Measurement of Long Baseline Neutrino Oscillations and Improvements from Deep Learning
Citations Over Time
Abstract
NOvA is a long-baseline neutrino oscillation experiment which measures the oscillation of muon neutrinos from the NuMI beam at Fermilab after they travel through the Earth for 810 km. In this dissertation I describe the operations and monitoring of the detectors which make it possible to record over 98% of the delivered neutrino beam. I also present reconstruction and identification techniques using deep convolutional neural networks (CNNs), which are applicable to multiple analyses. Lastly, I detail the oscillation analyses in the $\nu_{\mu} \to \nu_{\mu}$ and $\nu_{\mu} \to\nu_e$ channels on a dataset of 8:85 x $10^{20}$ protons on target, with emphasis on the application of deep learning, energy reconstruction, and treatment of systematic uncertainties....