Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-28T17:25:03.230Z Has data issue: false hasContentIssue false

Ensemble quasar spectral variability from the XMM-Newton Serendipitous Source Catalogue

Published online by Cambridge University Press:  23 June 2017

Roberto Serafinelli
Affiliation:
Dipartimento di Fisica, Università di Roma “Tor Vergata” Via della Ricerca Scientifica 1, 00133, Rome, Italy
Fausto Vagnetti
Affiliation:
Dipartimento di Fisica, Università di Roma “Tor Vergata” Via della Ricerca Scientifica 1, 00133, Rome, Italy
Riccardo Middei
Affiliation:
Dipartimento di Matematica e Fisica, Università Roma Tre Via della Vasca Navale 84, 00146, Rome, Italy
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Variations of the X-ray spectral slope have been found in many Active Galactic Nuclei (AGN) at moderate luminosities and redshifts, typically showing a “softer when brighter” behaviour. However, similar studies are not usually performed for high-luminosity AGNs. We present an analysis of the spectral variability based on a large sample of quasars in wide intervals of luminosity and redshift, measured at several different epochs, extracted from the fifth release of the XMM Newton Serendipitous Source Catalogue. Our analysis confirms a “softer when brighter” trend also for our sample, extending to high luminosity and redshift the general behaviour previously found. These results can be understood in light of current spectral models, such as intrinsic variations of the X-ray primary radiation, or superposition with a constant reflection component.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2017 

References

Liang, E. P. T. 1979, ApJ, 231, L111.Google Scholar
Pâris, I., Petitjean, P., Ross, N. P., et al., 2016, arXiv:1608.06483 Google Scholar
Rosen, S. R., Webb, N. A., Watson, M. G., et al., 2016, A&A, 590, A1.Google Scholar
Schneider, D. P., Richards, G. T., & Hall, P. B. 2010, AJ, 139, 2360.Google Scholar
Shih, D. C., Iwasawa, K., & Fabian, A. C. 2002, MNRAS, 333, 687.CrossRefGoogle Scholar
Sobolewska, M. A. & Papadakis, I. E. 2009, MNRAS, 399, 1597.Google Scholar
Trevese, D. & Vagnetti, F. 2002, ApJ, 564, 624.Google Scholar
Vagnetti, F., Middei, R., Antonucci, M., et al. 2016, A&A, 593, A55.Google Scholar