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[ascl:2510.012] SNITCH: Bayesian inference of star formation histories
SNITCH (bayeSian iNference given emIssion and absorpTion features of quenChing Histories) performs Bayesian inference of star formation histories using measured emission and absorption spectral features. The code ingests equivalent widths and spectral indices (e.g., EW[Hα], Dₙ4000, Hβ, Hδₐ, Mg Fe′) and, via a pre-computed look-up table generated with FSPS models, returns posterior estimates of parameters such as metallicity, quenching time and quenching rate. It uses emcee (ascl:1303.002) to explore parameter space, produces diagnostic plots of MCMC walkers and corner plots, and is configurable to suit custom spectral parameter sets and lookup-table ranges. Designed for application to integrated‐light or IFU galaxy spectra, SNITCH enables flexible adaptation for a variety of star‐formation-history studies.
Code site:
https://github.com/rjsmethurst/snitch
Described in:
https://ui.adsabs.harvard.edu/abs/2019MNRAS.484.3590S
Bibcode:
2025ascl.soft10012S


ascl:2510.012
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