Comparison on PMT Waveform Reconstructions with JUNO Prototype

TL;DR

This paper compares three algorithms for reconstructing PMT waveforms in the JUNO prototype, evaluating their performance and suitability for different waveform characteristics to improve detector understanding.

Contribution

It provides a comparative analysis of charge integration, waveform fitting, and deconvolution algorithms for PMT waveform reconstruction in JUNO prototype.

Findings

Deconvolution handles larger overshoot better.

All three methods have similar uncertainty and bias.

Charge integration is suitable for fast preliminary reconstruction.

Abstract

JUNO is proposed to determine the neutrino mass hierarchy and rich in many other neutrino topics. A prototype is designed and set up for better understanding sub-systems of future detector. The preliminary results show that its threshold reaches ~0.3MeV with trigger rate ~290 Hz on the ground with cosmic muon rate ~35 Hz. Aiming for a better detector understanding from PMT signal, three reconstruction algorithms are compared for PMT waveforms with different overshoot ratios, including charge integration, waveform fitting, and deconvolution. It is concluded that the three methods have similar performance on uncertainty and systematic bias while deconvolution algorithm is best to handle larger overshoot and the simplest charge integration could be considered with controlled overshoot for future fast preliminary reconstruction.