Accurate Model of the Projected Velocity Distribution of Galaxies in Dark Matter Halos
Han Aung, Daisuke Nagai, Eduardo Rozo, Brandon Wolfe, Susmita Adhikari

TL;DR
This paper introduces a highly accurate model for the line-of-sight velocity distribution of galaxies around dark matter halos, enabling better understanding of galaxy dynamics and halo properties from spectroscopic data.
Contribution
The authors develop a novel model that decomposes galaxy velocities into three classes and accurately recovers velocity profiles, improving analysis of galaxy-halo systems.
Findings
Successfully distinguishes galaxy types using velocity data
Halo edge radius correlates with three-dimensional measurements
Velocity dispersion profiles reveal mass-dependent parameters
Abstract
We present a percent-level accurate model of the line-of-sight velocity distribution of galaxies around dark matter halos as a function of projected radius and halo mass. The model is developed and tested using synthetic galaxy catalogs generated with the UniverseMachine run on the Multi-Dark Planck 2 N-body simulations. The model decomposes the galaxies around a cluster into three kinematically distinct classes: orbiting, infalling, and interloping galaxies. We demonstrate that: 1) we can statistically distinguish between these three types of galaxies using only projected line-of-sight velocity information; 2) the halo edge radius inferred from the line-of-sight velocity dispersion is an excellent proxy for the three-dimensional halo edge radius; 3) we can accurately recover the full velocity dispersion profile for each of the three populations of galaxies. Importantly, the velocity…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Impact of Light on Environment and Health · Adaptive optics and wavefront sensing
