Long-term NIR Variability in the UKIDSS Ultra Deep Survey: a new probe of AGN activity at high redshift.
dc.contributor.author | Elmer, E. | |
dc.contributor.author | Almaini, O. | |
dc.contributor.author | Merrifield, M. | |
dc.contributor.author | Hartley, W. G. | |
dc.contributor.author | Maltby, D. T. | |
dc.contributor.author | Botti, Ismael | |
dc.contributor.author | Lawrence, A. | |
dc.contributor.author | Hirst, P. | |
dc.date.accessioned | 2021-08-24T21:03:40Z | |
dc.date.available | 2021-08-24T21:03:40Z | |
dc.date.issued | 2019 | |
dc.description.abstract | We present the first attempt to select AGN using long-term NIR variability. By analysing the K-band light curves of all the galaxies in the UKIDSS Ultra Deep Survey, the deepest NIR survey over ∼ 1 sq degree, we have isolated 393 variable AGN candidates. A comparison to other selection techniques shows that only half of the variable sources are also selected using either deep Chandra X-ray imaging or IRAC colour selection, suggesting that using NIR variability can locate AGN that are missed by more standard selection techniques. In particular, we find that long-term NIR variability identifies AGN at low luminosities and in host galaxies with low stellar masses, many of which appear relatively X-ray quiet. | es |
dc.identifier.citation | Monthly Notices of the Royal Astronomical Society, 2019:1-11 | es |
dc.identifier.uri | https://doi.org/10.1093/mnras/staa381 | es |
dc.identifier.uri | http://hdl.handle.net/11447/4458 | |
dc.language.iso | en | es |
dc.subject | Galaxies: active | es |
dc.subject | Infrared: galaxies | es |
dc.subject | Surveys | es |
dc.subject | X-rays: galaxies | es |
dc.title | Long-term NIR Variability in the UKIDSS Ultra Deep Survey: a new probe of AGN activity at high redshift. | es |
dc.type | Article | es |
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