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Field-level inference of weak lensing map statistics in the Ultraviolet Near Infrared Optical Northern Survey (UNIONS)

Spécialité

Astrophysique

Niveau d'étude

Bac+5

Formation

Master 2

Unité d'accueil

Candidature avant le

23/04/2025

Durée

5 mois

Poursuite possible en thèse

oui

Contact

Kilbinger Martin
+33 1 69 08 17 53

Résumé/Summary
The goal of the internship is to set up a pipeline to perform full-field inference of UNIONS. Carrying out a simulation-based analysis of UNIONS weak lensing data is of interest to compare with other surveys, such as DES or KiDS, and to prepare the data processing of the European space mission Euclid.
Sujet détaillé/Full description
Voir page du sujet https://www.cosmostat.org/jobs/sbi_wl
See internship page https://www.cosmostat.org/jobs/sbi_wl
Mots clés/Keywords
cosmology, machine learning
Compétences/Skills
deep learning, neural density estimation, statistical inference
Logiciels
python

 

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