Journal article
A fast and reliable method for the comparison of covariance matrices
- Abstract:
-
Covariance matrices are important tools for obtaining reliable parameter constraints. Advancements in cosmological surveys lead to larger data vectors and, consequently, increasingly complex covariance matrices, whose number of elements grows as the square of the size of the data vector. The most straightforward way of comparing these matrices, in terms of their ability to produce parameter constraints, involves a full cosmological analysis, which can be very computationally expensive. Using ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- Monthly Notices of the Royal Astronomical Society Journal website
- Volume:
- 513
- Issue:
- 4
- Pages:
- 5438-5445
- Publication date:
- 2022-05-07
- Acceptance date:
- 2022-05-03
- DOI:
- EISSN:
-
1365-2966
- ISSN:
-
0035-8711
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1323924
- Local pid:
- pubs:1323924
- Deposit date:
- 2023-01-18
Terms of use
- Copyright holder:
- Ferreira and Marra
- Copyright date:
- 2022
- Rights statement:
- © 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
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