First Results of $\nu_e$ Appearance Analysis and Electron Neutrino Identification at NOvA
Abstract
NOvA is a long-baseline accelerator-based neutrino oscillation experiment that is optimized for measurements. It uses the upgraded NuMI beam from Fermilab and measures electron-neutrino appearance and muon-neutrino disappearance at its Far Detector in Ash River, Minnesota. The appearance analysis at NOvA aims to resolve the neutrino mass hierarchy problem and to constrain the CP-violating phase. The first data set of protons on target (POT) equivalent exposure taken by NOvA has been analyzed. The first measurement of electron-neutrino appearance in NOvA provides solid evidence of oscillation with the NuMI beam line. Electron-neutrino identification is the key ingredient for the appearance analysis. The electron-identification algorithm used to produce the primary results presented here compares 3-D shower-energy profiles with Monte Carlo prototypes to construct likelihoods for each particle hypothesis. Particle likelihoods, among other event-topology variables, are used as inputs to an Artificial Neural Network for the final electron-neutrino identification. The design and implementation of this algorithm is also presented.
Keywords
Cite
@article{arxiv.1510.05708,
title = {First Results of $\nu_e$ Appearance Analysis and Electron Neutrino Identification at NOvA},
author = {Jianming Bian},
journal= {arXiv preprint arXiv:1510.05708},
year = {2015}
}
Comments
Presentation at the DPF 2015 Meeting of the American Physical Society Division of Particles and Fields, Ann Arbor, Michigan, August 4-8, 2015