The XMM Cluster Survey: An independent demonstration of the fidelity of the eFEDS galaxy cluster data products and implications for future studies
D. J. Turner, P. A. Giles, A. K. Romer, R. Wilkinson, E. W. Upsdell,, M. Klein, P. T. P. Viana, M. Hilton, S. Bhargava, C. A. Collins, R. G. Mann,, M. Sahl\'en, J. P. Stott

TL;DR
This study compares galaxy cluster data from eROSITA's eFEDS survey with XMM-Newton's XCS, validating data fidelity and exploring differences in properties like temperature and luminosity to inform future research.
Contribution
It provides an independent validation of eFEDS cluster data using XMM-Newton observations and examines discrepancies in temperature and luminosity measurements.
Findings
eFEDS and XCS cluster properties are broadly consistent.
XMM temperatures are on average 25% higher than eROSITA temperatures.
Scaling relations show tension, but are reduced with calibrated XCS temperatures.
Abstract
We present the first comparison between properties of clusters of galaxies detected by the eROSITA Final Equatorial-Depth Survey (eFEDS) and the XMM Cluster Survey (XCS). We have compared, in an ensemble fashion, properties from the eFEDS X-ray cluster catalogue with those from the Ultimate XMM eXtragaLactic (XXL) survey project (XXL-100-GC). We find the distributions of redshift and X-ray temperature () to be broadly similar between the two surveys, with a larger proportion of clusters above 4 keV in the XXL-100-GC sample. We find 62 eFEDS cluster candidates with XMM data (eFEDS-XMM sample); 10 do not have good enough XMM data to confirm or deny, 11 are classed as sample contaminants, and 4 have their X-ray flux contaminated by another source. The majority of eFEDS-XMM sources have a longer exposure in XMM than eFEDS, and the majority of eFEDS positions are within 100 kpc of…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
