- 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 ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 1.6mb)
-
- Publisher copy:
- 10.1093/mnras/stx2644
-
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- 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
- Copyright holder:
- D Alonso
- Copyright date:
- 2017
- Notes:
- © 2017 The Author Published by Oxford University Press on behalf of the Royal Astronomical Society.
Journal article
Science-driven 3D data compression
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