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Neural networks and the classification of active galactic nucleus spectra

Rawson, D. M.; Bailey, J.; Francis, Paul

Description

The use of artificial neural networks (ANNs) as a classifier of digital spectra is investigated. Using both simulated and real data, it is shown that neural networks can be trained to discriminate between the spectra of different classes of active galactic nucleus (AGN) with realistic sample sizes and signal-to-noise ratios. By working in the Fourier domain, neural nets can classify objects without knowledge of their redshifts.

dc.contributor.authorRawson, D. M.
dc.contributor.authorBailey, J.
dc.contributor.authorFrancis, Paul
dc.date.accessioned2018-09-10T02:02:30Z
dc.identifier.issn1323-3580
dc.identifier.urihttp://hdl.handle.net/1885/147262
dc.description.abstractThe use of artificial neural networks (ANNs) as a classifier of digital spectra is investigated. Using both simulated and real data, it is shown that neural networks can be trained to discriminate between the spectra of different classes of active galactic nucleus (AGN) with realistic sample sizes and signal-to-noise ratios. By working in the Fourier domain, neural nets can classify objects without knowledge of their redshifts.
dc.format.mimetypeapplication/pdf
dc.publisherCambridge University Press
dc.rights© Astronomical Society of Australia
dc.sourcePublications of the Astronomical Society of Australia
dc.titleNeural networks and the classification of active galactic nucleus spectra
dc.typeJournal article
local.description.notesThe author was affiliated with University of Melbourne when the paper was published.
local.identifier.citationvolume13
dc.date.issued1996
local.publisher.urlhttp://www.cambridge.org/
local.type.statusPublished Version
local.contributor.affiliationFrancis, P., Mount Stromlo Observatory, Research School of Astronomy and Astrophysics, The Australian National University
local.description.embargo2037-12-31
local.identifier.essn1448-6083
local.bibliographicCitation.issue3
local.bibliographicCitation.startpage207
local.bibliographicCitation.lastpage211
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

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