Dark Energy Survey Year 3 Results: clustering redshifts - calibration of the weak lensing source redshift distributions with redMaGiC and BOSS/eBOSS
Entity
UAM. Departamento de Física TeóricaPublisher
Royal Astronomical Society; Oxford University PressDate
2021-11-18Citation
10.1093/mnras/stab3311
Monthly Notices of the Royal Astronomical Society 510.1 (2022): 1223-1247
ISSN
0035-8711 (print); 1365-2966 (online)DOI
10.1093/mnras/stab3311Project
info:eu-repo/grantAgreement/EC/H2020/713673/EU//INPhINIT; Gobierno de España. AYA2015-71825; Gobierno de España. ESP2015-66861-C3-1-R; Gobierno de España. FPA2015-68048-C3-1-P; Gobierno España. SEV-2016-0588; Gobierno de España. SEV-2016-0597; info:eu-repo/grantAgreement/EC/FP7/240672/EU//COGS; info:eu-repo/grantAgreement/EC/FP7/291329/EU//TESTDE; info:eu-repo/grantAgreement/EC/FP7/306478/EU//COSMICDAWNEditor's Version
https://doi.org/10.1093/mnras/stab3311Subjects
Galaxies: Distances and Redshifts; Cosmology: Observations; FísicaNote
This is a pre-copyedited, author-produced PDF of an article accepted for publication in Monthly Notices of the Royal Astronomical Society following peer review. The version of record Monthly Notices of the Royal Astronomical Society 510.1 (2022): 1223-1247 is available online at: https://academic.oup.com/mnras/article-abstract/510/1/1223/6431641?redirectedFrom=fulltextArtículo escrito por un elevado número de autores, solo se referencian el que aparece en primer lugar, los autores pertenecientes a la UAM y el nombre del grupo de colaboración, si lo hubiere
Rights
© 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical SocietyAbstract
We present the calibration of the Dark Energy Survey Year 3 (DES Y3) weak lensing (WL) source galaxy redshift distributions n(z) from clustering measurements. In particular, we cross-correlate the WL source galaxies sample with redMaGiC galaxies (luminous red galaxies with secure photometric redshifts) and a spectroscopic sample from BOSS/eBOSS to estimate the redshift distribution of the DES sources sample. Two distinct methods for using the clustering statistics are described. The first uses the clustering information independently to estimate the mean redshift of the source galaxies within a redshift window, as done in the DES Y1 analysis. The second method establishes a likelihood of the clustering data as a function of n(z), which can be incorporated into schemes for generating samples of n(z) subject to combined clustering and photometric constraints. Both methods incorporate marginalization over various astrophysical systematics, including magnification and redshift-dependent galaxy-matter bias. We characterize the uncertainties of the methods in simulations; the first method recovers the mean z of tomographic bins to RMS (precision) of ∼0.014. Use of the second method is shown to vastly improve the accuracy of the shape of n(z) derived from photometric data. The two methods are then applied to the DES Y3 data
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Google Scholar:Gatti, M.
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Avila, S.
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García-Bellido Capdevila, Juan
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DES Collaboration
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