The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts

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dc.contributor.authorNakazono L.
dc.contributor.authorValenca R.R.
dc.contributor.authorSoares G.
dc.contributor.authorIzbicki R.
dc.contributor.authorIvezic Z.
dc.contributor.authorLima E.V.R.
dc.contributor.authorHirata N.S.T.
dc.contributor.authorSodre L.
dc.contributor.authorOverzier R.
dc.contributor.authorAlmeida-Fernandes F.
dc.contributor.authorSchwarz G.B.O.
dc.contributor.authorSchoenell W.
dc.contributor.authorKanaan A.
dc.contributor.authorRibeiro T.
dc.contributor.authorde Oliveira C.M.
dc.date.accessioned2024-06-01T06:10:57Z
dc.date.available2024-06-01T06:10:57Z
dc.date.issued2024
dc.description.abstract© 2024 Oxford University Press. All rights reserved.The advent of massive broad-band photometric surveys enabled photometric redshift estimates for unprecedented numbers of galaxies and quasars. These estimates can be improved using better algorithms or by obtaining complementary data such as narrow-band photometry, and broad-band photometry over an extended wavelength range. We investigate the impact of both approaches on photometric redshifts for quasars using data from Southern Photometric Local Universe Survey (S-PLUS) DR4, Galaxy Evolution Explorer (GALEX) DR6/7, and the unWISE catalog for the Wide-field Infrared Survey Explorer (WISE) in three machine learning methods: Random Forest, Flexible Conditional Density Estimation (FlexCoDE), and Bayesian Mixture Density Network (BMDN). Including narrow-band photometry improves the root-mean-square error by 11 per cent in comparison to a model trained with only broad-band photometry. Narrow-band information only provided an improvement of 3.8 per cent when GALEX and WISE colours were included. Thus, narrow bands play a more important role for objects that do not have GALEX or WISE counterparts, which respectively makes 92 per cent and 25 per cent of S-PLUS data considered here. Nevertheless, the inclusion of narrow-band information provided better estimates of the probability density functions obtained with FlexCoDE and BMDN. We publicly release a value-added catalogue of photometrically selected quasars with the photo-z predictions from all methods studied here. The catalogue provided with this work covers the S-PLUS DR4 area (∼3000 square degrees), containing 645 980, 244 912, 144 991 sources with the probability of being a quasar higher than, 80 per cent, 90 per cent, 95 per cent up to r < 21.3 and good photometry quality in the detection image. More quasar candidates can be retrieved from the S-PLUS data base by considering less restrictive selection criteria.
dc.description.firstpage327
dc.description.issuenumber1
dc.description.lastpage339
dc.description.volume531
dc.identifier.doi10.1093/mnras/stae971
dc.identifier.issnNone
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/38723
dc.relation.ispartofMonthly Notices of the Royal Astronomical Society
dc.rightsAcesso Aberto
dc.subject.otherlanguagecatalogues
dc.subject.otherlanguagemethods: statistical
dc.subject.otherlanguagequasars: general
dc.subject.otherlanguagesurveys
dc.titleThe Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts
dc.typeArtigo
local.scopus.citations2
local.scopus.eid2-s2.0-85193493486
local.scopus.subjectBroad bands
local.scopus.subjectCatalog
local.scopus.subjectConditional density
local.scopus.subjectGalaxy evolution
local.scopus.subjectMethods:statistical
local.scopus.subjectNarrow bands
local.scopus.subjectPhotometrics
local.scopus.subjectQuasars:general
local.scopus.subjectRed shift
local.scopus.subjectWide-field
local.scopus.updated2025-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85193493486&origin=inward
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