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Journal article

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

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 and White. The derived source redshift distribution is degenerate with the source galaxy bias, which must be constrained ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/mnras/stw3033

Authors


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Australian Research Council More from this funder
Natural Sciences and Engineering Research Council of Canada More from this funder
German Research Foundation More from this funder
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Publisher:
Oxford University Press Publisher's website
Journal:
Monthly Notices of the Royal Astronomical Society Journal website
Volume:
465
Issue:
4
Pages:
4118-4132
Publication date:
2016-11-01
Acceptance date:
2016-11-21
DOI:
EISSN:
1365-2966
ISSN:
0035-8711
Source identifiers:
693240
Keywords:
Pubs id:
pubs:693240
UUID:
uuid:c48a6972-ae04-4877-8a7f-75642cf954ac
Local pid:
pubs:693240
Deposit date:
2018-03-23

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