age)/age_sigma 262 133.3151188330
reducing max timestep prior to age target 262 8.6654827241420984D+08
(age_target - star_age)/age_sigma 263 130.7150712002
reducing max timestep prior to age target 263 8.4964796280139065D+08
(age_target - star_age)/age_sigma 264 128.1670245201
reducing max timestep prior to age target 264 8.3308565938082790D+08
(age_target - star_age)/age_sigma 265 125.6699387736
reducing max timestep prior to age target 265 8.1685460202867651D+08
(age_target - star_age)/age_sigma 266 123.2227947421
reducing max timestep prior to age target 266 8.0094816582356787D+08
(age_target - star_age)/age_sigma 267 120.8245935912
reducing max timestep prior to age target 267 7.8535985834256124D+08
(age_target - star_age)/age_sigma 268 118.4743564633
reducing max timestep prior to age target 268 7.7008331701117516D+08
(age_target - star_age)/age_sigma 269 116.1711240779
reducing max timestep prior to age target 269 7.5511230650641632D+08
270 7.179778 5666.608 -0.033840 -0.033840 1.000000 1.000000 0.415891 0.005064 0.245807 -1.554074 522 0
7.1665E+00 7.179778 -0.000882 -43.543346 -1.668708 -99.000000 0.000000 0.564369 0.008737 0.017225 0.110908 10
3.8291E+09 2.123020 -0.033778 -99.000000 -99.000000 -6.892913 0.000000 0.000018 0.002003 0.019740 0.000E+00 max_dt
rel_E_err 1.9696591366622832D-13
log_rel_run_E_err -10.3085520626968172
(age_target - star_age)/age_sigma 270 113.9139563403
reducing max timestep prior to age target 270 7.4044071621175289D+08
(age_target - star_age)/age_sigma 271 111.7019319574
reducing max timestep prior to age target 271 7.2606255772298288D+08
(age_target - star_age)/age_sigma 272 109.5341480622
reducing max timestep prior to age target 272 7.1197196240398836D+08
(age_target - star_age)/age_sigma 273 107.4097198448
reducing max timestep prior to age target 273 6.9816317899137306D+08
(age_target - star_age)/age_sigma 274 105.3277801918
reducing max timestep prior to age target 274 6.8463057124701071D+08
(age_target - star_age)/age_sigma 275 103.2874793319
reducing max timestep prior to age target 275 6.7136861565753555D+08
(age_target - star_age)/age_sigma 276 101.2879844892
reducing max timestep prior to age target 276 6.5837189917984962D+08
(age_target - star_age)/age_sigma 277 99.3284795433
reducing max timestep prior to age target 277 6.4563511703171730D+08
(age_target - star_age)/age_sigma 278 97.4081646964
reducing max timestep prior to age target 278 6.3315307052654791D+08
(age_target - star_age)/age_sigma 279 95.5262561464
reducing max timestep prior to age target 279 6.2092066495148230D+08
280 7.182023 5669.128 -0.029357 -0.029357 1.000000 1.000000 0.404877 0.005094 0.245007 -1.548429 522 0
7.0787E+00 7.182023 0.000972 -43.395614 -1.661670 -99.000000 0.000000 0.575371 0.008714 0.017175 0.112199 5
3.9606E+09 2.132052 -0.029296 -15.176439 -99.000000 -6.896095 0.000000 0.000019 0.002005 0.019752 0.000E+00 max_dt
rel_E_err 1.8252646973309397D-13
log_rel_run_E_err -10.2926045741454182
(age_target - star_age)/age_sigma 280 93.6819857674
reducing max timestep prior to age target 280 6.0893290748791742D+08
(age_target - star_age)/age_sigma 281 91.8746007959
reducing max timestep prior to age target 281 5.9718490517362404D+08
(age_target - star_age)/age_sigma 282 90.1033635239
reducing max timestep prior to age target 282 5.8567186290561628D+08
(age_target - star_age)/age_sigma 283 88.3675509974
reducing max timestep prior to age target 283 5.7438908148296833D+08
(age_target - star_age)/age_sigma 284 86.6664547213
reducing max timestep prior to age target 284 5.6333195568877411D+08
(age_target - star_age)/age_sigma 285 84.9993803708
reducing max timestep prior to age target 285 5.5249597241046381D+08
(age_target - star_age)/age_sigma 287 81.7319146438
reducing max timestep prior to age target 287 5.3125744518497515D+08
(age_target - star_age)/age_sigma 288 80.1308564376
reducing max timestep prior to age target 288 5.2085056684448624D+08
(age_target - star_age)/age_sigma 289 78.5618193955
reducing max timestep prior to age target 289 5.1065182607080650D+08
290 7.183903 5671.155 -0.025640 -0.025640 1.000000 1.000000 0.395759 0.005121 0.244356 -1.543695 522 0
6.9998E+00 7.183903 0.002520 -43.272676 -1.655741 -99.000000 0.000000 0.584480 0.008692 0.017135 0.113297 5
4.0688E+09 2.139607 -0.025580 -15.477469 -99.000000 -6.898729 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt
rel_E_err 1.9330548907479278D-13
log_rel_run_E_err -10.2767954158114261
(age_target - star_age)/age_sigma 290 77.0241630942
reducing max timestep prior to age target 290 5.0065706011260033D+08
(age_target - star_age)/age_sigma 291 75.5172599190
reducing max timestep prior to age target 291 4.9086218947355843D+08
(age_target - star_age)/age_sigma 292 74.0404948073
reducing max timestep prior to age target 292 4.8126321624729729D+08
(age_target - star_age)/age_sigma 293 72.5932649978
reducing max timestep prior to age target 293 4.7185622248556137D+08
(age_target - star_age)/age_sigma 294 71.1749797845
reducing max timestep prior to age target 294 4.6263736859906006D+08
(age_target - star_age)/age_sigma 295 69.7850602754
reducing max timestep prior to age target 295 4.5360289179028893D+08
(age_target - star_age)/age_sigma 296 68.4229391566
reducing max timestep prior to age target 296 4.4474910451769304D+08
(age_target - star_age)/age_sigma 297 67.0880604601
reducing max timestep prior to age target 297 4.3607239299054956D+08
(age_target - star_age)/age_sigma 298 65.7798793375
reducing max timestep prior to age target 298 4.2756921569394827D+08
(age_target - star_age)/age_sigma 299 64.4978618374
reducing max timestep prior to age target 299 4.1923610194327927D+08
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
300 7.185481 5672.792 -0.022545 -0.022545 1.000000 1.000000 0.388179 0.005144 0.243822 -1.539733 522 0
6.9120E+00 7.185481 0.003816 -43.170018 -1.650739 -99.000000 0.000000 0.592053 0.008672 0.017101 0.114231 5
4.1584E+09 2.145933 -0.022487 -15.477469 -99.000000 -6.900918 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt
rel_E_err 1.8767213904629800D-13
log_rel_run_E_err -10.2620958297567437
(age_target - star_age)/age_sigma 300 63.2414846873
reducing max timestep prior to age target 300 4.1106965046762371D+08
save LOGS/profile7.data for model 300
save photos/x300 for model 300
(age_target - star_age)/age_sigma 301 62.0102350802
reducing max timestep prior to age target 301 4.0306652802148151D+08
(age_target - star_age)/age_sigma 302 60.8036104653
reducing max timestep prior to age target 302 3.9522346802426195D+08
(age_target - star_age)/age_sigma 303 59.6211183426
reducing max timestep prior to age target 303 3.8753726922698641D+08
(age_target - star_age)/age_sigma 304 58.4622760624
reducing max timestep prior to age target 304 3.8000479440565681D+08
(age_target - star_age)/age_sigma 305 57.3266106278
reducing max timestep prior to age target 305 3.7262296908075333D+08
(age_target - star_age)/age_sigma 306 56.2136585019
reducing max timestep prior to age target 306 3.6538878026234865D+08
(age_target - star_age)/age_sigma 307 55.1229654185
reducing max timestep prior to age target 307 3.5829927522031116D+08
(age_target - star_age)/age_sigma 308 54.0540861968
reducing max timestep prior to age target 308 3.5135156027911520D+08
(age_target - star_age)/age_sigma 309 53.0065845595
reducing max timestep prior to age target 309 3.4454279963674307D+08
310 7.186785 5674.117 -0.020002 -0.020002 1.000000 1.000000 0.381960 0.005165 0.243360 -1.536458 522 0
6.8243E+00 7.186785 0.004885 -43.085508 -1.646585 -99.000000 0.000000 0.598266 0.008654 0.017073 0.115011 5
4.2316E+09 2.151154 -0.019944 -15.653560 -99.000000 -6.902721 0.000000 0.000019 0.002008 0.019774 0.000E+00 max_dt
rel_E_err 1.7630376395161839D-13
log_rel_run_E_err -10.2474677984491631
(age_target - star_age)/age_sigma 310 51.9800329550
reducing max timestep prior to age target 310 3.3787021420721817D+08
(age_target - star_age)/age_sigma 311 50.9740123825
reducing max timestep prior to age target 311 3.3133108048628378D+08
(age_target - star_age)/age_sigma 312 49.9881122215
reducing max timestep prior to age target 312 3.2492272943976831D+08
(age_target - star_age)/age_sigma 313 49.0219300637
reducing max timestep prior to age target 313 3.1864254541418314D+08
(age_target - star_age)/age_sigma 314 48.0750715491
reducing max timestep prior to age target 314 3.1248796506910944D+08
(age_target - star_age)/age_sigma 315 47.1471502048
reducing max timestep prior to age target 315 3.0645647633093739D+08
(age_target - star_age)/age_sigma 316 46.2377872873
reducing max timestep prior to age target 316 3.0054561736752844D+08
(age_target - star_age)/age_sigma 317 45.3466116282
reducing max timestep prior to age target 317 2.9475297558338785D+08
(age_target - star_age)/age_sigma 318 44.4732594823
reducing max timestep prior to age target 318 2.8907618663493013D+08
(age_target - star_age)/age_sigma 319 43.6173743793
reducing max timestep prior to age target 319 2.8351293346544123D+08
320 7.187860 5675.182 -0.017915 -0.017915 1.000000 1.000000 0.376862 0.005182 0.242980 -1.533760 522 0
6.7366E+00 7.187860 0.005764 -43.016019 -1.643145 -99.000000 0.000000 0.603359 0.008639 0.017049 0.115660 5
4.2914E+09 2.155456 -0.017858 -99.000000 -99.000000 -6.904202 0.000000 0.000020 0.002009 0.019779 0.000E+00 max_dt
rel_E_err 1.8008705667424123D-13
log_rel_run_E_err -10.2331202989183119
(age_target - star_age)/age_sigma 321 41.9398395774
reducing max timestep prior to age target 321 2.7260895725324345D+08
(age_target - star_age)/age_sigma 322 41.1178475245
reducing max timestep prior to age target 322 2.6726600890926647D+08
(age_target - star_age)/age_sigma 323 40.3122953126
reducing max timestep prior to age target 323 2.6202991953216934D+08
(age_target - star_age)/age_sigma 324 39.5228541450
reducing max timestep prior to age target 324 2.5689855194261456D+08
(age_target - star_age)/age_sigma 325 38.7492018007
reducing max timestep prior to age target 325 2.5186981170485020D+08
(age_target - star_age)/age_sigma 326 37.9910225034
reducing max timestep prior to age target 326 2.4694164627184105D+08
(age_target - star_age)/age_sigma 327 37.2480067919
reducing max timestep prior to age target 327 2.4211204414749241D+08
(age_target - star_age)/age_sigma 328 36.5198513947
reducing max timestep prior to age target 328 2.3737903406563091D+08
(age_target - star_age)/age_sigma 329 35.8062591054
reducing max timestep prior to age target 329 2.3274068418540668D+08
330 7.188764 5676.059 -0.016170 -0.016170 1.000000 1.000000 0.372600 0.005198 0.242666 -1.531495 522 0
6.6576E+00 7.188764 0.006503 -42.957777 -1.640246 -99.000000 0.000000 0.607618 0.008625 0.017029 0.116210 5
4.3413E+09 2.159068 -0.016113 -99.000000 -99.000000 -6.905439 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt
rel_E_err 1.8451687719945163D-13
log_rel_run_E_err -10.2194840195567789
(age_target - star_age)/age_sigma 330 35.1069386620
reducing max timestep prior to age target 330 2.2819510130278587D+08
(age_target - star_age)/age_sigma 331 34.4216046274
reducing max timestep prior to age target 331 2.2374043007781792D+08
(age_target - star_age)/age_sigma 332 33.7499772734
reducing max timestep prior to age target 332 2.1937485227734947D+08
(age_target - star_age)/age_sigma 333 33.0917824666
reducing max timestep prior to age target 333 2.1509658603289032D+08
(age_target - star_age)/age_sigma 334 32.4467515559
reducing max timestep prior to age target 334 2.1090388511332130D+08
(age_target - star_age)/age_sigma 335 31.8146212634
reducing max timestep prior to age target 335 2.0679503821214294D+08
(age_target - star_age)/age_sigma 336 31.1951335768
reducing max timestep prior to age target 336 2.0276836824898815D+08
(age_target - star_age)/age_sigma 337 30.5880356439
reducing max timestep prior to age target 337 1.9882223168509674D+08
(age_target - star_age)/age_sigma 338 29.9930796696
reducing max timestep prior to age target 338 1.9495501785248280D+08
(age_target - star_age)/age_sigma 339 29.4100228148
reducing max timestep prior to age target 339 1.9116514829652119D+08
340 7.189507 5676.767 -0.014740 -0.014740 1.000000 1.000000 0.369110 0.005210 0.242411 -1.529633 522 0
6.5699E+00 7.189507 0.007109 -42.909981 -1.637856 -99.000000 0.000000 0.611105 0.008614 0.017014 0.116665 5
4.3820E+09 2.162036 -0.014684 -99.000000 -99.000000 -6.906452 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt
rel_E_err 1.8852732390118749D-13
log_rel_run_E_err -10.2060838758631736
(age_target - star_age)/age_sigma 340 28.8386270972
reducing max timestep prior to age target 340 1.8745107613167858D+08
(age_target - star_age)/age_sigma 341 28.2786592939
reducing max timestep prior to age target 341 1.8381128541013336D+08
(age_target - star_age)/age_sigma 342 27.7298908466
reducing max timestep prior to age target 342 1.8024429050301838D+08
(age_target - star_age)/age_sigma 343 27.1920977683
reducing max timestep prior to age target 343 1.7674863549404621D+08
(age_target - star_age)/age_sigma 344 26.6650605516
reducing max timestep prior to age target 344 1.7332289358525276D+08
(age_target - star_age)/age_sigma 345 26.1485640792
reducing max timestep prior to age target 345 1.6996566651463604D+08
(age_target - star_age)/age_sigma 346 25.6423975362
reducing max timestep prior to age target 346 1.6667558398543167D+08
(age_target - star_age)/age_sigma 347 25.1463543241
reducing max timestep prior to age target 347 1.6345130310681152D+08
(age_target - star_age)/age_sigma 348 24.6602319763
reducing max timestep prior to age target 348 1.6029150784576321D+08
(age_target - star_age)/age_sigma 349 24.1838320754
reducing max timestep prior to age target 349 1.5719490848993587D+08
350 7.190118 5677.340 -0.013569 -0.013569 1.000000 1.000000 0.366252 0.005221 0.242204 -1.528104 522 0
6.4821E+00 7.190118 0.007607 -42.870787 -1.635888 -99.000000 0.000000 0.613961 0.008604 0.017001 0.117041 5
4.4153E+09 2.164473 -0.013514 -15.653560 -99.000000 -6.907280 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt
rel_E_err 1.8594074143855681D-13
log_rel_run_E_err -10.1931760041708159
(age_target - star_age)/age_sigma 350 23.7169601725
reducing max timestep prior to age target 350 1.5416024112122536D+08
save LOGS/profile8.data for model 350
save photos/x350 for model 350
(age_target - star_age)/age_sigma 351 23.2594257077
reducing max timestep prior to age target 351 1.5118626709988880D+08
(age_target - star_age)/age_sigma 352 22.8110419322
reducing max timestep prior to age target 352 1.4827177255897903D+08
(age_target - star_age)/age_sigma 353 22.3716258321
reducing max timestep prior to age target 353 1.4541556790888786D+08
(age_target - star_age)/age_sigma 354 21.9409980541
reducing max timestep prior to age target 354 1.4261648735179806D+08
(age_target - star_age)/age_sigma 355 21.5189828317
reducing max timestep prior to age target 355 1.3987338840585041D+08
(age_target - star_age)/age_sigma 357 20.6918329957
reducing max timestep prior to age target 357 1.3449691447179222D+08
(age_target - star_age)/age_sigma 358 20.2865295760
reducing max timestep prior to age target 358 1.3186244224410343D+08
(age_target - star_age)/age_sigma 359 19.8893322248
reducing max timestep prior to age target 359 1.2928065946096897D+08
360 7.190623 5677.808 -0.012603 -0.012603 1.000000 1.000000 0.363895 0.005230 0.242035 -1.526840 522 0
6.4031E+00 7.190623 0.008018 -42.838421 -1.634258 -99.000000 0.000000 0.616315 0.008596 0.016990 0.117354 5
4.4427E+09 2.166487 -0.012548 -15.954590 -99.000000 -6.907962 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt
rel_E_err 1.9294371605968506D-13
log_rel_run_E_err -10.1806641617210101
(age_target - star_age)/age_sigma 360 19.5000788205
reducing max timestep prior to age target 360 1.2675051233349705D+08
(age_target - star_age)/age_sigma 361 19.1186104844
reducing max timestep prior to age target 361 1.2427096814857483D+08
(age_target - star_age)/age_sigma 362 18.7447715150
reducing max timestep prior to age target 362 1.2184101484735107D+08
(age_target - star_age)/age_sigma 363 18.3784093249
reducing max timestep prior to age target 363 1.1945966061215115D+08
(age_target - star_age)/age_sigma 364 18.0193743787
reducing max timestep prior to age target 364 1.1712593346165562D+08
(age_target - star_age)/age_sigma 365 17.6675201314
reducing max timestep prior to age target 365 1.1483888085416985D+08
(age_target - star_age)/age_sigma 366 17.3227029691
reducing max timestep prior to age target 366 1.1259756929883385D+08
(age_target - star_age)/age_sigma 367 16.9847821499
reducing max timestep prior to age target 367 1.1040108397460461D+08
(age_target - star_age)/age_sigma 368 16.6536197472
reducing max timestep prior to age target 368 1.0824852835686016D+08
(age_target - star_age)/age_sigma 369 16.3290805925
reducing max timestep prior to age target 369 1.0613902385147095D+08
370 7.191042 5678.192 -0.011803 -0.011803 1.000000 1.000000 0.361943 0.005238 0.241895 -1.525790 522 0
6.3154E+00 7.191042 0.008359 -42.811575 -1.632903 -99.000000 0.000000 0.618266 0.008589 0.016981 0.117614 5
4.4654E+09 2.168159 -0.011748 -99.000000 -99.000000 -6.908527 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt
rel_E_err 1.8291443012099215D-13
log_rel_run_E_err -10.1685352077835169
(age_target - star_age)/age_sigma 370 16.0110322210
reducing max timestep prior to age target 370 1.0407170943618870D+08
(age_target - star_age)/age_sigma 371 15.6993448168
reducing max timestep prior to age target 371 1.0204574130921268D+08
(age_target - star_age)/age_sigma 372 15.3938911607
reducing max timestep prior to age target 372 1.0006029254477596D+08
(age_target - star_age)/age_sigma 373 15.0945465778
reducing max timestep prior to age target 373 9.8114552755627632D+07
(age_target - star_age)/age_sigma 374 14.8011888865
reducing max timestep prior to age target 374 9.6207727762262344D+07
(age_target - star_age)/age_sigma 375 14.5136983490
reducing max timestep prior to age target 375 9.4339039268764496D+07
(age_target - star_age)/age_sigma 376 14.2319576223
reducing max timestep prior to age target 376 9.2507724545137405D+07
(age_target - star_age)/age_sigma 377 13.9558517102
reducing max timestep prior to age target 377 9.0713036115982056D+07
(age_target - star_age)/age_sigma 378 13.6852679162
reducing max timestep prior to age target 378 8.8954241455410004D+07
(age_target - star_age)/age_sigma 379 13.4200957982
reducing max timestep prior to age target 379 8.7230622688049316D+07
380 7.191386 5678.505 -0.011148 -0.011148 1.000000 1.000000 0.360346 0.005244 0.241781 -1.524930 522 0
6.2277E+00 7.191386 0.008638 -42.789595 -1.631791 -99.000000 0.000000 0.619862 0.008583 0.016974 0.117828 5
4.4840E+09 2.169529 -0.011094 -99.000000 -99.000000 -6.908990 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt
rel_E_err 1.8843402426700752D-13
log_rel_run_E_err -10.1566220428556999
(age_target - star_age)/age_sigma 380 13.1602271225
reducing max timestep prior to age target 380 8.5541476296035767D+07
(age_target - star_age)/age_sigma 381 12.9055558203
reducing max timestep prior to age target 381 8.3886112831862450D+07
(age_target - star_age)/age_sigma 382 12.6559779441
reducing max timestep prior to age target 382 8.2263856636972427D+07
(age_target - star_age)/age_sigma 383 12.4113916255
reducing max timestep prior to age target 383 8.0674045565980911D+07
(age_target - star_age)/age_sigma 384 12.1716970333
reducing max timestep prior to age target 384 7.9116030716408730D+07
(age_target - star_age)/age_sigma 385 11.9367963329
reducing max timestep prior to age target 385 7.7589176163826942D+07
(age_target - star_age)/age_sigma 386 11.7065936465
reducing max timestep prior to age target 386 7.6092858702298164D+07
(age_target - star_age)/age_sigma 387 11.4809950138
reducing max timestep prior to age target 387 7.4626467590000153D+07
(age_target - star_age)/age_sigma 388 11.2599083538
reducing max timestep prior to age target 388 7.3189404299947739D+07
(age_target - star_age)/age_sigma 389 11.0432434270
reducing max timestep prior to age target 389 7.1781082275695801D+07
390 7.191668 5678.763 -0.010611 -0.010611 1.000000 1.000000 0.359040 0.005250 0.241688 -1.524227 523 0
6.1399E+00 7.191668 0.008867 -42.771595 -1.630878 -99.000000 0.000000 0.621167 0.008578 0.016968 0.118004 5
4.4991E+09 2.170650 -0.010557 -15.653560 -99.000000 -6.909369 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt
rel_E_err 1.9203951899058688D-13
log_rel_run_E_err -10.1450454784962147
(age_target - star_age)/age_sigma 391 10.6185801705
reducing max timestep prior to age target 391 6.9020771108162880D+07
(age_target - star_age)/age_sigma 392 10.4104951748
reducing max timestep prior to age target 392 6.7668218636072159D+07
(age_target - star_age)/age_sigma 393 10.2065718790
reducing max timestep prior to age target 393 6.6342717213422775D+07
(age_target - star_age)/age_sigma 394 10.0067270491
reducing max timestep prior to age target 394 6.5043725819226265D+07
(age_target - star_age)/age_sigma 395 9.8108791158
reducing max timestep prior to age target 395 6.3770714252914429D+07
(age_target - star_age)/age_sigma 396 9.6189481412
reducing max timestep prior to age target 396 6.2523162917927742D+07
(age_target - star_age)/age_sigma 397 9.4308557861
reducing max timestep prior to age target 397 6.1300562609641075D+07
(age_target - star_age)/age_sigma 398 9.2465252781
reducing max timestep prior to age target 398 6.0102414307520866D+07
(age_target - star_age)/age_sigma 399 9.0658813802
reducing max timestep prior to age target 399 5.8928228971442223D+07
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
400 7.191903 5678.974 -0.010164 -0.010164 1.000000 1.000000 0.357950 0.005254 0.241611 -1.523638 523 0
6.0610E+00 7.191903 0.009058 -42.756575 -1.630116 -99.000000 0.000000 0.622256 0.008574 0.016964 0.118151 4
4.5117E+09 2.171587 -0.010111 -15.954590 -99.000000 -6.909684 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt
rel_E_err 1.9351815864090554D-13
log_rel_run_E_err -10.1337427524692476
(age_target - star_age)/age_sigma 400 8.8888503603
reducing max timestep prior to age target 400 5.7777527342084885D+07
save LOGS/profile9.data for model 400
save photos/x400 for model 400
(age_target - star_age)/age_sigma 401 8.7153599608
reducing max timestep prior to age target 401 5.6649839745315552D+07
(age_target - star_age)/age_sigma 402 8.5453393693
reducing max timestep prior to age target 402 5.5544705900481224D+07
(age_target - star_age)/age_sigma 403 8.3787191896
reducing max timestep prior to age target 403 5.4461674732543945D+07
(age_target - star_age)/age_sigma 404 8.2154314135
reducing max timestep prior to age target 404 5.3400304187965393D+07
(age_target - star_age)/age_sigma 405 8.0554093930
reducing max timestep prior to age target 405 5.2360161054277420D+07
(age_target - star_age)/age_sigma 406 7.8985878128
reducing max timestep prior to age target 406 5.1340820783264160D+07
(age_target - star_age)/age_sigma 407 7.7449026643
reducing max timestep prior to age target 407 5.0341867317671776D+07
(age_target - star_age)/age_sigma 408 7.5942912187
reducing max timestep prior to age target 408 4.9362892921390533D+07
(age_target - star_age)/age_sigma 409 7.4466920020
reducing max timestep prior to age target 409 4.8403498013034821D+07
410 7.192095 5679.142 -0.009800 -0.009800 1.000000 1.000000 0.357059 0.005258 0.241548 -1.523156 522 0
5.9732E+00 7.192095 0.009214 -42.744292 -1.629492 -99.000000 0.000000 0.623146 0.008570 0.016960 0.118272 3
4.5220E+09 2.172354 -0.009748 -99.000000 -99.000000 -6.909940 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt
rel_E_err 1.9308307762280855D-13
log_rel_run_E_err -10.1227987824166163
(age_target - star_age)/age_sigma 410 7.3020447697
reducing max timestep prior to age target 410 4.7463291002846718D+07
(age_target - star_age)/age_sigma 411 7.1602904820
reducing max timestep prior to age target 411 4.6541888132862091D+07
(age_target - star_age)/age_sigma 412 7.0213712800
reducing max timestep prior to age target 412 4.5638913320277214D+07
(age_target - star_age)/age_sigma 413 6.8852304621
reducing max timestep prior to age target 413 4.4753998003943443D+07
(age_target - star_age)/age_sigma 414 6.7518124606
reducing max timestep prior to age target 414 4.3886780993936539D+07
(age_target - star_age)/age_sigma 415 6.6210628191
reducing max timestep prior to age target 415 4.3036908324130058D+07
(age_target - star_age)/age_sigma 416 6.4929281704
reducing max timestep prior to age target 416 4.2204033107719421D+07
(age_target - star_age)/age_sigma 417 6.3673562147
reducing max timestep prior to age target 417 4.1387815395637512D+07
(age_target - star_age)/age_sigma 418 6.2442956981
reducing max timestep prior to age target 418 4.0587922037796974D+07
(age_target - star_age)/age_sigma 419 6.1236963919
reducing max timestep prior to age target 419 3.9804026547113419D+07
420 7.192253 5679.282 -0.009502 -0.009502 1.000000 1.000000 0.356331 0.005261 0.241496 -1.522762 522 0
5.8855E+00 7.192253 0.009342 -42.734247 -1.628981 -99.000000 0.000000 0.623874 0.008568 0.016956 0.118370 3
4.5305E+09 2.172982 -0.009448 -99.000000 -99.000000 -6.910151 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt
rel_E_err 2.0520907498132887D-13
log_rel_run_E_err -10.1121548398979719
(age_target - star_age)/age_sigma 420 6.0055090717
reducing max timestep prior to age target 420 3.9035808966243744D+07
(age_target - star_age)/age_sigma 421 5.8896854980
reducing max timestep prior to age target 421 3.8282955736989975D+07
(age_target - star_age)/age_sigma 422 5.7761783957
reducing max timestep prior to age target 422 3.7545159572322845D+07
(age_target - star_age)/age_sigma 423 5.6649414355
reducing max timestep prior to age target 423 3.6822119330948830D+07
(age_target - star_age)/age_sigma 424 5.5559292145
reducing max timestep prior to age target 424 3.6113539894401550D+07
(age_target - star_age)/age_sigma 426 5.3422652613
reducing max timestep prior to age target 426 3.4724724198769569D+07
(age_target - star_age)/age_sigma 427 5.2375699243
reducing max timestep prior to age target 427 3.4044204507909775D+07
(age_target - star_age)/age_sigma 428 5.1349684940
reducing max timestep prior to age target 428 3.3377295210866928D+07
(age_target - star_age)/age_sigma 429 5.0344190923
reducing max timestep prior to age target 429 3.2723724099765778D+07
430 7.192383 5679.397 -0.009255 -0.009255 1.000000 1.000000 0.355730 0.005263 0.241454 -1.522436 522 0
5.8073E+00 7.192383 0.009448 -42.725951 -1.628559 -99.000000 0.000000 0.624475 0.008565 0.016954 0.118452 3
4.5374E+09 2.173500 -0.009202 -99.000000 -99.000000 -6.910325 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt
rel_E_err 1.9115317343710955D-13
log_rel_run_E_err -10.1019094115902597
(age_target - star_age)/age_sigma 430 4.9357049924
reducing max timestep prior to age target 430 3.2082082450750351D+07
(age_target - star_age)/age_sigma 431 4.8369908926
remaining steps and years until age target 431 49 3.1440440801735878D+07
(age_target - star_age)/age_sigma 432 4.7382767927
reducing max timestep prior to age target 432 3.0798799152720451D+07
(age_target - star_age)/age_sigma 433 4.6395626929
reducing max timestep prior to age target 433 3.0157157503705025D+07
(age_target - star_age)/age_sigma 434 4.5408485930
remaining steps and years until age target 434 46 2.9515515854690552D+07
(age_target - star_age)/age_sigma 435 4.4421344932
reducing max timestep prior to age target 435 2.8873874205675125D+07
(age_target - star_age)/age_sigma 436 4.3434203933
reducing max timestep prior to age target 436 2.8232232556659698D+07
(age_target - star_age)/age_sigma 437 4.2447062935
reducing max timestep prior to age target 437 2.7590590907644272D+07
(age_target - star_age)/age_sigma 438 4.1459921936
remaining steps and years until age target 438 42 2.6948949258629799D+07
(age_target - star_age)/age_sigma 439 4.0472780938
reducing max timestep prior to age target 439 2.6307307609614372D+07
440 7.192503 5679.504 -0.009028 -0.009028 1.000000 1.000000 0.355175 0.005265 0.241415 -1.522135 522 0
5.8073E+00 7.192503 0.009545 -42.718292 -1.628169 -99.000000 0.000000 0.625030 0.008563 0.016951 0.118528 3
4.5438E+09 2.173979 -0.008975 -99.000000 -99.000000 -6.910485 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt
rel_E_err 1.8859304310848412D-13
log_rel_run_E_err -10.0917317695053157
(age_target - star_age)/age_sigma 440 3.9485639939
reducing max timestep prior to age target 440 2.5665665960598946D+07
(age_target - star_age)/age_sigma 441 3.8498498941
remaining steps and years until age target 441 39 2.5024024311584473D+07
(age_target - star_age)/age_sigma 442 3.7511357942
reducing max timestep prior to age target 442 2.4382382662569046D+07
(age_target - star_age)/age_sigma 443 3.6524216944
reducing max timestep prior to age target 443 2.3740741013553619D+07
(age_target - star_age)/age_sigma 444 3.5537075945
remaining steps and years until age target 444 36 2.3099099364539146D+07
(age_target - star_age)/age_sigma 445 3.4549934947
reducing max timestep prior to age target 445 2.2457457715523720D+07
(age_target - star_age)/age_sigma 446 3.3562793948
reducing max timestep prior to age target 446 2.1815816066508293D+07
(age_target - star_age)/age_sigma 447 3.2575652950
remaining steps and years until age target 447 33 2.1174174417493820D+07
(age_target - star_age)/age_sigma 448 3.1588511952
reducing max timestep prior to age target 448 2.0532532768478394D+07
(age_target - star_age)/age_sigma 449 3.0601370953
reducing max timestep prior to age target 449 1.9890891119462967D+07
450 7.192623 5679.611 -0.008800 -0.008800 1.000000 1.000000 0.354620 0.005268 0.241376 -1.521833 522 0
5.8073E+00 7.192623 0.009643 -42.710627 -1.627778 -99.000000 0.000000 0.625584 0.008561 0.016949 0.118604 3
4.5503E+09 2.174458 -0.008747 -15.954590 -99.000000 -6.910645 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt
rel_E_err 1.7645471385281069D-13
log_rel_run_E_err -10.0819697107659128
(age_target - star_age)/age_sigma 450 2.9614229955
reducing max timestep prior to age target 450 1.9249249470447540D+07
save LOGS/profile10.data for model 450
save photos/x450 for model 450
(age_target - star_age)/age_sigma 451 2.8627088956
remaining steps and years until age target 451 29 1.8607607821433067D+07
(age_target - star_age)/age_sigma 452 2.7639947958
reducing max timestep prior to age target 452 1.7965966172417641D+07
(age_target - star_age)/age_sigma 453 2.6652806959
reducing max timestep prior to age target 453 1.7324324523402214D+07
(age_target - star_age)/age_sigma 454 2.5665665961
remaining steps and years until age target 454 26 1.6682682874387741D+07
(age_target - star_age)/age_sigma 455 2.4678524962
reducing max timestep prior to age target 455 1.6041041225372314D+07
(age_target - star_age)/age_sigma 456 2.3691383964
reducing max timestep prior to age target 456 1.5399399576356888D+07
(age_target - star_age)/age_sigma 457 2.2704242965
remaining steps and years until age target 457 23 1.4757757927342415D+07
(age_target - star_age)/age_sigma 458 2.1717101967
reducing max timestep prior to age target 458 1.4116116278326988D+07
(age_target - star_age)/age_sigma 459 2.0729960968
remaining steps and years until age target 459 21 1.3474474629312515D+07
460 7.192743 5679.717 -0.008572 -0.008572 1.000000 1.000000 0.354064 0.005270 0.241337 -1.521532 522 0
5.8073E+00 7.192743 0.009740 -42.702957 -1.627387 -99.000000 0.000000 0.626139 0.008559 0.016946 0.118679 3
4.5567E+09 2.174937 -0.008519 -99.000000 -99.000000 -6.910805 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt
rel_E_err 1.8560173203621304D-13
log_rel_run_E_err -10.0724239171738219
(age_target - star_age)/age_sigma 460 1.9742819970
remaining steps and years until age target 460 20 1.2832832980298042D+07
(age_target - star_age)/age_sigma 461 1.8755678971
reducing max timestep prior to age target 461 1.2191191331282616D+07
(age_target - star_age)/age_sigma 462 1.7768537973
remaining steps and years until age target 462 18 1.1549549682268143D+07
(age_target - star_age)/age_sigma 463 1.6781396974
reducing max timestep prior to age target 463 1.0907908033252716D+07
(age_target - star_age)/age_sigma 464 1.5794255976
remaining steps and years until age target 464 16 1.0266266384238243D+07
(age_target - star_age)/age_sigma 465 1.4807114977
reducing max timestep prior to age target 465 9.6246247352228165D+06
(age_target - star_age)/age_sigma 466 1.3819973979
remaining steps and years until age target 466 14 8.9829830862083435D+06
(age_target - star_age)/age_sigma 467 1.2832832980
reducing max timestep prior to age target 467 8.3413414371929169D+06
(age_target - star_age)/age_sigma 468 1.1845691982
remaining steps and years until age target 468 12 7.6996997881784439D+06
(age_target - star_age)/age_sigma 469 1.0858550983
remaining steps and years until age target 469 11 7.0580581391639709D+06
470 7.192864 5679.823 -0.008344 -0.008344 1.000000 1.000000 0.353509 0.005272 0.241297 -1.521230 522 0
5.8073E+00 7.192864 0.009838 -42.695283 -1.626996 -99.000000 0.000000 0.626695 0.008556 0.016944 0.118756 3
4.5631E+09 2.175417 -0.008292 -99.000000 -99.000000 -6.910965 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt
rel_E_err 1.9325832552555703D-13
log_rel_run_E_err -10.0628574398908395
(age_target - star_age)/age_sigma 470 0.9871409985
reducing max timestep prior to age target 470 6.4164164901485443D+06
(age_target - star_age)/age_sigma 471 0.8884268986
remaining steps and years until age target 471 9 5.7747748411340714D+06
(age_target - star_age)/age_sigma 472 0.7897127988
reducing max timestep prior to age target 472 5.1331331921186447D+06
(age_target - star_age)/age_sigma 473 0.6909986989
remaining steps and years until age target 473 7 4.4914915431041718D+06
(age_target - star_age)/age_sigma 474 0.5922845991
remaining steps and years until age target 474 6 3.8498498940896988D+06
(age_target - star_age)/age_sigma 475 0.4935704992
reducing max timestep prior to age target 475 3.2082082450742722D+06
(age_target - star_age)/age_sigma 476 0.3948563994
remaining steps and years until age target 476 4 2.5665665960597992D+06
(age_target - star_age)/age_sigma 477 0.2961422995
remaining steps and years until age target 477 3 1.9249249470453262D+06
(age_target - star_age)/age_sigma 478 0.1974281997
reducing max timestep prior to age target 478 1.2832832980298996D+06
(age_target - star_age)/age_sigma 479 0.0987140998
remaining steps and years until age target 479 1 6.4164164901542664D+05
480 7.192984 5679.929 -0.008117 -0.008117 1.000000 1.000000 0.352953 0.005275 0.241258 -1.520928 522 0
5.8073E+00 7.192984 0.009935 -42.687603 -1.626603 -99.000000 0.000000 0.627250 0.008554 0.016941 0.118832 3
4.5695E+09 2.175897 -0.008064 -99.000000 -99.000000 -6.911126 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt
rel_E_err 1.9516796868574525D-13
log_rel_run_E_err -10.0533743486346800
chi^2 combined, chi^2 seismo, chi^2 spectro 480 333512.84 0.00 333512.84
save outputs/best.mod 480
save outputs/best.profile for model 480
save LOGS/profile11.data for model 480
have reached age_target
save LOGS/profile11.data for model 480
solver retries 1
varcontrol dt limit 40
max increase dt limit 535
lgRho_cntr dt limit 19
model saved to final.mod
save photos/x480 for model 480
chi^2 combined, chi^2 seismo, chi^2 spectro 480 333512.84 0.00 333512.84
have reached age_target
runtime (minutes), retries, steps 2.69 0 480
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
480 7.192984 5679.929 -0.008117 -0.008117 1.000000 1.000000 0.352953 0.005275 0.241258 -1.520928 522 0
5.8073E+00 7.192984 0.009935 -42.687603 -1.626603 -99.000000 0.000000 0.627250 0.008554 0.016941 0.118832 3
4.5695E+09 2.175897 -0.008064 -99.000000 -99.000000 -6.911126 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt
rel_E_err 1.9516796868574525D-13
log_rel_run_E_err -10.0533743486346800
Teff 5679.9294383768
radius 1.0231407131
radius_obs 1.0000000000
radius_sigma 0.0010000000
radius chi2term 535.4926038620
M_H -0.0017395982
M_H_obs 0.0000000000
M_H_sigma 0.0010000000
M_H chi2term 3.0262018774
log_R 0.0099353666
delta_nu 136.8076227271
nu_max 2964.0776267827
a_div_r 0.0000000000E+00
correction_r 0.0000000000E+00
initial_mass 1.0000000000
initial_Y 0.2700000000
initial_FeH 0.0600000000
alpha 2.0000000000
f_ov 0.0000000000
age 4.5695000000E+09
chi^2 spectro 333512.8396019131
model number 480
save best model results to outputs/sample_0001.data
current set of sample results
1 2 3 4 5 6 7 8
samples version_number compiler build MESA_SDK_version math_backend date search_type
1 "2b91b1c" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20250328" "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 3.3351283960191312E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383768001E+03 1.0231407131234531E+00 -1.7395981942482778E-03 9.9353665865919549E-03 1.3680762272705550E+02 2.9640776267827341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191312E+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
retry: max residual jumped -- give up in solver 5
10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1
-5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1
-5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1
-5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
finished doing relax num steps
relax_to_radiative_core
10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0
-2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 10 3.9562810869851778D-01
20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0
7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3
1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 20 1.8246319607504208D-01
30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0
3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3
7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 30 7.8128501791382976D-08
40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0
4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3
7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 40 7.8128501791382976D-08
50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0
4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3
3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 50 7.8128501569338371D-08
60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0
5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3
1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 60 7.8128500903204556D-08
finished relax to begin radiative core 66 2.4692958051424622D-02
finished doing relax_to_radiative_core
set_initial_number_retries 0
set_uniform_initial_composition
initial_h1 6.9812046894104329D-01
initial_h2 0.0000000000000000D+00
initial_he3 2.8350000000000005D-05
initial_he4 2.8347165000000002D-01
metals GS98
relax_initial_mass to new_mass 1.0000000000000000D+00
net name basic.net
do_element_diffusion T
tau_base 4.1164335019999998D-01
atm_option: T_tau
set_cumulative_energy_error 0.0000000000000000D+00
kap_option gs98
kap_CO_option gs98_co
kap_lowT_option lowT_fa05_gs98
OMP_NUM_THREADS 4
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
(age_target - star_age)/age_sigma 1 703.0000000000
begin reducing max timestep prior to age target 1 4.5694999999999905D+09
save LOGS/profile1.data for model 1
(age_target - star_age)/age_sigma 2 703.0000000000
reducing max timestep prior to age target 2 4.5694999999999781D+09
(age_target - star_age)/age_sigma 3 703.0000000000
reducing max timestep prior to age target 3 4.5694999999999638D+09
(age_target - star_age)/age_sigma 4 703.0000000000
reducing max timestep prior to age target 4 4.5694999999999466D+09
(age_target - star_age)/age_sigma 5 703.0000000000
reducing max timestep prior to age target 5 4.5694999999999256D+09
(age_target - star_age)/age_sigma 6 703.0000000000
reducing max timestep prior to age target 6 4.5694999999999008D+09
10 6.630489 4379.911 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 0
-4.2874E+00 6.630489 0.258223 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 10
2.5959E-04 0.169401 0.037000 -20.169010 -99.000000 -6.905533 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.6509301733712680D-13
log_rel_run_E_err -11.5748836411903220
20 6.630489 4382.172 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 0
-3.4956E+00 6.630489 0.258230 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3
1.8669E-03 0.169401 0.037911 -99.000000 -99.000000 -6.906464 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.5771908077130962D-13
log_rel_run_E_err -11.2751491037524119
retry: max residual jumped -- give up in solver 24
30 6.630489 4383.871 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 1
-3.0840E+00 6.630489 0.258235 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 5
6.8828E-03 0.169401 0.038595 -99.000000 -99.000000 -6.907161 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.8666178132978358D-13
log_rel_run_E_err -11.1007103828637330
40 6.630489 4384.208 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 1
-2.2921E+00 6.630489 0.258237 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 2
3.2558E-02 0.169401 0.038732 -20.771070 -99.000000 -6.907300 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.8150002469806421D-13
log_rel_run_E_err -10.9733504070694909
50 6.630489 4384.218 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035200 458 1
-1.5003E+00 6.630489 0.258237 -99.000000 -6.245865 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 4
1.9153E-01 0.169401 0.038735 -99.000000 -99.000000 -6.907303 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.5624428618056183D-13
log_rel_run_E_err -10.8766542988134791
save LOGS/profile2.data for model 50
save photos/x050 for model 50
60 6.630489 4384.195 -4.848118 -4.848118 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035199 458 1
-7.0852E-01 6.630489 0.258236 -99.000000 -6.245864 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3
1.1758E+00 0.169401 0.038724 -99.000000 -99.000000 -6.907293 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.6159035135836143D-13
log_rel_run_E_err -10.7959460330465173
70 6.630489 4384.125 -4.848115 -4.848115 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035197 458 1
8.3295E-02 6.630489 0.258232 -99.000000 -6.245862 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3
7.2705E+00 0.169403 0.038690 -99.000000 -99.000000 -6.907260 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.6601446923060077D-13
log_rel_run_E_err -10.7300439975783721
80 6.630490 4383.985 -4.848096 -4.848096 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035186 458 1
8.7511E-01 6.630490 0.258221 -99.000000 -6.245843 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071721 3
4.5007E+01 0.169409 0.038612 -20.293948 -99.000000 -6.907190 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.7099033685129106D-13
log_rel_run_E_err -10.6720674093129340
90 6.630498 4383.807 -4.847969 -4.847969 1.000000 1.000000 0.698120 0.000928 0.283500 -4.035115 458 1
1.6669E+00 6.630498 0.258190 -99.000000 -6.245715 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071722 10
2.7866E+02 0.169452 0.038480 -99.000000 -99.000000 -6.907082 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 3.1282618182621663D-13
log_rel_run_E_err -10.6188414572488039
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
100 6.630567 4383.681 -4.847101 -4.847101 1.000000 1.000000 0.698120 0.000928 0.283500 -4.034678 458 1
2.4587E+00 6.630567 0.258094 -99.000000 -6.244847 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071727 3
1.7254E+03 0.169745 0.038237 -20.771070 -99.000000 -6.906915 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 3.5606902734135261D-13
log_rel_run_E_err -10.5558354916860075
save LOGS/profile3.data for model 100
save photos/x100 for model 100
110 6.631019 4383.144 -4.841781 -4.841781 1.000000 1.000000 0.698120 0.000928 0.283500 -4.031971 458 1
3.2505E+00 6.631019 0.257531 -99.000000 -6.239527 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071754 2
1.0683E+04 0.171590 0.036899 -99.000000 -99.000000 -6.906027 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.6282929479684094D-13
log_rel_run_E_err -10.4869266193996520
120 6.633763 4379.859 -4.809449 -4.809449 1.000000 1.000000 0.698120 0.000928 0.283500 -4.015419 458 1
4.0424E+00 6.633763 0.254107 -99.000000 -6.207192 -99.000000 0.000000 0.283500 0.008620 0.018380 0.071921 2
6.6147E+04 0.182852 0.028749 -99.000000 -99.000000 -6.900603 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 6.3530720972743364D-14
log_rel_run_E_err -10.4579397065554272
130 6.649000 4360.562 -4.629262 -4.629262 1.000000 1.000000 0.698120 0.000928 0.283500 -3.919553 458 1
4.8342E+00 6.649000 0.234921 -99.000000 -6.026990 -99.000000 0.000000 0.283500 0.008620 0.018380 0.072950 3
4.0956E+05 0.247079 -0.017294 -99.000000 -99.000000 -6.869567 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 3.8930555536417808D-12
log_rel_run_E_err -10.3809682076466476
140 6.708913 4290.429 -3.920674 -3.920674 1.000000 1.000000 0.698119 0.000928 0.283500 -3.472432 464 1
5.6260E+00 6.708913 0.159560 -99.000000 -5.318307 -99.000000 0.000000 0.283501 0.008621 0.018380 0.078932 4
2.5359E+06 0.529493 -0.196184 -19.390858 -99.000000 -6.746359 0.000000 0.003168 0.001916 0.018380 0.000E+00 max increase
rel_E_err 2.5440375695097736D-13
log_rel_run_E_err -10.2474563713630076
150 6.815648 4399.236 -2.774506 -2.774506 1.000000 1.000000 0.698113 0.000928 0.283497 -2.602706 470 1
5.8933E+00 6.815648 0.064683 -99.000000 -4.171715 -99.000000 0.000000 0.283508 0.008621 0.018379 0.092837 3
9.4753E+06 1.061104 -0.342432 -99.000000 -99.000000 -6.681717 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr
rel_E_err 8.8002422395125863D-12
log_rel_run_E_err -10.1953168256638769
save LOGS/profile4.data for model 150
save photos/x150 for model 150
160 6.965414 5076.105 -1.468424 -1.468424 1.000000 1.000000 0.698065 0.000929 0.283485 -1.783995 488 1
5.9817E+00 6.965414 0.024509 -99.000000 -2.864819 -99.000000 0.000000 0.283555 0.008621 0.018379 0.101644 4
1.9578E+07 1.628439 -0.174165 -99.000000 -99.000000 -6.795712 0.000000 0.003168 0.001916 0.018380 0.000E+00 lgRho_cntr
rel_E_err 1.8145351470868044D-13
log_rel_run_E_err -10.3309643429838278
170 7.140020 5668.448 -0.118401 -0.118401 1.000000 1.000000 0.697295 0.001910 0.283386 -1.759224 519 1
6.5254E+00 7.140020 -0.037067 -46.683666 -1.663686 -99.000000 0.000000 0.284183 0.008622 0.018373 0.083906 5
3.7541E+07 1.901364 -0.105585 -99.000000 -99.000000 -6.836106 0.000000 0.002327 0.001916 0.018522 0.000E+00 max increase
rel_E_err 1.9042104659824892D-13
log_rel_run_E_err -10.4467889532009632
(age_target - star_age)/age_sigma 173 694.9716042375
reducing max timestep prior to age target 173 4.5173154275436802D+09
180 7.139558 5674.866 -0.107165 -0.107165 1.000000 1.000000 0.690356 0.004591 0.282589 -1.692079 509 1
7.3172E+00 7.139558 -0.038723 -46.626697 -1.749255 -99.000000 0.000000 0.290726 0.008627 0.018328 0.086283 10
1.4197E+08 1.929973 -0.106929 -15.255620 -99.000000 -6.836266 0.000000 0.000033 0.001918 0.018918 0.000E+00 max increase
rel_E_err 1.8724366440314073D-13
log_rel_run_E_err -10.4280089692709428
(age_target - star_age)/age_sigma 181 677.3258369141
reducing max timestep prior to age target 181 4.4026179399413462D+09
(age_target - star_age)/age_sigma 183 667.2087998078
reducing max timestep prior to age target 183 4.3368571987506466D+09
(age_target - star_age)/age_sigma 185 652.6402663748
reducing max timestep prior to age target 185 4.2421617314360404D+09
(age_target - star_age)/age_sigma 187 631.6615782312
reducing max timestep prior to age target 187 4.1058002585030069D+09
(age_target - star_age)/age_sigma 188 619.3426343735
reducing max timestep prior to age target 188 4.0257271234280272D+09
(age_target - star_age)/age_sigma 189 607.2700693930
reducing max timestep prior to age target 189 3.9472554510545473D+09
190 7.146433 5690.967 -0.086919 -0.086919 1.000000 1.000000 0.645401 0.004648 0.278318 -1.670403 508 1
7.8859E+00 7.146433 -0.031141 -46.060442 -1.746103 -99.000000 0.000000 0.335600 0.008646 0.018080 0.089303 10
6.9915E+08 1.960791 -0.086844 -99.000000 -99.000000 -6.850818 0.000000 0.000015 0.001925 0.018999 0.000E+00 max_dt
rel_E_err 1.8256830384535022D-13
log_rel_run_E_err -10.4083274091127187
(age_target - star_age)/age_sigma 190 595.4389557121
reducing max timestep prior to age target 190 3.8703532121285372D+09
(age_target - star_age)/age_sigma 191 583.8444643048
reducing max timestep prior to age target 191 3.7949890179810467D+09
(age_target - star_age)/age_sigma 192 572.4818627256
reducing max timestep prior to age target 192 3.7211321077165065D+09
(age_target - star_age)/age_sigma 193 561.3465131780
reducing max timestep prior to age target 193 3.6487523356572571D+09
(age_target - star_age)/age_sigma 194 550.4338706214
reducing max timestep prior to age target 194 3.5778201590391922D+09
(age_target - star_age)/age_sigma 195 539.7394809159
reducing max timestep prior to age target 195 3.5083066259534888D+09
(age_target - star_age)/age_sigma 196 529.2589790045
reducing max timestep prior to age target 196 3.4401833635295000D+09
(age_target - star_age)/age_sigma 197 518.9880871314
reducing max timestep prior to age target 197 3.3734225663539906D+09
(age_target - star_age)/age_sigma 198 508.9226130957
reducing max timestep prior to age target 198 3.3079969851219912D+09
(age_target - star_age)/age_sigma 199 499.0584485407
reducing max timestep prior to age target 199 3.2438799155146322D+09
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
200 7.155900 5707.373 -0.064626 -0.064626 1.000000 1.000000 0.587115 0.004706 0.273042 -1.648742 513 1
7.7982E+00 7.155900 -0.022494 -45.340680 -1.721183 -99.000000 0.000000 0.393792 0.008653 0.017773 0.093411 10
1.3885E+09 1.999418 -0.064550 -99.000000 -99.000000 -6.867581 0.000000 0.000015 0.001935 0.019093 0.000E+00 max_dt
rel_E_err 1.9231226374349998D-13
log_rel_run_E_err -10.3894265010469784
(age_target - star_age)/age_sigma 200 489.3915672768
reducing max timestep prior to age target 200 3.1810451872994199D+09
save LOGS/profile5.data for model 200
save photos/x200 for model 200
(age_target - star_age)/age_sigma 201 479.9180236382
reducing max timestep prior to age target 201 3.1194671536485119D+09
(age_target - star_age)/age_sigma 202 470.6339508724
reducing max timestep prior to age target 202 3.0591206806706228D+09
(age_target - star_age)/age_sigma 203 461.5355595619
reducing max timestep prior to age target 203 2.9999811371522903D+09
(age_target - star_age)/age_sigma 204 452.6191360776
reducing max timestep prior to age target 204 2.9420243845043259D+09
(age_target - star_age)/age_sigma 205 443.8810410630
reducing max timestep prior to age target 205 2.8852267669093199D+09
(age_target - star_age)/age_sigma 206 435.3177079486
reducing max timestep prior to age target 206 2.8295651016662140D+09
(age_target - star_age)/age_sigma 207 426.9256414966
reducing max timestep prior to age target 207 2.7750166697279701D+09
(age_target - star_age)/age_sigma 208 418.7014163736
reducing max timestep prior to age target 208 2.7215592064284916D+09
(age_target - star_age)/age_sigma 209 410.6416757531
reducing max timestep prior to age target 209 2.6691708923950024D+09
210 7.164251 5720.075 -0.045921 -0.045921 1.000000 1.000000 0.538498 0.004767 0.268744 -1.629473 517 1
7.7105E+00 7.164251 -0.015074 -44.734964 -1.697023 -99.000000 0.000000 0.442337 0.008640 0.017519 0.097253 10
1.9517E+09 2.033235 -0.045847 -99.000000 -99.000000 -6.881795 0.000000 0.000016 0.001943 0.019165 0.000E+00 max_dt
rel_E_err 1.9165615130245788D-13
log_rel_run_E_err -10.3711171906810851
(age_target - star_age)/age_sigma 210 402.7431299450
reducing max timestep prior to age target 210 2.6178303446421824D+09
(age_target - star_age)/age_sigma 212 387.2619801610
reducing max timestep prior to age target 212 2.5172028710466566D+09
(age_target - star_age)/age_sigma 213 379.6762167669
reducing max timestep prior to age target 213 2.4678954089848490D+09
(age_target - star_age)/age_sigma 214 372.2421686407
reducing max timestep prior to age target 214 2.4195740961642771D+09
(age_target - star_age)/age_sigma 215 364.9568014769
reducing max timestep prior to age target 215 2.3722192096001167D+09
(age_target - star_age)/age_sigma 216 357.8171416565
reducing max timestep prior to age target 216 2.3258114207672400D+09
(age_target - star_age)/age_sigma 217 350.8202750325
reducing max timestep prior to age target 217 2.2803317877110205D+09
(age_target - star_age)/age_sigma 218 343.9633457409
reducing max timestep prior to age target 218 2.2357617473159251D+09
(age_target - star_age)/age_sigma 219 337.2435550352
reducing max timestep prior to age target 219 2.1920831077287321D+09
220 7.171680 5730.178 -0.029861 -0.029861 1.000000 1.000000 0.497259 0.004834 0.265193 -1.612201 516 1
7.6315E+00 7.171680 -0.008578 -44.214868 -1.674704 -99.000000 0.000000 0.483521 0.008609 0.017309 0.100861 10
2.4202E+09 2.063153 -0.029790 -15.954590 -99.000000 -6.893947 0.000000 0.000017 0.001949 0.019220 0.000E+00 max_dt
rel_E_err 1.9366141825736544D-13
log_rel_run_E_err -10.3532499772721334
(age_target - star_age)/age_sigma 220 330.6581601436
reducing max timestep prior to age target 220 2.1492780409332833D+09
(age_target - star_age)/age_sigma 221 324.2044731498
reducing max timestep prior to age target 221 2.1073290754737430D+09
(age_target - star_age)/age_sigma 222 317.8798598959
reducing max timestep prior to age target 222 2.0662190893233933D+09
(age_target - star_age)/age_sigma 223 311.6817389071
reducing max timestep prior to age target 223 2.0259313028960509D+09
(age_target - star_age)/age_sigma 224 305.6075803380
reducing max timestep prior to age target 224 1.9864492721972551D+09
(age_target - star_age)/age_sigma 225 299.6549049404
reducing max timestep prior to age target 225 1.9477568821124353D+09
(age_target - star_age)/age_sigma 226 293.8212830507
reducing max timestep prior to age target 226 1.9098383398293123D+09
(age_target - star_age)/age_sigma 227 288.1043335987
reducing max timestep prior to age target 227 1.8726781683918514D+09
(age_target - star_age)/age_sigma 228 282.5017231359
reducing max timestep prior to age target 228 1.8362612003831401D+09
(age_target - star_age)/age_sigma 229 277.0111648822
reducing max timestep prior to age target 229 1.8005725717346025D+09
230 7.178119 5737.907 -0.016350 -0.016350 1.000000 1.000000 0.462863 0.004904 0.262321 -1.597159 516 1
7.5438E+00 7.178119 -0.002995 -43.775525 -1.654821 -99.000000 0.000000 0.517876 0.008564 0.017139 0.104154 10
2.8039E+09 2.088968 -0.016283 -99.000000 -99.000000 -6.904170 0.000000 0.000018 0.001954 0.019261 0.000E+00 max_dt
rel_E_err 1.7900685274129186D-13
log_rel_run_E_err -10.3363765905339111
(age_target - star_age)/age_sigma 230 271.6304177937
reducing max timestep prior to age target 230 1.7655977156590357D+09
(age_target - star_age)/age_sigma 231 266.3572856469
reducing max timestep prior to age target 231 1.7313223567049804D+09
(age_target - star_age)/age_sigma 232 261.1896161431
reducing max timestep prior to age target 232 1.6977325049300065D+09
(age_target - star_age)/age_sigma 233 256.1253000293
reducing max timestep prior to age target 233 1.6648144501905317D+09
(age_target - star_age)/age_sigma 234 251.1622702378
reducing max timestep prior to age target 234 1.6325547565458465D+09
(age_target - star_age)/age_sigma 235 246.2985010422
reducing max timestep prior to age target 235 1.6009402567740550D+09
(age_target - star_age)/age_sigma 236 241.5320072304
reducing max timestep prior to age target 236 1.5699580469976993D+09
(age_target - star_age)/age_sigma 237 236.8608432949
reducing max timestep prior to age target 237 1.5395954814168706D+09
(age_target - star_age)/age_sigma 238 232.2831026381
reducing max timestep prior to age target 238 1.5098401671476588D+09
(age_target - star_age)/age_sigma 239 227.7969167944
reducing max timestep prior to age target 239 1.4806799591638308D+09
240 7.183634 5743.868 -0.005056 -0.005056 1.000000 1.000000 0.434282 0.004977 0.259964 -1.584212 516 1
7.4560E+00 7.183634 0.001748 -43.406551 -1.637388 -99.000000 0.000000 0.546426 0.008509 0.017000 0.107112 10
3.1174E+09 2.111019 -0.004992 -15.954590 -99.000000 -6.912670 0.000000 0.000018 0.001958 0.019292 0.000E+00 max_dt
rel_E_err 1.7994981553486543D-13
log_rel_run_E_err -10.3200068161476395
(age_target - star_age)/age_sigma 240 223.4004546676
reducing max timestep prior to age target 240 1.4521029553396797D+09
(age_target - star_age)/age_sigma 241 219.0919217834
reducing max timestep prior to age target 241 1.4240974915920115D+09
(age_target - star_age)/age_sigma 242 214.8695595568
reducing max timestep prior to age target 242 1.3966521371192966D+09
(age_target - star_age)/age_sigma 243 210.7316445748
reducing max timestep prior to age target 243 1.3697556897360363D+09
(age_target - star_age)/age_sigma 244 206.6764878924
reducing max timestep prior to age target 244 1.3433971713004413D+09
(age_target - star_age)/age_sigma 246 198.7283807949
reducing max timestep prior to age target 246 1.2917344751666737D+09
(age_target - star_age)/age_sigma 247 194.8338083171
reducing max timestep prior to age target 247 1.2664197540611281D+09
(age_target - star_age)/age_sigma 248 191.0171272889
reducing max timestep prior to age target 248 1.2416113273776932D+09
(age_target - star_age)/age_sigma 249 187.2767798812
reducing max timestep prior to age target 249 1.2172990692279272D+09
250 7.188376 5748.491 0.004439 0.004439 1.000000 1.000000 0.410340 0.005050 0.258006 -1.573041 518 1
7.3771E+00 7.188376 0.005796 -43.094436 -1.622125 -99.000000 0.000000 0.570347 0.008448 0.016884 0.109765 10
3.3760E+09 2.129940 0.004500 -99.000000 -99.000000 -6.919803 0.000000 0.000019 0.001961 0.019314 0.000E+00 max_dt
rel_E_err 1.7968661502061572D-13
log_rel_run_E_err -10.3045932402134053
(age_target - star_age)/age_sigma 250 183.6112394217
reducing max timestep prior to age target 250 1.1934730562411566D+09
save LOGS/profile6.data for model 250
save photos/x250 for model 250
(age_target - star_age)/age_sigma 251 180.0190097714
reducing max timestep prior to age target 251 1.1701235635141211D+09
(age_target - star_age)/age_sigma 252 176.4986247141
reducing max timestep prior to age target 252 1.1472410606416264D+09
(age_target - star_age)/age_sigma 253 173.0486473579
reducing max timestep prior to age target 253 1.1248162078265815D+09
(age_target - star_age)/age_sigma 254 169.6676695489
reducing max timestep prior to age target 254 1.1028398520678372D+09
(age_target - star_age)/age_sigma 255 166.3543112960
reducing max timestep prior to age target 255 1.0813030234242687D+09
(age_target - star_age)/age_sigma 256 163.1072202082
reducing max timestep prior to age target 256 1.0601969313535709D+09
(age_target - star_age)/age_sigma 257 159.9250709422
reducing max timestep prior to age target 257 1.0395129611242871D+09
(age_target - star_age)/age_sigma 258 156.8065646615
reducing max timestep prior to age target 258 1.0192426702995892D+09
(age_target - star_age)/age_sigma 259 153.7504285064
reducing max timestep prior to age target 259 9.9937778529138517D+08
260 7.192436 5752.049 0.012393 0.012393 1.000000 1.000000 0.390293 0.005122 0.256435 -1.563473 518 1
7.2893E+00 7.192436 0.009233 -42.830817 -1.608881 -99.000000 0.000000 0.590378 0.008383 0.016791 0.112119 10
3.5896E+09 2.146101 0.012450 -15.653560 -99.000000 -6.925731 0.000000 0.000020 0.001964 0.019329 0.000E+00 max_dt
rel_E_err 1.9045803568533422D-13
log_rel_run_E_err -10.2892878873037219
(age_target - star_age)/age_sigma 260 150.7554150744
reducing max timestep prior to age target 260 9.7991019798334503D+08
(age_target - star_age)/age_sigma 261 147.8203019110
reducing max timestep prior to age target 261 9.6083196242146635D+08
(age_target - star_age)/age_sigma 262 144.9438910109
reducing max timestep prior to age target 262 9.4213529157082462D+08
(age_target - star_age)/age_sigma 263 142.1250083288
reducing max timestep prior to age target 263 9.2381255413719559D+08
(age_target - star_age)/age_sigma 264 139.3625033003
reducing max timestep prior to age target 264 9.0585627145223951D+08
(age_target - star_age)/age_sigma 265 136.6552483725
reducing max timestep prior to age target 265 8.8825911442098236D+08
(age_target - star_age)/age_sigma 266 134.0021385431
reducing max timestep prior to age target 266 8.7101390053035069D+08
(age_target - star_age)/age_sigma 267 131.4020909104
reducing max timestep prior to age target 267 8.5411359091753149D+08
(age_target - star_age)/age_sigma 268 128.8540442303
reducing max timestep prior to age target 268 8.3755128749696875D+08
(age_target - star_age)/age_sigma 269 126.3569584838
reducing max timestep prior to age target 269 8.2132023014481688D+08
270 7.195855 5754.780 0.018967 0.018967 1.000000 1.000000 0.373711 0.005190 0.255140 -1.555464 517 1
7.2016E+00 7.195855 0.012106 -42.611117 -1.597601 -99.000000 0.000000 0.606949 0.008318 0.016715 0.114164 10
3.7641E+09 2.159660 0.019022 -99.000000 -99.000000 -6.930604 0.000000 0.000020 0.001966 0.019340 0.000E+00 max_dt
rel_E_err 1.8606570093808337D-13
log_rel_run_E_err -10.2746943651746818
(age_target - star_age)/age_sigma 270 123.9098144523
reducing max timestep prior to age target 270 8.0541379393970823D+08
(age_target - star_age)/age_sigma 271 121.5116133013
reducing max timestep prior to age target 271 7.8982548645870209D+08
(age_target - star_age)/age_sigma 272 119.1613761734
reducing max timestep prior to age target 272 7.7454894512731552D+08
(age_target - star_age)/age_sigma 273 116.8581437881
reducing max timestep prior to age target 273 7.5957793462255669D+08
(age_target - star_age)/age_sigma 274 114.6009760504
reducing max timestep prior to age target 274 7.4490634432789373D+08
(age_target - star_age)/age_sigma 275 112.3889516676
reducing max timestep prior to age target 275 7.3052818583912325D+08
(age_target - star_age)/age_sigma 276 110.2211677723
reducing max timestep prior to age target 276 7.1643759052012873D+08
(age_target - star_age)/age_sigma 277 108.0967395550
reducing max timestep prior to age target 277 7.0262880710751390D+08
(age_target - star_age)/age_sigma 278 106.0147999020
reducing max timestep prior to age target 278 6.8909619936315155D+08
(age_target - star_age)/age_sigma 279 103.9744990421
reducing max timestep prior to age target 279 6.7583424377367592D+08
280 7.198720 5756.894 0.024394 0.024394 1.000000 1.000000 0.360018 0.005253 0.254058 -1.548779 517 1
7.1138E+00 7.198720 0.014500 -42.428569 -1.588057 -99.000000 0.000000 0.620635 0.008257 0.016651 0.115925 10
3.9067E+09 2.170991 0.024446 -99.000000 -99.000000 -6.934617 0.000000 0.000021 0.001968 0.019347 0.000E+00 max_dt
rel_E_err 1.7855422756711613D-13
log_rel_run_E_err -10.2606103253230874
(age_target - star_age)/age_sigma 281 99.9755093567
reducing max timestep prior to age target 281 6.4984081081830406D+08
(age_target - star_age)/age_sigma 282 98.0160044108
reducing max timestep prior to age target 282 6.3710402867017221D+08
(age_target - star_age)/age_sigma 283 96.0956895638
reducing max timestep prior to age target 283 6.2462198216500282D+08
(age_target - star_age)/age_sigma 284 94.2137810138
reducing max timestep prior to age target 284 6.1238957658993673D+08
(age_target - star_age)/age_sigma 285 92.3695106348
reducing max timestep prior to age target 285 6.0040181912637186D+08
(age_target - star_age)/age_sigma 286 90.5621256634
reducing max timestep prior to age target 286 5.8865381681207848D+08
(age_target - star_age)/age_sigma 287 88.7908883914
reducing max timestep prior to age target 287 5.7714077454407072D+08
(age_target - star_age)/age_sigma 288 87.0550758648
reducing max timestep prior to age target 288 5.6585799312142324D+08
(age_target - star_age)/age_sigma 289 85.3539795888
reducing max timestep prior to age target 289 5.5480086732722902D+08
290 7.201158 5758.160 0.028946 0.028946 1.000000 1.000000 0.348496 0.005311 0.253174 -1.543092 515 1
7.0349E+00 7.201158 0.016583 -42.274240 -1.579877 -99.000000 0.000000 0.632152 0.008199 0.016598 0.117460 5
4.0255E+09 2.180623 0.028995 -15.352530 -99.000000 -6.937876 0.000000 0.000021 0.001969 0.019352 0.000E+00 max_dt
rel_E_err 1.7634559631127970D-13
log_rel_run_E_err -10.2468326255829840
(age_target - star_age)/age_sigma 290 83.6869052383
reducing max timestep prior to age target 290 5.4396488404891825D+08
(age_target - star_age)/age_sigma 291 82.0531723748
reducing max timestep prior to age target 291 5.3334562043617392D+08
(age_target - star_age)/age_sigma 292 80.4521141686
reducing max timestep prior to age target 292 5.2293874209568501D+08
(age_target - star_age)/age_sigma 293 78.8830771265
reducing max timestep prior to age target 293 5.1274000132200527D+08
(age_target - star_age)/age_sigma 294 77.3454208252
reducing max timestep prior to age target 294 5.0274523536379910D+08
(age_target - star_age)/age_sigma 295 75.8385176500
reducing max timestep prior to age target 295 4.9295036472475719D+08
(age_target - star_age)/age_sigma 296 74.3617525382
reducing max timestep prior to age target 296 4.8335139149849606D+08
(age_target - star_age)/age_sigma 297 72.9145227287
reducing max timestep prior to age target 297 4.7394439773676014D+08
(age_target - star_age)/age_sigma 298 71.4962375154
reducing max timestep prior to age target 298 4.6472554385025883D+08
(age_target - star_age)/age_sigma 299 70.1063180064
reducing max timestep prior to age target 299 4.5569106704148769D+08
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
300 7.203185 5759.479 0.032695 0.032695 1.000000 1.000000 0.339007 0.005363 0.252442 -1.538364 515 1
6.9471E+00 7.203185 0.018258 -42.146565 -1.573026 -99.000000 0.000000 0.641637 0.008147 0.016554 0.118763 5
4.1227E+09 2.188626 0.032742 -15.653560 -99.000000 -6.940621 0.000000 0.000022 0.001971 0.019355 0.000E+00 max_dt
rel_E_err 1.9037550603839878D-13
log_rel_run_E_err -10.2333753698747287
(age_target - star_age)/age_sigma 300 68.7441968875
reducing max timestep prior to age target 300 4.4683727976889181D+08
save LOGS/profile7.data for model 300
save photos/x300 for model 300
(age_target - star_age)/age_sigma 301 67.4093181910
reducing max timestep prior to age target 301 4.3816056824174833D+08
(age_target - star_age)/age_sigma 302 66.1011370685
reducing max timestep prior to age target 302 4.2965739094514704D+08
(age_target - star_age)/age_sigma 303 64.8191195684
reducing max timestep prior to age target 303 4.2132427719447803D+08
(age_target - star_age)/age_sigma 304 63.5627424183
reducing max timestep prior to age target 304 4.1315782571882296D+08
(age_target - star_age)/age_sigma 305 62.3314928112
reducing max timestep prior to age target 305 4.0515470327268028D+08
(age_target - star_age)/age_sigma 306 61.1248681962
reducing max timestep prior to age target 306 3.9731164327546072D+08
(age_target - star_age)/age_sigma 307 59.9423760736
reducing max timestep prior to age target 307 3.8962544447818518D+08
(age_target - star_age)/age_sigma 308 58.7835337934
reducing max timestep prior to age target 308 3.8209296965685558D+08
(age_target - star_age)/age_sigma 309 57.6478683588
reducing max timestep prior to age target 309 3.7471114433195210D+08
310 7.204865 5760.510 0.035774 0.035774 1.000000 1.000000 0.331203 0.005408 0.251835 -1.534436 516 1
6.8594E+00 7.204865 0.019641 -42.041184 -1.567316 -99.000000 0.000000 0.649440 0.008100 0.016518 0.119863 5
4.2020E+09 2.195260 0.035819 -99.000000 -99.000000 -6.942874 0.000000 0.000022 0.001972 0.019357 0.000E+00 max_dt
rel_E_err 1.8525496866602232D-13
log_rel_run_E_err -10.2202750303620107
(age_target - star_age)/age_sigma 310 56.5349162329
reducing max timestep prior to age target 310 3.6747695551354742D+08
(age_target - star_age)/age_sigma 311 55.4442231495
reducing max timestep prior to age target 311 3.6038745047150993D+08
(age_target - star_age)/age_sigma 312 54.3753439277
reducing max timestep prior to age target 312 3.5343973553031397D+08
(age_target - star_age)/age_sigma 313 53.3278422905
reducing max timestep prior to age target 313 3.4663097488794184D+08
(age_target - star_age)/age_sigma 314 52.3012906859
reducing max timestep prior to age target 314 3.3995838945841694D+08
(age_target - star_age)/age_sigma 315 51.2952701135
reducing max timestep prior to age target 315 3.3341925573748255D+08
(age_target - star_age)/age_sigma 317 49.3234697915
reducing max timestep prior to age target 317 3.2060255364445162D+08
(age_target - star_age)/age_sigma 318 48.3572876337
reducing max timestep prior to age target 318 3.1432236961886644D+08
(age_target - star_age)/age_sigma 319 47.4104291190
reducing max timestep prior to age target 319 3.0816778927379274D+08
320 7.206265 5761.329 0.038319 0.038319 1.000000 1.000000 0.324741 0.005448 0.251342 -1.531154 516 1
6.7804E+00 7.206265 0.020789 -41.953694 -1.562539 -99.000000 0.000000 0.655900 0.008059 0.016488 0.120794 5
4.2674E+09 2.200788 0.038363 -99.000000 -99.000000 -6.944726 0.000000 0.000022 0.001972 0.019358 0.000E+00 max_dt
rel_E_err 1.8983203596160097D-13
log_rel_run_E_err -10.2074196871807956
(age_target - star_age)/age_sigma 320 46.4825077747
reducing max timestep prior to age target 320 3.0213630053562069D+08
(age_target - star_age)/age_sigma 321 45.5731448573
reducing max timestep prior to age target 321 2.9622544157221174D+08
(age_target - star_age)/age_sigma 322 44.6819691982
reducing max timestep prior to age target 322 2.9043279978807116D+08
(age_target - star_age)/age_sigma 323 43.8086170522
reducing max timestep prior to age target 323 2.8475601083961296D+08
(age_target - star_age)/age_sigma 324 42.9527319492
reducing max timestep prior to age target 324 2.7919275767012453D+08
(age_target - star_age)/age_sigma 325 42.1139645483
reducing max timestep prior to age target 325 2.7374076956402588D+08
(age_target - star_age)/age_sigma 326 41.2919724954
reducing max timestep prior to age target 326 2.6839782122004890D+08
(age_target - star_age)/age_sigma 327 40.4864202835
reducing max timestep prior to age target 327 2.6316173184295177D+08
(age_target - star_age)/age_sigma 328 39.6969791159
reducing max timestep prior to age target 328 2.5803036425339603D+08
(age_target - star_age)/age_sigma 329 38.9233267716
reducing max timestep prior to age target 329 2.5300162401563168D+08
330 7.207435 5761.983 0.040432 0.040432 1.000000 1.000000 0.319369 0.005482 0.250939 -1.528409 516 1
6.6927E+00 7.207435 0.021746 -41.880787 -1.558533 -99.000000 0.000000 0.661272 0.008023 0.016464 0.121581 5
4.3214E+09 2.205408 0.040474 -15.653560 -99.000000 -6.946258 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt
rel_E_err 1.9567976260959451D-13
log_rel_run_E_err -10.1950699950668753
(age_target - star_age)/age_sigma 330 38.1651474742
reducing max timestep prior to age target 330 2.4807345858262348D+08
(age_target - star_age)/age_sigma 331 37.4221317628
reducing max timestep prior to age target 331 2.4324385645827484D+08
(age_target - star_age)/age_sigma 332 36.6939763656
reducing max timestep prior to age target 332 2.3851084637641335D+08
(age_target - star_age)/age_sigma 333 35.9803840763
reducing max timestep prior to age target 333 2.3387249649618816D+08
(age_target - star_age)/age_sigma 334 35.2810636329
reducing max timestep prior to age target 334 2.2932691361356831D+08
(age_target - star_age)/age_sigma 335 34.5957295982
reducing max timestep prior to age target 335 2.2487224238860035D+08
(age_target - star_age)/age_sigma 336 33.9241022443
reducing max timestep prior to age target 336 2.2050666458813190D+08
(age_target - star_age)/age_sigma 337 33.2659074375
reducing max timestep prior to age target 337 2.1622839834367275D+08
(age_target - star_age)/age_sigma 338 32.6208765268
reducing max timestep prior to age target 338 2.1203569742410278D+08
(age_target - star_age)/age_sigma 339 31.9887462343
reducing max timestep prior to age target 339 2.0792685052292538D+08
340 7.208398 5762.501 0.042162 0.042162 1.000000 1.000000 0.314963 0.005512 0.250611 -1.526145 516 1
6.6049E+00 7.208398 0.022533 -41.820863 -1.555225 -99.000000 0.000000 0.665678 0.007993 0.016444 0.122237 5
4.3656E+09 2.209215 0.042204 -99.000000 -99.000000 -6.947510 0.000000 0.000023 0.001973 0.019359 0.000E+00 max_dt
rel_E_err 1.6366762789946633D-13
log_rel_run_E_err -10.1831654220910810
(age_target - star_age)/age_sigma 340 31.3692585477
reducing max timestep prior to age target 340 2.0390018055977058D+08
(age_target - star_age)/age_sigma 341 30.7621606148
reducing max timestep prior to age target 341 1.9995404399587822D+08
(age_target - star_age)/age_sigma 342 30.1672046405
reducing max timestep prior to age target 342 1.9608683016326427D+08
(age_target - star_age)/age_sigma 343 29.5841477857
reducing max timestep prior to age target 343 1.9229696060730267D+08
(age_target - star_age)/age_sigma 344 29.0127520681
reducing max timestep prior to age target 344 1.8858288844246006D+08
(age_target - star_age)/age_sigma 345 28.4527842648
reducing max timestep prior to age target 345 1.8494309772091484D+08
(age_target - star_age)/age_sigma 346 27.9040158175
reducing max timestep prior to age target 346 1.8137610281380081D+08
(age_target - star_age)/age_sigma 347 27.3662227392
reducing max timestep prior to age target 347 1.7788044780482864D+08
(age_target - star_age)/age_sigma 348 26.8391855225
reducing max timestep prior to age target 348 1.7445470589603519D+08
(age_target - star_age)/age_sigma 349 26.3226890501
reducing max timestep prior to age target 349 1.7109747882541847D+08
350 7.209191 5762.914 0.043580 0.043580 1.000000 1.000000 0.311350 0.005536 0.250344 -1.524280 516 1
6.5172E+00 7.209191 0.023179 -41.771665 -1.552497 -99.000000 0.000000 0.669290 0.007967 0.016428 0.122782 5
4.4017E+09 2.212348 0.043620 -15.653560 -99.000000 -6.948532 0.000000 0.000023 0.001974 0.019360 0.000E+00 max_dt
rel_E_err 1.5964713271923682D-13
log_rel_run_E_err -10.1719276209862937
save LOGS/profile8.data for model 350
save photos/x350 for model 350
(age_target - star_age)/age_sigma 351 25.3103559642
reducing max timestep prior to age target 351 1.6451731376700878D+08
(age_target - star_age)/age_sigma 352 24.8143127521
reducing max timestep prior to age target 352 1.6129303288838863D+08
(age_target - star_age)/age_sigma 353 24.3281904042
reducing max timestep prior to age target 353 1.5813323762734032D+08
(age_target - star_age)/age_sigma 354 23.8517905033
reducing max timestep prior to age target 354 1.5503663827151299D+08
(age_target - star_age)/age_sigma 355 23.3849186004
reducing max timestep prior to age target 355 1.5200197090280247D+08
(age_target - star_age)/age_sigma 356 22.9273841356
reducing max timestep prior to age target 356 1.4902799688146591D+08
(age_target - star_age)/age_sigma 357 22.4790003601
reducing max timestep prior to age target 357 1.4611350234055710D+08
(age_target - star_age)/age_sigma 358 22.0395842601
reducing max timestep prior to age target 358 1.4325729769046497D+08
(age_target - star_age)/age_sigma 359 21.6089564821
reducing max timestep prior to age target 359 1.4045821713337517D+08
360 7.209856 5763.251 0.044763 0.044763 1.000000 1.000000 0.308330 0.005557 0.250123 -1.522713 516 1
6.4382E+00 7.209856 0.023720 -41.730488 -1.550206 -99.000000 0.000000 0.672310 0.007945 0.016415 0.123242 5
4.4318E+09 2.214975 0.044803 -15.176439 -99.000000 -6.949384 0.000000 0.000023 0.001974 0.019360 0.000E+00 max_dt
rel_E_err 1.7266734612600840D-13
log_rel_run_E_err -10.1606845029116997
(age_target - star_age)/age_sigma 360 21.1869412596
reducing max timestep prior to age target 360 1.3771511818742752D+08
(age_target - star_age)/age_sigma 361 20.7733663416
reducing max timestep prior to age target 361 1.3502688122039890D+08
(age_target - star_age)/age_sigma 362 20.3680629220
reducing max timestep prior to age target 362 1.3239240899271011D+08
(age_target - star_age)/age_sigma 363 19.9708655707
reducing max timestep prior to age target 363 1.2981062620957565D+08
(age_target - star_age)/age_sigma 364 19.5816121665
reducing max timestep prior to age target 364 1.2728047908210373D+08
(age_target - star_age)/age_sigma 365 19.2001438303
reducing max timestep prior to age target 365 1.2480093489718056D+08
(age_target - star_age)/age_sigma 366 18.8263048609
reducing max timestep prior to age target 366 1.2237098159595680D+08
(age_target - star_age)/age_sigma 367 18.4599426709
reducing max timestep prior to age target 367 1.1998962736075783D+08
(age_target - star_age)/age_sigma 368 18.1009077247
reducing max timestep prior to age target 368 1.1765590021026230D+08
(age_target - star_age)/age_sigma 369 17.7490534774
reducing max timestep prior to age target 369 1.1536884760277653D+08
370 7.210401 5763.521 0.045732 0.045732 1.000000 1.000000 0.305857 0.005575 0.249943 -1.521426 516 1
6.3505E+00 7.210401 0.024163 -41.696726 -1.548322 -99.000000 0.000000 0.674784 0.007926 0.016404 0.123622 5
4.4564E+09 2.217132 0.045771 -15.653560 -99.000000 -6.950080 0.000000 0.000023 0.001974 0.019359 0.000E+00 max_dt
rel_E_err 1.8001088279866582D-13
log_rel_run_E_err -10.1497239470627605
(age_target - star_age)/age_sigma 370 17.4042363150
reducing max timestep prior to age target 370 1.1312753604744053D+08
(age_target - star_age)/age_sigma 371 17.0663154959
reducing max timestep prior to age target 371 1.1093105072321129D+08
(age_target - star_age)/age_sigma 372 16.7351530931
reducing max timestep prior to age target 372 1.0877849510546684D+08
(age_target - star_age)/age_sigma 373 16.4106139385
reducing max timestep prior to age target 373 1.0666899060007668D+08
(age_target - star_age)/age_sigma 374 16.0925655669
reducing max timestep prior to age target 374 1.0460167618479538D+08
(age_target - star_age)/age_sigma 375 15.7808781627
reducing max timestep prior to age target 375 1.0257570805781841D+08
(age_target - star_age)/age_sigma 376 15.4754245067
reducing max timestep prior to age target 376 1.0059025929338169D+08
(age_target - star_age)/age_sigma 377 15.1760799237
reducing max timestep prior to age target 377 9.8644519504234314D+07
(age_target - star_age)/age_sigma 378 14.8827222324
reducing max timestep prior to age target 378 9.6737694510869026D+07
(age_target - star_age)/age_sigma 379 14.5952316950
reducing max timestep prior to age target 379 9.4869006017371178D+07
380 7.210849 5763.742 0.046525 0.046525 1.000000 1.000000 0.303832 0.005590 0.249797 -1.520371 517 1
6.2628E+00 7.210849 0.024526 -41.669053 -1.546774 -99.000000 0.000000 0.676809 0.007910 0.016395 0.123935 5
4.4765E+09 2.218901 0.046564 -99.000000 -99.000000 -6.950650 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt
rel_E_err 1.8819744033734752D-13
log_rel_run_E_err -10.1387119367294538
(age_target - star_age)/age_sigma 380 14.3134909683
reducing max timestep prior to age target 380 9.3037691293743134D+07
(age_target - star_age)/age_sigma 381 14.0373850561
reducing max timestep prior to age target 381 9.1243002864588737D+07
(age_target - star_age)/age_sigma 382 13.7668012622
reducing max timestep prior to age target 382 8.9484208204016685D+07
(age_target - star_age)/age_sigma 383 13.5016291441
reducing max timestep prior to age target 383 8.7760589436655998D+07
(age_target - star_age)/age_sigma 384 13.2417604684
reducing max timestep prior to age target 384 8.6071443044642448D+07
(age_target - star_age)/age_sigma 385 12.9870891662
reducing max timestep prior to age target 385 8.4416079580469131D+07
(age_target - star_age)/age_sigma 387 12.4879334140
reducing max timestep prior to age target 387 8.1171567190689087D+07
(age_target - star_age)/age_sigma 388 12.2433470953
reducing max timestep prior to age target 388 7.9581756119697571D+07
(age_target - star_age)/age_sigma 389 12.0036525031
reducing max timestep prior to age target 389 7.8023741270125389D+07
390 7.211219 5763.918 0.047178 0.047178 1.000000 1.000000 0.302162 0.005602 0.249676 -1.519498 517 1
6.1838E+00 7.211219 0.024826 -41.646221 -1.545495 -99.000000 0.000000 0.678479 0.007897 0.016387 0.124195 5
4.4930E+09 2.220363 0.047216 -99.000000 -99.000000 -6.951118 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt
rel_E_err 1.8461099843603416D-13
log_rel_run_E_err -10.1283671200054410
(age_target - star_age)/age_sigma 390 11.7687518027
reducing max timestep prior to age target 390 7.6496886717543602D+07
(age_target - star_age)/age_sigma 391 11.5385491163
reducing max timestep prior to age target 391 7.5000569256014824D+07
(age_target - star_age)/age_sigma 392 11.3129504836
reducing max timestep prior to age target 392 7.3534178143716812D+07
(age_target - star_age)/age_sigma 393 11.0918638236
reducing max timestep prior to age target 393 7.2097114853663445D+07
(age_target - star_age)/age_sigma 394 10.8751988968
reducing max timestep prior to age target 394 7.0688792829412460D+07
(age_target - star_age)/age_sigma 395 10.6628672686
reducing max timestep prior to age target 395 6.9308637245646477D+07
(age_target - star_age)/age_sigma 396 10.4547822729
reducing max timestep prior to age target 396 6.7956084773554802D+07
(age_target - star_age)/age_sigma 397 10.2508589771
reducing max timestep prior to age target 397 6.6630583350905418D+07
(age_target - star_age)/age_sigma 398 10.0510141472
reducing max timestep prior to age target 398 6.5331591956709862D+07
(age_target - star_age)/age_sigma 399 9.8551662139
reducing max timestep prior to age target 399 6.4058580390397072D+07
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
400 7.211525 5763.927 0.047716 0.047716 1.000000 1.000000 0.300779 0.005612 0.249576 -1.518773 516 1
6.0961E+00 7.211525 0.025093 -41.627308 -1.544436 -99.000000 0.000000 0.679862 0.007886 0.016381 0.124411 5
4.5067E+09 2.221576 0.047754 -99.000000 -99.000000 -6.951475 0.000000 0.000023 0.001975 0.019359 0.000E+00 max_dt
rel_E_err 1.9069892358026158D-13
log_rel_run_E_err -10.1182083928003177
(age_target - star_age)/age_sigma 400 9.6632352393
reducing max timestep prior to age target 400 6.2811029055411339D+07
save LOGS/profile9.data for model 400
save photos/x400 for model 400
(age_target - star_age)/age_sigma 401 9.4751428842
reducing max timestep prior to age target 401 6.1588428747124672D+07
(age_target - star_age)/age_sigma 402 9.2908123762
reducing max timestep prior to age target 402 6.0390280445003510D+07
(age_target - star_age)/age_sigma 403 9.1101684783
reducing max timestep prior to age target 403 5.9216095108925819D+07
(age_target - star_age)/age_sigma 404 8.9331374584
reducing max timestep prior to age target 404 5.8065393479568481D+07
(age_target - star_age)/age_sigma 405 8.7596470589
reducing max timestep prior to age target 405 5.6937705882799149D+07
(age_target - star_age)/age_sigma 406 8.5896264674
reducing max timestep prior to age target 406 5.5832572037964821D+07
(age_target - star_age)/age_sigma 407 8.4230062877
reducing max timestep prior to age target 407 5.4749540870027542D+07
(age_target - star_age)/age_sigma 408 8.2597185116
reducing max timestep prior to age target 408 5.3688170325448036D+07
(age_target - star_age)/age_sigma 409 8.0996964910
reducing max timestep prior to age target 409 5.2648027191761017D+07
410 7.211777 5764.044 0.048158 0.048158 1.000000 1.000000 0.299647 0.005621 0.249495 -1.518180 516 1
6.0083E+00 7.211777 0.025296 -41.611817 -1.543566 -99.000000 0.000000 0.680994 0.007877 0.016377 0.124589 3
4.5179E+09 2.222569 0.048196 -99.000000 -99.000000 -6.951791 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt
rel_E_err 1.8879867423703146D-13
log_rel_run_E_err -10.1078072151423246
(age_target - star_age)/age_sigma 410 7.9428749109
reducing max timestep prior to age target 410 5.1628686920747757D+07
(age_target - star_age)/age_sigma 411 7.7891897623
reducing max timestep prior to age target 411 5.0629733455154419D+07
(age_target - star_age)/age_sigma 412 7.6385783167
reducing max timestep prior to age target 412 4.9650759058873177D+07
(age_target - star_age)/age_sigma 413 7.4909791001
reducing max timestep prior to age target 413 4.8691364150517464D+07
(age_target - star_age)/age_sigma 414 7.3463318677
reducing max timestep prior to age target 414 4.7751157140329361D+07
(age_target - star_age)/age_sigma 415 7.2045775801
reducing max timestep prior to age target 415 4.6829754270344734D+07
(age_target - star_age)/age_sigma 416 7.0656583781
reducing max timestep prior to age target 416 4.5926779457759857D+07
(age_target - star_age)/age_sigma 417 6.9295175602
reducing max timestep prior to age target 417 4.5041864141427040D+07
(age_target - star_age)/age_sigma 418 6.7960995587
reducing max timestep prior to age target 418 4.4174647131420135D+07
(age_target - star_age)/age_sigma 419 6.6653499172
reducing max timestep prior to age target 419 4.3324774461613655D+07
420 7.211982 5764.138 0.048520 0.048520 1.000000 1.000000 0.298722 0.005628 0.249429 -1.517694 516 1
5.9206E+00 7.211982 0.025463 -41.599147 -1.542854 -99.000000 0.000000 0.681919 0.007870 0.016372 0.124735 3
4.5270E+09 2.223382 0.048557 -99.000000 -99.000000 -6.952049 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt
rel_E_err 1.9194574308596647D-13
log_rel_run_E_err -10.0974981244942370
(age_target - star_age)/age_sigma 421 6.4090806198
reducing max timestep prior to age target 421 4.1659024028792381D+07
(age_target - star_age)/age_sigma 422 6.2835086641
reducing max timestep prior to age target 422 4.0842806316710472D+07
(age_target - star_age)/age_sigma 423 6.1604481475
reducing max timestep prior to age target 423 4.0042912958869934D+07
(age_target - star_age)/age_sigma 424 6.0398488413
reducing max timestep prior to age target 424 3.9259017468186378D+07
(age_target - star_age)/age_sigma 425 5.9216615211
reducing max timestep prior to age target 425 3.8490799887315750D+07
(age_target - star_age)/age_sigma 426 5.8058379474
reducing max timestep prior to age target 426 3.7737946658062935D+07
(age_target - star_age)/age_sigma 427 5.6923308451
reducing max timestep prior to age target 427 3.7000150493395805D+07
(age_target - star_age)/age_sigma 428 5.5810938849
reducing max timestep prior to age target 428 3.6277110252020836D+07
(age_target - star_age)/age_sigma 429 5.4720816639
reducing max timestep prior to age target 429 3.5568530815474510D+07
430 7.212154 5764.217 0.048821 0.048821 1.000000 1.000000 0.297950 0.005633 0.249374 -1.517288 516 1
5.8416E+00 7.212154 0.025602 -41.588574 -1.542259 -99.000000 0.000000 0.682691 0.007864 0.016369 0.124857 3
4.5346E+09 2.224061 0.048858 -14.954590 -99.000000 -6.952265 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt
rel_E_err 1.7301955291355541D-13
log_rel_run_E_err -10.0876116258969493
(age_target - star_age)/age_sigma 430 5.3652496873
reducing max timestep prior to age target 430 3.4874122967658043D+07
(age_target - star_age)/age_sigma 431 5.2605543503
reducing max timestep prior to age target 431 3.4193603276799202D+07
(age_target - star_age)/age_sigma 432 5.1579529200
reducing max timestep prior to age target 432 3.3526693979756355D+07
(age_target - star_age)/age_sigma 433 5.0574035183
reducing max timestep prior to age target 433 3.2873122868654251D+07
(age_target - star_age)/age_sigma 434 4.9582387434
remaining steps and years until age target 434 50 3.2228551832015038D+07
(age_target - star_age)/age_sigma 435 4.8590739685
remaining steps and years until age target 435 49 3.1583980795374870D+07
(age_target - star_age)/age_sigma 436 4.7599091937
reducing max timestep prior to age target 436 3.0939409758733749D+07
(age_target - star_age)/age_sigma 437 4.6607444188
remaining steps and years until age target 437 47 3.0294838722093582D+07
(age_target - star_age)/age_sigma 438 4.5615796439
remaining steps and years until age target 438 46 2.9650267685454369D+07
(age_target - star_age)/age_sigma 439 4.4624148690
reducing max timestep prior to age target 439 2.9005696648813248D+07
440 7.212301 5764.284 0.049079 0.049079 1.000000 1.000000 0.297289 0.005638 0.249326 -1.516941 516 1
5.8093E+00 7.212301 0.025720 -41.579526 -1.541749 -99.000000 0.000000 0.683352 0.007858 0.016366 0.124961 3
4.5411E+09 2.224642 0.049116 -99.000000 -99.000000 -6.952449 0.000000 0.000024 0.001975 0.019359 0.000E+00 max_dt
rel_E_err 1.8163459714389550D-13
log_rel_run_E_err -10.0780793816809382
(age_target - star_age)/age_sigma 440 4.3632500942
remaining steps and years until age target 440 44 2.8361125612173080D+07
(age_target - star_age)/age_sigma 441 4.2640853193
remaining steps and years until age target 441 43 2.7716554575532913D+07
(age_target - star_age)/age_sigma 442 4.1649205444
remaining steps and years until age target 442 42 2.7071983538892746D+07
(age_target - star_age)/age_sigma 443 4.0657557696
remaining steps and years until age target 443 41 2.6427412502252579D+07
(age_target - star_age)/age_sigma 444 3.9665909947
remaining steps and years until age target 444 40 2.5782841465612411D+07
(age_target - star_age)/age_sigma 445 3.8674262198
reducing max timestep prior to age target 445 2.5138270428971291D+07
(age_target - star_age)/age_sigma 446 3.7682614450
remaining steps and years until age target 446 38 2.4493699392331123D+07
(age_target - star_age)/age_sigma 447 3.6690966701
remaining steps and years until age target 447 37 2.3849128355691910D+07
(age_target - star_age)/age_sigma 448 3.5699318952
reducing max timestep prior to age target 448 2.3204557319050789D+07
(age_target - star_age)/age_sigma 449 3.4707671204
remaining steps and years until age target 449 35 2.2559986282410622D+07
450 7.212447 5764.350 0.049334 0.049334 1.000000 1.000000 0.296635 0.005643 0.249280 -1.516597 516 1
5.8093E+00 7.212447 0.025838 -41.570563 -1.541244 -99.000000 0.000000 0.684006 0.007853 0.016363 0.125065 3
4.5476E+09 2.225217 0.049371 -15.653560 -99.000000 -6.952631 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt
rel_E_err 1.8226092259410740D-13
log_rel_run_E_err -10.0686922763131435
(age_target - star_age)/age_sigma 450 3.3716023455
remaining steps and years until age target 450 34 2.1915415245770454D+07
save LOGS/profile10.data for model 450
save photos/x450 for model 450
(age_target - star_age)/age_sigma 451 3.2724375706
reducing max timestep prior to age target 451 2.1270844209129333D+07
(age_target - star_age)/age_sigma 452 3.1732727958
remaining steps and years until age target 452 32 2.0626273172490120D+07
(age_target - star_age)/age_sigma 453 3.0741080209
reducing max timestep prior to age target 453 1.9981702135848999D+07
(age_target - star_age)/age_sigma 454 2.9749432460
remaining steps and years until age target 454 30 1.9337131099208832D+07
(age_target - star_age)/age_sigma 455 2.8757784712
remaining steps and years until age target 455 29 1.8692560062568665D+07
(age_target - star_age)/age_sigma 456 2.7766136963
remaining steps and years until age target 456 28 1.8047989025928497D+07
(age_target - star_age)/age_sigma 457 2.6774489214
remaining steps and years until age target 457 27 1.7403417989288330D+07
(age_target - star_age)/age_sigma 458 2.5782841466
remaining steps and years until age target 458 26 1.6758846952648163D+07
(age_target - star_age)/age_sigma 459 2.4791193717
reducing max timestep prior to age target 459 1.6114275916007042D+07
460 7.212592 5764.416 0.049589 0.049589 1.000000 1.000000 0.295981 0.005649 0.249233 -1.516253 516 1
5.8093E+00 7.212592 0.025956 -41.561592 -1.540738 -99.000000 0.000000 0.684661 0.007848 0.016361 0.125169 3
4.5540E+09 2.225793 0.049626 -15.653560 -99.000000 -6.952813 0.000000 0.000024 0.001975 0.019358 0.000E+00 max_dt
rel_E_err 1.7279690670335608D-13
log_rel_run_E_err -10.0594999853170695
(age_target - star_age)/age_sigma 460 2.3799545968
remaining steps and years until age target 460 24 1.5469704879366875D+07
(age_target - star_age)/age_sigma 461 2.2807898220
remaining steps and years until age target 461 23 1.4825133842727661D+07
(age_target - star_age)/age_sigma 462 2.1816250471
reducing max timestep prior to age target 462 1.4180562806086540D+07
(age_target - star_age)/age_sigma 463 2.0824602722
remaining steps and years until age target 463 21 1.3535991769446373D+07
(age_target - star_age)/age_sigma 464 1.9832954974
remaining steps and years until age target 464 20 1.2891420732806206D+07
(age_target - star_age)/age_sigma 465 1.8841307225
reducing max timestep prior to age target 465 1.2246849696165085D+07
(age_target - star_age)/age_sigma 466 1.7849659476
remaining steps and years until age target 466 18 1.1602278659525871D+07
(age_target - star_age)/age_sigma 467 1.6858011728
reducing max timestep prior to age target 467 1.0957707622884750D+07
(age_target - star_age)/age_sigma 468 1.5866363979
remaining steps and years until age target 468 16 1.0313136586244583D+07
(age_target - star_age)/age_sigma 469 1.4874716230
remaining steps and years until age target 469 15 9.6685655496044159D+06
470 7.212738 5764.481 0.049845 0.049845 1.000000 1.000000 0.295326 0.005654 0.249187 -1.515908 516 1
5.8093E+00 7.212738 0.026073 -41.552613 -1.540232 -99.000000 0.000000 0.685316 0.007842 0.016358 0.125273 3
4.5605E+09 2.226370 0.049881 -99.000000 -99.000000 -6.952996 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt
rel_E_err 1.7321323894858071D-13
log_rel_run_E_err -10.0507242801072998
(age_target - star_age)/age_sigma 470 1.3883068481
remaining steps and years until age target 470 14 9.0239945129652023D+06
(age_target - star_age)/age_sigma 471 1.2891420733
reducing max timestep prior to age target 471 8.3794234763240814D+06
(age_target - star_age)/age_sigma 472 1.1899772984
remaining steps and years until age target 472 12 7.7348524396839142D+06
(age_target - star_age)/age_sigma 473 1.0908125235
reducing max timestep prior to age target 473 7.0902814030427933D+06
(age_target - star_age)/age_sigma 474 0.9916477487
remaining steps and years until age target 474 10 6.4457103664026260D+06
(age_target - star_age)/age_sigma 475 0.8924829738
remaining steps and years until age target 475 9 5.8011393297634125D+06
(age_target - star_age)/age_sigma 476 0.7933181989
reducing max timestep prior to age target 476 5.1565682931222916D+06
(age_target - star_age)/age_sigma 477 0.6941534241
remaining steps and years until age target 477 7 4.5119972564821243D+06
(age_target - star_age)/age_sigma 478 0.5949886492
remaining steps and years until age target 478 6 3.8674262198419571D+06
(age_target - star_age)/age_sigma 479 0.4958238743
reducing max timestep prior to age target 479 3.2228551832008362D+06
480 7.212884 5764.546 0.050100 0.050100 1.000000 1.000000 0.294671 0.005659 0.249140 -1.515564 516 1
5.8093E+00 7.212884 0.026191 -41.543627 -1.539725 -99.000000 0.000000 0.685971 0.007837 0.016355 0.125378 3
4.5669E+09 2.226947 0.050136 -99.000000 -99.000000 -6.953178 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt
rel_E_err 1.7804388055401388D-13
log_rel_run_E_err -10.0418814087031176
(age_target - star_age)/age_sigma 480 0.3966590995
remaining steps and years until age target 480 4 2.5782841465616226D+06
model saved to final.mod
save photos/x480 for model 480
(age_target - star_age)/age_sigma 481 0.2974943246
reducing max timestep prior to age target 481 1.9337131099205017D+06
(age_target - star_age)/age_sigma 482 0.1983295497
remaining steps and years until age target 482 2 1.2891420732803345D+06
(age_target - star_age)/age_sigma 483 0.0991647749
chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71
save outputs/best.mod 484
save outputs/best.profile for model 484
save LOGS/profile11.data for model 484
have reached age_target
save LOGS/profile11.data for model 484
solver retries 3
varcontrol dt limit 81
max increase dt limit 1074
lgRho_cntr dt limit 37
model saved to final.mod
save photos/x484 for model 484
chi^2 combined, chi^2 seismo, chi^2 spectro 484 334680.71 0.00 334680.71
have reached age_target
runtime (minutes), retries, steps 2.65 1 484
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
484 7.212943 5764.572 0.050203 0.050203 1.000000 1.000000 0.294409 0.005661 0.249121 -1.515426 516 1
5.8093E+00 7.212943 0.026238 -41.540030 -1.539521 -99.000000 0.000000 0.686233 0.007835 0.016354 0.125420 3
4.5695E+09 2.227178 0.050239 -99.000000 -99.000000 -6.953251 0.000000 0.000024 0.001976 0.019358 0.000E+00 max_dt
rel_E_err 1.8266668109610078D-13
log_rel_run_E_err -10.0384458311128189
Teff 5764.5719399272
radius 1.0622782376
radius_obs 1.0000000000
radius_sigma 0.0010000000
radius chi2term 3878.5788762490
M_H -0.0127881998
M_H_obs 0.0000000000
M_H_sigma 0.0010000000
M_H chi2term 163.5380535206
log_R 0.0262382844
delta_nu 129.3843509383
nu_max 2729.4282123453
a_div_r 0.0000000000E+00
correction_r 0.0000000000E+00
initial_mass 1.0000000000
initial_Y 0.2835000000
initial_FeH 0.0600000000
alpha 2.0000000000
f_ov 0.0000000000
age 4.5695000000E+09
chi^2 spectro 334680.7056432565
model number 484
save best model results to outputs/sample_0002.data
current set of sample results
1 2 3 4 5 6 7 8
samples version_number compiler build MESA_SDK_version math_backend date search_type
2 "2b91b1c" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20250328" "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 3.3351283960191312E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383768001E+03 1.0231407131234531E+00 -1.7395981942482778E-03 9.9353665865919549E-03 1.3680762272705550E+02 2.9640776267827341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191312E+05 0 0 0 0 0 0 0 2 3.3468070564325654E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272448E+03 1.0622782375814297E+00 -1.2788199776380623E-02 2.6238284372332898E-02 1.2938435093833220E+02 2.7294282123453299E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325654E+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
retry: max residual jumped -- give up in solver 5
10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1
-5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1
-5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1
-5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
finished doing relax num steps
relax_to_radiative_core
10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0
-2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 10 3.9562810869851778D-01
20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0
7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3
1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 20 1.8246319607504208D-01
30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0
3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3
7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 30 7.8128501791382976D-08
40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0
4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3
7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 40 7.8128501791382976D-08
50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0
4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3
3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 50 7.8128501569338371D-08
60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0
5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3
1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 60 7.8128500903204556D-08
finished relax to begin radiative core 66 2.4692958051424622D-02
finished doing relax_to_radiative_core
set_initial_number_retries 0
set_uniform_initial_composition
initial_h1 7.1010577170663625D-01
initial_h2 0.0000000000000000D+00
initial_he3 2.7000000000000002D-05
initial_he4 2.6997300000000002D-01
metals GS98
relax_initial_mass to new_mass 1.0000000000000000D+00
net name basic.net
do_element_diffusion T
tau_base 4.1164335019999998D-01
atm_option: T_tau
set_cumulative_energy_error 0.0000000000000000D+00
kap_option gs98
kap_CO_option gs98_co
kap_lowT_option lowT_fa05_gs98
OMP_NUM_THREADS 4
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
(age_target - star_age)/age_sigma 1 703.0000000000
begin reducing max timestep prior to age target 1 4.5694999999999905D+09
save LOGS/profile1.data for model 1
(age_target - star_age)/age_sigma 2 703.0000000000
reducing max timestep prior to age target 2 4.5694999999999781D+09
(age_target - star_age)/age_sigma 3 703.0000000000
reducing max timestep prior to age target 3 4.5694999999999638D+09
(age_target - star_age)/age_sigma 4 703.0000000000
reducing max timestep prior to age target 4 4.5694999999999466D+09
(age_target - star_age)/age_sigma 5 703.0000000000
reducing max timestep prior to age target 5 4.5694999999999256D+09
(age_target - star_age)/age_sigma 6 703.0000000000
reducing max timestep prior to age target 6 4.5694999999999008D+09
10 6.622719 4306.186 -4.896792 -4.896792 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028733 457 0
-4.2874E+00 6.622719 0.262153 -99.000000 -6.294540 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 5
2.5959E-04 0.157517 0.015371 -99.000000 -99.000000 -6.906603 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.5920127918434314D-13
log_rel_run_E_err -11.5818964292418585
20 6.622720 4315.875 -4.896793 -4.896793 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028733 457 0
-3.4956E+00 6.622720 0.262165 -99.000000 -6.294541 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 3
1.8669E-03 0.157519 0.019299 -20.169010 -99.000000 -6.911070 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.6701639306825004D-13
log_rel_run_E_err -11.2769956359859815
30 6.622723 4316.396 -4.896792 -4.896792 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0
-2.7037E+00 6.622723 0.262177 -99.000000 -6.294540 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2
1.1819E-02 0.157524 0.019534 -20.771070 -99.000000 -6.911323 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.6999357894379868D-13
log_rel_run_E_err -11.0973912568919424
40 6.622726 4315.712 -4.896790 -4.896790 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0
-1.9119E+00 6.622726 0.262184 -99.000000 -6.294538 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 4
7.3439E-02 0.157527 0.019271 -99.000000 -99.000000 -6.911018 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.6255061095130875D-13
log_rel_run_E_err -10.9710163880538705
50 6.622726 4313.963 -4.896789 -4.896789 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0
-1.1201E+00 6.622726 0.262173 -99.000000 -6.294537 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 6
4.5497E-01 0.157527 0.018545 -20.072100 -99.000000 -6.910205 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.6980748750453692D-13
log_rel_run_E_err -10.8736273979766480
save LOGS/profile2.data for model 50
save photos/x050 for model 50
60 6.622726 4313.925 -4.896788 -4.896788 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028732 457 0
-3.2831E-01 6.622726 0.262172 -99.000000 -6.294536 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2
2.8173E+00 0.157528 0.018529 -99.000000 -99.000000 -6.910187 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.7017954349108010D-13
log_rel_run_E_err -10.7938557059853331
70 6.622727 4313.925 -4.896779 -4.896779 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028728 457 0
4.6351E-01 6.622727 0.262172 -99.000000 -6.294527 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2
1.7444E+01 0.157531 0.018527 -99.000000 -99.000000 -6.910186 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.8115731883136491D-13
log_rel_run_E_err -10.7263378293423397
80 6.622732 4313.919 -4.896727 -4.896727 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028704 457 0
1.2553E+00 6.622732 0.262166 -99.000000 -6.294475 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072042 2
1.0801E+02 0.157548 0.018514 -99.000000 -99.000000 -6.910177 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.5789473321046211D-13
log_rel_run_E_err -10.6693246779623632
90 6.622762 4313.884 -4.896401 -4.896401 1.000000 1.000000 0.710106 0.001005 0.270000 -4.028559 457 0
2.0471E+00 6.622762 0.262132 -99.000000 -6.294149 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072043 2
6.6878E+02 0.157655 0.018431 -99.000000 -99.000000 -6.910119 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.7015353699503455D-13
log_rel_run_E_err -10.6183713417650303
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
100 6.622946 4313.669 -4.894384 -4.894384 1.000000 1.000000 0.710106 0.001005 0.270000 -4.027662 457 0
2.8389E+00 6.622946 0.261920 -99.000000 -6.292132 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072049 2
4.1409E+03 0.158320 0.017921 -99.000000 -99.000000 -6.909765 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.5960420892838899D-13
log_rel_run_E_err -10.5721267589077321
save LOGS/profile3.data for model 100
save photos/x100 for model 100
110 6.624079 4312.342 -4.881988 -4.881988 1.000000 1.000000 0.710106 0.001005 0.270000 -4.022123 457 0
3.6308E+00 6.624079 0.260618 -99.000000 -6.279735 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072088 2
2.5639E+04 0.162410 0.014782 -99.000000 -99.000000 -6.907581 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.7511904393322151D-13
log_rel_run_E_err -10.5317661755535976
120 6.630764 4304.303 -4.808418 -4.808418 1.000000 1.000000 0.710106 0.001005 0.270000 -3.988484 457 0
4.4226E+00 6.630764 0.252867 -99.000000 -6.206160 -99.000000 0.000000 0.270000 0.009331 0.019894 0.072337 3
1.5875E+05 0.186959 -0.003960 -20.470040 -99.000000 -6.894484 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 4.1480941014406364D-13
log_rel_run_E_err -10.4990495609266006
130 6.662762 4262.366 -4.443936 -4.443936 1.000000 1.000000 0.710105 0.001005 0.270000 -3.799859 459 0
5.2144E+00 6.662762 0.213985 -99.000000 -5.841643 -99.000000 0.000000 0.270000 0.009331 0.019894 0.074213 3
9.8295E+05 0.316315 -0.098734 -99.000000 -99.000000 -6.827131 0.000000 0.003429 0.002074 0.019894 0.000E+00 max increase
rel_E_err 2.3613129626473848D-11
log_rel_run_E_err -10.2198403881084605
140 6.749709 4192.007 -3.434874 -3.434874 1.000000 1.000000 0.710102 0.001005 0.269999 -3.104305 467 0
5.8577E+00 6.749709 0.110503 -99.000000 -4.832384 -99.000000 0.000000 0.270003 0.009331 0.019894 0.084450 4
5.4941E+06 0.745520 -0.334612 -99.000000 -99.000000 -6.663785 0.000000 0.003429 0.002074 0.019894 0.000E+00 varcontrol
rel_E_err 2.5324718174438329D-13
log_rel_run_E_err -10.3181256534103447
150 6.868601 4496.668 -2.253688 -2.253688 1.000000 1.000000 0.710088 0.001005 0.269993 -2.223868 473 0
6.0088E+00 6.868601 0.036433 -99.000000 -3.650488 -99.000000 0.000000 0.270017 0.009331 0.019894 0.098089 4
1.5141E+07 1.297238 -0.360877 -99.000000 -99.000000 -6.714681 0.000000 0.003429 0.002074 0.019895 0.000E+00 lgRho_cntr
rel_E_err 2.0046468092980036D-13
log_rel_run_E_err -10.4329674315933527
save LOGS/profile4.data for model 150
save photos/x150 for model 150
160 7.046838 5353.783 -0.818032 -0.818032 1.000000 1.000000 0.709913 0.001022 0.269970 -1.549552 489 0
6.1334E+00 7.046838 0.011673 -51.759826 -2.259873 -99.000000 0.000000 0.270189 0.009332 0.019892 0.098989 5
2.7457E+07 1.843683 -0.107318 -99.000000 -99.000000 -6.847198 0.000000 0.003414 0.002074 0.019898 0.000E+00 lgRho_cntr
rel_E_err 1.5931231130581156D-13
log_rel_run_E_err -10.5719958337671809
(age_target - star_age)/age_sigma 168 694.7514474947
reducing max timestep prior to age target 168 4.5158844087156963D+09
170 7.128249 5516.078 -0.179266 -0.179266 1.000000 1.000000 0.707745 0.003384 0.269734 -1.726831 507 0
6.9128E+00 7.128249 -0.049816 -47.364544 -1.779651 -99.000000 0.000000 0.272015 0.009334 0.019877 0.085495 5
6.8613E+07 1.894313 -0.178416 -15.954590 -99.000000 -6.804894 0.000000 0.001391 0.002075 0.020240 0.000E+00 max increase
rel_E_err 1.9354055707616935D-13
log_rel_run_E_err -10.5962468966936267
(age_target - star_age)/age_sigma 176 677.4473861459
reducing max timestep prior to age target 176 4.4034080099480476D+09
(age_target - star_age)/age_sigma 179 661.0324369281
reducing max timestep prior to age target 179 4.2967108400325432D+09
180 7.128729 5536.217 -0.162195 -0.162195 1.000000 1.000000 0.691334 0.005002 0.268174 -1.677290 500 0
7.7046E+00 7.128729 -0.044841 -47.219844 -1.818361 -99.000000 0.000000 0.288160 0.009348 0.019777 0.087930 10
3.2344E+08 1.919490 -0.162136 -99.000000 -99.000000 -6.814263 0.000000 0.000015 0.002078 0.020506 0.000E+00 max increase
rel_E_err 1.6034402929650419D-13
log_rel_run_E_err -10.5678370482621755
(age_target - star_age)/age_sigma 180 653.2398456511
reducing max timestep prior to age target 180 4.2460589967319956D+09
(age_target - star_age)/age_sigma 182 632.6674046798
reducing max timestep prior to age target 182 4.1123381304185505D+09
(age_target - star_age)/age_sigma 183 620.3484608221
reducing max timestep prior to age target 183 4.0322649953435707D+09
(age_target - star_age)/age_sigma 184 608.2758958416
reducing max timestep prior to age target 184 3.9537933229700909D+09
(age_target - star_age)/age_sigma 185 596.4447821606
reducing max timestep prior to age target 185 3.8768910840440807D+09
(age_target - star_age)/age_sigma 186 584.8502907533
reducing max timestep prior to age target 186 3.8015268898965902D+09
(age_target - star_age)/age_sigma 187 573.4876891742
reducing max timestep prior to age target 187 3.7276699796320500D+09
(age_target - star_age)/age_sigma 188 562.3523396266
reducing max timestep prior to age target 188 3.6552902075728006D+09
(age_target - star_age)/age_sigma 189 551.4396970700
reducing max timestep prior to age target 189 3.5843580309547358D+09
190 7.136787 5555.723 -0.140923 -0.140923 1.000000 1.000000 0.638442 0.005043 0.263728 -1.656252 506 0
7.8421E+00 7.136787 -0.037253 -46.560257 -1.804413 -99.000000 0.000000 0.340945 0.009383 0.019489 0.091456 10
1.0547E+09 1.953893 -0.140849 -99.000000 -99.000000 -6.827012 0.000000 0.000015 0.002089 0.020614 0.000E+00 max_dt
rel_E_err 1.9342857830816144D-13
log_rel_run_E_err -10.5404674841379649
(age_target - star_age)/age_sigma 190 540.7453073645
reducing max timestep prior to age target 190 3.5148444978690329D+09
(age_target - star_age)/age_sigma 191 530.2648054531
reducing max timestep prior to age target 191 3.4467212354450436D+09
(age_target - star_age)/age_sigma 192 519.9939135799
reducing max timestep prior to age target 192 3.3799604382695341D+09
(age_target - star_age)/age_sigma 193 509.9284395442
reducing max timestep prior to age target 193 3.3145348570375347D+09
(age_target - star_age)/age_sigma 194 500.0642749893
reducing max timestep prior to age target 194 3.2504177874301758D+09
(age_target - star_age)/age_sigma 195 490.3973937254
reducing max timestep prior to age target 195 3.1875830592149639D+09
(age_target - star_age)/age_sigma 196 480.9238500868
reducing max timestep prior to age target 196 3.1260050255640559D+09
(age_target - star_age)/age_sigma 197 471.6397773209
reducing max timestep prior to age target 197 3.0656585525861664D+09
(age_target - star_age)/age_sigma 198 462.5413860104
reducing max timestep prior to age target 198 3.0065190090678344D+09
(age_target - star_age)/age_sigma 199 453.6249625261
reducing max timestep prior to age target 199 2.9485622564198694D+09
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
200 7.144277 5571.259 -0.123239 -0.123239 1.000000 1.000000 0.592579 0.005083 0.259993 -1.638143 507 0
7.7543E+00 7.144277 -0.030836 -45.985028 -1.784881 -99.000000 0.000000 0.386719 0.009404 0.019244 0.094788 10
1.6777E+09 1.984784 -0.123165 -99.000000 -99.000000 -6.838175 0.000000 0.000016 0.002098 0.020703 0.000E+00 max_dt
rel_E_err 1.8476146850984532D-13
log_rel_run_E_err -10.5134716043742582
(age_target - star_age)/age_sigma 200 444.8868675115
reducing max timestep prior to age target 200 2.8917646388248634D+09
save LOGS/profile5.data for model 200
save photos/x200 for model 200
(age_target - star_age)/age_sigma 201 436.3235343972
reducing max timestep prior to age target 201 2.8361029735817575D+09
(age_target - star_age)/age_sigma 202 427.9314679452
reducing max timestep prior to age target 202 2.7815545416435137D+09
(age_target - star_age)/age_sigma 204 411.4830176992
reducing max timestep prior to age target 204 2.6746396150445561D+09
(age_target - star_age)/age_sigma 205 403.4232770786
reducing max timestep prior to age target 205 2.6222513010110669D+09
(age_target - star_age)/age_sigma 206 395.5247312705
reducing max timestep prior to age target 206 2.5709107532582474D+09
(age_target - star_age)/age_sigma 207 387.7841563785
reducing max timestep prior to age target 207 2.5205970164604845D+09
(age_target - star_age)/age_sigma 208 380.1983929844
reducing max timestep prior to age target 208 2.4712895543986769D+09
(age_target - star_age)/age_sigma 209 372.7643448582
reducing max timestep prior to age target 209 2.4229682415781050D+09
210 7.150876 5583.880 -0.108223 -0.108223 1.000000 1.000000 0.554041 0.005123 0.256923 -1.622012 508 0
7.6754E+00 7.150876 -0.025293 -45.497280 -1.766588 -99.000000 0.000000 0.425185 0.009413 0.019042 0.097852 10
2.1939E+09 2.011836 -0.108149 -99.000000 -99.000000 -6.847817 0.000000 0.000016 0.002105 0.020774 0.000E+00 max_dt
rel_E_err 1.8772947563321925D-13
log_rel_run_E_err -10.4884910873374810
(age_target - star_age)/age_sigma 210 365.4789776945
reducing max timestep prior to age target 210 2.3756133550139446D+09
(age_target - star_age)/age_sigma 211 358.3393178740
reducing max timestep prior to age target 211 2.3292055661810679D+09
(age_target - star_age)/age_sigma 212 351.3424512500
reducing max timestep prior to age target 212 2.2837259331248484D+09
(age_target - star_age)/age_sigma 213 344.4855219584
reducing max timestep prior to age target 213 2.2391558927297535D+09
(age_target - star_age)/age_sigma 214 337.7657312527
reducing max timestep prior to age target 214 2.1954772531425605D+09
(age_target - star_age)/age_sigma 215 331.1803363611
reducing max timestep prior to age target 215 2.1526721863471112D+09
(age_target - star_age)/age_sigma 216 324.7266493673
reducing max timestep prior to age target 216 2.1107232208875713D+09
(age_target - star_age)/age_sigma 217 318.4020361134
reducing max timestep prior to age target 217 2.0696132347372217D+09
(age_target - star_age)/age_sigma 218 312.2039151246
reducing max timestep prior to age target 218 2.0293254483098793D+09
(age_target - star_age)/age_sigma 219 306.1297565556
reducing max timestep prior to age target 219 1.9898434176110830D+09
220 7.156591 5593.960 -0.095553 -0.095553 1.000000 1.000000 0.521946 0.005162 0.254408 -1.607876 508 0
7.5876E+00 7.156591 -0.020526 -45.086822 -1.750267 -99.000000 0.000000 0.457223 0.009412 0.018877 0.100615 10
2.6183E+09 2.035175 -0.095480 -15.255620 -99.000000 -6.856100 0.000000 0.000017 0.002111 0.020831 0.000E+00 max_dt
rel_E_err 1.9466383799301362D-13
log_rel_run_E_err -10.4650840398064719
(age_target - star_age)/age_sigma 220 300.1770811579
reducing max timestep prior to age target 220 1.9511510275262637D+09
(age_target - star_age)/age_sigma 221 294.3434592682
reducing max timestep prior to age target 221 1.9132324852431402D+09
(age_target - star_age)/age_sigma 222 288.6265098163
reducing max timestep prior to age target 222 1.8760723138056793D+09
(age_target - star_age)/age_sigma 223 283.0238993534
reducing max timestep prior to age target 223 1.8396553457969680D+09
(age_target - star_age)/age_sigma 224 277.5333410998
reducing max timestep prior to age target 224 1.8039667171484303D+09
(age_target - star_age)/age_sigma 225 272.1525940112
reducing max timestep prior to age target 225 1.7689918610728641D+09
(age_target - star_age)/age_sigma 226 266.8794618644
reducing max timestep prior to age target 226 1.7347165021188087D+09
(age_target - star_age)/age_sigma 227 261.7117923606
reducing max timestep prior to age target 227 1.7011266503438344D+09
(age_target - star_age)/age_sigma 228 256.6474762468
reducing max timestep prior to age target 228 1.6682085956043596D+09
(age_target - star_age)/age_sigma 229 251.6844464553
reducing max timestep prior to age target 229 1.6359489019596744D+09
230 7.161476 5602.009 -0.084964 -0.084964 1.000000 1.000000 0.495424 0.005199 0.252368 -1.595687 508 0
7.4999E+00 7.161476 -0.016481 -44.743847 -1.736040 -99.000000 0.000000 0.483701 0.009404 0.018743 0.103061 10
2.9652E+09 2.055059 -0.084893 -99.000000 -99.000000 -6.863061 0.000000 0.000017 0.002116 0.020875 0.000E+00 max_dt
rel_E_err 1.8846443852563608D-13
log_rel_run_E_err -10.4425419935325898
(age_target - star_age)/age_sigma 230 246.8206772597
reducing max timestep prior to age target 230 1.6043344021878829D+09
(age_target - star_age)/age_sigma 231 242.0541834479
reducing max timestep prior to age target 231 1.5733521924115272D+09
(age_target - star_age)/age_sigma 232 237.3830195124
reducing max timestep prior to age target 232 1.5429896268306990D+09
(age_target - star_age)/age_sigma 233 232.8052788556
reducing max timestep prior to age target 233 1.5132343125614872D+09
(age_target - star_age)/age_sigma 234 228.3190930119
reducing max timestep prior to age target 234 1.4840741045776591D+09
(age_target - star_age)/age_sigma 235 223.9226308852
reducing max timestep prior to age target 235 1.4554971007535076D+09
(age_target - star_age)/age_sigma 236 219.6140980009
reducing max timestep prior to age target 236 1.4274916370058398D+09
(age_target - star_age)/age_sigma 238 211.1693735478
reducing max timestep prior to age target 238 1.3726009280604100D+09
(age_target - star_age)/age_sigma 239 207.0314585657
reducing max timestep prior to age target 239 1.3457044806771498D+09
240 7.165640 5608.445 -0.076096 -0.076096 1.000000 1.000000 0.473410 0.005235 0.250684 -1.585234 507 0
7.4209E+00 7.165640 -0.013045 -44.456185 -1.723708 -99.000000 0.000000 0.505681 0.009391 0.018632 0.105213 10
3.2502E+09 2.071962 -0.076027 -99.000000 -99.000000 -6.868955 0.000000 0.000018 0.002120 0.020909 0.000E+00 max_dt
rel_E_err 1.8644966626841438D-13
log_rel_run_E_err -10.4215884085353139
(age_target - star_age)/age_sigma 240 202.9763018833
reducing max timestep prior to age target 240 1.3193459622415543D+09
(age_target - star_age)/age_sigma 241 199.0022483346
reducing max timestep prior to age target 241 1.2935146141746707D+09
(age_target - star_age)/age_sigma 242 195.1076758568
reducing max timestep prior to age target 242 1.2681998930691252D+09
(age_target - star_age)/age_sigma 243 191.2909948286
reducing max timestep prior to age target 243 1.2433914663856902D+09
(age_target - star_age)/age_sigma 244 187.5506474209
reducing max timestep prior to age target 244 1.2190792082359242D+09
(age_target - star_age)/age_sigma 245 183.8851069614
reducing max timestep prior to age target 245 1.1952531952491536D+09
(age_target - star_age)/age_sigma 246 180.2928773111
reducing max timestep prior to age target 246 1.1719037025221181D+09
(age_target - star_age)/age_sigma 247 176.7724922538
reducing max timestep prior to age target 247 1.1490211996496234D+09
(age_target - star_age)/age_sigma 248 173.3225148976
reducing max timestep prior to age target 248 1.1265963468345785D+09
(age_target - star_age)/age_sigma 249 169.9415370886
reducing max timestep prior to age target 249 1.1046199910758343D+09
250 7.169199 5613.665 -0.068624 -0.068624 1.000000 1.000000 0.454997 0.005269 0.249310 -1.576252 510 0
7.3332E+00 7.169199 -0.010118 -44.213481 -1.713011 -99.000000 0.000000 0.524066 0.009375 0.018541 0.107105 10
3.4864E+09 2.086378 -0.068556 -99.000000 -99.000000 -6.873930 0.000000 0.000018 0.002123 0.020937 0.000E+00 max_dt
rel_E_err 1.8384367613714565D-13
log_rel_run_E_err -10.4015456369748662
(age_target - star_age)/age_sigma 250 166.6281788357
reducing max timestep prior to age target 250 1.0830831624322658D+09
save LOGS/profile6.data for model 250
save photos/x250 for model 250
(age_target - star_age)/age_sigma 251 163.3810877479
reducing max timestep prior to age target 251 1.0619770703615680D+09
(age_target - star_age)/age_sigma 252 160.1989384819
reducing max timestep prior to age target 252 1.0412931001322842D+09
(age_target - star_age)/age_sigma 253 157.0804322012
reducing max timestep prior to age target 253 1.0210228093075862D+09
(age_target - star_age)/age_sigma 254 154.0242960461
reducing max timestep prior to age target 254 1.0011579242993827D+09
(age_target - star_age)/age_sigma 255 151.0292826141
reducing max timestep prior to age target 255 9.8169033699134254D+08
(age_target - star_age)/age_sigma 256 148.0941694507
reducing max timestep prior to age target 256 9.6261210142946339D+08
(age_target - star_age)/age_sigma 257 145.2177585506
reducing max timestep prior to age target 257 9.4391543057882166D+08
(age_target - star_age)/age_sigma 258 142.3988758685
reducing max timestep prior to age target 258 9.2559269314519262D+08
(age_target - star_age)/age_sigma 259 139.6363708400
reducing max timestep prior to age target 259 9.0763641046023655D+08
260 7.172184 5617.836 -0.062435 -0.062435 1.000000 1.000000 0.439836 0.005300 0.248155 -1.568688 511 0
7.2454E+00 7.172184 -0.007670 -44.012117 -1.703932 -99.000000 0.000000 0.539205 0.009358 0.018465 0.108730 10
3.6795E+09 2.098448 -0.062370 -99.000000 -99.000000 -6.878088 0.000000 0.000019 0.002126 0.020959 0.000E+00 max_dt
rel_E_err 1.9140671450296291D-13
log_rel_run_E_err -10.3824732510127209
(age_target - star_age)/age_sigma 260 136.9291159122
reducing max timestep prior to age target 260 8.9003925342897987D+08
(age_target - star_age)/age_sigma 261 134.2760060828
reducing max timestep prior to age target 261 8.7279403953834772D+08
(age_target - star_age)/age_sigma 262 131.6759584501
reducing max timestep prior to age target 262 8.5589372992552853D+08
(age_target - star_age)/age_sigma 263 129.1279117700
reducing max timestep prior to age target 263 8.3933142650496578D+08
(age_target - star_age)/age_sigma 264 126.6308260235
reducing max timestep prior to age target 264 8.2310036915281439D+08
(age_target - star_age)/age_sigma 265 124.1836819920
reducing max timestep prior to age target 265 8.0719393294770575D+08
(age_target - star_age)/age_sigma 266 121.7854808410
reducing max timestep prior to age target 266 7.9160562546669912D+08
(age_target - star_age)/age_sigma 267 119.4352437131
reducing max timestep prior to age target 267 7.7632908413531256D+08
(age_target - star_age)/age_sigma 268 117.1320113278
reducing max timestep prior to age target 268 7.6135807363055372D+08
(age_target - star_age)/age_sigma 269 114.8748435901
reducing max timestep prior to age target 269 7.4668648333589077D+08
270 7.174677 5621.171 -0.057325 -0.057325 1.000000 1.000000 0.427366 0.005328 0.247233 -1.562345 512 0
7.1577E+00 7.174677 -0.005631 -43.845427 -1.696279 -99.000000 0.000000 0.551659 0.009340 0.018404 0.110116 10
3.8372E+09 2.108517 -0.057261 -15.477469 -99.000000 -6.881523 0.000000 0.000019 0.002128 0.020976 0.000E+00 max_dt
rel_E_err 1.9060314117131678D-13
log_rel_run_E_err -10.3636130992905429
(age_target - star_age)/age_sigma 270 112.6628192072
reducing max timestep prior to age target 270 7.3230832484712029D+08
(age_target - star_age)/age_sigma 271 110.4950353120
reducing max timestep prior to age target 271 7.1821772952812576D+08
(age_target - star_age)/age_sigma 273 106.2461788774
reducing max timestep prior to age target 273 6.9060016270289612D+08
(age_target - star_age)/age_sigma 274 104.1642392244
reducing max timestep prior to age target 274 6.7706755495853376D+08
(age_target - star_age)/age_sigma 275 102.1239383645
reducing max timestep prior to age target 275 6.6380559936905813D+08
(age_target - star_age)/age_sigma 276 100.1244435217
reducing max timestep prior to age target 276 6.5080888289137220D+08
(age_target - star_age)/age_sigma 277 98.1649385759
reducing max timestep prior to age target 277 6.3807210074324036D+08
(age_target - star_age)/age_sigma 278 96.2446237289
reducing max timestep prior to age target 278 6.2559005423807096D+08
(age_target - star_age)/age_sigma 279 94.3627151789
reducing max timestep prior to age target 279 6.1335764866300488D+08
280 7.176787 5623.920 -0.053037 -0.053037 1.000000 1.000000 0.416954 0.005353 0.246478 -1.556980 515 0
7.0787E+00 7.176787 -0.003912 -43.705359 -1.689747 -99.000000 0.000000 0.562057 0.009323 0.018354 0.111307 6
3.9681E+09 2.117022 -0.052974 -99.000000 -99.000000 -6.884410 0.000000 0.000019 0.002130 0.020989 0.000E+00 max_dt
rel_E_err 1.9799709225252940D-13
log_rel_run_E_err -10.3452760644085053
(age_target - star_age)/age_sigma 280 92.5184447999
reducing max timestep prior to age target 280 6.0136989119944048D+08
(age_target - star_age)/age_sigma 281 90.7110598285
reducing max timestep prior to age target 281 5.8962188888514662D+08
(age_target - star_age)/age_sigma 282 88.9398225565
reducing max timestep prior to age target 282 5.7810884661713886D+08
(age_target - star_age)/age_sigma 283 87.2040100299
reducing max timestep prior to age target 283 5.6682606519449139D+08
(age_target - star_age)/age_sigma 284 85.5029137539
reducing max timestep prior to age target 284 5.5576893940029716D+08
(age_target - star_age)/age_sigma 285 83.8358394034
reducing max timestep prior to age target 285 5.4493295612198639D+08
(age_target - star_age)/age_sigma 286 82.2021065399
reducing max timestep prior to age target 286 5.3431369250924206D+08
(age_target - star_age)/age_sigma 287 80.6010483337
reducing max timestep prior to age target 287 5.2390681416875315D+08
(age_target - star_age)/age_sigma 288 79.0320112915
reducing max timestep prior to age target 288 5.1370807339507341D+08
(age_target - star_age)/age_sigma 289 77.4943549903
reducing max timestep prior to age target 289 5.0371330743686724D+08
290 7.178545 5626.098 -0.049502 -0.049502 1.000000 1.000000 0.408367 0.005376 0.245866 -1.552489 515 0
6.9910E+00 7.178545 -0.002481 -43.589377 -1.684278 -99.000000 0.000000 0.570633 0.009306 0.018313 0.112316 5
4.0756E+09 2.124106 -0.049440 -99.000000 -99.000000 -6.886789 0.000000 0.000019 0.002131 0.021000 0.000E+00 max_dt
rel_E_err 1.9165722478220083D-13
log_rel_run_E_err -10.3278002811317009
(age_target - star_age)/age_sigma 290 75.9874518151
reducing max timestep prior to age target 290 4.9391843679782534D+08
(age_target - star_age)/age_sigma 291 74.5106867033
reducing max timestep prior to age target 291 4.8431946357156420D+08
(age_target - star_age)/age_sigma 292 73.0634568938
reducing max timestep prior to age target 292 4.7491246980982828D+08
(age_target - star_age)/age_sigma 293 71.6451716805
reducing max timestep prior to age target 293 4.6569361592332697D+08
(age_target - star_age)/age_sigma 294 70.2552521715
reducing max timestep prior to age target 294 4.5665913911455584D+08
(age_target - star_age)/age_sigma 295 68.8931310526
reducing max timestep prior to age target 295 4.4780535184195995D+08
(age_target - star_age)/age_sigma 296 67.5582523561
reducing max timestep prior to age target 296 4.3912864031481647D+08
(age_target - star_age)/age_sigma 297 66.2500712336
reducing max timestep prior to age target 297 4.3062546301821518D+08
(age_target - star_age)/age_sigma 298 64.9680537335
reducing max timestep prior to age target 298 4.2229234926754618D+08
(age_target - star_age)/age_sigma 299 63.7116765834
reducing max timestep prior to age target 299 4.1412589779189110D+08
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
300 7.180000 5627.849 -0.046597 -0.046597 1.000000 1.000000 0.401322 0.005395 0.245369 -1.548768 515 0
6.9033E+00 7.180000 -0.001300 -43.493812 -1.679728 -99.000000 0.000000 0.577670 0.009291 0.018280 0.113161 5
4.1634E+09 2.129966 -0.046536 -15.653560 -99.000000 -6.888744 0.000000 0.000020 0.002132 0.021008 0.000E+00 max_dt
rel_E_err 1.8319612491143642D-13
log_rel_run_E_err -10.3111353507765120
(age_target - star_age)/age_sigma 300 62.4804269763
reducing max timestep prior to age target 300 4.0612277534574842D+08
save LOGS/profile7.data for model 300
save photos/x300 for model 300
(age_target - star_age)/age_sigma 301 61.2738023613
reducing max timestep prior to age target 301 3.9827971534852886D+08
(age_target - star_age)/age_sigma 302 60.0913102387
reducing max timestep prior to age target 302 3.9059351655125380D+08
(age_target - star_age)/age_sigma 303 58.9324679584
reducing max timestep prior to age target 303 3.8306104172992373D+08
(age_target - star_age)/age_sigma 304 57.7968025238
reducing max timestep prior to age target 304 3.7567921640502024D+08
(age_target - star_age)/age_sigma 305 56.6838503979
reducing max timestep prior to age target 305 3.6844502758661556D+08
(age_target - star_age)/age_sigma 306 55.5931573146
reducing max timestep prior to age target 306 3.6135552254457808D+08
(age_target - star_age)/age_sigma 308 53.4553988711
reducing max timestep prior to age target 308 3.4746009266218615D+08
(age_target - star_age)/age_sigma 309 52.4078972338
reducing max timestep prior to age target 309 3.4065133201981401D+08
310 7.181209 5629.268 -0.044199 -0.044199 1.000000 1.000000 0.395512 0.005412 0.244964 -1.545678 515 0
6.8243E+00 7.181209 -0.000320 -43.414727 -1.675933 -99.000000 0.000000 0.583473 0.009278 0.018253 0.113870 5
4.2355E+09 2.134829 -0.044139 -15.352530 -99.000000 -6.890358 0.000000 0.000020 0.002133 0.021015 0.000E+00 max_dt
rel_E_err 1.8763833139933654D-13
log_rel_run_E_err -10.2953680480719374
(age_target - star_age)/age_sigma 310 51.3813456293
reducing max timestep prior to age target 310 3.3397874659028912D+08
(age_target - star_age)/age_sigma 311 50.3753250568
reducing max timestep prior to age target 311 3.2743961286935472D+08
(age_target - star_age)/age_sigma 312 49.3894248958
reducing max timestep prior to age target 312 3.2103126182283926D+08
(age_target - star_age)/age_sigma 313 48.4232427380
reducing max timestep prior to age target 313 3.1475107779725409D+08
(age_target - star_age)/age_sigma 314 47.4763842234
reducing max timestep prior to age target 314 3.0859649745218039D+08
(age_target - star_age)/age_sigma 315 46.5484628791
reducing max timestep prior to age target 315 3.0256500871400833D+08
(age_target - star_age)/age_sigma 316 45.6390999616
reducing max timestep prior to age target 316 2.9665414975059938D+08
(age_target - star_age)/age_sigma 317 44.7479243025
reducing max timestep prior to age target 317 2.9086150796645880D+08
(age_target - star_age)/age_sigma 318 43.8745721566
reducing max timestep prior to age target 318 2.8518471901800108D+08
(age_target - star_age)/age_sigma 319 43.0186870536
reducing max timestep prior to age target 319 2.7962146584851217D+08
320 7.182220 5630.429 -0.042203 -0.042203 1.000000 1.000000 0.390681 0.005427 0.244629 -1.543094 515 0
6.7366E+00 7.182220 0.000498 -43.348795 -1.672748 -99.000000 0.000000 0.588299 0.009267 0.018231 0.114468 5
4.2953E+09 2.138892 -0.042144 -15.477469 -99.000000 -6.891702 0.000000 0.000020 0.002134 0.021021 0.000E+00 max_dt
rel_E_err 1.8672403127838765D-13
log_rel_run_E_err -10.2799336118975564
(age_target - star_age)/age_sigma 320 42.1799196527
reducing max timestep prior to age target 320 2.7416947774241352D+08
(age_target - star_age)/age_sigma 321 41.3579275998
reducing max timestep prior to age target 321 2.6882652939843655D+08
(age_target - star_age)/age_sigma 322 40.5523753879
reducing max timestep prior to age target 322 2.6359044002133942D+08
(age_target - star_age)/age_sigma 323 39.7629342203
reducing max timestep prior to age target 323 2.5845907243178368D+08
(age_target - star_age)/age_sigma 324 38.9892818760
reducing max timestep prior to age target 324 2.5343033219402027D+08
(age_target - star_age)/age_sigma 325 38.2311025786
reducing max timestep prior to age target 325 2.4850216676101112D+08
(age_target - star_age)/age_sigma 326 37.4880868672
reducing max timestep prior to age target 326 2.4367256463666248D+08
(age_target - star_age)/age_sigma 327 36.7599314700
reducing max timestep prior to age target 327 2.3893955455480099D+08
(age_target - star_age)/age_sigma 328 36.0463391807
reducing max timestep prior to age target 328 2.3430120467457581D+08
(age_target - star_age)/age_sigma 329 35.3470187372
reducing max timestep prior to age target 329 2.2975562179195595D+08
330 7.183052 5631.363 -0.040570 -0.040570 1.000000 1.000000 0.386724 0.005439 0.244357 -1.540968 514 0
6.6488E+00 7.183052 0.001171 -43.294677 -1.670122 -99.000000 0.000000 0.592251 0.009257 0.018213 0.114963 5
4.3442E+09 2.142232 -0.040511 -99.000000 -99.000000 -6.892801 0.000000 0.000020 0.002135 0.021025 0.000E+00 max_dt
rel_E_err 1.9654966400208061D-13
log_rel_run_E_err -10.2649423146919396
(age_target - star_age)/age_sigma 330 34.6616847026
reducing max timestep prior to age target 330 2.2530095056698799D+08
(age_target - star_age)/age_sigma 331 33.9900573487
reducing max timestep prior to age target 331 2.2093537276651955D+08
(age_target - star_age)/age_sigma 332 33.3318625419
reducing max timestep prior to age target 332 2.1665710652206039D+08
(age_target - star_age)/age_sigma 333 32.6868316312
reducing max timestep prior to age target 333 2.1246440560249138D+08
(age_target - star_age)/age_sigma 334 32.0547013387
reducing max timestep prior to age target 334 2.0835555870131302D+08
(age_target - star_age)/age_sigma 335 31.4352136520
reducing max timestep prior to age target 335 2.0432888873815823D+08
(age_target - star_age)/age_sigma 336 30.8281157191
reducing max timestep prior to age target 336 2.0038275217426586D+08
(age_target - star_age)/age_sigma 337 30.2331597449
reducing max timestep prior to age target 337 1.9651553834165192D+08
(age_target - star_age)/age_sigma 338 29.6501028901
reducing max timestep prior to age target 338 1.9272566878569031D+08
(age_target - star_age)/age_sigma 339 29.0787071724
reducing max timestep prior to age target 339 1.8901159662084866D+08
340 7.183736 5632.123 -0.039230 -0.039230 1.000000 1.000000 0.383484 0.005450 0.244136 -1.539223 514 0
6.5611E+00 7.183736 0.001723 -43.250268 -1.667955 -99.000000 0.000000 0.595488 0.009248 0.018198 0.115373 5
4.3841E+09 2.144976 -0.039171 -15.954590 -99.000000 -6.893703 0.000000 0.000020 0.002135 0.021028 0.000E+00 max_dt
rel_E_err 1.8299568422819451D-13
log_rel_run_E_err -10.2507725064336714
(age_target - star_age)/age_sigma 340 28.5187393691
reducing max timestep prior to age target 340 1.8537180589930248D+08
(age_target - star_age)/age_sigma 341 27.9699709219
reducing max timestep prior to age target 341 1.8180481099218845D+08
(age_target - star_age)/age_sigma 343 26.8943847653
reducing max timestep prior to age target 343 1.7481350097424316D+08
(age_target - star_age)/age_sigma 344 26.3673475485
reducing max timestep prior to age target 344 1.7138775906545067D+08
(age_target - star_age)/age_sigma 345 25.8508510761
reducing max timestep prior to age target 345 1.6803053199483395D+08
(age_target - star_age)/age_sigma 346 25.3446845332
reducing max timestep prior to age target 346 1.6474044946562862D+08
(age_target - star_age)/age_sigma 347 24.8486413211
reducing max timestep prior to age target 347 1.6151616858700848D+08
(age_target - star_age)/age_sigma 348 24.3625189732
reducing max timestep prior to age target 348 1.5835637332596016D+08
(age_target - star_age)/age_sigma 349 23.8861190723
reducing max timestep prior to age target 349 1.5525977397013283D+08
350 7.184307 5632.749 -0.038115 -0.038115 1.000000 1.000000 0.380790 0.005459 0.243952 -1.537769 514 0
6.4821E+00 7.184307 0.002184 -43.213279 -1.666145 -99.000000 0.000000 0.598179 0.009241 0.018186 0.115716 5
4.4173E+09 2.147263 -0.038057 -99.000000 -99.000000 -6.894453 0.000000 0.000020 0.002136 0.021031 0.000E+00 max_dt
rel_E_err 1.8446758931156532D-13
log_rel_run_E_err -10.2368512462877153
(age_target - star_age)/age_sigma 350 23.4192471694
reducing max timestep prior to age target 350 1.5222510660142231D+08
save LOGS/profile8.data for model 350
save photos/x350 for model 350
(age_target - star_age)/age_sigma 351 22.9617127046
reducing max timestep prior to age target 351 1.4925113258008575D+08
(age_target - star_age)/age_sigma 352 22.5133289291
reducing max timestep prior to age target 352 1.4633663803917694D+08
(age_target - star_age)/age_sigma 353 22.0739128291
reducing max timestep prior to age target 353 1.4348043338908482D+08
(age_target - star_age)/age_sigma 354 21.6432850511
reducing max timestep prior to age target 354 1.4068135283199501D+08
(age_target - star_age)/age_sigma 355 21.2212698286
reducing max timestep prior to age target 355 1.3793825388604736D+08
(age_target - star_age)/age_sigma 356 20.8076949106
reducing max timestep prior to age target 356 1.3525001691901875D+08
(age_target - star_age)/age_sigma 357 20.4023914910
reducing max timestep prior to age target 357 1.3261554469132996D+08
(age_target - star_age)/age_sigma 358 20.0051941397
reducing max timestep prior to age target 358 1.3003376190819550D+08
(age_target - star_age)/age_sigma 359 19.6159407355
reducing max timestep prior to age target 359 1.2750361478072357D+08
360 7.184777 5633.263 -0.037198 -0.037198 1.000000 1.000000 0.378576 0.005466 0.243802 -1.536572 515 0
6.3944E+00 7.184777 0.002563 -43.182839 -1.664650 -99.000000 0.000000 0.600391 0.009234 0.018176 0.116000 5
4.4445E+09 2.149147 -0.037140 -15.954590 -99.000000 -6.895072 0.000000 0.000020 0.002136 0.021034 0.000E+00 max_dt
rel_E_err 1.8294194493598304D-13
log_rel_run_E_err -10.2233772411545552
(age_target - star_age)/age_sigma 360 19.2344723994
reducing max timestep prior to age target 360 1.2502407059580135D+08
(age_target - star_age)/age_sigma 361 18.8606334299
reducing max timestep prior to age target 361 1.2259411729457664D+08
(age_target - star_age)/age_sigma 362 18.4942712399
reducing max timestep prior to age target 362 1.2021276305937767D+08
(age_target - star_age)/age_sigma 363 18.1352362937
reducing max timestep prior to age target 363 1.1787903590888214D+08
(age_target - star_age)/age_sigma 364 17.7833820464
reducing max timestep prior to age target 364 1.1559198330139637D+08
(age_target - star_age)/age_sigma 365 17.4385648840
reducing max timestep prior to age target 365 1.1335067174606037D+08
(age_target - star_age)/age_sigma 366 17.1006440649
reducing max timestep prior to age target 366 1.1115418642183113D+08
(age_target - star_age)/age_sigma 367 16.7694816622
reducing max timestep prior to age target 367 1.0900163080408669D+08
(age_target - star_age)/age_sigma 368 16.4449425075
reducing max timestep prior to age target 368 1.0689212629869652D+08
(age_target - star_age)/age_sigma 369 16.1268941359
reducing max timestep prior to age target 369 1.0482481188341522D+08
370 7.185163 5633.678 -0.036448 -0.036448 1.000000 1.000000 0.376764 0.005472 0.243680 -1.535590 515 0
6.3066E+00 7.185163 0.002873 -43.157910 -1.663423 -99.000000 0.000000 0.602200 0.009229 0.018168 0.116234 5
4.4667E+09 2.150691 -0.036391 -15.954590 -99.000000 -6.895576 0.000000 0.000020 0.002136 0.021035 0.000E+00 max_dt
rel_E_err 1.9407347228618082D-13
log_rel_run_E_err -10.2102092395003137
(age_target - star_age)/age_sigma 370 15.8152067318
reducing max timestep prior to age target 370 1.0279884375643921D+08
(age_target - star_age)/age_sigma 371 15.5097530757
reducing max timestep prior to age target 371 1.0081339499200153D+08
(age_target - star_age)/age_sigma 372 15.2104084927
reducing max timestep prior to age target 372 9.8867655202854156D+07
(age_target - star_age)/age_sigma 373 14.9170508015
reducing max timestep prior to age target 373 9.6960830209488869D+07
(age_target - star_age)/age_sigma 374 14.6295602640
reducing max timestep prior to age target 374 9.5092141715991020D+07
(age_target - star_age)/age_sigma 375 14.3478195373
reducing max timestep prior to age target 375 9.3260826992362976D+07
(age_target - star_age)/age_sigma 376 14.0717136251
reducing max timestep prior to age target 376 9.1466138563208580D+07
(age_target - star_age)/age_sigma 378 13.5305460372
reducing max timestep prior to age target 378 8.7948549242064476D+07
(age_target - star_age)/age_sigma 379 13.2653739192
reducing max timestep prior to age target 379 8.6224930474703789D+07
380 7.185481 5634.018 -0.035832 -0.035832 1.000000 1.000000 0.375275 0.005478 0.243579 -1.534782 515 0
6.2277E+00 7.185481 0.003129 -43.137387 -1.662411 -99.000000 0.000000 0.603689 0.009225 0.018161 0.116427 5
4.4850E+09 2.151962 -0.035775 -99.000000 -99.000000 -6.895991 0.000000 0.000020 0.002136 0.021037 0.000E+00 max_dt
rel_E_err 1.7668781399129401D-13
log_rel_run_E_err -10.1973511477940448
(age_target - star_age)/age_sigma 380 13.0055052435
reducing max timestep prior to age target 380 8.4535784082690239D+07
(age_target - star_age)/age_sigma 381 12.7508339413
reducing max timestep prior to age target 381 8.2880420618516922D+07
(age_target - star_age)/age_sigma 382 12.5012560652
reducing max timestep prior to age target 382 8.1258164423626900D+07
(age_target - star_age)/age_sigma 383 12.2566697466
reducing max timestep prior to age target 383 7.9668353352635384D+07
(age_target - star_age)/age_sigma 384 12.0169751543
reducing max timestep prior to age target 384 7.8110338503063202D+07
(age_target - star_age)/age_sigma 385 11.7820744539
reducing max timestep prior to age target 385 7.6583483950482368D+07
(age_target - star_age)/age_sigma 386 11.5518717675
reducing max timestep prior to age target 386 7.5087166488952637D+07
(age_target - star_age)/age_sigma 387 11.3262731349
reducing max timestep prior to age target 387 7.3620775376654625D+07
(age_target - star_age)/age_sigma 388 11.1051864749
reducing max timestep prior to age target 388 7.2183712086602211D+07
(age_target - star_age)/age_sigma 389 10.8885215481
reducing max timestep prior to age target 389 7.0775390062350273D+07
390 7.185745 5634.299 -0.035320 -0.035320 1.000000 1.000000 0.374039 0.005482 0.243496 -1.534111 515 0
6.1399E+00 7.185745 0.003342 -43.120346 -1.661569 -99.000000 0.000000 0.604923 0.009221 0.018156 0.116588 5
4.5001E+09 2.153018 -0.035263 -99.000000 -99.000000 -6.896335 0.000000 0.000020 0.002137 0.021038 0.000E+00 max_dt
rel_E_err 1.8332171578181439D-13
log_rel_run_E_err -10.1850094705129166
(age_target - star_age)/age_sigma 390 10.6761899198
reducing max timestep prior to age target 390 6.9395234478584290D+07
(age_target - star_age)/age_sigma 391 10.4681049241
reducing max timestep prior to age target 391 6.8042682006492615D+07
(age_target - star_age)/age_sigma 392 10.2641816283
reducing max timestep prior to age target 392 6.6717180583843231D+07
(age_target - star_age)/age_sigma 393 10.0643367984
reducing max timestep prior to age target 393 6.5418189189647675D+07
(age_target - star_age)/age_sigma 394 9.8684888651
reducing max timestep prior to age target 394 6.4145177623334885D+07
(age_target - star_age)/age_sigma 395 9.6765578905
reducing max timestep prior to age target 395 6.2897626288349152D+07
(age_target - star_age)/age_sigma 396 9.4884655354
reducing max timestep prior to age target 396 6.1675025980062485D+07
(age_target - star_age)/age_sigma 397 9.3041350274
reducing max timestep prior to age target 397 6.0476877677941322D+07
(age_target - star_age)/age_sigma 398 9.1234911295
reducing max timestep prior to age target 398 5.9302692341863632D+07
(age_target - star_age)/age_sigma 399 8.9464601096
reducing max timestep prior to age target 399 5.8151990712506294D+07
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
400 7.185961 5634.528 -0.034901 -0.034901 1.000000 1.000000 0.373028 0.005485 0.243428 -1.533560 515 0
6.0522E+00 7.185961 0.003516 -43.106409 -1.660879 -99.000000 0.000000 0.605933 0.009218 0.018151 0.116720 4
4.5125E+09 2.153883 -0.034845 -15.954590 -99.000000 -6.896617 0.000000 0.000021 0.002137 0.021039 0.000E+00 max_dt
rel_E_err 1.8138125686531511D-13
log_rel_run_E_err -10.1729742293218948
(age_target - star_age)/age_sigma 400 8.7729697101
reducing max timestep prior to age target 400 5.7024303115736961D+07
save LOGS/profile9.data for model 400
save photos/x400 for model 400
(age_target - star_age)/age_sigma 401 8.6029491186
reducing max timestep prior to age target 401 5.5919169270902634D+07
(age_target - star_age)/age_sigma 402 8.4363289389
reducing max timestep prior to age target 402 5.4836138102965355D+07
(age_target - star_age)/age_sigma 403 8.2730411628
reducing max timestep prior to age target 403 5.3774767558385849D+07
(age_target - star_age)/age_sigma 404 8.1130191423
reducing max timestep prior to age target 404 5.2734624424698830D+07
(age_target - star_age)/age_sigma 405 7.9561975621
reducing max timestep prior to age target 405 5.1715284153685570D+07
(age_target - star_age)/age_sigma 406 7.8025124136
reducing max timestep prior to age target 406 5.0716330688092232D+07
(age_target - star_age)/age_sigma 407 7.6519009680
reducing max timestep prior to age target 407 4.9737356291810989D+07
(age_target - star_age)/age_sigma 408 7.5043017513
reducing max timestep prior to age target 408 4.8777961383456230D+07
(age_target - star_age)/age_sigma 409 7.3596545190
reducing max timestep prior to age target 409 4.7837754373267174D+07
410 7.186138 5634.714 -0.034559 -0.034559 1.000000 1.000000 0.372202 0.005488 0.243373 -1.533110 515 0
5.9644E+00 7.186138 0.003658 -43.095008 -1.660314 -99.000000 0.000000 0.606758 0.009215 0.018148 0.116828 3
4.5226E+09 2.154591 -0.034502 -99.000000 -99.000000 -6.896847 0.000000 0.000021 0.002137 0.021040 0.000E+00 max_dt
rel_E_err 1.8480269559848414D-13
log_rel_run_E_err -10.1612223715110090
(age_target - star_age)/age_sigma 410 7.2179002313
reducing max timestep prior to age target 410 4.6916351503282547D+07
(age_target - star_age)/age_sigma 411 7.0789810293
reducing max timestep prior to age target 411 4.6013376690697670D+07
(age_target - star_age)/age_sigma 412 6.9428402114
reducing max timestep prior to age target 412 4.5128461374364853D+07
(age_target - star_age)/age_sigma 414 6.6760042084
reducing max timestep prior to age target 414 4.3394027354351044D+07
(age_target - star_age)/age_sigma 415 6.5452545669
reducing max timestep prior to age target 415 4.2544154684544563D+07
(age_target - star_age)/age_sigma 416 6.4171199182
reducing max timestep prior to age target 416 4.1711279468133926D+07
(age_target - star_age)/age_sigma 417 6.2915479625
reducing max timestep prior to age target 417 4.0895061756052017D+07
(age_target - star_age)/age_sigma 418 6.1684874459
reducing max timestep prior to age target 418 4.0095168398211479D+07
(age_target - star_age)/age_sigma 419 6.0478881396
reducing max timestep prior to age target 419 3.9311272907527924D+07
420 7.186285 5634.870 -0.034275 -0.034275 1.000000 1.000000 0.371517 0.005491 0.243326 -1.532736 515 0
5.8855E+00 7.186285 0.003776 -43.085555 -1.659846 -99.000000 0.000000 0.607442 0.009213 0.018144 0.116917 3
4.5310E+09 2.155177 -0.034218 -99.000000 -99.000000 -6.897038 0.000000 0.000021 0.002137 0.021041 0.000E+00 max_dt
rel_E_err 1.7707761994044662D-13
log_rel_run_E_err -10.1483642817584414
(age_target - star_age)/age_sigma 420 5.9297008195
reducing max timestep prior to age target 420 3.8543055326657295D+07
(age_target - star_age)/age_sigma 421 5.8138772458
reducing max timestep prior to age target 421 3.7790202097404480D+07
(age_target - star_age)/age_sigma 422 5.7003701435
reducing max timestep prior to age target 422 3.7052405932737350D+07
(age_target - star_age)/age_sigma 423 5.5891331833
reducing max timestep prior to age target 423 3.6329365691362381D+07
(age_target - star_age)/age_sigma 424 5.4801209623
reducing max timestep prior to age target 424 3.5620786254816055D+07
(age_target - star_age)/age_sigma 425 5.3732889857
reducing max timestep prior to age target 425 3.4926378406999588D+07
(age_target - star_age)/age_sigma 426 5.2685936486
reducing max timestep prior to age target 426 3.4245858716139793D+07
(age_target - star_age)/age_sigma 427 5.1659922183
reducing max timestep prior to age target 427 3.3578949419097900D+07
(age_target - star_age)/age_sigma 428 5.0654428166
reducing max timestep prior to age target 428 3.2925378307995796D+07
(age_target - star_age)/age_sigma 429 4.9661204084
reducing max timestep prior to age target 429 3.2279782654897690D+07
430 7.186406 5634.998 -0.034040 -0.034040 1.000000 1.000000 0.370952 0.005493 0.243284 -1.532428 515 0
5.8100E+00 7.186406 0.003874 -43.077749 -1.659458 -99.000000 0.000000 0.608007 0.009211 0.018142 0.116992 3
4.5379E+09 2.155662 -0.033984 -15.954590 -99.000000 -6.897196 0.000000 0.000021 0.002137 0.021041 0.000E+00 max_dt
rel_E_err 1.7407053560555489D-13
log_rel_run_E_err -10.1374898208571196
(age_target - star_age)/age_sigma 430 4.8667980003
reducing max timestep prior to age target 430 3.1634187001799583D+07
(age_target - star_age)/age_sigma 431 4.7674755921
reducing max timestep prior to age target 431 3.0988591348701477D+07
(age_target - star_age)/age_sigma 432 4.6681531839
reducing max timestep prior to age target 432 3.0342995695603371D+07
(age_target - star_age)/age_sigma 433 4.5688307758
reducing max timestep prior to age target 433 2.9697400042505264D+07
(age_target - star_age)/age_sigma 434 4.4695083676
reducing max timestep prior to age target 434 2.9051804389407158D+07
(age_target - star_age)/age_sigma 435 4.3701859594
reducing max timestep prior to age target 435 2.8406208736309052D+07
(age_target - star_age)/age_sigma 436 4.2708635513
reducing max timestep prior to age target 436 2.7760613083210945D+07
(age_target - star_age)/age_sigma 437 4.1715411431
remaining steps and years until age target 437 42 2.7115017430113792D+07
(age_target - star_age)/age_sigma 438 4.0722187349
reducing max timestep prior to age target 438 2.6469421777015686D+07
(age_target - star_age)/age_sigma 439 3.9728963268
reducing max timestep prior to age target 439 2.5823826123917580D+07
440 7.186519 5635.119 -0.033821 -0.033821 1.000000 1.000000 0.370424 0.005495 0.243245 -1.532140 515 0
5.8100E+00 7.186519 0.003965 -43.070449 -1.659095 -99.000000 0.000000 0.608535 0.009210 0.018139 0.117061 3
4.5443E+09 2.156115 -0.033765 -99.000000 -99.000000 -6.897344 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt
rel_E_err 1.6270375419780171D-13
log_rel_run_E_err -10.1268159201292356
(age_target - star_age)/age_sigma 440 3.8735739186
reducing max timestep prior to age target 440 2.5178230470819473D+07
(age_target - star_age)/age_sigma 441 3.7742515104
reducing max timestep prior to age target 441 2.4532634817721367D+07
(age_target - star_age)/age_sigma 442 3.6749291022
reducing max timestep prior to age target 442 2.3887039164623260D+07
(age_target - star_age)/age_sigma 443 3.5756066941
reducing max timestep prior to age target 443 2.3241443511525154D+07
(age_target - star_age)/age_sigma 444 3.4762842859
reducing max timestep prior to age target 444 2.2595847858427048D+07
(age_target - star_age)/age_sigma 445 3.3769618777
reducing max timestep prior to age target 445 2.1950252205328941D+07
(age_target - star_age)/age_sigma 446 3.2776394696
reducing max timestep prior to age target 446 2.1304656552230835D+07
(age_target - star_age)/age_sigma 447 3.1783170614
reducing max timestep prior to age target 447 2.0659060899132729D+07
(age_target - star_age)/age_sigma 448 3.0789946532
reducing max timestep prior to age target 448 2.0013465246034622D+07
(age_target - star_age)/age_sigma 449 2.9796722451
reducing max timestep prior to age target 449 1.9367869592936516D+07
450 7.186633 5635.239 -0.033602 -0.033602 1.000000 1.000000 0.369895 0.005497 0.243207 -1.531851 515 0
5.8100E+00 7.186633 0.004056 -43.063144 -1.658732 -99.000000 0.000000 0.609063 0.009208 0.018137 0.117131 3
4.5508E+09 2.156569 -0.033546 -15.954590 -99.000000 -6.897492 0.000000 0.000021 0.002137 0.021042 0.000E+00 max_dt
rel_E_err 1.7234489418640287D-13
log_rel_run_E_err -10.1164534741009202
(age_target - star_age)/age_sigma 450 2.8803498369
reducing max timestep prior to age target 450 1.8722273939838409D+07
save LOGS/profile10.data for model 450
save photos/x450 for model 450
(age_target - star_age)/age_sigma 451 2.7810274287
reducing max timestep prior to age target 451 1.8076678286740303D+07
(age_target - star_age)/age_sigma 452 2.6817050206
reducing max timestep prior to age target 452 1.7431082633642197D+07
(age_target - star_age)/age_sigma 453 2.5823826124
reducing max timestep prior to age target 453 1.6785486980544090D+07
(age_target - star_age)/age_sigma 454 2.4830602042
reducing max timestep prior to age target 454 1.6139891327445984D+07
(age_target - star_age)/age_sigma 455 2.3837377961
reducing max timestep prior to age target 455 1.5494295674347878D+07
(age_target - star_age)/age_sigma 456 2.2844153879
reducing max timestep prior to age target 456 1.4848700021249771D+07
(age_target - star_age)/age_sigma 457 2.1850929797
remaining steps and years until age target 457 22 1.4203104368152618D+07
(age_target - star_age)/age_sigma 458 2.0857705715
reducing max timestep prior to age target 458 1.3557508715054512D+07
(age_target - star_age)/age_sigma 459 1.9864481634
reducing max timestep prior to age target 459 1.2911913061956406D+07
460 7.186747 5635.360 -0.033382 -0.033382 1.000000 1.000000 0.369366 0.005499 0.243168 -1.531563 515 0
5.8100E+00 7.186747 0.004147 -43.055836 -1.658369 -99.000000 0.000000 0.609591 0.009206 0.018134 0.117200 3
4.5572E+09 2.157023 -0.033326 -99.000000 -99.000000 -6.897640 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt
rel_E_err 1.6569463891306771D-13
log_rel_run_E_err -10.1064044894513838
(age_target - star_age)/age_sigma 460 1.8871257552
reducing max timestep prior to age target 460 1.2266317408858299D+07
(age_target - star_age)/age_sigma 461 1.7878033470
remaining steps and years until age target 461 18 1.1620721755761147D+07
(age_target - star_age)/age_sigma 462 1.6884809389
reducing max timestep prior to age target 462 1.0975126102663040D+07
(age_target - star_age)/age_sigma 463 1.5891585307
reducing max timestep prior to age target 463 1.0329530449564934D+07
(age_target - star_age)/age_sigma 464 1.4898361225
remaining steps and years until age target 464 15 9.6839347964677811D+06
(age_target - star_age)/age_sigma 465 1.3905137144
reducing max timestep prior to age target 465 9.0383391433696747D+06
(age_target - star_age)/age_sigma 466 1.2911913062
reducing max timestep prior to age target 466 8.3927434902715683D+06
(age_target - star_age)/age_sigma 467 1.1918688980
reducing max timestep prior to age target 467 7.7471478371734619D+06
(age_target - star_age)/age_sigma 468 1.0925464899
remaining steps and years until age target 468 11 7.1015521840763092D+06
(age_target - star_age)/age_sigma 469 0.9932240817
reducing max timestep prior to age target 469 6.4559565309782028D+06
470 7.186860 5635.480 -0.033163 -0.033163 1.000000 1.000000 0.368838 0.005501 0.243129 -1.531274 515 0
5.8100E+00 7.186860 0.004238 -43.048522 -1.658005 -99.000000 0.000000 0.610119 0.009205 0.018132 0.117270 3
4.5637E+09 2.157477 -0.033107 -15.653560 -99.000000 -6.897788 0.000000 0.000021 0.002137 0.021043 0.000E+00 max_dt
rel_E_err 1.9162540550511796D-13
log_rel_run_E_err -10.0961951787681894
(age_target - star_age)/age_sigma 470 0.8939016735
remaining steps and years until age target 470 9 5.8103608778810501D+06
(age_target - star_age)/age_sigma 471 0.7945792654
reducing max timestep prior to age target 471 5.1647652247829437D+06
(age_target - star_age)/age_sigma 472 0.6952568572
reducing max timestep prior to age target 472 4.5191695716848373D+06
(age_target - star_age)/age_sigma 473 0.5959344490
reducing max timestep prior to age target 473 3.8735739185867310D+06
(age_target - star_age)/age_sigma 474 0.4966120408
reducing max timestep prior to age target 474 3.2279782654886246D+06
(age_target - star_age)/age_sigma 475 0.3972896327
remaining steps and years until age target 475 4 2.5823826123914719D+06
(age_target - star_age)/age_sigma 476 0.2979672245
reducing max timestep prior to age target 476 1.9367869592933655D+06
(age_target - star_age)/age_sigma 477 0.1986448163
reducing max timestep prior to age target 477 1.2911913061952591D+06
(age_target - star_age)/age_sigma 478 0.0993224082
chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07
save outputs/best.mod 479
save outputs/best.profile for model 479
save LOGS/profile11.data for model 479
have reached age_target
save LOGS/profile11.data for model 479
solver retries 4
varcontrol dt limit 122
max increase dt limit 1608
lgRho_cntr dt limit 55
model saved to final.mod
save photos/x479 for model 479
chi^2 combined, chi^2 seismo, chi^2 spectro 479 333656.07 0.00 333656.07
have reached age_target
runtime (minutes), retries, steps 2.51 0 479
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
479 7.186963 5635.588 -0.032965 -0.032965 1.000000 1.000000 0.368362 0.005502 0.243095 -1.531013 515 0
5.8100E+00 7.186963 0.004320 -43.041936 -1.657677 -99.000000 0.000000 0.610595 0.009203 0.018129 0.117333 3
4.5695E+09 2.157886 -0.032909 -99.000000 -99.000000 -6.897921 0.000000 0.000021 0.002138 0.021044 0.000E+00 max_dt
rel_E_err 1.7875968317184758D-13
log_rel_run_E_err -10.0874508854700053
Teff 5635.5878078368
radius 1.0099970103
radius_obs 1.0000000000
radius_sigma 0.0010000000
radius chi2term 99.9402149532
M_H 0.0294662156
M_H_obs 0.0000000000
M_H_sigma 0.0010000000
M_H chi2term 868.2578595154
log_R 0.0043200882
delta_nu 139.4758215533
nu_max 3053.6692076806
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 333656.0660248228
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 "2b91b1c" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20250328" "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 3.3351283960191312E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383768001E+03 1.0231407131234531E+00 -1.7395981942482778E-03 9.9353665865919549E-03 1.3680762272705550E+02 2.9640776267827341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191312E+05 0 0 0 0 0 0 0 3 3.3365606602482282E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368150E+03 1.0099970103007425E+00 2.9466215561476317E-02 4.3200882263932762E-03 1.3947582155333515E+02 3.0536692076805812E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482282E+05 0 0 0 0 0 0 0 2 3.3468070564325654E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272448E+03 1.0622782375814297E+00 -1.2788199776380623E-02 2.6238284372332898E-02 1.2938435093833220E+02 2.7294282123453299E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325654E+05 0 0 0 0 0 0 0
save_sample_results_to_file outputs/newuoa_results.data
next_param_to_try initial_Y 2 2.7000000000000002D-01 0.0000000000000000D+00
next_param_to_try initial_FeH 3 5.9999999999999998D-02 0.0000000000000000D+00
next_param_to_try alpha 4 2.1349999999999998D+00 4.5000000000000001D-01
read inlist_fast_newuoa
enter astero_extras_controls
create pre-main-sequence model
species mass 8 1.0000000000000000D+00
relax_num_steps 50
10 5.954489 4784.847 -12.856103 -12.856103 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 404 0
-5.0000E+00 5.954482 0.953981 -99.000000 -14.253969 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3
1.0000E-04 -1.867484 1.582129 -99.000000 -99.000000 -7.771016 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
20 5.954490 4649.587 -12.856112 -12.856112 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 405 0
-5.0000E+00 5.954483 0.953814 -99.000000 -14.253978 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3
2.0000E-04 -1.867482 1.531978 -99.000000 -99.000000 -7.748735 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
30 5.954491 4585.439 -12.856116 -12.856116 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 404 0
-5.0000E+00 5.954483 0.953710 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3
3.0000E-04 -1.867482 1.507638 -99.000000 -99.000000 -7.733582 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
40 5.954491 4547.131 -12.856119 -12.856119 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 405 0
-5.0000E+00 5.954484 0.953638 -99.000000 -14.253985 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3
4.0000E-04 -1.867481 1.492919 -99.000000 -99.000000 -7.723201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
50 5.954491 4519.875 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 403 0
-5.0000E+00 5.954484 0.953582 -99.000000 -14.253986 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 2
5.0000E-04 -1.867481 1.482364 -99.000000 -99.000000 -7.715253 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
finished doing relax num steps
relax_to_radiative_core
10 5.954492 4388.631 -12.856122 -12.856122 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396293 402 0
-2.2907E+00 5.954485 0.953141 -99.000000 -14.253988 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071343 3
1.0230E-02 -1.867479 1.430292 -99.000000 -99.000000 -7.671172 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 10 3.9251982031544069D-01
20 5.954594 4382.396 -12.854776 -12.854776 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396289 400 0
7.1957E-01 5.954587 0.952983 -99.000000 -14.252641 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071334 3
1.0486E+01 -1.867324 1.427507 -28.597850 -99.000000 -7.668684 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 20 1.9793094841443656D-01
30 6.002792 4417.348 -12.186359 -12.186359 1.000000 1.000000 0.700000 0.001010 0.279998 -6.239865 404 0
3.4640E+00 6.002792 0.903884 -99.000000 -13.584224 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3
7.7770E+03 -1.727204 1.343107 -99.000000 -99.000000 -7.622870 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 30 7.8128501201576994D-08
40 6.181888 4529.268 -9.814064 -9.814064 1.000000 1.000000 0.700000 0.001010 0.279976 -5.619112 423 0
4.0274E+00 6.181888 0.718505 -99.000000 -11.211923 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071111 3
7.3939E+04 -1.189514 1.015816 -99.000000 -99.000000 -7.442933 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 40 7.8128502311800019D-08
50 6.359711 4578.875 -7.700105 -7.700105 1.000000 1.000000 0.700000 0.001010 0.279870 -5.002863 434 0
4.5422E+00 6.359711 0.536260 -99.000000 -9.097948 -99.000000 0.000000 0.280000 0.009381 0.019894 0.071124 3
2.9002E+05 -0.655809 0.670250 -99.000000 -99.000000 -7.242625 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 50 7.8128502311800019D-08
60 6.533813 4575.555 -5.833381 -5.833381 1.000000 1.000000 0.700000 0.001010 0.279543 -4.398830 452 0
5.0646E+00 6.533813 0.358981 -99.000000 -7.231181 -99.000000 0.000000 0.280000 0.009381 0.019677 0.071139 3
1.0061E+06 -0.133217 0.314431 -99.000000 -99.000000 -7.004266 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 60 7.8128502533844624D-08
finished relax to begin radiative core 66 1.2918551937003779D-02
finished doing relax_to_radiative_core
set_initial_number_retries 0
set_uniform_initial_composition
initial_h1 7.1127416933281451D-01
initial_h2 0.0000000000000000D+00
initial_he3 2.7000000000000002D-05
initial_he4 2.6997300000000002D-01
metals GS98
relax_initial_mass to new_mass 1.0000000000000000D+00
net name basic.net
do_element_diffusion T
tau_base 4.1164335019999998D-01
atm_option: T_tau
set_cumulative_energy_error 0.0000000000000000D+00
kap_option gs98
kap_CO_option gs98_co
kap_lowT_option lowT_fa05_gs98
OMP_NUM_THREADS 4
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
(age_target - star_age)/age_sigma 1 703.0000000000
begin reducing max timestep prior to age target 1 4.5694999999999905D+09
save LOGS/profile1.data for model 1
(age_target - star_age)/age_sigma 2 703.0000000000
reducing max timestep prior to age target 2 4.5694999999999781D+09
(age_target - star_age)/age_sigma 3 703.0000000000
reducing max timestep prior to age target 3 4.5694999999999638D+09
(age_target - star_age)/age_sigma 4 703.0000000000
reducing max timestep prior to age target 4 4.5694999999999466D+09
(age_target - star_age)/age_sigma 5 703.0000000000
reducing max timestep prior to age target 5 4.5694999999999256D+09
(age_target - star_age)/age_sigma 6 703.0000000000
reducing max timestep prior to age target 6 4.5694999999999008D+09
10 6.624869 4368.472 -4.877895 -4.877895 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 461 0
-4.2874E+00 6.624869 0.260004 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 10
2.5959E-04 0.163106 0.036020 -99.000000 -99.000000 -6.915305 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6489976509887287D-13
log_rel_run_E_err -11.5757969622684485
20 6.624870 4381.393 -4.877895 -4.877895 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0
-3.4956E+00 6.624870 0.260020 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 5
1.8669E-03 0.163107 0.041182 -20.169010 -99.000000 -6.920651 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6101234709965063D-13
log_rel_run_E_err -11.2791938468776625
30 6.624871 4382.311 -4.877896 -4.877896 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0
-2.7037E+00 6.624871 0.260027 -99.000000 -6.275642 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2
1.1819E-02 0.163108 0.041561 -99.000000 -99.000000 -6.921033 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5675469849770786D-13
log_rel_run_E_err -11.1047622203057976
40 6.624872 4381.702 -4.877894 -4.877894 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022546 458 0
-1.9119E+00 6.624872 0.260029 -99.000000 -6.275641 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2
7.3439E-02 0.163110 0.041323 -99.000000 -99.000000 -6.920788 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.7545132501545664D-13
log_rel_run_E_err -10.9796572388811136
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 -20.293948 -99.000000 -6.920111 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.4324127698988965D-13
log_rel_run_E_err -10.8833168538209915
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 -20.771070 -99.000000 -6.920098 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5268205813496555D-13
log_rel_run_E_err -10.8052340867027237
70 6.624873 4380.043 -4.877883 -4.877883 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022541 458 0
4.6351E-01 6.624873 0.260017 -99.000000 -6.275630 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2
1.7444E+01 0.163114 0.040640 -20.470040 -99.000000 -6.920097 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5916051158629634D-13
log_rel_run_E_err -10.7387792043776162
80 6.624878 4380.037 -4.877828 -4.877828 1.000000 1.000000 0.711274 0.000946 0.270000 -4.022515 458 0
1.2553E+00 6.624878 0.260011 -99.000000 -6.275575 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071815 2
1.0801E+02 0.163132 0.040626 -99.000000 -99.000000 -6.920087 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6933812590643917D-13
log_rel_run_E_err -10.6805718850986988
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 2.8116144446309523D-13
log_rel_run_E_err -10.6286546858715187
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
100 6.625095 4379.751 -4.875383 -4.875383 1.000000 1.000000 0.711274 0.000946 0.270000 -4.021376 458 0
2.8389E+00 6.625095 0.259754 -99.000000 -6.273129 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071824 2
4.1409E+03 0.163950 0.039999 -99.000000 -99.000000 -6.919664 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5381903912790949D-13
log_rel_run_E_err -10.5829306332320439
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 -20.169010 -99.000000 -6.917419 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5392318149325478D-13
log_rel_run_E_err -10.5432699208650345
120 6.633021 4369.036 -4.785809 -4.785809 1.000000 1.000000 0.711274 0.000946 0.270000 -3.978782 458 0
4.4226E+00 6.633021 0.250305 -99.000000 -6.183548 -99.000000 0.000000 0.270000 0.008783 0.018726 0.072183 3
1.5875E+05 0.194225 0.016846 -99.000000 -99.000000 -6.903948 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5072428308032160D-13
log_rel_run_E_err -10.4876322430316282
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 2.4627090505489344D-13
log_rel_run_E_err -10.4768946278848230
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 2.3861836289198452D-13
log_rel_run_E_err -10.5608306799544120
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 1.8732532940037629D-13
log_rel_run_E_err -10.4341432544145771
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 -16.556650 -99.000000 -6.848893 0.000000 0.003208 0.001952 0.018730 0.000E+00 lgRho_cntr
rel_E_err 1.7439118318773577D-13
log_rel_run_E_err -10.5022972092437552
(age_target - star_age)/age_sigma 168 694.7983444915
reducing max timestep prior to age target 168 4.5161892391944971D+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 -15.653560 -99.000000 -6.810200 0.000000 0.001147 0.001953 0.019079 0.000E+00 max increase
rel_E_err 1.9000645565638966D-13
log_rel_run_E_err -10.5290656811137122
(age_target - star_age)/age_sigma 175 680.8615072529
reducing max timestep prior to age target 175 4.4255997971435289D+09
(age_target - star_age)/age_sigma 178 666.7877671812
reducing max timestep prior to age target 178 4.3341204866778688D+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 1.7489064009830326D-13
log_rel_run_E_err -10.5049941816191161
(age_target - star_age)/age_sigma 180 652.0892149130
reducing max timestep prior to age target 180 4.2385798969343929D+09
(age_target - star_age)/age_sigma 182 630.9232996467
reducing max timestep prior to age target 182 4.1010014477037873D+09
(age_target - star_age)/age_sigma 183 618.6043557890
reducing max timestep prior to age target 183 4.0209283126288080D+09
(age_target - star_age)/age_sigma 184 606.5317908085
reducing max timestep prior to age target 184 3.9424566402553282D+09
(age_target - star_age)/age_sigma 185 594.7006771276
reducing max timestep prior to age target 185 3.8655544013293176D+09
(age_target - star_age)/age_sigma 186 583.1061857203
reducing max timestep prior to age target 186 3.7901902071818275D+09
(age_target - star_age)/age_sigma 187 571.7435841411
reducing max timestep prior to age target 187 3.7163332969172869D+09
(age_target - star_age)/age_sigma 188 560.6082345935
reducing max timestep prior to age target 188 3.6439535248580375D+09
(age_target - star_age)/age_sigma 189 549.6955920369
reducing max timestep prior to age target 189 3.5730213482399726D+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 1.8728574606445498D-13
log_rel_run_E_err -10.4816607123645529
(age_target - star_age)/age_sigma 190 539.0012023314
reducing max timestep prior to age target 190 3.5035078151542697D+09
(age_target - star_age)/age_sigma 191 528.5207004200
reducing max timestep prior to age target 191 3.4353845527302804D+09
(age_target - star_age)/age_sigma 192 518.2498085469
reducing max timestep prior to age target 192 3.3686237555547709D+09
(age_target - star_age)/age_sigma 193 508.1843345112
reducing max timestep prior to age target 193 3.3031981743227720D+09
(age_target - star_age)/age_sigma 194 498.3201699562
reducing max timestep prior to age target 194 3.2390811047154126D+09
(age_target - star_age)/age_sigma 195 488.6532886923
reducing max timestep prior to age target 195 3.1762463765002003D+09
(age_target - star_age)/age_sigma 196 479.1797450537
reducing max timestep prior to age target 196 3.1146683428492928D+09
(age_target - star_age)/age_sigma 197 469.8956722879
reducing max timestep prior to age target 197 3.0543218698714032D+09
(age_target - star_age)/age_sigma 198 460.7972809774
reducing max timestep prior to age target 198 2.9951823263530712D+09
(age_target - star_age)/age_sigma 199 451.8808574931
reducing max timestep prior to age target 199 2.9372255737051058D+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 -15.255620 -99.000000 -6.849440 0.000000 0.000015 0.001975 0.019491 0.000E+00 max_dt
rel_E_err 1.9984334729086818D-13
log_rel_run_E_err -10.4580742029812086
(age_target - star_age)/age_sigma 200 443.1427624785
reducing max timestep prior to age target 200 2.8804279561100998D+09
save LOGS/profile5.data for model 200
save photos/x200 for model 200
(age_target - star_age)/age_sigma 201 434.5794293642
reducing max timestep prior to age target 201 2.8247662908669944D+09
(age_target - star_age)/age_sigma 202 426.1873629121
reducing max timestep prior to age target 202 2.7702178589287510D+09
(age_target - star_age)/age_sigma 203 417.9631377891
reducing max timestep prior to age target 203 2.7167603956292720D+09
(age_target - star_age)/age_sigma 204 409.9033971686
reducing max timestep prior to age target 204 2.6643720815957828D+09
(age_target - star_age)/age_sigma 205 402.0048513605
reducing max timestep prior to age target 205 2.6130315338429632D+09
(age_target - star_age)/age_sigma 206 394.2642764685
reducing max timestep prior to age target 206 2.5627177970452003D+09
(age_target - star_age)/age_sigma 207 386.6785130744
reducing max timestep prior to age target 207 2.5134103349833927D+09
(age_target - star_age)/age_sigma 209 371.8104168219
reducing max timestep prior to age target 209 2.4167677093422489D+09
210 7.155022 5665.627 -0.085322 -0.085322 1.000000 1.000000 0.547477 0.004835 0.256415 -1.616047 509 0
7.6754E+00 7.155022 -0.026467 -45.245504 -1.741928 -99.000000 0.000000 0.432966 0.008848 0.017891 0.097953 10
2.2001E+09 2.022322 -0.085249 -15.352530 -99.000000 -6.860640 0.000000 0.000016 0.001982 0.019557 0.000E+00 max_dt
rel_E_err 1.9863623172721452D-13
log_rel_run_E_err -10.4365538490556187
(age_target - star_age)/age_sigma 210 364.5250496582
reducing max timestep prior to age target 210 2.3694128227780890D+09
(age_target - star_age)/age_sigma 211 357.3853898377
reducing max timestep prior to age target 211 2.3230050339452119D+09
(age_target - star_age)/age_sigma 212 350.3885232137
reducing max timestep prior to age target 212 2.2775254008889923D+09
(age_target - star_age)/age_sigma 213 343.5315939221
reducing max timestep prior to age target 213 2.2329553604938970D+09
(age_target - star_age)/age_sigma 214 336.8118032164
reducing max timestep prior to age target 214 2.1892767209067039D+09
(age_target - star_age)/age_sigma 215 330.2264083248
reducing max timestep prior to age target 215 2.1464716541112552D+09
(age_target - star_age)/age_sigma 216 323.7727213310
reducing max timestep prior to age target 216 2.1045226886517148D+09
(age_target - star_age)/age_sigma 217 317.4481080771
reducing max timestep prior to age target 217 2.0634127025013652D+09
(age_target - star_age)/age_sigma 218 311.2499870883
reducing max timestep prior to age target 218 2.0231249160740228D+09
(age_target - star_age)/age_sigma 219 305.1758285193
reducing max timestep prior to age target 219 1.9836428853752270D+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 -15.954590 -99.000000 -6.870300 0.000000 0.000016 0.001988 0.019609 0.000E+00 max_dt
rel_E_err 1.8312160370491442D-13
log_rel_run_E_err -10.4155882184612203
(age_target - star_age)/age_sigma 220 299.2231531216
reducing max timestep prior to age target 220 1.9449504952904072D+09
(age_target - star_age)/age_sigma 221 293.3895312319
reducing max timestep prior to age target 221 1.9070319530072842D+09
(age_target - star_age)/age_sigma 222 287.6725817800
reducing max timestep prior to age target 222 1.8698717815698233D+09
(age_target - star_age)/age_sigma 223 282.0699713171
reducing max timestep prior to age target 223 1.8334548135611119D+09
(age_target - star_age)/age_sigma 224 276.5794130635
reducing max timestep prior to age target 224 1.7977661849125743D+09
(age_target - star_age)/age_sigma 225 271.1986659749
reducing max timestep prior to age target 225 1.7627913288370075D+09
(age_target - star_age)/age_sigma 226 265.9255338281
reducing max timestep prior to age target 226 1.7285159698829522D+09
(age_target - star_age)/age_sigma 227 260.7578643243
reducing max timestep prior to age target 227 1.6949261181079783D+09
(age_target - star_age)/age_sigma 228 255.6935482105
reducing max timestep prior to age target 228 1.6620080633685036D+09
(age_target - star_age)/age_sigma 229 250.7305184190
reducing max timestep prior to age target 229 1.6297483697238183D+09
230 7.166203 5683.811 -0.061083 -0.061083 1.000000 1.000000 0.485933 0.004919 0.251682 -1.588704 508 0
7.4999E+00 7.166203 -0.017133 -44.457149 -1.709309 -99.000000 0.000000 0.494416 0.008826 0.017596 0.103480 10
2.9714E+09 2.067752 -0.061014 -99.000000 -99.000000 -6.878404 0.000000 0.000017 0.001992 0.019650 0.000E+00 max_dt
rel_E_err 1.9435212690594930D-13
log_rel_run_E_err -10.3962661160835150
(age_target - star_age)/age_sigma 230 245.8667492234
reducing max timestep prior to age target 230 1.5981338699520268D+09
(age_target - star_age)/age_sigma 231 241.1002554116
reducing max timestep prior to age target 231 1.5671516601756711D+09
(age_target - star_age)/age_sigma 232 236.4290914761
reducing max timestep prior to age target 232 1.5367890945948429D+09
(age_target - star_age)/age_sigma 233 231.8513508193
reducing max timestep prior to age target 233 1.5070337803256307D+09
(age_target - star_age)/age_sigma 234 227.3651649757
reducing max timestep prior to age target 234 1.4778735723418031D+09
(age_target - star_age)/age_sigma 235 222.9687028489
reducing max timestep prior to age target 235 1.4492965685176516D+09
(age_target - star_age)/age_sigma 236 218.6601699646
reducing max timestep prior to age target 236 1.4212911047699833D+09
(age_target - star_age)/age_sigma 237 214.4378077380
reducing max timestep prior to age target 237 1.3938457502972689D+09
(age_target - star_age)/age_sigma 238 210.2998927560
reducing max timestep prior to age target 238 1.3669493029140081D+09
(age_target - star_age)/age_sigma 239 206.2447360736
reducing max timestep prior to age target 239 1.3405907844784131D+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 1.8226828584332289D-13
log_rel_run_E_err -10.3778812410979882
(age_target - star_age)/age_sigma 240 202.2706825249
reducing max timestep prior to age target 240 1.3147594364115295D+09
(age_target - star_age)/age_sigma 241 198.3761100471
reducing max timestep prior to age target 241 1.2894447153059835D+09
(age_target - star_age)/age_sigma 242 194.5594290189
reducing max timestep prior to age target 242 1.2646362886225486D+09
(age_target - star_age)/age_sigma 244 187.0787342035
reducing max timestep prior to age target 244 1.2160117723230166D+09
(age_target - star_age)/age_sigma 245 183.4131937440
reducing max timestep prior to age target 245 1.1921857593362460D+09
(age_target - star_age)/age_sigma 246 179.8209640937
reducing max timestep prior to age target 246 1.1688362666092110D+09
(age_target - star_age)/age_sigma 247 176.3005790364
reducing max timestep prior to age target 247 1.1459537637367163D+09
(age_target - star_age)/age_sigma 248 172.8506016803
reducing max timestep prior to age target 248 1.1235289109216709D+09
(age_target - star_age)/age_sigma 249 169.4696238712
reducing max timestep prior to age target 249 1.1015525551629272D+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 -15.954590 -99.000000 -6.890854 0.000000 0.000018 0.001999 0.019706 0.000E+00 max_dt
rel_E_err 1.7946744854168614D-13
log_rel_run_E_err -10.3601466370617761
(age_target - star_age)/age_sigma 250 166.1562656184
reducing max timestep prior to age target 250 1.0800157265193582D+09
save LOGS/profile6.data for model 250
save photos/x250 for model 250
(age_target - star_age)/age_sigma 251 162.9091745306
reducing max timestep prior to age target 251 1.0589096344486609D+09
(age_target - star_age)/age_sigma 252 159.7270252645
reducing max timestep prior to age target 252 1.0382256642193770D+09
(age_target - star_age)/age_sigma 253 156.6085189838
reducing max timestep prior to age target 253 1.0179553733946791D+09
(age_target - star_age)/age_sigma 254 153.5523828287
reducing max timestep prior to age target 254 9.9809048838647509D+08
(age_target - star_age)/age_sigma 255 150.5573693967
reducing max timestep prior to age target 255 9.7862290107843494D+08
(age_target - star_age)/age_sigma 256 147.6222562333
reducing max timestep prior to age target 256 9.5954466551655579D+08
(age_target - star_age)/age_sigma 257 144.7458453332
reducing max timestep prior to age target 257 9.4084799466591406D+08
(age_target - star_age)/age_sigma 258 141.9269626511
reducing max timestep prior to age target 258 9.2252525723228550D+08
(age_target - star_age)/age_sigma 259 139.1644576227
reducing max timestep prior to age target 259 9.0456897454732943D+08
260 7.177642 5699.441 -0.037664 -0.037664 1.000000 1.000000 0.427673 0.005035 0.247379 -1.560533 508 0
7.2454E+00 7.177642 -0.007811 -43.691751 -1.674986 -99.000000 0.000000 0.552601 0.008757 0.017329 0.109521 10
3.6825E+09 2.113618 -0.037600 -15.176439 -99.000000 -6.895633 0.000000 0.000018 0.002001 0.019726 0.000E+00 max_dt
rel_E_err 1.8098700556163905D-13
log_rel_run_E_err -10.3432415305769361
(age_target - star_age)/age_sigma 260 136.4572026948
reducing max timestep prior to age target 260 8.8697181751607227D+08
(age_target - star_age)/age_sigma 261 133.8040928655
reducing max timestep prior to age target 261 8.6972660362544012D+08
(age_target - star_age)/age_sigma 262 131.2040452327
reducing max timestep prior to age target 262 8.5282629401262093D+08
(age_target - star_age)/age_sigma 263 128.6559985526
reducing max timestep prior to age target 263 8.3626399059205818D+08
(age_target - star_age)/age_sigma 264 126.1589128061
reducing max timestep prior to age target 264 8.2003293323990679D+08
(age_target - star_age)/age_sigma 265 123.7117687746
reducing max timestep prior to age target 265 8.0412649703479815D+08
(age_target - star_age)/age_sigma 266 121.3135676237
reducing max timestep prior to age target 266 7.8853818955379152D+08
(age_target - star_age)/age_sigma 267 118.9633304958
reducing max timestep prior to age target 267 7.7326164822240543D+08
(age_target - star_age)/age_sigma 268 116.6600981104
reducing max timestep prior to age target 268 7.5829063771764660D+08
(age_target - star_age)/age_sigma 269 114.4029303728
reducing max timestep prior to age target 269 7.4361904742298317D+08
270 7.180293 5702.705 -0.032327 -0.032327 1.000000 1.000000 0.414494 0.005068 0.246428 -1.553877 508 0
7.1577E+00 7.180293 -0.005641 -43.516208 -1.666734 -99.000000 0.000000 0.565765 0.008733 0.017270 0.111022 10
3.8403E+09 2.124300 -0.032265 -99.000000 -99.000000 -6.899559 0.000000 0.000018 0.002003 0.019741 0.000E+00 max_dt
rel_E_err 1.7635155286570297D-13
log_rel_run_E_err -10.3267575959264306
(age_target - star_age)/age_sigma 270 112.1909059899
reducing max timestep prior to age target 270 7.2924088893421316D+08
(age_target - star_age)/age_sigma 271 110.0231220946
reducing max timestep prior to age target 271 7.1515029361521816D+08
(age_target - star_age)/age_sigma 272 107.8986938773
reducing max timestep prior to age target 272 7.0134151020260334D+08
(age_target - star_age)/age_sigma 273 105.8167542243
reducing max timestep prior to age target 273 6.8780890245824099D+08
(age_target - star_age)/age_sigma 274 103.7764533644
reducing max timestep prior to age target 274 6.7454694686876583D+08
(age_target - star_age)/age_sigma 275 101.7769585217
reducing max timestep prior to age target 275 6.6155023039107990D+08
(age_target - star_age)/age_sigma 276 99.8174535758
reducing max timestep prior to age target 276 6.4881344824294758D+08
(age_target - star_age)/age_sigma 277 97.8971387289
reducing max timestep prior to age target 277 6.3633140173777819D+08
(age_target - star_age)/age_sigma 279 94.1333216289
reducing max timestep prior to age target 279 6.1186659058764601D+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 10
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 1.7836560414100717D-13
log_rel_run_E_err -10.3110355064551609
(age_target - star_age)/age_sigma 280 92.2890512499
reducing max timestep prior to age target 280 5.9987883312408161D+08
(age_target - star_age)/age_sigma 281 90.4816662784
reducing max timestep prior to age target 281 5.8813083080978775D+08
(age_target - star_age)/age_sigma 282 88.7104290064
reducing max timestep prior to age target 282 5.7661778854177999D+08
(age_target - star_age)/age_sigma 283 86.9746164799
reducing max timestep prior to age target 283 5.6533500711913252D+08
(age_target - star_age)/age_sigma 284 85.2735202038
reducing max timestep prior to age target 284 5.5427788132493830D+08
(age_target - star_age)/age_sigma 285 83.6064458533
reducing max timestep prior to age target 285 5.4344189804662752D+08
(age_target - star_age)/age_sigma 286 81.9727129898
reducing max timestep prior to age target 286 5.3282263443388367D+08
(age_target - star_age)/age_sigma 287 80.3716547836
reducing max timestep prior to age target 287 5.2241575609339428D+08
(age_target - star_age)/age_sigma 288 78.8026177415
reducing max timestep prior to age target 288 5.1221701531971455D+08
(age_target - star_age)/age_sigma 289 77.2649614402
reducing max timestep prior to age target 289 5.0222224936150837D+08
290 7.184383 5707.432 -0.024215 -0.024215 1.000000 1.000000 0.394530 0.005126 0.245028 -1.543572 509 0
6.9910E+00 7.184383 -0.002306 -43.248093 -1.653865 -99.000000 0.000000 0.585709 0.008687 0.017184 0.113400 5
4.0771E+09 2.140758 -0.024156 -15.255620 -99.000000 -6.905509 0.000000 0.000019 0.002006 0.019761 0.000E+00 max_dt
rel_E_err 1.7698704192626264D-13
log_rel_run_E_err -10.2954661504529348
(age_target - star_age)/age_sigma 290 75.7580582650
reducing max timestep prior to age target 290 4.9242737872246647D+08
(age_target - star_age)/age_sigma 291 74.2812931533
reducing max timestep prior to age target 291 4.8282840549620533D+08
(age_target - star_age)/age_sigma 292 72.8340633438
reducing max timestep prior to age target 292 4.7342141173446941D+08
(age_target - star_age)/age_sigma 293 71.4157781305
reducing max timestep prior to age target 293 4.6420255784796810D+08
(age_target - star_age)/age_sigma 294 70.0258586214
reducing max timestep prior to age target 294 4.5516808103919697D+08
(age_target - star_age)/age_sigma 295 68.6637375026
reducing max timestep prior to age target 295 4.4631429376660109D+08
(age_target - star_age)/age_sigma 296 67.3288588061
reducing max timestep prior to age target 296 4.3763758223945761D+08
(age_target - star_age)/age_sigma 297 66.0206776835
reducing max timestep prior to age target 297 4.2913440494285631D+08
(age_target - star_age)/age_sigma 298 64.7386601834
reducing max timestep prior to age target 298 4.2080129119218731D+08
(age_target - star_age)/age_sigma 299 63.4822830333
reducing max timestep prior to age target 299 4.1263483971653223D+08
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
300 7.185934 5709.125 -0.021179 -0.021179 1.000000 1.000000 0.387071 0.005149 0.244517 -1.539669 509 0
6.9033E+00 7.185934 -0.001046 -43.147215 -1.648943 -99.000000 0.000000 0.593161 0.008666 0.017152 0.114321 5
4.1649E+09 2.146984 -0.021120 -99.000000 -99.000000 -6.907729 0.000000 0.000019 0.002008 0.019768 0.000E+00 max_dt
rel_E_err 1.9204102806407762D-13
log_rel_run_E_err -10.2804243507384818
(age_target - star_age)/age_sigma 300 62.2510334262
reducing max timestep prior to age target 300 4.0463171727038956D+08
save LOGS/profile7.data for model 300
save photos/x300 for model 300
(age_target - star_age)/age_sigma 301 61.0444088113
reducing max timestep prior to age target 301 3.9678865727316999D+08
(age_target - star_age)/age_sigma 302 59.8619166886
reducing max timestep prior to age target 302 3.8910245847589493D+08
(age_target - star_age)/age_sigma 303 58.7030744084
reducing max timestep prior to age target 303 3.8156998365456486D+08
(age_target - star_age)/age_sigma 304 57.5674089738
reducing max timestep prior to age target 304 3.7418815832966137D+08
(age_target - star_age)/age_sigma 305 56.4544568479
reducing max timestep prior to age target 305 3.6695396951125669D+08
(age_target - star_age)/age_sigma 306 55.3637637645
reducing max timestep prior to age target 306 3.5986446446921968D+08
(age_target - star_age)/age_sigma 307 54.2948845428
reducing max timestep prior to age target 307 3.5291674952802324D+08
(age_target - star_age)/age_sigma 308 53.2473829055
reducing max timestep prior to age target 308 3.4610798888565111D+08
(age_target - star_age)/age_sigma 309 52.2208313009
reducing max timestep prior to age target 309 3.3943540345612621D+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 1.7535268561470475D-13
log_rel_run_E_err -10.2660526834790016
(age_target - star_age)/age_sigma 310 51.2148107285
reducing max timestep prior to age target 310 3.3289626973519182D+08
(age_target - star_age)/age_sigma 311 50.2289105675
reducing max timestep prior to age target 311 3.2648791868867636D+08
(age_target - star_age)/age_sigma 312 49.2627284097
reducing max timestep prior to age target 312 3.2020773466309118D+08
(age_target - star_age)/age_sigma 314 47.3690113805
reducing max timestep prior to age target 314 3.0789857397294378D+08
(age_target - star_age)/age_sigma 315 46.4410900361
reducing max timestep prior to age target 315 3.0186708523477173D+08
(age_target - star_age)/age_sigma 316 45.5317271187
reducing max timestep prior to age target 316 2.9595622627136326D+08
(age_target - star_age)/age_sigma 317 44.6405514596
reducing max timestep prior to age target 317 2.9016358448722219D+08
(age_target - star_age)/age_sigma 318 43.7671993137
reducing max timestep prior to age target 318 2.8448679553876448D+08
(age_target - star_age)/age_sigma 319 42.9113142107
reducing max timestep prior to age target 319 2.7892354236927557D+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 1.7508787769169426D-13
log_rel_run_E_err -10.2519693084402022
(age_target - star_age)/age_sigma 320 42.0725468097
reducing max timestep prior to age target 320 2.7347155426317692D+08
(age_target - star_age)/age_sigma 321 41.2505547568
reducing max timestep prior to age target 321 2.6812860591919994D+08
(age_target - star_age)/age_sigma 322 40.4450025449
reducing max timestep prior to age target 322 2.6289251654210281D+08
(age_target - star_age)/age_sigma 323 39.6555613773
reducing max timestep prior to age target 323 2.5776114895254707D+08
(age_target - star_age)/age_sigma 324 38.8819090330
reducing max timestep prior to age target 324 2.5273240871478367D+08
(age_target - star_age)/age_sigma 325 38.1237297357
reducing max timestep prior to age target 325 2.4780424328177452D+08
(age_target - star_age)/age_sigma 326 37.3807140242
reducing max timestep prior to age target 326 2.4297464115742588D+08
(age_target - star_age)/age_sigma 327 36.6525586270
reducing max timestep prior to age target 327 2.3824163107556438D+08
(age_target - star_age)/age_sigma 328 35.9389663377
reducing max timestep prior to age target 328 2.3360328119533920D+08
(age_target - star_age)/age_sigma 329 35.2396458943
reducing max timestep prior to age target 329 2.2905769831271935D+08
330 7.189177 5712.501 -0.014901 -0.014901 1.000000 1.000000 0.371674 0.005203 0.243475 -1.531529 510 0
6.6488E+00 7.189177 0.001578 -42.937728 -1.638577 -99.000000 0.000000 0.608544 0.008619 0.017088 0.116282 5
4.3449E+09 2.159966 -0.014846 -99.000000 -99.000000 -6.912310 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt
rel_E_err 1.8420258252556482D-13
log_rel_run_E_err -10.2382886082457567
(age_target - star_age)/age_sigma 330 34.5543118597
reducing max timestep prior to age target 330 2.2460302708775139D+08
(age_target - star_age)/age_sigma 331 33.8826845057
reducing max timestep prior to age target 331 2.2023744928728294D+08
(age_target - star_age)/age_sigma 332 33.2244896989
reducing max timestep prior to age target 332 2.1595918304282379D+08
(age_target - star_age)/age_sigma 333 32.5794587882
reducing max timestep prior to age target 333 2.1176648212325478D+08
(age_target - star_age)/age_sigma 334 31.9473284957
reducing max timestep prior to age target 334 2.0765763522207642D+08
(age_target - star_age)/age_sigma 335 31.3278408091
reducing max timestep prior to age target 335 2.0363096525892162D+08
(age_target - star_age)/age_sigma 336 30.7207428762
reducing max timestep prior to age target 336 1.9968482869503021D+08
(age_target - star_age)/age_sigma 337 30.1257869019
reducing max timestep prior to age target 337 1.9581761486241627D+08
(age_target - star_age)/age_sigma 338 29.5427300471
reducing max timestep prior to age target 338 1.9202774530645466D+08
(age_target - star_age)/age_sigma 339 28.9713343295
reducing max timestep prior to age target 339 1.8831367314161205D+08
340 7.189908 5713.237 -0.013498 -0.013498 1.000000 1.000000 0.368240 0.005216 0.243226 -1.529697 510 0
6.5611E+00 7.189908 0.002167 -42.890764 -1.636226 -99.000000 0.000000 0.611976 0.008608 0.017073 0.116731 5
4.3848E+09 2.162886 -0.013443 -15.954590 -99.000000 -6.913337 0.000000 0.000020 0.002010 0.019784 0.000E+00 max_dt
rel_E_err 1.8608265862761808D-13
log_rel_run_E_err -10.2250389280882654
(age_target - star_age)/age_sigma 340 28.4113665262
reducing max timestep prior to age target 340 1.8467388242006683D+08
(age_target - star_age)/age_sigma 341 27.8625980789
reducing max timestep prior to age target 341 1.8110688751295185D+08
(age_target - star_age)/age_sigma 342 27.3248050006
reducing max timestep prior to age target 342 1.7761123250397968D+08
(age_target - star_age)/age_sigma 343 26.7977677839
reducing max timestep prior to age target 343 1.7418549059518623D+08
(age_target - star_age)/age_sigma 344 26.2812713115
reducing max timestep prior to age target 344 1.7082826352456951D+08
(age_target - star_age)/age_sigma 345 25.7751047685
reducing max timestep prior to age target 345 1.6753818099536514D+08
(age_target - star_age)/age_sigma 346 25.2790615564
reducing max timestep prior to age target 346 1.6431390011674404D+08
(age_target - star_age)/age_sigma 348 24.3068168607
reducing max timestep prior to age target 348 1.5799430959464836D+08
(age_target - star_age)/age_sigma 349 23.8304169598
reducing max timestep prior to age target 349 1.5489771023882103D+08
350 7.190512 5713.836 -0.012343 -0.012343 1.000000 1.000000 0.365412 0.005226 0.243022 -1.528184 510 0
6.4821E+00 7.190512 0.002654 -42.852035 -1.634279 -99.000000 0.000000 0.614801 0.008598 0.017060 0.117104 5
4.4176E+09 2.165296 -0.012288 -99.000000 -99.000000 -6.914182 0.000000 0.000020 0.002011 0.019787 0.000E+00 max_dt
rel_E_err 1.7157738088602694D-13
log_rel_run_E_err -10.2121678459001721
(age_target - star_age)/age_sigma 350 23.3635450569
reducing max timestep prior to age target 350 1.5186304287011051D+08
save LOGS/profile8.data for model 350
save photos/x350 for model 350
(age_target - star_age)/age_sigma 351 22.9060105921
reducing max timestep prior to age target 351 1.4888906884877396D+08
(age_target - star_age)/age_sigma 352 22.4576268166
reducing max timestep prior to age target 352 1.4597457430786514D+08
(age_target - star_age)/age_sigma 353 22.0182107166
reducing max timestep prior to age target 353 1.4311836965777302D+08
(age_target - star_age)/age_sigma 354 21.5875829386
reducing max timestep prior to age target 354 1.4031928910068321D+08
(age_target - star_age)/age_sigma 355 21.1655677161
reducing max timestep prior to age target 355 1.3757619015473557D+08
(age_target - star_age)/age_sigma 356 20.7519927981
reducing max timestep prior to age target 356 1.3488795318770695D+08
(age_target - star_age)/age_sigma 357 20.3466893785
reducing max timestep prior to age target 357 1.3225348096001816D+08
(age_target - star_age)/age_sigma 358 19.9494920272
reducing max timestep prior to age target 358 1.2967169817688370D+08
(age_target - star_age)/age_sigma 359 19.5602386230
reducing max timestep prior to age target 359 1.2714155104941177D+08
360 7.191014 5714.329 -0.011383 -0.011383 1.000000 1.000000 0.363065 0.005236 0.242855 -1.526925 510 0
6.3944E+00 7.191014 0.003058 -42.819834 -1.632656 -99.000000 0.000000 0.617147 0.008590 0.017050 0.117416 5
4.4448E+09 2.167303 -0.011329 -99.000000 -99.000000 -6.914883 0.000000 0.000020 0.002011 0.019788 0.000E+00 max_dt
rel_E_err 1.7815302273981590D-13
log_rel_run_E_err -10.1998464163670697
(age_target - star_age)/age_sigma 360 19.1787702868
reducing max timestep prior to age target 360 1.2466200686448860D+08
(age_target - star_age)/age_sigma 361 18.8049313174
reducing max timestep prior to age target 361 1.2223205356326485D+08
(age_target - star_age)/age_sigma 362 18.4385691274
reducing max timestep prior to age target 362 1.1985069932806587D+08
(age_target - star_age)/age_sigma 363 18.0795341812
reducing max timestep prior to age target 363 1.1751697217757034D+08
(age_target - star_age)/age_sigma 364 17.7276799339
reducing max timestep prior to age target 364 1.1522991957008457D+08
(age_target - star_age)/age_sigma 365 17.3828627715
reducing max timestep prior to age target 365 1.1298860801474857D+08
(age_target - star_age)/age_sigma 366 17.0449419524
reducing max timestep prior to age target 366 1.1079212269051933D+08
(age_target - star_age)/age_sigma 367 16.7137795497
reducing max timestep prior to age target 367 1.0863956707277489D+08
(age_target - star_age)/age_sigma 368 16.3892403950
reducing max timestep prior to age target 368 1.0653006256738472D+08
(age_target - star_age)/age_sigma 369 16.0711920234
reducing max timestep prior to age target 369 1.0446274815210342D+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 1.8281606523113227D-13
log_rel_run_E_err -10.1876850188286792
(age_target - star_age)/age_sigma 370 15.7595046193
reducing max timestep prior to age target 370 1.0243678002512646D+08
(age_target - star_age)/age_sigma 371 15.4540509632
reducing max timestep prior to age target 371 1.0045133126068974D+08
(age_target - star_age)/age_sigma 372 15.1547063802
reducing max timestep prior to age target 372 9.8505591471542358D+07
(age_target - star_age)/age_sigma 373 14.8613486890
reducing max timestep prior to age target 373 9.6598766478177071D+07
(age_target - star_age)/age_sigma 374 14.5738581515
reducing max timestep prior to age target 374 9.4730077984679222D+07
(age_target - star_age)/age_sigma 375 14.2921174248
reducing max timestep prior to age target 375 9.2898763261051178D+07
(age_target - star_age)/age_sigma 376 14.0160115126
reducing max timestep prior to age target 376 9.1104074831896782D+07
(age_target - star_age)/age_sigma 377 13.7454277187
reducing max timestep prior to age target 377 8.9345280171324730D+07
(age_target - star_age)/age_sigma 378 13.4802556006
reducing max timestep prior to age target 378 8.7621661403964043D+07
(age_target - star_age)/age_sigma 379 13.2203869249
reducing max timestep prior to age target 379 8.5932515011950493D+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 -15.954590 -99.000000 -6.915925 0.000000 0.000020 0.002011 0.019791 0.000E+00 max_dt
rel_E_err 1.8237451419662593D-13
log_rel_run_E_err -10.1757268364333786
(age_target - star_age)/age_sigma 380 12.9657156227
reducing max timestep prior to age target 380 8.4277151547777176D+07
(age_target - star_age)/age_sigma 381 12.7161377466
reducing max timestep prior to age target 381 8.2654895352887154D+07
(age_target - star_age)/age_sigma 382 12.4715514280
reducing max timestep prior to age target 382 8.1065084281895638D+07
(age_target - star_age)/age_sigma 384 11.9921622435
reducing max timestep prior to age target 384 7.7949054582750320D+07
(age_target - star_age)/age_sigma 385 11.7572615431
reducing max timestep prior to age target 385 7.6422200030169487D+07
(age_target - star_age)/age_sigma 386 11.5270588567
reducing max timestep prior to age target 386 7.4925882568640709D+07
(age_target - star_age)/age_sigma 387 11.3014602241
reducing max timestep prior to age target 387 7.3459491456341743D+07
(age_target - star_age)/age_sigma 388 11.0803735640
reducing max timestep prior to age target 388 7.2022428166289330D+07
(age_target - star_age)/age_sigma 389 10.8637086372
reducing max timestep prior to age target 389 7.0614106142038345D+07
390 7.192045 5715.324 -0.009423 -0.009423 1.000000 1.000000 0.358270 0.005255 0.242514 -1.524344 510 0
6.1399E+00 7.192045 0.003887 -42.753946 -1.629320 -99.000000 0.000000 0.621938 0.008572 0.017029 0.118059 5
4.5003E+09 2.171414 -0.009370 -99.000000 -99.000000 -6.916314 0.000000 0.000020 0.002012 0.019792 0.000E+00 max_dt
rel_E_err 1.7619046669122871D-13
log_rel_run_E_err -10.1643839599161385
(age_target - star_age)/age_sigma 390 10.6513770090
reducing max timestep prior to age target 390 6.9233950558271408D+07
(age_target - star_age)/age_sigma 391 10.4432920133
reducing max timestep prior to age target 391 6.7881398086180687D+07
(age_target - star_age)/age_sigma 392 10.2393687175
reducing max timestep prior to age target 392 6.6555896663531303D+07
(age_target - star_age)/age_sigma 393 10.0395238876
reducing max timestep prior to age target 393 6.5256905269334793D+07
(age_target - star_age)/age_sigma 394 9.8436759543
reducing max timestep prior to age target 394 6.3983893703022957D+07
(age_target - star_age)/age_sigma 395 9.6517449797
reducing max timestep prior to age target 395 6.2736342368036270D+07
(age_target - star_age)/age_sigma 396 9.4636526246
reducing max timestep prior to age target 396 6.1513742059749603D+07
(age_target - star_age)/age_sigma 397 9.2793221166
reducing max timestep prior to age target 397 6.0315593757629395D+07
(age_target - star_age)/age_sigma 398 9.0986782187
reducing max timestep prior to age target 398 5.9141408421550751D+07
(age_target - star_age)/age_sigma 399 8.9216471988
reducing max timestep prior to age target 399 5.7990706792194366D+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 4
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 1.7149895764207091D-13
log_rel_run_E_err -10.1532902407239138
(age_target - star_age)/age_sigma 400 8.7481567993
reducing max timestep prior to age target 400 5.6863019195425034D+07
save LOGS/profile9.data for model 400
save photos/x400 for model 400
(age_target - star_age)/age_sigma 401 8.5781362078
reducing max timestep prior to age target 401 5.5757885350590706D+07
(age_target - star_age)/age_sigma 402 8.4115160281
reducing max timestep prior to age target 402 5.4674854182652473D+07
(age_target - star_age)/age_sigma 403 8.2482282520
reducing max timestep prior to age target 403 5.3613483638073921D+07
(age_target - star_age)/age_sigma 404 8.0882062314
reducing max timestep prior to age target 404 5.2573340504386902D+07
(age_target - star_age)/age_sigma 405 7.9313846513
reducing max timestep prior to age target 405 5.1554000233373642D+07
(age_target - star_age)/age_sigma 406 7.7776995027
reducing max timestep prior to age target 406 5.0555046767780304D+07
(age_target - star_age)/age_sigma 407 7.6270880572
reducing max timestep prior to age target 407 4.9576072371499062D+07
(age_target - star_age)/age_sigma 408 7.4794888405
reducing max timestep prior to age target 408 4.8616677463143349D+07
(age_target - star_age)/age_sigma 409 7.3348416081
reducing max timestep prior to age target 409 4.7676470452955246D+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 -15.255620 -99.000000 -6.916895 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt
rel_E_err 1.8127802128940462D-13
log_rel_run_E_err -10.1423577903121256
(age_target - star_age)/age_sigma 410 7.1930873205
reducing max timestep prior to age target 410 4.6755067582970619D+07
(age_target - star_age)/age_sigma 411 7.0541681185
reducing max timestep prior to age target 411 4.5852092770385742D+07
(age_target - star_age)/age_sigma 412 6.9180273006
reducing max timestep prior to age target 412 4.4967177454051971D+07
(age_target - star_age)/age_sigma 413 6.7846092991
reducing max timestep prior to age target 413 4.4099960444045067D+07
(age_target - star_age)/age_sigma 414 6.6538596576
reducing max timestep prior to age target 414 4.3250087774238586D+07
(age_target - star_age)/age_sigma 415 6.5257250089
reducing max timestep prior to age target 415 4.2417212557828903D+07
(age_target - star_age)/age_sigma 416 6.4001530532
reducing max timestep prior to age target 416 4.1600994845746040D+07
(age_target - star_age)/age_sigma 418 6.1540320200
reducing max timestep prior to age target 418 4.0001208130064964D+07
(age_target - star_age)/age_sigma 419 6.0334327138
reducing max timestep prior to age target 419 3.9217312639381409D+07
420 7.192621 5715.870 -0.008332 -0.008332 1.000000 1.000000 0.355601 0.005266 0.242327 -1.522902 510 0
5.8855E+00 7.192621 0.004349 -42.717193 -1.627452 -99.000000 0.000000 0.624605 0.008561 0.017017 0.118421 3
4.5311E+09 2.173710 -0.008279 -99.000000 -99.000000 -6.917109 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt
rel_E_err 1.8127087246134965D-13
log_rel_run_E_err -10.1318049366883294
(age_target - star_age)/age_sigma 420 5.9152453936
reducing max timestep prior to age target 420 3.8449095058511734D+07
(age_target - star_age)/age_sigma 421 5.7994218199
reducing max timestep prior to age target 421 3.7696241829258919D+07
(age_target - star_age)/age_sigma 422 5.6859147176
reducing max timestep prior to age target 422 3.6958445664590836D+07
(age_target - star_age)/age_sigma 423 5.5746777574
reducing max timestep prior to age target 423 3.6235405423216820D+07
(age_target - star_age)/age_sigma 424 5.4656655364
reducing max timestep prior to age target 424 3.5526825986669540D+07
(age_target - star_age)/age_sigma 425 5.3588335598
reducing max timestep prior to age target 425 3.4832418138854027D+07
(age_target - star_age)/age_sigma 426 5.2541382228
reducing max timestep prior to age target 426 3.4151898447994232D+07
(age_target - star_age)/age_sigma 427 5.1515367925
reducing max timestep prior to age target 427 3.3484989150951385D+07
(age_target - star_age)/age_sigma 428 5.0509873907
reducing max timestep prior to age target 428 3.2831418039850235D+07
(age_target - star_age)/age_sigma 429 4.9519484223
remaining steps and years until age target 429 50 3.2187664744951248D+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 1.7722264634196468D-13
log_rel_run_E_err -10.1218011017772049
(age_target - star_age)/age_sigma 430 4.8529094539
remaining steps and years until age target 430 49 3.1543911450052261D+07
(age_target - star_age)/age_sigma 431 4.7538704854
remaining steps and years until age target 431 48 3.0900158155153275D+07
(age_target - star_age)/age_sigma 432 4.6548315170
remaining steps and years until age target 432 47 3.0256404860254288D+07
(age_target - star_age)/age_sigma 433 4.5557925485
remaining steps and years until age target 433 46 2.9612651565355301D+07
(age_target - star_age)/age_sigma 434 4.4567535801
remaining steps and years until age target 434 45 2.8968898270456314D+07
(age_target - star_age)/age_sigma 435 4.3577146116
remaining steps and years until age target 435 44 2.8325144975557327D+07
(age_target - star_age)/age_sigma 436 4.2586756432
remaining steps and years until age target 436 43 2.7681391680658340D+07
(age_target - star_age)/age_sigma 437 4.1596366747
remaining steps and years until age target 437 42 2.7037638385759354D+07
(age_target - star_age)/age_sigma 438 4.0605977063
remaining steps and years until age target 438 41 2.6393885090860367D+07
(age_target - star_age)/age_sigma 439 3.9615587378
remaining steps and years until age target 439 40 2.5750131795961380D+07
440 7.192871 5716.106 -0.007858 -0.007858 1.000000 1.000000 0.354443 0.005271 0.242245 -1.522274 510 0
5.8087E+00 7.192871 0.004550 -42.701229 -1.626638 -99.000000 0.000000 0.625762 0.008557 0.017012 0.118579 3
4.5444E+09 2.174708 -0.007806 -15.477469 -99.000000 -6.917454 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt
rel_E_err 1.9423690921050907D-13
log_rel_run_E_err -10.1113828813339577
(age_target - star_age)/age_sigma 440 3.8625197694
remaining steps and years until age target 440 39 2.5106378501062393D+07
(age_target - star_age)/age_sigma 441 3.7634808009
remaining steps and years until age target 441 38 2.4462625206163406D+07
(age_target - star_age)/age_sigma 442 3.6644418325
remaining steps and years until age target 442 37 2.3818871911264420D+07
(age_target - star_age)/age_sigma 443 3.5654028641
remaining steps and years until age target 443 36 2.3175118616365433D+07
(age_target - star_age)/age_sigma 444 3.4663638956
remaining steps and years until age target 444 35 2.2531365321466446D+07
(age_target - star_age)/age_sigma 445 3.3673249272
remaining steps and years until age target 445 34 2.1887612026567459D+07
(age_target - star_age)/age_sigma 446 3.2682859587
remaining steps and years until age target 446 33 2.1243858731668472D+07
(age_target - star_age)/age_sigma 447 3.1692469903
remaining steps and years until age target 447 32 2.0600105436769485D+07
(age_target - star_age)/age_sigma 448 3.0702080218
remaining steps and years until age target 448 31 1.9956352141870499D+07
(age_target - star_age)/age_sigma 449 2.9711690534
remaining steps and years until age target 449 30 1.9312598846971512D+07
450 7.192992 5716.219 -0.007630 -0.007630 1.000000 1.000000 0.353884 0.005273 0.242206 -1.521971 510 0
5.8087E+00 7.192992 0.004647 -42.693519 -1.626245 -99.000000 0.000000 0.626321 0.008555 0.017010 0.118655 3
4.5508E+09 2.175190 -0.007577 -99.000000 -99.000000 -6.917620 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt
rel_E_err 1.7231884874890688D-13
log_rel_run_E_err -10.1015605558780823
(age_target - star_age)/age_sigma 450 2.8721300849
remaining steps and years until age target 450 29 1.8668845552072525D+07
save LOGS/profile10.data for model 450
save photos/x450 for model 450
(age_target - star_age)/age_sigma 451 2.7730911165
remaining steps and years until age target 451 28 1.8025092257173538D+07
(age_target - star_age)/age_sigma 452 2.6740521480
remaining steps and years until age target 452 27 1.7381338962274551D+07
(age_target - star_age)/age_sigma 453 2.5750131796
remaining steps and years until age target 453 26 1.6737585667375565D+07
(age_target - star_age)/age_sigma 454 2.4759742112
remaining steps and years until age target 454 25 1.6093832372476578D+07
(age_target - star_age)/age_sigma 455 2.3769352427
remaining steps and years until age target 455 24 1.5450079077577591D+07
(age_target - star_age)/age_sigma 456 2.2778962743
remaining steps and years until age target 456 23 1.4806325782678604D+07
(age_target - star_age)/age_sigma 457 2.1788573058
remaining steps and years until age target 457 22 1.4162572487779617D+07
(age_target - star_age)/age_sigma 458 2.0798183374
remaining steps and years until age target 458 21 1.3518819192880630D+07
(age_target - star_age)/age_sigma 459 1.9807793689
remaining steps and years until age target 459 20 1.2875065897981644D+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 -15.255620 -99.000000 -6.917787 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt
rel_E_err 1.7933379703519051D-13
log_rel_run_E_err -10.0920690832877433
(age_target - star_age)/age_sigma 460 1.8817404005
remaining steps and years until age target 460 19 1.2231312603082657D+07
(age_target - star_age)/age_sigma 461 1.7827014320
remaining steps and years until age target 461 18 1.1587559308183670D+07
(age_target - star_age)/age_sigma 462 1.6836624636
remaining steps and years until age target 462 17 1.0943806013284683D+07
(age_target - star_age)/age_sigma 463 1.5846234951
remaining steps and years until age target 463 16 1.0300052718385696D+07
(age_target - star_age)/age_sigma 464 1.4855845267
remaining steps and years until age target 464 15 9.6562994234867096D+06
(age_target - star_age)/age_sigma 465 1.3865455582
remaining steps and years until age target 465 14 9.0125461285877228D+06
(age_target - star_age)/age_sigma 466 1.2875065898
remaining steps and years until age target 466 13 8.3687928336887360D+06
(age_target - star_age)/age_sigma 467 1.1884676214
remaining steps and years until age target 467 12 7.7250395387897491D+06
(age_target - star_age)/age_sigma 468 1.0894286529
remaining steps and years until age target 468 11 7.0812862438907623D+06
(age_target - star_age)/age_sigma 469 0.9903896845
remaining steps and years until age target 469 10 6.4375329489917755D+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 1.7656291277268828D-13
log_rel_run_E_err -10.0825822234441809
(age_target - star_age)/age_sigma 470 0.8913507160
remaining steps and years until age target 470 9 5.7937796540927887D+06
(age_target - star_age)/age_sigma 471 0.7923117476
remaining steps and years until age target 471 8 5.1500263591938019D+06
(age_target - star_age)/age_sigma 472 0.6932727791
remaining steps and years until age target 472 7 4.5062730642948151D+06
(age_target - star_age)/age_sigma 473 0.5942338107
remaining steps and years until age target 473 6 3.8625197693958282D+06
(age_target - star_age)/age_sigma 474 0.4951948422
reducing max timestep prior to age target 474 3.2187664744958878D+06
(age_target - star_age)/age_sigma 475 0.3961558738
remaining steps and years until age target 475 4 2.5750131795969009D+06
(age_target - star_age)/age_sigma 476 0.2971169053
remaining steps and years until age target 476 3 1.9312598846979141D+06
(age_target - star_age)/age_sigma 477 0.1980779369
remaining steps and years until age target 477 2 1.2875065897989273D+06
(age_target - star_age)/age_sigma 478 0.0990389684
remaining steps and years until age target 478 1 6.4375329489994049D+05
chi^2 combined, chi^2 seismo, chi^2 spectro 479 333376.79 0.00 333376.79
save outputs/best.mod 479
save outputs/best.profile for model 479
save LOGS/profile11.data for model 479
have reached age_target
save LOGS/profile11.data for model 479
solver retries 4
varcontrol dt limit 162
max increase dt limit 2143
lgRho_cntr dt limit 73
model saved to final.mod
save photos/x479 for model 479
chi^2 combined, chi^2 seismo, chi^2 spectro 479 333376.79 0.00 333376.79
have reached age_target
runtime (minutes), retries, steps 2.67 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 1.8102523091664739D-13
log_rel_run_E_err -10.0742422734479415
Teff 5716.5483620722
radius 1.0114129282
radius_obs 1.0000000000
radius_sigma 0.0010000000
radius chi2term 130.2549300961
M_H 0.0003508639
M_H_obs 0.0000000000
M_H_sigma 0.0010000000
M_H chi2term 0.1231054475
log_R 0.0049285006
delta_nu 139.1365856807
nu_max 3023.4851123038
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 333376.7926785146
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 "2b91b1c" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20250328" "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 3.3337679267851455E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721916E+03 1.0114129281998994E+00 3.5086385890206696E-04 4.9285006214149557E-03 1.3913658568072677E+02 3.0234851123038447E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851455E+05 0 0 0 0 0 0 0 1 3.3351283960191312E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383768001E+03 1.0231407131234531E+00 -1.7395981942482778E-03 9.9353665865919549E-03 1.3680762272705550E+02 2.9640776267827341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191312E+05 0 0 0 0 0 0 0 3 3.3365606602482282E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368150E+03 1.0099970103007425E+00 2.9466215561476317E-02 4.3200882263932762E-03 1.3947582155333515E+02 3.0536692076805812E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482282E+05 0 0 0 0 0 0 0 2 3.3468070564325654E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272448E+03 1.0622782375814297E+00 -1.2788199776380623E-02 2.6238284372332898E-02 1.2938435093833220E+02 2.7294282123453299E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325654E+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
retry: max residual jumped -- give up in solver 5
10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1
-5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1
-5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1
-5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
finished doing relax num steps
relax_to_radiative_core
10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0
-2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 10 3.9562810869851778D-01
20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0
7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3
1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 20 1.8246319607504208D-01
30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0
3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3
7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 30 7.8128501791382976D-08
40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0
4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3
7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 40 7.8128501791382976D-08
50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0
4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3
3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 50 7.8128501569338371D-08
60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0
5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3
1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 60 7.8128500903204556D-08
finished relax to begin radiative core 66 2.4692958051424622D-02
finished doing relax_to_radiative_core
set_initial_number_retries 0
set_uniform_initial_composition
initial_h1 7.2004330292732877D-01
initial_h2 0.0000000000000000D+00
initial_he3 2.6100000000000001D-05
initial_he4 2.6097390000000004D-01
metals GS98
relax_initial_mass to new_mass 1.0000000000000000D+00
net name basic.net
do_element_diffusion T
tau_base 4.1164335019999998D-01
atm_option: T_tau
set_cumulative_energy_error 0.0000000000000000D+00
kap_option gs98
kap_CO_option gs98_co
kap_lowT_option lowT_fa05_gs98
OMP_NUM_THREADS 4
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
(age_target - star_age)/age_sigma 1 703.0000000000
begin reducing max timestep prior to age target 1 4.5694999999999905D+09
save LOGS/profile1.data for model 1
(age_target - star_age)/age_sigma 2 703.0000000000
reducing max timestep prior to age target 2 4.5694999999999781D+09
(age_target - star_age)/age_sigma 3 703.0000000000
reducing max timestep prior to age target 3 4.5694999999999647D+09
(age_target - star_age)/age_sigma 4 703.0000000000
reducing max timestep prior to age target 4 4.5694999999999495D+09
(age_target - star_age)/age_sigma 5 703.0000000000
reducing max timestep prior to age target 5 4.5694999999999304D+09
(age_target - star_age)/age_sigma 6 703.0000000000
reducing max timestep prior to age target 6 4.5694999999999084D+09
10 6.616017 4252.685 -4.940030 -4.940030 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023968 457 0
-4.3321E+00 6.616017 0.265362 -99.000000 -6.337779 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072072 10
2.3634E-04 0.147009 0.000072 -20.293948 -99.000000 -6.877439 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.6201150275909680D-13
log_rel_run_E_err -11.5806239460024205
20 6.616025 4297.513 -4.940035 -4.940035 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023968 457 0
-3.5403E+00 6.616025 0.265448 -99.000000 -6.337784 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072072 6
1.6863E-03 0.147021 0.018458 -20.293948 -99.000000 -6.898674 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.6426213837594443D-13
log_rel_run_E_err -11.2786800535441927
30 6.616040 4304.822 -4.940026 -4.940026 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0
-2.7485E+00 6.616040 0.265547 -99.000000 -6.337776 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2
1.0664E-02 0.147043 0.021609 -99.000000 -99.000000 -6.902152 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.6332437316726365D-13
log_rel_run_E_err -11.1014606966010767
40 6.616046 4306.939 -4.940022 -4.940022 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0
-1.9567E+00 6.616046 0.265591 -99.000000 -6.337771 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2
6.6254E-02 0.147053 0.022551 -20.771070 -99.000000 -6.903173 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.8733115127941264D-13
log_rel_run_E_err -10.9758280174835576
50 6.616047 4307.066 -4.940021 -4.940021 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0
-1.1648E+00 6.616047 0.265595 -99.000000 -6.337771 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2
4.1045E-01 0.147054 0.022609 -99.000000 -99.000000 -6.903235 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.7082647613745816D-13
log_rel_run_E_err -10.8777393202959392
save LOGS/profile2.data for model 50
save photos/x050 for model 50
60 6.616047 4307.067 -4.940020 -4.940020 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023967 457 0
-3.7303E-01 6.616047 0.265595 -99.000000 -6.337770 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2
2.5416E+00 0.147054 0.022610 -99.000000 -99.000000 -6.903236 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.6257406352811561D-13
log_rel_run_E_err -10.7984189057573960
70 6.616048 4307.066 -4.940012 -4.940012 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023963 457 0
4.1878E-01 6.616048 0.265594 -99.000000 -6.337762 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 10
1.5737E+01 0.147057 0.022608 -99.000000 -99.000000 -6.903234 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.6051047595248377D-13
log_rel_run_E_err -10.7320585734605167
80 6.616052 4307.061 -4.939964 -4.939964 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023942 457 0
1.2106E+00 6.616052 0.265589 -99.000000 -6.337713 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072070 2
9.7441E+01 0.147072 0.022596 -99.000000 -99.000000 -6.903226 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.8657683475955434D-13
log_rel_run_E_err -10.6727673721433511
90 6.616080 4307.029 -4.939663 -4.939663 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023813 457 0
2.0024E+00 6.616080 0.265557 -99.000000 -6.337412 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072071 2
6.0333E+02 0.147170 0.022520 -20.293948 -99.000000 -6.903173 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.5411172902994069D-13
log_rel_run_E_err -10.6219463279502726
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
100 6.616253 4306.828 -4.937803 -4.937803 1.000000 1.000000 0.720043 0.000958 0.261000 -4.023014 457 0
2.7942E+00 6.616253 0.265363 -99.000000 -6.335552 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072076 2
3.7357E+03 0.147774 0.022050 -20.293948 -99.000000 -6.902847 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.6524181021748570D-13
log_rel_run_E_err -10.5766619758055693
save LOGS/profile3.data for model 100
save photos/x100 for model 100
110 6.617314 4305.593 -4.926359 -4.926359 1.000000 1.000000 0.720043 0.000958 0.261000 -4.018077 457 0
3.5860E+00 6.617314 0.264166 -99.000000 -6.324107 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072105 2
2.3130E+04 0.151498 0.019158 -99.000000 -99.000000 -6.900836 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.6449146938416471D-13
log_rel_run_E_err -10.5367121393272374
120 6.623596 4298.114 -4.858219 -4.858219 1.000000 1.000000 0.720043 0.000958 0.261000 -3.988001 457 0
4.3778E+00 6.623596 0.257020 -99.000000 -6.255962 -99.000000 0.000000 0.261000 0.008891 0.018957 0.072303 3
1.4322E+05 0.173902 0.001845 -99.000000 -99.000000 -6.888756 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.5876444813274457D-13
log_rel_run_E_err -10.4753117901717356
130 6.653979 4257.646 -4.515618 -4.515618 1.000000 1.000000 0.720043 0.000958 0.261000 -3.816564 457 0
5.1697E+00 6.653979 0.220632 -99.000000 -5.913330 -99.000000 0.000000 0.261000 0.008891 0.018957 0.073895 4
8.8676E+05 0.293429 -0.087364 -99.000000 -99.000000 -6.825305 0.000000 0.003267 0.001976 0.018957 0.000E+00 max increase
rel_E_err 2.6958316796694593D-13
log_rel_run_E_err -10.4708473803454876
140 6.738006 4178.200 -3.535991 -3.535991 1.000000 1.000000 0.720041 0.000958 0.260999 -3.157813 466 0
5.8317E+00 6.738006 0.119164 -99.000000 -4.933525 -99.000000 0.000000 0.261003 0.008891 0.018957 0.083361 3
5.0210E+06 0.702558 -0.323021 -99.000000 -99.000000 -6.660089 0.000000 0.003267 0.001976 0.018957 0.000E+00 varcontrol
rel_E_err 1.9378097921580980D-11
log_rel_run_E_err -10.3237469149033085
150 6.852739 4430.900 -2.374260 -2.374260 1.000000 1.000000 0.720029 0.000958 0.260994 -2.284641 473 0
6.0017E+00 6.852739 0.041108 -99.000000 -3.771155 -99.000000 0.000000 0.261014 0.008891 0.018956 0.097093 4
1.4324E+07 1.245425 -0.377123 -18.061800 -99.000000 -6.687128 0.000000 0.003267 0.001976 0.018957 0.000E+00 lgRho_cntr
rel_E_err 2.0796736050304134D-13
log_rel_run_E_err -10.4360620513144315
save LOGS/profile4.data for model 150
save photos/x150 for model 150
160 7.022161 5256.088 -0.988182 -0.988182 1.000000 1.000000 0.719892 0.000963 0.260975 -1.554493 488 0
6.1235E+00 7.022161 0.011786 -53.243427 -2.399961 -99.000000 0.000000 0.261150 0.008892 0.018955 0.100776 5
2.6547E+07 1.802064 -0.139083 -16.857680 -99.000000 -6.826841 0.000000 0.003263 0.001976 0.018959 0.000E+00 lgRho_cntr
rel_E_err 1.7390770503985377D-13
log_rel_run_E_err -10.5709063126974563
(age_target - star_age)/age_sigma 169 694.7990561017
reducing max timestep prior to age target 169 4.5161938646611986D+09
170 7.125461 5499.907 -0.187476 -0.187476 1.000000 1.000000 0.718254 0.002658 0.260792 -1.719774 509 0
6.8221E+00 7.125461 -0.052114 -47.558964 -1.779550 -99.000000 0.000000 0.262541 0.008893 0.018944 0.085141 5
5.9945E+07 1.890365 -0.188112 -15.954590 -99.000000 -6.795056 0.000000 0.001811 0.001977 0.019204 0.000E+00 max increase
rel_E_err 2.0096145386549019D-13
log_rel_run_E_err -10.6110808106173362
(age_target - star_age)/age_sigma 177 677.9484205988
reducing max timestep prior to age target 177 4.4066647338924122D+09
180 7.124439 5517.471 -0.172700 -0.172700 1.000000 1.000000 0.705448 0.004759 0.259569 -1.668467 500 0
7.6139E+00 7.124439 -0.047155 -47.509067 -1.827588 -99.000000 0.000000 0.275021 0.008905 0.018866 0.087528 10
2.6674E+08 1.913060 -0.172656 -15.653560 -99.000000 -6.804009 0.000000 0.000017 0.001979 0.019531 0.000E+00 max increase
rel_E_err 1.9253605449161718D-13
log_rel_run_E_err -10.5810915238732086
(age_target - star_age)/age_sigma 180 661.9635994351
reducing max timestep prior to age target 180 4.3027633963284626D+09
(age_target - star_age)/age_sigma 182 645.2691224747
reducing max timestep prior to age target 182 4.1942492960858507D+09
(age_target - star_age)/age_sigma 183 634.3418284643
reducing max timestep prior to age target 183 4.1232218850179591D+09
(age_target - star_age)/age_sigma 184 622.0228846066
reducing max timestep prior to age target 184 4.0431487499429798D+09
(age_target - star_age)/age_sigma 185 609.9503196261
reducing max timestep prior to age target 185 3.9646770775695000D+09
(age_target - star_age)/age_sigma 186 598.1192059452
reducing max timestep prior to age target 186 3.8877748386434894D+09
(age_target - star_age)/age_sigma 187 586.5247145378
reducing max timestep prior to age target 187 3.8124106444959993D+09
(age_target - star_age)/age_sigma 188 575.1621129587
reducing max timestep prior to age target 188 3.7385537342314587D+09
(age_target - star_age)/age_sigma 189 564.0267634111
reducing max timestep prior to age target 189 3.6661739621722093D+09
190 7.131691 5536.168 -0.152441 -0.152441 1.000000 1.000000 0.655630 0.004798 0.255425 -1.647967 503 0
7.8508E+00 7.131691 -0.039951 -46.892342 -1.817533 -99.000000 0.000000 0.324739 0.008940 0.018598 0.090814 10
9.7426E+08 1.945116 -0.152372 -99.000000 -99.000000 -6.816016 0.000000 0.000014 0.001989 0.019631 0.000E+00 max_dt
rel_E_err 1.7756270155164166D-13
log_rel_run_E_err -10.5530112805173619
(age_target - star_age)/age_sigma 190 553.1141208545
reducing max timestep prior to age target 190 3.5952417855541449D+09
(age_target - star_age)/age_sigma 191 542.4197311490
reducing max timestep prior to age target 191 3.5257282524684415D+09
(age_target - star_age)/age_sigma 192 531.9392292376
reducing max timestep prior to age target 192 3.4576049900444522D+09
(age_target - star_age)/age_sigma 193 521.6683373645
reducing max timestep prior to age target 193 3.3908441928689432D+09
(age_target - star_age)/age_sigma 194 511.6028633288
reducing max timestep prior to age target 194 3.3254186116369438D+09
(age_target - star_age)/age_sigma 195 501.7386987738
reducing max timestep prior to age target 195 3.2613015420295844D+09
(age_target - star_age)/age_sigma 196 492.0718175099
reducing max timestep prior to age target 196 3.1984668138143725D+09
(age_target - star_age)/age_sigma 197 482.5982738713
reducing max timestep prior to age target 197 3.1368887801634645D+09
(age_target - star_age)/age_sigma 198 473.3142011055
reducing max timestep prior to age target 198 3.0765423071855750D+09
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
200 7.138991 5551.935 -0.134989 -0.134989 1.000000 1.000000 0.609947 0.004833 0.251858 -1.630397 505 0
7.7719E+00 7.138991 -0.033694 -46.319756 -1.799121 -99.000000 0.000000 0.370335 0.008965 0.018366 0.094031 10
1.6112E+09 1.975315 -0.134917 -15.255620 -99.000000 -6.827056 0.000000 0.000015 0.001998 0.019717 0.000E+00 max_dt
rel_E_err 1.9511181219734850D-13
log_rel_run_E_err -10.5263463742356027
(age_target - star_age)/age_sigma 200 455.1174184844
reducing max timestep prior to age target 200 2.9582632201489115D+09
save LOGS/profile5.data for model 200
save photos/x200 for model 200
(age_target - star_age)/age_sigma 201 446.2009950001
reducing max timestep prior to age target 201 2.9003064675009460D+09
(age_target - star_age)/age_sigma 202 437.4628999855
reducing max timestep prior to age target 202 2.8435088499059401D+09
(age_target - star_age)/age_sigma 203 428.8995668712
reducing max timestep prior to age target 203 2.7878471846628342D+09
(age_target - star_age)/age_sigma 204 420.5075004192
reducing max timestep prior to age target 204 2.7332987527245908D+09
(age_target - star_age)/age_sigma 205 412.2832752962
reducing max timestep prior to age target 205 2.6798412894251118D+09
(age_target - star_age)/age_sigma 206 404.2235346756
reducing max timestep prior to age target 206 2.6274529753916225D+09
(age_target - star_age)/age_sigma 207 396.3249888675
reducing max timestep prior to age target 207 2.5761124276388035D+09
(age_target - star_age)/age_sigma 208 388.5844139755
reducing max timestep prior to age target 208 2.5257986908410401D+09
(age_target - star_age)/age_sigma 209 380.9986505814
reducing max timestep prior to age target 209 2.4764912287792325D+09
210 7.145460 5564.879 -0.120120 -0.120120 1.000000 1.000000 0.571432 0.004867 0.248794 -1.614610 509 0
7.6841E+00 7.145460 -0.028282 -45.832864 -1.781612 -99.000000 0.000000 0.408780 0.008979 0.018169 0.096995 10
2.1413E+09 2.001915 -0.120047 -99.000000 -99.000000 -6.836677 0.000000 0.000015 0.002005 0.019788 0.000E+00 max_dt
rel_E_err 1.9741218237630072D-13
log_rel_run_E_err -10.5008380137018182
(age_target - star_age)/age_sigma 210 373.5646024552
reducing max timestep prior to age target 210 2.4281699159586611D+09
(age_target - star_age)/age_sigma 211 366.2792352915
reducing max timestep prior to age target 211 2.3808150293945003D+09
(age_target - star_age)/age_sigma 212 359.1395754710
reducing max timestep prior to age target 212 2.3344072405616236D+09
(age_target - star_age)/age_sigma 213 352.1427088470
reducing max timestep prior to age target 213 2.2889276075054040D+09
(age_target - star_age)/age_sigma 214 345.2857795554
reducing max timestep prior to age target 214 2.2443575671103091D+09
(age_target - star_age)/age_sigma 215 338.5659888497
reducing max timestep prior to age target 215 2.2006789275231161D+09
(age_target - star_age)/age_sigma 216 331.9805939581
reducing max timestep prior to age target 216 2.1578738607276669D+09
(age_target - star_age)/age_sigma 217 325.5269069643
reducing max timestep prior to age target 217 2.1159248952681270D+09
(age_target - star_age)/age_sigma 218 319.2022937104
reducing max timestep prior to age target 218 2.0748149091177773D+09
(age_target - star_age)/age_sigma 219 313.0041727216
reducing max timestep prior to age target 219 2.0345271226904349D+09
220 7.151020 5575.074 -0.107679 -0.107679 1.000000 1.000000 0.539600 0.004899 0.246390 -1.600844 507 0
7.5964E+00 7.151020 -0.023651 -45.426736 -1.766105 -99.000000 0.000000 0.440556 0.008985 0.018014 0.099644 10
2.5745E+09 2.024692 -0.107607 -15.653560 -99.000000 -6.844838 0.000000 0.000016 0.002011 0.019843 0.000E+00 max_dt
rel_E_err 1.7787991100897084D-13
log_rel_run_E_err -10.4770272096010135
(age_target - star_age)/age_sigma 220 306.9300141526
reducing max timestep prior to age target 220 1.9950450919916391D+09
(age_target - star_age)/age_sigma 221 300.9773387549
reducing max timestep prior to age target 221 1.9563527019068193D+09
(age_target - star_age)/age_sigma 222 295.1437168652
reducing max timestep prior to age target 222 1.9184341596236963D+09
(age_target - star_age)/age_sigma 223 289.4267674133
reducing max timestep prior to age target 223 1.8812739881862354D+09
(age_target - star_age)/age_sigma 224 283.8241569504
reducing max timestep prior to age target 224 1.8448570201775236D+09
(age_target - star_age)/age_sigma 225 278.3335986968
reducing max timestep prior to age target 225 1.8091683915289865D+09
(age_target - star_age)/age_sigma 226 272.9528516082
reducing max timestep prior to age target 226 1.7741935354534197D+09
(age_target - star_age)/age_sigma 227 267.6797194614
reducing max timestep prior to age target 227 1.7399181764993644D+09
(age_target - star_age)/age_sigma 228 262.5120499576
reducing max timestep prior to age target 228 1.7063283247243900D+09
(age_target - star_age)/age_sigma 229 257.4477338438
reducing max timestep prior to age target 229 1.6734102699849153D+09
230 7.155766 5583.371 -0.097267 -0.097267 1.000000 1.000000 0.513331 0.004930 0.244376 -1.588961 507 0
7.5087E+00 7.155766 -0.019737 -45.088037 -1.752595 -99.000000 0.000000 0.466782 0.008984 0.017884 0.101981 10
2.9283E+09 2.044076 -0.097195 -15.653560 -99.000000 -6.851744 0.000000 0.000016 0.002016 0.019887 0.000E+00 max_dt
rel_E_err 1.8404488638633463D-13
log_rel_run_E_err -10.4542355238725957
(age_target - star_age)/age_sigma 230 252.4847040523
reducing max timestep prior to age target 230 1.6411505763402300D+09
(age_target - star_age)/age_sigma 231 247.6209348567
reducing max timestep prior to age target 231 1.6095360765684385D+09
(age_target - star_age)/age_sigma 232 242.8544410449
reducing max timestep prior to age target 232 1.5785538667920833D+09
(age_target - star_age)/age_sigma 233 238.1832771094
reducing max timestep prior to age target 233 1.5481913012112546D+09
(age_target - star_age)/age_sigma 235 229.0277957958
reducing max timestep prior to age target 235 1.4886806726728311D+09
(age_target - star_age)/age_sigma 236 224.5416099522
reducing max timestep prior to age target 236 1.4595204646890030D+09
(age_target - star_age)/age_sigma 237 220.1451478254
reducing max timestep prior to age target 237 1.4309434608648515D+09
(age_target - star_age)/age_sigma 238 215.8366149411
reducing max timestep prior to age target 238 1.4029379971171837D+09
(age_target - star_age)/age_sigma 239 211.6142527145
reducing max timestep prior to age target 239 1.3754926426444688D+09
240 7.159838 5590.101 -0.088491 -0.088491 1.000000 1.000000 0.491421 0.004958 0.242722 -1.578677 507 0
7.4297E+00 7.159838 -0.016397 -44.802632 -1.740828 -99.000000 0.000000 0.488657 0.008979 0.017778 0.104045 10
3.2209E+09 2.060669 -0.088421 -99.000000 -99.000000 -6.857604 0.000000 0.000017 0.002019 0.019922 0.000E+00 max_dt
rel_E_err 1.7338389878667603D-13
log_rel_run_E_err -10.4328786578498161
(age_target - star_age)/age_sigma 240 207.4763377325
reducing max timestep prior to age target 240 1.3485961952612081D+09
(age_target - star_age)/age_sigma 241 203.4211810501
reducing max timestep prior to age target 241 1.3222376768256130D+09
(age_target - star_age)/age_sigma 242 199.4471275013
reducing max timestep prior to age target 242 1.2964063287587295D+09
(age_target - star_age)/age_sigma 243 195.5525550236
reducing max timestep prior to age target 243 1.2710916076531839D+09
(age_target - star_age)/age_sigma 244 191.7358739953
reducing max timestep prior to age target 244 1.2462831809697490D+09
(age_target - star_age)/age_sigma 245 187.9955265877
reducing max timestep prior to age target 245 1.2219709228199825D+09
(age_target - star_age)/age_sigma 246 184.3299861282
reducing max timestep prior to age target 246 1.1981449098332124D+09
(age_target - star_age)/age_sigma 247 180.7377564779
reducing max timestep prior to age target 247 1.1747954171061769D+09
(age_target - star_age)/age_sigma 248 177.2173714206
reducing max timestep prior to age target 248 1.1519129142336822D+09
(age_target - star_age)/age_sigma 249 173.7673940644
reducing max timestep prior to age target 249 1.1294880614186373D+09
250 7.163296 5595.512 -0.081145 -0.081145 1.000000 1.000000 0.473225 0.004985 0.241392 -1.569886 507 0
7.3420E+00 7.163296 -0.013565 -44.563438 -1.730702 -99.000000 0.000000 0.506825 0.008971 0.017692 0.105845 10
3.4620E+09 2.074729 -0.081077 -99.000000 -99.000000 -6.862532 0.000000 0.000017 0.002023 0.019950 0.000E+00 max_dt
rel_E_err 1.7683478051177409D-13
log_rel_run_E_err -10.4124436486524026
(age_target - star_age)/age_sigma 250 170.3864162554
reducing max timestep prior to age target 250 1.1075117056598930D+09
save LOGS/profile6.data for model 250
save photos/x250 for model 250
(age_target - star_age)/age_sigma 251 167.0730580025
reducing max timestep prior to age target 251 1.0859748770163240D+09
(age_target - star_age)/age_sigma 252 163.8259669147
reducing max timestep prior to age target 252 1.0648687849456267D+09
(age_target - star_age)/age_sigma 253 160.6438176487
reducing max timestep prior to age target 253 1.0441848147163429D+09
(age_target - star_age)/age_sigma 254 157.5253113679
reducing max timestep prior to age target 254 1.0239145238916450D+09
(age_target - star_age)/age_sigma 255 154.4691752128
reducing max timestep prior to age target 255 1.0040496388834410D+09
(age_target - star_age)/age_sigma 256 151.4741617808
reducing max timestep prior to age target 256 9.8458205157540083D+08
(age_target - star_age)/age_sigma 257 148.5390486175
reducing max timestep prior to age target 257 9.6550381601352215D+08
(age_target - star_age)/age_sigma 258 145.6626377174
reducing max timestep prior to age target 258 9.4680714516288042D+08
(age_target - star_age)/age_sigma 259 142.8437550353
reducing max timestep prior to age target 259 9.2848440772925138D+08
260 7.166193 5599.834 -0.075065 -0.075065 1.000000 1.000000 0.458258 0.005009 0.240324 -1.562482 508 0
7.2542E+00 7.166193 -0.011196 -44.365190 -1.722124 -99.000000 0.000000 0.521770 0.008961 0.017622 0.107387 10
3.6590E+09 2.086488 -0.074998 -99.000000 -99.000000 -6.866624 0.000000 0.000017 0.002025 0.019972 0.000E+00 max_dt
rel_E_err 1.7751549040761970D-13
log_rel_run_E_err -10.3929839929182091
(age_target - star_age)/age_sigma 260 140.0812500068
reducing max timestep prior to age target 260 9.1052812504429531D+08
(age_target - star_age)/age_sigma 261 137.3739950789
reducing max timestep prior to age target 261 8.9293096801303816D+08
(age_target - star_age)/age_sigma 262 134.7208852496
reducing max timestep prior to age target 262 8.7568575412240648D+08
(age_target - star_age)/age_sigma 263 132.1208376169
reducing max timestep prior to age target 263 8.5878544450958681D+08
(age_target - star_age)/age_sigma 264 129.5727909368
reducing max timestep prior to age target 264 8.4222314108902407D+08
(age_target - star_age)/age_sigma 265 127.0757051903
reducing max timestep prior to age target 265 8.2599208373687267D+08
(age_target - star_age)/age_sigma 266 124.6285611587
reducing max timestep prior to age target 266 8.1008564753176403D+08
(age_target - star_age)/age_sigma 267 122.2303600078
reducing max timestep prior to age target 267 7.9449734005075788D+08
(age_target - star_age)/age_sigma 269 117.5298857520
reducing max timestep prior to age target 269 7.6394425738798475D+08
270 7.168620 5603.331 -0.070021 -0.070021 1.000000 1.000000 0.445912 0.005031 0.239445 -1.556249 508 0
7.1753E+00 7.168620 -0.009217 -44.200598 -1.714871 -99.000000 0.000000 0.534099 0.008950 0.017566 0.108704 10
3.8205E+09 2.096326 -0.069955 -15.176439 -99.000000 -6.870018 0.000000 0.000017 0.002027 0.019990 0.000E+00 max_dt
rel_E_err 1.8426274131838244D-13
log_rel_run_E_err -10.3744010501327786
(age_target - star_age)/age_sigma 270 115.2266533667
reducing max timestep prior to age target 270 7.4897324688322592D+08
(age_target - star_age)/age_sigma 271 112.9694856290
reducing max timestep prior to age target 271 7.3430165658856297D+08
(age_target - star_age)/age_sigma 272 110.7574612461
reducing max timestep prior to age target 272 7.1992349809979248D+08
(age_target - star_age)/age_sigma 273 108.5896773509
reducing max timestep prior to age target 273 7.0583290278079796D+08
(age_target - star_age)/age_sigma 274 106.4652491336
reducing max timestep prior to age target 274 6.9202411936818314D+08
(age_target - star_age)/age_sigma 275 104.3833094806
reducing max timestep prior to age target 275 6.7849151162382078D+08
(age_target - star_age)/age_sigma 276 102.3430086207
reducing max timestep prior to age target 276 6.6522955603434515D+08
(age_target - star_age)/age_sigma 277 100.3435137779
reducing max timestep prior to age target 277 6.5223283955665922D+08
(age_target - star_age)/age_sigma 278 98.3840088321
reducing max timestep prior to age target 278 6.3949605740852737D+08
(age_target - star_age)/age_sigma 279 96.4636939851
reducing max timestep prior to age target 279 6.2701401090335798D+08
280 7.170689 5606.193 -0.065789 -0.065789 1.000000 1.000000 0.435604 0.005051 0.238678 -1.550936 507 0
7.0875E+00 7.170689 -0.007545 -44.062439 -1.708689 -99.000000 0.000000 0.544393 0.008939 0.017516 0.109835 7
3.9547E+09 2.104673 -0.065724 -99.000000 -99.000000 -6.872889 0.000000 0.000018 0.002029 0.020004 0.000E+00 max_dt
rel_E_err 1.7487376726402069D-13
log_rel_run_E_err -10.3569224000962432
(age_target - star_age)/age_sigma 280 94.5817854351
reducing max timestep prior to age target 280 6.1478160532829142D+08
(age_target - star_age)/age_sigma 281 92.7375150561
reducing max timestep prior to age target 281 6.0279384786472702D+08
(age_target - star_age)/age_sigma 282 90.9301300847
reducing max timestep prior to age target 282 5.9104584555043316D+08
(age_target - star_age)/age_sigma 283 89.1588928127
reducing max timestep prior to age target 283 5.7953280328242540D+08
(age_target - star_age)/age_sigma 284 87.4230802861
reducing max timestep prior to age target 284 5.6825002185977793D+08
(age_target - star_age)/age_sigma 285 85.7219840101
reducing max timestep prior to age target 285 5.5719289606558371D+08
(age_target - star_age)/age_sigma 286 84.0549096596
reducing max timestep prior to age target 286 5.4635691278727293D+08
(age_target - star_age)/age_sigma 287 82.4211767961
reducing max timestep prior to age target 287 5.3573764917452908D+08
(age_target - star_age)/age_sigma 288 80.8201185899
reducing max timestep prior to age target 288 5.2533077083403969D+08
(age_target - star_age)/age_sigma 289 79.2510815477
reducing max timestep prior to age target 289 5.1513203006035995D+08
290 7.172520 5608.532 -0.062300 -0.062300 1.000000 1.000000 0.427132 0.005068 0.238062 -1.546398 506 0
6.9998E+00 7.172520 -0.006163 -43.947708 -1.703541 -99.000000 0.000000 0.552853 0.008928 0.017476 0.110777 5
4.0644E+09 2.111816 -0.062235 -15.352530 -99.000000 -6.875260 0.000000 0.000018 0.002030 0.020015 0.000E+00 max_dt
rel_E_err 1.8316717889464625D-13
log_rel_run_E_err -10.3397924618265744
(age_target - star_age)/age_sigma 290 77.7134252465
reducing max timestep prior to age target 290 5.0513726410215378D+08
(age_target - star_age)/age_sigma 291 76.2065220712
reducing max timestep prior to age target 291 4.9534239346311188D+08
(age_target - star_age)/age_sigma 292 74.7297569595
reducing max timestep prior to age target 292 4.8574342023685074D+08
(age_target - star_age)/age_sigma 293 73.2825271500
reducing max timestep prior to age target 293 4.7633642647511482D+08
(age_target - star_age)/age_sigma 294 71.8642419367
reducing max timestep prior to age target 294 4.6711757258861351D+08
(age_target - star_age)/age_sigma 295 70.4743224277
reducing max timestep prior to age target 295 4.5808309577984238D+08
(age_target - star_age)/age_sigma 296 69.1122013088
reducing max timestep prior to age target 296 4.4922930850724649D+08
(age_target - star_age)/age_sigma 297 67.7773226123
reducing max timestep prior to age target 297 4.4055259698010302D+08
(age_target - star_age)/age_sigma 298 66.4691414898
reducing max timestep prior to age target 298 4.3204941968350172D+08
(age_target - star_age)/age_sigma 299 65.1871239897
reducing max timestep prior to age target 299 4.2371630593283272D+08
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
300 7.173928 5610.388 -0.059437 -0.059437 1.000000 1.000000 0.420181 0.005083 0.237565 -1.542728 506 0
6.9120E+00 7.173928 -0.005020 -43.853853 -1.699250 -99.000000 0.000000 0.559795 0.008919 0.017444 0.111576 5
4.1540E+09 2.117524 -0.059374 -15.653560 -99.000000 -6.877201 0.000000 0.000018 0.002031 0.020024 0.000E+00 max_dt
rel_E_err 1.7942585177664307D-13
log_rel_run_E_err -10.3229791658910663
(age_target - star_age)/age_sigma 300 63.9307468396
reducing max timestep prior to age target 300 4.1554985445717764D+08
save LOGS/profile7.data for model 300
save photos/x300 for model 300
(age_target - star_age)/age_sigma 301 62.6994972325
reducing max timestep prior to age target 301 4.0754673201103497D+08
(age_target - star_age)/age_sigma 302 61.4928726175
reducing max timestep prior to age target 302 3.9970367201381540D+08
(age_target - star_age)/age_sigma 304 59.1278883722
reducing max timestep prior to age target 304 3.8433127441926479D+08
(age_target - star_age)/age_sigma 305 57.9690460920
reducing max timestep prior to age target 305 3.7679879959793472D+08
(age_target - star_age)/age_sigma 306 56.8333806574
reducing max timestep prior to age target 306 3.6941697427303171D+08
(age_target - star_age)/age_sigma 307 55.7204285315
reducing max timestep prior to age target 307 3.6218278545462656D+08
(age_target - star_age)/age_sigma 308 54.6297354481
reducing max timestep prior to age target 308 3.5509328041258955D+08
(age_target - star_age)/age_sigma 309 53.5608562264
reducing max timestep prior to age target 309 3.4814556547139359D+08
310 7.175109 5611.950 -0.057044 -0.057044 1.000000 1.000000 0.414406 0.005097 0.237157 -1.539658 509 0
6.8331E+00 7.175109 -0.004065 -43.775519 -1.695632 -99.000000 0.000000 0.565563 0.008910 0.017418 0.112251 5
4.2282E+09 2.122299 -0.056981 -15.352530 -99.000000 -6.878829 0.000000 0.000018 0.002032 0.020031 0.000E+00 max_dt
rel_E_err 1.8064731550735293D-13
log_rel_run_E_err -10.3067502481598652
(age_target - star_age)/age_sigma 310 52.5133545891
reducing max timestep prior to age target 310 3.4133680482902145D+08
(age_target - star_age)/age_sigma 311 51.4868029845
reducing max timestep prior to age target 311 3.3466421939949656D+08
(age_target - star_age)/age_sigma 312 50.4807824121
reducing max timestep prior to age target 312 3.2812508567856216D+08
(age_target - star_age)/age_sigma 313 49.4948822511
reducing max timestep prior to age target 313 3.2171673463204670D+08
(age_target - star_age)/age_sigma 314 48.5287000933
reducing max timestep prior to age target 314 3.1543655060646152D+08
(age_target - star_age)/age_sigma 315 47.5818415787
reducing max timestep prior to age target 315 3.0928197026138783D+08
(age_target - star_age)/age_sigma 316 46.6539202343
reducing max timestep prior to age target 316 3.0325048152321529D+08
(age_target - star_age)/age_sigma 317 45.7445573169
reducing max timestep prior to age target 317 2.9733962255980682D+08
(age_target - star_age)/age_sigma 318 44.8533816578
reducing max timestep prior to age target 318 2.9154698077566624D+08
(age_target - star_age)/age_sigma 319 43.9800295119
reducing max timestep prior to age target 319 2.8587019182720804D+08
320 7.176086 5613.187 -0.055076 -0.055076 1.000000 1.000000 0.409644 0.005108 0.236825 -1.537099 509 0
6.7453E+00 7.176086 -0.003273 -43.710824 -1.692631 -99.000000 0.000000 0.570319 0.008902 0.017396 0.112816 5
4.2892E+09 2.126260 -0.055014 -15.653560 -99.000000 -6.880166 0.000000 0.000018 0.002033 0.020037 0.000E+00 max_dt
rel_E_err 1.9306098774948909D-13
log_rel_run_E_err -10.2910030310262570
(age_target - star_age)/age_sigma 320 43.1241444089
reducing max timestep prior to age target 320 2.8030693865771961D+08
(age_target - star_age)/age_sigma 321 42.2853770079
reducing max timestep prior to age target 321 2.7485495055162048D+08
(age_target - star_age)/age_sigma 322 41.4633849550
reducing max timestep prior to age target 322 2.6951200220764351D+08
(age_target - star_age)/age_sigma 323 40.6578327432
reducing max timestep prior to age target 323 2.6427591283054638D+08
(age_target - star_age)/age_sigma 324 39.8683915755
reducing max timestep prior to age target 324 2.5914454524099159D+08
(age_target - star_age)/age_sigma 325 39.0947392313
reducing max timestep prior to age target 325 2.5411580500322723D+08
(age_target - star_age)/age_sigma 326 38.3365599339
reducing max timestep prior to age target 326 2.4918763957021809D+08
(age_target - star_age)/age_sigma 327 37.5935442224
reducing max timestep prior to age target 327 2.4435803744586945D+08
(age_target - star_age)/age_sigma 328 36.8653888252
reducing max timestep prior to age target 328 2.3962502736400795D+08
(age_target - star_age)/age_sigma 329 36.1517965360
reducing max timestep prior to age target 329 2.3498667748378372D+08
330 7.176891 5614.191 -0.053463 -0.053463 1.000000 1.000000 0.405746 0.005117 0.236547 -1.534989 509 0
6.6576E+00 7.176891 -0.002622 -43.657731 -1.690153 -99.000000 0.000000 0.574213 0.008895 0.017378 0.113284 5
4.3391E+09 2.129518 -0.053401 -15.477469 -99.000000 -6.881261 0.000000 0.000018 0.002034 0.020042 0.000E+00 max_dt
rel_E_err 1.8720923253526073D-13
log_rel_run_E_err -10.2760413759245175
(age_target - star_age)/age_sigma 330 35.4524760925
reducing max timestep prior to age target 330 2.3044109460116291D+08
(age_target - star_age)/age_sigma 331 34.7671420579
reducing max timestep prior to age target 331 2.2598642337619495D+08
(age_target - star_age)/age_sigma 332 34.0955147040
reducing max timestep prior to age target 332 2.2162084557572651D+08
(age_target - star_age)/age_sigma 333 33.4373198971
reducing max timestep prior to age target 333 2.1734257933126736D+08
(age_target - star_age)/age_sigma 334 32.7922889864
reducing max timestep prior to age target 334 2.1314987841169834D+08
(age_target - star_age)/age_sigma 335 32.1601586939
reducing max timestep prior to age target 335 2.0904103151051998D+08
(age_target - star_age)/age_sigma 336 31.5406710073
reducing max timestep prior to age target 336 2.0501436154736519D+08
(age_target - star_age)/age_sigma 337 30.9335730744
reducing max timestep prior to age target 337 2.0106822498347378D+08
(age_target - star_age)/age_sigma 338 30.3386171001
reducing max timestep prior to age target 338 1.9720101115085983D+08
340 7.177553 5615.010 -0.052136 -0.052136 1.000000 1.000000 0.402549 0.005125 0.236314 -1.533251 510 0
6.5786E+00 7.177553 -0.002085 -43.614086 -1.688106 -99.000000 0.000000 0.577406 0.008890 0.017363 0.113672 5
4.3799E+09 2.132201 -0.052074 -15.255620 -99.000000 -6.882164 0.000000 0.000018 0.002034 0.020046 0.000E+00 max_dt
rel_E_err 1.8416217453905268D-13
log_rel_run_E_err -10.2615775550161157
(age_target - star_age)/age_sigma 340 29.1725033906
reducing max timestep prior to age target 340 1.8962127203893661D+08
(age_target - star_age)/age_sigma 341 28.6011076729
reducing max timestep prior to age target 341 1.8590719987409401D+08
(age_target - star_age)/age_sigma 342 28.0411398696
reducing max timestep prior to age target 342 1.8226740915254879D+08
(age_target - star_age)/age_sigma 343 27.4923714224
reducing max timestep prior to age target 343 1.7870041424543381D+08
(age_target - star_age)/age_sigma 344 26.9545783441
reducing max timestep prior to age target 344 1.7520475923646164D+08
(age_target - star_age)/age_sigma 345 26.4275411273
reducing max timestep prior to age target 345 1.7177901732766819D+08
(age_target - star_age)/age_sigma 346 25.9110446549
reducing max timestep prior to age target 346 1.6842179025705147D+08
(age_target - star_age)/age_sigma 347 25.4048781120
reducing max timestep prior to age target 347 1.6513170772784710D+08
(age_target - star_age)/age_sigma 348 24.9088348999
reducing max timestep prior to age target 348 1.6190742684922695D+08
(age_target - star_age)/age_sigma 349 24.4227125520
reducing max timestep prior to age target 349 1.5874763158817863D+08
350 7.178107 5615.685 -0.051031 -0.051031 1.000000 1.000000 0.399884 0.005132 0.236121 -1.531796 510 0
6.4909E+00 7.178107 -0.001637 -43.577661 -1.686393 -99.000000 0.000000 0.580067 0.008885 0.017351 0.113997 5
4.4138E+09 2.134444 -0.050970 -99.000000 -99.000000 -6.882916 0.000000 0.000019 0.002035 0.020049 0.000E+00 max_dt
rel_E_err 1.8284175200956084D-13
log_rel_run_E_err -10.2472186301896997
(age_target - star_age)/age_sigma 350 23.9463126511
reducing max timestep prior to age target 350 1.5565103223235130D+08
save LOGS/profile8.data for model 350
save photos/x350 for model 350
(age_target - star_age)/age_sigma 351 23.4794407483
reducing max timestep prior to age target 351 1.5261636486364079D+08
(age_target - star_age)/age_sigma 352 23.0219062834
reducing max timestep prior to age target 352 1.4964239084230423D+08
(age_target - star_age)/age_sigma 353 22.5735225079
reducing max timestep prior to age target 353 1.4672789630139446D+08
(age_target - star_age)/age_sigma 354 22.1341064079
reducing max timestep prior to age target 354 1.4387169165130329D+08
(age_target - star_age)/age_sigma 355 21.7034786299
reducing max timestep prior to age target 355 1.4107261109421349D+08
(age_target - star_age)/age_sigma 356 21.2814634074
reducing max timestep prior to age target 356 1.3832951214826584D+08
(age_target - star_age)/age_sigma 357 20.8678884894
reducing max timestep prior to age target 357 1.3564127518123627D+08
(age_target - star_age)/age_sigma 358 20.4625850698
reducing max timestep prior to age target 358 1.3300680295354843D+08
(age_target - star_age)/age_sigma 359 20.0653877185
reducing max timestep prior to age target 359 1.3042502017041302D+08
360 7.178562 5616.233 -0.050126 -0.050126 1.000000 1.000000 0.397704 0.005138 0.235965 -1.530602 510 0
6.4031E+00 7.178562 -0.001270 -43.547820 -1.684985 -99.000000 0.000000 0.582245 0.008880 0.017340 0.114266 5
4.4416E+09 2.136283 -0.050066 -15.954590 -99.000000 -6.883531 0.000000 0.000019 0.002035 0.020051 0.000E+00 max_dt
rel_E_err 1.8217197373733921D-13
log_rel_run_E_err -10.2337431376567825
(age_target - star_age)/age_sigma 360 19.6761343143
reducing max timestep prior to age target 360 1.2789487304294205D+08
(age_target - star_age)/age_sigma 361 19.2946659782
reducing max timestep prior to age target 361 1.2541532885801888D+08
(age_target - star_age)/age_sigma 362 18.9208270087
reducing max timestep prior to age target 362 1.2298537555679512D+08
(age_target - star_age)/age_sigma 363 18.5544648187
reducing max timestep prior to age target 363 1.2060402132159519D+08
(age_target - star_age)/age_sigma 364 18.1954298725
reducing max timestep prior to age target 364 1.1827029417109966D+08
(age_target - star_age)/age_sigma 365 17.8435756252
reducing max timestep prior to age target 365 1.1598324156361485D+08
(age_target - star_age)/age_sigma 366 17.4987584628
reducing max timestep prior to age target 366 1.1374193000827885D+08
(age_target - star_age)/age_sigma 367 17.1608376437
reducing max timestep prior to age target 367 1.1154544468404961D+08
(age_target - star_age)/age_sigma 368 16.8296752410
reducing max timestep prior to age target 368 1.0939288906630421D+08
(age_target - star_age)/age_sigma 369 16.5051360863
reducing max timestep prior to age target 369 1.0728338456091499D+08
370 7.178935 5616.680 -0.049386 -0.049386 1.000000 1.000000 0.395922 0.005143 0.235838 -1.529624 510 0
6.3154E+00 7.178935 -0.000969 -43.523384 -1.683829 -99.000000 0.000000 0.584025 0.008877 0.017332 0.114486 5
4.4643E+09 2.137790 -0.049326 -99.000000 -99.000000 -6.884034 0.000000 0.000019 0.002035 0.020053 0.000E+00 max_dt
rel_E_err 1.7785540774300318D-13
log_rel_run_E_err -10.2203448126577108
(age_target - star_age)/age_sigma 370 16.1870877147
reducing max timestep prior to age target 370 1.0521607014563370D+08
(age_target - star_age)/age_sigma 371 15.8754003106
reducing max timestep prior to age target 371 1.0319010201865673D+08
(age_target - star_age)/age_sigma 372 15.5699466545
reducing max timestep prior to age target 372 1.0120465325422001D+08
(age_target - star_age)/age_sigma 374 14.9712574886
reducing max timestep prior to age target 374 9.7313173675924301D+07
(age_target - star_age)/age_sigma 375 14.6778997973
reducing max timestep prior to age target 375 9.5406348682559013D+07
(age_target - star_age)/age_sigma 376 14.3904092599
reducing max timestep prior to age target 376 9.3537660189061165D+07
(age_target - star_age)/age_sigma 377 14.1086685331
reducing max timestep prior to age target 377 9.1706345465434074D+07
(age_target - star_age)/age_sigma 378 13.8325626210
reducing max timestep prior to age target 378 8.9911657036278725D+07
(age_target - star_age)/age_sigma 379 13.5619788270
reducing max timestep prior to age target 379 8.8152862375706673D+07
380 7.179244 5617.049 -0.048772 -0.048772 1.000000 1.000000 0.394444 0.005147 0.235733 -1.528812 510 0
6.2364E+00 7.179244 -0.000719 -43.503105 -1.682869 -99.000000 0.000000 0.585502 0.008874 0.017325 0.114669 5
4.4831E+09 2.139042 -0.048712 -15.653560 -99.000000 -6.884452 0.000000 0.000019 0.002036 0.020055 0.000E+00 max_dt
rel_E_err 1.8578573642899497D-13
log_rel_run_E_err -10.2074140693011088
(age_target - star_age)/age_sigma 380 13.2968067090
reducing max timestep prior to age target 380 8.6429243608345985D+07
(age_target - star_age)/age_sigma 381 13.0369380333
reducing max timestep prior to age target 381 8.4740097216332436D+07
(age_target - star_age)/age_sigma 382 12.7822667311
reducing max timestep prior to age target 382 8.3084733752159119D+07
(age_target - star_age)/age_sigma 383 12.5326888550
reducing max timestep prior to age target 383 8.1462477557269096D+07
(age_target - star_age)/age_sigma 384 12.2881025364
reducing max timestep prior to age target 384 7.9872666486277580D+07
(age_target - star_age)/age_sigma 385 12.0484079441
reducing max timestep prior to age target 385 7.8314651636705399D+07
(age_target - star_age)/age_sigma 386 11.8135072437
reducing max timestep prior to age target 386 7.6787797084123611D+07
(age_target - star_age)/age_sigma 387 11.5833045573
reducing max timestep prior to age target 387 7.5291479622594833D+07
(age_target - star_age)/age_sigma 388 11.3577059247
reducing max timestep prior to age target 388 7.3825088510296822D+07
(age_target - star_age)/age_sigma 389 11.1366192647
reducing max timestep prior to age target 389 7.2388025220243454D+07
390 7.179499 5617.352 -0.048267 -0.048267 1.000000 1.000000 0.393227 0.005150 0.235647 -1.528142 510 0
6.1487E+00 7.179499 -0.000514 -43.486404 -1.682076 -99.000000 0.000000 0.586717 0.008871 0.017320 0.114821 5
4.4985E+09 2.140073 -0.048207 -99.000000 -99.000000 -6.884795 0.000000 0.000019 0.002036 0.020056 0.000E+00 max_dt
rel_E_err 1.8834870202939689D-13
log_rel_run_E_err -10.1946945371896422
(age_target - star_age)/age_sigma 390 10.9199543378
reducing max timestep prior to age target 390 7.0979703195992470D+07
(age_target - star_age)/age_sigma 391 10.7076227096
reducing max timestep prior to age target 391 6.9599547612226486D+07
(age_target - star_age)/age_sigma 392 10.4995377139
reducing max timestep prior to age target 392 6.8246995140134811D+07
(age_target - star_age)/age_sigma 393 10.2956144181
reducing max timestep prior to age target 393 6.6921493717485428D+07
(age_target - star_age)/age_sigma 394 10.0957695882
reducing max timestep prior to age target 394 6.5622502323289871D+07
(age_target - star_age)/age_sigma 395 9.8999216549
reducing max timestep prior to age target 395 6.4349490756977081D+07
(age_target - star_age)/age_sigma 396 9.7079906803
reducing max timestep prior to age target 396 6.3101939421991348D+07
(age_target - star_age)/age_sigma 397 9.5198983252
reducing max timestep prior to age target 397 6.1879339113704681D+07
(age_target - star_age)/age_sigma 398 9.3355678172
reducing max timestep prior to age target 398 6.0681190811583519D+07
(age_target - star_age)/age_sigma 399 9.1549239193
reducing max timestep prior to age target 399 5.9507005475505829D+07
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
400 7.179708 5617.598 -0.047854 -0.047854 1.000000 1.000000 0.392233 0.005153 0.235577 -1.527594 510 0
6.0610E+00 7.179708 -0.000345 -43.472742 -1.681426 -99.000000 0.000000 0.587710 0.008869 0.017315 0.114945 5
4.5111E+09 2.140916 -0.047794 -15.653560 -99.000000 -6.885076 0.000000 0.000019 0.002036 0.020057 0.000E+00 max_dt
rel_E_err 1.7545186664564224D-13
log_rel_run_E_err -10.1828993447443210
(age_target - star_age)/age_sigma 400 8.9778928994
reducing max timestep prior to age target 400 5.8356303846148491D+07
save LOGS/profile9.data for model 400
save photos/x400 for model 400
(age_target - star_age)/age_sigma 401 8.8044024999
reducing max timestep prior to age target 401 5.7228616249379158D+07
(age_target - star_age)/age_sigma 402 8.6343819084
reducing max timestep prior to age target 402 5.6123482404544830D+07
(age_target - star_age)/age_sigma 403 8.4677617287
reducing max timestep prior to age target 403 5.5040451236607552D+07
(age_target - star_age)/age_sigma 404 8.3044739526
reducing max timestep prior to age target 404 5.3979080692028046D+07
(age_target - star_age)/age_sigma 405 8.1444519321
reducing max timestep prior to age target 405 5.2938937558341026D+07
(age_target - star_age)/age_sigma 406 7.9876303519
reducing max timestep prior to age target 406 5.1919597287327766D+07
(age_target - star_age)/age_sigma 407 7.8339452033
reducing max timestep prior to age target 407 5.0920643821734428D+07
(age_target - star_age)/age_sigma 409 7.5327223122
reducing max timestep prior to age target 409 4.8962695029171944D+07
410 7.179880 5617.800 -0.047515 -0.047515 1.000000 1.000000 0.391417 0.005155 0.235519 -1.527144 510 0
5.9820E+00 7.179880 -0.000207 -43.461526 -1.680893 -99.000000 0.000000 0.588525 0.008867 0.017311 0.115048 3
4.5215E+09 2.141609 -0.047455 -99.000000 -99.000000 -6.885307 0.000000 0.000019 0.002036 0.020058 0.000E+00 max_dt
rel_E_err 1.8274407219217418D-13
log_rel_run_E_err -10.1709353735027630
(age_target - star_age)/age_sigma 410 7.3851230955
reducing max timestep prior to age target 410 4.8003300120817184D+07
(age_target - star_age)/age_sigma 411 7.2404758632
reducing max timestep prior to age target 411 4.7063093110628128D+07
(age_target - star_age)/age_sigma 412 7.0987215755
reducing max timestep prior to age target 412 4.6141690240643501D+07
(age_target - star_age)/age_sigma 413 6.9598023735
reducing max timestep prior to age target 413 4.5238715428058624D+07
(age_target - star_age)/age_sigma 414 6.8236615557
reducing max timestep prior to age target 414 4.4353800111725807D+07
(age_target - star_age)/age_sigma 415 6.6902435541
reducing max timestep prior to age target 415 4.3486583101718903D+07
(age_target - star_age)/age_sigma 416 6.5594939126
reducing max timestep prior to age target 416 4.2636710431912422D+07
(age_target - star_age)/age_sigma 417 6.4313592639
reducing max timestep prior to age target 417 4.1803835215501785D+07
(age_target - star_age)/age_sigma 418 6.3057873082
reducing max timestep prior to age target 418 4.0987617503419876D+07
(age_target - star_age)/age_sigma 419 6.1827267916
reducing max timestep prior to age target 419 4.0187724145579338D+07
420 7.180023 5617.968 -0.047233 -0.047233 1.000000 1.000000 0.390739 0.005157 0.235472 -1.526770 510 0
5.8943E+00 7.180023 -0.000092 -43.452204 -1.680449 -99.000000 0.000000 0.589202 0.008866 0.017308 0.115133 3
4.5301E+09 2.142186 -0.047173 -99.000000 -99.000000 -6.885498 0.000000 0.000019 0.002036 0.020059 0.000E+00 max_dt
rel_E_err 1.8552782760224912D-13
log_rel_run_E_err -10.1594537826262830
(age_target - star_age)/age_sigma 420 6.0621274854
reducing max timestep prior to age target 420 3.9403828654895782D+07
(age_target - star_age)/age_sigma 421 5.9439401652
reducing max timestep prior to age target 421 3.8635611074025154D+07
(age_target - star_age)/age_sigma 422 5.8281165915
reducing max timestep prior to age target 422 3.7882757844772339D+07
(age_target - star_age)/age_sigma 423 5.7146094892
reducing max timestep prior to age target 423 3.7144961680105209D+07
(age_target - star_age)/age_sigma 424 5.6033725290
reducing max timestep prior to age target 424 3.6421921438730240D+07
(age_target - star_age)/age_sigma 425 5.4943603080
reducing max timestep prior to age target 425 3.5713342002183914D+07
(age_target - star_age)/age_sigma 426 5.3875283314
reducing max timestep prior to age target 426 3.5018934154367447D+07
(age_target - star_age)/age_sigma 427 5.2828329944
reducing max timestep prior to age target 427 3.4338414463507652D+07
(age_target - star_age)/age_sigma 428 5.1802315641
reducing max timestep prior to age target 428 3.3671505166465759D+07
(age_target - star_age)/age_sigma 429 5.0796821624
reducing max timestep prior to age target 429 3.3017934055363655D+07
430 7.180139 5618.105 -0.047002 -0.047002 1.000000 1.000000 0.390184 0.005158 0.235433 -1.526463 510 0
5.8112E+00 7.180139 0.000002 -43.444575 -1.680085 -99.000000 0.000000 0.589756 0.008865 0.017306 0.115202 3
4.5371E+09 2.142658 -0.046942 -99.000000 -99.000000 -6.885655 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt
rel_E_err 1.7671771894615361D-13
log_rel_run_E_err -10.1482983047539292
(age_target - star_age)/age_sigma 430 4.9800805513
reducing max timestep prior to age target 430 3.2370523583689690D+07
(age_target - star_age)/age_sigma 431 4.8804789403
reducing max timestep prior to age target 431 3.1723113112015724D+07
(age_target - star_age)/age_sigma 432 4.7808773293
reducing max timestep prior to age target 432 3.1075702640341759D+07
(age_target - star_age)/age_sigma 433 4.6812757183
remaining steps and years until age target 433 47 3.0428292168668747D+07
(age_target - star_age)/age_sigma 434 4.5816741072
reducing max timestep prior to age target 434 2.9780881696994781D+07
(age_target - star_age)/age_sigma 435 4.4820724962
reducing max timestep prior to age target 435 2.9133471225320816D+07
(age_target - star_age)/age_sigma 436 4.3824708852
reducing max timestep prior to age target 436 2.8486060753646851D+07
(age_target - star_age)/age_sigma 437 4.2828692741
reducing max timestep prior to age target 437 2.7838650281972885D+07
(age_target - star_age)/age_sigma 438 4.1832676631
reducing max timestep prior to age target 438 2.7191239810298920D+07
(age_target - star_age)/age_sigma 439 4.0836660521
reducing max timestep prior to age target 439 2.6543829338624954D+07
440 7.180247 5618.231 -0.046790 -0.046790 1.000000 1.000000 0.389674 0.005160 0.235397 -1.526180 510 0
5.8112E+00 7.180247 0.000089 -43.437548 -1.679750 -99.000000 0.000000 0.590266 0.008864 0.017303 0.115267 3
4.5436E+09 2.143092 -0.046730 -99.000000 -99.000000 -6.885799 0.000000 0.000019 0.002036 0.020060 0.000E+00 max_dt
rel_E_err 1.8100642213669710D-13
log_rel_run_E_err -10.1373923229794300
(age_target - star_age)/age_sigma 440 3.9840644411
reducing max timestep prior to age target 440 2.5896418866950989D+07
(age_target - star_age)/age_sigma 441 3.8844628300
reducing max timestep prior to age target 441 2.5249008395277023D+07
(age_target - star_age)/age_sigma 442 3.7848612190
reducing max timestep prior to age target 442 2.4601597923603058D+07
(age_target - star_age)/age_sigma 443 3.6852596080
reducing max timestep prior to age target 443 2.3954187451929092D+07
(age_target - star_age)/age_sigma 444 3.5856579970
reducing max timestep prior to age target 444 2.3306776980255127D+07
(age_target - star_age)/age_sigma 445 3.4860563859
remaining steps and years until age target 445 35 2.2659366508582115D+07
(age_target - star_age)/age_sigma 446 3.3864547749
reducing max timestep prior to age target 446 2.2011956036908150D+07
(age_target - star_age)/age_sigma 447 3.2868531639
reducing max timestep prior to age target 447 2.1364545565234184D+07
(age_target - star_age)/age_sigma 448 3.1872515529
reducing max timestep prior to age target 448 2.0717135093560219D+07
(age_target - star_age)/age_sigma 449 3.0876499418
reducing max timestep prior to age target 449 2.0069724621886253D+07
450 7.180355 5618.358 -0.046577 -0.046577 1.000000 1.000000 0.389163 0.005161 0.235361 -1.525898 510 0
5.8112E+00 7.180355 0.000176 -43.430516 -1.679414 -99.000000 0.000000 0.590777 0.008863 0.017301 0.115331 3
4.5501E+09 2.143527 -0.046518 -15.653560 -99.000000 -6.885942 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt
rel_E_err 1.8465072546065212D-13
log_rel_run_E_err -10.1267366980336764
(age_target - star_age)/age_sigma 450 2.9880483308
reducing max timestep prior to age target 450 1.9422314150212288D+07
save LOGS/profile10.data for model 450
save photos/x450 for model 450
(age_target - star_age)/age_sigma 451 2.8884467198
reducing max timestep prior to age target 451 1.8774903678538322D+07
(age_target - star_age)/age_sigma 452 2.7888451087
reducing max timestep prior to age target 452 1.8127493206864357D+07
(age_target - star_age)/age_sigma 453 2.6892434977
reducing max timestep prior to age target 453 1.7480082735190392D+07
(age_target - star_age)/age_sigma 454 2.5896418867
reducing max timestep prior to age target 454 1.6832672263516426D+07
(age_target - star_age)/age_sigma 455 2.4900402757
reducing max timestep prior to age target 455 1.6185261791842461D+07
(age_target - star_age)/age_sigma 456 2.3904386646
reducing max timestep prior to age target 456 1.5537851320168495D+07
(age_target - star_age)/age_sigma 457 2.2908370536
reducing max timestep prior to age target 457 1.4890440848494530D+07
(age_target - star_age)/age_sigma 458 2.1912354426
remaining steps and years until age target 458 22 1.4243030376821518D+07
(age_target - star_age)/age_sigma 459 2.0916338316
reducing max timestep prior to age target 459 1.3595619905147552D+07
460 7.180463 5618.484 -0.046365 -0.046365 1.000000 1.000000 0.388652 0.005163 0.235326 -1.525615 510 0
5.8112E+00 7.180463 0.000262 -43.423481 -1.679078 -99.000000 0.000000 0.591287 0.008861 0.017299 0.115396 3
4.5566E+09 2.143962 -0.046305 -99.000000 -99.000000 -6.886086 0.000000 0.000019 0.002036 0.020061 0.000E+00 max_dt
rel_E_err 1.8056548175923344D-13
log_rel_run_E_err -10.1161857957939922
(age_target - star_age)/age_sigma 460 1.9920322205
reducing max timestep prior to age target 460 1.2948209433473587D+07
(age_target - star_age)/age_sigma 461 1.8924306095
reducing max timestep prior to age target 461 1.2300798961799622D+07
(age_target - star_age)/age_sigma 462 1.7928289985
reducing max timestep prior to age target 462 1.1653388490125656D+07
(age_target - star_age)/age_sigma 463 1.6932273875
reducing max timestep prior to age target 463 1.1005978018451691D+07
(age_target - star_age)/age_sigma 464 1.5936257764
remaining steps and years until age target 464 16 1.0358567546778679D+07
(age_target - star_age)/age_sigma 465 1.4940241654
reducing max timestep prior to age target 465 9.7111570751047134D+06
(age_target - star_age)/age_sigma 466 1.3944225544
reducing max timestep prior to age target 466 9.0637466034307480D+06
(age_target - star_age)/age_sigma 467 1.2948209433
reducing max timestep prior to age target 467 8.4163361317567825D+06
(age_target - star_age)/age_sigma 468 1.1952193323
remaining steps and years until age target 468 12 7.7689256600837708D+06
(age_target - star_age)/age_sigma 469 1.0956177213
reducing max timestep prior to age target 469 7.1215151884098053D+06
470 7.180570 5618.611 -0.046152 -0.046152 1.000000 1.000000 0.388141 0.005164 0.235290 -1.525331 510 0
5.8112E+00 7.180570 0.000349 -43.416442 -1.678742 -99.000000 0.000000 0.591798 0.008860 0.017296 0.115460 3
4.5630E+09 2.144398 -0.046092 -99.000000 -99.000000 -6.886230 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt
rel_E_err 1.8678593318754821D-13
log_rel_run_E_err -10.1059072091945179
(age_target - star_age)/age_sigma 470 0.9960161103
remaining steps and years until age target 470 10 6.4741047167367935D+06
(age_target - star_age)/age_sigma 471 0.8964144992
reducing max timestep prior to age target 471 5.8266942450628281D+06
(age_target - star_age)/age_sigma 472 0.7968128882
reducing max timestep prior to age target 472 5.1792837733888626D+06
(age_target - star_age)/age_sigma 473 0.6972112772
reducing max timestep prior to age target 473 4.5318733017148972D+06
(age_target - star_age)/age_sigma 474 0.5976096662
remaining steps and years until age target 474 6 3.8844628300418854D+06
(age_target - star_age)/age_sigma 475 0.4980080551
reducing max timestep prior to age target 475 3.2370523583679199D+06
(age_target - star_age)/age_sigma 476 0.3984064441
remaining steps and years until age target 476 4 2.5896418866949081D+06
(age_target - star_age)/age_sigma 477 0.2988048331
reducing max timestep prior to age target 477 1.9422314150209427D+06
(age_target - star_age)/age_sigma 478 0.1992032221
reducing max timestep prior to age target 478 1.2948209433469772D+06
(age_target - star_age)/age_sigma 479 0.0996016110
model saved to final.mod
save photos/x479 for model 479
480 7.180678 5618.737 -0.045939 -0.045939 1.000000 1.000000 0.387629 0.005165 0.235254 -1.525048 510 0
5.8112E+00 7.180678 0.000436 -43.409398 -1.678405 -99.000000 0.000000 0.592308 0.008859 0.017294 0.115525 3
4.5695E+09 2.144834 -0.045880 -99.000000 -99.000000 -6.886374 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt
rel_E_err 1.7905116617505771D-13
log_rel_run_E_err -10.0960355190360360
chi^2 combined, chi^2 seismo, chi^2 spectro 480 333338.76 0.00 333338.76
save outputs/best.mod 480
save outputs/best.profile for model 480
save LOGS/profile11.data for model 480
have reached age_target
save LOGS/profile11.data for model 480
solver retries 5
varcontrol dt limit 202
max increase dt limit 2677
lgTeff dt limit 1
lgRho_cntr dt limit 92
model saved to final.mod
save photos/x480 for model 480
chi^2 combined, chi^2 seismo, chi^2 spectro 480 333338.76 0.00 333338.76
have reached age_target
runtime (minutes), retries, steps 2.59 0 480
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
480 7.180678 5618.737 -0.045939 -0.045939 1.000000 1.000000 0.387629 0.005165 0.235254 -1.525048 510 0
5.8112E+00 7.180678 0.000436 -43.409398 -1.678405 -99.000000 0.000000 0.592308 0.008859 0.017294 0.115525 3
4.5695E+09 2.144834 -0.045880 -99.000000 -99.000000 -6.886374 0.000000 0.000019 0.002037 0.020062 0.000E+00 max_dt
rel_E_err 1.7905116617505771D-13
log_rel_run_E_err -10.0960355190360360
Teff 5618.7368615174
radius 1.0010042019
radius_obs 1.0000000000
radius_sigma 0.0010000000
radius chi2term 1.0084215514
M_H 0.0039078812
M_H_obs 0.0000000000
M_H_sigma 0.0010000000
M_H chi2term 15.2715351827
log_R 0.0004359005
delta_nu 141.3127210040
nu_max 3113.4409186000
a_div_r 0.0000000000E+00
correction_r 0.0000000000E+00
initial_mass 1.0000000000
initial_Y 0.2610000000
initial_FeH 0.0600000000
alpha 2.0000000000
f_ov 0.0000000000
age 4.5695000000E+09
chi^2 spectro 333338.7599855780
model number 480
save best model results to outputs/sample_0005.data
current set of sample results
1 2 3 4 5 6 7 8
samples version_number compiler build MESA_SDK_version math_backend date search_type
5 "2b91b1c" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20250328" "newuoa"
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first
5 3.3333875998557796E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615174300E+03 1.0010042019475052E+00 3.9078811628111155E-03 4.3590053504746377E-04 1.4131272100398294E+02 3.1134409186000375E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557796E+05 0 0 0 0 0 0 0 4 3.3337679267851455E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721916E+03 1.0114129281998994E+00 3.5086385890206696E-04 4.9285006214149557E-03 1.3913658568072677E+02 3.0234851123038447E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851455E+05 0 0 0 0 0 0 0 1 3.3351283960191312E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383768001E+03 1.0231407131234531E+00 -1.7395981942482778E-03 9.9353665865919549E-03 1.3680762272705550E+02 2.9640776267827341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191312E+05 0 0 0 0 0 0 0 3 3.3365606602482282E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368150E+03 1.0099970103007425E+00 2.9466215561476317E-02 4.3200882263932762E-03 1.3947582155333515E+02 3.0536692076805812E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482282E+05 0 0 0 0 0 0 0 2 3.3468070564325654E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272448E+03 1.0622782375814297E+00 -1.2788199776380623E-02 2.6238284372332898E-02 1.2938435093833220E+02 2.7294282123453299E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325654E+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
retry: max residual jumped -- give up in solver 5
10 5.954452 4756.616 -12.856099 -12.856099 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 409 1
-5.0000E+00 5.954440 0.953959 -99.000000 -14.253965 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
9.0000E-05 -1.867441 1.571805 -99.000000 -99.000000 -7.767390 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
20 5.954452 4604.832 -12.856110 -12.856110 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 1
-5.0000E+00 5.954441 0.953773 -99.000000 -14.253975 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.9000E-04 -1.867439 1.515095 -99.000000 -99.000000 -7.738499 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
30 5.954453 4535.680 -12.856114 -12.856114 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954441 0.953661 -99.000000 -14.253980 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
2.9000E-04 -1.867438 1.488586 -99.000000 -99.000000 -7.719971 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
40 5.954453 4494.138 -12.856117 -12.856117 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 402 1
-5.0000E+00 5.954442 0.953584 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
3.9000E-04 -1.867438 1.472446 -99.000000 -99.000000 -7.707411 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
50 5.954453 4465.518 -12.856118 -12.856118 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 401 1
-5.0000E+00 5.954442 0.953525 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 2
4.9000E-04 -1.867438 1.461231 -99.000000 -99.000000 -7.698201 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
finished doing relax num steps
relax_to_radiative_core
10 5.954454 4323.624 -12.856121 -12.856121 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396048 400 0
-2.2907E+00 5.954443 0.953050 -99.000000 -14.253987 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071352 3
1.0230E-02 -1.867436 1.404185 -99.000000 -99.000000 -7.645758 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 10 3.9562810869851778D-01
20 5.954551 4316.948 -12.854848 -12.854848 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396045 400 0
7.1957E-01 5.954541 0.952890 -99.000000 -14.252714 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071344 3
1.0486E+01 -1.867288 1.401180 -99.000000 -99.000000 -7.642783 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 20 1.8246319607504208D-01
30 6.001286 4351.648 -12.207435 -12.207435 1.000000 1.000000 0.700000 0.001010 0.279998 -6.245080 403 0
3.4808E+00 6.001286 0.905364 -99.000000 -13.605301 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3
7.9479E+03 -1.731723 1.320037 -99.000000 -99.000000 -7.599621 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 30 7.8128501791382976D-08
40 6.180146 4462.623 -9.835914 -9.835914 1.000000 1.000000 0.700000 0.001010 0.279975 -5.625150 416 0
4.0475E+00 6.180146 0.720247 -99.000000 -11.233774 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071110 3
7.7284E+04 -1.194745 0.993549 -99.000000 -99.000000 -7.420617 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 40 7.8128501791382976D-08
50 6.357858 4518.626 -7.721006 -7.721006 1.000000 1.000000 0.700000 0.001010 0.279856 -5.009285 434 0
4.5599E+00 6.357858 0.538122 -99.000000 -9.118850 -99.000000 0.000000 0.280000 0.009381 0.019883 0.071123 3
3.0280E+05 -0.661371 0.650963 -99.000000 -99.000000 -7.222195 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 50 7.8128501569338371D-08
60 6.531911 4517.937 -5.852778 -5.852778 1.000000 1.000000 0.700000 0.001010 0.279536 -4.405436 447 0
5.0799E+00 6.531911 0.360894 -99.000000 -7.250579 -99.000000 0.000000 0.280000 0.009381 0.019672 0.071139 3
1.0458E+06 -0.138926 0.296243 -99.000000 -99.000000 -6.983378 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 60 7.8128500903204556D-08
finished relax to begin radiative core 66 2.4692958051424622D-02
finished doing relax_to_radiative_core
set_initial_number_retries 0
set_uniform_initial_composition
initial_h1 7.1237564951901089D-01
initial_h2 0.0000000000000000D+00
initial_he3 2.7000000000000002D-05
initial_he4 2.6997300000000002D-01
metals GS98
relax_initial_mass to new_mass 1.0000000000000000D+00
net name basic.net
do_element_diffusion T
tau_base 4.1164335019999998D-01
atm_option: T_tau
set_cumulative_energy_error 0.0000000000000000D+00
kap_option gs98
kap_CO_option gs98_co
kap_lowT_option lowT_fa05_gs98
OMP_NUM_THREADS 4
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
(age_target - star_age)/age_sigma 1 703.0000000000
begin reducing max timestep prior to age target 1 4.5694999999999905D+09
save LOGS/profile1.data for model 1
(age_target - star_age)/age_sigma 2 703.0000000000
reducing max timestep prior to age target 2 4.5694999999999781D+09
(age_target - star_age)/age_sigma 3 703.0000000000
reducing max timestep prior to age target 3 4.5694999999999638D+09
(age_target - star_age)/age_sigma 4 703.0000000000
reducing max timestep prior to age target 4 4.5694999999999466D+09
(age_target - star_age)/age_sigma 5 703.0000000000
reducing max timestep prior to age target 5 4.5694999999999256D+09
(age_target - star_age)/age_sigma 6 703.0000000000
reducing max timestep prior to age target 6 4.5694999999999008D+09
10 6.620908 4342.789 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 0
-4.2874E+00 6.620908 0.263043 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10
2.5959E-04 0.154703 0.031855 -20.169010 -99.000000 -6.892801 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.5261631813906248D-13
log_rel_run_E_err -11.5784146408121398
retry: max residual jumped -- give up in solver 12
20 6.620908 4356.555 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1
-3.8758E+00 6.620908 0.263059 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 3
9.7160E-04 0.154704 0.037384 -20.470040 -99.000000 -6.898682 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.7275105047878291D-13
log_rel_run_E_err -11.2771853325936355
30 6.620909 4361.398 -4.908929 -4.908929 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1
-3.0840E+00 6.620909 0.263069 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 5
5.1182E-03 0.154704 0.039335 -99.000000 -99.000000 -6.900725 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.7964906046592399D-13
log_rel_run_E_err -11.0997523744241970
40 6.620909 4361.279 -4.908929 -4.908929 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1
-2.2921E+00 6.620909 0.263072 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 4
3.0793E-02 0.154704 0.039294 -99.000000 -99.000000 -6.900679 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.8505560785691011D-13
log_rel_run_E_err -10.9728646061039328
50 6.620909 4360.365 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027573 457 1
-1.5003E+00 6.620909 0.263067 -99.000000 -6.306677 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 4
1.8977E-01 0.154704 0.038918 -99.000000 -99.000000 -6.900290 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.5951432083615722D-13
log_rel_run_E_err -10.8759987221134473
save LOGS/profile2.data for model 50
save photos/x050 for model 50
60 6.620909 4359.635 -4.908928 -4.908928 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027572 457 1
-7.0852E-01 6.620909 0.263061 -99.000000 -6.306676 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 5
1.1741E+00 0.154704 0.038615 -99.000000 -99.000000 -6.899978 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.8095403958220721D-13
log_rel_run_E_err -10.7972224235983134
70 6.620909 4359.627 -4.908925 -4.908925 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027571 457 1
8.3295E-02 6.620909 0.263060 -99.000000 -6.306673 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10
7.2687E+00 0.154705 0.038610 -20.293948 -99.000000 -6.899973 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.6790350471237298D-13
log_rel_run_E_err -10.7304522838777796
80 6.620910 4359.596 -4.908904 -4.908904 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027560 457 1
8.7511E-01 6.620910 0.263054 -99.000000 -6.306652 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071838 10
4.5005E+01 0.154712 0.038587 -19.867980 -99.000000 -6.899954 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.6696981393395098D-13
log_rel_run_E_err -10.6728694461952553
90 6.620922 4359.559 -4.908762 -4.908762 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027493 457 1
1.6669E+00 6.620922 0.263037 -99.000000 -6.306511 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071839 10
2.7866E+02 0.154758 0.038538 -20.771070 -99.000000 -6.899918 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 4.3082777574299027D-13
log_rel_run_E_err -10.5780191426616526
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
100 6.620999 4359.468 -4.907882 -4.907882 1.000000 1.000000 0.712376 0.000890 0.270000 -4.027077 457 1
2.4587E+00 6.620999 0.262944 -99.000000 -6.305631 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071842 2
1.7254E+03 0.155054 0.038316 -20.169010 -99.000000 -6.899769 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.4789064238070896D-13
log_rel_run_E_err -10.5365225920589616
save LOGS/profile3.data for model 100
save photos/x100 for model 100
110 6.621478 4358.901 -4.902453 -4.902453 1.000000 1.000000 0.712376 0.000890 0.270000 -4.024505 457 1
3.2505E+00 6.621478 0.262374 -99.000000 -6.300201 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071864 2
1.0683E+04 0.156883 0.036950 -20.470040 -99.000000 -6.898850 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.6784350272787465D-13
log_rel_run_E_err -10.4989981836463127
120 6.624383 4355.426 -4.869457 -4.869457 1.000000 1.000000 0.712376 0.000890 0.270000 -4.008751 457 1
4.0424E+00 6.624383 0.258903 -99.000000 -6.267202 -99.000000 0.000000 0.270000 0.008266 0.017624 0.071999 2
6.6147E+04 0.168041 0.028623 -99.000000 -99.000000 -6.893241 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 1.0707001998877701D-14
log_rel_run_E_err -10.4724020636155526
130 6.640351 4335.169 -4.685960 -4.685960 1.000000 1.000000 0.712375 0.000890 0.270000 -3.916606 457 1
4.8342E+00 6.640351 0.239476 -99.000000 -6.083690 -99.000000 0.000000 0.270000 0.008266 0.017624 0.072878 3
4.0956E+05 0.231758 -0.018330 -99.000000 -99.000000 -6.861216 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 2.6419704308294718D-13
log_rel_run_E_err -10.4184378458470874
140 6.701163 4260.010 -3.970238 -3.970238 1.000000 1.000000 0.712374 0.000890 0.270000 -3.477253 460 1
5.6260E+00 6.701163 0.163362 -99.000000 -5.367875 -99.000000 0.000000 0.270001 0.008266 0.017624 0.078570 4
2.5359E+06 0.512179 -0.200940 -19.566950 -99.000000 -6.733749 0.000000 0.003037 0.001837 0.017624 0.000E+00 max increase
rel_E_err 4.6174392473666408D-12
log_rel_run_E_err -10.3502070702060323
150 6.806573 4347.077 -2.828025 -2.828025 1.000000 1.000000 0.712368 0.000890 0.269997 -2.614110 470 1
5.9018E+00 6.806573 0.066775 -99.000000 -4.225254 -99.000000 0.000000 0.270007 0.008266 0.017624 0.092357 4
9.5409E+06 1.039036 -0.358968 -99.000000 -99.000000 -6.658262 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr
rel_E_err 2.2466241666364795D-13
log_rel_run_E_err -10.4581565198296413
save LOGS/profile4.data for model 150
save photos/x150 for model 150
160 6.953254 4996.719 -1.535261 -1.535261 1.000000 1.000000 0.712325 0.000890 0.269986 -1.793444 486 1
5.9977E+00 6.953254 0.023246 -99.000000 -2.931449 -99.000000 0.000000 0.270050 0.008267 0.017624 0.101550 4
1.9938E+07 1.602668 -0.204075 -17.459740 -99.000000 -6.778611 0.000000 0.003038 0.001837 0.017625 0.000E+00 lgRho_cntr
rel_E_err 1.7725317703050570D-13
log_rel_run_E_err -10.5782147338345105
170 7.134571 5631.372 -0.138564 -0.138564 1.000000 1.000000 0.711584 0.001681 0.269894 -1.734404 525 1
6.5395E+00 7.134571 -0.039437 -47.026461 -1.694338 -99.000000 0.000000 0.270676 0.008267 0.017618 0.084079 5
3.8515E+07 1.899740 -0.121723 -15.477469 -99.000000 -6.824534 0.000000 0.002361 0.001838 0.017740 0.000E+00 max increase
rel_E_err 1.9060524214196610D-13
log_rel_run_E_err -10.6853594036161024
(age_target - star_age)/age_sigma 173 694.7474824407
reducing max timestep prior to age target 173 4.5158586358648157D+09
180 7.132576 5623.798 -0.130991 -0.130991 1.000000 1.000000 0.704701 0.004374 0.269138 -1.677134 511 1
7.3313E+00 7.132576 -0.042805 -47.061369 -1.775424 -99.000000 0.000000 0.277162 0.008273 0.017575 0.086331 10
1.4639E+08 1.921941 -0.130798 -15.477469 -99.000000 -6.818386 0.000000 0.000055 0.001839 0.018137 0.000E+00 max increase
rel_E_err 1.8511574984055245D-13
log_rel_run_E_err -10.6487942465665899
(age_target - star_age)/age_sigma 180 680.4785088516
reducing max timestep prior to age target 180 4.4231103075355120D+09
(age_target - star_age)/age_sigma 183 666.0693698236
reducing max timestep prior to age target 183 4.3294509038531971D+09
(age_target - star_age)/age_sigma 185 651.0205283595
reducing max timestep prior to age target 185 4.2316334343370738D+09
(age_target - star_age)/age_sigma 187 629.3501966514
reducing max timestep prior to age target 187 4.0907762782338567D+09
(age_target - star_age)/age_sigma 188 617.0312527937
reducing max timestep prior to age target 188 4.0107031431588769D+09
(age_target - star_age)/age_sigma 189 604.9586878131
reducing max timestep prior to age target 189 3.9322314707853971D+09
190 7.138666 5639.711 -0.111500 -0.111500 1.000000 1.000000 0.661194 0.004453 0.265168 -1.654832 514 1
7.8859E+00 7.138666 -0.035575 -46.530032 -1.773822 -99.000000 0.000000 0.320586 0.008296 0.017342 0.089292 10
7.1417E+08 1.951356 -0.111429 -99.000000 -99.000000 -6.831863 0.000000 0.000013 0.001846 0.018219 0.000E+00 max_dt
rel_E_err 2.0104583157875285D-13
log_rel_run_E_err -10.6143708519137654
(age_target - star_age)/age_sigma 190 593.1275741322
reducing max timestep prior to age target 190 3.8553292318593864D+09
(age_target - star_age)/age_sigma 191 581.5330827249
reducing max timestep prior to age target 191 3.7799650377118964D+09
(age_target - star_age)/age_sigma 192 570.1704811457
reducing max timestep prior to age target 192 3.7061081274473562D+09
(age_target - star_age)/age_sigma 193 559.0351315982
reducing max timestep prior to age target 193 3.6337283553881063D+09
(age_target - star_age)/age_sigma 194 548.1224890415
reducing max timestep prior to age target 194 3.5627961787700419D+09
(age_target - star_age)/age_sigma 195 537.4280993361
reducing max timestep prior to age target 195 3.4932826456843386D+09
(age_target - star_age)/age_sigma 196 526.9475974247
reducing max timestep prior to age target 196 3.4251593832603493D+09
(age_target - star_age)/age_sigma 197 516.6767055515
reducing max timestep prior to age target 197 3.3583985860848398D+09
(age_target - star_age)/age_sigma 198 506.6112315158
reducing max timestep prior to age target 198 3.2929730048528414D+09
(age_target - star_age)/age_sigma 199 496.7470669608
reducing max timestep prior to age target 199 3.2288559352454815D+09
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
200 7.147385 5656.293 -0.090590 -0.090590 1.000000 1.000000 0.606417 0.004497 0.260494 -1.634323 516 1
7.7982E+00 7.147385 -0.027668 -45.850341 -1.751733 -99.000000 0.000000 0.375274 0.008314 0.017066 0.093074 10
1.4035E+09 1.987283 -0.090515 -99.000000 -99.000000 -6.847100 0.000000 0.000014 0.001855 0.018309 0.000E+00 max_dt
rel_E_err 1.9104924290987858D-13
log_rel_run_E_err -10.5819199732402911
(age_target - star_age)/age_sigma 200 487.0801856970
reducing max timestep prior to age target 200 3.1660212070302696D+09
save LOGS/profile5.data for model 200
save photos/x200 for model 200
(age_target - star_age)/age_sigma 201 477.6066420584
reducing max timestep prior to age target 201 3.1044431733793621D+09
(age_target - star_age)/age_sigma 202 468.3225692925
reducing max timestep prior to age target 202 3.0440967004014721D+09
(age_target - star_age)/age_sigma 203 459.2241779820
reducing max timestep prior to age target 203 2.9849571568831406D+09
(age_target - star_age)/age_sigma 204 450.3077544977
reducing max timestep prior to age target 204 2.9270004042351751D+09
(age_target - star_age)/age_sigma 205 441.5696594831
reducing max timestep prior to age target 205 2.8702027866401691D+09
(age_target - star_age)/age_sigma 206 433.0063263688
reducing max timestep prior to age target 206 2.8145411213970637D+09
(age_target - star_age)/age_sigma 207 424.6142599167
reducing max timestep prior to age target 207 2.7599926894588199D+09
(age_target - star_age)/age_sigma 208 416.3900347937
reducing max timestep prior to age target 208 2.7065352261593409D+09
(age_target - star_age)/age_sigma 209 408.3302941732
reducing max timestep prior to age target 209 2.6541469121258516D+09
210 7.155057 5669.413 -0.073098 -0.073098 1.000000 1.000000 0.560889 0.004541 0.256645 -1.616088 516 1
7.7105E+00 7.155057 -0.020935 -45.280447 -1.730337 -99.000000 0.000000 0.420732 0.008318 0.016841 0.096566 10
1.9667E+09 2.018642 -0.073024 -15.255620 -99.000000 -6.860073 0.000000 0.000015 0.001863 0.018379 0.000E+00 max_dt
rel_E_err 1.6427436616395574D-13
log_rel_run_E_err -10.5526127179965279
(age_target - star_age)/age_sigma 210 400.4317483651
reducing max timestep prior to age target 210 2.6028063643730326D+09
(age_target - star_age)/age_sigma 211 392.6911734731
reducing max timestep prior to age target 211 2.5524926275752697D+09
(age_target - star_age)/age_sigma 212 385.1054100790
reducing max timestep prior to age target 212 2.5031851655134616D+09
(age_target - star_age)/age_sigma 213 377.6713619528
reducing max timestep prior to age target 213 2.4548638526928902D+09
(age_target - star_age)/age_sigma 214 370.3859947890
reducing max timestep prior to age target 214 2.4075089661287298D+09
(age_target - star_age)/age_sigma 215 363.2463349686
reducing max timestep prior to age target 215 2.3611011772958527D+09
(age_target - star_age)/age_sigma 216 356.2494683446
reducing max timestep prior to age target 216 2.3156215442396331D+09
(age_target - star_age)/age_sigma 217 349.3925390530
reducing max timestep prior to age target 217 2.2710515038445382D+09
(age_target - star_age)/age_sigma 218 342.6727483473
reducing max timestep prior to age target 218 2.2273728642573452D+09
220 7.161731 5679.795 -0.058348 -0.058348 1.000000 1.000000 0.523042 0.004585 0.253535 -1.600043 517 1
7.6315E+00 7.161731 -0.015150 -44.801517 -1.711038 -99.000000 0.000000 0.458525 0.008310 0.016658 0.099751 10
2.4277E+09 2.045781 -0.058275 -99.000000 -99.000000 -6.871048 0.000000 0.000015 0.001868 0.018433 0.000E+00 max_dt
rel_E_err 1.8714984331754284D-13
log_rel_run_E_err -10.5256960295284721
(age_target - star_age)/age_sigma 220 329.5019585641
reducing max timestep prior to age target 220 2.1417627306664472D+09
(age_target - star_age)/age_sigma 221 323.0482715703
reducing max timestep prior to age target 221 2.0998137652069068D+09
(age_target - star_age)/age_sigma 222 316.7236583164
reducing max timestep prior to age target 222 2.0587037790565572D+09
(age_target - star_age)/age_sigma 223 310.5255373276
reducing max timestep prior to age target 223 2.0184159926292148D+09
(age_target - star_age)/age_sigma 224 304.4513787585
reducing max timestep prior to age target 224 1.9789339619304190D+09
(age_target - star_age)/age_sigma 225 298.4987033609
reducing max timestep prior to age target 225 1.9402415718455992D+09
(age_target - star_age)/age_sigma 226 292.6650814712
reducing max timestep prior to age target 226 1.9023230295624762D+09
(age_target - star_age)/age_sigma 227 286.9481320192
reducing max timestep prior to age target 227 1.8651628581250153D+09
(age_target - star_age)/age_sigma 228 281.3455215564
reducing max timestep prior to age target 228 1.8287458901163039D+09
(age_target - star_age)/age_sigma 229 275.8549633027
reducing max timestep prior to age target 229 1.7930572614677663D+09
230 7.167589 5688.115 -0.045742 -0.045742 1.000000 1.000000 0.491095 0.004631 0.250912 -1.585831 518 1
7.5438E+00 7.167589 -0.010119 -44.392252 -1.693696 -99.000000 0.000000 0.490429 0.008292 0.016503 0.102666 10
2.8114E+09 2.069510 -0.045672 -99.000000 -99.000000 -6.880472 0.000000 0.000016 0.001873 0.018476 0.000E+00 max_dt
rel_E_err 1.9526972891425105D-13
log_rel_run_E_err -10.4992001177728316
(age_target - star_age)/age_sigma 230 270.4742162142
reducing max timestep prior to age target 230 1.7580824053921995D+09
(age_target - star_age)/age_sigma 231 265.2010840674
reducing max timestep prior to age target 231 1.7238070464381442D+09
(age_target - star_age)/age_sigma 232 260.0334145636
reducing max timestep prior to age target 232 1.6902171946631703D+09
(age_target - star_age)/age_sigma 233 254.9690984498
reducing max timestep prior to age target 233 1.6572991399236956D+09
(age_target - star_age)/age_sigma 234 250.0060686583
reducing max timestep prior to age target 234 1.6250394462790103D+09
(age_target - star_age)/age_sigma 235 245.1422994626
reducing max timestep prior to age target 235 1.5934249465072188D+09
(age_target - star_age)/age_sigma 236 240.3758056509
reducing max timestep prior to age target 236 1.5624427367308631D+09
(age_target - star_age)/age_sigma 237 235.7046417154
reducing max timestep prior to age target 237 1.5320801711500349D+09
(age_target - star_age)/age_sigma 238 231.1269010586
reducing max timestep prior to age target 238 1.5023248568808227D+09
(age_target - star_age)/age_sigma 239 226.6407152149
reducing max timestep prior to age target 239 1.4731646488969951D+09
240 7.172591 5694.658 -0.035209 -0.035209 1.000000 1.000000 0.464654 0.004677 0.248771 -1.573620 516 1
7.4560E+00 7.172591 -0.005853 -44.049525 -1.678592 -99.000000 0.000000 0.516838 0.008267 0.016375 0.105255 10
3.1249E+09 2.089700 -0.035141 -15.653560 -99.000000 -6.888330 0.000000 0.000016 0.001877 0.018509 0.000E+00 max_dt
rel_E_err 1.8746192840809685D-13
log_rel_run_E_err -10.4750535130102325
(age_target - star_age)/age_sigma 240 222.2442530881
reducing max timestep prior to age target 240 1.4445876450728436D+09
(age_target - star_age)/age_sigma 241 217.9357202039
reducing max timestep prior to age target 241 1.4165821813251758D+09
(age_target - star_age)/age_sigma 242 213.7133579773
reducing max timestep prior to age target 242 1.3891368268524609D+09
(age_target - star_age)/age_sigma 243 209.5754429953
reducing max timestep prior to age target 243 1.3622403794692001D+09
(age_target - star_age)/age_sigma 244 205.5202863129
reducing max timestep prior to age target 244 1.3358818610336051D+09
(age_target - star_age)/age_sigma 245 201.5462327641
reducing max timestep prior to age target 245 1.3100505129667215D+09
(age_target - star_age)/age_sigma 246 197.6516602863
reducing max timestep prior to age target 246 1.2847357918611755D+09
(age_target - star_age)/age_sigma 247 193.8349792581
reducing max timestep prior to age target 247 1.2599273651777406D+09
(age_target - star_age)/age_sigma 248 190.0946318505
reducing max timestep prior to age target 248 1.2356151070279746D+09
(age_target - star_age)/age_sigma 249 186.4290913910
reducing max timestep prior to age target 249 1.2117890940412040D+09
250 7.176829 5699.811 -0.026439 -0.026439 1.000000 1.000000 0.442801 0.004721 0.247041 -1.563207 518 1
7.3683E+00 7.176829 -0.002254 -43.763514 -1.665570 -99.000000 0.000000 0.538665 0.008238 0.016271 0.107528 10
3.3811E+09 2.106772 -0.026373 -15.477469 -99.000000 -6.894869 0.000000 0.000017 0.001880 0.018533 0.000E+00 max_dt
rel_E_err 1.8293470741202834D-13
log_rel_run_E_err -10.4519477688181279
(age_target - star_age)/age_sigma 250 182.8368617406
reducing max timestep prior to age target 250 1.1884396013141689D+09
save LOGS/profile6.data for model 250
save photos/x250 for model 250
(age_target - star_age)/age_sigma 251 179.3164766833
reducing max timestep prior to age target 251 1.1655570984416742D+09
(age_target - star_age)/age_sigma 252 175.8664993272
reducing max timestep prior to age target 252 1.1431322456266294D+09
(age_target - star_age)/age_sigma 254 169.1045437091
reducing max timestep prior to age target 254 1.0991795341091409D+09
(age_target - star_age)/age_sigma 255 165.7911854562
reducing max timestep prior to age target 255 1.0776427054655719D+09
(age_target - star_age)/age_sigma 256 162.5440943684
reducing max timestep prior to age target 256 1.0565366133948746D+09
(age_target - star_age)/age_sigma 257 159.3619451024
reducing max timestep prior to age target 257 1.0358526431655908D+09
(age_target - star_age)/age_sigma 258 156.2434388217
reducing max timestep prior to age target 258 1.0155823523408928D+09
(age_target - star_age)/age_sigma 259 153.1873026666
reducing max timestep prior to age target 259 9.9571746733268881D+08
260 7.180601 5703.972 -0.019052 -0.019052 1.000000 1.000000 0.424490 0.004764 0.245644 -1.554118 519 1
7.2893E+00 7.180601 0.000805 -43.521290 -1.654301 -99.000000 0.000000 0.556957 0.008207 0.016187 0.109519 10
3.5933E+09 2.121633 -0.018987 -99.000000 -99.000000 -6.900359 0.000000 0.000017 0.001883 0.018553 0.000E+00 max_dt
rel_E_err 1.9185060006847134D-13
log_rel_run_E_err -10.4299298127412996
(age_target - star_age)/age_sigma 260 150.1922892346
reducing max timestep prior to age target 260 9.7624988002464867D+08
(age_target - star_age)/age_sigma 261 147.2571760712
reducing max timestep prior to age target 261 9.5717164446276999D+08
(age_target - star_age)/age_sigma 262 144.3807651711
reducing max timestep prior to age target 262 9.3847497361212826D+08
(age_target - star_age)/age_sigma 263 141.5618824890
reducing max timestep prior to age target 263 9.2015223617849922D+08
(age_target - star_age)/age_sigma 264 138.7993774605
reducing max timestep prior to age target 264 9.0219595349354315D+08
(age_target - star_age)/age_sigma 265 136.0921225327
reducing max timestep prior to age target 265 8.8459879646228600D+08
(age_target - star_age)/age_sigma 266 133.4390127033
reducing max timestep prior to age target 266 8.6735358257165432D+08
(age_target - star_age)/age_sigma 267 130.8389650706
reducing max timestep prior to age target 267 8.5045327295883512D+08
(age_target - star_age)/age_sigma 268 128.2909183905
reducing max timestep prior to age target 268 8.3389096953827190D+08
(age_target - star_age)/age_sigma 269 125.7938326440
reducing max timestep prior to age target 269 8.1765991218612051D+08
270 7.183664 5707.244 -0.012909 -0.012909 1.000000 1.000000 0.409279 0.004804 0.244479 -1.546500 519 1
7.2016E+00 7.183664 0.003376 -43.319284 -1.644665 -99.000000 0.000000 0.572153 0.008175 0.016117 0.111261 10
3.7677E+09 2.133953 -0.012848 -99.000000 -99.000000 -6.904912 0.000000 0.000018 0.001885 0.018567 0.000E+00 max_dt
rel_E_err 1.9018089740633325D-13
log_rel_run_E_err -10.4090366893115700
(age_target - star_age)/age_sigma 270 123.3466886125
reducing max timestep prior to age target 270 8.0175347598101187D+08
(age_target - star_age)/age_sigma 271 120.9484874615
reducing max timestep prior to age target 271 7.8616516850000572D+08
(age_target - star_age)/age_sigma 272 118.5982503336
reducing max timestep prior to age target 272 7.7088862716861916D+08
(age_target - star_age)/age_sigma 273 116.2950179483
reducing max timestep prior to age target 273 7.5591761666386032D+08
(age_target - star_age)/age_sigma 274 114.0378502106
reducing max timestep prior to age target 274 7.4124602636919737D+08
(age_target - star_age)/age_sigma 275 111.8258258278
reducing max timestep prior to age target 275 7.2686786788042688D+08
(age_target - star_age)/age_sigma 276 109.6580419325
reducing max timestep prior to age target 276 7.1277727256143236D+08
(age_target - star_age)/age_sigma 277 107.5336137152
reducing max timestep prior to age target 277 6.9896848914881754D+08
(age_target - star_age)/age_sigma 278 105.4516740622
reducing max timestep prior to age target 278 6.8543588140445518D+08
(age_target - star_age)/age_sigma 279 103.4113732023
reducing max timestep prior to age target 279 6.7217392581497955D+08
280 7.186225 5709.840 -0.007837 -0.007837 1.000000 1.000000 0.396755 0.004841 0.243500 -1.540110 519 1
7.1138E+00 7.186225 0.005517 -43.151833 -1.636537 -99.000000 0.000000 0.584666 0.008144 0.016059 0.112750 10
3.9103E+09 2.144243 -0.007777 -99.000000 -99.000000 -6.908681 0.000000 0.000018 0.001887 0.018578 0.000E+00 max_dt
rel_E_err 1.8006614689432392D-13
log_rel_run_E_err -10.3889253293547075
(age_target - star_age)/age_sigma 280 101.4118783596
reducing max timestep prior to age target 280 6.5917720933729362D+08
(age_target - star_age)/age_sigma 281 99.4523734137
reducing max timestep prior to age target 281 6.4644042718916178D+08
(age_target - star_age)/age_sigma 282 97.5320585668
reducing max timestep prior to age target 282 6.3395838068399239D+08
(age_target - star_age)/age_sigma 283 95.6501500168
reducing max timestep prior to age target 283 6.2172597510892582D+08
(age_target - star_age)/age_sigma 284 93.8058796377
reducing max timestep prior to age target 284 6.0973821764536095D+08
(age_target - star_age)/age_sigma 285 91.9984946663
reducing max timestep prior to age target 285 5.9799021533106756D+08
(age_target - star_age)/age_sigma 286 90.2272573943
reducing max timestep prior to age target 286 5.8647717306305981D+08
(age_target - star_age)/age_sigma 287 88.4914448678
reducing max timestep prior to age target 287 5.7519439164041233D+08
(age_target - star_age)/age_sigma 289 85.0892523157
reducing max timestep prior to age target 289 5.5308014005202389D+08
290 7.188366 5711.910 -0.003640 -0.003640 1.000000 1.000000 0.386416 0.004874 0.242710 -1.534784 520 1
7.0349E+00 7.188366 0.007299 -43.012754 -1.629692 -99.000000 0.000000 0.594997 0.008115 0.016011 0.114016 10
4.0273E+09 2.152824 -0.003582 -15.653560 -99.000000 -6.911786 0.000000 0.000018 0.001888 0.018587 0.000E+00 max_dt
rel_E_err 1.7889460460515510D-13
log_rel_run_E_err -10.3698280820607849
(age_target - star_age)/age_sigma 290 83.4221779652
reducing max timestep prior to age target 290 5.4224415677371311D+08
(age_target - star_age)/age_sigma 291 81.7884451017
reducing max timestep prior to age target 291 5.3162489316096878D+08
(age_target - star_age)/age_sigma 292 80.1873868955
reducing max timestep prior to age target 292 5.2121801482047939D+08
(age_target - star_age)/age_sigma 293 78.6183498534
reducing max timestep prior to age target 293 5.1101927404680014D+08
(age_target - star_age)/age_sigma 294 77.0806935521
reducing max timestep prior to age target 294 5.0102450808859396D+08
(age_target - star_age)/age_sigma 295 75.5737903769
reducing max timestep prior to age target 295 4.9122963744955206D+08
(age_target - star_age)/age_sigma 296 74.0970252651
reducing max timestep prior to age target 296 4.8163066422329092D+08
(age_target - star_age)/age_sigma 297 72.6497954556
reducing max timestep prior to age target 297 4.7222367046155500D+08
(age_target - star_age)/age_sigma 298 71.2315102423
reducing max timestep prior to age target 298 4.6300481657505369D+08
(age_target - star_age)/age_sigma 299 69.8415907333
reducing max timestep prior to age target 299 4.5397033976628256D+08
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
300 7.190172 5713.577 -0.000134 -0.000134 1.000000 1.000000 0.377779 0.004903 0.242063 -1.530292 520 1
6.9471E+00 7.190172 0.008799 -42.896058 -1.623884 -99.000000 0.000000 0.603627 0.008088 0.015973 0.115102 5
4.1244E+09 2.160051 -0.000077 -99.000000 -99.000000 -6.914372 0.000000 0.000019 0.001889 0.018593 0.000E+00 max_dt
rel_E_err 1.9299838215042069D-13
log_rel_run_E_err -10.3513815860836207
(age_target - star_age)/age_sigma 300 68.4794696144
reducing max timestep prior to age target 300 4.4511655249368668D+08
save LOGS/profile7.data for model 300
save photos/x300 for model 300
(age_target - star_age)/age_sigma 301 67.1445909179
reducing max timestep prior to age target 301 4.3643984096654272D+08
(age_target - star_age)/age_sigma 302 65.8364097954
reducing max timestep prior to age target 302 4.2793666366994190D+08
(age_target - star_age)/age_sigma 303 64.5543922953
reducing max timestep prior to age target 303 4.1960354991927290D+08
(age_target - star_age)/age_sigma 304 63.2980151452
reducing max timestep prior to age target 304 4.1143709844361734D+08
(age_target - star_age)/age_sigma 305 62.0667655381
reducing max timestep prior to age target 305 4.0343397599747515D+08
(age_target - star_age)/age_sigma 306 60.8601409231
reducing max timestep prior to age target 306 3.9559091600025558D+08
(age_target - star_age)/age_sigma 307 59.6776488005
reducing max timestep prior to age target 307 3.8790471720298004D+08
(age_target - star_age)/age_sigma 308 58.5188065203
reducing max timestep prior to age target 308 3.8037224238165045D+08
(age_target - star_age)/age_sigma 309 57.3831410857
reducing max timestep prior to age target 309 3.7299041705674696D+08
310 7.191667 5714.905 0.002747 0.002747 1.000000 1.000000 0.370689 0.004929 0.241539 -1.526578 520 1
6.8594E+00 7.191667 0.010036 -42.799868 -1.619052 -99.000000 0.000000 0.610713 0.008064 0.015941 0.116013 5
4.2037E+09 2.166025 0.002803 -99.000000 -99.000000 -6.916491 0.000000 0.000019 0.001890 0.018598 0.000E+00 max_dt
rel_E_err 1.8931993460022772D-13
log_rel_run_E_err -10.3338557335546621
(age_target - star_age)/age_sigma 310 56.2701889597
reducing max timestep prior to age target 310 3.6575622823834229D+08
(age_target - star_age)/age_sigma 311 55.1794958764
reducing max timestep prior to age target 311 3.5866672319630480D+08
(age_target - star_age)/age_sigma 312 54.1106166546
reducing max timestep prior to age target 312 3.5171900825510883D+08
(age_target - star_age)/age_sigma 313 53.0631150173
reducing max timestep prior to age target 313 3.4491024761273670D+08
(age_target - star_age)/age_sigma 314 52.0365634128
reducing max timestep prior to age target 314 3.3823766218321180D+08
(age_target - star_age)/age_sigma 315 51.0305428404
reducing max timestep prior to age target 315 3.3169852846227741D+08
(age_target - star_age)/age_sigma 316 50.0446426793
reducing max timestep prior to age target 316 3.2529017741576195D+08
(age_target - star_age)/age_sigma 317 49.0784605216
reducing max timestep prior to age target 317 3.1900999339017677D+08
(age_target - star_age)/age_sigma 318 48.1316020069
reducing max timestep prior to age target 318 3.1285541304510307D+08
(age_target - star_age)/age_sigma 319 47.2036806626
reducing max timestep prior to age target 319 3.0682392430693102D+08
320 7.192902 5715.966 0.005111 0.005111 1.000000 1.000000 0.364873 0.004951 0.241115 -1.523513 520 1
6.7717E+00 7.192902 0.011057 -42.720704 -1.615045 -99.000000 0.000000 0.616525 0.008043 0.015916 0.116774 5
4.2686E+09 2.170953 0.005166 -99.000000 -99.000000 -6.918225 0.000000 0.000019 0.001891 0.018602 0.000E+00 max_dt
rel_E_err 1.8481233555779215D-13
log_rel_run_E_err -10.3168821131219755
(age_target - star_age)/age_sigma 320 46.2943177452
reducing max timestep prior to age target 320 3.0091306534352207D+08
(age_target - star_age)/age_sigma 321 45.4031420861
reducing max timestep prior to age target 321 2.9512042355938148D+08
(age_target - star_age)/age_sigma 322 44.5297899401
reducing max timestep prior to age target 322 2.8944363461092329D+08
(age_target - star_age)/age_sigma 324 42.8180197341
reducing max timestep prior to age target 324 2.7831712827194595D+08
(age_target - star_age)/age_sigma 325 41.9792523332
reducing max timestep prior to age target 325 2.7286514016584778D+08
(age_target - star_age)/age_sigma 326 41.1572602803
reducing max timestep prior to age target 326 2.6752219182187080D+08
(age_target - star_age)/age_sigma 327 40.3517080684
reducing max timestep prior to age target 327 2.6228610244477272D+08
(age_target - star_age)/age_sigma 328 39.5622669008
reducing max timestep prior to age target 328 2.5715473485521793D+08
(age_target - star_age)/age_sigma 329 38.7886145565
reducing max timestep prior to age target 329 2.5212599461745358D+08
330 7.193934 5716.830 0.007076 0.007076 1.000000 1.000000 0.360038 0.004971 0.240765 -1.520952 520 1
6.6927E+00 7.193934 0.011908 -42.654729 -1.611685 -99.000000 0.000000 0.621356 0.008025 0.015895 0.117415 5
4.3223E+09 2.175068 0.007130 -99.000000 -99.000000 -6.919663 0.000000 0.000019 0.001891 0.018605 0.000E+00 max_dt
rel_E_err 1.7989512730573020D-13
log_rel_run_E_err -10.3002031025056660
(age_target - star_age)/age_sigma 330 38.0304352591
reducing max timestep prior to age target 330 2.4719782918444538D+08
(age_target - star_age)/age_sigma 331 37.2874195477
reducing max timestep prior to age target 331 2.4236822706009674D+08
(age_target - star_age)/age_sigma 332 36.5592641505
reducing max timestep prior to age target 332 2.3763521697823429D+08
(age_target - star_age)/age_sigma 333 35.8456718612
reducing max timestep prior to age target 333 2.3299686709801006D+08
(age_target - star_age)/age_sigma 334 35.1463514178
reducing max timestep prior to age target 334 2.2845128421539021D+08
(age_target - star_age)/age_sigma 335 34.4610173831
reducing max timestep prior to age target 335 2.2399661299042225D+08
(age_target - star_age)/age_sigma 336 33.7893900292
reducing max timestep prior to age target 336 2.1963103518995380D+08
(age_target - star_age)/age_sigma 337 33.1311952224
reducing max timestep prior to age target 337 2.1535276894549465D+08
(age_target - star_age)/age_sigma 338 32.4861643117
reducing max timestep prior to age target 338 2.1116006802592468D+08
(age_target - star_age)/age_sigma 339 31.8540340192
reducing max timestep prior to age target 339 2.0705122112474632D+08
340 7.194789 5717.524 0.008695 0.008695 1.000000 1.000000 0.356052 0.004987 0.240479 -1.518828 519 1
6.6049E+00 7.194789 0.012611 -42.600212 -1.608896 -99.000000 0.000000 0.625340 0.008009 0.015877 0.117951 5
4.3665E+09 2.178477 0.008747 -99.000000 -99.000000 -6.920845 0.000000 0.000019 0.001892 0.018608 0.000E+00 max_dt
rel_E_err 1.8218373587740937D-13
log_rel_run_E_err -10.2844721258656389
(age_target - star_age)/age_sigma 340 31.2345463326
reducing max timestep prior to age target 340 2.0302455116159248D+08
(age_target - star_age)/age_sigma 341 30.6274483996
reducing max timestep prior to age target 341 1.9907841459770012D+08
(age_target - star_age)/age_sigma 342 30.0324924254
reducing max timestep prior to age target 342 1.9521120076508617D+08
(age_target - star_age)/age_sigma 343 29.4494355706
reducing max timestep prior to age target 343 1.9142133120912457D+08
(age_target - star_age)/age_sigma 344 28.8780398530
reducing max timestep prior to age target 344 1.8770725904428196D+08
(age_target - star_age)/age_sigma 345 28.3180720497
reducing max timestep prior to age target 345 1.8406746832273674D+08
(age_target - star_age)/age_sigma 346 27.7693036024
reducing max timestep prior to age target 346 1.8050047341562271D+08
(age_target - star_age)/age_sigma 347 27.2315105241
reducing max timestep prior to age target 347 1.7700481840664959D+08
(age_target - star_age)/age_sigma 348 26.7044733074
reducing max timestep prior to age target 348 1.7357907649785709D+08
(age_target - star_age)/age_sigma 349 26.1879768350
reducing max timestep prior to age target 349 1.7022184942724037D+08
350 7.195491 5718.087 0.010023 0.010023 1.000000 1.000000 0.352787 0.005001 0.240246 -1.517079 519 1
6.5172E+00 7.195491 0.013189 -42.555489 -1.606597 -99.000000 0.000000 0.628603 0.007996 0.015863 0.118395 5
4.4026E+09 2.181278 0.010075 -99.000000 -99.000000 -6.921815 0.000000 0.000020 0.001892 0.018610 0.000E+00 max_dt
rel_E_err 1.9844165067420794D-13
log_rel_run_E_err -10.2693449182757366
(age_target - star_age)/age_sigma 350 25.6818102920
reducing max timestep prior to age target 350 1.6693176689803505D+08
save LOGS/profile8.data for model 350
save photos/x350 for model 350
(age_target - star_age)/age_sigma 351 25.1857670799
reducing max timestep prior to age target 351 1.6370748601941490D+08
(age_target - star_age)/age_sigma 352 24.6996447321
reducing max timestep prior to age target 352 1.6054769075836658D+08
(age_target - star_age)/age_sigma 353 24.2232448312
reducing max timestep prior to age target 353 1.5745109140253925D+08
(age_target - star_age)/age_sigma 354 23.7563729283
reducing max timestep prior to age target 354 1.5441642403382874D+08
(age_target - star_age)/age_sigma 355 23.2988384635
reducing max timestep prior to age target 355 1.5144245001249313D+08
(age_target - star_age)/age_sigma 356 22.8504546879
reducing max timestep prior to age target 356 1.4852795547158337D+08
(age_target - star_age)/age_sigma 358 21.9716224879
reducing max timestep prior to age target 358 1.4281554617140007D+08
(age_target - star_age)/age_sigma 359 21.5409947099
reducing max timestep prior to age target 359 1.4001646561431026D+08
360 7.196072 5718.544 0.011116 0.011116 1.000000 1.000000 0.350099 0.005013 0.240056 -1.515635 519 1
6.4382E+00 7.196072 0.013666 -42.518610 -1.604694 -99.000000 0.000000 0.631290 0.007985 0.015852 0.118763 5
4.4322E+09 2.183591 0.011168 -15.352530 -99.000000 -6.922612 0.000000 0.000020 0.001893 0.018611 0.000E+00 max_dt
rel_E_err 1.9143271737062471D-13
log_rel_run_E_err -10.2546353857741313
(age_target - star_age)/age_sigma 360 21.1189794874
reducing max timestep prior to age target 360 1.3727336666836262D+08
(age_target - star_age)/age_sigma 361 20.7054045694
reducing max timestep prior to age target 361 1.3458512970133305D+08
(age_target - star_age)/age_sigma 362 20.3001011498
reducing max timestep prior to age target 362 1.3195065747364521D+08
(age_target - star_age)/age_sigma 363 19.9029037985
reducing max timestep prior to age target 363 1.2936887469051075D+08
(age_target - star_age)/age_sigma 364 19.5136503943
reducing max timestep prior to age target 364 1.2683872756303883D+08
(age_target - star_age)/age_sigma 365 19.1321820582
reducing max timestep prior to age target 365 1.2435918337811565D+08
(age_target - star_age)/age_sigma 366 18.7583430888
reducing max timestep prior to age target 366 1.2192923007689190D+08
(age_target - star_age)/age_sigma 367 18.3919808987
reducing max timestep prior to age target 367 1.1954787584169197D+08
(age_target - star_age)/age_sigma 368 18.0329459525
reducing max timestep prior to age target 368 1.1721414869119644D+08
(age_target - star_age)/age_sigma 369 17.6810917052
reducing max timestep prior to age target 369 1.1492709608371162D+08
370 7.196555 5718.919 0.012024 0.012024 1.000000 1.000000 0.347868 0.005023 0.239898 -1.514432 519 1
6.3505E+00 7.196555 0.014063 -42.487948 -1.603108 -99.000000 0.000000 0.633520 0.007975 0.015842 0.119071 5
4.4568E+09 2.185516 0.012076 -15.352530 -99.000000 -6.923273 0.000000 0.000020 0.001893 0.018612 0.000E+00 max_dt
rel_E_err 1.8041191925479165D-13
log_rel_run_E_err -10.2406181432790966
(age_target - star_age)/age_sigma 370 17.3362745428
reducing max timestep prior to age target 370 1.1268578452837563D+08
(age_target - star_age)/age_sigma 371 16.9983537237
reducing max timestep prior to age target 371 1.1048929920414639D+08
(age_target - star_age)/age_sigma 372 16.6671913210
reducing max timestep prior to age target 372 1.0833674358640194D+08
(age_target - star_age)/age_sigma 373 16.3426521663
reducing max timestep prior to age target 373 1.0622723908101177D+08
(age_target - star_age)/age_sigma 374 16.0246037947
reducing max timestep prior to age target 374 1.0415992466573048D+08
(age_target - star_age)/age_sigma 375 15.7129163906
reducing max timestep prior to age target 375 1.0213395653875351D+08
(age_target - star_age)/age_sigma 376 15.4074627345
reducing max timestep prior to age target 376 1.0014850777431679D+08
(age_target - star_age)/age_sigma 377 15.1081181516
reducing max timestep prior to age target 377 9.8202767985169411D+07
(age_target - star_age)/age_sigma 378 14.8147604603
reducing max timestep prior to age target 378 9.6295942991804123D+07
(age_target - star_age)/age_sigma 379 14.5272699228
reducing max timestep prior to age target 379 9.4427254498306274D+07
380 7.196951 5719.223 0.012767 0.012767 1.000000 1.000000 0.346042 0.005031 0.239770 -1.513445 519 1
6.2628E+00 7.196951 0.014388 -42.462837 -1.601806 -99.000000 0.000000 0.635345 0.007967 0.015835 0.119325 5
4.4769E+09 2.187094 0.012818 -99.000000 -99.000000 -6.923813 0.000000 0.000020 0.001893 0.018613 0.000E+00 max_dt
rel_E_err 1.9392945767053866D-13
log_rel_run_E_err -10.2270451312597999
(age_target - star_age)/age_sigma 380 14.2455291961
reducing max timestep prior to age target 380 9.2595939774678230D+07
(age_target - star_age)/age_sigma 381 13.9694232839
reducing max timestep prior to age target 381 9.0801251345523834D+07
(age_target - star_age)/age_sigma 382 13.6988394900
reducing max timestep prior to age target 382 8.9042456684951782D+07
(age_target - star_age)/age_sigma 383 13.4336673719
reducing max timestep prior to age target 383 8.7318837917591095D+07
(age_target - star_age)/age_sigma 384 13.1737986962
reducing max timestep prior to age target 384 8.5629691525577545D+07
(age_target - star_age)/age_sigma 385 12.9191273941
reducing max timestep prior to age target 385 8.3974328061404228D+07
(age_target - star_age)/age_sigma 386 12.6695495179
reducing max timestep prior to age target 386 8.2352071866514206D+07
(age_target - star_age)/age_sigma 387 12.4249631993
reducing max timestep prior to age target 387 8.0762260795521736D+07
(age_target - star_age)/age_sigma 388 12.1852686071
reducing max timestep prior to age target 388 7.9204245945949554D+07
(age_target - star_age)/age_sigma 389 11.9503679067
reducing max timestep prior to age target 389 7.7677391393368721D+07
390 7.197275 5719.470 0.013374 0.013374 1.000000 1.000000 0.344548 0.005038 0.239665 -1.512636 519 1
6.1750E+00 7.197275 0.014654 -42.442279 -1.600738 -99.000000 0.000000 0.636838 0.007960 0.015828 0.119533 5
4.4933E+09 2.188386 0.013425 -15.653560 -99.000000 -6.924255 0.000000 0.000020 0.001893 0.018614 0.000E+00 max_dt
rel_E_err 1.7107597384888550D-13
log_rel_run_E_err -10.2140179719926998
(age_target - star_age)/age_sigma 390 11.7201652203
reducing max timestep prior to age target 390 7.6181073931839943D+07
(age_target - star_age)/age_sigma 391 11.4945665876
reducing max timestep prior to age target 391 7.4714682819540977D+07
(age_target - star_age)/age_sigma 392 11.2734799276
reducing max timestep prior to age target 392 7.3277619529488564D+07
(age_target - star_age)/age_sigma 394 10.8401500740
reducing max timestep prior to age target 394 7.0460975480986595D+07
(age_target - star_age)/age_sigma 395 10.6278184457
reducing max timestep prior to age target 395 6.9080819897219658D+07
(age_target - star_age)/age_sigma 396 10.4197334500
reducing max timestep prior to age target 396 6.7728267425127983D+07
(age_target - star_age)/age_sigma 397 10.2158101542
reducing max timestep prior to age target 397 6.6402766002479553D+07
(age_target - star_age)/age_sigma 398 10.0159653244
reducing max timestep prior to age target 398 6.5103774608283043D+07
(age_target - star_age)/age_sigma 399 9.8201173911
reducing max timestep prior to age target 399 6.3830763041971207D+07
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
400 7.197544 5719.674 0.013878 0.013878 1.000000 1.000000 0.343310 0.005043 0.239578 -1.511964 519 1
6.0961E+00 7.197544 0.014875 -42.425221 -1.599850 -99.000000 0.000000 0.638076 0.007955 0.015823 0.119707 5
4.5069E+09 2.189460 0.013929 -15.653560 -99.000000 -6.924621 0.000000 0.000020 0.001894 0.018614 0.000E+00 max_dt
rel_E_err 1.9242162719089093D-13
log_rel_run_E_err -10.2011808511651871
(age_target - star_age)/age_sigma 400 9.6281864165
reducing max timestep prior to age target 400 6.2583211706984520D+07
save LOGS/profile9.data for model 400
save photos/x400 for model 400
(age_target - star_age)/age_sigma 401 9.4400940613
reducing max timestep prior to age target 401 6.1360611398697853D+07
(age_target - star_age)/age_sigma 402 9.2557635533
reducing max timestep prior to age target 402 6.0162463096577644D+07
(age_target - star_age)/age_sigma 403 9.0751196555
reducing max timestep prior to age target 403 5.8988277760499001D+07
(age_target - star_age)/age_sigma 404 8.8980886356
reducing max timestep prior to age target 404 5.7837576131141663D+07
(age_target - star_age)/age_sigma 405 8.7245982361
reducing max timestep prior to age target 405 5.6709888534372330D+07
(age_target - star_age)/age_sigma 406 8.5545776445
reducing max timestep prior to age target 406 5.5604754689538002D+07
(age_target - star_age)/age_sigma 407 8.3879574649
reducing max timestep prior to age target 407 5.4521723521600723D+07
(age_target - star_age)/age_sigma 408 8.2246696888
reducing max timestep prior to age target 408 5.3460352977022171D+07
(age_target - star_age)/age_sigma 409 8.0646476682
reducing max timestep prior to age target 409 5.2420209843334198D+07
410 7.197766 5719.840 0.014293 0.014293 1.000000 1.000000 0.342291 0.005048 0.239507 -1.511410 519 1
6.0083E+00 7.197766 0.015057 -42.411176 -1.599118 -99.000000 0.000000 0.639094 0.007950 0.015819 0.119850 3
4.5181E+09 2.190344 0.014343 -99.000000 -99.000000 -6.924922 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt
rel_E_err 1.8839407501665072D-13
log_rel_run_E_err -10.1887074233819348
(age_target - star_age)/age_sigma 410 7.9078260880
reducing max timestep prior to age target 410 5.1400869572320938D+07
(age_target - star_age)/age_sigma 411 7.7541409395
reducing max timestep prior to age target 411 5.0401916106727600D+07
(age_target - star_age)/age_sigma 412 7.6035294939
reducing max timestep prior to age target 412 4.9422941710447311D+07
(age_target - star_age)/age_sigma 413 7.4559302772
reducing max timestep prior to age target 413 4.8463546802091599D+07
(age_target - star_age)/age_sigma 414 7.3112830449
reducing max timestep prior to age target 414 4.7523339791903496D+07
(age_target - star_age)/age_sigma 415 7.1695287572
reducing max timestep prior to age target 415 4.6601936921918869D+07
(age_target - star_age)/age_sigma 416 7.0306095553
reducing max timestep prior to age target 416 4.5698962109333992D+07
(age_target - star_age)/age_sigma 417 6.8944687374
reducing max timestep prior to age target 417 4.4814046793000221D+07
(age_target - star_age)/age_sigma 418 6.7610507358
reducing max timestep prior to age target 418 4.3946829782993317D+07
(age_target - star_age)/age_sigma 419 6.6303010943
reducing max timestep prior to age target 419 4.3096957113186836D+07
420 7.197948 5719.975 0.014632 0.014632 1.000000 1.000000 0.341458 0.005052 0.239449 -1.510956 519 1
5.9206E+00 7.197948 0.015206 -42.399687 -1.598519 -99.000000 0.000000 0.639927 0.007946 0.015815 0.119968 3
4.5272E+09 2.191068 0.014682 -99.000000 -99.000000 -6.925168 0.000000 0.000020 0.001894 0.018615 0.000E+00 max_dt
rel_E_err 1.8140870438359699D-13
log_rel_run_E_err -10.1764317622310383
(age_target - star_age)/age_sigma 420 6.5021664457
reducing max timestep prior to age target 420 4.2264081896776199D+07
(age_target - star_age)/age_sigma 421 6.3765944900
reducing max timestep prior to age target 421 4.1447864184694290D+07
(age_target - star_age)/age_sigma 422 6.2535339734
reducing max timestep prior to age target 422 4.0647970826853752D+07
(age_target - star_age)/age_sigma 423 6.1329346671
reducing max timestep prior to age target 423 3.9864075336170197D+07
(age_target - star_age)/age_sigma 424 6.0147473470
reducing max timestep prior to age target 424 3.9095857755299568D+07
(age_target - star_age)/age_sigma 425 5.8989237732
reducing max timestep prior to age target 425 3.8343004526046753D+07
(age_target - star_age)/age_sigma 426 5.7854166710
reducing max timestep prior to age target 426 3.7605208361379623D+07
(age_target - star_age)/age_sigma 428 5.5629427506
reducing max timestep prior to age target 428 3.6159127878630638D+07
(age_target - star_age)/age_sigma 429 5.4539305296
reducing max timestep prior to age target 429 3.5450548442083359D+07
430 7.198097 5720.086 0.014910 0.014910 1.000000 1.000000 0.340773 0.005055 0.239401 -1.510583 519 1
5.8416E+00 7.198097 0.015328 -42.390238 -1.598026 -99.000000 0.000000 0.640612 0.007943 0.015813 0.120064 3
4.5347E+09 2.191663 0.014960 -99.000000 -99.000000 -6.925370 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt
rel_E_err 1.8626506567731239D-13
log_rel_run_E_err -10.1646615512726211
(age_target - star_age)/age_sigma 430 5.3470985530
reducing max timestep prior to age target 430 3.4756140594267845D+07
(age_target - star_age)/age_sigma 431 5.2424032159
reducing max timestep prior to age target 431 3.4075620903408051D+07
(age_target - star_age)/age_sigma 432 5.1398017856
reducing max timestep prior to age target 432 3.3408711606365204D+07
(age_target - star_age)/age_sigma 433 5.0392523839
reducing max timestep prior to age target 433 3.2755140495264053D+07
(age_target - star_age)/age_sigma 434 4.9404435136
remaining steps and years until age target 434 50 3.2112882838494301D+07
(age_target - star_age)/age_sigma 435 4.8416346433
remaining steps and years until age target 435 49 3.1470625181724548D+07
(age_target - star_age)/age_sigma 436 4.7428257731
remaining steps and years until age target 436 48 3.0828367524954796D+07
(age_target - star_age)/age_sigma 437 4.6440169028
remaining steps and years until age target 437 47 3.0186109868185043D+07
(age_target - star_age)/age_sigma 438 4.5452080325
reducing max timestep prior to age target 438 2.9543852211414337D+07
(age_target - star_age)/age_sigma 439 4.4463991623
remaining steps and years until age target 439 45 2.8901594554644585D+07
440 7.198226 5720.182 0.015151 0.015151 1.000000 1.000000 0.340180 0.005058 0.239359 -1.510260 519 1
5.8077E+00 7.198226 0.015434 -42.382055 -1.597598 -99.000000 0.000000 0.641205 0.007940 0.015810 0.120148 3
4.5412E+09 2.192179 0.015201 -99.000000 -99.000000 -6.925545 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt
rel_E_err 1.8583655007102421D-13
log_rel_run_E_err -10.1531797407651503
(age_target - star_age)/age_sigma 440 4.3475902920
remaining steps and years until age target 440 44 2.8259336897874832D+07
(age_target - star_age)/age_sigma 441 4.2487814217
remaining steps and years until age target 441 43 2.7617079241105080D+07
(age_target - star_age)/age_sigma 442 4.1499725514
remaining steps and years until age target 442 42 2.6974821584335327D+07
(age_target - star_age)/age_sigma 443 4.0511636812
remaining steps and years until age target 443 41 2.6332563927565575D+07
(age_target - star_age)/age_sigma 444 3.9523548109
remaining steps and years until age target 444 40 2.5690306270795822D+07
(age_target - star_age)/age_sigma 445 3.8535459406
remaining steps and years until age target 445 39 2.5048048614026070D+07
(age_target - star_age)/age_sigma 446 3.7547370703
remaining steps and years until age target 446 38 2.4405790957256317D+07
(age_target - star_age)/age_sigma 447 3.6559282001
remaining steps and years until age target 447 37 2.3763533300486565D+07
(age_target - star_age)/age_sigma 448 3.5571193298
remaining steps and years until age target 448 36 2.3121275643716812D+07
(age_target - star_age)/age_sigma 449 3.4583104595
reducing max timestep prior to age target 449 2.2479017986946106D+07
450 7.198354 5720.277 0.015390 0.015390 1.000000 1.000000 0.339593 0.005061 0.239319 -1.509940 519 1
5.8077E+00 7.198354 0.015539 -42.373960 -1.597175 -99.000000 0.000000 0.641791 0.007937 0.015808 0.120232 3
4.5477E+09 2.192689 0.015440 -99.000000 -99.000000 -6.925718 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt
rel_E_err 1.7526036930811448D-13
log_rel_run_E_err -10.1422514506732035
(age_target - star_age)/age_sigma 450 3.3595015893
remaining steps and years until age target 450 34 2.1836760330176353D+07
save LOGS/profile10.data for model 450
save photos/x450 for model 450
(age_target - star_age)/age_sigma 451 3.2606927190
remaining steps and years until age target 451 33 2.1194502673406601D+07
(age_target - star_age)/age_sigma 452 3.1618838487
remaining steps and years until age target 452 32 2.0552245016636848D+07
(age_target - star_age)/age_sigma 453 3.0630749784
remaining steps and years until age target 453 31 1.9909987359867096D+07
(age_target - star_age)/age_sigma 454 2.9642661082
remaining steps and years until age target 454 30 1.9267729703097343D+07
(age_target - star_age)/age_sigma 455 2.8654572379
remaining steps and years until age target 455 29 1.8625472046327591D+07
(age_target - star_age)/age_sigma 456 2.7666483676
remaining steps and years until age target 456 28 1.7983214389557838D+07
(age_target - star_age)/age_sigma 457 2.6678394974
remaining steps and years until age target 457 27 1.7340956732788086D+07
(age_target - star_age)/age_sigma 458 2.5690306271
remaining steps and years until age target 458 26 1.6698699076018333D+07
(age_target - star_age)/age_sigma 459 2.4702217568
remaining steps and years until age target 459 25 1.6056441419248581D+07
460 7.198483 5720.372 0.015629 0.015629 1.000000 1.000000 0.339006 0.005064 0.239278 -1.509619 519 1
5.8077E+00 7.198483 0.015644 -42.365859 -1.596751 -99.000000 0.000000 0.642377 0.007935 0.015805 0.120315 3
4.5541E+09 2.193200 0.015678 -99.000000 -99.000000 -6.925891 0.000000 0.000020 0.001894 0.018616 0.000E+00 max_dt
rel_E_err 1.8413413409691154D-13
log_rel_run_E_err -10.1313733022522428
(age_target - star_age)/age_sigma 460 2.3714128865
reducing max timestep prior to age target 460 1.5414183762477875D+07
(age_target - star_age)/age_sigma 461 2.2726040163
remaining steps and years until age target 461 23 1.4771926105708122D+07
(age_target - star_age)/age_sigma 462 2.1737951460
remaining steps and years until age target 462 22 1.4129668448938370D+07
(age_target - star_age)/age_sigma 463 2.0749862757
remaining steps and years until age target 463 21 1.3487410792168617D+07
(age_target - star_age)/age_sigma 464 1.9761774054
remaining steps and years until age target 464 20 1.2845153135398865D+07
(age_target - star_age)/age_sigma 465 1.8773685352
remaining steps and years until age target 465 19 1.2202895478629112D+07
(age_target - star_age)/age_sigma 466 1.7785596649
remaining steps and years until age target 466 18 1.1560637821859360D+07
(age_target - star_age)/age_sigma 467 1.6797507946
remaining steps and years until age target 467 17 1.0918380165089607D+07
(age_target - star_age)/age_sigma 468 1.5809419244
remaining steps and years until age target 468 16 1.0276122508319855D+07
(age_target - star_age)/age_sigma 469 1.4821330541
remaining steps and years until age target 469 15 9.6338648515501022D+06
470 7.198611 5720.466 0.015867 0.015867 1.000000 1.000000 0.338420 0.005067 0.239237 -1.509298 519 1
5.8077E+00 7.198611 0.015749 -42.357754 -1.596327 -99.000000 0.000000 0.642964 0.007932 0.015803 0.120398 3
4.5605E+09 2.193711 0.015917 -99.000000 -99.000000 -6.926064 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt
rel_E_err 1.7672964600411361D-13
log_rel_run_E_err -10.1208416153438066
(age_target - star_age)/age_sigma 470 1.3833241838
reducing max timestep prior to age target 470 8.9916071947793961D+06
(age_target - star_age)/age_sigma 471 1.2845153135
remaining steps and years until age target 471 13 8.3493495380096436D+06
(age_target - star_age)/age_sigma 472 1.1857064433
remaining steps and years until age target 472 12 7.7070918812398911D+06
(age_target - star_age)/age_sigma 473 1.0868975730
remaining steps and years until age target 473 11 7.0648342244701385D+06
(age_target - star_age)/age_sigma 474 0.9880887027
remaining steps and years until age target 474 10 6.4225765677003860D+06
(age_target - star_age)/age_sigma 475 0.8892798325
remaining steps and years until age target 475 9 5.7803189109306335D+06
(age_target - star_age)/age_sigma 476 0.7904709622
remaining steps and years until age target 476 8 5.1380612541608810D+06
(age_target - star_age)/age_sigma 477 0.6916620919
reducing max timestep prior to age target 477 4.4958035973901749D+06
(age_target - star_age)/age_sigma 478 0.5928532216
remaining steps and years until age target 478 6 3.8535459406204224D+06
(age_target - star_age)/age_sigma 479 0.4940443514
remaining steps and years until age target 479 5 3.2112882838506699D+06
480 7.198739 5720.560 0.016106 0.016106 1.000000 1.000000 0.337832 0.005069 0.239196 -1.508977 519 1
5.8077E+00 7.198739 0.015854 -42.349642 -1.595902 -99.000000 0.000000 0.643551 0.007929 0.015800 0.120482 3
4.5669E+09 2.194223 0.016156 -15.653560 -99.000000 -6.926238 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt
rel_E_err 1.7503321607702169D-13
log_rel_run_E_err -10.1105196112101314
(age_target - star_age)/age_sigma 480 0.3952354811
reducing max timestep prior to age target 480 2.5690306270799637D+06
model saved to final.mod
save photos/x480 for model 480
(age_target - star_age)/age_sigma 481 0.2964266108
remaining steps and years until age target 481 3 1.9267729703102112D+06
(age_target - star_age)/age_sigma 482 0.1976177405
remaining steps and years until age target 482 2 1.2845153135404587D+06
(age_target - star_age)/age_sigma 483 0.0988088703
remaining steps and years until age target 483 1 6.4225765677070618D+05
chi^2 combined, chi^2 seismo, chi^2 spectro 484 334180.49 0.00 334180.49
save outputs/best.mod 484
save outputs/best.profile for model 484
save LOGS/profile11.data for model 484
have reached age_target
save LOGS/profile11.data for model 484
solver retries 7
varcontrol dt limit 244
max increase dt limit 3215
lgTeff dt limit 1
lgRho_cntr dt limit 110
model saved to final.mod
save photos/x484 for model 484
chi^2 combined, chi^2 seismo, chi^2 spectro 484 334180.49 0.00 334180.49
have reached age_target
runtime (minutes), retries, steps 2.63 1 484
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
484 7.198791 5720.598 0.016202 0.016202 1.000000 1.000000 0.337598 0.005070 0.239180 -1.508848 519 1
5.8077E+00 7.198791 0.015896 -42.346396 -1.595732 -99.000000 0.000000 0.643786 0.007928 0.015799 0.120516 3
4.5695E+09 2.194428 0.016251 -99.000000 -99.000000 -6.926307 0.000000 0.000020 0.001894 0.018617 0.000E+00 max_dt
rel_E_err 1.7228305084514184D-13
log_rel_run_E_err -10.1065431677387103
Teff 5720.5979558238
radius 1.0372797593
radius_obs 1.0000000000
radius_sigma 0.0010000000
radius chi2term 1389.7804563554
M_H -0.0339365458
M_H_obs 0.0000000000
M_H_sigma 0.0010000000
M_H chi2term 1151.6891397699
log_R 0.0158959035
delta_nu 134.0243181616
nu_max 2873.5532959072
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 334180.4898653751
model number 484
save best model results to outputs/sample_0006.data
current set of sample results
1 2 3 4 5 6 7 8
samples version_number compiler build MESA_SDK_version math_backend date search_type
6 "2b91b1c" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20250328" "newuoa"
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first
5 3.3333875998557796E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615174300E+03 1.0010042019475052E+00 3.9078811628111155E-03 4.3590053504746377E-04 1.4131272100398294E+02 3.1134409186000375E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557796E+05 0 0 0 0 0 0 0 4 3.3337679267851455E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721916E+03 1.0114129281998994E+00 3.5086385890206696E-04 4.9285006214149557E-03 1.3913658568072677E+02 3.0234851123038447E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851455E+05 0 0 0 0 0 0 0 1 3.3351283960191312E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383768001E+03 1.0231407131234531E+00 -1.7395981942482778E-03 9.9353665865919549E-03 1.3680762272705550E+02 2.9640776267827341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191312E+05 0 0 0 0 0 0 0 3 3.3365606602482282E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368150E+03 1.0099970103007425E+00 2.9466215561476317E-02 4.3200882263932762E-03 1.3947582155333515E+02 3.0536692076805812E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482282E+05 0 0 0 0 0 0 0 6 3.3418048986537510E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558238105E+03 1.0372797593387533E+00 -3.3936545784300866E-02 1.5895903497352776E-02 1.3402431816161675E+02 2.8735532959072380E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986537510E+05 0 0 0 0 0 0 0 2 3.3468070564325654E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272448E+03 1.0622782375814297E+00 -1.2788199776380623E-02 2.6238284372332898E-02 1.2938435093833220E+02 2.7294282123453299E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325654E+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
retry: max residual jumped -- give up in solver 12
20 5.954492 4508.650 -12.856143 -12.856143 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1
-5.0000E+00 5.954372 0.953665 -99.000000 -14.254009 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3
1.9000E-04 -1.867396 1.478209 -99.000000 -99.000000 -7.711974 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
30 5.954493 4437.392 -12.856146 -12.856146 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1
-5.0000E+00 5.954373 0.953547 -99.000000 -14.254012 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3
2.9000E-04 -1.867395 1.450299 -99.000000 -99.000000 -7.688853 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
40 5.954493 4395.006 -12.856149 -12.856149 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1
-5.0000E+00 5.954373 0.953466 -99.000000 -14.254015 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 2
3.9000E-04 -1.867395 1.433464 -99.000000 -99.000000 -7.673886 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
50 5.954493 4365.734 -12.856150 -12.856150 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395713 405 1
-5.0000E+00 5.954373 0.953404 -99.000000 -14.254016 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 2
4.9000E-04 -1.867394 1.421732 -99.000000 -99.000000 -7.662920 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
finished doing relax num steps
relax_to_radiative_core
10 5.954494 4209.890 -12.856154 -12.856154 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395712 404 0
-2.2907E+00 5.954375 0.952872 -99.000000 -14.254020 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071366 3
1.0230E-02 -1.867393 1.357521 -28.597850 -99.000000 -7.592268 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 10 4.1079075966530088D-01
20 5.954580 4200.768 -12.855014 -12.855014 1.000000 1.000000 0.700000 0.001010 0.280000 -6.395708 398 0
7.1957E-01 5.954461 0.952700 -99.000000 -14.252880 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071359 3
1.0486E+01 -1.867261 1.353409 -99.000000 -99.000000 -7.587154 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 20 2.0551261879831187D-01
30 5.998587 4232.305 -12.245106 -12.245106 1.000000 1.000000 0.700000 0.001010 0.279998 -6.254381 400 0
3.5106E+00 5.998587 0.907991 -99.000000 -13.642971 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071090 3
8.2653E+03 -1.739804 1.276983 -99.000000 -99.000000 -7.548787 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 30 7.8128502084551243D-08
40 6.176890 4345.309 -9.876653 -9.876653 1.000000 1.000000 0.700000 0.001010 0.279974 -5.636384 415 0
4.0834E+00 6.176890 0.723486 -99.000000 -11.274513 -99.000000 0.000000 0.280000 0.009381 0.019979 0.071111 3
8.3688E+04 -1.204496 0.953749 -99.000000 -99.000000 -7.376680 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 40 7.8128502084551243D-08
50 6.354381 4407.728 -7.760152 -7.760152 1.000000 1.000000 0.700000 0.001010 0.279846 -5.021288 433 0
4.5919E+00 6.354381 0.541601 -99.000000 -9.157996 -99.000000 0.000000 0.280000 0.009381 0.019875 0.071124 3
3.2732E+05 -0.671785 0.614754 -99.000000 -99.000000 -7.180197 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 50 7.8128502528640453D-08
60 6.528261 4414.469 -5.889952 -5.889952 1.000000 1.000000 0.700000 0.001010 0.279599 -4.418069 444 0
5.1085E+00 6.528261 0.364555 -99.000000 -7.287755 -99.000000 0.000000 0.280000 0.009381 0.019715 0.071140 3
1.1232E+06 -0.149864 0.263317 -21.373130 -99.000000 -6.942595 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 60 7.8128502528640453D-08
finished relax to begin radiative core 65 4.6175039866541649D-03
finished doing relax_to_radiative_core
set_initial_number_retries 0
set_uniform_initial_composition
initial_h1 7.1127416933281451D-01
initial_h2 0.0000000000000000D+00
initial_he3 2.7000000000000002D-05
initial_he4 2.6997300000000002D-01
metals GS98
relax_initial_mass to new_mass 1.0000000000000000D+00
net name basic.net
do_element_diffusion T
tau_base 4.1164335019999998D-01
atm_option: T_tau
set_cumulative_energy_error 0.0000000000000000D+00
kap_option gs98
kap_CO_option gs98_co
kap_lowT_option lowT_fa05_gs98
OMP_NUM_THREADS 4
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
(age_target - star_age)/age_sigma 1 703.0000000000
begin reducing max timestep prior to age target 1 4.5694999999999905D+09
save LOGS/profile1.data for model 1
(age_target - star_age)/age_sigma 2 703.0000000000
reducing max timestep prior to age target 2 4.5694999999999781D+09
(age_target - star_age)/age_sigma 3 703.0000000000
reducing max timestep prior to age target 3 4.5694999999999638D+09
(age_target - star_age)/age_sigma 4 703.0000000000
reducing max timestep prior to age target 4 4.5694999999999466D+09
(age_target - star_age)/age_sigma 5 703.0000000000
reducing max timestep prior to age target 5 4.5694999999999256D+09
(age_target - star_age)/age_sigma 6 703.0000000000
reducing max timestep prior to age target 6 4.5694999999999008D+09
10 6.603638 4258.237 -5.093765 -5.093765 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0
-4.2874E+00 6.603638 0.282481 -99.000000 -6.491527 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 10
2.5959E-04 0.094908 0.036574 -20.293948 -99.000000 -6.892820 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6825461690115786D-13
log_rel_run_E_err -11.5747843851482788
20 6.603639 4271.121 -5.093767 -5.093767 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0
-3.4956E+00 6.603639 0.282496 -99.000000 -6.491529 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 6
1.8669E-03 0.094909 0.041853 -99.000000 -99.000000 -6.898925 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.7059745191452651D-13
log_rel_run_E_err -11.2778184799088930
30 6.603639 4272.706 -5.093770 -5.093770 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0
-2.7037E+00 6.603639 0.282503 -99.000000 -6.491531 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 5
1.1819E-02 0.094910 0.042512 -20.470040 -99.000000 -6.899678 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.4970717204005746D-13
log_rel_run_E_err -11.1040159563438543
40 6.603640 4272.185 -5.093769 -5.093769 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0
-1.9119E+00 6.603640 0.282505 -99.000000 -6.491530 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 4
7.3439E-02 0.094911 0.042304 -99.000000 -99.000000 -6.899436 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6766890499386660D-13
log_rel_run_E_err -10.9773273511187046
50 6.603641 4270.681 -5.093769 -5.093769 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106724 455 0
-1.1201E+00 6.603641 0.282494 -99.000000 -6.491530 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 5
4.5497E-01 0.094912 0.041670 -99.000000 -99.000000 -6.898716 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6747365240442376D-13
log_rel_run_E_err -10.8818118542707207
save LOGS/profile2.data for model 50
save photos/x050 for model 50
60 6.603641 4270.341 -5.093767 -5.093767 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106723 455 0
-3.2831E-01 6.603641 0.282490 -99.000000 -6.491529 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 2
2.8173E+00 0.094912 0.041525 -20.771070 -99.000000 -6.898552 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.7528299810022779D-13
log_rel_run_E_err -10.8008421239752188
70 6.603642 4270.341 -5.093758 -5.093758 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106719 455 0
4.6351E-01 6.603642 0.282489 -99.000000 -6.491519 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 2
1.7444E+01 0.094916 0.041522 -20.169010 -99.000000 -6.898550 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6962051845377737D-13
log_rel_run_E_err -10.7338389226571582
80 6.603647 4270.336 -5.093699 -5.093699 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106693 455 0
1.2553E+00 6.603647 0.282483 -99.000000 -6.491460 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071567 2
1.0801E+02 0.094935 0.041508 -99.000000 -99.000000 -6.898540 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6336916086707559D-13
log_rel_run_E_err -10.6761841537666911
90 6.603680 4270.304 -5.093334 -5.093334 1.000000 1.000000 0.711274 0.000946 0.270000 -4.106537 455 0
2.0471E+00 6.603680 0.282445 -99.000000 -6.491095 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071568 2
6.6878E+02 0.095052 0.041420 -99.000000 -99.000000 -6.898480 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6002688470157884D-13
log_rel_run_E_err -10.6243096028614303
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
100 6.603886 4270.111 -5.091077 -5.091077 1.000000 1.000000 0.711274 0.000946 0.270000 -4.105566 455 0
2.8389E+00 6.603886 0.282211 -99.000000 -6.488838 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071574 2
4.1409E+03 0.095780 0.040873 -99.000000 -99.000000 -6.898105 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6788211223743142D-13
log_rel_run_E_err -10.5786891027421923
save LOGS/profile3.data for model 100
save photos/x100 for model 100
110 6.605150 4268.920 -5.077208 -5.077208 1.000000 1.000000 0.711274 0.000946 0.270000 -4.099575 455 0
3.6308E+00 6.605150 0.280771 -99.000000 -6.474968 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071612 2
2.5639E+04 0.100263 0.037508 -99.000000 -99.000000 -6.895796 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5277580271187257D-13
log_rel_run_E_err -10.5390721574538695
120 6.612583 4261.690 -4.995139 -4.995139 1.000000 1.000000 0.711274 0.000946 0.270000 -4.063318 455 0
4.4226E+00 6.612583 0.272223 -99.000000 -6.392893 -99.000000 0.000000 0.270000 0.008783 0.018726 0.071861 3
1.5875E+05 0.127071 0.017467 -99.000000 -99.000000 -6.881990 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.5189805118103247D-13
log_rel_run_E_err -10.4502439391175486
130 6.647753 4225.090 -4.593909 -4.593909 1.000000 1.000000 0.711274 0.000946 0.270000 -3.862795 456 0
5.2144E+00 6.647753 0.229805 -99.000000 -5.991631 -99.000000 0.000000 0.270000 0.008783 0.018726 0.073748 4
9.8295E+05 0.266359 -0.082353 -99.000000 -99.000000 -6.812456 0.000000 0.003227 0.001952 0.018726 0.000E+00 max increase
rel_E_err 2.6293319331196106D-13
log_rel_run_E_err -10.2129463861957284
140 6.737769 4163.635 -3.546037 -3.546037 1.000000 1.000000 0.711271 0.000946 0.269999 -3.157255 468 0
5.8473E+00 6.737769 0.122170 -99.000000 -4.943573 -99.000000 0.000000 0.270003 0.008783 0.018726 0.083913 4
5.3364E+06 0.704641 -0.323075 -99.000000 -99.000000 -6.648059 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr
rel_E_err 2.4217136387891280D-13
log_rel_run_E_err -10.3152714667098220
150 6.850974 4420.780 -2.405050 -2.405050 1.000000 1.000000 0.711260 0.000946 0.269994 -2.304356 475 0
5.9705E+00 6.850974 0.048399 -99.000000 -3.801968 -99.000000 0.000000 0.270014 0.008783 0.018725 0.097270 4
1.4207E+07 1.236697 -0.366512 -99.000000 -99.000000 -6.683620 0.000000 0.003227 0.001952 0.018726 0.000E+00 lgRho_cntr
rel_E_err 2.0157800814376137D-13
log_rel_run_E_err -10.4260903417785880
save LOGS/profile4.data for model 150
save photos/x150 for model 150
160 7.022221 5230.783 -1.002648 -1.002648 1.000000 1.000000 0.711132 0.000950 0.269974 -1.564994 494 0
6.0680E+00 7.022221 0.026297 -53.174313 -2.413170 -99.000000 0.000000 0.270140 0.008783 0.018724 0.101058 5
2.5986E+07 1.800086 -0.118445 -16.556650 -99.000000 -6.831622 0.000000 0.003224 0.001952 0.018728 0.000E+00 lgRho_cntr
rel_E_err 1.6469715622174812D-13
log_rel_run_E_err -10.5640349719237374
(age_target - star_age)/age_sigma 169 694.5561817881
reducing max timestep prior to age target 169 4.5146151816229305D+09
170 7.130550 5501.166 -0.162808 -0.162808 1.000000 1.000000 0.709233 0.003028 0.269745 -1.723621 513 0
6.8546E+00 7.130550 -0.039346 -47.236887 -1.757790 -99.000000 0.000000 0.271738 0.008785 0.018710 0.085093 5
6.2039E+07 1.898711 -0.162179 -99.000000 -99.000000 -6.802502 0.000000 0.001444 0.001953 0.019028 0.000E+00 max increase
rel_E_err 1.8820936727082530D-13
log_rel_run_E_err -10.6094929296651674
(age_target - star_age)/age_sigma 176 680.3396089155
reducing max timestep prior to age target 176 4.4222074579505014D+09
(age_target - star_age)/age_sigma 179 665.9833853409
reducing max timestep prior to age target 179 4.3288920047159081D+09
180 7.130808 5520.265 -0.145811 -0.145811 1.000000 1.000000 0.694456 0.004706 0.268187 -1.672531 503 0
7.6464E+00 7.130808 -0.034144 -47.111917 -1.800948 -99.000000 0.000000 0.286247 0.008797 0.018614 0.087471 10
2.8491E+08 1.923767 -0.145755 -99.000000 -99.000000 -6.812086 0.000000 0.000014 0.001956 0.019297 0.000E+00 max increase
rel_E_err 1.7128583777130877D-13
log_rel_run_E_err -10.5807392724045410
(age_target - star_age)/age_sigma 181 650.9898085439
reducing max timestep prior to age target 181 4.2314337555355153D+09
(age_target - star_age)/age_sigma 183 629.3990579563
reducing max timestep prior to age target 183 4.0910938767157488D+09
(age_target - star_age)/age_sigma 184 617.0801140986
reducing max timestep prior to age target 184 4.0110207416407695D+09
(age_target - star_age)/age_sigma 185 605.0075491180
reducing max timestep prior to age target 185 3.9325490692672896D+09
(age_target - star_age)/age_sigma 186 593.1764354371
reducing max timestep prior to age target 186 3.8556468303412790D+09
(age_target - star_age)/age_sigma 187 581.5819440298
reducing max timestep prior to age target 187 3.7802826361937890D+09
(age_target - star_age)/age_sigma 188 570.2193424507
reducing max timestep prior to age target 188 3.7064257259292488D+09
(age_target - star_age)/age_sigma 189 559.0839929031
reducing max timestep prior to age target 189 3.6340459538699989D+09
190 7.139030 5537.897 -0.124041 -0.124041 1.000000 1.000000 0.640281 0.004747 0.263209 -1.651533 508 0
7.8508E+00 7.139030 -0.026021 -46.438995 -1.787153 -99.000000 0.000000 0.340321 0.008827 0.018301 0.091036 10
1.0064E+09 1.958707 -0.123969 -99.000000 -99.000000 -6.825176 0.000000 0.000014 0.001966 0.019398 0.000E+00 max_dt
rel_E_err 2.0068101651979734D-13
log_rel_run_E_err -10.5518124166929042
(age_target - star_age)/age_sigma 190 548.1713503465
reducing max timestep prior to age target 190 3.5631137772519345D+09
(age_target - star_age)/age_sigma 191 537.4769606410
reducing max timestep prior to age target 191 3.4936002441662312D+09
(age_target - star_age)/age_sigma 192 526.9964587296
reducing max timestep prior to age target 192 3.4254769817422419D+09
(age_target - star_age)/age_sigma 193 516.7255668564
reducing max timestep prior to age target 193 3.3587161845667324D+09
(age_target - star_age)/age_sigma 194 506.6600928207
reducing max timestep prior to age target 194 3.2932906033347335D+09
(age_target - star_age)/age_sigma 195 496.7959282657
reducing max timestep prior to age target 195 3.2291735337273741D+09
(age_target - star_age)/age_sigma 196 487.1290470019
reducing max timestep prior to age target 196 3.1663388055121622D+09
(age_target - star_age)/age_sigma 197 477.6555033633
reducing max timestep prior to age target 197 3.1047607718612547D+09
(age_target - star_age)/age_sigma 198 468.3714305974
reducing max timestep prior to age target 198 3.0444142988833647D+09
(age_target - star_age)/age_sigma 199 459.2730392869
reducing max timestep prior to age target 199 2.9852747553650331D+09
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
200 7.146960 5552.417 -0.105361 -0.105361 1.000000 1.000000 0.591623 0.004789 0.258886 -1.632730 509 0
7.7631E+00 7.146960 -0.018954 -45.830936 -1.766283 -99.000000 0.000000 0.388894 0.008845 0.018030 0.094541 10
1.6422E+09 1.991285 -0.105286 -99.000000 -99.000000 -6.837011 0.000000 0.000015 0.001974 0.019484 0.000E+00 max_dt
rel_E_err 1.8312001248019852D-13
log_rel_run_E_err -10.5250104541916976
(age_target - star_age)/age_sigma 200 450.3566158026
reducing max timestep prior to age target 200 2.9273180027170677D+09
save LOGS/profile5.data for model 200
save photos/x200 for model 200
(age_target - star_age)/age_sigma 201 441.6185207880
reducing max timestep prior to age target 201 2.8705203851220617D+09
(age_target - star_age)/age_sigma 202 433.0551876737
reducing max timestep prior to age target 202 2.8148587198789558D+09
(age_target - star_age)/age_sigma 203 424.6631212216
reducing max timestep prior to age target 203 2.7603102879407125D+09
(age_target - star_age)/age_sigma 204 416.4388960987
reducing max timestep prior to age target 204 2.7068528246412334D+09
(age_target - star_age)/age_sigma 205 408.3791554781
reducing max timestep prior to age target 205 2.6544645106077442D+09
(age_target - star_age)/age_sigma 206 400.4806096700
reducing max timestep prior to age target 206 2.6031239628549252D+09
(age_target - star_age)/age_sigma 207 392.7400347780
reducing max timestep prior to age target 207 2.5528102260571618D+09
(age_target - star_age)/age_sigma 208 385.1542713839
reducing max timestep prior to age target 208 2.5035027639953537D+09
(age_target - star_age)/age_sigma 209 377.7202232577
reducing max timestep prior to age target 209 2.4551814511747823D+09
210 7.153874 5563.861 -0.089697 -0.089697 1.000000 1.000000 0.551257 0.004830 0.255442 -1.616129 511 0
7.6754E+00 7.153874 -0.012911 -45.321830 -1.746942 -99.000000 0.000000 0.429192 0.008850 0.017815 0.097740 10
2.1617E+09 2.019512 -0.089623 -99.000000 -99.000000 -6.847136 0.000000 0.000016 0.001981 0.019551 0.000E+00 max_dt
rel_E_err 1.8799238923626387D-13
log_rel_run_E_err -10.4992169218518399
(age_target - star_age)/age_sigma 210 370.4348560939
reducing max timestep prior to age target 210 2.4078265646106219D+09
(age_target - star_age)/age_sigma 211 363.2951962735
reducing max timestep prior to age target 211 2.3614187757777452D+09
(age_target - star_age)/age_sigma 212 356.2983296495
reducing max timestep prior to age target 212 2.3159391427215257D+09
(age_target - star_age)/age_sigma 213 349.4414003579
reducing max timestep prior to age target 213 2.2713691023264303D+09
(age_target - star_age)/age_sigma 215 336.0018189465
reducing max timestep prior to age target 215 2.1840118231520443D+09
(age_target - star_age)/age_sigma 216 329.4164240549
reducing max timestep prior to age target 216 2.1412067563565955D+09
(age_target - star_age)/age_sigma 217 322.9627370611
reducing max timestep prior to age target 217 2.0992577908970551D+09
(age_target - star_age)/age_sigma 218 316.6381238072
reducing max timestep prior to age target 218 2.0581478047467055D+09
(age_target - star_age)/age_sigma 219 310.4400028184
reducing max timestep prior to age target 219 2.0178600183193631D+09
220 7.159911 5573.060 -0.076385 -0.076385 1.000000 1.000000 0.517430 0.004871 0.252519 -1.601458 512 0
7.5964E+00 7.159911 -0.007690 -44.890505 -1.729536 -99.000000 0.000000 0.462966 0.008844 0.017631 0.100655 10
2.5911E+09 2.044059 -0.076312 -99.000000 -99.000000 -6.855837 0.000000 0.000016 0.001987 0.019604 0.000E+00 max_dt
rel_E_err 1.9529240349447361D-13
log_rel_run_E_err -10.4742513576161684
(age_target - star_age)/age_sigma 220 304.3658442493
reducing max timestep prior to age target 220 1.9783779876205673D+09
(age_target - star_age)/age_sigma 221 298.4131688517
reducing max timestep prior to age target 221 1.9396855975357475D+09
(age_target - star_age)/age_sigma 222 292.5795469619
reducing max timestep prior to age target 222 1.9017670552526245D+09
(age_target - star_age)/age_sigma 223 286.8625975100
reducing max timestep prior to age target 223 1.8646068838151636D+09
(age_target - star_age)/age_sigma 224 281.2599870471
reducing max timestep prior to age target 224 1.8281899158064523D+09
(age_target - star_age)/age_sigma 225 275.7694287935
reducing max timestep prior to age target 225 1.7925012871579146D+09
(age_target - star_age)/age_sigma 226 270.3886817050
reducing max timestep prior to age target 226 1.7575264310823479D+09
(age_target - star_age)/age_sigma 227 265.1155495582
reducing max timestep prior to age target 227 1.7232510721282926D+09
(age_target - star_age)/age_sigma 228 259.9478800544
reducing max timestep prior to age target 228 1.6896612203533187D+09
(age_target - star_age)/age_sigma 229 254.8835639406
reducing max timestep prior to age target 229 1.6567431656138439D+09
230 7.165128 5580.365 -0.065151 -0.065151 1.000000 1.000000 0.489207 0.004912 0.250118 -1.588664 514 0
7.5087E+00 7.165128 -0.003212 -44.526397 -1.714182 -99.000000 0.000000 0.491147 0.008831 0.017479 0.103271 10
2.9450E+09 2.065203 -0.065081 -99.000000 -99.000000 -6.863227 0.000000 0.000017 0.001992 0.019646 0.000E+00 max_dt
rel_E_err 1.9060758492219522D-13
log_rel_run_E_err -10.4514354109692267
(age_target - star_age)/age_sigma 230 249.9205341491
reducing max timestep prior to age target 230 1.6244834719691586D+09
(age_target - star_age)/age_sigma 231 245.0567649534
reducing max timestep prior to age target 231 1.5928689721973672D+09
(age_target - star_age)/age_sigma 232 240.2902711417
reducing max timestep prior to age target 232 1.5618867624210114D+09
(age_target - star_age)/age_sigma 233 235.6191072062
reducing max timestep prior to age target 233 1.5315241968401833D+09
(age_target - star_age)/age_sigma 234 231.0413665494
reducing max timestep prior to age target 234 1.5017688825709710D+09
(age_target - star_age)/age_sigma 235 226.5551807057
reducing max timestep prior to age target 235 1.4726086745871434D+09
(age_target - star_age)/age_sigma 236 222.1587185789
reducing max timestep prior to age target 236 1.4440316707629919D+09
(age_target - star_age)/age_sigma 237 217.8501856947
reducing max timestep prior to age target 237 1.4160262070153236D+09
(age_target - star_age)/age_sigma 238 213.6278234681
reducing max timestep prior to age target 238 1.3885808525426092D+09
(age_target - star_age)/age_sigma 239 209.4899084861
reducing max timestep prior to age target 239 1.3616844051593485D+09
240 7.169559 5586.179 -0.055781 -0.055781 1.000000 1.000000 0.465889 0.004952 0.248138 -1.577733 516 0
7.4209E+00 7.169559 0.000567 -44.222291 -1.700900 -99.000000 0.000000 0.514432 0.008812 0.017353 0.105570 10
3.2342E+09 2.083107 -0.055712 -99.000000 -99.000000 -6.869407 0.000000 0.000017 0.001996 0.019679 0.000E+00 max_dt
rel_E_err 1.8257653639091828D-13
log_rel_run_E_err -10.4294455214478923
(age_target - star_age)/age_sigma 240 205.4347518037
reducing max timestep prior to age target 240 1.3353258867237535D+09
(age_target - star_age)/age_sigma 241 201.4606982549
reducing max timestep prior to age target 241 1.3094945386568699D+09
(age_target - star_age)/age_sigma 242 197.5661257771
reducing max timestep prior to age target 242 1.2841798175513239D+09
(age_target - star_age)/age_sigma 243 193.7494447489
reducing max timestep prior to age target 243 1.2593713908678889D+09
(age_target - star_age)/age_sigma 244 190.0090973412
reducing max timestep prior to age target 244 1.2350591327181230D+09
(age_target - star_age)/age_sigma 245 186.3435568817
reducing max timestep prior to age target 245 1.2112331197313523D+09
(age_target - star_age)/age_sigma 246 182.7513272314
reducing max timestep prior to age target 246 1.1878836270043173D+09
(age_target - star_age)/age_sigma 247 179.2309421741
reducing max timestep prior to age target 247 1.1650011241318226D+09
(age_target - star_age)/age_sigma 248 175.7809648180
reducing max timestep prior to age target 248 1.1425762713167772D+09
(age_target - star_age)/age_sigma 249 172.3999870089
reducing max timestep prior to age target 249 1.1205999155580335D+09
250 7.173298 5590.741 -0.048000 -0.048000 1.000000 1.000000 0.446651 0.004989 0.246565 -1.568453 518 0
7.3332E+00 7.173298 0.003748 -43.969168 -1.689524 -99.000000 0.000000 0.533645 0.008790 0.017252 0.107571 10
3.4704E+09 2.098185 -0.047933 -99.000000 -99.000000 -6.874560 0.000000 0.000018 0.001999 0.019704 0.000E+00 max_dt
rel_E_err 1.8555248716284855D-13
log_rel_run_E_err -10.4088532720246665
save LOGS/profile6.data for model 250
save photos/x250 for model 250
(age_target - star_age)/age_sigma 251 165.7732705032
reducing max timestep prior to age target 251 1.0775262582708955D+09
(age_target - star_age)/age_sigma 252 162.5261794154
reducing max timestep prior to age target 252 1.0564201662001982D+09
(age_target - star_age)/age_sigma 253 159.3440301494
reducing max timestep prior to age target 253 1.0357361959709144D+09
(age_target - star_age)/age_sigma 254 156.2255238686
reducing max timestep prior to age target 254 1.0154659051462164D+09
(age_target - star_age)/age_sigma 255 153.1693877135
reducing max timestep prior to age target 255 9.9560102013801241D+08
(age_target - star_age)/age_sigma 256 150.1743742815
reducing max timestep prior to age target 256 9.7613343282997227D+08
(age_target - star_age)/age_sigma 257 147.2392611182
reducing max timestep prior to age target 257 9.5705519726809359D+08
(age_target - star_age)/age_sigma 258 144.3628502181
reducing max timestep prior to age target 258 9.3835852641745186D+08
(age_target - star_age)/age_sigma 259 141.5439675360
reducing max timestep prior to age target 259 9.2003578898382282D+08
260 7.176502 5594.399 -0.041430 -0.041430 1.000000 1.000000 0.430473 0.005025 0.245281 -1.560459 516 0
7.2542E+00 7.176502 0.006463 -43.754680 -1.679662 -99.000000 0.000000 0.549803 0.008767 0.017170 0.109332 10
3.6674E+09 2.111089 -0.041366 -99.000000 -99.000000 -6.878917 0.000000 0.000018 0.002001 0.019724 0.000E+00 max_dt
rel_E_err 1.9605573290977969D-13
log_rel_run_E_err -10.3886235583534781
(age_target - star_age)/age_sigma 260 138.7814625075
reducing max timestep prior to age target 260 9.0207950629886675D+08
(age_target - star_age)/age_sigma 261 136.0742075796
reducing max timestep prior to age target 261 8.8448234926760960D+08
(age_target - star_age)/age_sigma 262 133.4210977503
reducing max timestep prior to age target 262 8.6723713537697792D+08
(age_target - star_age)/age_sigma 263 130.8210501176
reducing max timestep prior to age target 263 8.5033682576415873D+08
(age_target - star_age)/age_sigma 264 128.2730034375
reducing max timestep prior to age target 264 8.3377452234359550D+08
(age_target - star_age)/age_sigma 265 125.7759176910
reducing max timestep prior to age target 265 8.1754346499144411D+08
(age_target - star_age)/age_sigma 266 123.3287736594
reducing max timestep prior to age target 266 8.0163702878633547D+08
(age_target - star_age)/age_sigma 267 120.9305725085
reducing max timestep prior to age target 267 7.8604872130532932D+08
(age_target - star_age)/age_sigma 268 118.5803353806
reducing max timestep prior to age target 268 7.7077217997394276D+08
(age_target - star_age)/age_sigma 269 116.2771029953
reducing max timestep prior to age target 269 7.5580116946918392D+08
270 7.179182 5597.289 -0.036002 -0.036002 1.000000 1.000000 0.417156 0.005057 0.244249 -1.553744 517 0
7.1665E+00 7.179182 0.008728 -43.576903 -1.671330 -99.000000 0.000000 0.563105 0.008743 0.017104 0.110839 10
3.8284E+09 2.121872 -0.035939 -15.954590 -99.000000 -6.882528 0.000000 0.000018 0.002003 0.019739 0.000E+00 max_dt
rel_E_err 1.8113102926424032D-13
log_rel_run_E_err -10.3698801762209918
(age_target - star_age)/age_sigma 270 114.0199352576
reducing max timestep prior to age target 270 7.4112957917452097D+08
(age_target - star_age)/age_sigma 271 111.8079108747
reducing max timestep prior to age target 271 7.2675142068575048D+08
(age_target - star_age)/age_sigma 272 109.6401269795
reducing max timestep prior to age target 272 7.1266082536675596D+08
(age_target - star_age)/age_sigma 273 107.5156987622
reducing max timestep prior to age target 273 6.9885204195414114D+08
(age_target - star_age)/age_sigma 274 105.4337591092
reducing max timestep prior to age target 274 6.8531943420977879D+08
(age_target - star_age)/age_sigma 275 103.3934582493
reducing max timestep prior to age target 275 6.7205747862030315D+08
(age_target - star_age)/age_sigma 276 101.3939634066
reducing max timestep prior to age target 276 6.5906076214261723D+08
(age_target - star_age)/age_sigma 277 99.4344584607
reducing max timestep prior to age target 277 6.4632397999448538D+08
(age_target - star_age)/age_sigma 278 97.5141436137
reducing max timestep prior to age target 278 6.3384193348931599D+08
(age_target - star_age)/age_sigma 279 95.6322350637
reducing max timestep prior to age target 279 6.2160952791424942D+08
280 7.181416 5599.623 -0.031521 -0.031521 1.000000 1.000000 0.406205 0.005087 0.243347 -1.548134 517 0
7.0787E+00 7.181416 0.010606 -43.429795 -1.664325 -99.000000 0.000000 0.574044 0.008720 0.017047 0.112119 7
3.9599E+09 2.130852 -0.031459 -15.954590 -99.000000 -6.885506 0.000000 0.000019 0.002005 0.019751 0.000E+00 max_dt
rel_E_err 1.8164580582287316D-13
log_rel_run_E_err -10.3515084511672111
(age_target - star_age)/age_sigma 280 93.7879646847
reducing max timestep prior to age target 280 6.0962177045068455D+08
(age_target - star_age)/age_sigma 281 91.9805797133
reducing max timestep prior to age target 281 5.9787376813639116D+08
(age_target - star_age)/age_sigma 282 90.2093424413
reducing max timestep prior to age target 282 5.8636072586838341D+08
(age_target - star_age)/age_sigma 283 88.4735299147
reducing max timestep prior to age target 283 5.7507794444573593D+08
(age_target - star_age)/age_sigma 285 85.0713373627
reducing max timestep prior to age target 285 5.5296369285734749D+08
(age_target - star_age)/age_sigma 286 83.4042630122
reducing max timestep prior to age target 286 5.4212770957903671D+08
(age_target - star_age)/age_sigma 287 81.7705301487
reducing max timestep prior to age target 287 5.3150844596629238D+08
(age_target - star_age)/age_sigma 288 80.1694719424
reducing max timestep prior to age target 288 5.2110156762580299D+08
(age_target - star_age)/age_sigma 289 78.6004349003
reducing max timestep prior to age target 289 5.1090282685212374D+08
290 7.183295 5601.498 -0.027790 -0.027790 1.000000 1.000000 0.397102 0.005113 0.242614 -1.543411 517 0
6.9998E+00 7.183295 0.012180 -43.306879 -1.658400 -99.000000 0.000000 0.583137 0.008699 0.017000 0.113212 5
4.0686E+09 2.138393 -0.027729 -15.352530 -99.000000 -6.887990 0.000000 0.000019 0.002006 0.019760 0.000E+00 max_dt
rel_E_err 1.8645489508882310D-13
log_rel_run_E_err -10.3339587059012707
(age_target - star_age)/age_sigma 290 77.0627785991
reducing max timestep prior to age target 290 5.0090806089391756D+08
(age_target - star_age)/age_sigma 291 75.5558754238
reducing max timestep prior to age target 291 4.9111319025487566D+08
(age_target - star_age)/age_sigma 292 74.0791103121
reducing max timestep prior to age target 292 4.8151421702861452D+08
(age_target - star_age)/age_sigma 293 72.6318805026
reducing max timestep prior to age target 293 4.7210722326687860D+08
(age_target - star_age)/age_sigma 294 71.2135952893
reducing max timestep prior to age target 294 4.6288836938037729D+08
(age_target - star_age)/age_sigma 295 69.8236757802
reducing max timestep prior to age target 295 4.5385389257160616D+08
(age_target - star_age)/age_sigma 296 68.4615546614
reducing max timestep prior to age target 296 4.4500010529901028D+08
(age_target - star_age)/age_sigma 297 67.1266759649
reducing max timestep prior to age target 297 4.3632339377186632D+08
(age_target - star_age)/age_sigma 298 65.8184948423
reducing max timestep prior to age target 298 4.2782021647526550D+08
(age_target - star_age)/age_sigma 299 64.5364773422
reducing max timestep prior to age target 299 4.1948710272459650D+08
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
300 7.184863 5602.549 -0.024705 -0.024705 1.000000 1.000000 0.389565 0.005136 0.242019 -1.539462 516 0
6.9120E+00 7.184863 0.013559 -43.204742 -1.653431 -99.000000 0.000000 0.590667 0.008680 0.016962 0.114137 5
4.1582E+09 2.144684 -0.024646 -15.954590 -99.000000 -6.889989 0.000000 0.000019 0.002007 0.019768 0.000E+00 max_dt
rel_E_err 1.7953812807779814D-13
log_rel_run_E_err -10.3167769056513414
(age_target - star_age)/age_sigma 300 63.2801001921
reducing max timestep prior to age target 300 4.1132065124894094D+08
save LOGS/profile7.data for model 300
save photos/x300 for model 300
(age_target - star_age)/age_sigma 301 62.0488505850
reducing max timestep prior to age target 301 4.0331752880279875D+08
(age_target - star_age)/age_sigma 302 60.8422259701
reducing max timestep prior to age target 302 3.9547446880557919D+08
(age_target - star_age)/age_sigma 303 59.6597338474
reducing max timestep prior to age target 303 3.8778827000830364D+08
(age_target - star_age)/age_sigma 304 58.5008915672
reducing max timestep prior to age target 304 3.8025579518697405D+08
(age_target - star_age)/age_sigma 305 57.3652261326
reducing max timestep prior to age target 305 3.7287396986207056D+08
(age_target - star_age)/age_sigma 306 56.2522740067
reducing max timestep prior to age target 306 3.6563978104366589D+08
(age_target - star_age)/age_sigma 307 55.1615809233
reducing max timestep prior to age target 307 3.5855027600162840D+08
(age_target - star_age)/age_sigma 308 54.0927017016
reducing max timestep prior to age target 308 3.5160256106043243D+08
(age_target - star_age)/age_sigma 309 53.0452000643
reducing max timestep prior to age target 309 3.4479380041806030D+08
310 7.186161 5603.770 -0.022165 -0.022165 1.000000 1.000000 0.383383 0.005156 0.241538 -1.536206 516 0
6.8243E+00 7.186161 0.014639 -43.120620 -1.649300 -99.000000 0.000000 0.596844 0.008663 0.016931 0.114910 5
4.2314E+09 2.149875 -0.022107 -15.653560 -99.000000 -6.891679 0.000000 0.000019 0.002008 0.019773 0.000E+00 max_dt
rel_E_err 1.8587320056808146D-13
log_rel_run_E_err -10.3003252983026137
(age_target - star_age)/age_sigma 310 52.0186484598
reducing max timestep prior to age target 310 3.3812121498853540D+08
(age_target - star_age)/age_sigma 311 51.0126278873
reducing max timestep prior to age target 311 3.3158208126760101D+08
(age_target - star_age)/age_sigma 312 50.0267277263
reducing max timestep prior to age target 312 3.2517373022108555D+08
(age_target - star_age)/age_sigma 313 49.0605455685
reducing max timestep prior to age target 313 3.1889354619550037D+08
(age_target - star_age)/age_sigma 314 48.1136870539
reducing max timestep prior to age target 314 3.1273896585042667D+08
(age_target - star_age)/age_sigma 315 47.1857657096
reducing max timestep prior to age target 315 3.0670747711225462D+08
(age_target - star_age)/age_sigma 316 46.2764027921
reducing max timestep prior to age target 316 3.0079661814884567D+08
(age_target - star_age)/age_sigma 317 45.3852271330
reducing max timestep prior to age target 317 2.9500397636470509D+08
(age_target - star_age)/age_sigma 318 44.5118749871
reducing max timestep prior to age target 318 2.8932718741624689D+08
320 7.187233 5604.753 -0.020078 -0.020078 1.000000 1.000000 0.378305 0.005173 0.241147 -1.533519 516 0
6.7453E+00 7.187233 0.015530 -43.051321 -1.645873 -99.000000 0.000000 0.601917 0.008648 0.016906 0.115555 5
4.2913E+09 2.154159 -0.020021 -15.176439 -99.000000 -6.893067 0.000000 0.000019 0.002009 0.019778 0.000E+00 max_dt
rel_E_err 1.8197693653946322D-13
log_rel_run_E_err -10.2843463307500045
(age_target - star_age)/age_sigma 320 42.8001047811
reducing max timestep prior to age target 320 2.7820068107726955D+08
(age_target - star_age)/age_sigma 321 41.9613373802
reducing max timestep prior to age target 321 2.7274869297117138D+08
(age_target - star_age)/age_sigma 322 41.1393453273
reducing max timestep prior to age target 322 2.6740574462719440D+08
(age_target - star_age)/age_sigma 323 40.3337931154
reducing max timestep prior to age target 323 2.6216965525009632D+08
(age_target - star_age)/age_sigma 324 39.5443519478
reducing max timestep prior to age target 324 2.5703828766054153D+08
(age_target - star_age)/age_sigma 325 38.7706996035
reducing max timestep prior to age target 325 2.5200954742277718D+08
(age_target - star_age)/age_sigma 326 38.0125203061
reducing max timestep prior to age target 326 2.4708138198976898D+08
(age_target - star_age)/age_sigma 327 37.2695045947
reducing max timestep prior to age target 327 2.4225177986542034D+08
(age_target - star_age)/age_sigma 328 36.5413491975
reducing max timestep prior to age target 328 2.3751876978355789D+08
(age_target - star_age)/age_sigma 329 35.8277569082
reducing max timestep prior to age target 329 2.3288041990333366D+08
330 7.188132 5605.559 -0.018336 -0.018336 1.000000 1.000000 0.374068 0.005188 0.240823 -1.531267 516 0
6.6576E+00 7.188132 0.016276 -42.993347 -1.642991 -99.000000 0.000000 0.606150 0.008635 0.016886 0.116099 5
4.3412E+09 2.157749 -0.018279 -99.000000 -99.000000 -6.894226 0.000000 0.000020 0.002010 0.019782 0.000E+00 max_dt
rel_E_err 1.8427771510229336D-13
log_rel_run_E_err -10.2695886843441091
(age_target - star_age)/age_sigma 330 35.1284364647
reducing max timestep prior to age target 330 2.2833483702071381D+08
(age_target - star_age)/age_sigma 331 34.4431024301
reducing max timestep prior to age target 331 2.2388016579574585D+08
(age_target - star_age)/age_sigma 332 33.7714750762
reducing max timestep prior to age target 332 2.1951458799527740D+08
(age_target - star_age)/age_sigma 333 33.1132802694
reducing max timestep prior to age target 333 2.1523632175081825D+08
(age_target - star_age)/age_sigma 334 32.4682493587
reducing max timestep prior to age target 334 2.1104362083124828D+08
(age_target - star_age)/age_sigma 335 31.8361190662
reducing max timestep prior to age target 335 2.0693477393006992D+08
(age_target - star_age)/age_sigma 336 31.2166313795
reducing max timestep prior to age target 336 2.0290810396691608D+08
(age_target - star_age)/age_sigma 337 30.6095334466
reducing max timestep prior to age target 337 1.9896196740302372D+08
(age_target - star_age)/age_sigma 338 30.0145774724
reducing max timestep prior to age target 338 1.9509475357040977D+08
(age_target - star_age)/age_sigma 339 29.4315206176
reducing max timestep prior to age target 339 1.9130488401444817D+08
340 7.188871 5606.208 -0.016908 -0.016908 1.000000 1.000000 0.370598 0.005200 0.240561 -1.529417 516 0
6.5699E+00 7.188871 0.016889 -42.945772 -1.640614 -99.000000 0.000000 0.609617 0.008624 0.016869 0.116550 5
4.3819E+09 2.160699 -0.016852 -15.176439 -99.000000 -6.895175 0.000000 0.000020 0.002010 0.019785 0.000E+00 max_dt
rel_E_err 1.8402726011295848D-13
log_rel_run_E_err -10.2548859976732150
(age_target - star_age)/age_sigma 340 28.8601248999
reducing max timestep prior to age target 340 1.8759081184960556D+08
(age_target - star_age)/age_sigma 341 28.3001570966
reducing max timestep prior to age target 341 1.8395102112806034D+08
(age_target - star_age)/age_sigma 342 27.7513886494
reducing max timestep prior to age target 342 1.8038402622094631D+08
(age_target - star_age)/age_sigma 343 27.2135955711
reducing max timestep prior to age target 343 1.7688837121197319D+08
(age_target - star_age)/age_sigma 344 26.6865583543
reducing max timestep prior to age target 344 1.7346262930318069D+08
(age_target - star_age)/age_sigma 345 26.1700618819
reducing max timestep prior to age target 345 1.7010540223256397D+08
(age_target - star_age)/age_sigma 346 25.6638953390
reducing max timestep prior to age target 346 1.6681531970335865D+08
(age_target - star_age)/age_sigma 347 25.1678521269
reducing max timestep prior to age target 347 1.6359103882473850D+08
(age_target - star_age)/age_sigma 348 24.6817297790
reducing max timestep prior to age target 348 1.6043124356369019D+08
(age_target - star_age)/age_sigma 349 24.2053298781
reducing max timestep prior to age target 349 1.5733464420786285D+08
350 7.189479 5606.732 -0.015739 -0.015739 1.000000 1.000000 0.367757 0.005211 0.240347 -1.527897 516 0
6.4821E+00 7.189479 0.017392 -42.906760 -1.638658 -99.000000 0.000000 0.612456 0.008614 0.016855 0.116923 5
4.4152E+09 2.163121 -0.015684 -15.352530 -99.000000 -6.895951 0.000000 0.000020 0.002010 0.019787 0.000E+00 max_dt
rel_E_err 1.7227075714942039D-13
log_rel_run_E_err -10.2409263548330784
(age_target - star_age)/age_sigma 350 23.7384579753
reducing max timestep prior to age target 350 1.5429997683915234D+08
save LOGS/profile8.data for model 350
save photos/x350 for model 350
(age_target - star_age)/age_sigma 351 23.2809235104
reducing max timestep prior to age target 351 1.5132600281781673D+08
(age_target - star_age)/age_sigma 352 22.8325397349
reducing max timestep prior to age target 352 1.4841150827690697D+08
(age_target - star_age)/age_sigma 353 22.3931236349
reducing max timestep prior to age target 353 1.4555530362681484D+08
(age_target - star_age)/age_sigma 355 21.5318680789
reducing max timestep prior to age target 355 1.3995714251263523D+08
(age_target - star_age)/age_sigma 356 21.1098528564
reducing max timestep prior to age target 356 1.3721404356668758D+08
(age_target - star_age)/age_sigma 357 20.6962779384
reducing max timestep prior to age target 357 1.3452580659965897D+08
(age_target - star_age)/age_sigma 358 20.2909745188
reducing max timestep prior to age target 358 1.3189133437197018D+08
(age_target - star_age)/age_sigma 359 19.8937771675
reducing max timestep prior to age target 359 1.2930955158883572D+08
360 7.189983 5607.162 -0.014771 -0.014771 1.000000 1.000000 0.365405 0.005220 0.240170 -1.526636 516 0
6.4031E+00 7.189983 0.017809 -42.874414 -1.637031 -99.000000 0.000000 0.614806 0.008606 0.016844 0.117233 5
4.4427E+09 2.165131 -0.014716 -15.352530 -99.000000 -6.896595 0.000000 0.000020 0.002011 0.019789 0.000E+00 max_dt
rel_E_err 1.7267391869097392D-13
log_rel_run_E_err -10.2273775409622374
(age_target - star_age)/age_sigma 360 19.5045237633
reducing max timestep prior to age target 360 1.2677940446136379D+08
(age_target - star_age)/age_sigma 361 19.1230554271
reducing max timestep prior to age target 361 1.2429986027644157D+08
(age_target - star_age)/age_sigma 362 18.7492164577
reducing max timestep prior to age target 362 1.2186990697521782D+08
(age_target - star_age)/age_sigma 363 18.3828542677
reducing max timestep prior to age target 363 1.1948855274001789D+08
(age_target - star_age)/age_sigma 364 18.0238193215
reducing max timestep prior to age target 364 1.1715482558952236D+08
(age_target - star_age)/age_sigma 365 17.6719650742
reducing max timestep prior to age target 365 1.1486777298203659D+08
(age_target - star_age)/age_sigma 366 17.3271479118
reducing max timestep prior to age target 366 1.1262646142670059D+08
(age_target - star_age)/age_sigma 367 16.9892270927
reducing max timestep prior to age target 367 1.1042997610247135D+08
(age_target - star_age)/age_sigma 368 16.6580646900
reducing max timestep prior to age target 368 1.0827742048472691D+08
(age_target - star_age)/age_sigma 369 16.3335255353
reducing max timestep prior to age target 369 1.0616791597933769D+08
370 7.190400 5607.513 -0.013972 -0.013972 1.000000 1.000000 0.363464 0.005227 0.240026 -1.525592 516 0
6.3154E+00 7.190400 0.018154 -42.847698 -1.635684 -99.000000 0.000000 0.616746 0.008600 0.016835 0.117491 5
4.4654E+09 2.166793 -0.013918 -99.000000 -99.000000 -6.897125 0.000000 0.000020 0.002011 0.019790 0.000E+00 max_dt
rel_E_err 1.9929912025615124D-13
log_rel_run_E_err -10.2142058573923435
(age_target - star_age)/age_sigma 370 16.0154771637
reducing max timestep prior to age target 370 1.0410060156405544D+08
(age_target - star_age)/age_sigma 371 15.7037897596
reducing max timestep prior to age target 371 1.0207463343707943D+08
(age_target - star_age)/age_sigma 372 15.3983361035
reducing max timestep prior to age target 372 1.0008918467264271D+08
(age_target - star_age)/age_sigma 373 15.0989915205
reducing max timestep prior to age target 373 9.8143444883494377D+07
(age_target - star_age)/age_sigma 374 14.8056338293
reducing max timestep prior to age target 374 9.6236619890129089D+07
(age_target - star_age)/age_sigma 375 14.5181432918
reducing max timestep prior to age target 375 9.4367931396631241D+07
(age_target - star_age)/age_sigma 376 14.2364025651
reducing max timestep prior to age target 376 9.2536616673004150D+07
(age_target - star_age)/age_sigma 377 13.9602966529
reducing max timestep prior to age target 377 9.0741928243848801D+07
(age_target - star_age)/age_sigma 378 13.6897128590
reducing max timestep prior to age target 378 8.8983133583276749D+07
(age_target - star_age)/age_sigma 379 13.4245407409
reducing max timestep prior to age target 379 8.7259514815916061D+07
380 7.190742 5607.802 -0.013318 -0.013318 1.000000 1.000000 0.361877 0.005233 0.239900 -1.524736 516 0
6.2277E+00 7.190742 0.018436 -42.825822 -1.634578 -99.000000 0.000000 0.618332 0.008594 0.016827 0.117703 5
4.4839E+09 2.168155 -0.013264 -99.000000 -99.000000 -6.897561 0.000000 0.000020 0.002011 0.019792 0.000E+00 max_dt
rel_E_err 1.8627992946139517D-13
log_rel_run_E_err -10.2011539906067430
(age_target - star_age)/age_sigma 380 13.1646720652
reducing max timestep prior to age target 380 8.5570368423902512D+07
(age_target - star_age)/age_sigma 381 12.9100007630
reducing max timestep prior to age target 381 8.3915004959729195D+07
(age_target - star_age)/age_sigma 382 12.6604228869
reducing max timestep prior to age target 382 8.2292748764839172D+07
(age_target - star_age)/age_sigma 383 12.4158365683
reducing max timestep prior to age target 383 8.0702937693847656D+07
(age_target - star_age)/age_sigma 384 12.1761419760
reducing max timestep prior to age target 384 7.9144922844275475D+07
(age_target - star_age)/age_sigma 385 11.9412412756
reducing max timestep prior to age target 385 7.7618068291694641D+07
(age_target - star_age)/age_sigma 386 11.7110385893
reducing max timestep prior to age target 386 7.6121750830164909D+07
(age_target - star_age)/age_sigma 387 11.4854399566
reducing max timestep prior to age target 387 7.4655359717866898D+07
(age_target - star_age)/age_sigma 388 11.2643532966
reducing max timestep prior to age target 388 7.3218296427814484D+07
(age_target - star_age)/age_sigma 389 11.0476883698
reducing max timestep prior to age target 389 7.1809974403562546D+07
390 7.191022 5608.035 -0.012783 -0.012783 1.000000 1.000000 0.360578 0.005238 0.239796 -1.524035 516 0
6.1399E+00 7.191022 0.018667 -42.807918 -1.633672 -99.000000 0.000000 0.619629 0.008589 0.016820 0.117877 5
4.4991E+09 2.169270 -0.012729 -15.653560 -99.000000 -6.897918 0.000000 0.000020 0.002011 0.019793 0.000E+00 max_dt
rel_E_err 2.0480763308721500D-13
log_rel_run_E_err -10.1887194377300965
(age_target - star_age)/age_sigma 391 10.6230251132
reducing max timestep prior to age target 391 6.9049663236029625D+07
(age_target - star_age)/age_sigma 392 10.4149401175
reducing max timestep prior to age target 392 6.7697110763938904D+07
(age_target - star_age)/age_sigma 393 10.2110168217
reducing max timestep prior to age target 393 6.6371609341289520D+07
(age_target - star_age)/age_sigma 394 10.0111719919
reducing max timestep prior to age target 394 6.5072617947093010D+07
(age_target - star_age)/age_sigma 395 9.8153240586
reducing max timestep prior to age target 395 6.3799606380781174D+07
(age_target - star_age)/age_sigma 396 9.6233930840
reducing max timestep prior to age target 396 6.2552055045794487D+07
(age_target - star_age)/age_sigma 397 9.4353007288
reducing max timestep prior to age target 397 6.1329454737507820D+07
(age_target - star_age)/age_sigma 398 9.2509702208
reducing max timestep prior to age target 398 6.0131306435387611D+07
(age_target - star_age)/age_sigma 399 9.0703263230
reducing max timestep prior to age target 399 5.8957121099308968D+07
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
400 7.191256 5608.229 -0.012337 -0.012337 1.000000 1.000000 0.359495 0.005243 0.239709 -1.523450 516 0
6.0610E+00 7.191256 0.018860 -42.792971 -1.632914 -99.000000 0.000000 0.620712 0.008585 0.016815 0.118023 5
4.5117E+09 2.170201 -0.012283 -15.477469 -99.000000 -6.898215 0.000000 0.000020 0.002012 0.019793 0.000E+00 max_dt
rel_E_err 1.7858306054764149D-13
log_rel_run_E_err -10.1764300658817035
(age_target - star_age)/age_sigma 400 8.8932953031
reducing max timestep prior to age target 400 5.7806419469951630D+07
save LOGS/profile9.data for model 400
save photos/x400 for model 400
(age_target - star_age)/age_sigma 401 8.7198049036
reducing max timestep prior to age target 401 5.6678731873182297D+07
(age_target - star_age)/age_sigma 402 8.5497843121
reducing max timestep prior to age target 402 5.5573598028347969D+07
(age_target - star_age)/age_sigma 403 8.3831641324
reducing max timestep prior to age target 403 5.4490566860410690D+07
(age_target - star_age)/age_sigma 404 8.2198763563
reducing max timestep prior to age target 404 5.3429196315832138D+07
(age_target - star_age)/age_sigma 405 8.0598543357
reducing max timestep prior to age target 405 5.2389053182145119D+07
(age_target - star_age)/age_sigma 406 7.9030327556
reducing max timestep prior to age target 406 5.1369712911131859D+07
(age_target - star_age)/age_sigma 407 7.7493476070
reducing max timestep prior to age target 407 5.0370759445538521D+07
(age_target - star_age)/age_sigma 408 7.5987361614
reducing max timestep prior to age target 408 4.9391785049257278D+07
(age_target - star_age)/age_sigma 409 7.4511369448
reducing max timestep prior to age target 409 4.8432390140901566D+07
410 7.191447 5608.387 -0.011972 -0.011972 1.000000 1.000000 0.358609 0.005246 0.239639 -1.522971 516 0
5.9732E+00 7.191447 0.019018 -42.780743 -1.632293 -99.000000 0.000000 0.621597 0.008582 0.016810 0.118142 3
4.5220E+09 2.170964 -0.011918 -99.000000 -99.000000 -6.898458 0.000000 0.000020 0.002012 0.019794 0.000E+00 max_dt
rel_E_err 1.8944205520359065D-13
log_rel_run_E_err -10.1643821944611918
(age_target - star_age)/age_sigma 410 7.3064897124
reducing max timestep prior to age target 410 4.7492183130713463D+07
(age_target - star_age)/age_sigma 411 7.1647354247
reducing max timestep prior to age target 411 4.6570780260728836D+07
(age_target - star_age)/age_sigma 412 7.0258162228
reducing max timestep prior to age target 412 4.5667805448143959D+07
(age_target - star_age)/age_sigma 413 6.8896754049
reducing max timestep prior to age target 413 4.4782890131810188D+07
(age_target - star_age)/age_sigma 414 6.7562574034
reducing max timestep prior to age target 414 4.3915673121803284D+07
(age_target - star_age)/age_sigma 415 6.6255077618
reducing max timestep prior to age target 415 4.3065800451996803D+07
(age_target - star_age)/age_sigma 416 6.4973731132
reducing max timestep prior to age target 416 4.2232925235586166D+07
(age_target - star_age)/age_sigma 417 6.3718011575
reducing max timestep prior to age target 417 4.1416707523504257D+07
(age_target - star_age)/age_sigma 418 6.2487406409
reducing max timestep prior to age target 418 4.0616814165663719D+07
(age_target - star_age)/age_sigma 419 6.1281413346
reducing max timestep prior to age target 419 3.9832918674980164D+07
420 7.191604 5608.515 -0.011674 -0.011674 1.000000 1.000000 0.357885 0.005249 0.239581 -1.522579 516 0
5.8855E+00 7.191604 0.019148 -42.770744 -1.631785 -99.000000 0.000000 0.622320 0.008579 0.016807 0.118240 3
4.5304E+09 2.171587 -0.011620 -15.477469 -99.000000 -6.898657 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt
rel_E_err 1.8261558426139447D-13
log_rel_run_E_err -10.1528987769826866
(age_target - star_age)/age_sigma 420 6.0099540145
reducing max timestep prior to age target 420 3.9064701094110489D+07
(age_target - star_age)/age_sigma 421 5.8941304407
reducing max timestep prior to age target 421 3.8311847864856720D+07
(age_target - star_age)/age_sigma 422 5.7806233385
reducing max timestep prior to age target 422 3.7574051700189590D+07
(age_target - star_age)/age_sigma 423 5.6693863783
reducing max timestep prior to age target 423 3.6851011458815575D+07
(age_target - star_age)/age_sigma 425 5.4513619363
reducing max timestep prior to age target 425 3.5433852585721970D+07
(age_target - star_age)/age_sigma 426 5.3445299597
reducing max timestep prior to age target 426 3.4739444737905502D+07
(age_target - star_age)/age_sigma 427 5.2398346226
reducing max timestep prior to age target 427 3.4058925047045708D+07
(age_target - star_age)/age_sigma 428 5.1372331923
reducing max timestep prior to age target 428 3.3392015750002861D+07
(age_target - star_age)/age_sigma 429 5.0366837906
reducing max timestep prior to age target 429 3.2738444638901711D+07
430 7.191733 5608.622 -0.011427 -0.011427 1.000000 1.000000 0.357286 0.005252 0.239534 -1.522254 516 0
5.8075E+00 7.191733 0.019254 -42.762469 -1.631364 -99.000000 0.000000 0.622919 0.008577 0.016804 0.118321 3
4.5374E+09 2.172103 -0.011373 -99.000000 -99.000000 -6.898822 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt
rel_E_err 1.7302087274067491D-13
log_rel_run_E_err -10.1418180366032793
(age_target - star_age)/age_sigma 430 4.9379252849
remaining steps and years until age target 430 50 3.2096514351864815D+07
(age_target - star_age)/age_sigma 431 4.8391667792
reducing max timestep prior to age target 431 3.1454584064826965D+07
(age_target - star_age)/age_sigma 432 4.7404082735
remaining steps and years until age target 432 48 3.0812653777790070D+07
(age_target - star_age)/age_sigma 433 4.6416497678
reducing max timestep prior to age target 433 3.0170723490752220D+07
(age_target - star_age)/age_sigma 434 4.5428912621
remaining steps and years until age target 434 46 2.9528793203715324D+07
(age_target - star_age)/age_sigma 435 4.4441327564
remaining steps and years until age target 435 45 2.8886862916678429D+07
(age_target - star_age)/age_sigma 436 4.3453742507
reducing max timestep prior to age target 436 2.8244932629640579D+07
(age_target - star_age)/age_sigma 437 4.2466157450
remaining steps and years until age target 437 43 2.7603002342603683D+07
(age_target - star_age)/age_sigma 438 4.1478572393
reducing max timestep prior to age target 438 2.6961072055565834D+07
(age_target - star_age)/age_sigma 439 4.0490987336
remaining steps and years until age target 439 41 2.6319141768528938D+07
440 7.191853 5608.720 -0.011199 -0.011199 1.000000 1.000000 0.356734 0.005254 0.239490 -1.521955 516 0
5.8075E+00 7.191853 0.019353 -42.754841 -1.630975 -99.000000 0.000000 0.623470 0.008575 0.016801 0.118396 3
4.5438E+09 2.172579 -0.011146 -99.000000 -99.000000 -6.898973 0.000000 0.000020 0.002012 0.019795 0.000E+00 max_dt
rel_E_err 1.8984833321387007D-13
log_rel_run_E_err -10.1307386222863265
(age_target - star_age)/age_sigma 440 3.9503402279
remaining steps and years until age target 440 40 2.5677211481492043D+07
(age_target - star_age)/age_sigma 441 3.8515817222
reducing max timestep prior to age target 441 2.5035281194454193D+07
(age_target - star_age)/age_sigma 442 3.7528232165
remaining steps and years until age target 442 38 2.4393350907417297D+07
(age_target - star_age)/age_sigma 443 3.6540647108
reducing max timestep prior to age target 443 2.3751420620379448D+07
(age_target - star_age)/age_sigma 444 3.5553062051
remaining steps and years until age target 444 36 2.3109490333342552D+07
(age_target - star_age)/age_sigma 445 3.4565476994
reducing max timestep prior to age target 445 2.2467560046304703D+07
(age_target - star_age)/age_sigma 446 3.3577891937
remaining steps and years until age target 446 34 2.1825629759267807D+07
(age_target - star_age)/age_sigma 447 3.2590306880
remaining steps and years until age target 447 33 2.1183699472230911D+07
(age_target - star_age)/age_sigma 448 3.1602721823
reducing max timestep prior to age target 448 2.0541769185193062D+07
(age_target - star_age)/age_sigma 449 3.0615136766
remaining steps and years until age target 449 31 1.9899838898156166D+07
450 7.191973 5608.818 -0.010972 -0.010972 1.000000 1.000000 0.356182 0.005256 0.239446 -1.521655 516 0
5.8075E+00 7.191973 0.019451 -42.747208 -1.630587 -99.000000 0.000000 0.624022 0.008573 0.016798 0.118471 3
4.5502E+09 2.173056 -0.010918 -99.000000 -99.000000 -6.899124 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt
rel_E_err 1.8835102298880272D-13
log_rel_run_E_err -10.1201038251973578
(age_target - star_age)/age_sigma 450 2.9627551709
reducing max timestep prior to age target 450 1.9257908611118317D+07
save LOGS/profile10.data for model 450
save photos/x450 for model 450
(age_target - star_age)/age_sigma 451 2.8639966652
remaining steps and years until age target 451 29 1.8615978324081421D+07
(age_target - star_age)/age_sigma 452 2.7652381595
remaining steps and years until age target 452 28 1.7974048037044525D+07
(age_target - star_age)/age_sigma 453 2.6664796538
reducing max timestep prior to age target 453 1.7332117750006676D+07
(age_target - star_age)/age_sigma 454 2.5677211481
remaining steps and years until age target 454 26 1.6690187462969780D+07
(age_target - star_age)/age_sigma 455 2.4689626425
reducing max timestep prior to age target 455 1.6048257175931931D+07
(age_target - star_age)/age_sigma 456 2.3702041368
remaining steps and years until age target 456 24 1.5406326888895035D+07
(age_target - star_age)/age_sigma 457 2.2714456311
remaining steps and years until age target 457 23 1.4764396601858139D+07
(age_target - star_age)/age_sigma 458 2.1726871254
reducing max timestep prior to age target 458 1.4122466314820290D+07
(age_target - star_age)/age_sigma 459 2.0739286197
remaining steps and years until age target 459 21 1.3480536027783394D+07
460 7.192092 5608.917 -0.010744 -0.010744 1.000000 1.000000 0.355630 0.005258 0.239403 -1.521356 516 0
5.8075E+00 7.192092 0.019550 -42.739571 -1.630198 -99.000000 0.000000 0.624574 0.008571 0.016796 0.118546 3
4.5567E+09 2.173532 -0.010691 -99.000000 -99.000000 -6.899275 0.000000 0.000020 0.002012 0.019796 0.000E+00 max_dt
rel_E_err 1.9793294416628632D-13
log_rel_run_E_err -10.1098084371296562
(age_target - star_age)/age_sigma 460 1.9751701140
reducing max timestep prior to age target 460 1.2838605740745544D+07
(age_target - star_age)/age_sigma 461 1.8764116083
remaining steps and years until age target 461 19 1.2196675453708649D+07
(age_target - star_age)/age_sigma 462 1.7776531026
reducing max timestep prior to age target 462 1.1554745166670799D+07
(age_target - star_age)/age_sigma 463 1.6788945969
remaining steps and years until age target 463 17 1.0912814879633904D+07
(age_target - star_age)/age_sigma 464 1.5801360912
remaining steps and years until age target 464 16 1.0270884592597008D+07
(age_target - star_age)/age_sigma 465 1.4813775855
reducing max timestep prior to age target 465 9.6289543055591583D+06
(age_target - star_age)/age_sigma 466 1.3826190798
remaining steps and years until age target 466 14 8.9870240185222626D+06
(age_target - star_age)/age_sigma 467 1.2838605741
reducing max timestep prior to age target 467 8.3450937314844131D+06
(age_target - star_age)/age_sigma 468 1.1851020684
remaining steps and years until age target 468 12 7.7031634444475174D+06
(age_target - star_age)/age_sigma 469 1.0863435627
remaining steps and years until age target 469 11 7.0612331574106216D+06
470 7.192212 5609.015 -0.010517 -0.010517 1.000000 1.000000 0.355078 0.005261 0.239359 -1.521055 516 0
5.8075E+00 7.192212 0.019649 -42.731928 -1.629808 -99.000000 0.000000 0.625126 0.008569 0.016793 0.118622 3
4.5631E+09 2.174009 -0.010463 -99.000000 -99.000000 -6.899426 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt
rel_E_err 1.8663502439291812D-13
log_rel_run_E_err -10.0996775612480718
(age_target - star_age)/age_sigma 470 0.9875850570
reducing max timestep prior to age target 470 6.4193028703727722D+06
(age_target - star_age)/age_sigma 471 0.8888265513
remaining steps and years until age target 471 9 5.7773725833358765D+06
(age_target - star_age)/age_sigma 472 0.7900680456
reducing max timestep prior to age target 472 5.1354422962980270D+06
(age_target - star_age)/age_sigma 473 0.6913095399
remaining steps and years until age target 473 7 4.4935120092611313D+06
(age_target - star_age)/age_sigma 474 0.5925510342
reducing max timestep prior to age target 474 3.8515817222232819D+06
(age_target - star_age)/age_sigma 475 0.4937925285
remaining steps and years until age target 475 5 3.2096514351863861D+06
(age_target - star_age)/age_sigma 476 0.3950340228
remaining steps and years until age target 476 4 2.5677211481494904D+06
(age_target - star_age)/age_sigma 477 0.2962755171
reducing max timestep prior to age target 477 1.9257908611116409D+06
(age_target - star_age)/age_sigma 478 0.1975170114
remaining steps and years until age target 478 2 1.2838605740747452D+06
(age_target - star_age)/age_sigma 479 0.0987585057
480 7.192332 5609.112 -0.010289 -0.010289 1.000000 1.000000 0.354525 0.005263 0.239316 -1.520755 516 0
5.8075E+00 7.192332 0.019747 -42.724280 -1.629418 -99.000000 0.000000 0.625678 0.008566 0.016790 0.118697 3
4.5695E+09 2.174487 -0.010235 -99.000000 -99.000000 -6.899577 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt
rel_E_err 1.9216853046968397D-13
log_rel_run_E_err -10.0899181786281193
chi^2 combined, chi^2 seismo, chi^2 spectro 480 334070.39 0.00 334070.39
save outputs/best.mod 480
save outputs/best.profile for model 480
save LOGS/profile11.data for model 480
have reached age_target
save LOGS/profile11.data for model 480
solver retries 8
varcontrol dt limit 285
max increase dt limit 3748
lgTeff dt limit 1
lgRho_cntr dt limit 129
model saved to final.mod
save photos/x480 for model 480
chi^2 combined, chi^2 seismo, chi^2 spectro 480 334070.39 0.00 334070.39
have reached age_target
runtime (minutes), retries, steps 2.61 0 480
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
480 7.192332 5609.112 -0.010289 -0.010289 1.000000 1.000000 0.354525 0.005263 0.239316 -1.520755 516 0
5.8075E+00 7.192332 0.019747 -42.724280 -1.629418 -99.000000 0.000000 0.625678 0.008566 0.016790 0.118697 3
4.5695E+09 2.174487 -0.010235 -99.000000 -99.000000 -6.899577 0.000000 0.000020 0.002012 0.019797 0.000E+00 max_dt
rel_E_err 1.9216853046968397D-13
log_rel_run_E_err -10.0899181786281193
Teff 5609.1122770904
radius 1.0465194170
radius_obs 1.0000000000
radius_sigma 0.0010000000
radius chi2term 2164.0561576605
M_H -0.0068647778
M_H_obs 0.0000000000
M_H_sigma 0.0010000000
M_H chi2term 47.1251749297
log_R 0.0197472906
delta_nu 132.3456575915
nu_max 2850.9534669599
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 334070.3937775301
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 "2b91b1c" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20250328" "newuoa"
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first
5 3.3333875998557796E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615174300E+03 1.0010042019475052E+00 3.9078811628111155E-03 4.3590053504746377E-04 1.4131272100398294E+02 3.1134409186000375E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557796E+05 0 0 0 0 0 0 0 4 3.3337679267851455E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721916E+03 1.0114129281998994E+00 3.5086385890206696E-04 4.9285006214149557E-03 1.3913658568072677E+02 3.0234851123038447E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851455E+05 0 0 0 0 0 0 0 1 3.3351283960191312E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383768001E+03 1.0231407131234531E+00 -1.7395981942482778E-03 9.9353665865919549E-03 1.3680762272705550E+02 2.9640776267827341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191312E+05 0 0 0 0 0 0 0 3 3.3365606602482282E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368150E+03 1.0099970103007425E+00 2.9466215561476317E-02 4.3200882263932762E-03 1.3947582155333515E+02 3.0536692076805812E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482282E+05 0 0 0 0 0 0 0 7 3.3407039377753006E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770903785E+03 1.0465194169961369E+00 -6.8647778499885117E-03 1.9747290597349639E-02 1.3234565759149035E+02 2.8509534669598975E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377753006E+05 0 0 0 0 0 0 0 6 3.3418048986537510E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558238105E+03 1.0372797593387533E+00 -3.3936545784300866E-02 1.5895903497352776E-02 1.3402431816161675E+02 2.8735532959072380E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986537510E+05 0 0 0 0 0 0 0 2 3.3468070564325654E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272448E+03 1.0622782375814297E+00 -1.2788199776380623E-02 2.6238284372332898E-02 1.2938435093833220E+02 2.7294282123453299E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325654E+05 0 0 0 0 0 0 0
save_sample_results_to_file outputs/newuoa_results.data
next_param_to_try initial_Y 2 2.6392348767542945D-01 -3.0382561622852888D-01
next_param_to_try initial_FeH 3 6.8730947586043381D-02 1.4551579310072299D-01
next_param_to_try alpha 4 2.1110729980021574D+00 3.7024332667385784D-01
read inlist_fast_newuoa
enter astero_extras_controls
create pre-main-sequence model
species mass 8 1.0000000000000000D+00
relax_num_steps 50
retry: max residual jumped -- give up in solver 5
10 5.954485 4799.369 -12.856102 -12.856102 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 407 1
-5.0000E+00 5.954471 0.953997 -99.000000 -14.253968 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3
9.0000E-05 -1.867473 1.587425 -99.000000 -99.000000 -7.772722 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
20 5.954486 4648.242 -12.856112 -12.856112 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 407 1
-5.0000E+00 5.954472 0.953818 -99.000000 -14.253977 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3
1.9000E-04 -1.867471 1.531484 -28.597850 -99.000000 -7.748454 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
30 5.954486 4580.758 -12.856116 -12.856116 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 406 1
-5.0000E+00 5.954472 0.953709 -99.000000 -14.253982 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3
2.9000E-04 -1.867470 1.505862 -99.000000 -99.000000 -7.732374 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
40 5.954486 4539.647 -12.856119 -12.856119 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 404 1
-5.0000E+00 5.954472 0.953634 -99.000000 -14.253984 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3
3.9000E-04 -1.867470 1.490049 -99.000000 -99.000000 -7.721077 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
50 5.954487 4512.816 -12.856120 -12.856120 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 405 1
-5.0000E+00 5.954473 0.953577 -99.000000 -14.253986 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3
4.9000E-04 -1.867469 1.479638 -99.000000 -99.000000 -7.713133 0.000000 0.003447 0.002085 0.020000 0.000E+00 max_dt
finished doing relax num steps
relax_to_radiative_core
10 5.954488 4377.460 -12.856122 -12.856122 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396228 406 0
-2.2907E+00 5.954474 0.953126 -99.000000 -14.253988 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071345 3
1.0230E-02 -1.867468 1.425834 -99.000000 -99.000000 -7.667017 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 10 3.9257592546621145D-01
20 5.954588 4371.531 -12.854789 -12.854789 1.000000 1.000000 0.700000 0.001010 0.280000 -6.396224 403 0
7.1957E-01 5.954575 0.952967 -99.000000 -14.252655 -99.000000 0.000000 0.280000 0.009381 0.020000 0.071337 3
1.0486E+01 -1.867314 1.423162 -99.000000 -99.000000 -7.664598 0.000000 0.003447 0.002085 0.020000 0.000E+00 max increase
waiting for fully convective core to develop 20 1.9793106796623106D-01
30 6.002517 4405.397 -12.190210 -12.190210 1.000000 1.000000 0.700000 0.001010 0.279998 -6.240818 406 0
3.4668E+00 6.002517 0.904155 -99.000000 -13.588075 -99.000000 0.000000 0.280000 0.009381 0.019999 0.071089 3
7.8039E+03 -1.728030 1.338945 -99.000000 -99.000000 -7.618832 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 30 7.8128501029839370D-08
40 6.181571 4516.298 -9.818042 -9.818042 1.000000 1.000000 0.700000 0.001010 0.279975 -5.620212 418 0
4.0306E+00 6.181571 0.718823 -99.000000 -11.215901 -99.000000 0.000000 0.280000 0.009381 0.019980 0.071111 3
7.4513E+04 -1.190467 1.011470 -99.000000 -99.000000 -7.438737 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 40 7.8128500807794765D-08
50 6.359353 4568.611 -7.704148 -7.704148 1.000000 1.000000 0.700000 0.001010 0.279847 -5.004106 432 0
4.5448E+00 6.359353 0.536621 -99.000000 -9.101992 -99.000000 0.000000 0.280000 0.009381 0.019875 0.071123 3
2.9215E+05 -0.656886 0.667073 -99.000000 -99.000000 -7.239258 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 50 7.8128501918017790D-08
60 6.533370 4565.700 -5.837896 -5.837896 1.000000 1.000000 0.700000 0.001010 0.279522 -4.400368 449 0
5.0670E+00 6.533370 0.359428 -99.000000 -7.235696 -99.000000 0.000000 0.280000 0.009381 0.019663 0.071139 3
1.0121E+06 -0.134546 0.311579 -99.000000 -99.000000 -7.001327 0.000000 0.003447 0.002085 0.020000 0.000E+00 varcontrol
relative mass of radiative core still tiny 60 7.8128500807794765D-08
finished relax to begin radiative core 66 1.2817239981337547D-02
finished doing relax_to_radiative_core
set_initial_number_retries 0
set_uniform_initial_composition
initial_h1 7.1682140396451455D-01
initial_h2 0.0000000000000000D+00
initial_he3 2.6392348767542947D-05
initial_he4 2.6389709532666189D-01
metals GS98
relax_initial_mass to new_mass 1.0000000000000000D+00
net name basic.net
do_element_diffusion T
tau_base 4.1164335019999998D-01
atm_option: T_tau
set_cumulative_energy_error 0.0000000000000000D+00
kap_option gs98
kap_CO_option gs98_co
kap_lowT_option lowT_fa05_gs98
OMP_NUM_THREADS 4
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
(age_target - star_age)/age_sigma 1 703.0000000000
begin reducing max timestep prior to age target 1 4.5694999999999905D+09
save LOGS/profile1.data for model 1
(age_target - star_age)/age_sigma 2 703.0000000000
reducing max timestep prior to age target 2 4.5694999999999781D+09
(age_target - star_age)/age_sigma 3 703.0000000000
reducing max timestep prior to age target 3 4.5694999999999638D+09
(age_target - star_age)/age_sigma 4 703.0000000000
reducing max timestep prior to age target 4 4.5694999999999466D+09
(age_target - star_age)/age_sigma 5 703.0000000000
reducing max timestep prior to age target 5 4.5694999999999266D+09
(age_target - star_age)/age_sigma 6 703.0000000000
reducing max timestep prior to age target 6 4.5694999999999018D+09
10 6.620900 4310.490 -4.904162 -4.904162 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 0
-4.2919E+00 6.620900 0.262085 -99.000000 -6.301909 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071946 10
2.5712E-04 0.156464 0.016971 -99.000000 -99.000000 -6.903044 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.6702039118887013D-13
log_rel_run_E_err -11.5765535667983439
retry: max residual jumped -- give up in solver 11
20 6.620903 4334.368 -4.904165 -4.904165 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 1
-3.8803E+00 6.620903 0.262121 -99.000000 -6.301912 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071946 6
9.2499E-04 0.156468 0.026639 -99.000000 -99.000000 -6.913825 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.5808869863673670D-13
log_rel_run_E_err -11.2752036376681630
30 6.620911 4342.329 -4.904165 -4.904165 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020917 459 1
-3.0885E+00 6.620911 0.262169 -99.000000 -6.301913 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 5
5.0286E-03 0.156481 0.029923 -99.000000 -99.000000 -6.917384 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.7446346810280504D-13
log_rel_run_E_err -11.0964150303981270
40 6.620919 4343.637 -4.904161 -4.904161 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1
-2.2967E+00 6.620919 0.262216 -99.000000 -6.301908 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2
3.0437E-02 0.156493 0.030540 -99.000000 -99.000000 -6.918012 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.7334700550660841D-13
log_rel_run_E_err -10.9686652529972317
50 6.620920 4344.012 -4.904160 -4.904160 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1
-1.5049E+00 6.620920 0.262225 -99.000000 -6.301907 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2
1.8776E-01 0.156495 0.030708 -99.000000 -99.000000 -6.918186 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.7092799912153898D-13
log_rel_run_E_err -10.8723360811264165
save LOGS/profile2.data for model 50
save photos/x050 for model 50
60 6.620920 4344.021 -4.904159 -4.904159 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020916 459 1
-7.1305E-01 6.620920 0.262225 -99.000000 -6.301907 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2
1.1619E+00 0.156495 0.030712 -99.000000 -99.000000 -6.918190 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.5176203964364971D-13
log_rel_run_E_err -10.7922483793166055
70 6.620921 4344.020 -4.904156 -4.904156 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020914 459 1
7.8767E-02 6.620921 0.262225 -99.000000 -6.301903 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2
7.1933E+00 0.156496 0.030711 -99.000000 -99.000000 -6.918189 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.8302270428456311D-13
log_rel_run_E_err -10.7251746336999165
80 6.620923 4344.018 -4.904133 -4.904133 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020904 459 1
8.7058E-01 6.620923 0.262223 -99.000000 -6.301881 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2
4.4538E+01 0.156504 0.030705 -20.771070 -99.000000 -6.918185 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.5957559516922132D-13
log_rel_run_E_err -10.6668081098843590
90 6.620935 4344.001 -4.903995 -4.903995 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020843 459 1
1.6624E+00 6.620935 0.262208 -99.000000 -6.301742 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071945 2
2.7577E+02 0.156549 0.030670 -99.000000 -99.000000 -6.918161 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.5696170162353574D-13
log_rel_run_E_err -10.6169769835721350
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
100 6.621014 4343.899 -4.903137 -4.903137 1.000000 1.000000 0.716821 0.000973 0.263923 -4.020464 459 1
2.4542E+00 6.621014 0.262118 -99.000000 -6.300884 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071948 2
1.7075E+03 0.156830 0.030449 -99.000000 -99.000000 -6.918008 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.6174380869861378D-13
log_rel_run_E_err -10.5709226744600624
save LOGS/profile3.data for model 100
save photos/x100 for model 100
110 6.621497 4343.269 -4.897842 -4.897842 1.000000 1.000000 0.716821 0.000973 0.263923 -4.018118 459 1
3.2460E+00 6.621497 0.261563 -99.000000 -6.295589 -99.000000 0.000000 0.263923 0.009031 0.019255 0.071964 2
1.0572E+04 0.158568 0.029087 -99.000000 -99.000000 -6.917067 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.6474431052576677D-13
log_rel_run_E_err -10.5297768800611955
120 6.624428 4339.412 -4.865661 -4.865661 1.000000 1.000000 0.716821 0.000973 0.263923 -4.003720 459 1
4.0378E+00 6.624428 0.258185 -99.000000 -6.263406 -99.000000 0.000000 0.263924 0.009031 0.019255 0.072064 2
6.5461E+04 0.169180 0.020787 -99.000000 -99.000000 -6.911317 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err -3.0226079580514605D-14
log_rel_run_E_err -10.5022463152362935
130 6.640510 4317.225 -4.686498 -4.686498 1.000000 1.000000 0.716821 0.000973 0.263923 -3.918927 461 1
4.8296E+00 6.640510 0.239243 -99.000000 -6.084228 -99.000000 0.000000 0.263924 0.009031 0.019255 0.072757 3
4.0532E+05 0.229895 -0.026001 -99.000000 -99.000000 -6.878528 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.7610376632192891D-13
log_rel_run_E_err -10.4551261304594814
140 6.700445 4232.653 -3.986459 -3.986459 1.000000 1.000000 0.716820 0.000973 0.263923 -3.503284 464 1
5.6215E+00 6.700445 0.164361 -99.000000 -5.384100 -99.000000 0.000000 0.263925 0.009031 0.019255 0.077908 4
2.5096E+06 0.498811 -0.210133 -19.867980 -99.000000 -6.746329 0.000000 0.003319 0.002007 0.019255 0.000E+00 max increase
rel_E_err 2.6407913961582913D-13
log_rel_run_E_err -10.4035384250281009
150 6.806564 4290.132 -2.824193 -2.824193 1.000000 1.000000 0.716814 0.000973 0.263921 -2.622901 473 1
5.9625E+00 6.806564 0.062652 -99.000000 -4.221426 -99.000000 0.000000 0.263931 0.009031 0.019255 0.092029 4
1.0038E+07 1.034189 -0.390120 -99.000000 -99.000000 -6.650535 0.000000 0.003319 0.002007 0.019255 0.000E+00 lgRho_cntr
rel_E_err 2.3108883937719135D-13
log_rel_run_E_err -10.4163929966230242
save LOGS/profile4.data for model 150
save photos/x150 for model 150
160 6.951128 4928.559 -1.542894 -1.542894 1.000000 1.000000 0.716767 0.000973 0.263909 -1.794246 485 1
6.0530E+00 6.951128 0.014936 -99.000000 -2.939080 -99.000000 0.000000 0.263977 0.009032 0.019254 0.101700 4
2.1321E+07 1.598033 -0.244554 -17.459740 -99.000000 -6.785531 0.000000 0.003319 0.002007 0.019256 0.000E+00 lgRho_cntr
rel_E_err 1.7293389996139732D-13
log_rel_run_E_err -10.5380597265848479
170 7.128288 5569.036 -0.178519 -0.178519 1.000000 1.000000 0.716126 0.001572 0.263834 -1.734175 521 1
6.5270E+00 7.128288 -0.045535 -47.402440 -1.736192 -99.000000 0.000000 0.264531 0.009032 0.019249 0.084622 5
3.9814E+07 1.889246 -0.153256 -15.954590 -99.000000 -6.818851 0.000000 0.002805 0.002008 0.019343 0.000E+00 max increase
rel_E_err 1.8345863768420587D-13
log_rel_run_E_err -10.6437819938692151
(age_target - star_age)/age_sigma 173 694.6134728064
reducing max timestep prior to age target 173 4.5149875732412853D+09
180 7.125321 5544.639 -0.174278 -0.174278 1.000000 1.000000 0.709990 0.004658 0.263226 -1.684313 506 1
7.3188E+00 7.125321 -0.052097 -47.500505 -1.815910 -99.000000 0.000000 0.270212 0.009038 0.019211 0.086745 5
1.4464E+08 1.906760 -0.174008 -99.000000 -99.000000 -6.805568 0.000000 0.000164 0.002009 0.019797 0.000E+00 max increase
rel_E_err 1.8876670297924337D-13
log_rel_run_E_err -10.6105369123134974
(age_target - star_age)/age_sigma 180 680.7483002027
reducing max timestep prior to age target 180 4.4248639513173542D+09
(age_target - star_age)/age_sigma 183 666.7469287343
reducing max timestep prior to age target 183 4.3338550367726498D+09
(age_target - star_age)/age_sigma 185 652.1239579171
reducing max timestep prior to age target 185 4.2388057264613452D+09
(age_target - star_age)/age_sigma 187 631.0668799405
reducing max timestep prior to age target 187 4.1019347196130662D+09
(age_target - star_age)/age_sigma 188 618.7479360828
reducing max timestep prior to age target 188 4.0218615845380864D+09
(age_target - star_age)/age_sigma 189 606.6753711022
reducing max timestep prior to age target 189 3.9433899121646066D+09
190 7.130307 5562.274 -0.155879 -0.155879 1.000000 1.000000 0.671306 0.004860 0.259983 -1.659423 506 1
7.8859E+00 7.130307 -0.045758 -47.036929 -1.819456 -99.000000 0.000000 0.308792 0.009067 0.019003 0.089556 10
7.0301E+08 1.934298 -0.155813 -99.000000 -99.000000 -6.816486 0.000000 0.000014 0.002017 0.019902 0.000E+00 max_dt
rel_E_err 1.8395751722665000D-13
log_rel_run_E_err -10.5796666446902936
(age_target - star_age)/age_sigma 190 594.8442574213
reducing max timestep prior to age target 190 3.8664876732385960D+09
(age_target - star_age)/age_sigma 191 583.2497660140
reducing max timestep prior to age target 191 3.7911234790911059D+09
(age_target - star_age)/age_sigma 192 571.8871644349
reducing max timestep prior to age target 192 3.7172665688265657D+09
(age_target - star_age)/age_sigma 193 560.7518148873
reducing max timestep prior to age target 193 3.6448867967673159D+09
(age_target - star_age)/age_sigma 194 549.8391723307
reducing max timestep prior to age target 194 3.5739546201492515D+09
(age_target - star_age)/age_sigma 195 539.1447826252
reducing max timestep prior to age target 195 3.5044410870635481D+09
(age_target - star_age)/age_sigma 196 528.6642807138
reducing max timestep prior to age target 196 3.4363178246395593D+09
(age_target - star_age)/age_sigma 197 518.3933888406
reducing max timestep prior to age target 197 3.3695570274640498D+09
(age_target - star_age)/age_sigma 198 508.3279148049
reducing max timestep prior to age target 198 3.3041314462320509D+09
(age_target - star_age)/age_sigma 199 498.4637502500
reducing max timestep prior to age target 199 3.2400143766246910D+09
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
200 7.138111 5580.085 -0.136837 -0.136837 1.000000 1.000000 0.621619 0.004898 0.256105 -1.640693 510 1
7.7982E+00 7.138111 -0.039011 -46.416281 -1.800979 -99.000000 0.000000 0.358383 0.009096 0.018754 0.092951 10
1.3923E+09 1.966680 -0.136764 -99.000000 -99.000000 -6.828811 0.000000 0.000015 0.002026 0.019998 0.000E+00 max_dt
rel_E_err 1.8880912667705690D-13
log_rel_run_E_err -10.5513076962846295
(age_target - star_age)/age_sigma 200 488.7968689861
reducing max timestep prior to age target 200 3.1771796484094791D+09
save LOGS/profile5.data for model 200
save photos/x200 for model 200
(age_target - star_age)/age_sigma 201 479.3233253475
reducing max timestep prior to age target 201 3.1156016147585716D+09
(age_target - star_age)/age_sigma 202 470.0392525816
reducing max timestep prior to age target 202 3.0552551417806816D+09
(age_target - star_age)/age_sigma 203 460.9408612711
reducing max timestep prior to age target 203 2.9961155982623501D+09
(age_target - star_age)/age_sigma 204 452.0244377868
reducing max timestep prior to age target 204 2.9381588456143847D+09
(age_target - star_age)/age_sigma 205 443.2863427722
reducing max timestep prior to age target 205 2.8813612280193787D+09
(age_target - star_age)/age_sigma 206 434.7230096579
reducing max timestep prior to age target 206 2.8256995627762733D+09
(age_target - star_age)/age_sigma 207 426.3309432059
reducing max timestep prior to age target 207 2.7711511308380299D+09
(age_target - star_age)/age_sigma 208 418.1067180829
reducing max timestep prior to age target 208 2.7176936675385504D+09
(age_target - star_age)/age_sigma 209 410.0469774623
reducing max timestep prior to age target 209 2.6653053535050611D+09
210 7.144927 5594.339 -0.121035 -0.121035 1.000000 1.000000 0.580448 0.004934 0.252910 -1.624063 511 1
7.7105E+00 7.144927 -0.033325 -45.898426 -1.782734 -99.000000 0.000000 0.399477 0.009113 0.018548 0.096046 10
1.9555E+09 1.994797 -0.120962 -15.653560 -99.000000 -6.839310 0.000000 0.000015 0.002034 0.020075 0.000E+00 max_dt
rel_E_err 2.0609687646178560D-13
log_rel_run_E_err -10.5236847314639572
(age_target - star_age)/age_sigma 210 402.1484316542
reducing max timestep prior to age target 210 2.6139648057522421D+09
(age_target - star_age)/age_sigma 211 394.4078567622
reducing max timestep prior to age target 211 2.5636510689544792D+09
(age_target - star_age)/age_sigma 212 386.8220933681
reducing max timestep prior to age target 212 2.5143436068926711D+09
(age_target - star_age)/age_sigma 214 371.9539971156
reducing max timestep prior to age target 214 2.4177009812515278D+09
(age_target - star_age)/age_sigma 215 364.6686299519
reducing max timestep prior to age target 215 2.3703460946873674D+09
(age_target - star_age)/age_sigma 216 357.5289701315
reducing max timestep prior to age target 216 2.3239383058544908D+09
(age_target - star_age)/age_sigma 217 350.5321035074
reducing max timestep prior to age target 217 2.2784586727982712D+09
(age_target - star_age)/age_sigma 218 343.6751742159
reducing max timestep prior to age target 218 2.2338886324031758D+09
(age_target - star_age)/age_sigma 219 336.9553835102
reducing max timestep prior to age target 219 2.1902099928159828D+09
220 7.150888 5605.913 -0.107600 -0.107600 1.000000 1.000000 0.545922 0.004969 0.250345 -1.609270 512 1
7.6315E+00 7.150888 -0.028403 -45.460202 -1.766136 -99.000000 0.000000 0.433941 0.009120 0.018383 0.098867 10
2.4221E+09 2.019299 -0.107527 -99.000000 -99.000000 -6.848351 0.000000 0.000016 0.002041 0.020136 0.000E+00 max_dt
rel_E_err 2.0884920244770160D-13
log_rel_run_E_err -10.4974506935051437
(age_target - star_age)/age_sigma 220 330.3699886185
reducing max timestep prior to age target 220 2.1474049260205340D+09
(age_target - star_age)/age_sigma 221 323.9163016248
reducing max timestep prior to age target 221 2.1054559605609937D+09
(age_target - star_age)/age_sigma 222 317.5916883709
reducing max timestep prior to age target 222 2.0643459744106441D+09
(age_target - star_age)/age_sigma 223 311.3935673820
reducing max timestep prior to age target 223 2.0240581879833016D+09
(age_target - star_age)/age_sigma 224 305.3194088130
reducing max timestep prior to age target 224 1.9845761572845058D+09
(age_target - star_age)/age_sigma 225 299.3667334153
reducing max timestep prior to age target 225 1.9458837671996861D+09
(age_target - star_age)/age_sigma 226 293.5331115256
reducing max timestep prior to age target 226 1.9079652249165630D+09
(age_target - star_age)/age_sigma 227 287.8161620737
reducing max timestep prior to age target 227 1.8708050534791021D+09
(age_target - star_age)/age_sigma 228 282.2135516108
reducing max timestep prior to age target 228 1.8343880854703908D+09
(age_target - star_age)/age_sigma 229 276.7229933572
reducing max timestep prior to age target 229 1.7986994568218532D+09
230 7.156026 5615.030 -0.096279 -0.096279 1.000000 1.000000 0.517219 0.005003 0.248172 -1.596357 511 1
7.5438E+00 7.156026 -0.024155 -45.092042 -1.751494 -99.000000 0.000000 0.462596 0.009120 0.018243 0.101388 10
2.8058E+09 2.040354 -0.096207 -99.000000 -99.000000 -6.856082 0.000000 0.000016 0.002046 0.020185 0.000E+00 max_dt
rel_E_err 1.8570072434949939D-13
log_rel_run_E_err -10.4730759792890211
(age_target - star_age)/age_sigma 230 271.3422462687
reducing max timestep prior to age target 230 1.7637246007462864D+09
(age_target - star_age)/age_sigma 231 266.0691141219
reducing max timestep prior to age target 231 1.7294492417922311D+09
(age_target - star_age)/age_sigma 232 260.9014446180
reducing max timestep prior to age target 232 1.6958593900172572D+09
(age_target - star_age)/age_sigma 233 255.8371285043
reducing max timestep prior to age target 233 1.6629413352777824D+09
(age_target - star_age)/age_sigma 234 250.8740987128
reducing max timestep prior to age target 234 1.6306816416330972D+09
(age_target - star_age)/age_sigma 235 246.0103295171
reducing max timestep prior to age target 235 1.5990671418613057D+09
(age_target - star_age)/age_sigma 236 241.2438357054
reducing max timestep prior to age target 236 1.5680849320849500D+09
(age_target - star_age)/age_sigma 237 236.5726717699
reducing max timestep prior to age target 237 1.5377223665041213D+09
(age_target - star_age)/age_sigma 238 231.9949311131
reducing max timestep prior to age target 238 1.5079670522349095D+09
(age_target - star_age)/age_sigma 239 227.5087452694
reducing max timestep prior to age target 239 1.4788068442510815D+09
240 7.160399 5622.521 -0.086828 -0.086828 1.000000 1.000000 0.493538 0.005035 0.246402 -1.585276 511 1
7.4560E+00 7.160399 -0.020588 -44.784961 -1.738822 -99.000000 0.000000 0.486238 0.009114 0.018129 0.103601 10
3.1193E+09 2.058219 -0.086758 -99.000000 -99.000000 -6.862578 0.000000 0.000017 0.002050 0.020224 0.000E+00 max_dt
rel_E_err 2.1240101032671091D-13
log_rel_run_E_err -10.4496523356468334
(age_target - star_age)/age_sigma 240 223.1122831426
reducing max timestep prior to age target 240 1.4502298404269304D+09
(age_target - star_age)/age_sigma 241 218.8037502583
reducing max timestep prior to age target 241 1.4222243766792622D+09
(age_target - star_age)/age_sigma 242 214.5813880318
reducing max timestep prior to age target 242 1.3947790222065477D+09
(age_target - star_age)/age_sigma 243 210.4434730497
reducing max timestep prior to age target 243 1.3678825748232870D+09
(age_target - star_age)/age_sigma 244 206.3883163673
reducing max timestep prior to age target 244 1.3415240563876920D+09
(age_target - star_age)/age_sigma 245 202.4142628186
reducing max timestep prior to age target 245 1.3156927083208084D+09
(age_target - star_age)/age_sigma 246 198.5196903408
reducing max timestep prior to age target 246 1.2903779872152624D+09
(age_target - star_age)/age_sigma 248 190.8863282844
reducing max timestep prior to age target 248 1.2407611338483925D+09
(age_target - star_age)/age_sigma 249 187.1459808767
reducing max timestep prior to age target 249 1.2164488756986265D+09
250 7.164112 5628.538 -0.078927 -0.078927 1.000000 1.000000 0.473912 0.005064 0.244978 -1.575810 511 1
7.3771E+00 7.164112 -0.017567 -44.527964 -1.727905 -99.000000 0.000000 0.505834 0.009104 0.018036 0.105532 10
3.3769E+09 2.073349 -0.078858 -15.954590 -99.000000 -6.868038 0.000000 0.000017 0.002053 0.020254 0.000E+00 max_dt
rel_E_err 1.8341264006962625D-13
log_rel_run_E_err -10.4277139219899730
(age_target - star_age)/age_sigma 250 183.4804404172
reducing max timestep prior to age target 250 1.1926228627118559D+09
save LOGS/profile6.data for model 250
save photos/x250 for model 250
(age_target - star_age)/age_sigma 251 179.8882107669
reducing max timestep prior to age target 251 1.1692733699848208D+09
(age_target - star_age)/age_sigma 252 176.3678257096
reducing max timestep prior to age target 252 1.1463908671123257D+09
(age_target - star_age)/age_sigma 253 172.9178483534
reducing max timestep prior to age target 253 1.1239660142972808D+09
(age_target - star_age)/age_sigma 254 169.5368705444
reducing max timestep prior to age target 254 1.1019896585385365D+09
(age_target - star_age)/age_sigma 255 166.2235122915
reducing max timestep prior to age target 255 1.0804528298949680D+09
(age_target - star_age)/age_sigma 256 162.9764212037
reducing max timestep prior to age target 256 1.0593467378242707D+09
(age_target - star_age)/age_sigma 257 159.7942719377
reducing max timestep prior to age target 257 1.0386627675949869D+09
(age_target - star_age)/age_sigma 258 156.6757656570
reducing max timestep prior to age target 258 1.0183924767702889D+09
(age_target - star_age)/age_sigma 259 153.6196295019
reducing max timestep prior to age target 259 9.9852759176208496D+08
260 7.167276 5633.333 -0.072282 -0.072282 1.000000 1.000000 0.457521 0.005092 0.243783 -1.567703 510 1
7.2893E+00 7.167276 -0.014985 -44.311555 -1.718489 -99.000000 0.000000 0.522201 0.009092 0.017958 0.107219 10
3.5904E+09 2.086213 -0.072215 -15.954590 -99.000000 -6.872630 0.000000 0.000018 0.002056 0.020278 0.000E+00 max_dt
rel_E_err 1.8665505181441929D-13
log_rel_run_E_err -10.4069786347050002
(age_target - star_age)/age_sigma 260 150.6246160699
reducing max timestep prior to age target 260 9.7906000445404482D+08
(age_target - star_age)/age_sigma 261 147.6895029065
reducing max timestep prior to age target 261 9.5998176889216566D+08
(age_target - star_age)/age_sigma 262 144.8130920064
reducing max timestep prior to age target 262 9.4128509804152393D+08
(age_target - star_age)/age_sigma 263 141.9942093243
reducing max timestep prior to age target 263 9.2296236060789537D+08
(age_target - star_age)/age_sigma 264 139.2317042958
reducing max timestep prior to age target 264 9.0500607792293930D+08
(age_target - star_age)/age_sigma 265 136.5244493680
reducing max timestep prior to age target 265 8.8740892089168215D+08
(age_target - star_age)/age_sigma 266 133.8713395386
reducing max timestep prior to age target 266 8.7016370700105000D+08
(age_target - star_age)/age_sigma 267 131.2712919059
reducing max timestep prior to age target 267 8.5326339738823080D+08
(age_target - star_age)/age_sigma 268 128.7232452258
reducing max timestep prior to age target 268 8.3670109396766806D+08
(age_target - star_age)/age_sigma 269 126.2261594793
reducing max timestep prior to age target 269 8.2047003661551666D+08
270 7.169921 5637.260 -0.066785 -0.066785 1.000000 1.000000 0.444041 0.005117 0.242812 -1.560892 510 1
7.2016E+00 7.169921 -0.012843 -44.132330 -1.710531 -99.000000 0.000000 0.535662 0.009079 0.017895 0.108660 10
3.7649E+09 2.096955 -0.066719 -99.000000 -99.000000 -6.876458 0.000000 0.000018 0.002058 0.020297 0.000E+00 max_dt
rel_E_err 1.7787084899360240D-13
log_rel_run_E_err -10.3874901150388332
(age_target - star_age)/age_sigma 270 123.7790154478
reducing max timestep prior to age target 270 8.0456360041040802D+08
(age_target - star_age)/age_sigma 271 121.3808142968
reducing max timestep prior to age target 271 7.8897529292940140D+08
(age_target - star_age)/age_sigma 272 119.0305771689
reducing max timestep prior to age target 272 7.7369875159801483D+08
(age_target - star_age)/age_sigma 273 116.7273447836
reducing max timestep prior to age target 273 7.5872774109325647D+08
(age_target - star_age)/age_sigma 274 114.4701770459
reducing max timestep prior to age target 274 7.4405615079859304D+08
(age_target - star_age)/age_sigma 275 112.2581526630
reducing max timestep prior to age target 275 7.2967799230982304D+08
(age_target - star_age)/age_sigma 276 110.0903687678
reducing max timestep prior to age target 276 7.1558739699082804D+08
(age_target - star_age)/age_sigma 277 107.9659405505
reducing max timestep prior to age target 277 7.0177861357821321D+08
(age_target - star_age)/age_sigma 278 105.8840008975
reducing max timestep prior to age target 278 6.8824600583385086D+08
(age_target - star_age)/age_sigma 279 103.8437000376
reducing max timestep prior to age target 279 6.7498405024437571D+08
280 7.172142 5640.417 -0.062249 -0.062249 1.000000 1.000000 0.432963 0.005140 0.242034 -1.555173 509 1
7.1138E+00 7.172142 -0.011062 -43.984221 -1.703849 -99.000000 0.000000 0.546725 0.009065 0.017844 0.109881 9
3.9075E+09 2.105931 -0.062185 -15.954590 -99.000000 -6.879618 0.000000 0.000018 0.002060 0.020312 0.000E+00 max_dt
rel_E_err 1.8247277021323132D-13
log_rel_run_E_err -10.3685466279804075
(age_target - star_age)/age_sigma 280 101.8442051949
reducing max timestep prior to age target 280 6.6198733376668930D+08
(age_target - star_age)/age_sigma 281 99.8847002490
reducing max timestep prior to age target 281 6.4925055161855745D+08
(age_target - star_age)/age_sigma 283 96.0440705551
reducing max timestep prior to age target 283 6.2428645860821867D+08
(age_target - star_age)/age_sigma 284 94.1621620051
reducing max timestep prior to age target 284 6.1205405303315210D+08
(age_target - star_age)/age_sigma 285 92.3178916261
reducing max timestep prior to age target 285 6.0006629556958771D+08
(age_target - star_age)/age_sigma 286 90.5105066547
reducing max timestep prior to age target 286 5.8831829325529385D+08
(age_target - star_age)/age_sigma 287 88.7392693827
reducing max timestep prior to age target 287 5.7680525098728609D+08
(age_target - star_age)/age_sigma 288 87.0034568561
reducing max timestep prior to age target 288 5.6552246956463861D+08
(age_target - star_age)/age_sigma 289 85.3023605801
reducing max timestep prior to age target 289 5.5446534377044439D+08
290 7.174132 5643.042 -0.058446 -0.058446 1.000000 1.000000 0.423703 0.005160 0.241391 -1.550218 509 1
7.0349E+00 7.174132 -0.009564 -43.859186 -1.698183 -99.000000 0.000000 0.555973 0.009053 0.017802 0.110918 6
4.0259E+09 2.113726 -0.058382 -99.000000 -99.000000 -6.882274 0.000000 0.000018 0.002062 0.020325 0.000E+00 max_dt
rel_E_err 1.8967054479653552D-13
log_rel_run_E_err -10.3503993173276179
(age_target - star_age)/age_sigma 290 83.6352862296
reducing max timestep prior to age target 290 5.4362936049213362D+08
(age_target - star_age)/age_sigma 291 82.0015533661
reducing max timestep prior to age target 291 5.3301009687938976D+08
(age_target - star_age)/age_sigma 292 80.4004951598
reducing max timestep prior to age target 292 5.2260321853890038D+08
(age_target - star_age)/age_sigma 293 78.8314581177
reducing max timestep prior to age target 293 5.1240447776522064D+08
(age_target - star_age)/age_sigma 294 77.2938018165
reducing max timestep prior to age target 294 5.0240971180701447D+08
(age_target - star_age)/age_sigma 295 75.7868986412
reducing max timestep prior to age target 295 4.9261484116797256D+08
(age_target - star_age)/age_sigma 296 74.3101335295
reducing max timestep prior to age target 296 4.8301586794171143D+08
(age_target - star_age)/age_sigma 297 72.8629037200
reducing max timestep prior to age target 297 4.7360887417997551D+08
(age_target - star_age)/age_sigma 298 71.4446185067
reducing max timestep prior to age target 298 4.6439002029347420D+08
(age_target - star_age)/age_sigma 299 70.0546989976
reducing max timestep prior to age target 299 4.5535554348470306D+08
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
300 7.175680 5645.127 -0.055310 -0.055310 1.000000 1.000000 0.416073 0.005178 0.240840 -1.546187 509 1
6.9471E+00 7.175680 -0.008318 -43.756301 -1.693432 -99.000000 0.000000 0.563593 0.009041 0.017766 0.111803 5
4.1230E+09 2.120004 -0.055247 -99.000000 -99.000000 -6.884468 0.000000 0.000019 0.002063 0.020334 0.000E+00 max_dt
rel_E_err 1.8506237280059395D-13
log_rel_run_E_err -10.3331277393522303
(age_target - star_age)/age_sigma 300 68.6925778788
reducing max timestep prior to age target 300 4.4650175621210718D+08
save LOGS/profile7.data for model 300
save photos/x300 for model 300
(age_target - star_age)/age_sigma 301 67.3576991823
reducing max timestep prior to age target 301 4.3782504468496370D+08
(age_target - star_age)/age_sigma 302 66.0495180597
reducing max timestep prior to age target 302 4.2932186738836241D+08
(age_target - star_age)/age_sigma 303 64.7675005596
reducing max timestep prior to age target 303 4.2098875363769341D+08
(age_target - star_age)/age_sigma 304 63.5111234095
reducing max timestep prior to age target 304 4.1282230216203833D+08
(age_target - star_age)/age_sigma 305 62.2798738024
reducing max timestep prior to age target 305 4.0481917971589565D+08
(age_target - star_age)/age_sigma 306 61.0732491875
reducing max timestep prior to age target 306 3.9697611971867609D+08
(age_target - star_age)/age_sigma 307 59.8907570648
reducing max timestep prior to age target 307 3.8928992092140102D+08
(age_target - star_age)/age_sigma 308 58.7319147846
reducing max timestep prior to age target 308 3.8175744610007095D+08
(age_target - star_age)/age_sigma 309 57.5962493500
reducing max timestep prior to age target 309 3.7437562077516747D+08
310 7.176960 5646.812 -0.052734 -0.052734 1.000000 1.000000 0.409817 0.005193 0.240398 -1.542851 509 1
6.8594E+00 7.176960 -0.007289 -43.671621 -1.689488 -99.000000 0.000000 0.569841 0.009030 0.017737 0.112541 5
4.2024E+09 2.125189 -0.052672 -99.000000 -99.000000 -6.886268 0.000000 0.000019 0.002064 0.020342 0.000E+00 max_dt
rel_E_err 1.8498763531598588D-13
log_rel_run_E_err -10.3162950689066442
(age_target - star_age)/age_sigma 310 56.4832972241
reducing max timestep prior to age target 310 3.6714143195676279D+08
(age_target - star_age)/age_sigma 311 55.3926041407
reducing max timestep prior to age target 311 3.6005192691472578D+08
(age_target - star_age)/age_sigma 312 54.3237249190
reducing max timestep prior to age target 312 3.5310421197352934D+08
(age_target - star_age)/age_sigma 313 53.2762232817
reducing max timestep prior to age target 313 3.4629545133115721D+08
(age_target - star_age)/age_sigma 314 52.2496716772
reducing max timestep prior to age target 314 3.3962286590163279D+08
(age_target - star_age)/age_sigma 315 51.2436511047
reducing max timestep prior to age target 315 3.3308373218069792D+08
(age_target - star_age)/age_sigma 316 50.2577509437
reducing max timestep prior to age target 316 3.2667538113418245D+08
(age_target - star_age)/age_sigma 318 48.3253866282
reducing max timestep prior to age target 318 3.1411501308301210D+08
(age_target - star_age)/age_sigma 319 47.3785281135
reducing max timestep prior to age target 319 3.0796043273793840D+08
320 7.178022 5648.184 -0.050608 -0.050608 1.000000 1.000000 0.404662 0.005206 0.240039 -1.540080 509 1
6.7804E+00 7.178022 -0.006438 -43.601619 -1.686204 -99.000000 0.000000 0.574990 0.009020 0.017714 0.113159 5
4.2676E+09 2.129489 -0.050546 -99.000000 -99.000000 -6.887754 0.000000 0.000019 0.002065 0.020348 0.000E+00 max_dt
rel_E_err 1.7998669293899806D-13
log_rel_run_E_err -10.3003020797701801
(age_target - star_age)/age_sigma 320 46.4506067692
reducing max timestep prior to age target 320 3.0192894399976635D+08
(age_target - star_age)/age_sigma 321 45.5412438517
reducing max timestep prior to age target 321 2.9601808503635788D+08
(age_target - star_age)/age_sigma 322 44.6500681926
reducing max timestep prior to age target 322 2.9022544325221682D+08
(age_target - star_age)/age_sigma 323 43.7767160467
reducing max timestep prior to age target 323 2.8454865430375910D+08
(age_target - star_age)/age_sigma 324 42.9208309437
reducing max timestep prior to age target 324 2.7898540113427019D+08
(age_target - star_age)/age_sigma 325 42.0820635428
reducing max timestep prior to age target 325 2.7353341302817154D+08
(age_target - star_age)/age_sigma 326 41.2600714899
reducing max timestep prior to age target 326 2.6819046468419456D+08
(age_target - star_age)/age_sigma 327 40.4545192780
reducing max timestep prior to age target 327 2.6295437530709743D+08
(age_target - star_age)/age_sigma 328 39.6650781104
reducing max timestep prior to age target 328 2.5782300771754169D+08
(age_target - star_age)/age_sigma 329 38.8914257661
reducing max timestep prior to age target 329 2.5279426747977829D+08
330 7.178909 5649.310 -0.048838 -0.048838 1.000000 1.000000 0.400378 0.005217 0.239744 -1.537757 509 1
6.6927E+00 7.178909 -0.005726 -43.543308 -1.683452 -99.000000 0.000000 0.579269 0.009012 0.017694 0.113680 5
4.3216E+09 2.133081 -0.048778 -99.000000 -99.000000 -6.888990 0.000000 0.000019 0.002066 0.020353 0.000E+00 max_dt
rel_E_err 1.8272918257492150D-13
log_rel_run_E_err -10.2847380998418370
(age_target - star_age)/age_sigma 330 38.1332464687
reducing max timestep prior to age target 330 2.4786610204676914D+08
(age_target - star_age)/age_sigma 331 37.3902307573
reducing max timestep prior to age target 331 2.4303649992242050D+08
(age_target - star_age)/age_sigma 332 36.6620753601
reducing max timestep prior to age target 332 2.3830348984055901D+08
(age_target - star_age)/age_sigma 333 35.9484830708
reducing max timestep prior to age target 333 2.3366513996033382D+08
(age_target - star_age)/age_sigma 334 35.2491626273
reducing max timestep prior to age target 334 2.2911955707771397D+08
(age_target - star_age)/age_sigma 335 34.5638285927
reducing max timestep prior to age target 335 2.2466488585274601D+08
(age_target - star_age)/age_sigma 336 33.8922012388
reducing max timestep prior to age target 336 2.2029930805227757D+08
(age_target - star_age)/age_sigma 337 33.2340064320
reducing max timestep prior to age target 337 2.1602104180781841D+08
(age_target - star_age)/age_sigma 338 32.5889755213
reducing max timestep prior to age target 338 2.1182834088824940D+08
(age_target - star_age)/age_sigma 339 31.9568452288
reducing max timestep prior to age target 339 2.0771949398707104D+08
340 7.179639 5650.231 -0.047385 -0.047385 1.000000 1.000000 0.396871 0.005227 0.239504 -1.535850 511 1
6.6049E+00 7.179639 -0.005141 -43.495427 -1.681179 -99.000000 0.000000 0.582772 0.009005 0.017679 0.114110 5
4.3658E+09 2.136034 -0.047324 -15.352530 -99.000000 -6.890006 0.000000 0.000019 0.002066 0.020357 0.000E+00 max_dt
rel_E_err 1.8590863958023033D-13
log_rel_run_E_err -10.2694079884027989
(age_target - star_age)/age_sigma 340 31.3373575421
reducing max timestep prior to age target 340 2.0369282402391624D+08
(age_target - star_age)/age_sigma 341 30.7302596092
reducing max timestep prior to age target 341 1.9974668746002388D+08
(age_target - star_age)/age_sigma 342 30.1353036350
reducing max timestep prior to age target 342 1.9587947362741089D+08
(age_target - star_age)/age_sigma 343 29.5522467802
reducing max timestep prior to age target 343 1.9208960407144833D+08
(age_target - star_age)/age_sigma 344 28.9808510626
reducing max timestep prior to age target 344 1.8837553190660667D+08
(age_target - star_age)/age_sigma 345 28.4208832592
reducing max timestep prior to age target 345 1.8473574118506050D+08
(age_target - star_age)/age_sigma 346 27.8721148120
reducing max timestep prior to age target 346 1.8116874627794647D+08
(age_target - star_age)/age_sigma 347 27.3343217337
reducing max timestep prior to age target 347 1.7767309126897430D+08
(age_target - star_age)/age_sigma 348 26.8072845170
reducing max timestep prior to age target 348 1.7424734936018085D+08
(age_target - star_age)/age_sigma 349 26.2907880445
reducing max timestep prior to age target 349 1.7089012228956413D+08
350 7.180239 5650.972 -0.046197 -0.046197 1.000000 1.000000 0.394000 0.005235 0.239309 -1.534283 511 1
6.5172E+00 7.180239 -0.004662 -43.456190 -1.679311 -99.000000 0.000000 0.585639 0.008999 0.017666 0.114466 5
4.4019E+09 2.138457 -0.046137 -15.954590 -99.000000 -6.890836 0.000000 0.000019 0.002067 0.020361 0.000E+00 max_dt
rel_E_err 1.7900686852565442D-13
log_rel_run_E_err -10.2548431900356238
(age_target - star_age)/age_sigma 350 25.7846215016
reducing max timestep prior to age target 350 1.6760003976035976D+08
save LOGS/profile8.data for model 350
save photos/x350 for model 350
(age_target - star_age)/age_sigma 351 25.2885782895
reducing max timestep prior to age target 351 1.6437575888173866D+08
(age_target - star_age)/age_sigma 353 24.3163335938
reducing max timestep prior to age target 353 1.5805616835964298D+08
(age_target - star_age)/age_sigma 354 23.8399336929
reducing max timestep prior to age target 354 1.5495956900381565D+08
(age_target - star_age)/age_sigma 355 23.3730617900
reducing max timestep prior to age target 355 1.5192490163510513D+08
(age_target - star_age)/age_sigma 356 22.9155273252
reducing max timestep prior to age target 356 1.4895092761376858D+08
(age_target - star_age)/age_sigma 357 22.4671435497
reducing max timestep prior to age target 357 1.4603643307285881D+08
(age_target - star_age)/age_sigma 358 22.0277274497
reducing max timestep prior to age target 358 1.4318022842276764D+08
(age_target - star_age)/age_sigma 359 21.5970996716
reducing max timestep prior to age target 359 1.4038114786567783D+08
360 7.180739 5651.585 -0.045210 -0.045210 1.000000 1.000000 0.391614 0.005242 0.239147 -1.532977 511 1
6.4382E+00 7.180739 -0.004262 -43.423523 -1.677751 -99.000000 0.000000 0.588023 0.008993 0.017655 0.114763 5
4.4319E+09 2.140476 -0.045150 -99.000000 -99.000000 -6.891525 0.000000 0.000019 0.002067 0.020363 0.000E+00 max_dt
rel_E_err 1.8348697511120309D-13
log_rel_run_E_err -10.2403306145126241
(age_target - star_age)/age_sigma 360 21.1750844492
reducing max timestep prior to age target 360 1.3763804891973019D+08
(age_target - star_age)/age_sigma 361 20.7615095312
reducing max timestep prior to age target 361 1.3494981195270157D+08
(age_target - star_age)/age_sigma 362 20.3562061115
reducing max timestep prior to age target 362 1.3231533972501278D+08
(age_target - star_age)/age_sigma 363 19.9590087603
reducing max timestep prior to age target 363 1.2973355694187832D+08
(age_target - star_age)/age_sigma 364 19.5697553561
reducing max timestep prior to age target 364 1.2720340981440639D+08
(age_target - star_age)/age_sigma 365 19.1882870199
reducing max timestep prior to age target 365 1.2472386562948322D+08
(age_target - star_age)/age_sigma 366 18.8144480505
reducing max timestep prior to age target 366 1.2229391232825947D+08
(age_target - star_age)/age_sigma 367 18.4480858605
reducing max timestep prior to age target 367 1.1991255809306049D+08
(age_target - star_age)/age_sigma 368 18.0890509142
reducing max timestep prior to age target 368 1.1757883094256401D+08
(age_target - star_age)/age_sigma 369 17.7371966669
reducing max timestep prior to age target 369 1.1529177833507919D+08
370 7.181151 5652.084 -0.044398 -0.044398 1.000000 1.000000 0.389654 0.005247 0.239015 -1.531903 511 1
6.3505E+00 7.181151 -0.003933 -43.396650 -1.676464 -99.000000 0.000000 0.589981 0.008989 0.017647 0.115009 5
4.4564E+09 2.142138 -0.044338 -99.000000 -99.000000 -6.892092 0.000000 0.000019 0.002067 0.020365 0.000E+00 max_dt
rel_E_err 1.9183324968220612D-13
log_rel_run_E_err -10.2265371230172679
(age_target - star_age)/age_sigma 370 17.3923795046
reducing max timestep prior to age target 370 1.1305046677974319D+08
(age_target - star_age)/age_sigma 371 17.0544586855
reducing max timestep prior to age target 371 1.1085398145551395D+08
(age_target - star_age)/age_sigma 372 16.7232962827
reducing max timestep prior to age target 372 1.0870142583776951D+08
(age_target - star_age)/age_sigma 373 16.3987571281
reducing max timestep prior to age target 373 1.0659192133237934D+08
(age_target - star_age)/age_sigma 374 16.0807087565
reducing max timestep prior to age target 374 1.0452460691709805D+08
(age_target - star_age)/age_sigma 375 15.7690213523
reducing max timestep prior to age target 375 1.0249863879012108D+08
(age_target - star_age)/age_sigma 376 15.4635676963
reducing max timestep prior to age target 376 1.0051319002568436D+08
(age_target - star_age)/age_sigma 377 15.1642231133
reducing max timestep prior to age target 377 9.8567450236536980D+07
(age_target - star_age)/age_sigma 378 14.8708654220
reducing max timestep prior to age target 378 9.6660625243171692D+07
(age_target - star_age)/age_sigma 379 14.5833748846
reducing max timestep prior to age target 379 9.4791936749673843D+07
380 7.181488 5652.491 -0.043734 -0.043734 1.000000 1.000000 0.388050 0.005252 0.238907 -1.531022 511 1
6.2628E+00 7.181488 -0.003664 -43.374649 -1.675408 -99.000000 0.000000 0.591583 0.008985 0.017640 0.115211 5
4.4765E+09 2.143500 -0.043675 -99.000000 -99.000000 -6.892555 0.000000 0.000019 0.002068 0.020367 0.000E+00 max_dt
rel_E_err 1.8988324674147094D-13
log_rel_run_E_err -10.2130855937911509
(age_target - star_age)/age_sigma 380 14.3016341579
reducing max timestep prior to age target 380 9.2960622026045799D+07
(age_target - star_age)/age_sigma 381 14.0255282457
reducing max timestep prior to age target 381 9.1165933596891403D+07
(age_target - star_age)/age_sigma 382 13.7549444517
reducing max timestep prior to age target 382 8.9407138936319351D+07
(age_target - star_age)/age_sigma 383 13.4897723337
reducing max timestep prior to age target 383 8.7683520168958664D+07
(age_target - star_age)/age_sigma 384 13.2299036580
reducing max timestep prior to age target 384 8.5994373776945114D+07
(age_target - star_age)/age_sigma 385 12.9752323558
reducing max timestep prior to age target 385 8.4339010312771797D+07
(age_target - star_age)/age_sigma 386 12.7256544797
reducing max timestep prior to age target 386 8.2716754117881775D+07
(age_target - star_age)/age_sigma 388 12.2364818424
reducing max timestep prior to age target 388 7.9537131975897789D+07
(age_target - star_age)/age_sigma 389 11.9967872502
reducing max timestep prior to age target 389 7.7979117126325607D+07
390 7.181766 5652.824 -0.043187 -0.043187 1.000000 1.000000 0.386732 0.005256 0.238819 -1.530297 511 1
6.1838E+00 7.181766 -0.003442 -43.356541 -1.674538 -99.000000 0.000000 0.592900 0.008982 0.017634 0.115377 5
4.4930E+09 2.144621 -0.043128 -15.255620 -99.000000 -6.892936 0.000000 0.000019 0.002068 0.020369 0.000E+00 max_dt
rel_E_err 1.9523133819199417D-13
log_rel_run_E_err -10.1998277886175632
(age_target - star_age)/age_sigma 390 11.7618865498
reducing max timestep prior to age target 390 7.6452262573744774D+07
(age_target - star_age)/age_sigma 391 11.5316838634
reducing max timestep prior to age target 391 7.4955945112215042D+07
(age_target - star_age)/age_sigma 392 11.3060852308
reducing max timestep prior to age target 392 7.3489553999917030D+07
(age_target - star_age)/age_sigma 393 11.0849985707
reducing max timestep prior to age target 393 7.2052490709864616D+07
(age_target - star_age)/age_sigma 394 10.8683336439
reducing max timestep prior to age target 394 7.0644168685612679D+07
(age_target - star_age)/age_sigma 395 10.6560020157
reducing max timestep prior to age target 395 6.9264013101846695D+07
(age_target - star_age)/age_sigma 396 10.4479170200
reducing max timestep prior to age target 396 6.7911460629755020D+07
(age_target - star_age)/age_sigma 397 10.2439937242
reducing max timestep prior to age target 397 6.6585959207106590D+07
(age_target - star_age)/age_sigma 398 10.0441488943
reducing max timestep prior to age target 398 6.5286967812910080D+07
(age_target - star_age)/age_sigma 399 9.8483009610
reducing max timestep prior to age target 399 6.4013956246597290D+07
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
400 7.181997 5653.100 -0.042734 -0.042734 1.000000 1.000000 0.385638 0.005259 0.238746 -1.529696 511 1
6.0961E+00 7.181997 -0.003258 -43.341508 -1.673814 -99.000000 0.000000 0.593992 0.008979 0.017629 0.115516 5
4.5067E+09 2.145552 -0.042675 -15.653560 -99.000000 -6.893253 0.000000 0.000019 0.002068 0.020370 0.000E+00 max_dt
rel_E_err 1.7312210313541625D-13
log_rel_run_E_err -10.1871407405149821
(age_target - star_age)/age_sigma 400 9.6563699864
reducing max timestep prior to age target 400 6.2766404911611557D+07
save LOGS/profile9.data for model 400
save photos/x400 for model 400
(age_target - star_age)/age_sigma 401 9.4682776313
reducing max timestep prior to age target 401 6.1543804603324890D+07
(age_target - star_age)/age_sigma 402 9.2839471233
reducing max timestep prior to age target 402 6.0345656301203728D+07
(age_target - star_age)/age_sigma 403 9.1033032254
reducing max timestep prior to age target 403 5.9171470965126038D+07
(age_target - star_age)/age_sigma 404 8.9262722055
reducing max timestep prior to age target 404 5.8020769335768700D+07
(age_target - star_age)/age_sigma 405 8.7527818060
reducing max timestep prior to age target 405 5.6893081738999367D+07
(age_target - star_age)/age_sigma 406 8.5827612145
reducing max timestep prior to age target 406 5.5787947894165039D+07
(age_target - star_age)/age_sigma 407 8.4161410348
reducing max timestep prior to age target 407 5.4704916726227760D+07
(age_target - star_age)/age_sigma 408 8.2528532587
reducing max timestep prior to age target 408 5.3643546181649208D+07
(age_target - star_age)/age_sigma 409 8.0928312381
reducing max timestep prior to age target 409 5.2603403047961235D+07
410 7.182186 5653.324 -0.042364 -0.042364 1.000000 1.000000 0.384744 0.005262 0.238686 -1.529203 511 1
6.0083E+00 7.182186 -0.003107 -43.329211 -1.673221 -99.000000 0.000000 0.594886 0.008977 0.017625 0.115630 3
4.5179E+09 2.146314 -0.042305 -15.653560 -99.000000 -6.893511 0.000000 0.000019 0.002068 0.020371 0.000E+00 max_dt
rel_E_err 1.7311262378856825D-13
log_rel_run_E_err -10.1749898585436007
(age_target - star_age)/age_sigma 410 7.9360096580
reducing max timestep prior to age target 410 5.1584062776947975D+07
(age_target - star_age)/age_sigma 411 7.7823245094
reducing max timestep prior to age target 411 5.0585109311354637D+07
(age_target - star_age)/age_sigma 412 7.6317130639
reducing max timestep prior to age target 412 4.9606134915074348D+07
(age_target - star_age)/age_sigma 413 7.4841138472
reducing max timestep prior to age target 413 4.8646740006718636D+07
(age_target - star_age)/age_sigma 414 7.3394666149
reducing max timestep prior to age target 414 4.7706532996529579D+07
(age_target - star_age)/age_sigma 415 7.1977123272
reducing max timestep prior to age target 415 4.6785130126545906D+07
(age_target - star_age)/age_sigma 416 7.0587931252
reducing max timestep prior to age target 416 4.5882155313960075D+07
(age_target - star_age)/age_sigma 417 6.9226523073
reducing max timestep prior to age target 417 4.4997239997627258D+07
(age_target - star_age)/age_sigma 418 6.7892343058
reducing max timestep prior to age target 418 4.4130022987620354D+07
(age_target - star_age)/age_sigma 419 6.6584846643
reducing max timestep prior to age target 419 4.3280150317813873D+07
420 7.182341 5653.507 -0.042061 -0.042061 1.000000 1.000000 0.384013 0.005264 0.238637 -1.528800 511 1
5.9206E+00 7.182341 -0.002984 -43.319154 -1.672736 -99.000000 0.000000 0.595616 0.008975 0.017622 0.115723 3
4.5271E+09 2.146937 -0.042002 -99.000000 -99.000000 -6.893723 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt
rel_E_err 1.7889650310047067D-13
log_rel_run_E_err -10.1632154409009967
(age_target - star_age)/age_sigma 420 6.5303500156
reducing max timestep prior to age target 420 4.2447275101403236D+07
(age_target - star_age)/age_sigma 422 6.2792061042
reducing max timestep prior to age target 422 4.0814839677239418D+07
(age_target - star_age)/age_sigma 423 6.1561455876
reducing max timestep prior to age target 423 4.0014946319398880D+07
(age_target - star_age)/age_sigma 424 6.0355462813
reducing max timestep prior to age target 424 3.9231050828715324D+07
(age_target - star_age)/age_sigma 425 5.9173589612
reducing max timestep prior to age target 425 3.8462833247844696D+07
(age_target - star_age)/age_sigma 426 5.8015353875
reducing max timestep prior to age target 426 3.7709980018591881D+07
(age_target - star_age)/age_sigma 427 5.6880282852
reducing max timestep prior to age target 427 3.6972183853924751D+07
(age_target - star_age)/age_sigma 428 5.5767913250
reducing max timestep prior to age target 428 3.6249143612549782D+07
(age_target - star_age)/age_sigma 429 5.4677791040
reducing max timestep prior to age target 429 3.5540564176003456D+07
430 7.182469 5653.659 -0.041808 -0.041808 1.000000 1.000000 0.383404 0.005266 0.238596 -1.528465 511 1
5.8416E+00 7.182469 -0.002881 -43.310782 -1.672332 -99.000000 0.000000 0.596224 0.008974 0.017619 0.115801 3
4.5347E+09 2.147456 -0.041750 -99.000000 -99.000000 -6.893899 0.000000 0.000019 0.002068 0.020372 0.000E+00 max_dt
rel_E_err 1.8746971083238265D-13
log_rel_run_E_err -10.1515395580619163
(age_target - star_age)/age_sigma 430 5.3609471274
reducing max timestep prior to age target 430 3.4846156328186989D+07
(age_target - star_age)/age_sigma 431 5.2562517904
reducing max timestep prior to age target 431 3.4165636637327194D+07
(age_target - star_age)/age_sigma 432 5.1536503600
reducing max timestep prior to age target 432 3.3498727340285301D+07
(age_target - star_age)/age_sigma 433 5.0531009583
reducing max timestep prior to age target 433 3.2845156229183197D+07
(age_target - star_age)/age_sigma 434 4.9540205474
remaining steps and years until age target 434 50 3.2201133558023453D+07
(age_target - star_age)/age_sigma 435 4.8549401364
reducing max timestep prior to age target 435 3.1557110886862755D+07
(age_target - star_age)/age_sigma 436 4.7558597255
remaining steps and years until age target 436 48 3.0913088215703011D+07
(age_target - star_age)/age_sigma 437 4.6567793145
reducing max timestep prior to age target 437 3.0269065544542313D+07
(age_target - star_age)/age_sigma 438 4.5576989036
reducing max timestep prior to age target 438 2.9625042873381615D+07
(age_target - star_age)/age_sigma 439 4.4586184926
remaining steps and years until age target 439 45 2.8981020202221870D+07
440 7.182580 5653.790 -0.041592 -0.041592 1.000000 1.000000 0.382883 0.005268 0.238562 -1.528177 511 1
5.8089E+00 7.182580 -0.002793 -43.303608 -1.671985 -99.000000 0.000000 0.596744 0.008973 0.017617 0.115868 3
4.5412E+09 2.147901 -0.041534 -99.000000 -99.000000 -6.894049 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt
rel_E_err 1.9539986423006431D-13
log_rel_run_E_err -10.1405011750114298
(age_target - star_age)/age_sigma 440 4.3595380817
reducing max timestep prior to age target 440 2.8336997531061172D+07
(age_target - star_age)/age_sigma 441 4.2604576708
remaining steps and years until age target 441 43 2.7692974859901428D+07
(age_target - star_age)/age_sigma 442 4.1613772598
reducing max timestep prior to age target 442 2.7048952188740730D+07
(age_target - star_age)/age_sigma 443 4.0622968489
remaining steps and years until age target 443 41 2.6404929517580986D+07
(age_target - star_age)/age_sigma 444 3.9632164379
reducing max timestep prior to age target 444 2.5760906846420288D+07
(age_target - star_age)/age_sigma 445 3.8641360270
reducing max timestep prior to age target 445 2.5116884175259590D+07
(age_target - star_age)/age_sigma 446 3.7650556160
remaining steps and years until age target 446 38 2.4472861504099846D+07
(age_target - star_age)/age_sigma 447 3.6659752051
reducing max timestep prior to age target 447 2.3828838832939148D+07
(age_target - star_age)/age_sigma 448 3.5668947941
remaining steps and years until age target 448 36 2.3184816161779404D+07
(age_target - star_age)/age_sigma 449 3.4678143832
reducing max timestep prior to age target 449 2.2540793490618706D+07
450 7.182689 5653.919 -0.041378 -0.041378 1.000000 1.000000 0.382367 0.005269 0.238527 -1.527892 511 1
5.8089E+00 7.182689 -0.002706 -43.296505 -1.671642 -99.000000 0.000000 0.597259 0.008971 0.017615 0.115934 3
4.5476E+09 2.148341 -0.041320 -99.000000 -99.000000 -6.894198 0.000000 0.000019 0.002068 0.020373 0.000E+00 max_dt
rel_E_err 1.8188131814640860D-13
log_rel_run_E_err -10.1294620032053295
(age_target - star_age)/age_sigma 450 3.3687339722
remaining steps and years until age target 450 34 2.1896770819458961D+07
save LOGS/profile10.data for model 450
save photos/x450 for model 450
(age_target - star_age)/age_sigma 451 3.2696535613
reducing max timestep prior to age target 451 2.1252748148297310D+07
(age_target - star_age)/age_sigma 452 3.1705731503
remaining steps and years until age target 452 32 2.0608725477137566D+07
(age_target - star_age)/age_sigma 453 3.0714927394
reducing max timestep prior to age target 453 1.9964702805976868D+07
(age_target - star_age)/age_sigma 454 2.9724123284
reducing max timestep prior to age target 454 1.9320680134816170D+07
(age_target - star_age)/age_sigma 455 2.8733319175
remaining steps and years until age target 455 29 1.8676657463656425D+07
(age_target - star_age)/age_sigma 456 2.7742515065
reducing max timestep prior to age target 456 1.8032634792494774D+07
(age_target - star_age)/age_sigma 457 2.6751710956
remaining steps and years until age target 457 27 1.7388612121335030D+07
(age_target - star_age)/age_sigma 458 2.5760906846
reducing max timestep prior to age target 458 1.6744589450174332D+07
(age_target - star_age)/age_sigma 459 2.4770102737
reducing max timestep prior to age target 459 1.6100566779013634D+07
460 7.182799 5654.048 -0.041164 -0.041164 1.000000 1.000000 0.381852 0.005271 0.238493 -1.527607 511 1
5.8089E+00 7.182799 -0.002619 -43.289398 -1.671298 -99.000000 0.000000 0.597775 0.008970 0.017612 0.116000 3
4.5540E+09 2.148782 -0.041106 -99.000000 -99.000000 -6.894347 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt
rel_E_err 1.8616513020921748D-13
log_rel_run_E_err -10.1189089882926897
(age_target - star_age)/age_sigma 460 2.3779298627
reducing max timestep prior to age target 460 1.5456544107852936D+07
(age_target - star_age)/age_sigma 461 2.2788494518
reducing max timestep prior to age target 461 1.4812521436692238D+07
(age_target - star_age)/age_sigma 462 2.1797690409
reducing max timestep prior to age target 462 1.4168498765531540D+07
(age_target - star_age)/age_sigma 463 2.0806886299
remaining steps and years until age target 463 21 1.3524476094371796D+07
(age_target - star_age)/age_sigma 464 1.9816082190
reducing max timestep prior to age target 464 1.2880453423211098D+07
(age_target - star_age)/age_sigma 465 1.8825278080
reducing max timestep prior to age target 465 1.2236430752050400D+07
(age_target - star_age)/age_sigma 466 1.7834473971
reducing max timestep prior to age target 466 1.1592408080889702D+07
(age_target - star_age)/age_sigma 467 1.6843669861
reducing max timestep prior to age target 467 1.0948385409729004D+07
(age_target - star_age)/age_sigma 468 1.5852865752
reducing max timestep prior to age target 468 1.0304362738568306D+07
(age_target - star_age)/age_sigma 469 1.4862061642
remaining steps and years until age target 469 15 9.6603400674085617D+06
470 7.182908 5654.177 -0.040950 -0.040950 1.000000 1.000000 0.381336 0.005272 0.238459 -1.527322 511 1
5.8089E+00 7.182908 -0.002532 -43.282287 -1.670954 -99.000000 0.000000 0.598290 0.008969 0.017610 0.116066 3
4.5605E+09 2.149223 -0.040892 -15.477469 -99.000000 -6.894496 0.000000 0.000019 0.002069 0.020374 0.000E+00 max_dt
rel_E_err 1.8401460147574776D-13
log_rel_run_E_err -10.1084837817333764
(age_target - star_age)/age_sigma 470 1.3871257533
reducing max timestep prior to age target 470 9.0163173962478638D+06
(age_target - star_age)/age_sigma 471 1.2880453423
reducing max timestep prior to age target 471 8.3722947250871658D+06
(age_target - star_age)/age_sigma 472 1.1889649314
reducing max timestep prior to age target 472 7.7282720539264679D+06
(age_target - star_age)/age_sigma 473 1.0898845204
reducing max timestep prior to age target 473 7.0842493827657700D+06
(age_target - star_age)/age_sigma 474 0.9908041095
reducing max timestep prior to age target 474 6.4402267116050720D+06
(age_target - star_age)/age_sigma 475 0.8917236985
remaining steps and years until age target 475 9 5.7962040404453278D+06
(age_target - star_age)/age_sigma 476 0.7926432876
reducing max timestep prior to age target 476 5.1521813692846298D+06
(age_target - star_age)/age_sigma 477 0.6935628766
reducing max timestep prior to age target 477 4.5081586981239319D+06
(age_target - star_age)/age_sigma 478 0.5944824657
reducing max timestep prior to age target 478 3.8641360269632339D+06
(age_target - star_age)/age_sigma 479 0.4954020547
reducing max timestep prior to age target 479 3.2201133558025360D+06
480 7.183018 5654.306 -0.040736 -0.040736 1.000000 1.000000 0.380819 0.005274 0.238425 -1.527037 511 1
5.8089E+00 7.183018 -0.002444 -43.275171 -1.670609 -99.000000 0.000000 0.598806 0.008967 0.017608 0.116132 3
4.5669E+09 2.149664 -0.040678 -99.000000 -99.000000 -6.894645 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt
rel_E_err 1.7221339937615393D-13
log_rel_run_E_err -10.0984426082817382
(age_target - star_age)/age_sigma 480 0.3963216438
reducing max timestep prior to age target 480 2.5760906846418381D+06
model saved to final.mod
save photos/x480 for model 480
(age_target - star_age)/age_sigma 481 0.2972412328
reducing max timestep prior to age target 481 1.9320680134811401D+06
(age_target - star_age)/age_sigma 482 0.1981608219
reducing max timestep prior to age target 482 1.2880453423204422D+06
(age_target - star_age)/age_sigma 483 0.0990804109
remaining steps and years until age target 483 1 6.4402267116069794D+05
chi^2 combined, chi^2 seismo, chi^2 spectro 484 333406.28 0.00 333406.28
save outputs/best.mod 484
save outputs/best.profile for model 484
save LOGS/profile11.data for model 484
have reached age_target
save LOGS/profile11.data for model 484
solver retries 10
varcontrol dt limit 326
max increase dt limit 4286
lgTeff dt limit 2
lgRho_cntr dt limit 147
model saved to final.mod
save photos/x484 for model 484
chi^2 combined, chi^2 seismo, chi^2 spectro 484 333406.28 0.00 333406.28
have reached age_target
runtime (minutes), retries, steps 2.52 1 484
__________________________________________________________________________________________________________________________________________________
step lg_Tmax Teff lg_LH lg_Lnuc_tot Mass H_rich H_cntr N_cntr Y_surf eta_cntr zones retry
lg_dt_yrs lg_Tcntr lg_R lg_L3a lg_Lneu lg_Mdot He_core He_cntr O_cntr Z_surf gam_cntr iters
age_yrs lg_Dcntr lg_L lg_LZ lg_Lphoto lg_Dsurf CO_core C_cntr Ne_cntr Z_cntr v_div_cs dt_limit
__________________________________________________________________________________________________________________________________________________
484 7.183062 5654.358 -0.040650 -0.040650 1.000000 1.000000 0.380613 0.005275 0.238411 -1.526923 511 1
5.8089E+00 7.183062 -0.002410 -43.272324 -1.670471 -99.000000 0.000000 0.599012 0.008967 0.017607 0.116159 3
4.5695E+09 2.149841 -0.040592 -99.000000 -99.000000 -6.894704 0.000000 0.000019 0.002069 0.020375 0.000E+00 max_dt
rel_E_err 1.9730304315308803D-13
log_rel_run_E_err -10.0943964226715703
Teff 5654.3575099531
radius 0.9944671034
radius_obs 1.0000000000
radius_sigma 0.0010000000
radius chi2term 30.6129453342
M_H 0.0137194191
M_H_obs 0.0000000000
M_H_sigma 0.0010000000
M_H chi2term 188.2224594480
log_R -0.0024095786
delta_nu 142.6734830869
nu_max 3144.5557719836
a_div_r 0.0000000000E+00
correction_r 0.0000000000E+00
initial_mass 1.0000000000
initial_Y 0.2639234877
initial_FeH 0.0687309476
alpha 2.1110729980
f_ov 0.0000000000
age 4.5695000000E+09
chi^2 spectro 333406.2784682607
model number 484
save best model results to outputs/sample_0008.data
current set of sample results
1 2 3 4 5 6 7 8
samples version_number compiler build MESA_SDK_version math_backend date search_type
8 "2b91b1c" "gfortran" "13.3.0" "x86_64-linux-24.7.1" "CRMATH" "20250328" "newuoa"
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
sample chi2 initial_mass initial_Y initial_FeH alpha f_ov age model_number Teff radius M_H log_R delta_nu nu_max a_div_r correction_r chi2_seismo chi2_spectro nl0 nl1 nl2 nl3 ratios_n ratios_l0_first ratios_l1_first
5 3.3333875998557796E+05 1.0000000000000000E+00 2.6100000000000001E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6187368615174300E+03 1.0010042019475052E+00 3.9078811628111155E-03 4.3590053504746377E-04 1.4131272100398294E+02 3.1134409186000375E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3333875998557796E+05 0 0 0 0 0 0 0 4 3.3337679267851455E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.1349999999999998E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.7165483620721916E+03 1.0114129281998994E+00 3.5086385890206696E-04 4.9285006214149557E-03 1.3913658568072677E+02 3.0234851123038447E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3337679267851455E+05 0 0 0 0 0 0 0 8 3.3340627846826072E+05 1.0000000000000000E+00 2.6392348767542945E-01 6.8730947586043381E-02 2.1110729980021574E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.6543575099531445E+03 9.9446710335048705E-01 1.3719419063795851E-02 -2.4095786226586281E-03 1.4267348308685942E+02 3.1445557719835747E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3340627846826072E+05 0 0 0 0 0 0 0 1 3.3351283960191312E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6799294383768001E+03 1.0231407131234531E+00 -1.7395981942482778E-03 9.9353665865919549E-03 1.3680762272705550E+02 2.9640776267827341E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3351283960191312E+05 0 0 0 0 0 0 0 3 3.3365606602482282E+05 1.0000000000000000E+00 2.7000000000000002E-01 8.6999999999999994E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 479 5.6355878078368150E+03 1.0099970103007425E+00 2.9466215561476317E-02 4.3200882263932762E-03 1.3947582155333515E+02 3.0536692076805812E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3365606602482282E+05 0 0 0 0 0 0 0 7 3.3407039377753006E+05 1.0000000000000000E+00 2.7000000000000002E-01 5.9999999999999998E-02 1.7749999999999999E+00 0.0000000000000000E+00 4.5695000000000000E+09 480 5.6091122770903785E+03 1.0465194169961369E+00 -6.8647778499885117E-03 1.9747290597349639E-02 1.3234565759149035E+02 2.8509534669598975E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3407039377753006E+05 0 0 0 0 0 0 0 6 3.3418048986537510E+05 1.0000000000000000E+00 2.7000000000000002E-01 3.3000000000000002E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7205979558238105E+03 1.0372797593387533E+00 -3.3936545784300866E-02 1.5895903497352776E-02 1.3402431816161675E+02 2.8735532959072380E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3418048986537510E+05 0 0 0 0 0 0 0 2 3.3468070564325654E+05 1.0000000000000000E+00 2.8350000000000003E-01 5.9999999999999998E-02 2.0000000000000000E+00 0.0000000000000000E+00 4.5695000000000000E+09 484 5.7645719399272448E+03 1.0622782375814297E+00 -1.2788199776380623E-02 2.6238284372332898E-02 1.2938435093833220E+02 2.7294282123453299E+03 0.0000000000000000E+00 0.0000000000000000E+00 0.0000000000000000E+00 3.3468070564325654E+05 0 0 0 0 0 0 0
save_sample_results_to_file outputs/newuoa_results.data
DATE: 2025-03-28
TIME: 12:10:50
finished inlist_fast_newuoa_header
DATE: 2025-03-28
TIME: 12:10:50
finished
fast_newuoa run: test string matches after ./rn