A new charge reconstruction combination method for multilayer plastic scintillator detectors

Abstract This paper introduces a new charge reconstruction combination method used Bayesian for multilayer detectors to enhance the charge identification capability. The method employs a Landau convoluted Gaussian function to fit charge distributions of each layer, deriving the probability density function (PDF) which serves as a likelihood function. By combining the likelihood function of the same nucleus in different layers, the joint likelihood function is obtained for each nucleus sample. The combined charge of the incident particle is built according to the Bayesian approach. The new method is used to combine the charge reconstruction results of two layers of plastic scintillator detector, and the effectiveness of the method is verified with the beam test and simulation data. By comparing the performance with the traditional direct averaging method, the Bayesian method is significantly better than the traditional method.

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Publication Details

Journal
Journal of Instrumentation
Published
2025-10-01
DOI
https://doi.org/10.1088/1748-0221/20/10/p10013
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
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article

A new charge reconstruction combination method for multilayer plastic scintillator detectors

Yaqing Liu, Fan Zhang, D. Y. Guo, M. Scaringella et al.
Journal of Instrumentation
Radiation Detection and Scintillator Technologies
article

A new charge reconstruction combination method for multilayer plastic scintillator detectors

Yaqing Liu, Fan Zhang, D. Y. Guo, M. Scaringella, Zhicheng Tang, Nicola Zampa, N. Mōri, S. Detti, O. Starodubtsev, Dong Liu, Yang‐Kook Sun, E. Berti, L. Pacini, J. Casaus, A. Tiberio, P. Betti, Hengyi Cai, Wen-Xi Peng, C. Pizzolotto, O. Adriani, M. H. Li, Meng Wang, Bing Lu, Zuhao Li, Dali Zhang, Gianluigi Zampa, J. Marín, C. Díaz, Quanyin Li, G. Martı́nez, Zhigang Wang
article en

Abstract

Abstract This paper introduces a new charge reconstruction combination method used Bayesian for multilayer detectors to enhance the charge identification capability. The method employs a Landau convoluted Gaussian function to fit charge distributions of each layer, deriving the probability density function (PDF) which serves as a likelihood function. By combining the likelihood function of the same nucleus in different layers, the joint likelihood function is obtained for each nucleus sample. The combined charge of the incident particle is built according to the Bayesian approach. The new method is used to combine the charge reconstruction results of two layers of plastic scintillator detector, and the effectiveness of the method is verified with the beam test and simulation data. By comparing the performance with the traditional direct averaging method, the Bayesian method is significantly better than the traditional method.

Journal of InstrumentationVol. 20(10)
Qingdao Binhai University (CN), Chinese Academy of Sciences (CN), Inner Mongolia University (CN), Istituto Nazionale di Fisica Nucleare, Sezione di Firenze (IT), Institute of High Energy Physics (CN), Shandong Academy of Sciences (CN), Istituto Nazionale di Fisica Nucleare, Sezione di Trieste (IT), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), University of Florence (IT)
Openalex Percentile: Top 63%
Radiation Detection and Scintillator Technologies
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