LoCuSS: Hydrostatic Mass Measurements of the High-$L_X$ Cluster Sample -- Cross-calibration of Chandra and XMM-Newton
Rossella Martino, Pasquale Mazzotta, Herv\'e Bourdin, Graham P. Smith,, Iacopo Bartalucci, Daniel P. Marrone, Alexis Finoguenov, Nobuhiro Okabe

TL;DR
This study performs a cross-calibration of Chandra and XMM-Newton X-ray observations of galaxy clusters, confirming consistent mass measurements and analyzing the impact of non-thermal pressure support and Sunyaev-Zel'dovich effect scaling relations.
Contribution
It introduces a consistent analysis method for both satellites and verifies the cross-calibration of mass measurements, including background modeling and comparison with weak-lensing data.
Findings
Chandra and XMM-Newton mass measurements are consistent within a few percent.
Non-thermal pressure support at $r_{500}$ is approximately 7%.
Mass scatter at fixed $Y_{sph}$ is about 16%, aligning with theoretical expectations.
Abstract
We present a consistent analysis of Chandra and XMM-Newton observations of an approximately mass-selected sample of 50 galaxy clusters at -- the "LoCuSS High- Sample". We apply the same analysis methods to data from both satellites, including newly developed analytic background models that predict the spatial variation of the Chandra and XMM-Newton backgrounds to and precision respectively. To verify the cross-calibration of Chandra and XMM-Newton-based cluster mass measurements, we derive the mass profiles of the 21 clusters that have been observed with both satellites, extracting surface brightness and temperature profiles from identical regions of the respective datasets. We obtain consistent results for the gas and total hydrostatic cluster masses: the average ratio of Chandra- to XMM-Newton-based measurements of and at …
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
