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Title:Exploring deep learning as an event classification method for the Cherenkov Telescope Array
Authors:ID Nieto, D. (Author)
ID Eckner, Christopher (Author)
ID Kukec Mezek, Gašper (Author)
ID Stanič, Samo (Author)
ID Vorobiov, Serguei (Author)
ID Yang, Lili (Author)
ID Zaharijas, Gabrijela (Author)
ID Zavrtanik, Danilo (Author)
ID Zavrtanik, Marko (Author), et al.
Files:.pdf ICRC2017_809.pdf (313,07 KB)
MD5: 51AE89117CFE67B903B34326AAD08824
 
Language:English
Work type:Not categorized
Typology:1.08 - Published Scientific Conference Contribution
Organization:UNG - University of Nova Gorica
Keywords:CTA, event classification, deep learning
Publication version:Version of Record
Year of publishing:2017
Number of pages:8
Numbering:301
PID:20.500.12556/RUNG-3957 New window
COBISS.SI-ID:5096443 New window
NUK URN:URN:SI:UNG:REP:LKGOSHMM
Publication date in RUNG:16.02.2018
Views:4622
Downloads:148
Metadata:XML DC-XML DC-RDF
:
NIETO, D., ECKNER, Christopher, KUKEC MEZEK, Gašper, STANIČ, Samo, VOROBIOV, Serguei, YANG, Lili, ZAHARIJAS, Gabrijela, ZAVRTANIK, Danilo and ZAVRTANIK, Marko, 2017, Exploring deep learning as an event classification method for the Cherenkov Telescope Array. In : The 35th International Cosmic Ray Conference - ICRC 2017 [online]. Published Scientific Conference Contribution. 2017. [Accessed 24 April 2025]. Retrieved from: https://repozitorij.ung.si/IzpisGradiva.php?lang=eng&id=3806
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Record is a part of a proceedings

Title:The 35th International Cosmic Ray Conference - ICRC 2017

Record is a part of a journal

Title:Proceedings of Science
Publisher:SISSA, Italy
Year of publishing:2017

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:16.02.2018

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