2dFLenS and KiDS: determining source redshift distributions with cross-correlations

Johnson, Andrew, Blake, Chris, Amon, Alexandra, Erben, Thomas, Glazebrook, Karl, Harnois-Deraps, Joachim, Heymans, Catherine, Hildebrandt, Hendrik, Joudaki, Shahab, Klaes, Dominik, Kuijken, Konrad, Lidman, Chris, Marin, Felipe A., McFarland, John, Morrison, Christopher B., Parkinson, David, Poole, Gregory B., Radovich, Mario and Wolf, Christian (2017) 2dFLenS and KiDS: determining source redshift distributions with cross-correlations. Monthly Notices of the Royal Astronomical Society, 465 4: 4118-4132. doi:10.1093/mnras/stw3033

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Author Johnson, Andrew
Blake, Chris
Amon, Alexandra
Erben, Thomas
Glazebrook, Karl
Harnois-Deraps, Joachim
Heymans, Catherine
Hildebrandt, Hendrik
Joudaki, Shahab
Klaes, Dominik
Kuijken, Konrad
Lidman, Chris
Marin, Felipe A.
McFarland, John
Morrison, Christopher B.
Parkinson, David
Poole, Gregory B.
Radovich, Mario
Wolf, Christian
Title 2dFLenS and KiDS: determining source redshift distributions with cross-correlations
Journal name Monthly Notices of the Royal Astronomical Society   Check publisher's open access policy
ISSN 1365-2966
0035-8711
Publication date 2017-03-01
Year available 2016
Sub-type Article (original research)
DOI 10.1093/mnras/stw3033
Open Access Status File (Publisher version)
Volume 465
Issue 4
Start page 4118
End page 4132
Total pages 15
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Collection year 2018
Language eng
Formatted abstract
We develop a statistical estimator to infer the redshift probability distribution of a photometric sample of galaxies from its angular cross-correlation in redshift bins with an overlapping spectroscopic sample. This estimator is a minimum-variance weighted quadratic function of the data: a quadratic estimator. This extends and modifies the methodology presented by McQuinn & White. The derived source redshift distribution is degenerate with the source galaxy bias, which must be constrained via additional assumptions. We apply this estimator to constrain source galaxy redshift distributions in theKilo-Degree imaging survey through crosscorrelation with the spectroscopic 2-degree Field Lensing Survey, presenting results first as a binned step-wise distribution in the range z < 0.8, and then building a continuous distribution using a Gaussian process model. We demonstrate the robustness of our methodology using mock catalogues constructed from N-body simulations, and comparisons with other techniques for inferring the redshift distribution.
Keyword Cosmology: observation
Large-scale structure of Universe
Surveys
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
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