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Modelling of Astrophysical Systematics for Cosmology with LSST

Nikolina Šarčević · CERN

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About

LSST will provide an unprecedented wealth of astronomical data, with which we will be able to tightly constrain the values of the cosmological parameters, notably those which describe the poorly understood dark energy component. As weak lensing and galaxy clustering measurements provide a way to infer key cosmological quantities such as the dark matter distribution, the evolution of cosmic structure, and the expansion history of the Universe, detailed and rigorous analysis is necessary in order to glean as much information as possible from LSST measurements of these effects. This project developed a consistent and reliable framework (FISK) where three key systematic effects impacting weak lensing and galaxy clustering (intrinsic alignment of galaxies, galaxy bias and photometric redshift uncertainties) are modeled jointly. The results directly enable rigorous weak lensing and galaxy clustering constraints on cosmological parameters with LSST..

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The talk

  1. Modelling of Astrophysical Systematics for Cosmology with LSST 2023-06-01 · 6 min · CERN's player

Credits and licence

Institution
CERN
Department
Eucapt Conferences
Speaker
Nikolina Šarčević
Year
2023
Language
English
Subjects
Astronomy and space
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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