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Two-particle pseudorapidity correlations in sqrt(s) = 13 TeV proton-proton collisions measured with ALICE

Diamantaki, Evangelia LU (2024) FYSM63 20232
Department of Physics
Particle and nuclear physics
Abstract
This thesis investigates two-particle pseudorapidity correlations in proton-proton collisions at sqrt(s)=13 TeV at the ALICE detector at the Large Hadron Collider. The primary focus is on the calculation of the correlation function in pseudorapidity across different multiplicity classes and charge combinations. Subsequently, efficiency corrections were applied and studied within Monte Carlo simulations to reconcile the discrepancies between observed experimental data and theoretical models. The results demonstrate the critical importance of adjusting for detector inefficiencies and provide a methodological framework for applying these corrections to enhance data accuracy.
Popular Abstract
When protons collide at extremely high energies, they produce showers of new particles that carry information about the fundamental forces of nature. In this thesis, data from proton–proton collisions at the Large Hadron Collider at CERN are analyzed using the ALICE detector. The study focuses on how pairs of particles are correlated in their directions of motion, specifically in a quantity known as pseudorapidity, which describes how particles are distributed along the beam direction.

By examining these correlations across different collision conditions and for different types of particle pairs, this work explores how particles are created and distributed in high-energy collisions. To ensure reliable results, detailed corrections are... (More)
When protons collide at extremely high energies, they produce showers of new particles that carry information about the fundamental forces of nature. In this thesis, data from proton–proton collisions at the Large Hadron Collider at CERN are analyzed using the ALICE detector. The study focuses on how pairs of particles are correlated in their directions of motion, specifically in a quantity known as pseudorapidity, which describes how particles are distributed along the beam direction.

By examining these correlations across different collision conditions and for different types of particle pairs, this work explores how particles are created and distributed in high-energy collisions. To ensure reliable results, detailed corrections are applied to account for limitations in the detector using computer simulations. The results show that detector effects strongly influence the measured correlations and must be carefully corrected for accurate physical interpretation. This work contributes to a better understanding of particle production in small collision systems and improves the methods used to analyze data from modern particle physics experiments. (Less)
Please use this url to cite or link to this publication:
author
Diamantaki, Evangelia LU
supervisor
organization
course
FYSM63 20232
year
type
H2 - Master's Degree (Two Years)
subject
language
English
id
9216017
date added to LUP
2025-12-11 08:35:06
date last changed
2025-12-11 08:35:06
@misc{9216017,
  abstract     = {{This thesis investigates two-particle pseudorapidity correlations in proton-proton collisions at sqrt(s)=13 TeV at the ALICE detector at the Large Hadron Collider. The primary focus is on the calculation of the correlation function in pseudorapidity across different multiplicity classes and charge combinations. Subsequently, efficiency corrections were applied and studied within Monte Carlo simulations to reconcile the discrepancies between observed experimental data and theoretical models. The results demonstrate the critical importance of adjusting for detector inefficiencies and provide a methodological framework for applying these corrections to enhance data accuracy.}},
  author       = {{Diamantaki, Evangelia}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Two-particle pseudorapidity correlations in sqrt(s) = 13 TeV proton-proton collisions measured with ALICE}},
  year         = {{2024}},
}