Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array
The TAIGA experiment in Tunka valley is expanding the present scintillation detector array with new TAIGA-Muon detector stations. A simulation model was developed for optimization of the layout of the new stations and study of the identification performance of the array. The extensive air showers (E...
Published in: | Journal of Instrumentation |
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2022
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Online Access: | https://hdl.handle.net/2318/1931834 https://doi.org/10.1088/1748-0221/17/05/P05023 |
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ftunivtorino:oai:iris.unito.it:2318/1931834 2023-10-29T02:40:38+01:00 Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array Astapov, I Bezyazeekov, P Blank, M Bonvech, E Borodin, A Brueckner, M Budnev, N Bulan, A Chernov, D Chiavassa, A Dyachok, A Gafarov, A Garmash, A Grebenyuk, V Gress, E Gress, O Gress, T Grinyuk, A Grishin, O Horns, D Igoshin, A Ilyushin, M Ivanova, AD Ivanova, AL Kalmykov, N Kindin, V Kiryuhin, S Kokoulin, R Kompaniets, K Korosteleva, E Kozhin, V Kravchenko, E Kryukov, A Kuotb, A Kuzmichev, L Lagutin, A Lavrova, M Lemeshev, Y Lubsandorzhiev, B Lubsandorzhiev, N Lukanov, A Lukyantsev, D Malakhov, S Mirgazov, R Mirzoyan, R Monkhoev, R Osipova, E Pakhorukov, A Pan, A Pankov, L Panov, L Petrukhin, A Poddubnyi, I Podgrudkov, D Poleschuk, V Ponomareva, V Popesku, M Popova, E Porelli, A Postnikov, E Prosin, V Ptuskin, V Pushnin, A Raikin, R Rubtsov, G Ryabov, E Sagan, Y Samoliga, V Satyshev, I Silaev, A Sidorenkov, A Sinegovsky, S Skurikhin, A Sokolov, A Sulakov, V Sveshnikova, L Tabolenko, V Tanaev, A Tarashchansky, B Ternovoy, M Tkachev, L Tluczykont, M Togoo, R Ushakov, N Vaidyanathan, A Volchugov, P Volkov, N Vorobyov, V Voronin, D Wischnewski, R Zagorodnikov, A Zhaglova, A Zhurov, D Yashin, I Astapov, I Bezyazeekov, P Blank, M Bonvech, E Borodin, A Brueckner, M Budnev, N Bulan, A Chernov, D Chiavassa, A Dyachok, A Gafarov, A Garmash, A Grebenyuk, V Gress, E Gress, O Gress, T Grinyuk, A Grishin, O Horns, D Igoshin, A Ilyushin, M Ivanova, AD Ivanova, AL Kalmykov, N Kindin, V Kiryuhin, S Kokoulin, R Kompaniets, K Korosteleva, E Kozhin, V Kravchenko, E Kryukov, A Kuotb, A Kuzmichev, L Lagutin, A Lavrova, M Lemeshev, Y Lubsandorzhiev, B Lubsandorzhiev, N Lukanov, A Lukyantsev, D Malakhov, S Mirgazov, R Mirzoyan, R Monkhoev, R Osipova, E Pakhorukov, A Pan, A Pankov, L 2022 https://hdl.handle.net/2318/1931834 https://doi.org/10.1088/1748-0221/17/05/P05023 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000804849000001 volume:17 issue:5 firstpage:P05023 lastpage:- numberofpages:- journal:JOURNAL OF INSTRUMENTATION https://hdl.handle.net/2318/1931834 doi:10.1088/1748-0221/17/05/P05023 Data processing method Detector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc) Particle identification method Scintillators scintillation and light emission processes (solid gas and liquid scintillators) info:eu-repo/semantics/article 2022 ftunivtorino https://doi.org/10.1088/1748-0221/17/05/P05023 2023-10-03T22:14:51Z The TAIGA experiment in Tunka valley is expanding the present scintillation detector array with new TAIGA-Muon detector stations. A simulation model was developed for optimization of the layout of the new stations and study of the identification performance of the array. The extensive air showers (EASs) were simulated with the CORSIKA simulation tool, and the detector response was simulated with the GEANT4 package. EASs induced by gamma quanta or protons in the energy range from 1 PeV to 10 PeV and the zenith angle range from 0 degrees to 45 degrees, are used for these studies. For the identification of high energy extensive air showers, a method based on a neural network was suggested. With this method, the proton identification efficiency is more than 90%, while the gamma identification efficiency not less than 50%. Article in Journal/Newspaper taiga Università degli studi di Torino: AperTo (Archivio Istituzionale ad Accesso Aperto) Journal of Instrumentation 17 05 P05023 |
institution |
Open Polar |
collection |
Università degli studi di Torino: AperTo (Archivio Istituzionale ad Accesso Aperto) |
op_collection_id |
ftunivtorino |
language |
English |
topic |
Data processing method Detector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc) Particle identification method Scintillators scintillation and light emission processes (solid gas and liquid scintillators) |
spellingShingle |
Data processing method Detector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc) Particle identification method Scintillators scintillation and light emission processes (solid gas and liquid scintillators) Astapov, I Bezyazeekov, P Blank, M Bonvech, E Borodin, A Brueckner, M Budnev, N Bulan, A Chernov, D Chiavassa, A Dyachok, A Gafarov, A Garmash, A Grebenyuk, V Gress, E Gress, O Gress, T Grinyuk, A Grishin, O Horns, D Igoshin, A Ilyushin, M Ivanova, AD Ivanova, AL Kalmykov, N Kindin, V Kiryuhin, S Kokoulin, R Kompaniets, K Korosteleva, E Kozhin, V Kravchenko, E Kryukov, A Kuotb, A Kuzmichev, L Lagutin, A Lavrova, M Lemeshev, Y Lubsandorzhiev, B Lubsandorzhiev, N Lukanov, A Lukyantsev, D Malakhov, S Mirgazov, R Mirzoyan, R Monkhoev, R Osipova, E Pakhorukov, A Pan, A Pankov, L Panov, L Petrukhin, A Poddubnyi, I Podgrudkov, D Poleschuk, V Ponomareva, V Popesku, M Popova, E Porelli, A Postnikov, E Prosin, V Ptuskin, V Pushnin, A Raikin, R Rubtsov, G Ryabov, E Sagan, Y Samoliga, V Satyshev, I Silaev, A Sidorenkov, A Sinegovsky, S Skurikhin, A Sokolov, A Sulakov, V Sveshnikova, L Tabolenko, V Tanaev, A Tarashchansky, B Ternovoy, M Tkachev, L Tluczykont, M Togoo, R Ushakov, N Vaidyanathan, A Volchugov, P Volkov, N Vorobyov, V Voronin, D Wischnewski, R Zagorodnikov, A Zhaglova, A Zhurov, D Yashin, I Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array |
topic_facet |
Data processing method Detector modelling and simulations I (interaction of radiation with matter interaction of photons with matter interaction of hadrons with matter etc) Particle identification method Scintillators scintillation and light emission processes (solid gas and liquid scintillators) |
description |
The TAIGA experiment in Tunka valley is expanding the present scintillation detector array with new TAIGA-Muon detector stations. A simulation model was developed for optimization of the layout of the new stations and study of the identification performance of the array. The extensive air showers (EASs) were simulated with the CORSIKA simulation tool, and the detector response was simulated with the GEANT4 package. EASs induced by gamma quanta or protons in the energy range from 1 PeV to 10 PeV and the zenith angle range from 0 degrees to 45 degrees, are used for these studies. For the identification of high energy extensive air showers, a method based on a neural network was suggested. With this method, the proton identification efficiency is more than 90%, while the gamma identification efficiency not less than 50%. |
author2 |
Astapov, I Bezyazeekov, P Blank, M Bonvech, E Borodin, A Brueckner, M Budnev, N Bulan, A Chernov, D Chiavassa, A Dyachok, A Gafarov, A Garmash, A Grebenyuk, V Gress, E Gress, O Gress, T Grinyuk, A Grishin, O Horns, D Igoshin, A Ilyushin, M Ivanova, AD Ivanova, AL Kalmykov, N Kindin, V Kiryuhin, S Kokoulin, R Kompaniets, K Korosteleva, E Kozhin, V Kravchenko, E Kryukov, A Kuotb, A Kuzmichev, L Lagutin, A Lavrova, M Lemeshev, Y Lubsandorzhiev, B Lubsandorzhiev, N Lukanov, A Lukyantsev, D Malakhov, S Mirgazov, R Mirzoyan, R Monkhoev, R Osipova, E Pakhorukov, A Pan, A Pankov, L |
format |
Article in Journal/Newspaper |
author |
Astapov, I Bezyazeekov, P Blank, M Bonvech, E Borodin, A Brueckner, M Budnev, N Bulan, A Chernov, D Chiavassa, A Dyachok, A Gafarov, A Garmash, A Grebenyuk, V Gress, E Gress, O Gress, T Grinyuk, A Grishin, O Horns, D Igoshin, A Ilyushin, M Ivanova, AD Ivanova, AL Kalmykov, N Kindin, V Kiryuhin, S Kokoulin, R Kompaniets, K Korosteleva, E Kozhin, V Kravchenko, E Kryukov, A Kuotb, A Kuzmichev, L Lagutin, A Lavrova, M Lemeshev, Y Lubsandorzhiev, B Lubsandorzhiev, N Lukanov, A Lukyantsev, D Malakhov, S Mirgazov, R Mirzoyan, R Monkhoev, R Osipova, E Pakhorukov, A Pan, A Pankov, L Panov, L Petrukhin, A Poddubnyi, I Podgrudkov, D Poleschuk, V Ponomareva, V Popesku, M Popova, E Porelli, A Postnikov, E Prosin, V Ptuskin, V Pushnin, A Raikin, R Rubtsov, G Ryabov, E Sagan, Y Samoliga, V Satyshev, I Silaev, A Sidorenkov, A Sinegovsky, S Skurikhin, A Sokolov, A Sulakov, V Sveshnikova, L Tabolenko, V Tanaev, A Tarashchansky, B Ternovoy, M Tkachev, L Tluczykont, M Togoo, R Ushakov, N Vaidyanathan, A Volchugov, P Volkov, N Vorobyov, V Voronin, D Wischnewski, R Zagorodnikov, A Zhaglova, A Zhurov, D Yashin, I |
author_facet |
Astapov, I Bezyazeekov, P Blank, M Bonvech, E Borodin, A Brueckner, M Budnev, N Bulan, A Chernov, D Chiavassa, A Dyachok, A Gafarov, A Garmash, A Grebenyuk, V Gress, E Gress, O Gress, T Grinyuk, A Grishin, O Horns, D Igoshin, A Ilyushin, M Ivanova, AD Ivanova, AL Kalmykov, N Kindin, V Kiryuhin, S Kokoulin, R Kompaniets, K Korosteleva, E Kozhin, V Kravchenko, E Kryukov, A Kuotb, A Kuzmichev, L Lagutin, A Lavrova, M Lemeshev, Y Lubsandorzhiev, B Lubsandorzhiev, N Lukanov, A Lukyantsev, D Malakhov, S Mirgazov, R Mirzoyan, R Monkhoev, R Osipova, E Pakhorukov, A Pan, A Pankov, L Panov, L Petrukhin, A Poddubnyi, I Podgrudkov, D Poleschuk, V Ponomareva, V Popesku, M Popova, E Porelli, A Postnikov, E Prosin, V Ptuskin, V Pushnin, A Raikin, R Rubtsov, G Ryabov, E Sagan, Y Samoliga, V Satyshev, I Silaev, A Sidorenkov, A Sinegovsky, S Skurikhin, A Sokolov, A Sulakov, V Sveshnikova, L Tabolenko, V Tanaev, A Tarashchansky, B Ternovoy, M Tkachev, L Tluczykont, M Togoo, R Ushakov, N Vaidyanathan, A Volchugov, P Volkov, N Vorobyov, V Voronin, D Wischnewski, R Zagorodnikov, A Zhaglova, A Zhurov, D Yashin, I |
author_sort |
Astapov, I |
title |
Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array |
title_short |
Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array |
title_full |
Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array |
title_fullStr |
Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array |
title_full_unstemmed |
Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array |
title_sort |
identification of electromagnetic and hadronic eass using neural network for taiga scintillation detector array |
publishDate |
2022 |
url |
https://hdl.handle.net/2318/1931834 https://doi.org/10.1088/1748-0221/17/05/P05023 |
genre |
taiga |
genre_facet |
taiga |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000804849000001 volume:17 issue:5 firstpage:P05023 lastpage:- numberofpages:- journal:JOURNAL OF INSTRUMENTATION https://hdl.handle.net/2318/1931834 doi:10.1088/1748-0221/17/05/P05023 |
op_doi |
https://doi.org/10.1088/1748-0221/17/05/P05023 |
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Journal of Instrumentation |
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17 |
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P05023 |
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