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arXiv · 2411.07620

Investigation and optimization of the deconvolution method for PMT waveform reconstruction

Jingzhe Tang·Tianying Xiao·Xuan Tang·Yongbo Huang
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Abstract

Photomultiplier tubes (PMTs) are extensively employed as photosensors in neutrino and dark matter detection. The precise charge and timing information extracted from the PMT waveform plays a crucial role in energy and vertex reconstruction. In this study, we investigate the deconvolution algorithm utilized for PMT waveform reconstruction, while enhancing the timing separation ability for pile-up hits by redesigning filters based on the time-frequency uncertainty principle. This filter design sacrifices signal-to-noise ratio (SNR) to achieve narrower pulse widths. Furthermore, we optimize the selection of signal pulses in the case of low SNR based on Short-Time Fourier Transform (STFT). Monte Carlo data confirms that our optimization yields enhanced reconstruction performance: improving timing separation ability for pile-up hits from $7\sim10$~ns to $3\sim5$~ns, while controlling the residual nonlinearity of charge reconstruction to about 1\% in the range of 0 to 20 photoelectrons.

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Jingzhe Tang, Tianying Xiao, Xuan Tang, Yongbo Huang. 2024-11-12. Investigation and optimization of the deconvolution method for PMT waveform reconstruction. https://arxiv.org/abs/2411.07620

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