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XMM-Newton observation of the lockman hole. I. The X-ray data

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posted on 2012-10-24, 09:22 authored by G. Hasinger, H. Brunner, Y. Hashimoto, G. P. Szokoly, B. Altieri, N. Scharte, M. Arnaud, P. Ferrando, X. Barcons, S. Mateos, J. Bergeron, M. Dadina, K. Dennerl, A. Finoguenov, J. Trümper, R. E. Griffiths, T. Miyaji, A. F. Ptak, F. A. Jansen, D. H. Lumb, K. O. Mason, M. J. Page, R. G. McMahon, F. Paerels, T. P. Sasseen, M. Turner, R. S. Warwick, M. G. Watson
We report on the first deep X-ray survey with the XMM-Newton observatory during the performance verification phase. The field of the Lockman Hole, one of the best studied sky areas over a very wide range of wavelengths, has been observed. A total of $\sim$100 ksec good exposure time has been accumulated. Combining the images of the European Photon Imaging Camera (EPIC) detectors we reach a flux limit of 0.31, 1.4 and $2.4 10^{-15} {\rm erg} {\rm cm}^{-2} {\rm s}^{-1}$, respectively in the 0.5-2, 2-10, and 5-10 keV band. Within an off-axis angle of 10 arcmin we detect 148, 112 and 61 sources, respectively. The log(N)-log(S) relation in the three bands is compared with previous results. In particular in the 5-10 keV band these observations present the deepest X-ray survey ever, about a factor 20 more sensitive than the previous BeppoSAX observations. Using X-ray spectral diagnostics and the set of previously known, spectroscopically identified ROSAT sources in the field, the new sources can be classified. XMM-Newton detects a significant number ($\sim$40% ) of X-ray sources with hard, probably intrinsically absorbed X-ray spectra, confirming a prediction of the population synthesis models for the X-ray background.

History

Citation

Astronomy & Astrophysics, 2001, 365 (1)

Version

  • VoR (Version of Record)

Published in

Astronomy & Astrophysics

Publisher

EDP Sciences for European Southern Observatory (ESO)

issn

0004-6361

Copyright date

2001

Available date

2012-10-24

Publisher version

http://www.aanda.org/articles/aa/abs/2001/01/aaxmm10/aaxmm10.html

Language

en

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