- 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
- 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
Actions
Authors
Funding
Science and Technology Facilities Council
More from this funder
Leverhulme Trust
More from this funder
Beecroft Trust
More from this funder
Bibliographic Details
Item Description
Terms of use
Metrics
Altmetrics
Dimensions
If you are the owner of this record, you can report an update to it here: Report update to this record