Should zeros count? Modeling the galaxy-globular cluster scaling relation with(out) zero-inflated count models
Samantha C. Berek, Gwendolyn M. Eadie, Joshua S. Speagle, Shu Yan Wang

TL;DR
This study evaluates count models for galaxy globular cluster populations, finding that negative binomial models fit well across all galaxy masses without needing zero-inflation, indicating a unified formation process.
Contribution
It introduces zero-inflated count models to galaxy GC scaling relations and demonstrates their effectiveness in low-mass galaxies, challenging previous assumptions.
Findings
Negative binomial model fits data well
Zero inflation not necessary for low-mass galaxies
Galaxies without GCs are part of the same scaling relation
Abstract
The scaling relation between the size of a galaxy's globular cluster (GC) population () and the galaxy's stellar mass () is usually described with a continuous, linear model, but in reality it is a count relationship that should be modeled as such. For massive galaxies, a negative binomial (NB) model has been shown to describe the data well, but it is unclear how the scaling relation behaves at low galaxy masses where a substantial portion of galaxies have . In this work, we test the utility of Poisson and NB models for describing the low-mass end of the scaling relation. We introduce the use of zero-inflated versions of these models, which allow for larger zero populations (e.g. galaxies without GCs) than would otherwise be predicted. We evaluate our models with a variety of predictive model comparison methods, including predictive intervals,…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · demographic modeling and climate adaptation
