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-24-0306
Direction
DRF
Thesis topic details
Category
Theoretical physics
Thesis topics
MACHINE LEARNING FOR INVERSE PROBLEMS IN HADRON STRUCTURE
Contract
Thèse
Job description
Characterizing the multidimensional structure of hadrons in terms of quarks and gluons is one of the major objectives of hadronic physics today. This is not only the central theme of many experimental facilities worldwide, but also one of the main reasons for the construction of future colliders in the USA and China. It is also one of the key areas of research for intensive numerical simulations of the strong interaction. However, in both cases, the connection between measured and simulated data on the one hand, and the multidimensional structure of hadrons on the other, is not direct. The data are linked to the hadron structure via mathematically ill-posed multidimensional inverse problems. It has been shown that these inverse problems lead to a significant increase in uncertainties, to the point of becoming the dominant source of uncertainty in some cases. The aim of this thesis is to use machine learning tools to assess, reduce and correctly propagate uncertainties from experimental or simulation data to the multidimensional structure of hadrons. The strategy for achieving this is to develop an original neural network architecture capable of taking into account the full range of theoretical properties arising from quantum chromodynamics, and then to adapt it to inverse problems linking experimental and simulation data to the 3D structure of hadrons.
University / doctoral school
PHENIICS (PHENIICS)
Paris-Saclay
Thesis topic location
Site
Saclay
Requester
Position start date
01/10/2024
Person to be contacted by the applicant
Bertone Valerio valerio.bertone@cea.fr
CEA
DRF/IRFU/DPhN/LSN
CEA Saclay - IRFU/DPhN
Bat. 703
91191 Gif-sur-Yvette
Tutor / Responsible thesis director
Moutarde Hervé herve.moutarde@cea.fr
CEA
DRF/IRFU/DPhN
IRFU, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
33 1 69 08 32 06
En savoir plus
https://irfu.cea.fr/Phocea/Vie_des_labos/Ast/ast_groupe.php?id_groupe=4189