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  5. X-ray spectra, light curves and SEDs of blazars frequently observed by Swift
 

X-ray spectra, light curves and SEDs of blazars frequently observed by Swift

Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY  
Date Issued
2021
Author(s)
Giommi, Paolo
•
PERRI, Matteo  
•
CAPALBI, Milvia  
•
D'Elia, V.
•
Barres de Almeida, U.
•
Brandt, C. H.
•
Pollock, A. M. T.
•
Arneodo, F.
•
Di Giovanni, A.
•
Chang, Y. L.
•
Civitarese, O.
•
De Angelis, M.
•
Leto, C.
•
VERRECCHIA, Francesco  
•
Ricard, N.
•
Di Pippo, S.
•
Middei, R.
•
Penacchioni, A. V.
•
Ruffini, R.
•
Sahakyan, N.
•
Israyelyan, D.
•
Turriziani, S.
DOI
10.1093/mnras/stab2425
Abstract
Blazars research is one of the hot topics of contemporary extragalactic astrophysics. That is because these sources are the most abundant type of extragalactic γ-ray sources and are suspected to play a central role in multimessenger astrophysics. We have used Swift$\_$xrtproc, a tool to carry out an accurate spectral and photometric analysis of the Swift-XRT data of all blazars observed by Swift at least 50 times between December 2004 and the end of 2020. We present a database of X-ray spectra, best-fit parameter values, count rates and flux estimations in several energy bands of over 31 000 X-ray observations and single snapshots of 65 blazars. The results of the X-ray analysis have been combined with other multifrequency archival data to assemble the broad-band Spectral Energy Distributions (SEDs) and the long-term light curves of all sources in the sample. Our study shows that large X-ray luminosity variability on different time-scales is present in all objects. Spectral changes are also frequently observed with a 'harder-when-brighter' or 'softer-when-brighter' behaviour depending on the SED type of the blazars. The peak energy of the synchrotron component (νpeak) in the SED of HBL blazars, estimated from the log-parabolic shape of their X-ray spectra, also exhibits very large changes in the same source, spanning a range of over two orders of magnitude in Mrk421 and Mrk501, the objects with the best data sets in our sample.
Volume
507
Issue
4
Start page
5690
Uri
http://hdl.handle.net/20.500.12386/36263
Url
https://academic.oup.com/mnras/article/507/4/5690/6359158
Issn Identifier
0035-8711
Ads BibCode
2021MNRAS.507.5690G
Rights
open.access
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