Overview
Gsf is a flexible, python-based SED fitting code designed for extra-galactic science. gsf can fit photometric data points, simultaneously with grism spectra if provided, to get posterior probability of galaxy physical properties, such as stellar mass, dust attenuation, metallicity, as well as star formation and metallicity enrichment histories.
Since it involves a Markov-Chain Monte-Carlo (MCMC) process, it usually takes more time (~few min to ~hour depending on the number of parameters and length of MCMC chains) than other SED fitting codes based on chi-square minimization.
Basic Workflow
1. gsf generates a bunch of templates at z=0 based on either fsps or B-PASS (Rest-frame templates (Execution flag = 0)). It is here where you can specify critical parameters related to the templates (IMF, Metallicity, tau).
2. gsf shifts the templates generated above to the input redshift, both in wavelength and flux, to match up with observations, including convolution with input filters and morphology if grism data (Shifting templates to the input redshift (Execution flag = 1)).
gsf runs the MCMC step based on the minimization between data and provided templates (Fitting process).
gsf generates graphics (SED plot and history plot).
