Thesis

Analysis of multiple Coulomb scattering of muons in liquid hydrogen

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Awarding institution
  • University of Strathclyde
Date of award
  • 2023
Thesis identifier
  • T16746
Person Identifier (Local)
  • 201861731
Qualification Level
Qualification Name
Department, School or Faculty
Abstract
  • A comparison is made between experimental measurements of muons passing through the MICE (Muon Ionization Cooling Experiment) liquid-H2 absorber, with a Geant4 (v9.6) Monte Carlo (MC) simulation. The aim was to assess if the accuracy of the multiple Coulomb scattering (MCS) simulation algorithm is consistent with data across two configurations; one with the vessel filled with liquid-H2, and one with the empty vessel. MCS is one of two parallel processes in ionization cooling (IC), a novel beam cooling technique that can achieve significant emittance reduction within the short muon life-time. The analysis is motivated from previous experimental measurements indicating poor predictive performance of MCS of muons through liquid-H2 using various models. In future muon accelerator facilities, ionization cooling channels will use the ionizing collisions during passage through a low-Z absorber to damp beam momentum while re-supplying longitudinal acceleration. MICE concluded data-taking in 2017 and has since demonstrated the performance of IC while has also gathered straight-track data specifically for measurements of MCS. In this thesis, data taken with three beam settings are analysed that delivered beam momenta in the range 143–250 MeV/c at the two absorber configurations. The resulting p-values, expressing the probability of identity between the simulated and measured plane-projected scattering angle distributions are found to be in the range 0.44–0.98, without meaningful differences between the two absorber configurations, indicating that Geant4 (v9.6) accurately predicts MCS of muons through liquid-H2 in the analysed momentum range.
Advisor / supervisor
  • Soler, Paul
  • Ronald, Kevin
Resource Type
DOI
Date Created
  • 2022

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