Characterization of Deconvolution-Based PMT Waveform Reconstruction Under Large Charge Dynamic Range and Varying Scintillation Time Profiles

TL;DR

This paper evaluates a deconvolution algorithm for PMT waveform reconstruction, demonstrating its stability and accuracy across large charge ranges and varying scintillation profiles, crucial for neutrino and dark matter detection.

Contribution

It provides a comprehensive analysis of the deconvolution algorithm's reliability under diverse conditions, including large signals and different scintillation time profiles.

Findings

Charge residual non-linearity within 1% for 0-200 photoelectrons.

Stable performance across various scintillation time profiles.

Effective handling of muon-induced large signals.

Abstract

Photomultiplier tubes (PMTs) are widely used as photon sensors for neutrino and dark matter detection. Accurate charge and time information extracted from PMT waveforms is crucial for event reconstruction. An algorithm based on deconvolution technology was proposed and applied to the reconstruction of PMT waveforms. This study further investigated the reliability of the deconvolution algorithm when handling a large charge dynamic range (0-200 photoelectrons), varying scintillation time profiles, and muon-induced large signals. Monte Carlo data confirmed that the deconvolution algorithm exhibits relatively stable reconstruction performance: the residual non-linearity of charge reconstruction is controlled to approximately 1\% over the range of 0 to 200 photoelectrons for various configurations of undershoots and scintillation time profiles, and the algorithm is capable of handling muon-induced large signals.