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PRIMUS + DEEP2: Clustering of X-Ray, Radio, and IR-AGNs at z ~ 0.7

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posted on 09.08.2018, 13:49 by Alexander J. Mendez, Alison L. Coil, James Aird, Ramin A. Skibba, Aleksandar M. Diamond-Stanic, John Moustakas, Michael R. Blanton, Richard J. Cool, Daniel J. Eisenstein, Kenneth C. Wong, Guangtun Zhu
We measure the clustering of X-ray, radio, and mid-IR-selected active galactic nuclei (AGNs) at 0.2$$lt z$$lt 1.2 using multi-wavelength imaging and spectroscopic redshifts from the PRIMUS and DEEP2 redshift surveys, covering seven separate fields spanning \sim10 deg 2 . Using the cross-correlation of AGNs with dense galaxy samples, we measure the clustering scale length and slope, as well as the bias, of AGNs selected at different wavelengths. Similar to previous studies, we find that X-ray and radio AGNs are more clustered than mid-IR-selected AGNs. We further compare the clustering of each AGN sample with matched galaxy samples designed to have the same stellar mass, star-formation rate (SFR), and redshift distributions as the AGN host galaxies and find no significant differences between their clustering properties. The observed differences in the clustering of AGNs selected at different wavelengths can therefore be explained by the clustering differences of their host populations, which have different distributions in both stellar mass and SFR. Selection biases inherent in AGN selection therefore determine the clustering of observed AGN samples. We further find no significant difference between the clustering of obscured and unobscured AGNs, using IRAC or Wide-field Infrared Survey Explorer colors or X-ray hardness ratio.

Funding

We thank Andy Goulding for reducing the DEEP2 02 hr IRAC data and providing a source catalog. Funding for PRIMUS has been provided by NSF grants AST-0607701, 0908246, 0908442, 0908354, and NASA grant 08-ADP08-0019. A.L.C. acknowledges support from NSF CAREER award AST-1055081. A.J.M. and J.A. acknowledge support from NASA grant NNX12AE23G through the Astrophysics Data Analysis Program. A.M.D. acknowledges support from The Grainger Foundation. We thank the CFHTLS, COSMOS, DLS, and SWIRE teams for their public data releases and/or access to early releases. This paper includes data gathered with the 6.5 m Magellan Telescopes located at Las Campanas Observatory, Chile. We thank the support staff at LCO for their help during our observations, and we acknowledge the use of community access through NOAO observing time. We use data from the DEEP2 survey, which was supported by NSF AST grants AST00-71048, AST00-71198, AST05-07428, AST05-07483, AST08-07630, and AST08-08133. This study makes use of data from AEGIS Survey and in particular uses data from ${\text{}}{GALEX}$, Keck, and CFHT. The AEGIS Survey was supported in part by the NSF, NASA, and the STFC. Some of the data used for this project are from the CFHTLS public data release, which includes observations obtained with MegaPrime/MegaCam, a joint project of CFHT and CEA/DAPNIA, at the Canada–France–Hawaii Telescope (CFHT) which is operated by the National Research Council (NRC) of Canada, the Institut National des Science de l'Univers of the Centre National de la Recherche Scientifique (CNRS) of France, and the University of Hawaii. This work is based in part on data products produced at TERAPIX and the Canadian Astronomy Data Centre as part of the Canada–France–Hawaii Telescope Legacy Survey, a collaborative project of the NRC and CNRS. We also thank those who have built and operate the Chandra and XMM-Newton X-Ray Observatories. This research has made use of the NASA/IPAC Infrared Science Archive, which is

History

Citation

Astrophysical Journal, 2016, 821, pp. 55-55

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy

Version

VoR (Version of Record)

Published in

Astrophysical Journal

Publisher

American Astronomical Society, IOP Publishing

issn

0004-637X

eissn

1538-4357

Acceptance date

11/02/2016

Copyright date

2016

Available date

09/08/2018

Publisher version

http://iopscience.iop.org/article/10.3847/0004-637X/821/1/55/meta

Language

en

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