The Dark Energy Survey Year 3 high-redshift sample: Selection, characterization, and analysis of galaxy clustering
DES Collaboration: et al. The fiducial cosmological analyses of imaging surveys like DES typically probe the Universe at redshifts z < 1. We present the selection and characterization of high-redshift galaxy samples using DES Year 3 data, and the analysis of their galaxy clustering measurements....
Published in: | Journal of Climate |
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Main Authors: | , , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Oxford University Press
2023
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Online Access: | http://hdl.handle.net/10261/349027 https://doi.org/10.1093/mnras/stad2402 https://doi.org/10.13039/501100002809 https://doi.org/10.13039/501100004837 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/100000001 https://doi.org/10.13039/100000015 https://doi.org/10.13039/501100011033 https://doi.org/10.13039/501100003593 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100000781 |
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Galaxies: high-redshift Cosmological parameters Large-scale structure of the universe |
spellingShingle |
Galaxies: high-redshift Cosmological parameters Large-scale structure of the universe Sánchez, Carles Alarcon, Alex Crocce, Martín Cross, Dane Fosalba, Pablo Castander, Francisco J. García-Bellido, Juan DES Collaboration The Dark Energy Survey Year 3 high-redshift sample: Selection, characterization, and analysis of galaxy clustering |
topic_facet |
Galaxies: high-redshift Cosmological parameters Large-scale structure of the universe |
description |
DES Collaboration: et al. The fiducial cosmological analyses of imaging surveys like DES typically probe the Universe at redshifts z < 1. We present the selection and characterization of high-redshift galaxy samples using DES Year 3 data, and the analysis of their galaxy clustering measurements. In particular, we use galaxies that are fainter than those used in the previous DES Year 3 analyses and a Bayesian redshift scheme to define three tomographic bins with mean redshifts around z ∼ 0.9, 1.2, and 1.5, which extend the redshift coverage of the fiducial DES Year 3 analysis. These samples contain a total of about 9 million galaxies, and their galaxy density is more than 2 times higher than those in the DES Year 3 fiducial case. We characterize the redshift uncertainties of the samples, including the usage of various spectroscopic and high-quality redshift samples, and we develop a machine-learning method to correct for correlations between galaxy density and survey observing conditions. The analysis of galaxy clustering measurements, with a total signal to noise S/N ∼ 70 after scale cuts, yields robust cosmological constraints on a combination of the fraction of matter in the Universe Ωm and the Hubble parameter h, , mh = 0.195+0.023 −0.018, and 2–3 per cent measurements of the amplitude of the galaxy clustering signals, probing galaxy bias and the amplitude of matter fluctuations, bσ8. A companion paper (in preparation) will present the cross-correlations of these high-z samples with cosmic microwave background lensing from Planck and South Pole Telescope, and the cosmological analysis of those measurements in combination with the galaxy clustering presented in this work. CS acknowledges financial support from Ramón y Cajal project RYC2021-031194-I, funded by MCIN/AEI/ 10.13039/501100011033 and by the ‘European Union NextGenerationEU/PRTR’, and by a Junior Leader fellowship from the ‘la Caixa’ Foundation (ID 100010434), with code LCF/BQ/PI22/11910018. CS and GMB are supported by grants AST-2009210 from ... |
author2 |
Ministerio de Ciencia, Innovación y Universidades (España) Ministerio de Ciencia e Innovación (España) Ministerio de Economía y Competitividad (España) Generalitat de Catalunya European Commission Agencia Estatal de Investigación (España) European Research Council Fundación la Caixa Department of Energy (US) National Science Foundation (US) Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil) |
format |
Article in Journal/Newspaper |
author |
Sánchez, Carles Alarcon, Alex Crocce, Martín Cross, Dane Fosalba, Pablo Castander, Francisco J. García-Bellido, Juan DES Collaboration |
author_facet |
Sánchez, Carles Alarcon, Alex Crocce, Martín Cross, Dane Fosalba, Pablo Castander, Francisco J. García-Bellido, Juan DES Collaboration |
author_sort |
Sánchez, Carles |
title |
The Dark Energy Survey Year 3 high-redshift sample: Selection, characterization, and analysis of galaxy clustering |
title_short |
The Dark Energy Survey Year 3 high-redshift sample: Selection, characterization, and analysis of galaxy clustering |
title_full |
The Dark Energy Survey Year 3 high-redshift sample: Selection, characterization, and analysis of galaxy clustering |
title_fullStr |
The Dark Energy Survey Year 3 high-redshift sample: Selection, characterization, and analysis of galaxy clustering |
title_full_unstemmed |
The Dark Energy Survey Year 3 high-redshift sample: Selection, characterization, and analysis of galaxy clustering |
title_sort |
dark energy survey year 3 high-redshift sample: selection, characterization, and analysis of galaxy clustering |
publisher |
Oxford University Press |
publishDate |
2023 |
url |
http://hdl.handle.net/10261/349027 https://doi.org/10.1093/mnras/stad2402 https://doi.org/10.13039/501100002809 https://doi.org/10.13039/501100004837 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/100000001 https://doi.org/10.13039/100000015 https://doi.org/10.13039/501100011033 https://doi.org/10.13039/501100003593 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100000781 |
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ENVELOPE(158.317,158.317,-80.867,-80.867) |
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Hubble South Pole |
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Hubble South Pole |
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South pole |
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South pole |
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https://doi.org/10.1093/mnras/stad240210.13039/50110000280910.13039/50110000483710.13039/50110000332910.13039/10000000110.13039/10000001510.13039/50110001103310.13039/50110000359310.13039/50110000078010.13039/501100000781 |
container_title |
Journal of Climate |
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37 |
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11 |
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ftcsic:oai:digital.csic.es:10261/349027 2024-06-23T07:56:52+00:00 The Dark Energy Survey Year 3 high-redshift sample: Selection, characterization, and analysis of galaxy clustering Sánchez, Carles Alarcon, Alex Crocce, Martín Cross, Dane Fosalba, Pablo Castander, Francisco J. García-Bellido, Juan DES Collaboration Ministerio de Ciencia, Innovación y Universidades (España) Ministerio de Ciencia e Innovación (España) Ministerio de Economía y Competitividad (España) Generalitat de Catalunya European Commission Agencia Estatal de Investigación (España) European Research Council Fundación la Caixa Department of Energy (US) National Science Foundation (US) Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil) 2023 application/pdf http://hdl.handle.net/10261/349027 https://doi.org/10.1093/mnras/stad2402 https://doi.org/10.13039/501100002809 https://doi.org/10.13039/501100004837 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/100000001 https://doi.org/10.13039/100000015 https://doi.org/10.13039/501100011033 https://doi.org/10.13039/501100003593 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100000781 en eng Oxford University Press #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI//RYC2021-031194-I info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2017-89838-C3-1-R/ES/CARTOGRAFIADOS COSMOLOGICOS PARA EL ESTUDIO DE LA ENERGIA OSCURA, PREPARACION PARA EUCLID/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2017-89838-C3-2-R/ES/CARTOGRAFIADOS COSMOLOGICOS PARA EL ESTUDIO DE LA ENERGIA OSCURA, PREPARACION PARA EUCLID/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2017-89838-C3-3-R/ES/CENTRO DE DATOS DE CARTOGRAFIADOS EXTRAGALACTICOS DE ENERGIA OSCURA - EUCLID/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094773-B-C31/ES/FISICA FUNDAMENTAL Y COSMOLOGIA CON CARTOGRAFIADOS EXTRAGALACTICOS/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094773-B-C32/ES/FISICA FUNDAMENTAL Y COSMOLOGIA CON CARTOGRAFIADOS EXTRAGALACTICOS/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094773-B-C33/ES/FISICA FUNDAMENTAL Y COSMOLOGIA CON CARTOGRAFIADOS EXTRAGALACTICOS/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-102021-B-I00/ES/COSMOLOGIA CON MAPAS DE GALAXIAS/ info:eu-repo/grantAgreement/MINECO//SEV-2016-0588 info:eu-repo/grantAgreement/MINECO//SEV-2016-0597 info:eu-repo/grantAgreement/MINECO//MDM-2015-0509/ES/CIEMAT - Física de Partículas/ info:eu-repo/grantAgreement/EC/FP7/240672 info:eu-repo/grantAgreement/EC/FP7/291329 info:eu-repo/grantAgreement/EC/FP7/306478 Publisher's version The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1093/mnras/stad2402 https://doi.org/10.1093/mnras/stad2402 Sí Monthly Notices of the Royal Astronomical Society 525(3): 3896-3922 (2023) http://hdl.handle.net/10261/349027 doi:10.1093/mnras/stad2402 1365-2966 http://dx.doi.org/10.13039/501100002809 http://dx.doi.org/10.13039/501100004837 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/100000001 http://dx.doi.org/10.13039/100000015 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100003593 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100000781 open Galaxies: high-redshift Cosmological parameters Large-scale structure of the universe artículo http://purl.org/coar/resource_type/c_6501 2023 ftcsic https://doi.org/10.1093/mnras/stad240210.13039/50110000280910.13039/50110000483710.13039/50110000332910.13039/10000000110.13039/10000001510.13039/50110001103310.13039/50110000359310.13039/50110000078010.13039/501100000781 2024-05-29T00:06:20Z DES Collaboration: et al. The fiducial cosmological analyses of imaging surveys like DES typically probe the Universe at redshifts z < 1. We present the selection and characterization of high-redshift galaxy samples using DES Year 3 data, and the analysis of their galaxy clustering measurements. In particular, we use galaxies that are fainter than those used in the previous DES Year 3 analyses and a Bayesian redshift scheme to define three tomographic bins with mean redshifts around z ∼ 0.9, 1.2, and 1.5, which extend the redshift coverage of the fiducial DES Year 3 analysis. These samples contain a total of about 9 million galaxies, and their galaxy density is more than 2 times higher than those in the DES Year 3 fiducial case. We characterize the redshift uncertainties of the samples, including the usage of various spectroscopic and high-quality redshift samples, and we develop a machine-learning method to correct for correlations between galaxy density and survey observing conditions. The analysis of galaxy clustering measurements, with a total signal to noise S/N ∼ 70 after scale cuts, yields robust cosmological constraints on a combination of the fraction of matter in the Universe Ωm and the Hubble parameter h, , mh = 0.195+0.023 −0.018, and 2–3 per cent measurements of the amplitude of the galaxy clustering signals, probing galaxy bias and the amplitude of matter fluctuations, bσ8. A companion paper (in preparation) will present the cross-correlations of these high-z samples with cosmic microwave background lensing from Planck and South Pole Telescope, and the cosmological analysis of those measurements in combination with the galaxy clustering presented in this work. CS acknowledges financial support from Ramón y Cajal project RYC2021-031194-I, funded by MCIN/AEI/ 10.13039/501100011033 and by the ‘European Union NextGenerationEU/PRTR’, and by a Junior Leader fellowship from the ‘la Caixa’ Foundation (ID 100010434), with code LCF/BQ/PI22/11910018. CS and GMB are supported by grants AST-2009210 from ... Article in Journal/Newspaper South pole Digital.CSIC (Spanish National Research Council) Hubble ENVELOPE(158.317,158.317,-80.867,-80.867) South Pole Journal of Climate 37 11 3117 3132 |