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Title: Beyond assembly bias: exploring secondary halo biases for cluster-size haloes

Abstract

Secondary halo bias, commonly known as ‘assembly bias’, is the dependence of halo clustering on a halo property other than mass. This prediction of the Λ Cold Dark Matter cosmology is essential to modelling the galaxy distribution to high precision and interpreting clustering measurements. As the name suggests, different manifestations of secondary halo bias have been thought to originate from halo assembly histories. We show conclusively that this is incorrect for cluster-size haloes. We present an up-to-date summary of secondary halo biases of high-mass haloes due to various halo properties including concentration, spin, several proxies of assembly history, and subhalo properties. While concentration, spin, and the abundance and radial distribution of subhaloes exhibit significant secondary biases, properties that directly quantify halo assembly history do not. In fact, the entire assembly histories of haloes in pairs are nearly identical to those of isolated haloes. In general, a global correlation between two halo properties does not predict whether or not these two properties exhibit similar secondary biases. For example, assembly history and concentration (or subhalo abundance) are correlated for both paired and isolated haloes, but follow slightly different conditional distributions in these two cases. Lastly, this results in a secondary halo biasmore » due to concentration (or subhalo abundance), despite the lack of assembly bias in the strict sense for cluster-size haloes. Due to this complexity, caution must be exercised in using any one halo property as a proxy to study the secondary bias due to another property.« less

Authors:
 [1];  [1];  [2]
  1. Univ. of Pittsburgh, PA (United States). Pittsburgh Particle Physics, Astrophysics and Cosmology Center (PITT PACC), Dept. of Physics and Astronomy; Univ. of California, Santa Barbara, CA (United States). Kavli Inst. for Theoretical Physics
  2. Univ. of California, Santa Barbara, CA (United States). Kavli Inst. for Theoretical Physics; Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology and Dept. of Physics; SLAC National Accelerator Lab., Menlo Park, CA (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF); National Aeronautics and Space Administration (NASA)
OSTI Identifier:
1423516
Grant/Contract Number:  
AC02-76SF00515; 1516266; 1517563; PHY-1125915
Resource Type:
Accepted Manuscript
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 474; Journal Issue: 4; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; methods: numerical; galaxies: clusters: general; galaxies: formation; galaxies: haloes; dark matter; large-scale structure of Universe

Citation Formats

Mao, Yao-Yuan, Zentner, Andrew R., and Wechsler, Risa H. Beyond assembly bias: exploring secondary halo biases for cluster-size haloes. United States: N. p., 2017. Web. doi:10.1093/mnras/stx3111.
Mao, Yao-Yuan, Zentner, Andrew R., & Wechsler, Risa H. Beyond assembly bias: exploring secondary halo biases for cluster-size haloes. United States. https://doi.org/10.1093/mnras/stx3111
Mao, Yao-Yuan, Zentner, Andrew R., and Wechsler, Risa H. Fri . "Beyond assembly bias: exploring secondary halo biases for cluster-size haloes". United States. https://doi.org/10.1093/mnras/stx3111. https://www.osti.gov/servlets/purl/1423516.
@article{osti_1423516,
title = {Beyond assembly bias: exploring secondary halo biases for cluster-size haloes},
author = {Mao, Yao-Yuan and Zentner, Andrew R. and Wechsler, Risa H.},
abstractNote = {Secondary halo bias, commonly known as ‘assembly bias’, is the dependence of halo clustering on a halo property other than mass. This prediction of the Λ Cold Dark Matter cosmology is essential to modelling the galaxy distribution to high precision and interpreting clustering measurements. As the name suggests, different manifestations of secondary halo bias have been thought to originate from halo assembly histories. We show conclusively that this is incorrect for cluster-size haloes. We present an up-to-date summary of secondary halo biases of high-mass haloes due to various halo properties including concentration, spin, several proxies of assembly history, and subhalo properties. While concentration, spin, and the abundance and radial distribution of subhaloes exhibit significant secondary biases, properties that directly quantify halo assembly history do not. In fact, the entire assembly histories of haloes in pairs are nearly identical to those of isolated haloes. In general, a global correlation between two halo properties does not predict whether or not these two properties exhibit similar secondary biases. For example, assembly history and concentration (or subhalo abundance) are correlated for both paired and isolated haloes, but follow slightly different conditional distributions in these two cases. Lastly, this results in a secondary halo bias due to concentration (or subhalo abundance), despite the lack of assembly bias in the strict sense for cluster-size haloes. Due to this complexity, caution must be exercised in using any one halo property as a proxy to study the secondary bias due to another property.},
doi = {10.1093/mnras/stx3111},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 4,
volume = 474,
place = {United States},
year = {Fri Dec 01 00:00:00 EST 2017},
month = {Fri Dec 01 00:00:00 EST 2017}
}

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