TY - JOUR
T1 - The XMM-Newton serendipitous survey
T2 - VII. The third XMM-Newton serendipitous source catalogue
AU - Rosen, S. R.
AU - Webb, N. A.
AU - Watson, M. G.
AU - Ballet, J.
AU - Barret, D.
AU - Braito, V.
AU - Carrera, F. J.
AU - Ceballos, M. T.
AU - Coriat, M.
AU - Della Ceca, R.
AU - Denkinson, G.
AU - Esquej, P.
AU - Farrell, S. A.
AU - Freyberg, M.
AU - Grisé, F.
AU - Guillout, P.
AU - Heil, L.
AU - Koliopanos, F.
AU - Law-Green, D.
AU - Lamer, G.
AU - Lin, D.
AU - Martino, R.
AU - Michel, L.
AU - Motch, C.
AU - Nebot Gomez-Moran, A.
AU - Page, C. G.
AU - Page, K.
AU - Page, M.
AU - Pakull, M. W.
AU - Pye, J.
AU - Read, A.
AU - Rodriguez, P.
AU - Sakano, M.
AU - Saxton, R.
AU - Schwope, A.
AU - Scott, A. E.
AU - Sturm, R.
AU - Traulsen, I.
AU - Yershov, V.
AU - Zolotukhin, I.
N1 - Funding Information:
Based on observations obtained with XMM-Newton, an ESA science mission with instruments and contributions directly funded by ESA Member States and NASA. Firstly, we extend our thanks to the anonymous referee who raised some very useful points, allowing us to improve this paper. We are also extremely grateful for the strong support provided by the XMM-Newton SOC. We also thank the CDS team for their active contribution and support. The French teams are grateful to Centre National d'?tudes Spatiales CNES for their outstanding support for the SSC activities. The German teams are grateful to the Deutsches Zentrum f?r Luft- und Raumfahrt for supporting this activity under grants 50 OX 1101, 50 OX 1401 and 50 OG 1101. The University of Leicester acknowledges the financial support of the UK Space Agency and also ESA. F.J.C. acknowledges financial support by the Spanish Ministry of Economy and Competitiveness through grant AYA2012-31447, which is partly funded by the FEDER programme, and grant AYA2015-64346-C2-1-P. M.T.C. acknowledges financial support from the Spanish Ministry of Science and Innovation through grant AYA2010-21490-C02-1. The Italian team acknowledges financial support during the years from the Ministero dell'Istruzione, dell'Universita' e della Ricerca (MIUR), from the Agenzia Spaziale Italiana (ASI) and from the Istituto Nazionale di Astrofisica (INAF). This research has also made use of the SIMBAD database, of the VizieR catalogue access tool, and of Aladin, operated at CDS, Strasbourg, France, the TOPCAT/Stilts software written by Mark Taylor of the University of Bristol, UK and the NASA HEASARC FTOOLS package14 (Blackburn 1995), and made extensive use of the ALICE High Performance Computing Facility at the University of Leicester.
PY - 2016/4/28
Y1 - 2016/4/28
N2 - Context. Thanks to the large collecting area (3 × ∼1500 cm2 at 1.5 keV) and wide field of view (30′ across in full field mode) of the X-ray cameras on board the European Space Agency X-ray observatory XMM-Newton, each individual pointing can result in the detection of up to several hundred X-ray sources, most of which are newly discovered objects. Since XMM-Newton has now been in orbit for more than 15 yr, hundreds of thousands of sources have been detected. Aims. Recently, many improvements in the XMM-Newton data reduction algorithms have been made. These include enhanced source characterisation and reduced spurious source detections, refined astrometric precision of sources, greater net sensitivity for source detection, and the extraction of spectra and time series for fainter sources, both with better signal-to-noise. Thanks to these enhancements, the quality of the catalogue products has been much improved over earlier catalogues. Furthermore, almost 50% more observations are in the public domain compared to 2XMMi-DR3, allowing the XMM-Newton Survey Science Centre to produce a much larger and better quality X-ray source catalogue. Methods. The XMM-Newton Survey Science Centre has developed a pipeline to reduce the XMM-Newton data automatically. Using the latest version of this pipeline, along with better calibration, a new version of the catalogue has been produced, using XMM-Newton X-ray observations made public on or before 2013 December 31. Manual screening of all of the X-ray detections ensures the highest data quality. This catalogue is known as 3XMM. Results. In the latest release of the 3XMM catalogue, 3XMM-DR5, there are 565 962 X-ray detections comprising 396 910 unique X-ray sources. Spectra and lightcurves are provided for the 133 000 brightest sources. For all detections, the positions on the sky, a measure of the quality of the detection, and an evaluation of the X-ray variability is provided, along with the fluxes and count rates in 7 X-ray energy bands, the total 0.2-12 keV band counts, and four hardness ratios. With the aim of identifying the detections, a cross correlation with 228 catalogues of sources detected in all wavebands is also provided for each X-ray detection. Conclusions. 3XMM-DR5 is the largest X-ray source catalogue ever produced. Thanks to the large array of data products associated with each detection and each source, it is an excellent resource for finding new and extreme objects.
AB - Context. Thanks to the large collecting area (3 × ∼1500 cm2 at 1.5 keV) and wide field of view (30′ across in full field mode) of the X-ray cameras on board the European Space Agency X-ray observatory XMM-Newton, each individual pointing can result in the detection of up to several hundred X-ray sources, most of which are newly discovered objects. Since XMM-Newton has now been in orbit for more than 15 yr, hundreds of thousands of sources have been detected. Aims. Recently, many improvements in the XMM-Newton data reduction algorithms have been made. These include enhanced source characterisation and reduced spurious source detections, refined astrometric precision of sources, greater net sensitivity for source detection, and the extraction of spectra and time series for fainter sources, both with better signal-to-noise. Thanks to these enhancements, the quality of the catalogue products has been much improved over earlier catalogues. Furthermore, almost 50% more observations are in the public domain compared to 2XMMi-DR3, allowing the XMM-Newton Survey Science Centre to produce a much larger and better quality X-ray source catalogue. Methods. The XMM-Newton Survey Science Centre has developed a pipeline to reduce the XMM-Newton data automatically. Using the latest version of this pipeline, along with better calibration, a new version of the catalogue has been produced, using XMM-Newton X-ray observations made public on or before 2013 December 31. Manual screening of all of the X-ray detections ensures the highest data quality. This catalogue is known as 3XMM. Results. In the latest release of the 3XMM catalogue, 3XMM-DR5, there are 565 962 X-ray detections comprising 396 910 unique X-ray sources. Spectra and lightcurves are provided for the 133 000 brightest sources. For all detections, the positions on the sky, a measure of the quality of the detection, and an evaluation of the X-ray variability is provided, along with the fluxes and count rates in 7 X-ray energy bands, the total 0.2-12 keV band counts, and four hardness ratios. With the aim of identifying the detections, a cross correlation with 228 catalogues of sources detected in all wavebands is also provided for each X-ray detection. Conclusions. 3XMM-DR5 is the largest X-ray source catalogue ever produced. Thanks to the large array of data products associated with each detection and each source, it is an excellent resource for finding new and extreme objects.
UR - http://www.scopus.com/inward/record.url?scp=84966429026&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84966429026&partnerID=8YFLogxK
U2 - 10.1051/0004-6361/201526416
DO - 10.1051/0004-6361/201526416
M3 - Article
AN - SCOPUS:84966429026
VL - 590
JO - Astronomy and Astrophysics
JF - Astronomy and Astrophysics
SN - 0004-6361
M1 - A1
ER -