Using deep learning to enhance event geometry reconstruction for the telescope array surface detecto...
Using deep learning to enhance event geometry reconstruction for the telescope array surface detector
About this item
Full title
Author / Creator
Ivanov, D , Kalashev, O E , Kuznetsov, M Yu , Rubtsov, G I , Sako, T , Tsunesada, Y and Zhezher, Y V
Publisher
Bristol: IOP Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Bristol: IOP Publishing
Subjects
More information
Scope and Contents
Contents
The extremely low flux of ultra-high energy cosmic rays (UHECR) makes their direct observation by orbital experiments practically impossible. For this reason all current and planned UHECR experiments detect cosmic rays indirectly by observing the extensive air showers (EAS) initiated by cosmic ray particles in the atmosphere. The world largest stat...
Alternative Titles
Full title
Using deep learning to enhance event geometry reconstruction for the telescope array surface detector
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1088_2632_2153_abae74
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1088_2632_2153_abae74
Other Identifiers
ISSN
2632-2153
E-ISSN
2632-2153
DOI
10.1088/2632-2153/abae74
