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GPz: Non-stationary sparse Gaussian processes for heteroscedastic uncertainty estimation in photometric redshifts

Abstract:

The next generation of cosmology experiments will be required to use photometric redshifts rather than spectroscopic redshifts. Obtaining accurate and well-characterized photometric redshift distributions is therefore critical for Euclid, the Large Synoptic Survey Telescope and the Square Kilometre Array. However, determining accurate variance predictions alongside single point estimates is crucial, as they can be used to optimize the sample of galaxies for the specific experiment (e.g. weak ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.1093/mnras/stw1618

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Physics, Astrophysics
Role:
Author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
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Funding agency for:
Jarvis, MJ
Publisher:
Oxford University Press Publisher's website
Journal:
Monthly Notices of the Royal Astronomical Society Journal website
Volume:
462
Issue:
1
Pages:
726-739
Publication date:
2016-06-05
DOI:
EISSN:
1365-2966
ISSN:
0035-8711
URN:
uuid:afdf9b0b-83cd-4180-a84f-63fbfeba925f
Source identifiers:
625008
Local pid:
pubs:625008

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