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Estimating photometric redshifts with artificial neural networks
dc.contributor.authorFirth, Andrew E.en_US
dc.contributor.authorLahav, Oferen_US
dc.contributor.authorSomerville, Rachel S.en_US
dc.date.accessioned2010-06-01T21:17:23Z
dc.date.available2010-06-01T21:17:23Z
dc.date.issued2003-03en_US
dc.identifier.citationFirth, Andrew E.; Lahav, Ofer; Somerville, Rachel S. (2003). "Estimating photometric redshifts with artificial neural networks." Monthly Notices of the Royal Astronomical Society 339(4): 1195-1202. <http://hdl.handle.net/2027.42/74360>en_US
dc.identifier.issn0035-8711en_US
dc.identifier.issn1365-2966en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/74360
dc.description.abstractA new approach to estimating photometric redshifts – using artificial neural networks (ANNs) – is investigated. Unlike the standard template-fitting photometric redshift technique, a large spectroscopically-identified training set is required but, where one is available, ANNs produce photometric redshift accuracies at least as good as and often better than the template-fitting method. The Bayesian priors on the underlying redshift distribution are automatically taken into account. Furthermore, inputs other than galaxy colours – such as morphology, angular size and surface brightness – may be easily incorporated, and their utility assessed. Different ANN architectures are tested on a semi-analytic model galaxy catalogue and the results are compared with the template-fitting method. Finally, the method is tested on a sample of ∼20 000 galaxies from the Sloan Digital Sky Survey. The rms redshift error in the range z ≲ 0.35 is Σ z ∼ 0.021 .en_US
dc.format.extent503472 bytes
dc.format.extent3109 bytes
dc.format.mimetypeapplication/pdf
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dc.publisherBlackwell Science Ltden_US
dc.rightsRASen_US
dc.subject.otherMethods: Data Analysisen_US
dc.subject.otherSurveysen_US
dc.subject.otherGalaxies: Distances and Redshiftsen_US
dc.titleEstimating photometric redshifts with artificial neural networksen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelAstronomyen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Astronomy, University of Michigan, Ann Arbor, MI 48109-1090, USAen_US
dc.contributor.affiliationotherInstitute of Astronomy, University of Cambridge, Cambridge CB3 0HAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/74360/1/j.1365-8711.2003.06271.x.pdf
dc.identifier.doi10.1046/j.1365-8711.2003.06271.xen_US
dc.identifier.sourceMonthly Notices of the Royal Astronomical Societyen_US
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