VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/159693 |
Resumo: | We present the discovery and preliminary characterization of a gravitationally lensed quasar with a source redshift zs = 2.74 and image separation of 2.9 arcsec lensed by a foreground zl = 0.40 elliptical galaxy. Since optical observations of gravitationally lensed quasars showthe lens system as a superposition of multiple point sources and a foreground lensing galaxy, we have developed a morphology-independent multi-wavelength approach to the photometric selection of lensed quasar candidates based on Gaussian Mixture Models (GMM) supervised machine learning. Using this technique and gi multicolour photometric observations from the Dark Energy Survey (DES), near-IR JK photometry from the VISTA Hemisphere Survey (VHS) and WISE mid-IR photometry, we have identified a candidate system with two catalogue components with iAB = 18.61 and iAB = 20.44 comprising an elliptical galaxy and two blue point sources. Spectroscopic follow-up with NTT and the use of an archival AAT spectrum show that the point sources can be identified as a lensed quasar with an emission line redshift of z = 2.739 ± 0.003 and a foreground early-type galaxy with z = 0.400 ± 0.002.We model the system as a single isothermal ellipsoid and find the Einstein radius θE ∼ 1.47 arcsec, enclosed mass Menc ∼ 4 × 1011 M and a time delay of ∼52 d. The relatively wide separation, month scale time delay duration and high redshift make this an ideal system for constraining the expansion rate beyond a redshift of 1. |
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Ostrovski, F.McMahon, Richard G.Connolly, Andrew J.Lemon, Cameron A.Auger, Matthew W.Banerji, M.Hung, Johnathan M.Koposov, Sergey E.Lidman, ChrisReed, Sophie L.Allam, Sahar S.Benoit-Lévy, AurélienBertin, EmmanuelBrooks, D.Buckley-Geer, ElizabethCarnero Rosell, AurelioCarrasco Kind, MatíasCarretero Palacios, JorgeCunha, Carlos EduardoCosta, Luiz N. daDesai, S.Diehl, H. ThomasDietrich, Jörg P.Evrard, August E.Finley, David A.Flaugher, BrennaFosalba Vela, PabloFrieman, Joshua A.Gerdes, David W.Goldstein, Daniel AbrahamGruen, DanielGruendl, Robert A.Gutierrez, Gaston R.Honscheid, K.James, David J.Kuehn, KylerKuropatkin, Nikolay P.Lima, Marcos Vinicius Borges TeixeiraLin, H.Maia, Marcio Antonio GeimbaMarshall, Jennifer L.Martini, PaulMelchior, Peter M.Miquel, RamonOgando, Ricardo L.C.Plazas Malagón, Andrés AlejandroReil, KevinRomer, KathySanchez-Alvaro, EusebioSantiago, Basilio XavierScarpine, Victor EmanuelSevilla Noarbe, IgnacioSoares-Santos, MarcelleSobreira, FláviaSuchyta, EricTarle, GregoryThomas, D.Tucker, Douglas L.Walker, Alistair2017-06-20T02:30:53Z20170035-8711http://hdl.handle.net/10183/159693001022008We present the discovery and preliminary characterization of a gravitationally lensed quasar with a source redshift zs = 2.74 and image separation of 2.9 arcsec lensed by a foreground zl = 0.40 elliptical galaxy. Since optical observations of gravitationally lensed quasars showthe lens system as a superposition of multiple point sources and a foreground lensing galaxy, we have developed a morphology-independent multi-wavelength approach to the photometric selection of lensed quasar candidates based on Gaussian Mixture Models (GMM) supervised machine learning. Using this technique and gi multicolour photometric observations from the Dark Energy Survey (DES), near-IR JK photometry from the VISTA Hemisphere Survey (VHS) and WISE mid-IR photometry, we have identified a candidate system with two catalogue components with iAB = 18.61 and iAB = 20.44 comprising an elliptical galaxy and two blue point sources. Spectroscopic follow-up with NTT and the use of an archival AAT spectrum show that the point sources can be identified as a lensed quasar with an emission line redshift of z = 2.739 ± 0.003 and a foreground early-type galaxy with z = 0.400 ± 0.002.We model the system as a single isothermal ellipsoid and find the Einstein radius θE ∼ 1.47 arcsec, enclosed mass Menc ∼ 4 × 1011 M and a time delay of ∼52 d. The relatively wide separation, month scale time delay duration and high redshift make this an ideal system for constraining the expansion rate beyond a redshift of 1.application/pdfengMonthly notices of the Royal Astronomical Society. Oxford. Vol. 465, no. 4 (Mar. 2017), p. 4325–4334Lentes gravitacionaisFotometria astronômicaDeslocamento para o vermelhoQuasarsGravitational lensing strongMethods observationalMethods statisticalQuasars generalVDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learningEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL001022008.pdf001022008.pdfTexto completo (inglês)application/pdf1324752http://www.lume.ufrgs.br/bitstream/10183/159693/1/001022008.pdf42fe590bea4011d734c2884140a1316eMD51TEXT001022008.pdf.txt001022008.pdf.txtExtracted Texttext/plain53172http://www.lume.ufrgs.br/bitstream/10183/159693/2/001022008.pdf.txtab55fc04bbf87297ca5530edbfd53cf3MD52THUMBNAIL001022008.pdf.jpg001022008.pdf.jpgGenerated Thumbnailimage/jpeg2032http://www.lume.ufrgs.br/bitstream/10183/159693/3/001022008.pdf.jpg0570726d0efaf43c79d819140cd934deMD5310183/1596932023-07-02 03:41:21.033354oai:www.lume.ufrgs.br:10183/159693Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-07-02T06:41:21Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning |
title |
VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning |
spellingShingle |
VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning Ostrovski, F. Lentes gravitacionais Fotometria astronômica Deslocamento para o vermelho Quasars Gravitational lensing strong Methods observational Methods statistical Quasars general |
title_short |
VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning |
title_full |
VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning |
title_fullStr |
VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning |
title_full_unstemmed |
VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning |
title_sort |
VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning |
author |
Ostrovski, F. |
author_facet |
Ostrovski, F. McMahon, Richard G. Connolly, Andrew J. Lemon, Cameron A. Auger, Matthew W. Banerji, M. Hung, Johnathan M. Koposov, Sergey E. Lidman, Chris Reed, Sophie L. Allam, Sahar S. Benoit-Lévy, Aurélien Bertin, Emmanuel Brooks, D. Buckley-Geer, Elizabeth Carnero Rosell, Aurelio Carrasco Kind, Matías Carretero Palacios, Jorge Cunha, Carlos Eduardo Costa, Luiz N. da Desai, S. Diehl, H. Thomas Dietrich, Jörg P. Evrard, August E. Finley, David A. Flaugher, Brenna Fosalba Vela, Pablo Frieman, Joshua A. Gerdes, David W. Goldstein, Daniel Abraham Gruen, Daniel Gruendl, Robert A. Gutierrez, Gaston R. Honscheid, K. James, David J. Kuehn, Kyler Kuropatkin, Nikolay P. Lima, Marcos Vinicius Borges Teixeira Lin, H. Maia, Marcio Antonio Geimba Marshall, Jennifer L. Martini, Paul Melchior, Peter M. Miquel, Ramon Ogando, Ricardo L.C. Plazas Malagón, Andrés Alejandro Reil, Kevin Romer, Kathy Sanchez-Alvaro, Eusebio Santiago, Basilio Xavier Scarpine, Victor Emanuel Sevilla Noarbe, Ignacio Soares-Santos, Marcelle Sobreira, Flávia Suchyta, Eric Tarle, Gregory Thomas, D. Tucker, Douglas L. Walker, Alistair |
author_role |
author |
author2 |
McMahon, Richard G. Connolly, Andrew J. Lemon, Cameron A. Auger, Matthew W. Banerji, M. Hung, Johnathan M. Koposov, Sergey E. Lidman, Chris Reed, Sophie L. Allam, Sahar S. Benoit-Lévy, Aurélien Bertin, Emmanuel Brooks, D. Buckley-Geer, Elizabeth Carnero Rosell, Aurelio Carrasco Kind, Matías Carretero Palacios, Jorge Cunha, Carlos Eduardo Costa, Luiz N. da Desai, S. Diehl, H. Thomas Dietrich, Jörg P. Evrard, August E. Finley, David A. Flaugher, Brenna Fosalba Vela, Pablo Frieman, Joshua A. Gerdes, David W. Goldstein, Daniel Abraham Gruen, Daniel Gruendl, Robert A. Gutierrez, Gaston R. Honscheid, K. James, David J. Kuehn, Kyler Kuropatkin, Nikolay P. Lima, Marcos Vinicius Borges Teixeira Lin, H. Maia, Marcio Antonio Geimba Marshall, Jennifer L. Martini, Paul Melchior, Peter M. Miquel, Ramon Ogando, Ricardo L.C. Plazas Malagón, Andrés Alejandro Reil, Kevin Romer, Kathy Sanchez-Alvaro, Eusebio Santiago, Basilio Xavier Scarpine, Victor Emanuel Sevilla Noarbe, Ignacio Soares-Santos, Marcelle Sobreira, Flávia Suchyta, Eric Tarle, Gregory Thomas, D. Tucker, Douglas L. Walker, Alistair |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Ostrovski, F. McMahon, Richard G. Connolly, Andrew J. Lemon, Cameron A. Auger, Matthew W. Banerji, M. Hung, Johnathan M. Koposov, Sergey E. Lidman, Chris Reed, Sophie L. Allam, Sahar S. Benoit-Lévy, Aurélien Bertin, Emmanuel Brooks, D. Buckley-Geer, Elizabeth Carnero Rosell, Aurelio Carrasco Kind, Matías Carretero Palacios, Jorge Cunha, Carlos Eduardo Costa, Luiz N. da Desai, S. Diehl, H. Thomas Dietrich, Jörg P. Evrard, August E. Finley, David A. Flaugher, Brenna Fosalba Vela, Pablo Frieman, Joshua A. Gerdes, David W. Goldstein, Daniel Abraham Gruen, Daniel Gruendl, Robert A. Gutierrez, Gaston R. Honscheid, K. James, David J. Kuehn, Kyler Kuropatkin, Nikolay P. Lima, Marcos Vinicius Borges Teixeira Lin, H. Maia, Marcio Antonio Geimba Marshall, Jennifer L. Martini, Paul Melchior, Peter M. Miquel, Ramon Ogando, Ricardo L.C. Plazas Malagón, Andrés Alejandro Reil, Kevin Romer, Kathy Sanchez-Alvaro, Eusebio Santiago, Basilio Xavier Scarpine, Victor Emanuel Sevilla Noarbe, Ignacio Soares-Santos, Marcelle Sobreira, Flávia Suchyta, Eric Tarle, Gregory Thomas, D. Tucker, Douglas L. Walker, Alistair |
dc.subject.por.fl_str_mv |
Lentes gravitacionais Fotometria astronômica Deslocamento para o vermelho Quasars |
topic |
Lentes gravitacionais Fotometria astronômica Deslocamento para o vermelho Quasars Gravitational lensing strong Methods observational Methods statistical Quasars general |
dc.subject.eng.fl_str_mv |
Gravitational lensing strong Methods observational Methods statistical Quasars general |
description |
We present the discovery and preliminary characterization of a gravitationally lensed quasar with a source redshift zs = 2.74 and image separation of 2.9 arcsec lensed by a foreground zl = 0.40 elliptical galaxy. Since optical observations of gravitationally lensed quasars showthe lens system as a superposition of multiple point sources and a foreground lensing galaxy, we have developed a morphology-independent multi-wavelength approach to the photometric selection of lensed quasar candidates based on Gaussian Mixture Models (GMM) supervised machine learning. Using this technique and gi multicolour photometric observations from the Dark Energy Survey (DES), near-IR JK photometry from the VISTA Hemisphere Survey (VHS) and WISE mid-IR photometry, we have identified a candidate system with two catalogue components with iAB = 18.61 and iAB = 20.44 comprising an elliptical galaxy and two blue point sources. Spectroscopic follow-up with NTT and the use of an archival AAT spectrum show that the point sources can be identified as a lensed quasar with an emission line redshift of z = 2.739 ± 0.003 and a foreground early-type galaxy with z = 0.400 ± 0.002.We model the system as a single isothermal ellipsoid and find the Einstein radius θE ∼ 1.47 arcsec, enclosed mass Menc ∼ 4 × 1011 M and a time delay of ∼52 d. The relatively wide separation, month scale time delay duration and high redshift make this an ideal system for constraining the expansion rate beyond a redshift of 1. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-06-20T02:30:53Z |
dc.date.issued.fl_str_mv |
2017 |
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Estrangeiro info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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0035-8711 |
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001022008 |
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http://hdl.handle.net/10183/159693 |
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eng |
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eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Monthly notices of the Royal Astronomical Society. Oxford. Vol. 465, no. 4 (Mar. 2017), p. 4325–4334 |
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openAccess |
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