Study of the Production of Exotic Hadrons with the ALICE Experiment from the LHC-CERN

• Grant number: 23/01970-5
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: June 01, 2023
• Status: Discontinued
• Field of knowledge: Physical Sciences and Mathematics - Physics - Elementary Particle Physics and Fields
• Principal Investigator: Marcelo Gameiro Munhoz
• Grantee: Leopoldo Abranches de Carvalho
• Host Institution: Instituto de Física (IF). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 20/04867-2 - High energy physics and instrumentation with the LHC-CERN, AP.ESP
• Associated scholarship(s): 24/14652-4 - Exotic Hadrons Production in the ALICE-LHC Experiment, BE.EP.DR

Abstract

This project aims to analyse the production of exotic hadrons using the data from the ALICE experiment that will be collected during the third period of data taking at the Large Hadron Collider (LHC), called Run 3. In the conditions of the Run 3, the data collection will be performed at a rate of 50 kHz for lead-lead (Pb-Pb) collisions, an unprecedented condition for the experiment. The replacement of the Inner Tracking System (ITS) of the ALICE detector (A Large Ion Collider Experiment) represents a technological milestone, which enables both the increase of the efficiency to perform measurements at low transverse momentum, as well as the increase of the resolution to determine the primary collision vertex. The new ALICE 2 detector is composed of 7 layers (3 layers in the Inner Barrel and 4 layers in the Outer Barrel), and the distance to the collision point is only 22 mm, allowing the reconstruction of the vertex and the trajectories in an extremely precise way. This doctoral project proposes to combine the Run 3 data collection with the study of phenomenological models regarding the structures of exotic particles and interactions with the Quark Gluon Plasma (QGP). The analysis will be carried out in the new framework of the ALICE experiment, called Online-Offline Computing System. The new framework allows to work with a large volume of data, stored in Structures of Arrays (SoA), which will provide enough statistics for analysis involving rare exotic particles.