SMART: spectral energy distributions Markov chain analysis with radiative transfer models

TL;DR

SMART is an open-source Bayesian MCMC code that fits galaxy spectral energy distributions using radiative transfer models, offering detailed insights into galaxy components with efficiency comparable to simpler methods.

Contribution

It introduces a novel SED fitting tool that exclusively uses radiative transfer models with efficient Bayesian analysis, suitable for JWST-era galaxy studies.

Findings

Successfully fitted 42 ULIRGs from HERUS sample

Matched spectral resolution of Spitzer data with models

Demonstrated versatility and performance of SMART

Abstract

In this paper we present the publicly available open-source spectral energy distribution (SED) fitting code SMART (Spectral energy distributions Markov chain Analysis with Radiative Transfer models). Implementing a Bayesian Markov chain Monte Carlo (MCMC) method, SMART fits the ultraviolet to millimetre SEDs of galaxies exclusively with radiative transfer models that currently constitute four types of pre-computed libraries, which describe the starburst, active galactic nucleus (AGN) torus, host galaxy and polar dust components. An important novelty of SMART is that, although it fits SEDs exclusively with radiative transfer models, it takes comparable time to popular energy balance methods to run. Here we describe the key features of SMART and test it by fitting the multi-wavelength SEDs of the 42 local ultraluminous infrared galaxies (ULIRGs) that constitute the HERschel Ultraluminous Infrared Galaxy Survey (HERUS) sample. The Spitzer spectroscopy data of the HERUS ULIRGs are included in the fitting at a spectral resolution, which is matched to that of the radiative transfer models. We also present other results that highlight the performance and versatility of SMART. SMART promises to be a useful tool for studying galaxy evolution in the JWST era. SMART is developed in PYTHON and is available at https://github.com/ch-var/SMART.git.