Vertex and Energy Reconstruction in JUNO with Machine Learning Methods
Vertex and Energy Reconstruction in JUNO with Machine Learning Methods
About this item
Full title
Author / Creator
Qian, Zhen , Belavin, Vladislav , Bokov, Vasily , Brugnera, Riccardo , Compagnucci, Alessandro , Gavrikov, Arsenii , Garfagnini, Alberto , Gonchar, Maxim , Khatbullina, Leyla , Li, Ziyuan , Luo, Wuming , Malyshkin, Yury , Piccinelli, Samuele , Provilkov, Ivan , Ratnikov, Fedor , Selivanov, Dmitry , Treskov, Konstantin , Ustyuzhanin, Andrey , Vidaich, Francesco , You, Zhengyun , Zhang, Yumei , Zhu, Jiang and Manzali, Francesco
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
The Jiangmen Underground Neutrino Observatory (JUNO) is an experiment designed to study neutrino oscillations. Determination of neutrino mass ordering and precise measurement of neutrino oscillation parameters \(\sin^2 2\theta_{12}\), \(\Delta m^2_{21}\) and \(\Delta m^2_{32}\) are the main goals of the experiment. A rich physical program beyond th...
Alternative Titles
Full title
Vertex and Energy Reconstruction in JUNO with Machine Learning Methods
Authors, Artists and Contributors
Author / Creator
Belavin, Vladislav
Bokov, Vasily
Brugnera, Riccardo
Compagnucci, Alessandro
Gavrikov, Arsenii
Garfagnini, Alberto
Gonchar, Maxim
Khatbullina, Leyla
Li, Ziyuan
Luo, Wuming
Malyshkin, Yury
Piccinelli, Samuele
Provilkov, Ivan
Ratnikov, Fedor
Selivanov, Dmitry
Treskov, Konstantin
Ustyuzhanin, Andrey
Vidaich, Francesco
You, Zhengyun
Zhang, Yumei
Zhu, Jiang
Manzali, Francesco
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2477835323
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2477835323
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2101.04839
