Particle Identification at MeV Energies in JUNO

Abstract

JUNO is a multi-purpose neutrino experiment currently under construction in Jiangmen, China. It is primary aiming to determine the neutrino mass ordering. Moreover, its 20\,kt target mass makes it an ideal detector to study neutrinos from various sources, including nuclear reactors, the Earth and its atmosphere, the Sun, and even supernovae. Due to the small cross section of neutrino interactions, the event rate of neutrino experiments is limited. In order to maximize the signal-to-noise ratio, it is extremely important to control the background levels. In this paper we discuss the potential of particle identification in JUNO, its underlying principles and possible areas of application in the experiment. While the presented concepts can be transferred to any large liquid scintillator detector, our methods are evaluated specifically for JUNO and the results are mainly driven by its high optical photon yield of 1,200 photo electrons per MeV of deposited energy. In order to investigate the potential of event discrimination, several event pairings are analysed, i.e. $\alpha /\beta$, $p/\beta$, $e^{+}/e^{-}$, and $e^{-}/\gamma$. We compare the discrimination performance of advanced analytical techniques based on neural networks and on the topological event reconstruction keeping the standard Gatti filter as a reference. We use the Monte Carlo samples generated in the physically motivated energy intervals. We study the dependence of our cuts on energy, radial position, PMT time resolution, and dark noise. The results show an excellent performance for $\alpha /\beta$ and $p/\beta$ with the Gatti method and the neural network. Furthermore, $e^{+}/e^{-}$ and $e^{-}/\gamma$ can partly be distinguished by means of neural network and topological reconstruction on a statistical basis. Especially in the latter case, the topological method proved very successful.

References in corpus (26)

• Neutrino Physics with JUNO
• Search for Majorana Neutrinos near the Inverted Mass Hierarchy Region with KamLAND-Zen
• Solar neutrino measurements in Super-Kamiokande-II
• Solar Neutrino Measurements in Super-Kamiokande-IV
• Final results of Borexino Phase-I on low energy solar neutrino spectroscopy
• Measurement of electron antineutrino oscillation based on 1230 days of operation of the Daya Bay experiment
• Production of Radioactive Isotopes through Cosmic Muon Spallation in KamLAND
• Theia: An advanced optical neutrino detector
• Study of double parton scattering using W + 2-jet events in proton-proton collisions at sqrt(s) = 7 TeV
• Letter of Intent: Jinping Neutrino Experiment
• Cosmogenic Backgrounds in Borexino at 3800 m water-equivalent depth
• High Scale Electroweak Phase Transition: Baryogenesis & Symmetry Non-Restoration
• Comprehensive geoneutrino analysis with Borexino
• Halo-independent methods for inelastic dark matter scattering
• Improved measurement of ${}^8$B solar neutrinos with 1.5 kt y of Borexino exposure
• Positronium signature in organic liquid scintillators for neutrino experiments
• Seasonal Modulation of the ${}^7$Be Solar Neutrino Rate in Borexino
• Detecting the Diffuse Supernova Neutrino Background with LENA
• Rayleigh scattering of linear alkylbenzene in large liquid scintillator detectors
• A vertex reconstruction algorithm in the central detector of JUNO
• Yields and production rates of cosmogenic ${}^9$Li and ${}^8$He measured with the Double Chooz near and far detectors
• Topological track reconstruction in unsegmented, large-volume liquid scintillator detectors
• Ortho-positronium observation in the Double Chooz Experiment
• Characterization of positronium properties in doped liquid scintillators
• Measurements of the Lifetime of Orthopositronium in the LAB-Based Liquid Scintillator of JUNO
• Novel event classification based on spectral analysis of scintillation waveforms in Double Chooz

Cited by in corpus (2)

• JUNO Physics and Detector
• Shining Light on Cosmogenic Axions with Neutrino Experiments