Ensemble quasar spectral variability from the XMM-Newton Serendipitous Source Catalogue
Roberto Serafinelli, Fausto Vagnetti, Riccardo Middei

TL;DR
This study analyzes spectral variability in a large quasar sample from XMM-Newton data, confirming a 'softer when brighter' trend across high luminosities and redshifts, supporting existing spectral models.
Contribution
It extends the understanding of spectral variability to high-luminosity, high-redshift quasars using a large, multi-epoch dataset from XMM-Newton.
Findings
Confirmed 'softer when brighter' trend in high-luminosity quasars
Extended spectral variability analysis to high redshifts
Supported models involving intrinsic radiation changes or reflection components
Abstract
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.
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Ensemble quasar spectral variability from the XMM-Newton Serendipitous Source Catalogue
Roberto Serafinelli1
Fausto Vagnetti1
Riccardo Middei2
1Dipartimento di Fisica, Università di Roma “Tor Vergata”
Via della Ricerca Scientifica 1, 00133, Rome, Italy
2Dipartimento di Matematica e Fisica, Università Roma Tre
Via della Vasca Navale 84, 00146, Rome, Italy
(2016)
Abstract
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.
keywords:
Quasars: general, Galaxies: active, X-rays: galaxies, Surveys
††volume: 324††journal: New Frontiers on Black Hole Astrophysics††editors: A.C. Editor, B.D. Editor & C.E. Editor, eds.
1 Introduction
The spectral slope optical/UV variations in AGNs have been quantified by Trevese and Vagnetti (2002), by means of the spectral variability parameter , being the slope of the spectrum and its flux in the given band. A positive value was found, which means that the spectrum is harder when the flux is higher.
However, in the X-ray band, the opposite behaviour has been found for individual sources, and very few systematic studies have been performed, e.g. Sobolewsa and Papadakis (2009), who found this trend for a sample of 10 nearby Seyfert galaxies.
In our study we investigated the spectral variability of quasars, using the MEXSAS catalogue (Vagnetti et al., 2016), created cross-matching the multi-epoch observations of the XMM-Newton Serendipitous Source Catalogue, Data Release 5 (Rosen et al., 2016) with two partially overlapping Sloan Digital Sky Survey catalogues, SDSS-DR7Q (Schneider et al., 2010) and SDSS-DR12Q (Pâris et al., 2016), obtaining a catalogue of 7,837 X-ray observations of 2,700 quasar sources.
2 Ensemble and single source analyses
In order to study the spectral variability in the X-ray band, we redefine the spectral variability parameter in terms of the photon index , defined after . Then, the spectral variability parameter becomes , since . In order to better compare sources we computed the linear fit between the variations of and ( in band keV) from the source mean values. The computed spectral variability parameter is (see Fig. 1). A negative implies that the spectral slope becomes higher for increasing flux, making the spectrum steeper. This means that the spectrum is softer when brighter.
We tried to investigate the dependence of from some source parameters, such as black hole mass, Eddington ratio, redshift and X-ray luminosity, finding no evidence of such dependence. The value of in some bins deviates significantly from the ensemble value, though, suggesting that different sources may have different values of between each other. Therefore we studied single sources, selecting the ones with low probability of finding a correlation by chance (). We find all negative s in a wide range of values, from to .
3 Discussion
The softer when brighter trend, found in both the ensemble and single-source analysis, may be caused by the superposition of the primary X-ray emission with an additional reflected component. According to some models (e.g., Shih et al, 2002) the primary emission could be variable in flux, but not in spectrum, while the constant reflected component is not variable at all, producing the observed spectra. Other models (e.g., Liang, 1979), suggest that the primary component may be variable in spectrum as well.
As for the single source analysis, the wide range of values may be dependent on several unconsidered features of the source, such as black hole spin, angle of view or radio-loudness, or it may be influenced by stochastic processes.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 3Rosen et al. (2016) Rosen, S. R., Webb, N. A., Watson, M. G. et al., 2016, A&A , 590 , A 1.
- 4Schneider et al. (2010) Schneider, D. P., Richards, G. T., Hall, P. B., 2010, AJ , 139 , 2360.
- 5Shih et al (2002) Shih, D. C., Iwasawa, K., Fabian, A. C., 2002, MNRAS , 333 , 687.
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