Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxies

The halo model offers a framework for investigating galaxy clustering, and for understanding the growth of galaxies and the distribution of galaxies of different types. Here, we use the halo model to study the small-scale clustering and halo occupation distribution (HOD) of the unWISE-Blue galaxy sa...

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Main Authors: Alex Krolewski, Jensen Lawrence, Will J. Percival
Format: Article
Language:English
Published: Maynooth Academic Publishing 2025-04-01
Series:The Open Journal of Astrophysics
Online Access:https://doi.org/10.33232/001c.137297
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author Alex Krolewski
Jensen Lawrence
Will J. Percival
author_facet Alex Krolewski
Jensen Lawrence
Will J. Percival
author_sort Alex Krolewski
collection DOAJ
description The halo model offers a framework for investigating galaxy clustering, and for understanding the growth of galaxies and the distribution of galaxies of different types. Here, we use the halo model to study the small-scale clustering and halo occupation distribution (HOD) of the unWISE-Blue galaxy sample, an infrared-selected sample of $\sim$100 million galaxies across the entire extragalactic sky at $z\sim 0.5$ $-$ similar redshifts to the Baryon Oscillation Spectroscopic Survey (BOSS) CMASS sample. Although the photometric unWISE galaxies cannot be easily split in redshift, we use their cross-correlation with the BOSS CMASS sample to tomographically probe the HOD of the unWISE galaxies at $0.45 < z < 0.75$. To do so, we develop a new method for applying the halo model to cross-correlations between a photometric sample and a spectroscopic sample in narrow redshift bins, incorporating halo exclusion, post-Limber corrections, and redshift-space distortions. We reveal strong evolution in the CMASS HOD, and modest evolution in the unWISE-Blue HOD. For unWISE-Blue, we find that the average bias and mean halo mass drop from $b = 1.6$ and $\log_{10}(M_{\mathrm{h}}/M_{\odot}) \sim 13.4$ at $z \sim 0.5$ to $b = 1.4$ and $\log_{10}(M_{\mathrm{h}}/M_{\odot}) \sim 13.1$ at $z \sim 0.7$, and that the satellite fraction drops modestly from $\sim$20% to $\sim$10% in the same range. These results are useful for creating mock samples of the unWISE-Blue galaxies. Furthermore, the techniques developed to obtain these results are applicable to other tomographic cross-correlations between photometric samples and narrowly-binned spectroscopic samples, such as clustering redshifts.
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spelling doaj-art-3d8ced892b4f43a3ad8c60601f5d478f2025-08-20T03:33:43ZengMaynooth Academic PublishingThe Open Journal of Astrophysics2565-61202025-04-01810.33232/001c.137297Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxiesAlex KrolewskiJensen LawrenceWill J. PercivalThe halo model offers a framework for investigating galaxy clustering, and for understanding the growth of galaxies and the distribution of galaxies of different types. Here, we use the halo model to study the small-scale clustering and halo occupation distribution (HOD) of the unWISE-Blue galaxy sample, an infrared-selected sample of $\sim$100 million galaxies across the entire extragalactic sky at $z\sim 0.5$ $-$ similar redshifts to the Baryon Oscillation Spectroscopic Survey (BOSS) CMASS sample. Although the photometric unWISE galaxies cannot be easily split in redshift, we use their cross-correlation with the BOSS CMASS sample to tomographically probe the HOD of the unWISE galaxies at $0.45 < z < 0.75$. To do so, we develop a new method for applying the halo model to cross-correlations between a photometric sample and a spectroscopic sample in narrow redshift bins, incorporating halo exclusion, post-Limber corrections, and redshift-space distortions. We reveal strong evolution in the CMASS HOD, and modest evolution in the unWISE-Blue HOD. For unWISE-Blue, we find that the average bias and mean halo mass drop from $b = 1.6$ and $\log_{10}(M_{\mathrm{h}}/M_{\odot}) \sim 13.4$ at $z \sim 0.5$ to $b = 1.4$ and $\log_{10}(M_{\mathrm{h}}/M_{\odot}) \sim 13.1$ at $z \sim 0.7$, and that the satellite fraction drops modestly from $\sim$20% to $\sim$10% in the same range. These results are useful for creating mock samples of the unWISE-Blue galaxies. Furthermore, the techniques developed to obtain these results are applicable to other tomographic cross-correlations between photometric samples and narrowly-binned spectroscopic samples, such as clustering redshifts.https://doi.org/10.33232/001c.137297
spellingShingle Alex Krolewski
Jensen Lawrence
Will J. Percival
Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxies
The Open Journal of Astrophysics
title Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxies
title_full Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxies
title_fullStr Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxies
title_full_unstemmed Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxies
title_short Tomographic halo model of the unWISE-Blue galaxies using cross-correlations with BOSS CMASS galaxies
title_sort tomographic halo model of the unwise blue galaxies using cross correlations with boss cmass galaxies
url https://doi.org/10.33232/001c.137297
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