Muon shower vertex reconstruction with waveform information in JUNO

TL;DR

This paper presents a method for reconstructing muon shower vertices in the JUNO detector using waveform analysis, aiming to improve background rejection for neutrino detection.

Contribution

It introduces a waveform-based approach for muon shower vertex reconstruction, enhancing background discrimination in neutrino experiments.

Findings

Waveform multi-peaks are linked to muon-induced showers.

Preliminary simulation results show promising vertex reconstruction accuracy.

Method helps reduce cosmogenic background in neutrino measurements.

Abstract

The Jiangmen Underground Neutrino Observatory (JUNO) is a 20 kton liquid scintillator detector currently being built in a dedicated underground laboratory in China. It is a multi-purpose underground experiment with a physics program including neutrino mass hierarchy determination, precision measurement of neutrino oscillation parameters, measurement of solar, atmospheric, geo-neutrinos and other important neutrino physics searches. Electron anti-neutrinos are detected via the inverse beta decay by measuring the correlated positron and neutron signals. In this detection channel cosmic ray muon induced radioactive isotopes are the main background, especially those connected to cosmogenic backgrounds ($^{9}$Li/$^{8}$He and fast neutrons). They are predominantly produced by showing muons which account for about 10\% of all muons. Considering that the $^{9}$Li/$^{8}$He background is correlated with the parent muon in time and space, the vertex reconstruction of showers along the muon track is helpful to reject the backgrounds of $^{9}$Li/$^{8}$He and other isotopes. Based on the waveform simulation analysis, we know that the multi-peaks in waveform output by PMTs are mainly caused by these showers. Waveform analysis of muon events and preliminary results of shower vertex reconstruction based on detector simulation have been studied.