Evidence for Non-Linear Growth of Structure from an X-ray Selected Cluster Survey using a Novel Joint Analysis of the Chandra and XMM-Newton Archives
J. R. Peterson, J. G. Jernigan, R. R. Gupta, J. Bankert, S. M. Kahn

TL;DR
This study presents a large, deep X-ray cluster survey combining Chandra and XMM-Newton data, detecting 723 clusters and providing evidence for the strong evolution of galaxy clusters consistent with structure formation theories.
Contribution
It introduces a novel joint analysis technique of archival X-ray data that enhances cluster detection sensitivity and mitigates contamination, leading to a significant increase in discovered clusters.
Findings
Detected 723 clusters, including 462 new ones.
Measured the log N-log S distribution and fitted a redshift-dependent model.
Found rapid cluster evolution consistent with cosmological models.
Abstract
We present a large X-ray selected serendipitous cluster survey based on a novel joint analysis of archival Chandra and XMM-Newton data. The survey provides enough depth to reach clusters of flux of near 1 and simultaneously a large enough sample to find evidence for the strong evolution of clusters expected from structure formation theory. We detected a total of 723 clusters of which 462 are newly discovered clusters with greater than 6 significance. In addition, we also detect and measure 261 previously-known clusters and groups that can be used to calibrate the survey. The survey exploits a technique which combines the exquisite Chandra imaging quality with the high throughput of the XMM-Newton telescopes using overlapping survey regions. A large fraction of the contamination from AGN point sources is mitigated by…
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.
