Summary of Important Variables

Variable Location Default Range Description
Cosmology Parameters      
H_0 cosmology.py 69 Hubble Const (km/s/Mpc)
omega_m cosmology.py 0.31 Matter Density
omega_l cosmology.py 0.69 Dark Energy Density
Input Data Parameters      
use_input _data config.py True Do not ignore additional data in the input file
phot_floor _error config.py 0.05 Minimum fractional error for photometry
emline_floor _error config.py 0.05 Minimum fractional error for emission line fluxes
absindx_floor _error config.py 0.05 Minimum fractional error for absorption line indices
SSP Parameters      
ssp config.py fsps SSP Spectra
isochrone config.py padova SSP Isochrone
metallicity config.py 0.0077 [0.0001, 0.04] Galaxy Metallicity
Dust Attenuation Parameters      
dust_law config.py calzetti Attenuation Law (1 of 5 options)
EBV_old_young config.py 0.44 Extinction of diffuse component compared to that of birth clouds \(\eta\)
t_birth config.py 7 Attenuation age divider (log yr)
EBV dust_abs.py 0.15 [-0.5, 1.5] Reddening
Rv config.py \(-1\) Specific to attenuation law
delta dust_abs.py 0.0 [-1.0,+1.0] UV slope of Noll attenuation law
Eb dust_abs.py 2.5 [-0.2,6.0] Bump strength for Noll attenuation law
Dust Emission Parameters      
dust_em config.py DL07 Prescription for dust emission (1 of 1 option)
wave_dust_em config.py 2.5 Maximum wavelength to fit (microns)
assume_energy _balance config.py False [T,F] Boolean for balancing dust attenuation with emission
umin dust_emission.py 2.0 [0.1, 25.] U_min for the Draine & Li (2007) model
gamma dust_emission.py 0.05 [0.0, 1.0] γ for the Draine & Li (2007) model
qpah dust_emission.py 2.5 [0.47, 4.58] q_PAH for the Draine & Li (2007) model
mdust dust_emission.py 7.0 [4.5, 10.0] Log Dust Mass (fit if energy balance not assumed)
Star Formation History Parameters    
sfh config.py binned_lsfr Star Formation Rate History (1 of 7 options)
age sfh.py \(-0.5\) [-3,…] Log Age of the galaxy (Gyr)
logsfr sfh.py 1.0 [-3.0, +3.0] Current SFR (log solar masses per year)
tau sfh.py \(-1.5\) [-3.5, +3.5] E-folding timescale for exponential SFH
b sfh.py 2.0 [0.0, +5.0] Increasing power-law index for Behroozi et al. SFH
c sfh.py 1.0 [0.0, +5.0] Decreasing power-law index for Behroozi et al. SFH
taup sfh.py 2.4 [-3.0, +1.0] Timescale for Behroozi et al. SFH (Gyr)
burst_age sfh.py 7.2 [6.0, 7.5] Time since the burst (log yr)
burst_sigma sfh.py 0.4 [0.003, 0.5] Log-normal burst duration (log Gyr)
burst_strength sfh.py 5.0 [1.0, 10.0] Burst strength relative to mean SFR
age_locs sfh.py 6.5, 7.5, 8.5 Array of pivot points for polynomial SFH (log yr)
ages sfh.py 8.0, 8.5, 9.0, 9.5, 9.8, 10.12 Age bins limits for binned SFH (log yr)
ISM and IGM Parameters      
add_nebular config.py True Boolean for including nebular emission
logU config.py \(-2.5\) Ionization Parameter
emline_factor config.py 1.0e-17 Emission line conversion to ergs/cm²/s
ISM_correct _coords config.py None Valid Coord. System Coordinate system (string) of sources for Milky Way dust correction
IGM_correct config.py False [T,F] Boolean for applying correlation for IGM absorption
blue_wave _cutoff config.py 1216 Minimum wavelength to fit (Å)
Calculation Parameters      
sigma_m mcsed.py 0.1 Error term associated with the models
nwalkers config.py 100 Number of MCMC walkers
nsteps config.py 1000 Number of steps for each walker
progress_bar config.py False Show bar of fit progress
force_emcee _finish config.py True Force emcee to finish even if no convergence
burnin _fraction config.py 0.25 Fraction of nsteps to count as burnin, if force_ finish=True
reserved _cores config.py 2 In parallel, # cores = Total cores - Reserved cores
nobjects config.py 5 In test mode, number of objects to analyze
test_zrange config.py [1.0, 2.0] Range of redshifts for test objects
param _percentiles config.py 5, 16, 50, 84, 95 % of each parameter to report
separate_ stars_gas config.py False Return the stellar and nebular components
Output Parameters      
output_dict: parameters config.py True [T,F] Produce Summary File
output_dict: settings config.py True [T,F] List user-defined fitting assumptions
output_dict: fitposterior config.py False [T,F] Save all posterior probability distribs
output_dict: fullposterior config.py False [T,F] Save each walker, step, and parameter information
output_dict: bestfitspec config.py True [T,F] Save best-fitting SED
output_dict: fluxdensity config.py True [T,F] Save comparison of observed and modeled photometry
output_dict: lineflux config.py True [T,F] Save comparison of observed and modeled emission lines
output_dict: absindx config.py True [T,F] Save comparison of observed and modeled absorption indices
output_dict: triangle plot config.py True [T,F] Produce summary figure for each object
output_dict: sample plot config.py False [T,F] Save figure of parameter estimates for all MCMC chains
output_dict: template spec config.py True [T,F] Save figure of the age-weighted SSP spectra
output_dict: image format config.py .png Image format (1 of 9 options)