Measuring weak lensing masses on individual clusters

Author:

Murray Calum12,Bartlett James G13,Artis Emmanuel24,Melin Jean-Baptiste4

Affiliation:

1. Université de Paris , CNRS, Astroparticule et Cosmologie, F-75013 Paris, France

2. Université Grenoble Alpes , CNRS, LPSC-IN2P3, F-38000 Grenoble, France

3. Jet Propulsion Laboratory, California Institute of Technology , Pasadena, CA 91109, USA

4. IRFU, CEA, Université Paris-Saclay , F-91191 Gif-sur-Yvette, France

Abstract

ABSTRACT We present weak lensing mass estimates for a sample of 458 galaxy clusters from the redMaPPer Sloan Digital Sky Survey DR8 catalogue using Hyper Suprime-Cam weak lensing data. We develop a method to quickly estimate cluster masses from weak lensing shear and use this method to estimate weak lensing masses for each of the galaxy clusters in our sample. Subsequently, we constrain the mass–richness relation as well as the intrinsic scatter between the cluster richness and the measured weak lensing masses. When calculating the mass–richness relation for all clusters with a richness λ > 20, we find a tension in the slope of the mass–richness relation with the Dark Energy Survey Year 1 stacked weak lensing analysis. For a reduced sample of clusters with a richness λ > 40, our results are consistent with the Dark Energy Survey Year 1 analysis.

Funder

Jet Propulsion Laboratory

California Institute of Technology

National Aeronautics and Space Administration

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Quijote-PNG: The Information Content of the Halo Mass Function;The Astrophysical Journal;2023-10-27

2. A CMB lensing analysis of the extended mass distribution of clusters;Monthly Notices of the Royal Astronomical Society;2023-10-10

3. Testing the accuracy of likelihoods for cluster abundance cosmology;Monthly Notices of the Royal Astronomical Society;2023-02-22

4. Cluster counts;Astronomy & Astrophysics;2022-09-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3