Investigating a Deep Learning Method to Analyze Images from Multiple Gamma-ray Telescopes
Investigating a Deep Learning Method to Analyze Images from Multiple Gamma-ray Telescopes
About this item
Full title
Author / Creator
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
Imaging atmospheric Cherenkov telescope (IACT) arrays record images from air showers initiated by gamma rays entering the atmosphere, allowing astrophysical sources to be observed at very high energies. To maximize IACT sensitivity, gamma-ray showers must be efficiently distinguished from the dominant background of cosmic-ray showers using images f...
Alternative Titles
Full title
Investigating a Deep Learning Method to Analyze Images from Multiple Gamma-ray Telescopes
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2336777447
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2336777447
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2001.03602
