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  1. KEEP
  2. Theses and Dissertations
  3. Barrett, The Honors College Thesis/Creative Project Collection
  4. Improving the Energy Reconstruction for Low Energy Supernova Neutrinos
  5. Full metadata

Improving the Energy Reconstruction for Low Energy Supernova Neutrinos

Full metadata

Description

The current observable universe is made of matter due to baryon/antibaryon asymmetry. The Deep Underground Neutrino Experiment is an international experiment through the Fermi National Accelerator Laboratory that will study neutrinos. In this study, the detection efficiency for low energy supernova neutrinos was examined in order to improve energy reconstruction for neutrino energies less than 40 MeV. To do this, supernova neutrino events were simulated using the LarSoft simulation package with and without background. The ratios between the true data and reconstructed data were compared to identify the deficiencies of the detector, which were found to be low energies and high drift times. The ratio between the true and reconstructed data was improved by applying the physical limits of the detector. The efficiency of the improved ratio of the clean data was found to be 93.2% and the efficiency of the improved ratio with the data with background was 82.6%. The study suggests that a second photon detector at the far wall of the detector would help improve the resolutions at high drift times and low neutrino energies.

Date Created
2020-05
Contributors
  • Procter-Murphy, Rachel Grace (Co-author)
  • Procter-Murphy, Rachel (Co-author)
  • Ritchie, Barry (Thesis director)
  • LoSecco, John (Committee member)
  • School of Earth and Space Exploration (Contributor)
  • Department of Physics (Contributor)
  • School of Mathematical and Statistical Sciences (Contributor)
  • Barrett, The Honors College (Contributor)
Topical Subject
  • Physics
  • Particle Physics
  • Neutrinos
  • DUNE
  • Deep Underground Neutrino Detector
Resource Type
Text
Extent
37 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Barrett, The Honors College Thesis/Creative Project Collection
Series
Academic Year 2019-2020
Handle
https://hdl.handle.net/2286/R.I.56449
Level of coding
minimal
Cataloging Standards
asu1
System Created
  • 2020-04-18 12:03:16
System Modified
  • 2021-08-11 04:09:57
  •     
  • 1 year 5 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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