Application of a deep learning method for shower axis reconstruction in a 3D imaging calorimeter-Reference-Cited by-同舟云学术

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Application of a deep learning method for shower axis reconstruction in a 3D imaging calorimeter

Published:2024-09 Issue: Volume:1066 Page:169571
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:

Yang X.G.^ORCID,Quan Z.^ORCID,Dong Y.W.,Xu M.,Zhang C.,Wang J.J.^ORCID,Liao C.L.^ORCID,Wu Q.^ORCID,Sun J.Y.,Liu X.^ORCID,Wang R.J.,Wang Z.G.,Wu B.B.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Chinese Academy of Sciences

Publisher

Elsevier BV

Reference26 articles.

1. Introduction to the high energy cosmic-radiation detection (HERD) facility onboard China’s future space station;Zhang,2017

2. Overall status of the high energy cosmic radiation detection facility onboard the future China’s space station;Dong,2019

3. A novel 3-D calorimeter for the high energy cosmic-radiation detection (HERD) facility onboard China’s future space station;Dong,2017

4. FIT: the scintillating fiber tracker of the HERD space mission;Perrina,2021

5. The plastic scintillator detector of the HERD space mission;Kyratzis,2021

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