Vertex and energy reconstruction in JUNO with machine learning methods-Reference-Cited by-同舟云学术

Vertex and energy reconstruction in JUNO with machine learning methods

Published:2021-06 Issue: Volume: Page:165527
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:

Qian Zhen,Belavin Vladislav^ORCID,Bokov Vasily^ORCID,Brugnera Riccardo^ORCID,Compagnucci Alessandro,Gavrikov Arsenii,Garfagnini Alberto^ORCID,Gonchar Maxim^ORCID,Khatbullina Leyla,Li Ziyuan^ORCID,Luo Wuming^ORCID,Malyshkin Yury,Piccinelli Samuele^ORCID,Provilkov Ivan,Ratnikov Fedor,Selivanov Dmitry,Treskov Konstantin^ORCID,Ustyuzhanin Andrey,Vidaich Francesco^ORCID,You Zhengyun,Zhang Yumei,Zhu Jiang,Manzali Francesco

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference61 articles.

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5. Searching for exotic particles in high-energy physics with deep learning;Baldi;Nature Commun.,2014

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