TA SD energy and arrival direction estimation using deep learning
-
72 views
-
2 likes
-
0 favorites
- uploaded July 7, 2021
Discussion timeslot (ZOOM-Meeting): 16. July 2021 - 18:00
ZOOM-Meeting URL: https://icrc2021.desy.de/pf_access_abstracts
Corresponding Session: https://icrc2021-venue.desy.de/channel/Presenter-Forum-1-Evening-All-Categories/48
Abstract:
'A novel ultra-high-energy cosmic rays energy and arrival direction reconstruction method for Telescope Array surface detector is presented. The analysis is based on a deep convolutional neural network using detector signal time series as the input and the network is trained on a large Monte-Carlo dataset. This method is compared in terms of statistical and systematic energy and arrival direction determination errors with the standard Telescope Array surface detector event reconstruction procedure.'
Authors: Oleg Kalashev
Collaboration: Telescope Array
Indico-ID: 1026
Proceeding URL: https://pos.sissa.it/395/252
Categories:
Cosmic Ray Indirect, Scientific Contributions
Presenter:
Oleg Kalashev
