Dissemin is shutting down on January 1st, 2025

Published in

Oxford University Press (OUP), Monthly Notices of the Royal Astronomical Society, 3(505), p. 4249-4277, 2021

DOI: 10.1093/mnras/stab1515

Links

Tools

Export citation

Search in Google Scholar

Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies

Journal article published in 2021 by J. Myles ORCID, A. Alarcon ORCID, A. Amon, C. Sánchez ORCID, S. Everett, J. DeRose, J. McCullough, D. Gruen ORCID, G. M. Bernstein ORCID, M. A. Troxel, S. Dodelson, A. Campos, N. MacCrann ORCID, B. Yin, M. Raveri and other authors.
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

ABSTRACT Determining the distribution of redshifts of galaxies observed by wide-field photometric experiments like the Dark Energy Survey (DES) is an essential component to mapping the matter density field with gravitational lensing. In this work we describe the methods used to assign individual weak lensing source galaxies from the DES Year 3 Weak Lensing Source Catalogue to four tomographic bins and to estimate the redshift distributions in these bins. As the first application of these methods to data, we validate that the assumptions made apply to the DES Y3 weak lensing source galaxies and develop a full treatment of systematic uncertainties. Our method consists of combining information from three independent likelihood functions: self-organizing map p(z) (sompz), a method for constraining redshifts from galaxy photometry; clustering redshifts (WZ), constraints on redshifts from cross-correlations of galaxy density functions; and shear ratios (SRs), which provide constraints on redshifts from the ratios of the galaxy-shear correlation functions at small scales. Finally, we describe how these independent probes are combined to yield an ensemble of redshift distributions encapsulating our full uncertainty. We calibrate redshifts with combined effective uncertainties of σ〈z〉 ∼ 0.01 on the mean redshift in each tomographic bin.