Euclid preparation : XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography

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http://hdl.handle.net/10138/329661

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Euclid Collaboration , Ilbert , O , Gozaliasl , G , Keihänen , E , Kurki-Suonio , H , Väliviita , J & Kirkpatrick , C C 2021 , ' Euclid preparation : XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography ' , Astronomy & Astrophysics , vol. 647 , A117 . https://doi.org/10.1051/0004-6361/202040237

Titel: Euclid preparation : XI. Mean redshift determination from galaxy redshift probabilities for cosmic shear tomography
Författare: Euclid Collaboration; Ilbert, O.; Gozaliasl, G.; Keihänen, E.; Kurki-Suonio, H.; Väliviita, J.; Kirkpatrick , C. C.
Upphovmannens organisation: Department of Physics
Research Program in Systems Oncology
Helsinki Institute of Physics
Datum: 2021-03-18
Språk: eng
Sidantal: 21
Tillhör serie: Astronomy & Astrophysics
ISSN: 0004-6361
DOI: https://doi.org/10.1051/0004-6361/202040237
Permanenta länken (URI): http://hdl.handle.net/10138/329661
Abstrakt: The analysis of weak gravitational lensing in wide-field imaging surveys is considered to be a major cosmological probe of dark energy. Our capacity to constrain the dark energy equation of state relies on an accurate knowledge of the galaxy mean redshift z. We investigate the possibility of measuring z with an accuracy better than 0.002 (1+z) in ten tomographic bins spanning the redshift interval 0.2 99.8%. The zPDF approach can also be successful if the zPDF is de-biased using a spectroscopic training sample. This approach requires deep imaging data but is weakly sensitive to spectroscopic redshift failures in the training sample. We improve the de-biasing method and confirm our finding by applying it to real-world weak-lensing datasets (COSMOS and KiDS+VIKING-450).
Subject: dark energy
galaxies: distances and redshifts
methods: statistical
PHOTOMETRIC REDSHIFTS
DISTRIBUTIONS
PERFORMANCE
SIMULATION
RESOLUTION
EVOLUTION
UNIVERSE
STELLAR
IMPACT
115 Astronomy, Space science
Referentgranskad: Ja
Licens: unspecified
Användningsbegränsning: openAccess
Parallelpublicerad version: publishedVersion


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