General information
Organisation
The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.
Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.
The CEA is established in ten centers spread throughout France
Reference
SL-DRF-24-0346
Direction
DRF
Thesis topic details
Category
Corpuscular physics and outer space
Thesis topics
X-ray cosmology from deep learning
Contract
Thèse
Job description
Clusters of galaxies are the most massive entities in the universe.
Applying artificial intelligence to the cosmological analysis of X-ray cluster surveys allows us to tackle this problem from a totally new perspective. Only directly observable parametres are used (redshift, X-ray colour and flux) in a deep learning approach based on hydrodynamical simulations; this allows us to establish an implicit link between the X-ray parameters and the underlying dark matter distribution. From this, we can infer the cosmological parameters, without explicitly computing cluster masses and bypassing the empirical formalism of scaling relations between the X-ray properties and cluster masses.
The goal of the thesis is to apply this method (developed at DAP) to the XMM-XXL survey, which is, 24 years after the XMM launch, the only programme having assembled a cosmological cluster sample with controlled selection effects (~ 400 objects). The expected results will constitute a first in the history of observational cosmology.
University / doctoral school
Astronomie et Astrophysique d’Île de France (ED A&A)
Paris-Saclay
Thesis topic location
Site
Saclay
Requester
Position start date
01/10/2024
Person to be contacted by the applicant
PIERRE Marguerite marguerite.pierre@cea.fr
CEA
DRF/IRFU/SAp/LCEG
CEA/Saclay
0169083492
Tutor / Responsible thesis director
PIERRE Marguerite marguerite.pierre@cea.fr
CEA
DRF/IRFU/SAp/LCEG
CEA/Saclay
0169083492
En savoir plus
https://irfu.cea.fr/dap/Phocea/Vie_des_labos/Ast/ast_groupe.php?id_groupe=972