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Analytical marginalization over photometric redshift uncertainties in cosmic shear analyses

Abstract:

As the statistical power of imaging surveys grows, it is crucial to account for all systematic uncertainties. This is normally done by constructing a model of these uncertainties and then marginalizing over the additional model parameters. The resulting high dimensionality of the total parameter spaces makes inferring the cosmological parameters significantly more costly using traditional Monte Carlo sampling methods. A particularly relevant example is the redshift distribution, p(⁠z )...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/mnras/stad1192

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More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Astrophysics
Oxford college:
St Peter's College
Role:
Author
ORCID:
0000-0002-4598-9719
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Astrophysics
Oxford college:
Oriel College
Role:
Author
ORCID:
0000-0002-3021-2851
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Role:
Author
Publisher:
Oxford University Press
Journal:
Monthly Notices of the Royal Astronomical Society More from this journal
Volume:
522
Issue:
4
Pages:
5037–5048
Publication date:
2023-04-21
Acceptance date:
2023-04-18
DOI:
EISSN:
1365-2966
ISSN:
0035-8711
Language:
English
Keywords:
Subjects:
Pubs id:
1462393
Local pid:
pubs:1462393
Deposit date:
2023-07-31

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