# e-{\mu} Discrimination at High Energy in the JUNO Detector

## TL;DR

This paper presents a novel time profile-based discrimination algorithm for neutrino interaction channels in the JUNO detector, enhancing the identification of electron neutrino events at GeV energies.

## Contribution

The work introduces a new discrimination method leveraging event time profiles to distinguish neutrino interaction channels in JUNO's liquid scintillator.

## Key findings

- Good discrimination power for electron neutrino charged-current events.
- Significant contamination of muon neutrino events by neutral current interactions at low energy.
- Preliminary results demonstrate the algorithm's potential for atmospheric neutrino studies.

## Abstract

Cosmic Ray and neutrino oscillation physics can be studied by using atmospheric neutrinos. JUNO (Jiangmen Underground Neutrino Observatory) is a large liquid scintillator detector with low energy detection threshold and excellent energy resolution. The detector performances allow the atmospheric neutrino oscillation measurements. In this work, a discrimination algorithm for different reaction channels of neutrino-nucleon interactions in the JUNO liquid scintillator, in the GeV/sub-GeV energy region, is presented. The atmospheric neutrino flux is taken as reference, considering $\overset{(-)}{\nu_\mu}$ and $\overset{(-)}{\nu_e}$. The different temporal behaviour of the classes of events have been exploited to build a time profile-based discrimination algorithm. The results show a good selection power for $\overset{(-)}{\nu_e}$ CC events, while the $\overset{(-)}{\nu_\mu}$ CC component suffers of an important contamination from NC events at low energy, which is under study. Preliminary results are presented.