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The XMM Cluster Survey: evidence for energy injection at high redshift from evolution of the X-ray luminosity-temperature relation

Title
The XMM Cluster Survey: evidence for energy injection at high redshift from evolution of the X-ray luminosity-temperature relation
Type
Article in International Scientific Journal
Year
2012
Authors
hilton, m
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romer, ak
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kay, st
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mehrtens, n
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lloyd-davies, ej
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thomas, pa
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short, cj
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mayers, ja
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rooney, pj
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stott, jp
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collins, ca
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harrison, cd
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hoyle, b
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liddle, ar
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mann, rg
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miller, cj
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sahlen, m
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viana, ptp
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davidson, m
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hosmer, m
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nichol, rc
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sabirli, k
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stanford, sa
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west, mj
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Journal
Vol. 424
Pages: 2086-2096
ISSN: 0035-8711
Scientific classification
FOS: Natural sciences > Physical sciences
Other information
Authenticus ID: P-002-7C4
Abstract (EN): We measure the evolution of the X-ray luminositytemperature (LX - T) relation since z similar to 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 similar to 1.5, finding both to be consistent with previous measurements at z similar to 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 2 sigma 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 5 sigma. This suggests that more efficient feedback at high redshift may be needed in these models.
Language: English
Type (Professor's evaluation): Scientific
Contact: matthew.hilton@nottingham.ac.uk
No. of pages: 11
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