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Searches for dark sector particles with the ATLAS detector

Marley, Ian LU (2019) FYSK02 20182
Particle Physics
Department of Physics
Abstract
This thesis focuses on the techniques involved in analysing the substructure of products resulting from the decay of new particles. These particles are postulated to exist in models used to describe undetectable matter whose influence can be observed within the cosmos. The models are termed 'Dark Sector models' and they attempt to describe Dark Matter; theorised to exist and account for about 85 per cent of the mass-energy content in the universe. The analysis is done in an attempt to better understand how these models look like in the ATLAS detector, by simulating them and analyzing their behaviour in the detector. Understanding the necessary theory and tools for the analysis of simulations was a prerequisite for this thesis, and it is... (More)
This thesis focuses on the techniques involved in analysing the substructure of products resulting from the decay of new particles. These particles are postulated to exist in models used to describe undetectable matter whose influence can be observed within the cosmos. The models are termed 'Dark Sector models' and they attempt to describe Dark Matter; theorised to exist and account for about 85 per cent of the mass-energy content in the universe. The analysis is done in an attempt to better understand how these models look like in the ATLAS detector, by simulating them and analyzing their behaviour in the detector. Understanding the necessary theory and tools for the analysis of simulations was a prerequisite for this thesis, and it is outlined in this work. The data analysis is done using data formats containing decay product variables, using code written by a student at Ohio State University. The results of the data analysis, as well as the application of a thought experiment, allow us to compare the two aforementioned models, with one model having more Dark Sector particles that do not leave a trace in the detector and thus being 'darker' than the other. (Less)
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author
Marley, Ian LU
supervisor
organization
course
FYSK02 20182
year
type
M2 - Bachelor Degree
subject
keywords
Dark Matter, ATLAS, jet, Jets, dijets, dark sector, ntuples
language
English
id
8969826
date added to LUP
2019-02-12 13:07:35
date last changed
2019-02-12 13:07:35
@misc{8969826,
  abstract     = {This thesis focuses on the techniques involved in analysing the substructure of products resulting from the decay of new particles. These particles are postulated to exist in models used to describe undetectable matter whose influence can be observed within the cosmos. The models are termed 'Dark Sector models' and they attempt to describe Dark Matter; theorised to exist and account for about 85 per cent of the mass-energy content in the universe. The analysis is done in an attempt to better understand how these models look like in the ATLAS detector, by simulating them and analyzing their behaviour in the detector. Understanding the necessary theory and tools for the analysis of simulations was a prerequisite for this thesis, and it is outlined in this work. The data analysis is done using data formats containing decay product variables, using code written by a student at Ohio State University. The results of the data analysis, as well as the application of a thought experiment, allow us to compare the two aforementioned models, with one model having more Dark Sector particles that do not leave a trace in the detector and thus being 'darker' than the other.},
  author       = {Marley, Ian},
  keyword      = {Dark Matter,ATLAS,jet,Jets,dijets,dark sector,ntuples},
  language     = {eng},
  note         = {Student Paper},
  title        = {Searches for dark sector particles with the ATLAS detector},
  year         = {2019},
}