Dark Energy Survey Year 3 results: Calibration of lens sample redshift distributions using clustering redshifts with BOSS/eBOSS
Entity
UAM. Departamento de Física TeóricaPublisher
Royal Astronomical SocietyDate
2022-05-27Citation
10.1093/mnras/stac1160
Monthly Notices of the Royal Astronomical Society 513.4 (2022): 5517-5539
ISSN
0035-8711 (print); 1365-2966 (online)DOI
10.1093/mnras/stac1160Project
Gobierno de España. AYA2015-71825-P; Gobierno de España. ESP2015-66861-C3-1-R; Gobierno de España. FPA2015-68048-C3-3-P; Gobierno de España. SEV-2016-0588; Gobierno de España. SEV2016-0597; 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/stac1160Subjects
Cosmology: Observations; Galaxies: Distances and Redshifts; Large-Scale Structure of Universe; Surveys; FísicaNote
Artículo 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 hubiereThis 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 513.4 (2022): 5517-5539 is available online at: https://academic.oup.com/mnras/article-abstract/513/4/5517/6594026?redirectedFrom=fulltext
Rights
© 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical SocietyAbstract
We present clustering redshift measurements for Dark Energy Survey (DES) lens sample galaxies used in weak gravitational lensing and galaxy clustering studies. To perform these measurements, we cross-correlate with spectroscopic galaxies from the Baryon Acoustic Oscillation Survey (BOSS) and its extension, eBOSS. We validate our methodology in simulations, including a new technique to calibrate systematic errors that result from the galaxy clustering bias, and we find that our method is generally unbiased in calibrating the mean redshift. We apply our method to the data, and estimate the redshift distribution for 11 different photometrically selected bins. We find general agreement between clustering redshift and photometric redshift estimates, with differences on the inferred mean redshift found to be below |Δz| = 0.01 in most of the bins. We also test a method to calibrate a width parameter for redshift distributions, which we found necessary to use for some of our samples. Our typical uncertainties on the mean redshift ranged from 0.003 to 0.008, while our uncertainties on the width ranged from 4 to 9 per cent. We discuss how these results calibrate the photometric redshift distributions used in companion papers for DES Year 3 results
Files in this item
Google Scholar:Cawthon, R.
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Ávila Pérez, Santiago Javier
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García-Bellido Capdevila, Juan
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DES Collaboration
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