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University of Illinois at Urbana-Champaign

Search for Neutrinoless Double Beta Decay with EXO-200 and the Application of Deep Learning to Detector Simulation

Abstract

dc:description

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Physics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Li, Shaolei
Contributors dc:contributor
  • Yang, Liang
  • Perdekamp, Matthias Grosse
  • Draper, Patrick I
  • MacDougall, Gregory

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Copyright 2022 Shaolei Li
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/115319
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/115319

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Li, Shaolei. Search for Neutrinoless Double Beta Decay with EXO-200 and the Application of Deep Learning to Detector Simulation. Dissertation thesis, University of Illinois at Urbana-Champaign, 2022. https://hdl.handle.net/2142/115319