Quasielastic Distributions For Transverse Kinematic Variables
2019-06
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
Quasielastic Distributions For Transverse Kinematic Variables
Authors
Published Date
2019-06
Publisher
Type
Thesis or Dissertation
Abstract
The MINERvA experiment, located at the Fermi National Accelerator Laboratory (Illinois), is a detector designed to study neutrino-nuclear interactions. MINERvA has been instrumental in understanding how neutrinos interact with nuclei and its research has been used to better analyze data from oscillation experiments like MicroBooNE, DUNE (Deep Underground Neutrino Experiment) and NOvA (NuMi Off Axis v Appearance) and prepare for the future experiment DUNE. Though MINERvA has ended data collection this year, more analysis on the models of nuclear interaction happening in the nucleus is required. GENIE, a neutrino event generator, is one used to model such interactions. Upon reviewing special features in transverse kinematic distributions, the task, a flaw in a part of the model affecting nearly all interactions was found and fixed. In this study, a new GENIE simulation of a class of quasielastic neutrino events will be presented, along with results for the new transverse kinematic imbalance distributions. An approximate fix is proposed for already generated samples of simulated events.
Keywords
Description
University of Minnesota M.S. thesis. June 2019. Major: Physics. Advisor: RICHARD GRAN. 1 computer file (PDF); xiv, 102 pages.
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Harewood, Lauren Alexandria. (2019). Quasielastic Distributions For Transverse Kinematic Variables. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/206178.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.