[mesa-users] The mass and radius of the Sun
Warrick Ball
wball at astro.physik.uni-goettingen.de
Wed Jan 27 10:38:12 EST 2016
Hi MESAlians,
This is a note on some fine-tuning of my solar calibrations that I thought
might be of community interest. And I'm hoping there might be some input
from list subscribers who've been calibrating solar models for longer than
I have!
To put this in context, MESA's test suite solar calibration makes use of
all sorts of information to calibrate a solar model. I wanted to do an
accurate "classical" solar calibration instead, where one varies the Sun's
initial metallicity, initial helium abundance, and mixing length parameter
to match its luminosity, radius and surface metallicity, at the Sun's
measured age (4.61 Gyr in MESA) and mass. But as an extra constraint, I
wanted the final model to match low-order, low-degree solar oscillation
data about as well as the infamous Model S. This isn't a strict
requirement, but basically I wanted it to look okay to the eye.
The first attached inlists (for MESA star and star/astero) was my naive
attempt at doing this, some time ago. I've also attached one of the
best-fit models in FGONG format, and a plot of the frequency differences
from ADIPLS between this model and low-degree BiSON data [1,2]. As you
can see, there is a slight offset in the low-frequency modes. (The
growing systematic difference with frequency is the infamous surface
effect.) This low-frequency discrepancy always bugged me, so I was
inspired to return to it about 6 weeks ago. I decided to take a look at
the values being used for Model S' calibration and my own, and some
interesting differences start to appear...
First, what is the mass of the Sun? The mass of Model S is 1.989e33 g,
and MESA's constants module has Msun = msol = 1.9892e33 g. What we really
know precisely is the product G*Msun, the "standard gravitational
parameter", to quite impressive precision:
G*Msun = 1.32712440018(9) e26 cm^3/s^2
Okay, so what's G*Msun in MESA?
G*Msun(MESA) = 6.67428e-8 * 1.9892e33 = 1.32765e26
So my first change to the constants was to set my solar mass so that G*M
is its measured value. This demands M/Msun(MESA) ~= 0.999606.
Second, what's the radius of the Sun? The radius of Model S is 6.9599e10
cm, whereas MESA's constant module has 6.9598e10 cm. Not a big
difference. I glanced through the reference in the MESA papers (and code)
[3] and references therein, but my cursory glance didn't turn up where
MESA's value actually came from. With some more digging, I came across a
paper by Haberreiter, Schmutz & Kosovichev [4] in which they discuss the
difference between the seismic solar radius and photospheric (for want of
a better name) radius. Based on some detailed atmospheric modelling,
specifically close to the limb of the Sun, they conclude that the
photospheric value must be corrected to match the seismic value, which is
what should then be used for stellar models. Consulting their table, they
suggest a corrected solar radius of 6.95568e10 cm, which is what I plugged
into my solar calibration.
The second inlist has these changes made. Again, I've also attached the
FGONG file and a plot showing the frequency differences. As you can see,
they now basically match, at least to the extent that I desired.
Is this the end? Of course not! For a start, there's a chance I happen
to have cherry-picked appropriate values that solve my problem. Though
I'm pretty set on the solar mass, I'm still not perfectly satisfied with
how to choose the solar radius. I also haven't really mentioned the solar
luminosity yet. (For the time being, I'm using the recently-defined
nominal solar luminosity of 3.828e33 erg/s.) But most of all, my
convection zone boundary isn't quite in the right place: it's at 0.719
Rsun, rather than the helioseismic value of 0.713 ± 0.001 Rsun. So I'll
have a closer look at that later.
Hope that was interesting to someone!
Cheers,
Warrick
[1] http://adsabs.harvard.edu/abs/2009MNRAS.396L.100B
[2] http://adsabs.harvard.edu/abs/2014MNRAS.441.3009D
[3] http://adsabs.harvard.edu/abs/2005ApJ...618.1049B
[4] http://adsabs.harvard.edu/abs/2008ApJ...675L..53H
------------
Warrick Ball
Postdoc, Institut für Astrophysik Göttingen
wball at astro.physik.uni-goettingen.de
+49 (0) 551 39 5069
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&star_job ! inlist_astero
show_log_description_at_start = .false.
load_saved_model = .false. ! .true.
saved_model_name = 'astero_test.mod'
save_model_when_terminate = .false. ! .true.
save_model_filename = 'final.mod'
write_profile_when_terminate = .true.
filename_for_profile_when_terminate = 'final_profile.data'
create_pre_main_sequence_model = .true.
pre_ms_T_c = 9e5
change_initial_net = .true. ! switch nuclear reaction network
new_net_name = 'o18_and_ne22.net'
set_rate_c12ag = 'Kunz'
set_rate_n14pg = 'jina reaclib'
kappa_file_prefix = 'gs98' ! 'a09'
kappa_lowT_prefix = 'lowT_fa05_gs98' ! for lower temperatures.
change_lnPgas_flag = .true.
new_lnPgas_flag = .true.
pgstar_flag = .false.
/ ! end of star_job namelist
&controls
! check for retries and backups as part of test_suite
! you can/should delete this for use outside of test_suite
calculate_Brunt_N2 = .true.
num_cells_for_smooth_brunt_B = 0
!sig_min_factor_for_neg_abundances = 1d0
which_atm_option = 'photosphere_tables'
! timesteps
! max_timestep = 3.15d15 ! in seconds. max_timestep <= 0 means no upper limit.
! varcontrol_target = 1d-4
max_years_for_timestep = 1d7
varcontrol_target = 1d-3
max_timestep_factor = 2d0
delta_lgT_cntr_limit = 0.1
delta_lgRho_cntr_limit = 0.5
! atomic diffusion
do_element_diffusion = .true. ! determines whether or not we do diffusion
diffusion_dt_limit = 7d11 ! no element diffusion if dt < this limit (in seconds)
diffusion_T_full_on = 1d3
diffusion_T_full_off = 1d3
diffusion_calculates_ionization = .true.
diffusion_num_classes = 4 ! number of classes of species for diffusion calculations
diffusion_class_representative(1) = 'h1'
diffusion_class_representative(2) = 'he4'
diffusion_class_representative(3) = 'o16'
diffusion_class_representative(4) = 'fe56'
! in ascending order. species goes into 1st class with A_max >= species A
diffusion_class_A_max(1) = 2
diffusion_class_A_max(2) = 4
diffusion_class_A_max(3) = 16
diffusion_class_A_max(4) = 10000
! mesh adjustment
mesh_delta_coeff = 0.5
! controls for output
photostep = 10
profile_interval = 100
history_interval = 10
terminal_interval = 10
write_header_frequency = 10
/ ! end of controls namelist
&pgstar
! top level controls
!pause = .true.
! if true, the code waits for user to enter a RETURN on the command line
! make up a grid plot with echelle, TRho_Profile, Mode_Prop, logg_Teff
Grid9_win_flag = .true.
Grid9_win_width = 11
Grid9_win_aspect_ratio = 0.7 ! aspect_ratio = height/width
Grid9_num_cols = 2 ! divide plotting region into this many equal width cols
Grid9_num_rows = 11 ! divide plotting region into this many equal height rows
Grid9_num_plots = 5 ! <= 10
Grid9_xleft = 0.15 ! fraction of full window width for margin on left
Grid9_xright = 0.85 ! fraction of full window width for margin on right
Grid9_ybot = 0.02 ! fraction of full window width for margin on bottom
Grid9_ytop = 0.91 ! fraction of full window width for margin on top
Grid9_title = 'HD49385'
Grid9_plot_name(1) = 'Echelle'
Grid9_plot_row(1) = 1 ! number from 1 at top
Grid9_plot_rowspan(1) = 4 ! plot spans this number of rows
Grid9_plot_col(1) = 1 ! number from 1 at left
Grid9_plot_colspan(1) = 1 ! plot spans this number of columns
Grid9_plot_pad_left(1) = 0.0 ! fraction of full window width for padding on left
Grid9_plot_pad_right(1) = 0.05 ! fraction of full window width for padding on right
Grid9_plot_pad_top(1) = 0.0 ! fraction of full window height for padding at top
Grid9_plot_pad_bot(1) = 0.09 ! fraction of full window height for padding at bottom
Grid9_txt_scale_factor(1) = 0.65 ! multiply txt_scale for subplot by this
Grid9_plot_name(2) = 'TRho_Profile'
Grid9_plot_row(2) = 5 ! number from 1 at top
Grid9_plot_rowspan(2) = 4 ! plot spans this number of rows
Grid9_plot_col(2) = 1 ! number from 1 at left
Grid9_plot_colspan(2) = 1 ! plot spans this number of columns
Grid9_plot_pad_left(2) = 0.00 ! fraction of full window width for padding on left
Grid9_plot_pad_right(2) = 0.05 ! fraction of full window width for padding on right
Grid9_plot_pad_top(2) = 0.05 ! fraction of full window height for padding at top
Grid9_plot_pad_bot(2) = 0.01 ! fraction of full window height for padding at bottom
Grid9_txt_scale_factor(2) = 0.65 ! multiply txt_scale for subplot by this
Grid9_plot_name(3) = 'Mode_Prop'
Grid9_plot_row(3) = 1 ! number from 1 at top
Grid9_plot_rowspan(3) = 4 ! plot spans this number of rows
Grid9_plot_col(3) = 2 ! number from 1 at left
Grid9_plot_colspan(3) = 1 ! plot spans this number of columns
Grid9_plot_pad_left(3) = 0.05 ! fraction of full window width for padding on left
Grid9_plot_pad_right(3) = 0.0 ! fraction of full window width for padding on right
Grid9_plot_pad_top(3) = 0.00 ! fraction of full window height for padding at top
Grid9_plot_pad_bot(3) = 0.09 ! fraction of full window height for padding at bottom
Grid9_txt_scale_factor(3) = 0.65 ! multiply txt_scale for subplot by this
Grid9_plot_name(4) = 'logg_Teff'
Grid9_plot_row(4) = 5 ! number from 1 at top
Grid9_plot_rowspan(4) = 4 ! plot spans this number of rows
Grid9_plot_col(4) = 2 ! number from 1 at left
Grid9_plot_colspan(4) = 1 ! plot spans this number of columns
Grid9_plot_pad_left(4) = 0.05 ! fraction of full window width for padding on left
Grid9_plot_pad_right(4) = 0.0 ! fraction of full window width for padding on right
Grid9_plot_pad_top(4) = 0.05 ! fraction of full window height for padding at top
Grid9_plot_pad_bot(4) = 0.01 ! fraction of full window height for padding at bottom
Grid9_txt_scale_factor(4) = 0.65 ! multiply txt_scale for subplot by this
Grid9_plot_name(5) = 'Text_Summary1'
Grid9_plot_row(5) = 9 ! number from 1 at top
Grid9_plot_rowspan(5) = 3 ! plot spans this number of rows
Grid9_plot_col(5) = 1 ! number from 1 at left
Grid9_plot_colspan(5) = 2 ! plot spans this number of columns
Grid9_plot_pad_right(5) = -0.081 ! fraction of full window width for padding on right
Grid9_txt_scale_factor(5) = 0.2 ! multiply txt_scale for subplot by this
Text_Summary1_name(4,4) = 'chi2'
Text_Summary1_name(5,4) = 'delta_nu_model'
! file output
!Grid9_file_flag = .true.
Grid9_file_dir = 'png'
Grid9_file_prefix = 'astero_'
Grid9_file_cnt = 1 ! output when mod(model_number,Grid9_file_cnt)==0
Grid9_file_width = -1 ! (inches) negative means use same value as for window
Grid9_file_aspect_ratio = -1 ! negative means use same value as for window
! dPg_dnu window -- delta_Pg vs. delta_nu
!dPg_dnu_win_flag = .true.
dPg_dnu_win_width = 7
dPg_dnu_win_aspect_ratio = 0.62 ! aspect_ratio = height/width
! axis limits -- to override system default selections
dPg_dnu_delta_nu_min = -101 ! only used if > -100
dPg_dnu_delta_nu_max = -101 ! only used if > -100
dPg_dnu_delta_Pg_min = -101 ! only used if > -100
dPg_dnu_delta_Pg_max = 200 ! only used if > -100
! file output
dPg_dnu_file_flag = .false.
dPg_dnu_file_dir = 'png'
dPg_dnu_file_prefix = 'dPg_dnu'
dPg_dnu_file_cnt = 5 ! output when mod(model_number,dPg_dnu_file_cnt)==0
dPg_dnu_file_width = -1 ! negative means use same value as for window
dPg_dnu_file_aspect_ratio = -1 ! negative means use same value as for window
! HR window -- lg_L vs. lg_Teff
!HR_win_flag = .true.
HR_win_width = 7
HR_win_aspect_ratio = 0.62 ! aspect_ratio = height/width
! axis limits -- to override system default selections
HR_logT_min = 3.74 ! -101 ! only used if > -100
HR_logT_max = 3.83 ! only used if > -100
HR_logL_min = 0.25 ! -101 ! only used if > -100
HR_logL_max = 0.84 ! -101 ! only used if > -100
show_HR_target_box = .true.
HR_target_n_sigma = -3
HR_target_logL = 0.67d0
HR_target_logL_sigma = 0.05d0
HR_target_logT = 3.785d0
HR_target_logT_sigma = 0.00461d0
! file output
HR_file_flag = .false.
HR_file_dir = 'pgstar_out'
HR_file_prefix = 'hr'
HR_file_cnt = 5 ! output when mod(model_number,HR_file_cnt)==0
HR_file_width = -1 ! negative means use same value as for window
HR_file_aspect_ratio = -1 ! negative means use same value as for window
! TRho Profile window -- current model in T-Rho plane
!TRho_Profile_win_flag = .true.
TRho_Profile_win_width = 7
TRho_Profile_win_aspect_ratio = 0.62 ! aspect_ratio = height/width
show_TRho_Profile_text_info = .false.
show_TRho_Profile_legend = .true.
show_TRho_Profile_burn_labels = .true.
show_TRho_Profile_mass_locs = .false.
show_TRho_Profile_kap_regions = .false.
show_TRho_Profile_eos_regions = .false.
show_TRho_Profile_degeneracy_line = .true.
show_TRho_Profile_Pgas_Prad_line = .true.
show_TRho_Profile_burn_lines = .true.
!show_TRho_Profile_annotation1 = .true.
annotation1_ci = 1 ! color index
annotation1_ch = 1.1 ! character height
annotation1_lw = 1 ! line width
annotation1_cf = 1 ! character font (1=sans serif, 2=roman, 3=italic, 4=script)
annotation1_side = 'T' ! T, B, L, or R
annotation1_disp = 2.8 ! displacement perpendicular to axis
annotation1_coord = 0.5 ! fractional location along axis
annotation1_fjust = 0.5 ! 0 => left justified, 0.5 => centered, 1 => right justified
annotation1_text = 'HD49385'
! axis limits
TRho_Profile_xmin = -10
TRho_Profile_xmax = 10
TRho_Profile_ymin = 3.0
TRho_Profile_ymax = 10
! file output
!TRho_Profile_file_flag = .true.
TRho_Profile_file_dir = 'png'
TRho_Profile_file_prefix = 'trho_profile'
TRho_Profile_file_cnt = 2 ! output when mod(model_number,TRho_Profile_file_cnt)==0
! Mode Propagation window
!Mode_Prop_win_flag = .true.
Mode_Prop_win_width = 6
Mode_Prop_win_aspect_ratio = 0.62 ! aspect_ratio = height/width
Mode_Prop_nu_max_obs = 1000
Mode_Prop_xaxis_name = 'r_div_R'
! power xaxis limits -- to override system default selections
Mode_Prop_xmin = -101 ! only used if > -100
Mode_Prop_xmax = 0.3 !-101 ! only used if > -100
! power yaxis limits -- to override system default selections
Mode_Prop_ymin = 2 ! -101 ! only used if > -100
Mode_Prop_ymax = 5 ! -101 ! only used if > -100
! file output
Mode_Prop_file_flag = .false.
Mode_Prop_file_dir = 'pgstar_out'
Mode_Prop_file_prefix = 'mode_prop'
Mode_Prop_file_cnt = 5 ! output when mod(model_number,Mode_Prop_file_cnt)==0
Mode_Prop_file_width = -1 ! negative means use same value as for window
Mode_Prop_file_aspect_ratio = -1 ! negative means use same value as for window
! logg_Teff window -- logg vs. Teff
logg_Teff_win_flag = .true.
logg_Teff_win_width = 7
logg_Teff_win_aspect_ratio = 0.62 ! aspect_ratio = height/width
show_logg_Teff_target_box = .true.
logg_Teff_target_n_sigma = -3
logg_Teff_target_logg = 4.00d0
logg_Teff_target_logg_sigma = 0.06d0
logg_Teff_target_Teff = 6095d0
logg_Teff_target_Teff_sigma = 65
! axis limits -- to override system default selections
logg_Teff_logg_min = 3.8 ! only used if > -100
logg_Teff_logg_max = 4.9 ! only used if > -100
logg_Teff_Teff_min = 4700 ! only used if > -100
logg_Teff_Teff_max = 6500 ! only used if > -100
! file output
logg_Teff_file_flag = .false.
logg_Teff_file_dir = 'pgstar_out'
logg_Teff_file_prefix = 'logg_Teff'
logg_Teff_file_cnt = 5 ! output when mod(model_number,logg_Teff_file_cnt)==0
logg_Teff_file_width = -1 ! negative means use same value as for window
logg_Teff_file_aspect_ratio = -1 ! negative means use same value as for window
! logg_logT window -- history of logg vs. log Teff
!logg_logT_win_flag = .true.
logg_logT_win_width = 7
logg_logT_win_aspect_ratio = 0.62 ! aspect_ratio = height/width
show_logg_logT_target_box = .true.
logg_logT_target_n_sigma = -3 ! -n means show sig 1..n
logg_logT_target_logg = 4.00d0
logg_logT_target_logg_sigma = 0.06d0
logg_logT_target_logT = 3.785d0
logg_logT_target_logT_sigma = 0.00461d0
! axis limits -- to override system default selections
logg_logT_logg_min = 3.8 ! only used if /= -101d0
logg_logT_logg_max = 4.4 ! only used if /= -101d0
logg_logT_logT_min = 3.74 ! only used if /= -101d0
logg_logT_logT_max = 3.83 ! only used if /= -101d0
! file output
logg_logT_file_flag = .false.
logg_logT_file_dir = 'png'
logg_logT_file_prefix = 'logg_logT_'
logg_logT_file_cnt = 5 ! output when mod(model_number,logg_logT_file_cnt)==0
logg_logT_file_width = -1 ! (inches) negative means use same value as for window
logg_logT_file_aspect_ratio = -1 ! negative means use same value as for window
/ ! end of pgstar namelist
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! PLEASE NOTE:
! see star/astero/defaults/astero_search_controls.defaults
! for current set of controls and their default values.
&astero_search_controls
! example based on HD49385, but modified for testing various new stuff
! the overall chi^2 is a combination of spectroscopic and seismic
! chi2 = chi2_seismo*chi2_seismo_fraction
! + chi2_spectro*(1 - chi2_seismo_fraction)
chi2_seismo_fraction = 0d0 ! 0.667d0
! chi2_spectro is an evenly weighted combination of Teff, logg, logT, and FeH
! only need to give values for target and sigma if include in chi^2
include_Teff_in_chi2_spectro = .false. ! .true.
Teff_target = 6095d0
Teff_sigma = 65d0
include_logg_in_chi2_spectro = .false.
logg_target = 3.97d0
logg_sigma = 0.02d0
include_logL_in_chi2_spectro = .true.
logL_target = 0.0d0 ! 0.67d0
logL_sigma = 0.001d0 ! 0.05d0
include_FeH_in_chi2_spectro = .true. ! [Fe/H]
FeH_target = 0.0d0 ! 0.09
FeH_sigma = 0.001d0 ! 0.05
! we calculate model [Fe/H] as = log10((Z/X)/Z_div_X_solar)
! using model surface average values for Z and X.
Z_div_X_solar = 0.02293d0
! NOTE: for plotting with pgstar loggTe window -- logg vs. Teff
! you need to set the following pgstar controls
! loggTe_target_logg
! loggTe_target_logg_sigma
! loggTe_target_Teff
! loggTe_target_Teff_sigma
! same if you are plotting HR window -- lg_L vs. lg_Teff
! you need to set the following pgstar controls
! HR_target_logL
! HR_target_logL_sigma
! HR_target_Teff
! HR_target_Teff_sigma
! optional extra chi2 terms -- e.g., can be used for solar calibration
! for simplicity, we lump these in with the chi2_spectro terms.
! only need to give values for target and sigma if include in chi^2
include_logR_in_chi2_spectro = .true. ! .false.
logR_target = 0.0d0
logR_sigma = 0.001d0 ! 1d-4
include_surface_Z_div_X_in_chi2_spectro = .false.
surface_Z_div_X_target = 2.292d-2 ! GS98 value
!surface_Z_div_X_target = 1.81d-2 ! Asplund 09 value
surface_Z_div_X_sigma = 1d-3
! reminder: surface_Z_div_X = surface_Z/surface_X
! and FeH = log10(surface_Z_div_X/Z_div_X_solar)
! where Z_div_X_solar is a parameter specified in this inlist
include_surface_He_in_chi2_spectro = .false.
surface_He_target = 0.2485d0 ! Bahcall, Serenelli, Basu, 2005
surface_He_sigma = 0.0034
include_age_in_chi2_spectro = .false.
age_target = 4.5695d9 ! (see Bahcall, Serenelli, and Basu, 2006)
age_sigma = 0.0065d9
! note: when include_age_in_chi2_spectro
! in your &astero_search_controls inlist
! set min_age_for_chi2 and max_age_for_chi2, and
! set eval_chi2_at_target_age_only = .false.
! in your &controls inlist
! set max_years_for_timestep
! but do not set max_age or num_adjusted_dt_steps_before_max_age.
! instead use the following:
num_smaller_steps_before_age_target = 50 ! only used if > 0
dt_for_smaller_steps_before_age_target = 0.0065d8 ! 1/10 age_sigma
! this should be << age_sigma
include_Rcz_in_chi2_spectro = .false. ! radius of base of convective zone
Rcz_target = 0.713d0 ! Bahcall, Serenelli, Basu, 2005
Rcz_sigma = 1d-3
include_csound_rms_in_chi2_spectro = .false. ! check sound profile
csound_rms_target = 0
csound_rms_sigma = 2d-6
report_csound_rms = .false.
! if true, then calculate and report even if not included in chi2
! to include user-defined variables in chi^2 spectro
! set the variable "my_var1" in your extras_check_model routine.
! use astero_data, only: my_var1, my_var2, my_var3
! my_var1 = ......
include_my_var1_in_chi2_spectro = .false.
my_var1_target = 0
my_var1_sigma = 0
my_var1_name = 'my_var1'
include_my_var2_in_chi2_spectro = .false.
my_var2_target = 0
my_var2_sigma = 0
my_var2_name = 'my_var2'
include_my_var3_in_chi2_spectro = .false.
my_var3_target = 0
my_var3_sigma = 0
my_var3_name = 'my_var3'
! chi2_seismo is a weighted combination of
! frequencies, ratios of frequencies, delta_nu, and nu_max
! you specify the weighting of the terms in chi2_seismo by setting the following
chi2_seismo_delta_nu_fraction = 0d0
! if > 0 then delta_nu and delta_nu_sigma must be set (see below)
chi2_seismo_nu_max_fraction = 0d0
! if > 0 then nu_max and nu_max_sigma must be set (see below)
chi2_seismo_r_010_fraction = 0d0
! if > 0, then include r_010 frequency ratios
chi2_seismo_r_02_fraction = 0d0
! if > 0, then include r_02 frequency ratios
! fraction for frequencies = 1 - (frac_r_010_ratios + frac_r_02_ratios + frac_delta_nu + frac_nu_max)
! naturally the fractions must all be between 0 and 1, else get error message.
trace_chi2_seismo_delta_nu_info = .false. ! if true, output info to terminal
trace_chi2_seismo_nu_max_info = .false. ! if true, output info to terminal
trace_chi2_seismo_ratios_info = .false. ! if true, output info to terminal
trace_chi2_seismo_frequencies_info = .false. ! if true, output info to terminal
trace_chi2_spectro_info = .false. ! if true, output info to terminal
! seismic data (frequencies in microHz)
nu_max = 3090 ! 1010
! nu_max is needed when
! chi2_seismo_nu_max_fraction > 0 or correction_factor > 0 (see below)
nu_max_sigma = -1
! nu_max_sigma is needed when chi2_seismo_nu_max_fraction > 0
delta_nu = 135.1 ! 56.28
delta_nu_sigma = 1.0
! delta_nu and delta_nu_sigma are both needed
! even when chi2_seismo_delta_nu_fraction == 0.
! That's because we can easily get delta_nu from the mesa/star model,
! so it is very useful as a filter to rule out models without the
! expense of getting even radial frequencies.
! if delta_nu in the inlist is > 0, then the code uses values for both
! delta_nu and delta_nu_sigma from the inlist.
! if delta_nu from inlist <= 0, then code estimates it
! by linear fit to the observed radial frequencies and orders, l0_obs and l0_n_obs.
! along with calculating delta_nu, if delta_nu_sigma from the inlist is <= 0, then
! the code also sets it by using the radial data.
! note that by setting delta_nu_sigma to a positive value and delta_nu to <= 0,
! you can have the code get delta_nu from the given l0_obs and l0_n_obs,
! while still using the delta_nu_sigma from the inlist.
! observed l=0 modes to match to model
nl0 = 0 ! number of observed l=0 modes
l0_obs(:) = 0 ! frequencies. set l0_obs(1), l0_obs(2) .... l0_obs(nl0)
l0_obs_sigma(:) = 0 ! l0_obs_sigma(i) is uncertainty for l0_obs(i), for i=1,nl0
! observed l=1 modes to match to model
nl1 = 0 ! number of observed l=1 modes
l1_obs(:) = 0 ! frequencies. set l1_obs(1), l1_obs(2) .... l1_obs(nl1)
l1_obs_sigma(:) = 0 ! l1_obs_sigma(i) is uncertainty for l1_obs(i), for i=1,nl1
! observed l=2 modes to match to model
nl2 = 0 ! number of observed l=2 modes
l2_obs(:) = 0 ! frequencies. set l2_obs(1), l2_obs(2) .... l2_obs(nl2)
l2_obs_sigma(:) = 0 ! l2_obs_sigma(i) is uncertainty for l2_obs(i), for i=1,nl2
! observed l=3 modes for matching to model
nl3 = 0 ! number of observed l=3 modes
l3_obs(:) = 0 ! frequencies. set l3_obs(1), l3_obs(2) .... l3_obs(nl3)
l3_obs_sigma(:) = 0 ! l3_obs_sigma(i) is uncertainty for l3_obs(i), for i=1,nl3
! search controls
eval_chi2_at_target_age_only = .true.
! set this true if you want chi2 only for a specific age and no others,
! in addition,
! set max_age
! set max_years_for_timestep
! set num_adjusted_dt_steps_before_max_age
age_target = 4.61d9 ! 4.57d9 after zams + 4d7 for pre-main-sequence
age_sigma = 1d7
num_smaller_steps_before_age_target = 200 ! only used if > 0
dt_for_smaller_steps_before_age_target = 1d6 ! 1/10 age_sigma
! use these if you only want to evaluate chi2 for a given range of ages
min_age_for_chi2 = -1 ! (years) only use if > 0
max_age_for_chi2 = -1 ! (years) only use if > 0
!search_type = 'use_first_values'
! this option means no search
! just do a single run using "first" values for mass, alpha, Y, ...
!search_type = 'scan_grid'
! eval chi^2 for each parameter combination
! that is within min to max with steps given by "delta"
! for a first rough scan, consider setting chi2_seismo_delta_nu_fraction = 1
! that skips the relatively costly calculations of frequencies
! and simply uses delta_nu along with spectro information.
! then you might follow up with medium resolution scans
! in smaller regions around candidates from the rough scan
! with chi2_seismo_delta_nu_fraction = 0 to include frequencies
! output goes to the following file when search_type = 'scan_grid'
scan_grid_output_filename = 'scan_grid_results.data'
restart_scan_grid_from_file = .false.
! if true, then reads the scan_grid_output file
! and continues from where that stopped.
! there are 3 types of optimization provided: simplex, newuoa, and bobyqa
search_type = 'simplex'
! search for minimal chi^2 model using Nelder-Mead simplex algorithm
! Nelder, J. A. and Mead, R.
! "A Simplex Method for Function Minimization."
! Comput. J. 7, 308-313, 1965.
! there are versions of this in Numerical Recipes under the name "amoeba",
! in Matlab under the name "fminsearch", and in Mathematica as an option for "NMminimize".
! our version has lots of bells and whistles and is, of course, superior to the others. ;)
!search_type = 'newuoa'
! M.J.D. Powell, "Developments of NEWUOA for unconstrained minimization without derivatives",
! Department of Applied Mathematics and Theoretical Physics, Cambridge, England, report NA05, 2007.
! search for minimal chi^2 model using Powell's NEWUOA algorithm
! unconstrained minimization without derivatives
! by quadratic polynomial approximation.
!search_type = 'bobyqa'
! M.J.D. Powell, "The BOBYQA algorithm for bound constrained optimization without derivatives",
! Department of Applied Mathematics and Theoretical Physics, Cambridge, England, report NA06, 2009.
! search for minimal chi^2 model using Powell's BOBYQA algorithm
! "BOBYQA" = Bounded Optimization BY Quadratic Approximation
! any location within the bounds is available for consideration.
! the two methods from Powell use quadratic interpolation,
! either unconstrained (NEWUOA) or bounded (BOBYQA).
! the Nelder-Mead SIMPLEX method doesn't do interpolation;
! instead it simply compares values and moves toward lower chi^2's
! and away from higher ones. in general, you can expect the
! Powell methods to be faster to converge than simplex if the chi^2
! terrain is not too "bumpy" (bumps confuse the interpolation).
! Since the simplex scheme doesn't do interpolation, bumps
! don't cause it trouble, so it may be more robust.
! if you are just getting started, go with simplex at first.
! try the interpolation methods when you have a very good
! candidate and want to look near it for even better results.
!search_type = 'simplex'
! terminate if reach max allowed iterations or function calls
simplex_itermax = 1000 ! each iteration revises the simplex
simplex_fcn_calls_max = 10000 ! may use several function calls per iteration
! each "function call" is a stellar evolution to give a chi^2
! terminate if simplex gets "small" enough
simplex_x_atol = 1d-10 ! tolerance for absolute differences
simplex_x_rtol = 1d-10 ! tolerance for relative differences
! if you want the details, here's the snippet of code.
! simplex(i,j) is value of i'th parameter for point j
! l is the index of the best point. there are n parameters and n+1 points.
! term_val_x = 0
! do j=1,n+1 ! check each point
! if (j == l) cycle ! l is the best point; so skip it
! do i=1,n ! check each coordinate of point j vs point l
! term1 = abs(simplex(i,j)-simplex(i,l)) / &
! (x_atol + x_rtol*max(abs(simplex(i,j)), abs(simplex(i,l))))
! if (term1 > term_val_x) term_val_x = term1
! end do
! end do
! if (term_val_x <= 1d0) exit ! converged
! terminate if best point has a chi^2 below simplex_chi2_tol
simplex_chi2_tol = 1d-10 ! tolerance for chi^2
! options
simplex_centroid_weight_power = 0d0
! each iteration starts by doing a reflection
! of the worst point through the centroid of the others.
! centroid points are weighted by (1/chi^2)**power
! power = 0 gives the standard unweighted centroid.
! power = 1 shifts the reflection toward the better points.
! in some (many? most?) cases, this shift improves convergence rate.
simplex_enforce_bounds = .false.
! if true, then points outside the bounds will be rejected without evaluation.
! if false, then bounds will only be used in creating the initial simplex
! and for adaptive random search.
simplex_adaptive_random_search = .false.
! this flag controls what is done if the standard options of reflect or contract
! fail to produce a improvement in the simplex.
! if true, test uniform random samples within the bounds until find a better point.
! if false, "shrink" the simplex toward the best point.
simplex_output_filename = 'simplex_results.data'
restart_simplex_from_file = .true. ! .false.
! if true, then reads the output file (simplex_output_filename)
! and continues from where that stopped
! using the best n+1 results as the initial simplex
! (where n is the number of parameters)
! NOTE: this restores the best simplex, but you may still
! see it rerun recent cases if they were not good enough to be
! included in the simplex. we don't restore the information
! about those failed attempts, so we need to rerun them.
simplex_seed = 1074698122 ! seed for random number generation
!search_type = 'newuoa'
! output goes to the following file when search_type = 'newuoa'
newuoa_output_filename = 'newuoa_results.data'
! search controls for bobyqa
! see mesa/num/public/num_newuoa for details
newuoa_rhoend = 1d-6
! this is the tolerance that determines relative accuracy of final values
! i.e., stops search when results are changing by less than this
!search_type = 'bobyqa'
! output goes to the following file when search_type = 'bobyqa'
bobyqa_output_filename = 'bobyqa_results.data'
! search controls for bobyqa
! see mesa/num/public/num_bobyqa for details
bobyqa_rhoend = 1d-6
! this is the tolerance that determines relative accuracy of final values
! i.e., stops search when results are changing by less than this
!search_type = 'from_file'
! this uses a file to provide a series of parameter combinations.
! the input file for the parameters is the following:
filename_for_parameters = 'undefined'
max_num_from_file = -1 ! if > 0, then stop after doing this many lines from file.
! for each line in the file after the 1st (which holds column names)
! for each parameter with vary_<Param> = .true.,
! set value of first_<Parama> to value from file.
! then run that set of parameters as if search_type = 'use_first_values'
! save the best chi^2 info for that set of parameters,
! then go to the next line in the file.
! stops when finishes the file or reaches "max_num_from_file"
! you need to say which columns in the file hold the various parameters.
! for example, if you file starts like the following:
! chi2 mass alpha init_Y init_FeH init_f_ov
! 654 0.81543178 1.35000000 1.76000000 0.27000000 0.21000000 0.01000000
! then set the column numbers like this
file_column_for_mass = 3
file_column_for_alpha = 4
file_column_for_Y = 5
file_column_for_FeH = 6
file_column_for_f_ov = 7
! note that if you are not varying one of the parameters, f_ov e.g.,
! then you don't need to set the file_col for that parameter.
! output goes to the following when search_type = 'from_file'
from_file_output_filename = 'from_file_results.data'
! status of Y -- parameter or function of Z
Y_depends_on_Z = .false.
! if false, then Y is a parameter like FeH.
! you should set vary_Y, first_Y, min_Y, and max_Y.
! if true, then Y depends on Z as follows: Y = Y0 + dYdZ*Z
! in this case, set vary_Y = .false.
! first_Y, min_Y, and max_Y are unused.
Y0 = 0.248d0
dYdZ = 1.4d0
! set these flags to specify which parameters will vary during searches
vary_mass = .false. ! initial mass
vary_FeH = .true. ! FeH = [Fe/H] = log10((Z/X)/Z_div_X_solar)
! Z and X are the initial uniform values
vary_Y = .true. ! Y the initial uniform value
vary_alpha = .true.
vary_f_ov = .false.
! >>>> NOTE: if "vary" is false, the "first" value is used for all runs.
! so you must set the first value even when you have vary = .false.
! use the following as the first values in searches
first_FeH = 0.08d0
first_Y = 0.2734d0
first_mass = 1d0
first_alpha = 1.908d0
first_f_ov = 0.0d0 ! 0.015
min_FeH = 0.0d0
min_Y = 0.24d0
min_mass = 0.95d0
min_alpha = 1.6d0
max_FeH = 0.16d0
max_Y = 0.32d0
max_mass = 1.05d0
max_alpha = 2.2d0
! search_type = 'scan_grid' uses this grid spacing
! note: grid spacing does not apply to other searches
delta_FeH = 0.03
delta_Y = 0.01
delta_mass = 0.01
delta_alpha = 0.1
delta_f_ov = 0
! calculating mode frequencies is a relatively costly process,
! so we don't want to do it for models that are not good candidates.
! i.e., we want to filter out the bad candidates using the following
! less expensive tests whenever possible.
! NOTE: if none of the models in a run pass these tests,
! then you will not get any total chi2 result for that run.
! in some situations that might not matter,
! but if you are eliminating too many candidates in this way,
! the search routines might not be getting enough valid results to work properly.
! So watch what you are doing! If your search or scan is getting lots of
! runs that fail to give chi^2 results, you'll need to adjust the limits.
! don't consider models that aren't old enough
min_age_limit = 1d8 ! 1d6
! don't consider models with L_nuc/L less than this limit
Lnuc_div_L_limit = 0.95 ! this rules out pre-zams models
! don't consider models with chi2_spectroscopic above this limit
chi2_spectroscopic_limit = 20
! don't consider models with chi2_delta_nu above this limit
chi2_delta_nu_limit = 20
! we calculate radial modes only if pass the previous checks
! calculating nonradial modes is much more expensive than radial ones.
! so we skip the nonradial calculation if the radial results are poor.
! don't consider models with chi2_radial above this limit
chi2_radial_limit = 30
! only calculate full chi^2 if pass all these limit checks
! adjust max timestep depending on how close to target
! NOTE: if you set the timestep limits too large you run the risk of missing good chi^2 cases.
! but if they are very small, you will spend a lot of runtime calculating lots of frequencies
! for lots of models. There is no standard set of best values for this.
! The choice will depend on the stage of evolution and how fast things are changing
! in the general region of the models with good chi2 values.
! There is no alternative to trying things and tuning the controls for your problem.
! these are just default values -- you will probably need to adjust them for your problem.
max_yrs_dt_when_cold = 1d7 ! when fail Lnuc/L, chi2_spectro, or ch2_delta_nu
max_yrs_dt_when_warm = 1d6 ! when pass previous but fail chi2_radial; < max_yrs_dt_when_cold
max_yrs_dt_when_hot = 1d5 ! when pass chi2_radial; < max_yrs_dt_when_warm
max_yrs_dt_chi2_small_limit = 5d4 ! < max_yrs_dt_when_hot
chi2_limit_for_small_timesteps = 30
max_yrs_dt_chi2_smaller_limit = 5d4 ! < max_yrs_dt_chi2_small_limit
chi2_limit_for_smaller_timesteps = -1d99 ! < chi2_limit_for_small_timesteps
max_yrs_dt_chi2_smallest_limit = 3d4 ! < max_yrs_dt_chi2_smaller_limit
chi2_limit_for_smallest_timesteps = -1d99 ! < chi2_limit_for_smaller_timesteps
! only calculate chi^2 if pass all the checks
! we need a way to decide when to stop an evolution run.
! the following limits are used for this.
! NOTE: we don't want to stop too soon, so these limits
! are only tested for models that are okay for the Lnuc_div_L_limit.
! logg_limit = logg_target + logg_sigma*sigmas_coeff_for_logg_limit
! logL_limit = logL_target + logL_sigma*sigmas_coeff_for_logL_limit
! Teff_limit = Teff_target + Teff_sigma*sigmas_coeff_for_Teff_limit
! logR_limit = logR_target + logR_sigma*sigmas_coeff_for_logR_limit
! surface_Z_div_X_limit = surface_Z_div_X_target +
! surface_Z_div_X_sigma*sigmas_coeff_for_surface_Z_div_X_limit
! surface_He_limit = surface_He_target + &
! surface_He_sigma*sigmas_coeff_for_surface_He_limit
! Rcz_limit = Rcz_target + Rcz_sigma*sigmas_coeff_for_Rcz_limit
! csound_rms_limit = csound_rms_target + &
! csound_rms_sigma*sigmas_coeff_for_csound_rms_limit
! delta_nu_limit = delta_nu + &
! delta_nu_sigma*sigmas_coeff_for_delta_nu_limit
! only use limits with sigma_coeff /= 0
! if the sigma_coeff is > 0, then stop when value is > limit
! if the sigma_coeff is < 0, then stop when value is < limit
! so use positive sigma_coeff for values that are increasing (such as logL)
! and negative ones for values that are decreasing (logg, Teff, delta_nu)
sigmas_coeff_for_logg_limit = 0 ! -5 ! disable by setting to 0
sigmas_coeff_for_logL_limit = 0 ! 5 ! disable by setting to 0
sigmas_coeff_for_Teff_limit = 0 ! -5 ! disable by setting to 0
sigmas_coeff_for_logR_limit = 0 ! disable by setting to 0
sigmas_coeff_for_surface_Z_div_X_limit = 0 ! disable by setting to 0
sigmas_coeff_for_surface_He_limit = 0 ! disable by setting to 0
sigmas_coeff_for_Rcz_limit = 0 ! disable by setting to 0
sigmas_coeff_for_csound_rms_limit = 0 ! disable by setting to 0
sigmas_coeff_for_delta_nu_limit = 0 ! -5 ! disable by setting to 0
sigmas_coeff_for_csound_rms_limit = 0 ! disable by setting to 0
sigmas_coeff_for_my_var1_limit = 0 ! disable by setting to 0
sigmas_coeff_for_my_var2_limit = 0 ! disable by setting to 0
sigmas_coeff_for_my_var3_limit = 0 ! disable by setting to 0
! you can stop the run if chi^2 is rising.
! here is a relative limit
chi2_relative_increase_limit = 2.0
limit_num_chi2_too_big = 20
! if limit_num_chi2_too_big consequtive chi2s
! are > chi2_relative_increase_limit times the best chi2 for the run,
! then stop the run.
! and here is an absolute limit
chi2_search_limit1 = 3.0
chi2_search_limit2 = 4.0
! if best chi2 for the run is <= chi2_search_limit1,
! then stop the run if chi2 >= chi2_search_limit2.
! if you are doing a search or scanning a grid, you can use previous results
! as a guide for when to stop a run
min_num_samples_for_avg = 2 ! want at least this many samples to form averages
max_num_samples_for_avg = 10 ! use this many of the best chi^2 samples for averages
! these use results for the best chi^2 model of the previous best samples
avg_age_sigma_limit = 5 ! stop if age > avg age + this limit times sigma of avg age
avg_model_number_sigma_limit = 5 ! ditto for model number
! surface corrections
correction_scheme = '' ! options are
! 'kjeldsen' Correction of Kjeldsen et al. (2008)
! 'cubic' Cubic correction of Ball & Gizon (2014, eqn 3)
! 'combined' Combined correction of Ball & Gizon (2014, eq 4)
! '' no corrections
correction_factor = 1
! use this fraction of the correction; set to 0 to skip doing corrections.
l0_n_obs(:) = -1 ! the observed radial orders (ignored if < 0)
! the observed radial orders are used in calculating surface corrections
! if <= 0, use default calculation for radial orders
correction_b = 4.25d0
save_next_best_at_higher_frequency = .true.
save_next_best_at_lower_frequency = .true.
! note: to set nu_max_sun or delta_nu_sun, see star/defaults/controls.defaults
! if you'd like to experiment with your own correction scheme,
! you can use the other_astero_freq_corr "hook" in mesa/star.
! output controls
write_best_model_data_for_each_sample = .true.
num_digits = 4 ! number of digits in sample number (with leading 0's)
sample_results_prefix = 'outputs/sample_'
! note that you can include a directory in the prefix if desired
sample_results_postfix = '.data'
model_num_digits = 4 ! number of digits in model number (with leading 0's)
write_fgong_for_each_model = .false.
fgong_prefix = 'fgong_'
! note that you can include a directory in the prefix if desired
fgong_postfix = '.data'
write_fgong_for_best_model = .true.
best_model_fgong_filename = 'best.fgong'
write_gyre_for_each_model = .false.
gyre_prefix = 'gyre_'
! note that you can include a directory in the prefix if desired
gyre_postfix = '.data'
max_num_gyre_points = -1 ! only used if > 1
write_gyre_for_best_model = .false.
best_model_gyre_filename = ''
write_profile_for_best_model = .false.
best_model_profile_filename = ''
save_model_for_best_model = .false.
best_model_save_model_filename = ''
save_info_for_last_model = .false. ! if true, treat final model as "best"
last_model_save_info_filename = '' ! and save info about final model to this file.
shell_script_for_each_sample = '' ! executed after at end of sample run
shell_script_num_string_char = '#' ! replace by num string for sample
! Do whatever you like in the script. e.g.,
! 'cp best.mod outputs/sample#_best.mod; cp LOGS/history.data outputs/sample#_history.data'
! miscellaneous
! trace limits
trace_limits = .false.
! if true, write info to terminal about status relative to various limits
! such as Teff_limit = Teff_target + Teff_sigma*sigmas_coeff_for_Teff_limit
! run will stop when Teff < Teff_limit.
! trace will write out values of Teff and Teff_limit
! same for other limits such as for logg, logL, delta_nu, etc.
! save all control settings to file
save_controls = .false. ! dumps &astero_search_controls controls to file
save_controls_filename = '' ! if empty, uses a default name
! composition control
Y_frac_he3 = 1d-4 ! = xhe3/(xhe3 + xhe4); Y = xhe3 + xhe4
! save an eigenfunction
save_mode_model_number = 0
save_mode_filename = ''
el_to_save = 0
order_to_save = 0
! options for input model to pulsation codes
add_atmosphere = .false.
! if true, then star adds atmosphere before passing model to adipls
! the atmosphere model is determined by the mesa/star control which_atm_option
! it should either be one of the T(tau) integration options or Paczynski_grey,
! scheme inspired by B. Paczynski, 1969, Acta Astr., vol. 19, 1.
! which takes into account radiation dilution when tau < 2/3,
keep_surface_point = .false.
! if true, keep k=1 point of model.
add_center_point = .true.
! if true, add point at r=0
! oscillation analysis
oscillation_code = 'adipls' ! or 'gyre' <<< lowercase
trace_time_in_oscillation_code = .false.
! gyre controls
gyre_input_file = 'gyre.in'
! comments from Rich on setting gyre controls
! I suggest setting freq_min to 0.9*MINVAL(l0_obs),
! and freq_max to 1.1*MAXVAL(l0_obs)
! (similarly for the other l values).
! freq_units should be 'UHZ',
! and set grid_type to 'LINEAR'.
! For n_freq, I suggest either setting it to 10*(freq_max - freq_min)/dfreq,
! where dfreq is the estimated frequency spacing; or, set it to 10*nl0.
! The factor 10 is arbitrary, but seems to be a good safety factor.
! adipls controls
do_redistribute_mesh = .false.
! note: number of zones for redistribute is set in redistrb.c.pruned.in
! if you set this false, then the mesh from star is used directly.
! if you set this true, then astero calls adipls redistb before doing
! the frequency analysis.
! iscan for adipls = the following factor times the given number of observed modes
iscan_factor_l0 = 15
iscan_factor_l1 = 15
iscan_factor_l2 = 15
iscan_factor_l3 = 15
! frequency range is set from observed frequencies times these factors
nu_lower_factor = 0.8
nu_upper_factor = 1.2
! adipls looks for frequencies in a given range and with a given "density" of coverage
! for example,
! for l=0, the adipls freq search range is nu_lower_factor*l0_obs(1) to nu_upper_factor*l0_obs(nl0)
! and it uses iscan = iscan_factor_l0*nl0 to determine how fine the scan is over the range.
! similar for l=1 and l=2
! misc adipls parameters for experts
adipls_irotkr = 0
adipls_nprtkr = 0
adipls_igm1kr = 0
adipls_npgmkr = 0
! include other inlists
read_extra_astero_search_inlist1 = .false.
extra_astero_search_inlist1_name = 'undefined'
! if read_extra_astero_search_inlist1 is true, then read this namelist file
read_extra_astero_search_inlist2 = .false.
extra_astero_search_inlist2_name = 'undefined'
! if read_extra_astero_search_inlist2 is true, then read this namelist file
read_extra_astero_search_inlist3 = .false.
extra_astero_search_inlist3_name = 'undefined'
! if read_extra_astero_search_inlist3 is true, then read this namelist file
read_extra_astero_search_inlist4 = .false.
extra_astero_search_inlist4_name = 'undefined'
! if read_extra_astero_search_inlist4 is true, then read this namelist file
read_extra_astero_search_inlist5 = .false.
extra_astero_search_inlist5_name = 'undefined'
! if read_extra_astero_search_inlist5 is true, then read this namelist file
/ ! end astero_search_controls
&astero_pgstar_controls
! PGSTAR Echelle plot
echelle_win_flag = .true.
echelle_win_width = 14
echelle_win_aspect_ratio = 0.62 ! aspect_ratio = height/width
echelle_xleft = 0.15
echelle_xright = 0.85
echelle_ybot = 0.15
echelle_ytop = 0.85
echelle_txt_scale = 1.0
echelle_title = 'Echelle'
echelle_delta_nu = 0 ! <= 0 means use seismic delta_nu from search inlist
!show_echelle_next_best_at_higher_frequency = .true.
!show_echelle_next_best_at_lower_frequency = .true.
!echelle_model_alt_y_shift = 0 ! shift the alt y coord by this much on plot
!show_echelle_annotation1 = .true.
show_echelle_annotation2 = .false.
show_echelle_annotation3 = .false.
! file output
!echelle_file_flag = .true.
echelle_file_dir = 'png'
echelle_file_prefix = 'echelle'
echelle_best_model_file_prefix = 'best_echelle' ! if non-empty save best chi^2 model file
! e.g. 'best_echelle'
! note: this is enabled even if echelle_file_flag = .false.
echelle_file_cnt = 1 ! output when mod(model_number,echelle_file_cnt)==0
echelle_file_width = -1 ! negative means use same value as for window
echelle_file_aspect_ratio = -1 ! negative means use same value as for window
! PGSTAR ratios plot
!ratios_win_flag = .true.
ratios_win_width = 6
ratios_win_aspect_ratio = 1.2 ! aspect_ratio = height/width
ratios_xleft = 0.15
ratios_xright = 0.85
ratios_ybot = 0.15
ratios_ytop = 0.85
ratios_txt_scale = 1.0
ratios_title = 'Ratios'
ratios_margin_sig_factor = 1 ! controls horizontal margin in units of max sigma
show_ratios_annotation1 = .true.
show_ratios_annotation2 = .false.
show_ratios_annotation3 = .false.
! file output
ratios_file_flag = .false.
ratios_file_dir = 'png'
ratios_file_prefix = 'ratios'
ratios_best_model_file_prefix = '' ! if non-empty save best chi^2 model file
! e.g., 'best_model_ratios'
! note: this is enabled even if ratios_file_flag = .false.
ratios_file_cnt = 5 ! output when mod(model_number,ratios_file_cnt)==0
ratios_file_width = -1 ! negative means use same value as for window
ratios_file_aspect_ratio = -1 ! negative means use same value as for window
/ ! end astero_pgstar_controls
-------------- next part --------------
FGONG file
1518 15 40 300
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! PLEASE NOTE:
! see star/astero/defaults/astero_search_controls.defaults
! for current set of controls and their default values.
&astero_search_controls
! example based on HD49385, but modified for testing various new stuff
! the overall chi^2 is a combination of spectroscopic and seismic
! chi2 = chi2_seismo*chi2_seismo_fraction
! + chi2_spectro*(1 - chi2_seismo_fraction)
chi2_seismo_fraction = 0d0 ! 0.667d0
! chi2_spectro is an evenly weighted combination of Teff, logg, logT, and FeH
! only need to give values for target and sigma if include in chi^2
include_Teff_in_chi2_spectro = .false. ! .true.
Teff_target = 6095d0
Teff_sigma = 65d0
include_logg_in_chi2_spectro = .false.
logg_target = 3.97d0
logg_sigma = 0.02d0
include_logL_in_chi2_spectro = .true.
logL_target = -0.0015628231030051884d0 ! 0.0d0 ! 0.67d0
logL_sigma = 0.001d0 ! 0.05d0
include_FeH_in_chi2_spectro = .true. ! [Fe/H]
FeH_target = 0.0d0 ! 0.09
FeH_sigma = 0.001d0 ! 0.05
! we calculate model [Fe/H] as = log10((Z/X)/Z_div_X_solar)
! using model surface average values for Z and X.
Z_div_X_solar = 0.02293d0
! NOTE: for plotting with pgstar loggTe window -- logg vs. Teff
! you need to set the following pgstar controls
! loggTe_target_logg
! loggTe_target_logg_sigma
! loggTe_target_Teff
! loggTe_target_Teff_sigma
! same if you are plotting HR window -- lg_L vs. lg_Teff
! you need to set the following pgstar controls
! HR_target_logL
! HR_target_logL_sigma
! HR_target_Teff
! HR_target_Teff_sigma
! optional extra chi2 terms -- e.g., can be used for solar calibration
! for simplicity, we lump these in with the chi2_spectro terms.
! only need to give values for target and sigma if include in chi^2
include_logR_in_chi2_spectro = .true. ! .false.
logR_target = -0.00025716587824841335d0 ! 0.0d0
logR_sigma = 0.001d0 ! 1d-4
include_surface_Z_div_X_in_chi2_spectro = .false.
surface_Z_div_X_target = 2.292d-2 ! GS98 value
!surface_Z_div_X_target = 1.81d-2 ! Asplund 09 value
surface_Z_div_X_sigma = 1d-3
! reminder: surface_Z_div_X = surface_Z/surface_X
! and FeH = log10(surface_Z_div_X/Z_div_X_solar)
! where Z_div_X_solar is a parameter specified in this inlist
include_surface_He_in_chi2_spectro = .false.
surface_He_target = 0.2485d0 ! Bahcall, Serenelli, Basu, 2005
surface_He_sigma = 0.0034
include_age_in_chi2_spectro = .false.
age_target = 4.5695d9 ! (see Bahcall, Serenelli, and Basu, 2006)
age_sigma = 0.0065d9
! note: when include_age_in_chi2_spectro
! in your &astero_search_controls inlist
! set min_age_for_chi2 and max_age_for_chi2, and
! set eval_chi2_at_target_age_only = .false.
! in your &controls inlist
! set max_years_for_timestep
! but do not set max_age or num_adjusted_dt_steps_before_max_age.
! instead use the following:
num_smaller_steps_before_age_target = 50 ! only used if > 0
dt_for_smaller_steps_before_age_target = 0.0065d8 ! 1/10 age_sigma
! this should be << age_sigma
include_Rcz_in_chi2_spectro = .false. ! radius of base of convective zone
Rcz_target = 0.713d0 ! Bahcall, Serenelli, Basu, 2005
Rcz_sigma = 1d-3
include_csound_rms_in_chi2_spectro = .false. ! check sound profile
csound_rms_target = 0
csound_rms_sigma = 2d-6
report_csound_rms = .false.
! if true, then calculate and report even if not included in chi2
! to include user-defined variables in chi^2 spectro
! set the variable "my_var1" in your extras_check_model routine.
! use astero_data, only: my_var1, my_var2, my_var3
! my_var1 = ......
include_my_var1_in_chi2_spectro = .false.
my_var1_target = 0
my_var1_sigma = 0
my_var1_name = 'my_var1'
include_my_var2_in_chi2_spectro = .false.
my_var2_target = 0
my_var2_sigma = 0
my_var2_name = 'my_var2'
include_my_var3_in_chi2_spectro = .false.
my_var3_target = 0
my_var3_sigma = 0
my_var3_name = 'my_var3'
! chi2_seismo is a weighted combination of
! frequencies, ratios of frequencies, delta_nu, and nu_max
! you specify the weighting of the terms in chi2_seismo by setting the following
chi2_seismo_delta_nu_fraction = 0d0
! if > 0 then delta_nu and delta_nu_sigma must be set (see below)
chi2_seismo_nu_max_fraction = 0d0
! if > 0 then nu_max and nu_max_sigma must be set (see below)
chi2_seismo_r_010_fraction = 0d0
! if > 0, then include r_010 frequency ratios
chi2_seismo_r_02_fraction = 0d0
! if > 0, then include r_02 frequency ratios
! fraction for frequencies = 1 - (frac_r_010_ratios + frac_r_02_ratios + frac_delta_nu + frac_nu_max)
! naturally the fractions must all be between 0 and 1, else get error message.
trace_chi2_seismo_delta_nu_info = .false. ! if true, output info to terminal
trace_chi2_seismo_nu_max_info = .false. ! if true, output info to terminal
trace_chi2_seismo_ratios_info = .false. ! if true, output info to terminal
trace_chi2_seismo_frequencies_info = .false. ! if true, output info to terminal
trace_chi2_spectro_info = .false. ! if true, output info to terminal
! seismic data (frequencies in microHz)
nu_max = 3090 ! 1010
! nu_max is needed when
! chi2_seismo_nu_max_fraction > 0 or correction_factor > 0 (see below)
nu_max_sigma = -1
! nu_max_sigma is needed when chi2_seismo_nu_max_fraction > 0
delta_nu = 135.1 ! 56.28
delta_nu_sigma = 1.0
! delta_nu and delta_nu_sigma are both needed
! even when chi2_seismo_delta_nu_fraction == 0.
! That's because we can easily get delta_nu from the mesa/star model,
! so it is very useful as a filter to rule out models without the
! expense of getting even radial frequencies.
! if delta_nu in the inlist is > 0, then the code uses values for both
! delta_nu and delta_nu_sigma from the inlist.
! if delta_nu from inlist <= 0, then code estimates it
! by linear fit to the observed radial frequencies and orders, l0_obs and l0_n_obs.
! along with calculating delta_nu, if delta_nu_sigma from the inlist is <= 0, then
! the code also sets it by using the radial data.
! note that by setting delta_nu_sigma to a positive value and delta_nu to <= 0,
! you can have the code get delta_nu from the given l0_obs and l0_n_obs,
! while still using the delta_nu_sigma from the inlist.
! observed l=0 modes to match to model
nl0 = 0 ! number of observed l=0 modes
l0_obs(:) = 0 ! frequencies. set l0_obs(1), l0_obs(2) .... l0_obs(nl0)
l0_obs_sigma(:) = 0 ! l0_obs_sigma(i) is uncertainty for l0_obs(i), for i=1,nl0
! observed l=1 modes to match to model
nl1 = 0 ! number of observed l=1 modes
l1_obs(:) = 0 ! frequencies. set l1_obs(1), l1_obs(2) .... l1_obs(nl1)
l1_obs_sigma(:) = 0 ! l1_obs_sigma(i) is uncertainty for l1_obs(i), for i=1,nl1
! observed l=2 modes to match to model
nl2 = 0 ! number of observed l=2 modes
l2_obs(:) = 0 ! frequencies. set l2_obs(1), l2_obs(2) .... l2_obs(nl2)
l2_obs_sigma(:) = 0 ! l2_obs_sigma(i) is uncertainty for l2_obs(i), for i=1,nl2
! observed l=3 modes for matching to model
nl3 = 0 ! number of observed l=3 modes
l3_obs(:) = 0 ! frequencies. set l3_obs(1), l3_obs(2) .... l3_obs(nl3)
l3_obs_sigma(:) = 0 ! l3_obs_sigma(i) is uncertainty for l3_obs(i), for i=1,nl3
! search controls
eval_chi2_at_target_age_only = .true.
! set this true if you want chi2 only for a specific age and no others,
! in addition,
! set max_age
! set max_years_for_timestep
! set num_adjusted_dt_steps_before_max_age
age_target = 4.61d9 ! 4.57d9 after zams + 4d7 for pre-main-sequence
age_sigma = 1d7
num_smaller_steps_before_age_target = 200 ! only used if > 0
dt_for_smaller_steps_before_age_target = 1d6 ! 1/10 age_sigma
! use these if you only want to evaluate chi2 for a given range of ages
min_age_for_chi2 = -1 ! (years) only use if > 0
max_age_for_chi2 = -1 ! (years) only use if > 0
!search_type = 'use_first_values'
! this option means no search
! just do a single run using "first" values for mass, alpha, Y, ...
!search_type = 'scan_grid'
! eval chi^2 for each parameter combination
! that is within min to max with steps given by "delta"
! for a first rough scan, consider setting chi2_seismo_delta_nu_fraction = 1
! that skips the relatively costly calculations of frequencies
! and simply uses delta_nu along with spectro information.
! then you might follow up with medium resolution scans
! in smaller regions around candidates from the rough scan
! with chi2_seismo_delta_nu_fraction = 0 to include frequencies
! output goes to the following file when search_type = 'scan_grid'
scan_grid_output_filename = 'scan_grid_results.data'
restart_scan_grid_from_file = .false.
! if true, then reads the scan_grid_output file
! and continues from where that stopped.
! there are 3 types of optimization provided: simplex, newuoa, and bobyqa
search_type = 'simplex'
! search for minimal chi^2 model using Nelder-Mead simplex algorithm
! Nelder, J. A. and Mead, R.
! "A Simplex Method for Function Minimization."
! Comput. J. 7, 308-313, 1965.
! there are versions of this in Numerical Recipes under the name "amoeba",
! in Matlab under the name "fminsearch", and in Mathematica as an option for "NMminimize".
! our version has lots of bells and whistles and is, of course, superior to the others. ;)
!search_type = 'newuoa'
! M.J.D. Powell, "Developments of NEWUOA for unconstrained minimization without derivatives",
! Department of Applied Mathematics and Theoretical Physics, Cambridge, England, report NA05, 2007.
! search for minimal chi^2 model using Powell's NEWUOA algorithm
! unconstrained minimization without derivatives
! by quadratic polynomial approximation.
!search_type = 'bobyqa'
! M.J.D. Powell, "The BOBYQA algorithm for bound constrained optimization without derivatives",
! Department of Applied Mathematics and Theoretical Physics, Cambridge, England, report NA06, 2009.
! search for minimal chi^2 model using Powell's BOBYQA algorithm
! "BOBYQA" = Bounded Optimization BY Quadratic Approximation
! any location within the bounds is available for consideration.
! the two methods from Powell use quadratic interpolation,
! either unconstrained (NEWUOA) or bounded (BOBYQA).
! the Nelder-Mead SIMPLEX method doesn't do interpolation;
! instead it simply compares values and moves toward lower chi^2's
! and away from higher ones. in general, you can expect the
! Powell methods to be faster to converge than simplex if the chi^2
! terrain is not too "bumpy" (bumps confuse the interpolation).
! Since the simplex scheme doesn't do interpolation, bumps
! don't cause it trouble, so it may be more robust.
! if you are just getting started, go with simplex at first.
! try the interpolation methods when you have a very good
! candidate and want to look near it for even better results.
!search_type = 'simplex'
! terminate if reach max allowed iterations or function calls
simplex_itermax = 1000 ! each iteration revises the simplex
simplex_fcn_calls_max = 10000 ! may use several function calls per iteration
! each "function call" is a stellar evolution to give a chi^2
! terminate if simplex gets "small" enough
simplex_x_atol = 1d-10 ! tolerance for absolute differences
simplex_x_rtol = 1d-10 ! tolerance for relative differences
! if you want the details, here's the snippet of code.
! simplex(i,j) is value of i'th parameter for point j
! l is the index of the best point. there are n parameters and n+1 points.
! term_val_x = 0
! do j=1,n+1 ! check each point
! if (j == l) cycle ! l is the best point; so skip it
! do i=1,n ! check each coordinate of point j vs point l
! term1 = abs(simplex(i,j)-simplex(i,l)) / &
! (x_atol + x_rtol*max(abs(simplex(i,j)), abs(simplex(i,l))))
! if (term1 > term_val_x) term_val_x = term1
! end do
! end do
! if (term_val_x <= 1d0) exit ! converged
! terminate if best point has a chi^2 below simplex_chi2_tol
simplex_chi2_tol = 1d-10 ! tolerance for chi^2
! options
simplex_centroid_weight_power = 0d0
! each iteration starts by doing a reflection
! of the worst point through the centroid of the others.
! centroid points are weighted by (1/chi^2)**power
! power = 0 gives the standard unweighted centroid.
! power = 1 shifts the reflection toward the better points.
! in some (many? most?) cases, this shift improves convergence rate.
simplex_enforce_bounds = .false.
! if true, then points outside the bounds will be rejected without evaluation.
! if false, then bounds will only be used in creating the initial simplex
! and for adaptive random search.
simplex_adaptive_random_search = .false.
! this flag controls what is done if the standard options of reflect or contract
! fail to produce a improvement in the simplex.
! if true, test uniform random samples within the bounds until find a better point.
! if false, "shrink" the simplex toward the best point.
simplex_output_filename = 'simplex_results.data'
restart_simplex_from_file = .false.
! if true, then reads the output file (simplex_output_filename)
! and continues from where that stopped
! using the best n+1 results as the initial simplex
! (where n is the number of parameters)
! NOTE: this restores the best simplex, but you may still
! see it rerun recent cases if they were not good enough to be
! included in the simplex. we don't restore the information
! about those failed attempts, so we need to rerun them.
simplex_seed = 1074698122 ! seed for random number generation
!search_type = 'newuoa'
! output goes to the following file when search_type = 'newuoa'
newuoa_output_filename = 'newuoa_results.data'
! search controls for bobyqa
! see mesa/num/public/num_newuoa for details
newuoa_rhoend = 1d-6
! this is the tolerance that determines relative accuracy of final values
! i.e., stops search when results are changing by less than this
!search_type = 'bobyqa'
! output goes to the following file when search_type = 'bobyqa'
bobyqa_output_filename = 'bobyqa_results.data'
! search controls for bobyqa
! see mesa/num/public/num_bobyqa for details
bobyqa_rhoend = 1d-6
! this is the tolerance that determines relative accuracy of final values
! i.e., stops search when results are changing by less than this
!search_type = 'from_file'
! this uses a file to provide a series of parameter combinations.
! the input file for the parameters is the following:
filename_for_parameters = 'undefined'
max_num_from_file = -1 ! if > 0, then stop after doing this many lines from file.
! for each line in the file after the 1st (which holds column names)
! for each parameter with vary_<Param> = .true.,
! set value of first_<Parama> to value from file.
! then run that set of parameters as if search_type = 'use_first_values'
! save the best chi^2 info for that set of parameters,
! then go to the next line in the file.
! stops when finishes the file or reaches "max_num_from_file"
! you need to say which columns in the file hold the various parameters.
! for example, if you file starts like the following:
! chi2 mass alpha init_Y init_FeH init_f_ov
! 654 0.81543178 1.35000000 1.76000000 0.27000000 0.21000000 0.01000000
! then set the column numbers like this
file_column_for_mass = 3
file_column_for_alpha = 4
file_column_for_Y = 5
file_column_for_FeH = 6
file_column_for_f_ov = 7
! note that if you are not varying one of the parameters, f_ov e.g.,
! then you don't need to set the file_col for that parameter.
! output goes to the following when search_type = 'from_file'
from_file_output_filename = 'from_file_results.data'
! status of Y -- parameter or function of Z
Y_depends_on_Z = .false.
! if false, then Y is a parameter like FeH.
! you should set vary_Y, first_Y, min_Y, and max_Y.
! if true, then Y depends on Z as follows: Y = Y0 + dYdZ*Z
! in this case, set vary_Y = .false.
! first_Y, min_Y, and max_Y are unused.
Y0 = 0.248d0
dYdZ = 1.4d0
! set these flags to specify which parameters will vary during searches
vary_mass = .false. ! initial mass
vary_FeH = .true. ! FeH = [Fe/H] = log10((Z/X)/Z_div_X_solar)
! Z and X are the initial uniform values
vary_Y = .true. ! Y the initial uniform value
vary_alpha = .true.
vary_f_ov = .false.
! >>>> NOTE: if "vary" is false, the "first" value is used for all runs.
! so you must set the first value even when you have vary = .false.
! use the following as the first values in searches
first_FeH = 0.061703706205804218d0 ! 0.08d0
first_Y = 0.27236818238514715d0 ! 0.2734d0
first_mass = 0.9996057859404953d0 ! 1d0
first_alpha = 1.8593180708847359d0 ! 1.908d0
first_f_ov = 0.0d0 ! 0.015
min_FeH = 0.06d0
min_Y = 0.27d0
min_mass = 0.95d0
min_alpha = 1.83d0
max_FeH = 0.064d0
max_Y = 0.276d0
max_mass = 1.05d0
max_alpha = 1.9d0
! search_type = 'scan_grid' uses this grid spacing
! note: grid spacing does not apply to other searches
delta_FeH = 0.03
delta_Y = 0.01
delta_mass = 0.01
delta_alpha = 0.1
delta_f_ov = 0
! calculating mode frequencies is a relatively costly process,
! so we don't want to do it for models that are not good candidates.
! i.e., we want to filter out the bad candidates using the following
! less expensive tests whenever possible.
! NOTE: if none of the models in a run pass these tests,
! then you will not get any total chi2 result for that run.
! in some situations that might not matter,
! but if you are eliminating too many candidates in this way,
! the search routines might not be getting enough valid results to work properly.
! So watch what you are doing! If your search or scan is getting lots of
! runs that fail to give chi^2 results, you'll need to adjust the limits.
! don't consider models that aren't old enough
min_age_limit = 1d8 ! 1d6
! don't consider models with L_nuc/L less than this limit
Lnuc_div_L_limit = 0.95 ! this rules out pre-zams models
! don't consider models with chi2_spectroscopic above this limit
chi2_spectroscopic_limit = 20
! don't consider models with chi2_delta_nu above this limit
chi2_delta_nu_limit = 20
! we calculate radial modes only if pass the previous checks
! calculating nonradial modes is much more expensive than radial ones.
! so we skip the nonradial calculation if the radial results are poor.
! don't consider models with chi2_radial above this limit
chi2_radial_limit = 30
! only calculate full chi^2 if pass all these limit checks
! adjust max timestep depending on how close to target
! NOTE: if you set the timestep limits too large you run the risk of missing good chi^2 cases.
! but if they are very small, you will spend a lot of runtime calculating lots of frequencies
! for lots of models. There is no standard set of best values for this.
! The choice will depend on the stage of evolution and how fast things are changing
! in the general region of the models with good chi2 values.
! There is no alternative to trying things and tuning the controls for your problem.
! these are just default values -- you will probably need to adjust them for your problem.
max_yrs_dt_when_cold = 1d7 ! when fail Lnuc/L, chi2_spectro, or ch2_delta_nu
max_yrs_dt_when_warm = 1d6 ! when pass previous but fail chi2_radial; < max_yrs_dt_when_cold
max_yrs_dt_when_hot = 1d5 ! when pass chi2_radial; < max_yrs_dt_when_warm
max_yrs_dt_chi2_small_limit = 5d4 ! < max_yrs_dt_when_hot
chi2_limit_for_small_timesteps = 30
max_yrs_dt_chi2_smaller_limit = 5d4 ! < max_yrs_dt_chi2_small_limit
chi2_limit_for_smaller_timesteps = -1d99 ! < chi2_limit_for_small_timesteps
max_yrs_dt_chi2_smallest_limit = 3d4 ! < max_yrs_dt_chi2_smaller_limit
chi2_limit_for_smallest_timesteps = -1d99 ! < chi2_limit_for_smaller_timesteps
! only calculate chi^2 if pass all the checks
! we need a way to decide when to stop an evolution run.
! the following limits are used for this.
! NOTE: we don't want to stop too soon, so these limits
! are only tested for models that are okay for the Lnuc_div_L_limit.
! logg_limit = logg_target + logg_sigma*sigmas_coeff_for_logg_limit
! logL_limit = logL_target + logL_sigma*sigmas_coeff_for_logL_limit
! Teff_limit = Teff_target + Teff_sigma*sigmas_coeff_for_Teff_limit
! logR_limit = logR_target + logR_sigma*sigmas_coeff_for_logR_limit
! surface_Z_div_X_limit = surface_Z_div_X_target +
! surface_Z_div_X_sigma*sigmas_coeff_for_surface_Z_div_X_limit
! surface_He_limit = surface_He_target + &
! surface_He_sigma*sigmas_coeff_for_surface_He_limit
! Rcz_limit = Rcz_target + Rcz_sigma*sigmas_coeff_for_Rcz_limit
! csound_rms_limit = csound_rms_target + &
! csound_rms_sigma*sigmas_coeff_for_csound_rms_limit
! delta_nu_limit = delta_nu + &
! delta_nu_sigma*sigmas_coeff_for_delta_nu_limit
! only use limits with sigma_coeff /= 0
! if the sigma_coeff is > 0, then stop when value is > limit
! if the sigma_coeff is < 0, then stop when value is < limit
! so use positive sigma_coeff for values that are increasing (such as logL)
! and negative ones for values that are decreasing (logg, Teff, delta_nu)
sigmas_coeff_for_logg_limit = 0 ! -5 ! disable by setting to 0
sigmas_coeff_for_logL_limit = 0 ! 5 ! disable by setting to 0
sigmas_coeff_for_Teff_limit = 0 ! -5 ! disable by setting to 0
sigmas_coeff_for_logR_limit = 0 ! disable by setting to 0
sigmas_coeff_for_surface_Z_div_X_limit = 0 ! disable by setting to 0
sigmas_coeff_for_surface_He_limit = 0 ! disable by setting to 0
sigmas_coeff_for_Rcz_limit = 0 ! disable by setting to 0
sigmas_coeff_for_csound_rms_limit = 0 ! disable by setting to 0
sigmas_coeff_for_delta_nu_limit = 0 ! -5 ! disable by setting to 0
sigmas_coeff_for_csound_rms_limit = 0 ! disable by setting to 0
sigmas_coeff_for_my_var1_limit = 0 ! disable by setting to 0
sigmas_coeff_for_my_var2_limit = 0 ! disable by setting to 0
sigmas_coeff_for_my_var3_limit = 0 ! disable by setting to 0
! you can stop the run if chi^2 is rising.
! here is a relative limit
chi2_relative_increase_limit = 2.0
limit_num_chi2_too_big = 20
! if limit_num_chi2_too_big consequtive chi2s
! are > chi2_relative_increase_limit times the best chi2 for the run,
! then stop the run.
! and here is an absolute limit
chi2_search_limit1 = 3.0
chi2_search_limit2 = 4.0
! if best chi2 for the run is <= chi2_search_limit1,
! then stop the run if chi2 >= chi2_search_limit2.
! if you are doing a search or scanning a grid, you can use previous results
! as a guide for when to stop a run
min_num_samples_for_avg = 2 ! want at least this many samples to form averages
max_num_samples_for_avg = 10 ! use this many of the best chi^2 samples for averages
! these use results for the best chi^2 model of the previous best samples
avg_age_sigma_limit = 5 ! stop if age > avg age + this limit times sigma of avg age
avg_model_number_sigma_limit = 5 ! ditto for model number
! surface corrections
correction_scheme = '' ! options are
! 'kjeldsen' Correction of Kjeldsen et al. (2008)
! 'cubic' Cubic correction of Ball & Gizon (2014, eqn 3)
! 'combined' Combined correction of Ball & Gizon (2014, eq 4)
! '' no corrections
correction_factor = 1
! use this fraction of the correction; set to 0 to skip doing corrections.
l0_n_obs(:) = -1 ! the observed radial orders (ignored if < 0)
! the observed radial orders are used in calculating surface corrections
! if <= 0, use default calculation for radial orders
correction_b = 4.25d0
save_next_best_at_higher_frequency = .true.
save_next_best_at_lower_frequency = .true.
! note: to set nu_max_sun or delta_nu_sun, see star/defaults/controls.defaults
! if you'd like to experiment with your own correction scheme,
! you can use the other_astero_freq_corr "hook" in mesa/star.
! output controls
write_best_model_data_for_each_sample = .true.
num_digits = 4 ! number of digits in sample number (with leading 0's)
sample_results_prefix = 'outputs/sample_'
! note that you can include a directory in the prefix if desired
sample_results_postfix = '.data'
model_num_digits = 4 ! number of digits in model number (with leading 0's)
write_fgong_for_each_model = .false.
fgong_prefix = 'fgong_'
! note that you can include a directory in the prefix if desired
fgong_postfix = '.data'
write_fgong_for_best_model = .true.
best_model_fgong_filename = 'best.fgong'
write_gyre_for_each_model = .false.
gyre_prefix = 'gyre_'
! note that you can include a directory in the prefix if desired
gyre_postfix = '.data'
max_num_gyre_points = -1 ! only used if > 1
write_gyre_for_best_model = .false.
best_model_gyre_filename = ''
write_profile_for_best_model = .false.
best_model_profile_filename = ''
save_model_for_best_model = .false.
best_model_save_model_filename = ''
save_info_for_last_model = .false. ! if true, treat final model as "best"
last_model_save_info_filename = '' ! and save info about final model to this file.
shell_script_for_each_sample = '' ! executed after at end of sample run
shell_script_num_string_char = '#' ! replace by num string for sample
! Do whatever you like in the script. e.g.,
! 'cp best.mod outputs/sample#_best.mod; cp LOGS/history.data outputs/sample#_history.data'
! miscellaneous
! trace limits
trace_limits = .false.
! if true, write info to terminal about status relative to various limits
! such as Teff_limit = Teff_target + Teff_sigma*sigmas_coeff_for_Teff_limit
! run will stop when Teff < Teff_limit.
! trace will write out values of Teff and Teff_limit
! same for other limits such as for logg, logL, delta_nu, etc.
! save all control settings to file
save_controls = .false. ! dumps &astero_search_controls controls to file
save_controls_filename = '' ! if empty, uses a default name
! composition control
Y_frac_he3 = 1d-4 ! = xhe3/(xhe3 + xhe4); Y = xhe3 + xhe4
! save an eigenfunction
save_mode_model_number = 0
save_mode_filename = ''
el_to_save = 0
order_to_save = 0
! options for input model to pulsation codes
add_atmosphere = .false.
! if true, then star adds atmosphere before passing model to adipls
! the atmosphere model is determined by the mesa/star control which_atm_option
! it should either be one of the T(tau) integration options or Paczynski_grey,
! scheme inspired by B. Paczynski, 1969, Acta Astr., vol. 19, 1.
! which takes into account radiation dilution when tau < 2/3,
keep_surface_point = .false.
! if true, keep k=1 point of model.
add_center_point = .true.
! if true, add point at r=0
! oscillation analysis
oscillation_code = 'adipls' ! or 'gyre' <<< lowercase
trace_time_in_oscillation_code = .false.
! gyre controls
gyre_input_file = 'gyre.in'
! comments from Rich on setting gyre controls
! I suggest setting freq_min to 0.9*MINVAL(l0_obs),
! and freq_max to 1.1*MAXVAL(l0_obs)
! (similarly for the other l values).
! freq_units should be 'UHZ',
! and set grid_type to 'LINEAR'.
! For n_freq, I suggest either setting it to 10*(freq_max - freq_min)/dfreq,
! where dfreq is the estimated frequency spacing; or, set it to 10*nl0.
! The factor 10 is arbitrary, but seems to be a good safety factor.
! adipls controls
do_redistribute_mesh = .false.
! note: number of zones for redistribute is set in redistrb.c.pruned.in
! if you set this false, then the mesh from star is used directly.
! if you set this true, then astero calls adipls redistb before doing
! the frequency analysis.
! iscan for adipls = the following factor times the given number of observed modes
iscan_factor_l0 = 15
iscan_factor_l1 = 15
iscan_factor_l2 = 15
iscan_factor_l3 = 15
! frequency range is set from observed frequencies times these factors
nu_lower_factor = 0.8
nu_upper_factor = 1.2
! adipls looks for frequencies in a given range and with a given "density" of coverage
! for example,
! for l=0, the adipls freq search range is nu_lower_factor*l0_obs(1) to nu_upper_factor*l0_obs(nl0)
! and it uses iscan = iscan_factor_l0*nl0 to determine how fine the scan is over the range.
! similar for l=1 and l=2
! misc adipls parameters for experts
adipls_irotkr = 0
adipls_nprtkr = 0
adipls_igm1kr = 0
adipls_npgmkr = 0
! include other inlists
read_extra_astero_search_inlist1 = .false.
extra_astero_search_inlist1_name = 'undefined'
! if read_extra_astero_search_inlist1 is true, then read this namelist file
read_extra_astero_search_inlist2 = .false.
extra_astero_search_inlist2_name = 'undefined'
! if read_extra_astero_search_inlist2 is true, then read this namelist file
read_extra_astero_search_inlist3 = .false.
extra_astero_search_inlist3_name = 'undefined'
! if read_extra_astero_search_inlist3 is true, then read this namelist file
read_extra_astero_search_inlist4 = .false.
extra_astero_search_inlist4_name = 'undefined'
! if read_extra_astero_search_inlist4 is true, then read this namelist file
read_extra_astero_search_inlist5 = .false.
extra_astero_search_inlist5_name = 'undefined'
! if read_extra_astero_search_inlist5 is true, then read this namelist file
/ ! end astero_search_controls
&astero_pgstar_controls
! PGSTAR Echelle plot
echelle_win_flag = .true.
echelle_win_width = 14
echelle_win_aspect_ratio = 0.62 ! aspect_ratio = height/width
echelle_xleft = 0.15
echelle_xright = 0.85
echelle_ybot = 0.15
echelle_ytop = 0.85
echelle_txt_scale = 1.0
echelle_title = 'Echelle'
echelle_delta_nu = 0 ! <= 0 means use seismic delta_nu from search inlist
!show_echelle_next_best_at_higher_frequency = .true.
!show_echelle_next_best_at_lower_frequency = .true.
!echelle_model_alt_y_shift = 0 ! shift the alt y coord by this much on plot
!show_echelle_annotation1 = .true.
show_echelle_annotation2 = .false.
show_echelle_annotation3 = .false.
! file output
!echelle_file_flag = .true.
echelle_file_dir = 'png'
echelle_file_prefix = 'echelle'
echelle_best_model_file_prefix = 'best_echelle' ! if non-empty save best chi^2 model file
! e.g. 'best_echelle'
! note: this is enabled even if echelle_file_flag = .false.
echelle_file_cnt = 1 ! output when mod(model_number,echelle_file_cnt)==0
echelle_file_width = -1 ! negative means use same value as for window
echelle_file_aspect_ratio = -1 ! negative means use same value as for window
! PGSTAR ratios plot
!ratios_win_flag = .true.
ratios_win_width = 6
ratios_win_aspect_ratio = 1.2 ! aspect_ratio = height/width
ratios_xleft = 0.15
ratios_xright = 0.85
ratios_ybot = 0.15
ratios_ytop = 0.85
ratios_txt_scale = 1.0
ratios_title = 'Ratios'
ratios_margin_sig_factor = 1 ! controls horizontal margin in units of max sigma
show_ratios_annotation1 = .true.
show_ratios_annotation2 = .false.
show_ratios_annotation3 = .false.
! file output
ratios_file_flag = .false.
ratios_file_dir = 'png'
ratios_file_prefix = 'ratios'
ratios_best_model_file_prefix = '' ! if non-empty save best chi^2 model file
! e.g., 'best_model_ratios'
! note: this is enabled even if ratios_file_flag = .false.
ratios_file_cnt = 5 ! output when mod(model_number,ratios_file_cnt)==0
ratios_file_width = -1 ! negative means use same value as for window
ratios_file_aspect_ratio = -1 ! negative means use same value as for window
/ ! end astero_pgstar_controls
-------------- next part --------------
FGONG file
1502 15 40 300
1.988415810E+33 6.955500339E+10 3.827959118E+33 1.999999955E-02 0.000000000E+00
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