A multi-wavelength study of low-redshift clusters of galaxies. I. comparison of x-ray and mid-infrared selected active galactic nuclei
Astrophysical Journal, ISSN: 1538-4357, Vol: 729, Issue: 1
2011
- 14Citations
- 24Captures
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Article Description
Clusters of galaxies have long been used as laboratories for the study of galaxy evolution, but despite intense, recent interest in feedback between active galactic nuclei (AGNs) and their hosts, the impact of environment on these relationships remains poorly constrained. We present results from a study of AGNs and their host galaxies found in low-redshift galaxy clusters. We fit model spectral energy distributions (SEDs) to the combined visible and mid-infrared (MIR) photometry of cluster members and use these model SEDs to determine stellar masses and star formation rates (SFRs). We identify two populations of AGNs, the first based on their X-ray luminosities (X-ray AGNs) and the second based on the presence of a significant AGN component in their model SEDs (IR AGNs). We find that the two AGN populations are nearly disjoint; only 8 out of 44 AGNs are identified with both techniques. We further find that IR AGNs are hosted by galaxies with similar masses and SFRs but higher specific SFRs (sSFRs) than X-ray AGN hosts. The relationship between AGN accretion and host star formation in cluster AGN hosts shows no significant difference compared to the relationship between field AGNs and their hosts. The projected radial distributions of both AGN populations are consistent with the distribution of other cluster members. We argue that the apparent dichotomy between X-ray and IR AGNs can be understood as a combination of differing extinction due to cold gas in the host galaxies of the two classes of AGNs and the presence of weak star formation in X-ray AGN hosts. © 2011. The American Astronomical Society. All rights reserved.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79952156418&origin=inward; http://dx.doi.org/10.1088/0004-637x/729/1/22; http://stacks.iop.org/0004-637X/729/i=1/a=22?key=crossref.df93085b3df24e11b4f995ce7df5bb4f; https://iopscience.iop.org/article/10.1088/0004-637X/729/1/22; http://stacks.iop.org/0004-637X/729/i=1/a=22/pdf; https://dx.doi.org/10.1088/0004-637x/729/1/22; https://validate.perfdrive.com/fb803c746e9148689b3984a31fccd902/?ssa=86d04927-927d-4bc2-9895-59b507bb6eda&ssb=89517223347&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F0004-637X%2F729%2F1%2F22&ssi=adf5a219-8427-4088-873e-42aa8d8738e7&ssk=support@shieldsquare.com&ssm=48369591231664176602652446540027748&ssn=7e67759875118e856f1c5b1c15d880d0ec8b17f9ea44-4e1f-4e35-bf1c58&sso=dc10415e-f9d9f87a371fa997ff93a0da33d99265794ea3ec0d3b77d0&ssp=25615618491719394563171963139591708&ssq=70907643066096516147005699550533400134357&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJyZCI6ImlvcC5vcmciLCJ1em14IjoiN2Y5MDAwMWUxYTVkMGQtYjRlNi00ZTQ0LWFmYTgtNzUxMTFmZjg0ZDlmNS0xNzE5MzA1Njk5NDA1MzI0OTYxMzY0LThiOGFhNmUzZThhMzM0OTA2MDI1OSIsIl9fdXptZiI6IjdmNjAwMGMwYjYzMzU0LTQ4ZGQtNGM1NS04NWZlLTQ3NmYyODFjMTlkODE3MTkzMDU2OTk0MDUzMjQ5NjEzNjQtMGYzN2Y5OTlhMDU1OGI3NDYwMjU5In0=
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