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Glauber Monte-Carlo Simulation and Model Comparison in High-Energy Collisions

De Sousa Castanheira Miranda, Sebastião LU (2023) FYTK03 20231
Department of Physics
Theoretical Particle Physics - Undergoing reorganization
Abstract
In this thesis, a Glauber Monte-Carlo event generator is developed and used to analyze proton-Ion (p -$^{63}$Cu and p -$^{197}$Au) and Ion-Ion ($^{63}$Cu -$^{63}$Cu and $^{197}$Au -$^{197}$Au) collisions. Three different sub-collision models are implemented, the black disk, grey disk and oscillating grey disk models, and their validity is compared. The predicted nucleon-nucleon cross-sections by the different models are fitted to the experimental data and used as input for the Glauber simulation of the distribution of the number of participants in such collisions. This can be used to extract information about observables that show a high correlation with centrality.
Popular Abstract
Even before science acquired its name, many minds were already concerned about what makes up the things that we see. In the search for these building blocks of nature, people had to come up with ways to have a closer look into the world. Magnifying glasses allowed us to see new details of our surroundings, optical microscopes enabled us to look into cells and big bacteria, moreover, the advent of particle accelerators allowed us to look at a completely new level of reality, bringing us closer to the indivisible.

By colliding particles at very high energies, particle accelerators allow us to study the extremely small particles that make up everything we see and the different forces that govern them. However, while looking through a... (More)
Even before science acquired its name, many minds were already concerned about what makes up the things that we see. In the search for these building blocks of nature, people had to come up with ways to have a closer look into the world. Magnifying glasses allowed us to see new details of our surroundings, optical microscopes enabled us to look into cells and big bacteria, moreover, the advent of particle accelerators allowed us to look at a completely new level of reality, bringing us closer to the indivisible.

By colliding particles at very high energies, particle accelerators allow us to study the extremely small particles that make up everything we see and the different forces that govern them. However, while looking through a magnifying glass is rather straightforward, and a trained eye is enough to make clear observations with a microscope, the results that come out of these collisions are much harder to analyse and validate or refute our theories.

Predicting the outcomes of these collisions is not a task that can be solved analytically most of the time. Instead, we can generate artificial collisions that work accordingly to theory and use these simulations to compare and interpret the experimental data extracted in large-scale accelerator experiments such as the Large Hadron Collider at CERN.

The aim of this thesis work is to create a simple event generator from scratch and use it to predict experimental observables according to different models that approximate theory in different levels of detail. These different models are then analyzed and compared in their capability of replicating already available data and their validity is discussed. (Less)
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author
De Sousa Castanheira Miranda, Sebastião LU
supervisor
organization
course
FYTK03 20231
year
type
M2 - Bachelor Degree
subject
language
English
id
9129817
date added to LUP
2023-07-03 09:32:51
date last changed
2023-08-30 14:58:23
@misc{9129817,
  abstract     = {{In this thesis, a Glauber Monte-Carlo event generator is developed and used to analyze proton-Ion (p -$^{63}$Cu and p -$^{197}$Au) and Ion-Ion ($^{63}$Cu -$^{63}$Cu and $^{197}$Au -$^{197}$Au) collisions. Three different sub-collision models are implemented, the black disk, grey disk and oscillating grey disk models, and their validity is compared. The predicted nucleon-nucleon cross-sections by the different models are fitted to the experimental data and used as input for the Glauber simulation of the distribution of the number of participants in such collisions. This can be used to extract information about observables that show a high correlation with centrality.}},
  author       = {{De Sousa Castanheira Miranda, Sebastião}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Glauber Monte-Carlo Simulation and Model Comparison in High-Energy Collisions}},
  year         = {{2023}},
}