Modeling Globular Cluster Counts with Bayesian Latent Models
Astrophysics of Galaxies
2026-04-06 v1 Instrumentation and Methods for Astrophysics
Abstract
We present a Bayesian latent model to describe the scaling relation between globular cluster populations and their host galaxies, updating the framework proposed in de Souza 2015. GC counts are drawn from a negative-binomial (NB) process linked to host stellar mass, augmented with a newly introduced Gaussian observation layer that enables efficient propagation of measurement errors. The revised formulation preserves the underlying NB process while improving computational tractability. The code snippets, implemented in Nimble and PyMC are released under the MIT license at https://github.com/COINtoolbox/Generalized-Linear-Models-Tutorial/blob/master/Count/readme.md
Keywords
Cite
@article{arxiv.2510.19409,
title = {Modeling Globular Cluster Counts with Bayesian Latent Models},
author = {Rafael S. de Souza and Ana L. Chies-Santos},
journal= {arXiv preprint arXiv:2510.19409},
year = {2026}
}
Comments
Accepted in Research Notes of AAS