University of Leicester
Browse

A historic jet-emission minimum reveals hidden spectral features in 3C 273

Download (227.37 kB)
journal contribution
posted on 2012-10-24, 09:05 authored by M. Türler, M. Chemyakova, T. J-L. Courvoisier, L. Popescu, C. Foellmi, M. F. Aller, H. D. Aller, A. Kraus, T. P. Krichbaum, A. Lähteenmäki, M. Tornikoski, A. Marscher, I. M. McHardy, P. T. O'Brien, K. L. Page, E. I. Robson, H. Ungerechts
Aims. The aim of this work is to identify and study spectral features in the quasar 3C 273 usually blended by its strong jet emission. Methods. A historic minimum in the sub-millimetre emission of 3C 273 triggered coordinated multi-wavelength observations in June 2004. X-ray observations from the INTEGRAL, XMM-Newton and RXTE satellites are complemented by ground-based optical, infrared, millimetre and radio observations. The overall spectrum is used to model the infrared and X-ray spectral components. Results. Three thermal dust emission components are identified in the infrared. The dust emission on scales from 1 pc to several kpc is comparable to that of other quasars, as expected by AGN unification schemes. The observed weakness of the X-ray emission supports the hypothesis of a synchrotron self-Compton origin for the jet component. There is a clear soft-excess and we find evidence for a very broad iron line which could be emitted in a disk around a Kerr black hole. Other signatures of a Seyfert-like X-ray component are not detected.

History

Citation

Astronomy & Astrophysics, 2006, 451 (1)

Version

  • VoR (Version of Record)

Published in

Astronomy & Astrophysics

Publisher

EDP Sciences for European Southern Observatory (ESO)

issn

0004-6361

eissn

1432-0746

Copyright date

2006

Available date

2012-10-24

Publisher version

http://www.aanda.org/articles/aa/abs/2006/19/aahl091/aahl091.html

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC