Firefly (Fitting IteRativEly For Likelihood analYsis): a full spectral fitting code
David M. Wilkinson, Claudia Maraston, Daniel Goddard, Daniel Thomas,, Taniya Parikh

TL;DR
Firefly is a new spectral fitting code that accurately derives stellar population properties from spectroscopic data without priors or polynomial adjustments, effectively handling degeneracies and noise.
Contribution
It introduces a Bayesian information criterion-controlled iterative fitting method that maps spectral degeneracies and assesses robustness across various data qualities.
Findings
Successfully recovers age, metallicity, and stellar mass down to S/N of 5.
Effectively handles intrinsic spectral degeneracies like age and metallicity.
Robust against varying wavelength ranges and noise levels.
Abstract
We present a new spectral fitting code, Firefly, for deriving the stellar population properties of stellar systems. Firefly is a chi-squared minimisation fitting code that fits combinations of single-burst stellar population models to spectroscopic data, following an iterative best-fitting process controlled by the Bayesian Information Criterion. No priors are applied, rather all solutions within a statistical cut are retained with their weight. Moreover, no additive or multiplicative polynomia are employed to adjust the spectral shape. This fitting freedom is envisaged in order to map out the effect of intrinsic spectral energy distribution (SED) degeneracies, such as age, metallicity, dust reddening on galaxy properties, and to quantify the effect of varying input model components on such properties. Dust attenuation is included using a new procedure, which was tested on Integral…
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