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Accueil > Thèses, Stages, Formation et Enseignement > Propositions de thèses 2020 > First LSST dataset: toward the next generation of cosmological constrains

First LSST dataset: toward the next generation of cosmological constrains

Title: First LSST dataset: toward the next generation of cosmological
constrains

Supervisor: Pierre Antilogus

Team: Cosmology and dark energy; group: LSST

Description:

The LPNHE cosmology group is involved in key projects to study the Dark Energy. The group plays/has played a central role in the usage of the Supernova Ia (SNIa) probes, still providing today the dominant constraints on Dark Energy property, but its activity has evolved to integrate the two future key probes, BAO and weak lensing, and to re-activate the peculiar velocity probe which will open an unique new window with the LSST data. The usage of these probes sensitive to the structure formation will also allow to point out possible deviation to the General Relativity at large scale. This evolution toward a multi-probes approach is mandatory to provide the best constrains with the future projects (LSST, Euclid, DESI).

The LPNHE group is involved since 10 years in the construction of the LSST telescope. The LSST project enters now in its commissioning phase, the last step prior to the start of the scientific program. During the commissioning the system is checked and optimized with precursor datasets. The first LSST science data will be collected in 2022 during the thesis.

In this context the proposed thesis work covers two aspects:

  • The LSST focal plane is the largest existing focal plane ( 40 times the
    apparent surface of the moon) to date. The requested precision for the LSST science implies a precise understanding of the instrumental signature of its sensors. These effects are one of the keys of the LSST success, and the LPNHE group has a strong expertise on this type of effects. Using commissioning data the PhD student will further prepare the removal of the sensor instrumental signature and will also qualify the corresponding corrections on the first science data.

Contact: Pierre Antilogus, 33 (0)1 44 27 41 54

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