The MicroBooNE Search For Anomalous Electron Neutrino Appearance Using Image Based Data Reconstruction

Genty, Victor

doi:10.2172/1515053

The MicroBooNE Search For Anomalous Electron Neutrino Appearance Using Image Based Data Reconstruction

Victor Genty
(
- Columbia U.
)

Apr, 2019

248 pages

Supervisor:

Michael Shaevitz

Thesis: PhD

Columbia U.

(defense: Apr, 2019)

Published: 2019

DOI:

Report number:

FERMILAB-THESIS-2019-06

Experiments:

Fermilab-FNAL-Booster-E-0974

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Abstract:

This thesis presents the MicroBooNE search for the MiniBooNE low energy excess using a fully automated image based data reconstruction scheme. A suite of traditional and deep learning computer vision algorithms are developed for identication of charge current quasi-elastic (CCQE) like muon and electron neutrino interactions using the MicroBooNE detector. Given a model of the MiniBooNE low energy excess as due to an enhancement of electron neutrino type events, this analysis predicts a combined statistical and systematic 3.8 low energy signal in 13:2 1020 POT of MicroBooNE data. When interpreted in the context of ! e 3 + 1 sterile neutrino oscillations a best t point of (m2 41; sin2 2e) = (0:063; 0:794) is found with a 90% condence allowed region consistent with > 0:1 eV2 oscillations.

physics of elementary particles and fields
Particles (Nuclear physics)
Data recovery (Computer science)
Neutrinos
Physics
energy: low
neutrino: oscillation
neutrino: interaction
neutrino: sterile
anomaly: effect

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