The Intrinsic Scatter of Galaxy Scaling Relations
Connor Stone, St\'ephane Courteau, Nikhil Arora

TL;DR
This paper introduces a Bayesian framework to accurately measure the intrinsic scatter in galaxy scaling relations, improving understanding of galaxy properties and their evolutionary processes.
Contribution
A novel Bayesian method for computing intrinsic scatter in galaxy scaling relations that accounts for nonlinear errors and covariances, outperforming classical approaches.
Findings
Bayesian intrinsic scatters are ~25% more accurate than classical estimates.
Identified the tightest galaxy scaling relations based on intrinsic orthogonal scatter.
Most scatter in certain relations is intrinsic, useful for galaxy evolution studies.
Abstract
We present a compendium of disk galaxy scaling relations and a detailed characterization of their intrinsic scatter. Observed scaling relations are typically characterized by their slope, intercept, and scatter; however, these parameters are a mixture of observational errors and astrophysical processes. We introduce a novel Bayesian framework for computing the intrinsic scatter of scaling relations that accounts for nonlinear error propagation and covariant uncertainties. Bayesian intrinsic scatters are ~25percent more accurate than those obtained with a first-order classical method, which systematically underestimates the true intrinsic scatter. Structural galaxy scaling relations based on velocity (V23.5), size (R23.5), luminosity (L23.5), colour (g-z), central stellar surface density (Sigma1), stellar mass (M*), dynamical mass (Mdyn), stellar angular momentum (j*), and dynamical…
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