MEASUREMENT OF PROMPT AND NON-PROMPT J/? PRODUCTION IN ION-ION COLLISIONS AT THE LHC: NUCLEAR MODIFICATI

Thesis topic details

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-27-0298  

Direction

DRF

Thesis topic details

Category

Corpuscular physics and outer space

Thesis topics

MEASUREMENT OF PROMPT AND NON-PROMPT J/? PRODUCTION IN ION-ION COLLISIONS AT THE LHC: NUCLEAR MODIFICATION FACTOR AND ELLIPTIC FLOW

Contract

Thèse

Job description

A few microseconds after the Big Bang, the Universe was filled with a quark-gluon plasma (QGP), a hot and dense state of matter described by Quantum Chromodynamics, the theory of the strong interaction. Collisions of heavy ions at the LHC recreate this state in the laboratory. Heavy quarks (charm and beauty) are produced at the very start of the collision and probe the QGP throughout its evolution. In this PhD you will measure the production of prompt and non-prompt J/? mesons, which are bound states of a charm quark and a charm antiquark. Prompt J/? are produced in the collision itself, while non-prompt J/? come from the decay of beauty hadrons. You will measure their nuclear modification factor and their elliptic flow. These tell us how the QGP suppresses and regenerates J/?, and whether heavy quarks thermalise in the medium. You will use the 2022-2026 data of the ALICE experiment, starting with O-O collisions and possibly extending to Pb-Pb. You will also improve the matching between tracks of the MFT silicon tracker and of the muon spectrometer using machine learning. You will gain expertise in data analysis, simulation, grid computing and machine learning within an international collaboration.

University / doctoral school

PHENIICS (PHENIICS)
Paris-Saclay

Thesis topic location

Site

Saclay

Requester

Position start date

01/10/2027

Person to be contacted by the applicant

CASTILLO Javier jcastill@cea.fr
CEA
DRF/IRFU/DPhN/LQGP
CEA/Saclay - Irfu/SPhN
Orme des Merisiers
Bât. 703/P. 44
91190 Gif-sur-Yvette
+33 169087255

Tutor / Responsible thesis director

Ferrero Andrea andrea.ferrero@cea.fr
CEA
DRF/IRFU/DPhN/LQGP
Irfu-DPhN Bâtiment 703
CEA-Saclay orme des Merisiers
F91191 gif-sur-Yvette cedex

En savoir plus


http://irfu.cea.fr/dphn/Phocea/Vie_des_labos/Ast/ast_groupe.php?id_groupe=500
https://alice-collaboration.web.cern.ch