Detection of anti-correlation of hot and cold baryons in galaxy clusters
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Author
Farahi, AryaMulroy, Sarah L
Evrard, August E
Smith, Graham P
Finoguenov, Alexis
Bourdin, Hervé
Carlstrom, John E
Haines, Chris P
Marrone, Daniel P
Martino, Rossella
Mazzotta, Pasquale
O'Donnell, Christine
Okabe, Nobuhiro
Affiliation
Univ Arizona, Steward ObservIssue Date
2019-07-02
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NATURE PUBLISHING GROUPCitation
Farahi, A., Mulroy, S. L., Evrard, A. E., Smith, G. P., Finoguenov, A., Bourdin, H., ... & Mazzotta, P. (2019). Detection of anti-correlation of hot and cold baryons in galaxy clusters. Nature communications, 10.Journal
NATURE COMMUNICATIONSRights
© The Author(s) 2019. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The largest clusters of galaxies in the Universe contain vast amounts of dark matter, plus baryonic matter in two principal phases, a majority hot gas component and a minority cold stellar phase comprising stars, compact objects, and low-temperature gas. Hydrodynamic simulations indicate that the highest-mass systems retain the cosmic fraction of baryons, a natural consequence of which is anti-correlation between the masses of hot gas and stars within dark matter halos of fixed total mass. We report observational detection of this anti-correlation based on 4 elements of a 9 x 9-element covariance matrix for nine cluster properties, measured from multi-wavelength observations of 41 clusters from the Local Cluster Substructure Survey. These clusters were selected using explicit and quantitative selection rules that were then encoded in our hierarchical Bayesian model. Our detection of anti-correlation is consistent with predictions from contemporary hydrodynamic cosmological simulations that were not tuned to reproduce this signal.Note
Open access journalISSN
2041-1723PubMed ID
31266938Version
Final published versionSponsors
McWilliams Postdoctoral Fellowship; NASA [GO8-19107B, GO6-17116B]; STFC; Royal Society; NSF [AST-1140019]; PRIN INAF 2014; ASI-INAF [2017-14-H.O]; University of Rome "Tor Vergata" Grant, "Mission: Sustainability" EnClOSae974a485f413a2113503eed53cd6c53
10.1038/s41467-019-10471-y
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Except where otherwise noted, this item's license is described as © The Author(s) 2019. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.