Extremely red objects in the UKIDSS Ultra Deep Survey Early Data Release
We construct a sample of extremely red objects (EROs) within the UKIDSS Ultra Deep Survey by combining the Early Data Release with optical data from the Subaru/XMM-Newton Deep Field. We find a total of 3715 objects over 2013 sq. arcmin with R-K>5.3 and K<=20.3, which is a higher surfac...
Main Authors: | , , , , , , , , , , , |
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Format: | Journal article |
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2006
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author | Simpson, C Almaini, O Cirasuolo, M Dunlop, J Foucaud, S Hirst, P Ivison, R Page, M Rawlings, S Sekiguchi, K Smail, I Watson, M |
author_facet | Simpson, C Almaini, O Cirasuolo, M Dunlop, J Foucaud, S Hirst, P Ivison, R Page, M Rawlings, S Sekiguchi, K Smail, I Watson, M |
author_sort | Simpson, C |
collection | OXFORD |
description | We construct a sample of extremely red objects (EROs) within the UKIDSS Ultra Deep Survey by combining the Early Data Release with optical data from the Subaru/XMM-Newton Deep Field. We find a total of 3715 objects over 2013 sq. arcmin with R-K>5.3 and K<=20.3, which is a higher surface density than found by previous studies. This is partly due to our ability to use a small aperture in which to measure colours, but is also the result of a genuine overdensity of objects compared to other fields. We separate our sample into passively-evolving and dusty star-forming galaxies using their RJK colours and investigate their radio properties using a deep radio map. The dusty population has a higher fraction of individually-detected radio sources and a higher mean radio flux density among the undetected objects, but the passive population has a higher fraction of bright radio sources, suggesting that AGNs are more prevalent among the passive ERO population. |
first_indexed | 2024-03-07T00:10:02Z |
format | Journal article |
id | oxford-uuid:78ea8f39-8928-428b-8703-50952dfc608b |
institution | University of Oxford |
last_indexed | 2024-03-07T00:10:02Z |
publishDate | 2006 |
record_format | dspace |
spelling | oxford-uuid:78ea8f39-8928-428b-8703-50952dfc608b2022-03-26T20:33:47ZExtremely red objects in the UKIDSS Ultra Deep Survey Early Data ReleaseJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:78ea8f39-8928-428b-8703-50952dfc608bSymplectic Elements at Oxford2006Simpson, CAlmaini, OCirasuolo, MDunlop, JFoucaud, SHirst, PIvison, RPage, MRawlings, SSekiguchi, KSmail, IWatson, MWe construct a sample of extremely red objects (EROs) within the UKIDSS Ultra Deep Survey by combining the Early Data Release with optical data from the Subaru/XMM-Newton Deep Field. We find a total of 3715 objects over 2013 sq. arcmin with R-K>5.3 and K<=20.3, which is a higher surface density than found by previous studies. This is partly due to our ability to use a small aperture in which to measure colours, but is also the result of a genuine overdensity of objects compared to other fields. We separate our sample into passively-evolving and dusty star-forming galaxies using their RJK colours and investigate their radio properties using a deep radio map. The dusty population has a higher fraction of individually-detected radio sources and a higher mean radio flux density among the undetected objects, but the passive population has a higher fraction of bright radio sources, suggesting that AGNs are more prevalent among the passive ERO population. |
spellingShingle | Simpson, C Almaini, O Cirasuolo, M Dunlop, J Foucaud, S Hirst, P Ivison, R Page, M Rawlings, S Sekiguchi, K Smail, I Watson, M Extremely red objects in the UKIDSS Ultra Deep Survey Early Data Release |
title | Extremely red objects in the UKIDSS Ultra Deep Survey Early Data Release |
title_full | Extremely red objects in the UKIDSS Ultra Deep Survey Early Data Release |
title_fullStr | Extremely red objects in the UKIDSS Ultra Deep Survey Early Data Release |
title_full_unstemmed | Extremely red objects in the UKIDSS Ultra Deep Survey Early Data Release |
title_short | Extremely red objects in the UKIDSS Ultra Deep Survey Early Data Release |
title_sort | extremely red objects in the ukidss ultra deep survey early data release |
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