A neural network approach for identification of gamma-ray spectrum obtained from silicon photomultipliers-Reference-Cited by-同舟云学术

A neural network approach for identification of gamma-ray spectrum obtained from silicon photomultipliers

Published:2020-02 Issue: Volume:954 Page:161704
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Jhung Seungho,Hur Seop,Cho Gyuseong,Kwon Inyong

Funder

Ministry of Science and ICT

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference23 articles.

1. SensL technical note, Introduction to SiPM, available at https://www.sensl.com/downloads/ds/TN%20-%20Intro%20to%20SPM%20Tech.pdf (accessed on July 23rd 2018).

2. Status report on silicon photomultiplier development and its applications;Dolgoshein;Nucl. Instrum. Methods Phys. Res. A,2006

3. Geiger-mode avalanche photodiodes, history, properties and problems;Renker;Nucl. Instrum. Methods Phys. Res. A,2006

4. Limited Geiger-mode microcell silicon photodiode: new results;Bondarenko;Nucl. Instrum. Methods Phys. Res. A,2000

5. Silicon photomultiplier and its possible applications;Buzhan;Nucl. Instrum. Methods Phys. Res. A,2003

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