The PAU survey: Narrow-band photometric redshifts using Gaussian processes

Soo, John Y. H., et al.

Detalles Bibliográficos
Autores: Soo, John Y. H., Casas, Ricard, Castander, Francisco J., García-Bellido, Juan, Gaztañaga, Enrique, Serrano, Santiago, Tallada-Crespí, Pau
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/262393
Acceso en línea:http://hdl.handle.net/10261/262393
Access Level:acceso abierto
Palabra clave:Methods: numerical
Methods: statistical
Galaxies: distances and redshifts
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dc.title.none.fl_str_mv The PAU survey: Narrow-band photometric redshifts using Gaussian processes
title The PAU survey: Narrow-band photometric redshifts using Gaussian processes
spellingShingle The PAU survey: Narrow-band photometric redshifts using Gaussian processes
Soo, John Y. H.
Methods: numerical
Methods: statistical
Galaxies: distances and redshifts
title_short The PAU survey: Narrow-band photometric redshifts using Gaussian processes
title_full The PAU survey: Narrow-band photometric redshifts using Gaussian processes
title_fullStr The PAU survey: Narrow-band photometric redshifts using Gaussian processes
title_full_unstemmed The PAU survey: Narrow-band photometric redshifts using Gaussian processes
title_sort The PAU survey: Narrow-band photometric redshifts using Gaussian processes
dc.creator.none.fl_str_mv Soo, John Y. H.
Casas, Ricard
Castander, Francisco J.
García-Bellido, Juan
Gaztañaga, Enrique
Serrano, Santiago
Tallada-Crespí, Pau
author Soo, John Y. H.
author_facet Soo, John Y. H.
Casas, Ricard
Castander, Francisco J.
García-Bellido, Juan
Gaztañaga, Enrique
Serrano, Santiago
Tallada-Crespí, Pau
author_role author
author2 Casas, Ricard
Castander, Francisco J.
García-Bellido, Juan
Gaztañaga, Enrique
Serrano, Santiago
Tallada-Crespí, Pau
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministry of Education (Malaysia)
University College London
National Science Centre (Poland)
Ministerio de Ciencia, Innovación y Universidades (España)
German Research Foundation
Netherlands Organization for Scientific Research
Generalitat de Catalunya
European Commission
Ministerio de Economía y Competitividad (España)
Durham University
Leiden University
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Methods: numerical
Methods: statistical
Galaxies: distances and redshifts
topic Methods: numerical
Methods: statistical
Galaxies: distances and redshifts
description Soo, John Y. H., et al.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/262393
url http://hdl.handle.net/10261/262393
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Royal Astronomical Society
publisher.none.fl_str_mv Royal Astronomical Society
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
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spelling The PAU survey: Narrow-band photometric redshifts using Gaussian processesSoo, John Y. H.Casas, RicardCastander, Francisco J.García-Bellido, JuanGaztañaga, EnriqueSerrano, SantiagoTallada-Crespí, PauMethods: numericalMethods: statisticalGalaxies: distances and redshiftsSoo, John Y. H., et al.We study the performance of the hybrid template machine learning photometric redshift (photo-z) algorithm DELIGHT, which uses Gaussian processes, on a subset of the early data release of the Physics of the Accelerating Universe Survey (PAUS). We calibrate the fluxes of the 40 PAUS narrow bands with six broad-band fluxes (uBVriz) in the Cosmic Evolution Survey (COSMOS) field using three different methods, including a new method that utilizes the correlation between the apparent size and overall flux of the galaxy. We use a rich set of empirically derived galaxy spectral templates as guides to train the Gaussian process, and we show that our results are competitive with other standard photometric redshift algorithms. DELIGHT achieves a photo-z 68th percentile error of σ = 0.0081(1 + z) without any quality cut for galaxies with i < 22.5 as compared to 0.0089(1 + z) and 0.0202(1 + z) for the BPZ and ANNZ2 codes, respectively. DELIGHT is also shown to produce more accurate probability distribution functions for individual redshift estimates than BPZ and ANNZ2. Common photo-z outliers of DELIGHT and BCNZ2 (previously applied to PAUS) are found to be primarily caused by outliers in the narrow-band fluxes, with a small number of cases potentially indicating spectroscopic redshift failures in the reference sample. In the process, we introduce performance metrics derived from the results of BCNZ2 and DELIGHT, allowing us to achieve a photo-z quality of σ < 0.0035(1 + z) at a magnitude of i < 22.5 while keeping 50 per cent objects of the galaxy sample.JYHS acknowledges financial support from the MyBrainSc Scholarship by the Ministry of Education, Malaysia, a studentship provided by Ofer Lahav, and the Short Term Research Grant by Universiti Sains Malaysia (304/PFIZIK/6315395). JYHS and BJ acknowledge support by the University College London Cosmoparticle Initiative. MS acknowledges funding from the National Science Centre, Poland (UMO-2016/23/N/ST9/02963) and the Spanish Ministry of Science and Innovation through the Juan de la Cierva Formación programme (FJC2018-038792-I). HHi acknowledges support by a Heisenberg grant of the Deutsche Forschungsgemeinschaft (Hi 1495/5-1) and an ERC Consolidator Grant (no. 770935). HHo acknowledges support from the Netherlands Organisation for Scientific Research (NWO) through grant 639.043.512. IEEC and IFAE are partially funded by the Institució Centres de Recerca de Catalunya (CERCA) and Beatriu de Pinós Programme of Generalitat de Catalunya. Work at Argonne National Laboratory is supported by UChicago Argonne LLC, Operator of Argonne National Laboratory (Argonne). Argonne, a U.S. Department of Energy Office of Science Laboratory, is operated under contract no. DE-AC02-06CH11357. This project has received funding from the European Union’s Horizon 2020 Framework Programme under the Marie Skłodowska-Curie Actions, through the following projects: Latin American Chinese European Galaxy (LACEGAL) Formation Network (no. 734374), the Enabling Weak Lensing Cosmology (EWC) Programme (no. 776247), and Barcelona Institute of Science and Technology (PROBIST) Post-doctoral Programme (no. 754510). PAUS is partially supported by the Ministry of Economy and Competitiveness (MINECO, grants CSD2007-00060, AYA2015-71825, ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597 and MDM-2015-0509). Funding for PAUS has also been provided by Durham University (ERC StG DEGAS-259586), ETH Zurich, and Leiden University (ERC StG ADULT-279396).Royal Astronomical SocietyMinistry of Education (Malaysia)University College LondonNational Science Centre (Poland)Ministerio de Ciencia, Innovación y Universidades (España)German Research FoundationNetherlands Organization for Scientific ResearchGeneralitat de CatalunyaEuropean CommissionMinisterio de Economía y Competitividad (España)Durham UniversityLeiden UniversityConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2022202220212022info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/262393reponame:DIGITAL.CSIC. 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