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Published June 1, 2017 | Published + Submitted
Journal Article Open

The X-Ray Reflection Spectrum of the Radio-loud Quasar 4C 74.26

Abstract

The relativistic jets created by some active galactic nuclei are important agents of AGN feedback. In spite of this, our understanding of what produces these jets is still incomplete. X-ray observations, which can probe the processes operating in the central regions in the immediate vicinity of the supermassive black hole, the presumed jet launching point, are potentially particularly valuable in illuminating the jet formation process. Here, we present the hard X-ray NuSTAR observations of the radio-loud quasar 4C 74.26 in a joint analysis with quasi-simultaneous, soft X-ray Swift observations. Our spectral analysis reveals a high-energy cutoff of 183^(+51)_(-35) keV and confirms the presence of ionized reflection in the source. From the average spectrum we detect that the accretion disk is mildly recessed, with an inner radius of R_(in) = 4–180 R_g. However, no significant evolution of the inner radius is seen during the three months covered by our NuSTAR campaign. This lack of variation could mean that the jet formation in this radio-loud quasar differs from what is observed in broad-line radio galaxies.

Additional Information

© 2017 The American Astronomical Society. Received 2017 January 2; revised 2017 April 3; accepted 2017 April 10; published 2017 May 26. The authors thank the referee for the useful comments that have helped to improve the manuscript. A.L. acknowledges support from the ERC Advanced Grant FEEDBACK 340442 and useful discussions with Niel Brandt. J.A.G. acknowledges partial funding provided by the Alexander von Humboldt Foundation. This work made use of data supplied by the UK Swift Science Data Centre at the University of Leicester. This work has made use of data from the NuSTAR mission, a project led by the California Institute of Technology, managed by the Jet Propulsion Laboratory and funded by the National Aeronautics and Space Administration. This research has made use of the NuSTAR Data Analysis Software (NuSTARDAS) jointly developed by the ASI Science Data Center (ASDC, Italy) and the California Institute of Technology (USA).

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Published - Lohfink_2017_ApJ_841_80.pdf

Submitted - 1704.03673.pdf

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