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Title: Constraining the mass–richness relationship of redMaPPer clusters with angular clustering

Abstract

The potential of using cluster clustering for calibrating the mass–richness relation of galaxy clusters has been recognized theoretically for over a decade. In this paper, we demonstrate the feasibility of this technique to achieve high-precision mass calibration using redMaPPer clusters in the Sloan Digital Sky Survey North Galactic Cap. By including cross-correlations between several richness bins in our analysis, we significantly improve the statistical precision of our mass constraints. The amplitude of the mass–richness relation is constrained to 7 per cent statistical precision by our analysis. However, the error budget is systematics dominated, reaching a 19 per cent total error that is dominated by theoretical uncertainty in the bias–mass relation for dark matter haloes. We confirm the result from Miyatake et al. that the clustering amplitude of redMaPPer clusters depends on galaxy concentration as defined therein, and we provide additional evidence that this dependence cannot be sourced by mass dependences: some other effect must account for the observed variation in clustering amplitude with galaxy concentration. Assuming that the observed dependence of redMaPPer clustering on galaxy concentration is a form of assembly bias, we find that such effects introduce a systematic error on the amplitude of the mass–richness relation that ismore » comparable to the error bar from statistical noise. Finally, the results presented here demonstrate the power of cluster clustering for mass calibration and cosmology provided the current theoretical systematics can be ameliorated.« less

Authors:
 [1];  [2];  [1];  [3];  [3]
  1. Univ. of Pennsylvania, Philadelphia, PA (United States). Center for Particle Cosmology. Dept. of Physics
  2. Univ. of Arizona, Tucson, AZ (United States). Dept. of Physics
  3. Stanford Univ., CA (United States). Kavli Inst. for Particle Astrophysics and Cosmology. Dept. of Physics; SLAC National Accelerator Lab., Menlo Park, CA (United States)
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States); Stanford Univ., CA (United States); Univ. of Pennsylvania, Philadelphia, PA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF)
Contributing Org.:
Univ. of Arizona, Tucson, AZ (United States)
OSTI Identifier:
1339645
Alternate Identifier(s):
OSTI ID: 1349098
Grant/Contract Number:  
AC02-76SF00515; SC0007901; NSF-AST-1211838
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 463; Journal Issue: 1; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; analytical methods; observations in cosmology; large-scale structure of Universe; methods: analytical; cosmology: observations

Citation Formats

Baxter, Eric J., Rozo, Eduardo, Jain, Bhuvnesh, Rykoff, Eli, and Wechsler, Risa H.. Constraining the mass–richness relationship of redMaPPer clusters with angular clustering. United States: N. p., 2016. Web. doi:10.1093/mnras/stw1939.
Baxter, Eric J., Rozo, Eduardo, Jain, Bhuvnesh, Rykoff, Eli, & Wechsler, Risa H.. Constraining the mass–richness relationship of redMaPPer clusters with angular clustering. United States. doi:10.1093/mnras/stw1939.
Baxter, Eric J., Rozo, Eduardo, Jain, Bhuvnesh, Rykoff, Eli, and Wechsler, Risa H.. Thu . "Constraining the mass–richness relationship of redMaPPer clusters with angular clustering". United States. doi:10.1093/mnras/stw1939. https://www.osti.gov/servlets/purl/1339645.
@article{osti_1339645,
title = {Constraining the mass–richness relationship of redMaPPer clusters with angular clustering},
author = {Baxter, Eric J. and Rozo, Eduardo and Jain, Bhuvnesh and Rykoff, Eli and Wechsler, Risa H.},
abstractNote = {The potential of using cluster clustering for calibrating the mass–richness relation of galaxy clusters has been recognized theoretically for over a decade. In this paper, we demonstrate the feasibility of this technique to achieve high-precision mass calibration using redMaPPer clusters in the Sloan Digital Sky Survey North Galactic Cap. By including cross-correlations between several richness bins in our analysis, we significantly improve the statistical precision of our mass constraints. The amplitude of the mass–richness relation is constrained to 7 per cent statistical precision by our analysis. However, the error budget is systematics dominated, reaching a 19 per cent total error that is dominated by theoretical uncertainty in the bias–mass relation for dark matter haloes. We confirm the result from Miyatake et al. that the clustering amplitude of redMaPPer clusters depends on galaxy concentration as defined therein, and we provide additional evidence that this dependence cannot be sourced by mass dependences: some other effect must account for the observed variation in clustering amplitude with galaxy concentration. Assuming that the observed dependence of redMaPPer clustering on galaxy concentration is a form of assembly bias, we find that such effects introduce a systematic error on the amplitude of the mass–richness relation that is comparable to the error bar from statistical noise. Finally, the results presented here demonstrate the power of cluster clustering for mass calibration and cosmology provided the current theoretical systematics can be ameliorated.},
doi = {10.1093/mnras/stw1939},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 1,
volume = 463,
place = {United States},
year = {Thu Aug 04 00:00:00 EDT 2016},
month = {Thu Aug 04 00:00:00 EDT 2016}
}

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