The Impact of Galaxy-halo Size Relations on Galaxy Clustering Signals
Joshua B. Hill, Yao-Yuan Mao (U of Utah)

TL;DR
This study explores how the relation between galaxy sizes and dark matter halo properties influences galaxy clustering signals, revealing the complex role of halo assembly bias and the difficulty in pinpointing a single controlling halo property.
Contribution
It demonstrates that a simple linear galaxy size-halo radius relation, combined with subhalo abundance matching, implicitly incorporates halo assembly bias into clustering predictions.
Findings
Simple linear size-halo radius relation can match observed clustering.
Halo assembly bias affects galaxy clustering, especially at lower stellar masses.
Different halo assembly histories influence galaxy sizes and their clustering.
Abstract
Galaxies come in different sizes and morphologies, and these differences are thought to correlate with properties of their underlying dark matter halos. However, identifying the specific halo property that controls the galaxy size is a challenging task, especially because most halo properties depend on one another. In this work, we demonstrate this challenge by studying how the galaxy-halo size relations impact the galaxy clustering signals. We investigate the reason that a simple linear relation model, which prescribes that the galaxy size is linearly proportional to the dark matter halo's virial radius, can still produce clustering signals that match the observational data reasonably well. We find that this simple linear relation model for galaxy sizes, when combined with the subhalo abundance matching technique, introduces an implicit dependence on the halo formation history. As a…
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Taxonomy
TopicsWireless Communication Networks Research · Radio Wave Propagation Studies · Astronomical Observations and Instrumentation
