This package, inspired by HBSPS (Hierarchical Bayesian Stellar Population Synthesis), is devoted to inferring physical properties from spectroscopic and/or photometric data by performing SED fitting on a hierarchical basis.
Highly-flexible framework for performing stellar population synthetis.
A library for parameter estimation via Monte Carlo methods.
The current version assumes a single dust screen and single LOSVD for all SSP's that contribute to a given SED.
The star formation histories used to predict the SED can be divided into two groups.
- Exponential
- Delayed-tau
- Lognormal
- Fixed time bins
- Fixed mass fraction