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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Bennieston, Andrew J.
Languages: English
Types: Doctoral thesis
Subjects: QC

Classified by OpenAIRE into

arxiv: Physics::Instrumentation and Detectors, High Energy Physics::Experiment
The use of Liquid Argon Time-Projection Chambers in neutrino physics is looking\ud increasingly certain as the field moves to larger, finer-grained detectors capable of\ud delivering the physics reach required for the next generation of experiments studying\ud neutrino oscillations and CP violation in the lepton sector.\ud This thesis explores reconstruction procedures for use in a Liquid Argon\ud Time-Projection Chamber (LAr TPC). Fully automated reconstruction of neutrino\ud events in these environments has not been successfully demonstrated previously,\ud although several collaborations across the world are working towards this goal. A\ud number of algorithms and techniques are discussed, and their applicability to the\ud field of reconstruction in fine-grained detector environments is assessed.\ud The techniques presented here are fully automated and characterised to the\ud maximum extent possible, and may be combined to produce a software reconstruction\ud chain that is free from human intervention. In addition to these algorithms, a\ud framework for running chained reconstruction tasks is presented and demonstrated\ud to work in conjunction with the algorithms developed.\ud Muon identification is also presented, using cuts justified from the truth\ud information available from simulations. The algorithms and cuts together are used to\ud analyse simulated neutrino events throughout the thesis, focusing on charged current\ud muon neutrino interactions at energies of 0:77 GeV and 4:5 GeV, and considering\ud interactions producing u + p (referred to as CCQE) or u + p + n+ (referred to as\ud CC1n) final states.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 3.1 Schematic diagram of the operation of a time-projection chamber . .
    • 3.2 Simulation of light intensity recorded by a sparse array of photodetectors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
    • 3.3 Iterative point light source position reconstruction . . . . . . . . . .
    • 3.4 Uncertainty on position resolution for several sparse array detector densities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
    • 3.5 Detector radius required for full containment as a function of energy 3.6 Ratio of energy deposited to kinetic energy, by particle species . . .
    • 3.7 Charged current neutrino interactions producing a + p final state 7.1 Track length distribution for , p and e from 770 MeV neutrinos (CCQE) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 7.2 Track length distribution for , p and + from 770 MeV neutrinos (CC1 ) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 7.3 Track length distributions for , p and + from 4:5 GeV neutrinos (CCQE) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96 7.4 Track length distribution for , p and + from 4:5 GeV neutrinos (CC1 ) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 7.5 Angular distribution of , p at 770 MeV . . . . . . . . . . . . . . . . 100 7.6 Angular distribution of , p and + at 770 MeV . . . . . . . . . . . . 102
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