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Accueil > Thèses, Stages, Formation et Enseignement > Propositions de thèses 2023 > First LSST dataset : toward the next generation of cosmological constrains.
First LSST dataset : toward the next generation of cosmological constrains.
par Tristan Beau - 9 novembre 2022
Titre : First LSST dataset : toward the next generation of cosmological constrains.
Directrice/directeur de thèse : Pierre Antilogus
Groupe d’accueil :Groupe de Cosmologie du LPNHE
Webpage du projet : http://www.lsst.org/lsst
Collaboration : LSST
Description :
The telescope of the V.Rubin Observatory is a wide field 8m class telescope that will see its 1rst light mid-2023 in Chile. It will play an unique role in observational cosmology through its Legacy Space and Time Survey (LSST), which corresponds to a continuous deep full sky survey running for 10 years, starting late 2024.
The LPNHE cosmology group is involved in key projects to study the Dark Energy . The group plays a central role in the usage of the Supernova Ia (SNIa) in cosmology. For LSST it is also involved on the weak lensing cosmological probe and for DESI in the BAO probe. The evolution toward a multi-probes approach is the rule with the current new generation of cosmological projects (LSST, Euclid, DESI) to provide the best cosmological constrains.
The group is working since 2007 on the preparation of LSST trough key contributions to its camera, namely its focal plane and lter exchange.
The thesis will benefit of the V.Rubin Observatory first light and camera commissioning combined with the first LSST data. The proposed thesis work will cover two aspects :
- It will have a strong focus on the camera and survey commissioning. The LSST focal plane is the largest existing focal plane (201 CCD for a total number of pixels of 3,2·10^9 and a eld of view of 9.6 deg² 40 times the apparent surface of the moon). The requested precision for the LSST science implies a precise understanding of the instrumental signature removal of its sensors. This will be a key for the LSST success, in particular for CCD effects impacting the shape and ux measurements, both quantities being at the core of the cosmological probes measurements . Using commissioning data the PhD student will work on these effects with the support of the LPNHE group which has a strong expertise on sensor. A direct contribution in Chile to the commissioning may imply 2-3 months stay on site during the PhD.
- Using his/her knowledge obtained during the commissioning phase, the PhD student will contribute to the rst cosmological analyses within the LPNHE group. The focus will be on the systematics to the cosmological probes (SNIa vs ux biases , weak lensing vs shape biases), induced by the CCD instrumental signature removal applied.
Lieu(x) de travail : LPNHE
Déplacements éventuels : Chili et USA
Stage proposé avant la thèse : Oui
Dans la même rubrique :
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- Analyses en amplitudes des désintégrations
- Mesure de la masse du quark top avec des événements ttbar avec des mésons J/ψ et D dans l’état final. Études et réalisation du détecteur de temps hautement granulaire (HGTD) dans l’expérience ATLAS auprès du LHC. Measurement of the top quark mass using ttbar events with J/ψ and D mesons in the final state. Study and realization of a High Granularity Timing Detector (HGTD) for the ATLAS detector for the High Luminosity phase of the LHC.
- Variability from active galactic nuclei with the future Cherenkov Telescope Array and validation tests with the NectarCAM camera
- Joint supernovae and galaxy clustering analysis with ZTF and the DESI BGS
- Development of the new silicon pixel tracker for the upgrade of the ATLAS detector at the High Luminosity LHC (HL-LHC), study of the performance of the new design, and application to the research of new physics and precision Higgs measurements at HL-LHC
- Towards precise measurement of neutrino oscillations parameters in T2K-II with new input from the upgraded Near Detector ND280
- Development of reconstruction algorithms for the Hyper-Kamiokande experiment – a unique observatory for rare events in the Universe
- Incertitudes pour les tâches de régression avec des réseaux de neurones sur graphe. Application à la détection de particules cosmiques.
- Prospectives pour une détection interférométrique de particules cosmiques dans le projet GRAND
- Quantifying ML uncertainties in searches for new physics at the LHC
