Variability in the X-rays is a key ingredient in understanding and unveiling active galactic nuclei (AGN) properties. In this band flux variations occur on short time scales (hours) as well as on larger times scales. While short time scale variability is often investigated in single source studies, only few works are able to explore flux variation on very long time scales.This work provides a statistical analysis of the AGN long term X-ray variability. We study variability on the largest time interval ever investigated for the 0.2-2 keV band, up to $sim 20$ years rest-frame for a sample of 220 sources. Moreover, we study variability for 2,700 quasars up to $sim 8$ years rest-frame in the same (soft) band.We build our source sample using the 3XMM serendipitous source catalogue data release 5, and data from ROSAT All Sky Survey Bright and Faint source catalogues. In order to select only AGN we use the Sloan Digital Sky Survey quasar catalogues data releases 7 and 12. Combining ROSAT and XMM-Newton observations, we investigate variability using the structure function analysis which describes the amount of variability as a function of the lag between the observations.Our work shows an increase of the structure function up to 20 years. We do not find evidence of a plateau in the structure function on these long time scales.The increase of the structure function at long time lags suggests that variability in the soft X-rays can be influenced by flux variations originated in the accretion disk or that they take place in a region large enough to justify variation on such long time scales.

Middei, R., Vagnetti, F., Bianchi, S., La Franca, F., Paolillo, M., & Ursini, F. (2017). A long-term study of AGN X-ray variability: structure function analysis on a ROSAT-XMM quasar sample. ASTRONOMY & ASTROPHYSICS, 599 [10.1051/0004-6361/201629940].

A long-term study of AGN X-ray variability: structure function analysis on a ROSAT-XMM quasar sample

VAGNETTI, FAUSTO
Writing – Review & Editing
;
2017

Abstract

Variability in the X-rays is a key ingredient in understanding and unveiling active galactic nuclei (AGN) properties. In this band flux variations occur on short time scales (hours) as well as on larger times scales. While short time scale variability is often investigated in single source studies, only few works are able to explore flux variation on very long time scales.This work provides a statistical analysis of the AGN long term X-ray variability. We study variability on the largest time interval ever investigated for the 0.2-2 keV band, up to $sim 20$ years rest-frame for a sample of 220 sources. Moreover, we study variability for 2,700 quasars up to $sim 8$ years rest-frame in the same (soft) band.We build our source sample using the 3XMM serendipitous source catalogue data release 5, and data from ROSAT All Sky Survey Bright and Faint source catalogues. In order to select only AGN we use the Sloan Digital Sky Survey quasar catalogues data releases 7 and 12. Combining ROSAT and XMM-Newton observations, we investigate variability using the structure function analysis which describes the amount of variability as a function of the lag between the observations.Our work shows an increase of the structure function up to 20 years. We do not find evidence of a plateau in the structure function on these long time scales.The increase of the structure function at long time lags suggests that variability in the soft X-rays can be influenced by flux variations originated in the accretion disk or that they take place in a region large enough to justify variation on such long time scales.
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore FIS/05 - Astronomia e Astrofisica
English
Con Impact Factor ISI
Galaxies: active; Quasars: general; X-rays: general;
http://arxiv.org/abs/1612.08547
Middei, R., Vagnetti, F., Bianchi, S., La Franca, F., Paolillo, M., & Ursini, F. (2017). A long-term study of AGN X-ray variability: structure function analysis on a ROSAT-XMM quasar sample. ASTRONOMY & ASTROPHYSICS, 599 [10.1051/0004-6361/201629940].
Middei, R; Vagnetti, F; Bianchi, S; La Franca, F; Paolillo, M; Ursini, F
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/170605
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