Estimation of the hydrostatic-to-lensing mass bias from resolved cluster masses

Bibliographic Details
Title: Estimation of the hydrostatic-to-lensing mass bias from resolved cluster masses
Authors: Muñoz-Echeverría M., Macías-Pérez J.F., Pratt G.W., Pointecouteau E., Bartalucci I., De Petris M., Ferragamo A., Hanser C., Kéruzoré F., Mayet F., Moyer-Anin A., Paliwal A., Perotto L., Yepes G.
Source: EPJ Web of Conferences, Vol 293, p 00033 (2024)
Publisher Information: EDP Sciences, 2024.
Publication Year: 2024
Collection: LCC:Physics
Subject Terms: Physics, QC1-999
More Details: We present a study on the bias of hydrostatic masses with respect to lensing mass estimates for a sample of 53 clusters in a redshift range between z = 0.05 and 1.07. The M500 mass for each cluster was inferred from X-ray and lensing data, without using a priori observable-mass scaling relations. Cluster masses of our reference analysis were reconstructed homogeneously and we assess the systematic dispersion of those homogeneous masses with respect to other published mass estimates. We obtain an hydrostatic-to-lensing mass bias of (1 − b) = 0.74−0.07+0.08 and no significant evidence of evolution with redshift.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2100-014X
Relation: https://www.epj-conferences.org/articles/epjconf/pdf/2024/03/epjconf_mmUniverse2023_00033.pdf; https://doaj.org/toc/2100-014X
DOI: 10.1051/epjconf/202429300033
Access URL: https://doaj.org/article/71414fb792e14b32a34bf1d9d30b839d
Accession Number: edsdoj.71414fb792e14b32a34bf1d9d30b839d
Database: Directory of Open Access Journals
More Details
ISSN:2100014X
DOI:10.1051/epjconf/202429300033
Published in:EPJ Web of Conferences
Language:English