Modelling and interpreting spectral energy distributions of galaxies with BEAGLE

TL;DR

BEAGLE is a versatile Bayesian tool for modeling and interpreting galaxy spectral energy distributions, integrating radiation production, transfer, and observational effects to derive physical parameters from diverse galaxy data.

Contribution

This work introduces BEAGLE, a flexible, modular Bayesian framework that simultaneously models galaxy emission, dust, and instrumental effects, enabling comprehensive analysis of galaxy observations.

Findings

BEAGLE provides photometric redshift estimates comparable to specialized codes.

The tool allows detailed characterization of model-observation deviations.

It is adaptable for future extensions like AGN and gas absorption modeling.

Abstract

We present a new-generation tool to model and interpret spectral energy distributions (SEDs) of galaxies, which incorporates in a consistent way the production of radiation and its transfer through the interstellar and intergalactic media. This flexible tool, named BEAGLE (for BayEsian Analysis of GaLaxy sEds), allows one to build mock galaxy catalogues as well as to interpret any combination of photometric and spectroscopic galaxy observations in terms of physical parameters. The current version of the tool includes versatile modeling of the emission from stars and photoionized gas, attenuation by dust and accounting for different instrumental effects, such as spectroscopic flux calibration and line spread function. We show a first application of the BEAGLE tool to the interpretation of broadband SEDs of a published sample of ${\sim}10^4$ galaxies at redshifts $0.1 \lesssim z\lesssim8$. We find that the constraints derived on photometric redshifts using this multi-purpose tool are comparable to those obtained using public, dedicated photometric-redshift codes and quantify this result in a rigorous statistical way. We also show how the post-processing of BEAGLE output data with the Python extension PYP-BEAGLE allows the characterization of systematic deviations between models and observations, in particular through posterior predictive checks. The modular design of the BEAGLE tool allows easy extensions to incorporate, for example, the absorption by neutral galactic and circumgalactic gas, and the emission from an active galactic nucleus, dust and shock-ionized gas. Information about public releases of the BEAGLE tool will be maintained on http://www.jacopochevallard.org/beagle.