PREPRINT
46A4C8CF-F444-4E10-971A-19F0E6726C97

Bayesian hierarchical modelling of the M-SFR relation from 1

L. Sandles, E. Curtis-Lake, S. Charlot, J. Chevallard, R. Maiolino
arXiv:2207.06322

Submitted on 13 July 2022

Abstract

The Hubble Frontier Fields represent the opportunity to probe the high-redshift evolution of the main sequence of star-forming galaxies to lower masses than possible in blank fields thanks to foreground lensing of massive galaxy clusters. We use the BEAGLE SED-fitting code to derive stellar masses, M=log(M/M), SFRs, Ψ=log(ψ/Myr1) and redshifts from galaxies within the ASTRODEEP catalogue. We fit a fully Bayesian hierarchical model of the main sequence over $1.253$, measurements of the main sequence to low masses and high redshifts still strongly depend on priors employed in SED fitting (as well as other fitting assumptions). Future data-sets with JWST should improve this.

Preprint

Comment: MNRAS published

Subject: Astrophysics - Astrophysics of Galaxies

URL: https://arxiv.org/abs/2207.06322