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oai:mountainscholar.org:10217/1953562025-12-30T03:41:26Zcom_10217_100532com_10217_100000com_10217_100499com_10217_100303col_10217_100538col_10217_100500

Doyle, Derek, author Buchanan, Norm, advisor Harton, John, committee member Pouchet, Louis-Noël, committee member 2019-06-14T17:06:31Z 2019-06-14T17:06:31Z 2019 Doyle_colostate_0053N_15398.pdf https://hdl.handle.net/10217/195356 https://doi.org/10.25675/3.018986 In order to assess the compatibility between models containing physically constrained parameters and small-signal data, uncertainties often must be calculated by Monte Carlo simulation to account for non-normally distributed errors. This is the case for neutrino oscillation experiments, where neutrino-matter weak interactions are rare and beam intensity at the far site is low. The NuMI Off-axis νe Appearance (NOvA) collaboration attempts to measure the parameters governing neutrino oscillations within the PMNS oscillation model by comparing model predictions to a small data set of neutrino interactions. To account for non-normality, NOvA uses the computationally intensive Feldman-Cousins (FC) procedure, which involves fitting thousands of independent pseudoexperiments to generate empirical distribution functions that are used to calculate the significance of observations. I, along with collaborators on NOvA and Scientific Discovery through Advanced Computing: High Energy Physics Data Analytics (SciDAC-4) collaborations, have implemented the FC procedure utilizing the High Performance Computing (HPC) facilities at the National Energy Research Scientific Computing Center (NERSC). With this implementation, we have successfully processed NOvA's complete FC corrections for our recent neutrino + antineutrino appearance analysis in 36 hours: a speedup factor of 50 as compared to the methods used in previous analyses. born digital masters theses English eng Colorado State University. Libraries 2000-2019 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. HPC NOvA Feldman-Cousins small signal neutrino oscillations Accelerating NOvA's Feldman-Cousins procedure using high performance computing platforms Text Master of Science (M.S.) Masters Physics Colorado State University This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). open.access