Honors Program
Document Type
Thesis
Date of this Version
Spring 3-12-2021
Citation
Osborn, J. 2021. Identifying, Analyzing, and Using Discriminatory Variables for Classification of Neutrino Signal and Background Noise in Multivariate Analysis in the Askaryan Radio Array Experiment. Undergraduate Honors Thesis. University of Nebraska-Lincoln.
Abstract
The Askaryan Radio Array Experiment, located near the South Pole, works to pinpoint specific instances of neutrinos from outside the solar system interacting with nucleons inside the Antarctic ice, emitting radio waves. I have taken data from the ARA stations which is presumed to be background noise and compared it to simulated data meant to look like a neutrino signal. I developed a suite of variables for discrimination between the two data sets, using a computer algorithm to generate a single output variable which can be used to distinguish noise events from signal events. I maximized this discrimination process for simulated neutrino energies between 10^17 and 10^19 electron volts.
Included in
Astrophysics and Astronomy Commons, Gifted Education Commons, Higher Education Commons, Other Education Commons, Physics Commons
Comments
Copyright Jesse Osborn 2021.