Deep learning based LArTPC event reconstruction and nonmagnetic muon sign determination in the ICARUS detector

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Abstract/Contents

Abstract
The Liquid Argon Time Projection Chamber (LArTPC) is a state-of-the-art particle imaging detector technology pioneered at the kiloton scale by the ICARUS detector, now at Fermilab. It will be widely used in accelerator-based oscillation experiments for precision measurements of neutrino oscillation parameters. This thesis demonstrates a novel end-to-end, deep-learning-based data reconstruction chain for LArTPC. This approach can scale up to large existing and upcoming LArTPC neutrino detectors such as ICARUS and DUNE with sparse convolution techniques. We apply it to an electron neutrino selection on ICARUS simulation, which shows promise for a future low-energy excess search. This work further presents two methods for nonmagnetic muon sign determination in ICARUS: comparing the muon decay electron energy spectrum with bound muon decay-in-orbit numerical predictions, and fitting the muon decay time distribution. ICARUS cosmic ray data analysis yields a muon to antimuon ratio of 0.69 +/- 0.12 in agreement with previous measurements. Such methods for statistical separation between muon and antimuon, when applied to a muon neutrino/antineutrino beam, are expected to improve the sensitivity of ICARUS and forthcoming LArTPC experiments to CP-violation, neutrino mass ordering, and neutrino oscillation measurements.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2023; ©2023
Publication date 2023; 2023
Issuance monographic
Language English

Creators/Contributors

Author Domine, Laura Mai Hien
Degree supervisor Tanaka, Hirohisa
Thesis advisor Tanaka, Hirohisa
Thesis advisor Terao, Kazuhiro
Thesis advisor Tompkins, Lauren Alexandra
Degree committee member Terao, Kazuhiro
Degree committee member Tompkins, Lauren Alexandra
Associated with Stanford University, School of Humanities and Sciences
Associated with Stanford University, Department of Physics

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Laura Domine.
Note Submitted to the Department of Physics.
Thesis Thesis Ph.D. Stanford University 2023.
Location https://purl.stanford.edu/cc580th4200

Access conditions

Copyright
© 2023 by Laura Mai Hien Domine
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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