| Title: | Search for EeV photon-induced events at the Telescope Array |
|---|
| Authors: | ID Kharuk, I. (Author)
ID Abbasi, R. U. (Author)
ID Abe, Y. (Author)
ID Abu-Zayyad, T. (Author)
ID Allen, M. (Author)
ID Arai, Yasuhiko (Author)
ID Arimura, R. (Author)
ID Barcikowski, E. (Author)
ID Belz, J. W. (Author)
ID Bergman, Douglas R. (Author), et al. |
|---|
| Files: |  ICRC2023_324.pdf (543,46 KB)
MD5: 5DF55A3D080AFB17D6B3846E171BC92B
 https://pos.sissa.it/444/324/
https://pos.sissa.it/444/324/pdf
|
|---|
| Language: | English |
|---|
| Work type: | Unknown |
|---|
| Typology: | 1.08 - Published Scientific Conference Contribution |
|---|
| Organization: | UNG - University of Nova Gorica
|
|---|
| Abstract: | We report on the updated results on the search for photon-like-induced events in the data, collected by Telescope Array's Surface Detectors during the last 14 years. In order to search for photon-like-induced events, we trained a neural network on Monte-Carlo simulated data to distinguish between the proton-induced and photon-induced air showers. Both reconstructed composition-sensitive parameters and raw signals registered by the Surface Detectors are used as input data for the neural network. The classification threshold was optimized to provide the strongest possible constraint on the photons' flux. |
|---|
| Keywords: | Telescope Array, indirect detection, surface detection, ground array, ultra-high energy, cosmic rays, photons, neural network, machine learning |
|---|
| Publication date: | 01.01.2023 |
|---|
| Year of publishing: | 2023 |
|---|
| Number of pages: | str. 1-10 |
|---|
| PID: | 20.500.12556/RUNG-8558-9b203742-d7a2-3407-6dae-e675393fac90  |
|---|
| COBISS.SI-ID: | 167662339 |
|---|
| UDC: | 539.1 |
|---|
| ISSN on article: | 1824-8039 |
|---|
| DOI: | 10.22323/1.444.0324 |
|---|
| NUK URN: | URN:SI:UNG:REP:63GQRVEO |
|---|
| Publication date in RUNG: | 09.10.2023 |
|---|
| Views: | 721 |
|---|
| Downloads: | 6 |
|---|
| Metadata: |     |
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
