Size-Luminosity Scaling Relations of Local and Distant Star Forming Regions
Maren Cosens, Shelley A. Wright, Etsuko Mieda, Norman Murray, Lee, Armus, Tuan Do, James E. Larkin, Kirsten Larson, Gregory Martinez, Gregory, Walth, and Andrey Vayner

TL;DR
This study analyzes star forming regions across different redshifts using Bayesian methods, revealing a consistent size-luminosity relation and a break related to star formation surface density, with implications for gravitational instability models.
Contribution
It provides the first comprehensive Bayesian analysis of size-luminosity relations in star forming regions across a wide redshift range, identifying a break based on star formation surface density.
Findings
No redshift evolution in size-luminosity relation.
Different power-law slopes for low and high star formation rate surface density clumps.
A model linking gravitational instability to observed scaling relations.
Abstract
We investigate star forming scaling relations using Bayesian inference on a comprehensive data sample of low- (z<0.1) and high-redshift (1<z<5) star forming regions. This full data set spans a wide range of host galaxy stellar mass () and clump star formation rates (SFR ). We fit the power-law relationship between the size (r) and luminosity (L) of the star forming clumps using the Bayesian statistical modeling tool Stan that makes use of Markov Chain Monte Carlo (MCMC) sampling techniques. Trends in the scaling relationship are explored for the full sample and subsets based on redshift and selection effects between samples. In our investigation we find no evidence of redshift evolution of the size-luminosity scaling relationship, nor a difference in slope between lensed and unlensed data. There…
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