2 sujets /DAp/LCEG

Dernière mise à jour : 23-04-2021


 

Measuring the growth of massive structures in the distant Universe with deep spectroscopic surveys

SL-DRF-21-0166

Research field : Astrophysics
Location :

Direction d’Astrophysique (DAP)

Laboratoire de Cosmologie et d’Evolution des Galaxies (LCEG)

Saclay

Contact :

Emanuele DADDI

Starting date : 01-10-2021

Contact :

Emanuele DADDI
CEA - DRF/IRFU/DAP/LCEG


Thesis supervisor :

Emanuele DADDI
CEA - DRF/IRFU/DAP/LCEG


Cosmology - Clusters of galaxies - Artificial intelligence

SL-DRF-21-0332

Research field : Astrophysics
Location :

Direction d’Astrophysique (DAP)

Laboratoire de Cosmologie et d’Evolution des Galaxies (LCEG)

Saclay

Contact :

Marguerite PIERRE

Starting date : 01-10-2021

Contact :

Marguerite PIERRE
CEA - DRF/IRFU/SAp/LCEG

0169083492

Thesis supervisor :

Marguerite PIERRE
CEA - DRF/IRFU/SAp/LCEG

0169083492

Personal web page : https://sci.esa.int/s/WLg9apw

Laboratory link : http://irfu.cea.fr/dap/Phocea/Vie_des_labos/Ast/ast_groupe.php?id_groupe=972

More : Projet XXL : http://irfu.cea.fr/xxl

Clusters of galaxies are the most massive entities in the universe. As such, they constitute powerful cosmological probes.

The XLL survey is the largest programme of the European satellite XMM (X-ray band). It has enabled the detection of several hundreds of galaxy clusters.

The goal of the PhD is to perform the cosmological analysis of the complete XXL cluster sample by using innovative machine learning techniques.

 

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