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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
The XMM Cluster Survey: Evidence for energy injection at high redshift from evolution of the X-ray luminosity-temperature relation
Monthly Notices of the Royal Astronomical Society, Volume 424, No. 3, Year 2012
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Description
We measure the evolution of the X-ray luminosity-temperature (LX - T) relation since z ~ 1.5 using a sample of 211 serendipitously detected galaxy clusters with spectroscopic redshifts drawn from the XMM Cluster Survey first data release (XCS-DR1). This is the first study spanning this redshift range using a single, large, homogeneous cluster sample. Using an orthogonal regression technique, we find no evidence for evolution in the slope or intrinsic scatter of the relation since z ~ 1.5, finding both to be consistent with previous measurements at z ~ 0.1. However, the normalization is seen to evolve negatively with respect to the self-similar expectation: we find E-1(z)LX = 1044.67 ± 0.09(T/5)3.04 ± 0.16(1 + z)-1.5 ± 0.5, which is within 2σ of the zero evolution case. We see milder, but still negative, evolution with respect to self-similar when using a bisector regression technique. We compare our results to numerical simulations, where we fit simulated cluster samples using the same methods used on the XCS data. Our data favour models in which the majority of the excess entropy required to explain the slope of the LX - T relation is injected at high redshift. Simulations in which active galactic nucleus feedback is implemented using prescriptions from current semi-analytic galaxy formation models predict the positive evolution of the normalization, and differ from our data at more than 5σ. This suggests that more efficient feedback at high redshift may be needed in these models. © 2012 The Authors. Monthly Notices of the Royal Astronomical Society © 2012 RAS.
Authors & Co-Authors
Hilton, Matt
United Kingdom, Nottingham
University of Nottingham
South Africa, Durban
University of Kwazulu-natal
Römer, Anita Kathy
United Kingdom, Brighton
University of Sussex
United Kingdom, London
South East Physics Network
Kay, Scott T.
United Kingdom, Manchester
The University of Manchester
Mehrtens, Nicola
United Kingdom, Brighton
University of Sussex
Lloyd-Davies, Edward J.
United Kingdom, Brighton
University of Sussex
Thomas, Peter A.
United Kingdom, Brighton
University of Sussex
Short, C. J.
United Kingdom, Brighton
University of Sussex
Mayers, Julian A.
United Kingdom, Brighton
University of Sussex
Rooney, Philip J.
United Kingdom, Brighton
University of Sussex
Stott, John P.
United Kingdom, Durham
Durham University
Collins, Christopher A.
United Kingdom, Liverpool
Liverpool John Moores University
Harrison, Craig D.
United States, Ann Arbor
University of Michigan, Ann Arbor
Hoyle, Ben
Spain, Barcelona
Departmento de Cirugía
Liddle, Andrew R.
United Kingdom, Brighton
University of Sussex
United Kingdom, London
South East Physics Network
Robert Mann, Robert G.
United Kingdom, Edinburgh
University of Edinburgh, Institute for Astronomy
Miller, Christopher J.
United States, Ann Arbor
University of Michigan, Ann Arbor
Sahlén, Martin
Sweden, Stockholm
Stockholms Universitet
Viana, Pedro T.P.
Portugal, Porto
Centro de Astrofísica da Universidade do Porto
Portugal, Porto
Universidade do Porto
Davidson, Michael
United Kingdom, Edinburgh
University of Edinburgh, Institute for Astronomy
Hosmer, Mark
United Kingdom, Brighton
University of Sussex
Nichol, Robert C.
United Kingdom, London
South East Physics Network
United Kingdom, Portsmouth
University of Portsmouth
Sabirli, Kivanc
United Kingdom, Brighton
University of Sussex
Stanford, Spencer Adam
United States, Davis
University of California, Davis
United States, Livermore
Lawrence Livermore National Laboratory
West, Michael J.
Chile, Santiago
European Southern Observatory Santiago
Statistics
Citations: 24
Authors: 24
Affiliations: 17
Identifiers
Doi:
10.1111/j.1365-2966.2012.21359.x
ISSN:
00358711
e-ISSN:
13652966
Study Design
Cross Sectional Study
Study Approach
Quantitative