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A new method for finding and characterizing galaxy groups via low-frequency radio surveys

Croston, J.H.; Ineson, J.; Hardcastle, M. J. and Mingo, B. (2017). A new method for finding and characterizing galaxy groups via low-frequency radio surveys. Monthly Notices of the Royal Astronomical Society (Early Access).

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DOI (Digital Object Identifier) Link: https://doi.org/10.1093/mnras/stx1347
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Abstract

We describe a new method for identifying and characterizing the thermodynamic state of large samples of evolved galaxy groups at high redshifts using high-resolution, low-frequency radio surveys, such as those that will be carried out with LOFAR and the Square Kilometre Array (SKA). We identify a sub-population of morphologically regular powerful (FRII) radio galaxies and demonstrate that, for this sub-population, the internal pressure of the radio lobes is a reliable tracer of the external intragroup/intracluster medium (ICM) pressure, and that the assumption of a universal pressure profile for relaxed groups enables the total mass and X-ray luminosity to be estimated. Using a sample of well-studied FRII radio galaxies, we demonstrate that our method enables the estimation of group/cluster X-ray luminosities over three orders of magnitude in luminosity to within a factor of ∼2 from low-frequency radio properties alone. Our method could provide a powerful new tool for building samples of thousands of evolved galaxy groups at z > 1 and characterizing their ICM.

Item Type: Journal Item
Copyright Holders: 2017 The Authors
ISSN: 1365-2966
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetST/M001326/1STFC (Science & Technology Facilities Council)
Not SetST/M001008/1STFC (Science & Technology Facilities Council)
Keywords: galaxies: active; X-rays: galaxies: clusters
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Physical Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 49572
Depositing User: Judith Croston
Date Deposited: 08 Jun 2017 13:47
Last Modified: 01 Nov 2017 15:50
URI: http://oro.open.ac.uk/id/eprint/49572
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