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Science-driven 3D data compression

Abstract:

Photometric redshift surveys map the distribution of matter in the Universe through the positions and shapes of galaxies with poorly resolved measurements of their radial coordinates. While a tomographic analysis can be used to recover some of the large-scale radial modes present in the data, this approach suffers from a number of practical shortcomings, and the criteria to decide on a particular binning scheme are commonly blind to the ultimate science goals. We present a method designed to ...

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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/stx2644

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Physics; Astrophysics
Science and Technology Facilities Council More from this funder
Leverhulme Trust More from this funder
Beecroft Trust More from this funder
Publisher:
Oxford University Press Publisher's website
Journal:
Monthly Notices of the Royal Astronomical Society Journal website
Volume:
473
Issue:
4
Pages:
4306–4317
Publication date:
2017-10-10
Acceptance date:
2017-10-06
DOI:
EISSN:
1365-2966
ISSN:
0035-8711
Pubs id:
pubs:820092
URN:
uri:c905a787-6633-474e-b7eb-73dfbf600f66
UUID:
uuid:c905a787-6633-474e-b7eb-73dfbf600f66
Local pid:
pubs:820092
Paper number:
4

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