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The XMM-Newton spectral-fit database

Published online by Cambridge University Press:  25 July 2014

A. Corral
Affiliation:
Institute for Astronomy, Astrophysics, Space Applications, and Remote Sensing (IAASARS), National Observatory of Athens (NOA), I.Metaxa & Vas. Pavlou St., 15236, Penteli, Greece email: acorral@noa.gr
I. Georgantopoulos
Affiliation:
Institute for Astronomy, Astrophysics, Space Applications, and Remote Sensing (IAASARS), National Observatory of Athens (NOA), I.Metaxa & Vas. Pavlou St., 15236, Penteli, Greece email: acorral@noa.gr
S. Rosen
Affiliation:
X-ray and Observational Astronomy Group (XROA), Department of Physics and Astronomy, University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom
M. G. Watson
Affiliation:
X-ray and Observational Astronomy Group (XROA), Department of Physics and Astronomy, University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom
K. Page
Affiliation:
X-ray and Observational Astronomy Group (XROA), Department of Physics and Astronomy, University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom
G. C. Stewart
Affiliation:
X-ray and Observational Astronomy Group (XROA), Department of Physics and Astronomy, University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom
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Abstract

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The XMM-Newton spectral-fit database is an ongoing ESA funded project aimed to construct a catalogue of spectral-fitting results for all the sources within the XMM-Newton serendipitous source catalogue for which spectral data products have been pipeline-extracted (≳ 120,000 X-ray source detections). The fundamental goal of this project is to provide the astronomical community with a tool to construct large and representative samples of X-ray sources by allowing source selection according to spectral properties.

Keywords

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2014 

References

Arnaud, K. A. 1996, ASP-CS, 101, 17Google Scholar
Georgakakis, A. & Nandra, K. 2011, MNRAS, 414, 992Google Scholar
Watson, M. G., et al. 2009, A&A, 493, 339Google Scholar