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Accelerating NOvA's Feldman-Cousins procedure using high performance computing platforms

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dc.contributor.authorDoyle, Derek, author
dc.contributor.authorBuchanan, Norm, advisor
dc.contributor.authorHarton, John, committee member
dc.contributor.authorPouchet, Loius-Noël, committee member
dc.date.accessioned2019-06-14T17:06:31Z
dc.date.available2019-06-14T17:06:31Z
dc.date.issued2019
dc.description.abstractIn 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.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierDoyle_colostate_0053N_15398.pdf
dc.identifier.urihttps://hdl.handle.net/10217/195356
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright 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.
dc.subjectHPC
dc.subjectNOvA
dc.subjectFeldman-Cousins
dc.subjectsmall signal
dc.subjectneutrino oscillations
dc.titleAccelerating NOvA's Feldman-Cousins procedure using high performance computing platforms
dc.typeText
dcterms.rights.dplaThis 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).
thesis.degree.disciplinePhysics
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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