The Spatial Distribution of Satellite Galaxies Within Halos: Measuring the Very Small Scale Angular Clustering of SDSS Galaxies
Jennifer A. Piscionere, Andreas A. Berlind, Cameron K. McBride, Roman, Scoccimarro

TL;DR
This study measures the very small scale angular clustering of SDSS galaxies to understand the spatial distribution of satellite galaxies within dark matter halos, revealing luminosity-dependent density profiles.
Contribution
It introduces a flexible halo model with variable inner density slopes to analyze small-scale galaxy clustering, providing new insights into satellite galaxy distributions.
Findings
Luminous satellites have steeper inner density profiles than NFW.
Lower luminosity satellites are consistent with shallower profiles.
Results confirm previous findings with different methods.
Abstract
We measure the angular clustering of galaxies from the Sloan Digital Sky Survey Data Release 7 in order to probe the spatial distribution of satellite galaxies within their dark matter halos. Specifically, we measure the angular correlation function on very small scales (7-320") in a range of luminosity threshold samples (absolute r-band magnitudes of -18 up to -21) that are constructed from the subset of SDSS that has been spectroscopically observed more than once (the so-called plate overlap region). We choose to measure angular clustering in this reduced survey footprint in order to minimize the effects of fiber collision incompleteness, which are otherwise substantial on these small scales. We model our clustering measurements using a fully numerical halo model that populates dark matter halos in N-body simulations to create realistic mock galaxy catalogs. The model has free…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Remote Sensing in Agriculture · Impact of Light on Environment and Health
