Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/164977 |
Resumo: | We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods—ANNZ2, BPZ calibrated against BCC-Ufig simulations, SKYNET, and TPZ—are analyzed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evaluated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-z’s. From the galaxies in the DES SV shear catalogue, which have mean redshift 0.72 0.01 over the range 0.3 < z < 1.3, we construct three tomographic bins with means of z ¼ f0.45; 0.67; 1.00g. These bins each have systematic uncertainties δz ≲ 0.05 in the mean of the fiducial SKYNET photo-z nðzÞ. We propagate the errors in the redshift distributions through to their impact on cosmological parameters estimated with cosmic shear, and find that they cause shifts in the value of σ8 of approximately 3%. This shift is within the one sigma statistical errors on σ8 for the DES SV shear catalogue. We further study the potential impact of systematic differences on the critical surface density, Σcrit, finding levels of bias safely less than the statistical power of DES SV data. We recommend a final Gaussian prior for the photo-z bias in the mean of nðzÞ of width 0.05 for each of the three tomographic bins, and show that this is a sufficient bias model for the corresponding cosmology analysis. |
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Bonnett, ChristopherTroxel, MichaelHartley, WilliamAmara, AdamLeistedt, BorisBecker, Matthew R.Bernstein, Gary M.Bridle, Sarah LouiseBruderer, ClaudioBusha, M. T.Carrasco Kind, MatíasChildress, MichaelCastander Serentill, Francisco JavierChang, ChihwayCrocce, MartinDavis, Tamara M.Eifler, TimFrieman, Joshua A.Gangkofner, C.Gaztañaga, EnriqueGlazebrook, KarlGruen, DanielKacprzak, TomaszKing, Anthea L.Kwan, JulianaLahav, OferLewis, Geraint F.Lidman, ChrisLin, H.MacCrann, NiallMiquel, RamonO'Neill, C. R.Palmese, A.Peiris, Hiranya V.Refregier, AlexandreRozo, EduardoRykoff, EliSadeh, IftachSánchez Alonso, CarlesSheldon, ErinUddin, SyedWechsler, Risa H.Zuntz, J.Abbott, Timothy M. C.Abdalla, Filipe B.Allam, Sahar S.Armstrong, RobertBanerji, M.Bauer, Anne HollisterBenoit-Lévy, AurélienBertin, EmmanuelBrooks, D.Buckley-Geer, ElizabethBurke, David LyleCapozzi, DiegoCarnero Rosell, AurelioCarretero Palacios, JorgeCunha, Carlos EduardoD'Andrea, Christopher B.Costa, Luiz N. daDePoy, Darren L.Desai, S.Diehl, H. ThomasDietrich, Jörg P.Doel, PeterFausti Neto, AngeloFernandez, EnriqueFlaugher, BrennaFosalba Vela, PabloGerdes, David W.Gruendl, Robert A.Honscheid, K.Jain, BhuvneshJames, David J.Jarvis, MichaelKim, A. G.Kuehn, KylerKuropatkin, Nikolay P.Li, T. S.Lima, Marcos Vinicius Borges TeixeiraMaia, Marcio Antonio GeimbaMarch, Marisa CristinaMarshall, Jennifer L.Martini, PaulMelchior, Peter M.Miller, Christopher J.Neilsen, Eric H.Nichol, Robert C.Nord, Brian DennisOgando, Ricardo L.C.Plazas Malagón, Andrés AlejandroReil, KevinRomer, Anita K.Roodman, AaronSako, MasaoSanchez-Alvaro, EusebioSantiago, Basilio XavierSmith, Robert ChristopherSoares-Santos, MarcelleSobreira, FláviaSuchyta, EricSwanson, Molly E. C.Tarle, GregoryThaler, Jon J.Thomas, D.Vikram, VinuWalker, AlistairDES Collaboration2017-08-09T02:36:10Z20161550-7998http://hdl.handle.net/10183/164977001023985We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods—ANNZ2, BPZ calibrated against BCC-Ufig simulations, SKYNET, and TPZ—are analyzed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evaluated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-z’s. From the galaxies in the DES SV shear catalogue, which have mean redshift 0.72 0.01 over the range 0.3 < z < 1.3, we construct three tomographic bins with means of z ¼ f0.45; 0.67; 1.00g. These bins each have systematic uncertainties δz ≲ 0.05 in the mean of the fiducial SKYNET photo-z nðzÞ. We propagate the errors in the redshift distributions through to their impact on cosmological parameters estimated with cosmic shear, and find that they cause shifts in the value of σ8 of approximately 3%. This shift is within the one sigma statistical errors on σ8 for the DES SV shear catalogue. We further study the potential impact of systematic differences on the critical surface density, Σcrit, finding levels of bias safely less than the statistical power of DES SV data. We recommend a final Gaussian prior for the photo-z bias in the mean of nðzÞ of width 0.05 for each of the three tomographic bins, and show that this is a sufficient bias model for the corresponding cosmology analysis.application/pdfengPhysical review. D, Particles, fields, gravitation, and cosmology. College Park. Vol. 94, no. 4 (Aug. 2016), 042005, 26 p.Deslocamento para o vermelhoLentes gravitacionaisGaláxiasFotometria astronômicaRedshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensingEstrangeiroinfo: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:UFRGSORIGINAL001023985.pdf001023985.pdfTexto completo (inglês)application/pdf2301271http://www.lume.ufrgs.br/bitstream/10183/164977/1/001023985.pdf020aed953f64bfae5e5859ef34775d29MD51TEXT001023985.pdf.txt001023985.pdf.txtExtracted Texttext/plain116427http://www.lume.ufrgs.br/bitstream/10183/164977/2/001023985.pdf.txt10e676cf2b461919f6f72b8e5fe3fbf2MD52THUMBNAIL001023985.pdf.jpg001023985.pdf.jpgGenerated Thumbnailimage/jpeg1781http://www.lume.ufrgs.br/bitstream/10183/164977/3/001023985.pdf.jpg1c159b440c5a45b3932148ccb76ca291MD5310183/1649772023-07-02 03:42:03.860168oai:www.lume.ufrgs.br:10183/164977Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-07-02T06:42:03Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing |
title |
Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing |
spellingShingle |
Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing Bonnett, Christopher Deslocamento para o vermelho Lentes gravitacionais Galáxias Fotometria astronômica |
title_short |
Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing |
title_full |
Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing |
title_fullStr |
Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing |
title_full_unstemmed |
Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing |
title_sort |
Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing |
author |
Bonnett, Christopher |
author_facet |
Bonnett, Christopher Troxel, Michael Hartley, William Amara, Adam Leistedt, Boris Becker, Matthew R. Bernstein, Gary M. Bridle, Sarah Louise Bruderer, Claudio Busha, M. T. Carrasco Kind, Matías Childress, Michael Castander Serentill, Francisco Javier Chang, Chihway Crocce, Martin Davis, Tamara M. Eifler, Tim Frieman, Joshua A. Gangkofner, C. Gaztañaga, Enrique Glazebrook, Karl Gruen, Daniel Kacprzak, Tomasz King, Anthea L. Kwan, Juliana Lahav, Ofer Lewis, Geraint F. Lidman, Chris Lin, H. MacCrann, Niall Miquel, Ramon O'Neill, C. R. Palmese, A. Peiris, Hiranya V. Refregier, Alexandre Rozo, Eduardo Rykoff, Eli Sadeh, Iftach Sánchez Alonso, Carles Sheldon, Erin Uddin, Syed Wechsler, Risa H. Zuntz, J. Abbott, Timothy M. C. Abdalla, Filipe B. Allam, Sahar S. Armstrong, Robert Banerji, M. Bauer, Anne Hollister Benoit-Lévy, Aurélien Bertin, Emmanuel Brooks, D. Buckley-Geer, Elizabeth Burke, David Lyle Capozzi, Diego Carnero Rosell, Aurelio Carretero Palacios, Jorge Cunha, Carlos Eduardo D'Andrea, Christopher B. Costa, Luiz N. da DePoy, Darren L. Desai, S. Diehl, H. Thomas Dietrich, Jörg P. Doel, Peter Fausti Neto, Angelo Fernandez, Enrique Flaugher, Brenna Fosalba Vela, Pablo Gerdes, David W. Gruendl, Robert A. Honscheid, K. Jain, Bhuvnesh James, David J. Jarvis, Michael Kim, A. G. Kuehn, Kyler Kuropatkin, Nikolay P. Li, T. S. Lima, Marcos Vinicius Borges Teixeira Maia, Marcio Antonio Geimba March, Marisa Cristina Marshall, Jennifer L. Martini, Paul Melchior, Peter M. Miller, Christopher J. Neilsen, Eric H. Nichol, Robert C. Nord, Brian Dennis Ogando, Ricardo L.C. Plazas Malagón, Andrés Alejandro Reil, Kevin Romer, Anita K. Roodman, Aaron Sako, Masao Sanchez-Alvaro, Eusebio Santiago, Basilio Xavier Smith, Robert Christopher Soares-Santos, Marcelle Sobreira, Flávia Suchyta, Eric Swanson, Molly E. C. Tarle, Gregory Thaler, Jon J. Thomas, D. Vikram, Vinu Walker, Alistair DES Collaboration |
author_role |
author |
author2 |
Troxel, Michael Hartley, William Amara, Adam Leistedt, Boris Becker, Matthew R. Bernstein, Gary M. Bridle, Sarah Louise Bruderer, Claudio Busha, M. T. Carrasco Kind, Matías Childress, Michael Castander Serentill, Francisco Javier Chang, Chihway Crocce, Martin Davis, Tamara M. Eifler, Tim Frieman, Joshua A. Gangkofner, C. Gaztañaga, Enrique Glazebrook, Karl Gruen, Daniel Kacprzak, Tomasz King, Anthea L. Kwan, Juliana Lahav, Ofer Lewis, Geraint F. Lidman, Chris Lin, H. MacCrann, Niall Miquel, Ramon O'Neill, C. R. Palmese, A. Peiris, Hiranya V. Refregier, Alexandre Rozo, Eduardo Rykoff, Eli Sadeh, Iftach Sánchez Alonso, Carles Sheldon, Erin Uddin, Syed Wechsler, Risa H. Zuntz, J. Abbott, Timothy M. C. Abdalla, Filipe B. Allam, Sahar S. Armstrong, Robert Banerji, M. Bauer, Anne Hollister Benoit-Lévy, Aurélien Bertin, Emmanuel Brooks, D. Buckley-Geer, Elizabeth Burke, David Lyle Capozzi, Diego Carnero Rosell, Aurelio Carretero Palacios, Jorge Cunha, Carlos Eduardo D'Andrea, Christopher B. Costa, Luiz N. da DePoy, Darren L. Desai, S. Diehl, H. Thomas Dietrich, Jörg P. Doel, Peter Fausti Neto, Angelo Fernandez, Enrique Flaugher, Brenna Fosalba Vela, Pablo Gerdes, David W. Gruendl, Robert A. Honscheid, K. Jain, Bhuvnesh James, David J. Jarvis, Michael Kim, A. G. Kuehn, Kyler Kuropatkin, Nikolay P. Li, T. S. Lima, Marcos Vinicius Borges Teixeira Maia, Marcio Antonio Geimba March, Marisa Cristina Marshall, Jennifer L. Martini, Paul Melchior, Peter M. Miller, Christopher J. Neilsen, Eric H. Nichol, Robert C. Nord, Brian Dennis Ogando, Ricardo L.C. Plazas Malagón, Andrés Alejandro Reil, Kevin Romer, Anita K. Roodman, Aaron Sako, Masao Sanchez-Alvaro, Eusebio Santiago, Basilio Xavier Smith, Robert Christopher Soares-Santos, Marcelle Sobreira, Flávia Suchyta, Eric Swanson, Molly E. C. Tarle, Gregory Thaler, Jon J. Thomas, D. Vikram, Vinu Walker, Alistair DES Collaboration |
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 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 |
Bonnett, Christopher Troxel, Michael Hartley, William Amara, Adam Leistedt, Boris Becker, Matthew R. Bernstein, Gary M. Bridle, Sarah Louise Bruderer, Claudio Busha, M. T. Carrasco Kind, Matías Childress, Michael Castander Serentill, Francisco Javier Chang, Chihway Crocce, Martin Davis, Tamara M. Eifler, Tim Frieman, Joshua A. Gangkofner, C. Gaztañaga, Enrique Glazebrook, Karl Gruen, Daniel Kacprzak, Tomasz King, Anthea L. Kwan, Juliana Lahav, Ofer Lewis, Geraint F. Lidman, Chris Lin, H. MacCrann, Niall Miquel, Ramon O'Neill, C. R. Palmese, A. Peiris, Hiranya V. Refregier, Alexandre Rozo, Eduardo Rykoff, Eli Sadeh, Iftach Sánchez Alonso, Carles Sheldon, Erin Uddin, Syed Wechsler, Risa H. Zuntz, J. Abbott, Timothy M. C. Abdalla, Filipe B. Allam, Sahar S. Armstrong, Robert Banerji, M. Bauer, Anne Hollister Benoit-Lévy, Aurélien Bertin, Emmanuel Brooks, D. Buckley-Geer, Elizabeth Burke, David Lyle Capozzi, Diego Carnero Rosell, Aurelio Carretero Palacios, Jorge Cunha, Carlos Eduardo D'Andrea, Christopher B. Costa, Luiz N. da DePoy, Darren L. Desai, S. Diehl, H. Thomas Dietrich, Jörg P. Doel, Peter Fausti Neto, Angelo Fernandez, Enrique Flaugher, Brenna Fosalba Vela, Pablo Gerdes, David W. Gruendl, Robert A. Honscheid, K. Jain, Bhuvnesh James, David J. Jarvis, Michael Kim, A. G. Kuehn, Kyler Kuropatkin, Nikolay P. Li, T. S. Lima, Marcos Vinicius Borges Teixeira Maia, Marcio Antonio Geimba March, Marisa Cristina Marshall, Jennifer L. Martini, Paul Melchior, Peter M. Miller, Christopher J. Neilsen, Eric H. Nichol, Robert C. Nord, Brian Dennis Ogando, Ricardo L.C. Plazas Malagón, Andrés Alejandro Reil, Kevin Romer, Anita K. Roodman, Aaron Sako, Masao Sanchez-Alvaro, Eusebio Santiago, Basilio Xavier Smith, Robert Christopher Soares-Santos, Marcelle Sobreira, Flávia Suchyta, Eric Swanson, Molly E. C. Tarle, Gregory Thaler, Jon J. Thomas, D. Vikram, Vinu Walker, Alistair DES Collaboration |
dc.subject.por.fl_str_mv |
Deslocamento para o vermelho Lentes gravitacionais Galáxias Fotometria astronômica |
topic |
Deslocamento para o vermelho Lentes gravitacionais Galáxias Fotometria astronômica |
description |
We present photometric redshift estimates for galaxies used in the weak lensing analysis of the Dark Energy Survey Science Verification (DES SV) data. Four model- or machine learning-based photometric redshift methods—ANNZ2, BPZ calibrated against BCC-Ufig simulations, SKYNET, and TPZ—are analyzed. For training, calibration, and testing of these methods, we construct a catalogue of spectroscopically confirmed galaxies matched against DES SV data. The performance of the methods is evaluated against the matched spectroscopic catalogue, focusing on metrics relevant for weak lensing analyses, with additional validation against COSMOS photo-z’s. From the galaxies in the DES SV shear catalogue, which have mean redshift 0.72 0.01 over the range 0.3 < z < 1.3, we construct three tomographic bins with means of z ¼ f0.45; 0.67; 1.00g. These bins each have systematic uncertainties δz ≲ 0.05 in the mean of the fiducial SKYNET photo-z nðzÞ. We propagate the errors in the redshift distributions through to their impact on cosmological parameters estimated with cosmic shear, and find that they cause shifts in the value of σ8 of approximately 3%. This shift is within the one sigma statistical errors on σ8 for the DES SV shear catalogue. We further study the potential impact of systematic differences on the critical surface density, Σcrit, finding levels of bias safely less than the statistical power of DES SV data. We recommend a final Gaussian prior for the photo-z bias in the mean of nðzÞ of width 0.05 for each of the three tomographic bins, and show that this is a sufficient bias model for the corresponding cosmology analysis. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016 |
dc.date.accessioned.fl_str_mv |
2017-08-09T02:36:10Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/164977 |
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1550-7998 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001023985 |
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1550-7998 001023985 |
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http://hdl.handle.net/10183/164977 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Physical review. D, Particles, fields, gravitation, and cosmology. College Park. Vol. 94, no. 4 (Aug. 2016), 042005, 26 p. |
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info:eu-repo/semantics/openAccess |
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openAccess |
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