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Colorado State University. Libraries

An analysis of noise in the NOvA near detector

Abstract

dc:description.abstract

The NOvA (NuMI Off-axis νe Appearance) long-baseline neutrino experiment utilizes neutrino oscillations to gain insight into the unanswered questions in neutrino physics and further our knowledge of particle physics. The answers can only be arrived at through precise and accurate measurements of neutrino properties. To obtain these high precision results using the NOvA experiment background signals and noise must be understood and characterized. The work described is a study of noise characteristics from the electronics and photosensors used in the near detector of the NOvA experiment. A number of methods for the identification and elimination of noise in the electronics are discussed.

Degree

thesis:*
Name thesis:degree_name
Master of Science (M.S.)
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Physics
Grantor dc:publisher
Colorado State University. Libraries
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Authors dc:creator
  • Judah, Matthew, author
  • Buchanan, Norm, advisor
  • Ross, Kate, committee member
  • Pallickara, Sangmi, committee member

Rights

dc:rights
Statement dc:rights
  • Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
Language dc:language.iso
eng, English

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:mountainscholar.org:10217/173533

Chain of custody

source
Harvested from
Colorado State University
Base URL
api.mountainscholar.org/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Judah, Matthew, author; Buchanan, Norm, advisor; Ross, Kate, committee member; Pallickara, Sangmi, committee member. An analysis of noise in the NOvA near detector. Masters thesis, Colorado State University. Libraries, 2016. http://hdl.handle.net/10217/173533