Towards the ultimate PMT waveform analysis for neutrino and dark matter experiments

Xu, Dacheng; Xu, Benda; Bao, Erjin; Wu, Yiyang; Zhang, Aiqiang; Wang, Yuyi; Zhang, Geliang; Xu, Yunlin; Guo, Ziyi; Pei, Jihui; Mao, Hanyang; Liu, Jiashuo; Wang, Zhe; Chen, Shaomin

doi:10.1088/1748-0221/17/06/p06040

Cited by 6 publications

(4 citation statements)

References 44 publications

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“…There are a couple of studies on the charge de-convolution of PMT waveforms [29][30][31][32], for simplification we use the definition from the previous analysis, the charge (Q in pC) of each waveform here is integrated offline by summing all the samples in the target window with the baseline subtracted, where the loading impedance resistance (R) of 50 Ohm and the sampling rate are considered. According to the pulse shape, a target window of 75 ns is used: 20 ns in front of the pulse and 55 ns after the peak, and another 75 ns window is used to derive the baseline which is [−95, −20] ns before the primary pulse peak.…”

Section: Charge Parametersmentioning

confidence: 99%

Check on the features of potted 20-inch PMTs with 1F3 electronics prototype at Pan-Asia

Caimei

Wang

et al. 2023

J. Inst.

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The Jiangmen underground neutrino observatory (JUNO) is a neutrino project with a 20-kton liquid scintillator detector located 700-m underground. The large 20-inch PMTs are one of the crucial components of the JUNO experiment aiming for precision neutrino measurements with better than 3% energy resolution at 1 MeV. The excellent energy resolution and a large fiducial volume provide many exciting opportunities for addressing important topics in neutrino and astroparticle physics. With the container #D at JUNO Pan-Asia PMT testing and potting station, the features of waterproof potted 20-inch PMTs were measured with JUNO 1F3 electronics prototype in waveform and charge, which are valuable for a better understanding of the performance of the waterproof potted PMTs and the JUNO 1F3 electronics. In this paper, the basic features of the JUNO 1F3 electronics prototype run at Pan-Asia will be introduced, followed by an analysis of the waterproof potted 20-inch PMTs and a comparison with the results from commercial electronics used by container #A and #B.

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Section: Charge Parametersmentioning

confidence: 99%

Check on the features of potted 20-inch PMTs with 1F3 electronics prototype at Pan-Asia

Caimei

Wang

et al. 2023

J. Inst.

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“…Characterization of several sample tubes is to be published. We established a waveform analysis algorithm dedicated to this new kind of PMT, based on the methods introduced in by Xu et al [10]…”

Section: Microchannel Plate Photomultipliermentioning

confidence: 99%

Design and Construction of hundred-ton liquid neutrino detector at CJPL II

Xu¹

2022

Proceedings of 41st International Conference on High Energy Physics — PoS(ICHEP2022)

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The China Jinping Underground Neutrino Experiment forsees completion of phase II construction around 2025. A hundred-ton liquid scintillator detector, Jinping Neutrino Experiment, will be built one year after that, targeting terrestrial, solar and supernova neutrinos with different interchangeable detection media. We are going to review the status and plans of the project, including construction of the experiment site, design of the detector, instrumentation of the fast frontend electronics and new photomultiplier tubes.

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“…is estimated with MLE from posterior distribution. This algorithm is called fast stochastic matching pursuit (FSMP) [3]. Fast Bayesian methods are used in calculating [4].…”

Section: The Mcmc Steps In Fsmpmentioning

confidence: 99%

“…Figure 1 FSMP opens the opportunity to boost energy resolution (×1.07) and particle identification in PMT-based neutrino experiments. Figure 2 and 3 shows bias and resolution for and 0 [3].…”

Section: The Mcmc Steps In Fsmpmentioning

confidence: 99%

Bayesian method for waveform analysis with GPU acceleration

Wang¹,

Xu²

2022

Proceedings of 41st International Conference on High Energy Physics — PoS(ICHEP2022)

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Typically, in the reconstruction of events recorded by liquid scintillators, we need to extract the photo-electron (PE) hit times and PE charges from waveforms. We developed a new method called Fast Scholastic Matching Pursuit (FSMP). It is based on Bayesian principles, and the possible solutions are sampled with Markov Chain Monte Carlo (MCMC). To accelerate the method, we ported it to GPU, and could analyze the waveforms with 0.01s per waveform. This method will benefit event reconstruction. The position and energy resolution will be improved, as the method extracts all the information in the waveforms.

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Towards the ultimate PMT waveform analysis for neutrino and dark matter experiments

Cited by 6 publications

References 44 publications

Check on the features of potted 20-inch PMTs with 1F3 electronics prototype at Pan-Asia

Check on the features of potted 20-inch PMTs with 1F3 electronics prototype at Pan-Asia

Design and Construction of hundred-ton liquid neutrino detector at CJPL II

Bayesian method for waveform analysis with GPU acceleration

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