Research output: Contribution to journal › Article › peer-review
An approach for identification of ultrahigh energy extensive air showers with scintillation detectors at TAIGA experiment. / the TAIGA Collaboration ; Вайдянатан, Арун .
In: Journal of Instrumentation, Vol. 15, No. 9, C09037, 09.2020.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - An approach for identification of ultrahigh energy extensive air showers with scintillation detectors at TAIGA experiment
AU - the TAIGA Collaboration
AU - Chernukh, D.
AU - Krykov, A.
AU - Silaev, Jr
AU - Suvorkin, Y.
AU - Astapov, I.
AU - Bezyazeekov, P.
AU - Borodin, A.
AU - Brueckner, M.
AU - Budnev, N.
AU - Bulan, A.
AU - Chernukh, D.
AU - Chiavassa, A.
AU - Dyachok, A.
AU - Fedorov, O.
AU - Gafarov, A.
AU - Garmash, A.
AU - Grebenyuk, V.
AU - Gress, O.
AU - Gress, T.
AU - Grishin, O.
AU - Grinyuk, A.
AU - Horns, D.
AU - Ivanova, A.
AU - Kalmykov, N.
AU - Kazarina, Y.
AU - Kindin, V.
AU - Kiryuhin, S.
AU - Kokoulin, R.
AU - Kompaniets, K.
AU - Korosteleva, E.
AU - Kozhin, V.
AU - Kravchenko, E.
AU - Krykov, A.
AU - Kuzmichev, L.
AU - Lagutin, A.
AU - Lemeshev, Yu
AU - Lenok, V.
AU - Lubsandorzhiev, B.
AU - Lubsandorzhiev, N.
AU - Mirgazov, R.
AU - Mirzoyan, R.
AU - Monkhoev, R.
AU - Osipova, E.
AU - Pakhorukov, A.
AU - Pan, A.
AU - Panasyuk, M.
AU - Pankov, L.
AU - Rubtsov, G.
AU - Sokolov, A.
AU - Vorobyev, V.
AU - Вайдянатан, Арун
PY - 2020/9
Y1 - 2020/9
N2 - The TAIGA astroparticle observatory is under development at Tunka valley close to the Baikal Lake. This simulation study is concentrated on the ultrahigh energy extensive air showers (EAS) induced by gamma-quanta or proton in the range from 1 PeV to 10 PeV and zenith angle ranging 0°-45°. For this work, a set of air showers was created by CORSIKA software package. The list of useful secondary particles at the ground level is produced using the COAST library package. The interaction of secondary particles with the soil and detectors was simulated with GEANT4 package. The method based on neural network has been developed for the separation of EAS induced by gamma-quanta or proton. The air showers having energy ranging 1-10 PeV show more than 90% of identification efficiency of protons while keeping identification efficiency of gamma around 50% or more.
AB - The TAIGA astroparticle observatory is under development at Tunka valley close to the Baikal Lake. This simulation study is concentrated on the ultrahigh energy extensive air showers (EAS) induced by gamma-quanta or proton in the range from 1 PeV to 10 PeV and zenith angle ranging 0°-45°. For this work, a set of air showers was created by CORSIKA software package. The list of useful secondary particles at the ground level is produced using the COAST library package. The interaction of secondary particles with the soil and detectors was simulated with GEANT4 package. The method based on neural network has been developed for the separation of EAS induced by gamma-quanta or proton. The air showers having energy ranging 1-10 PeV show more than 90% of identification efficiency of protons while keeping identification efficiency of gamma around 50% or more.
KW - Detector modelling and simulations II (electric fields, charge transport, multiplication and induction, pulse formation, electron emission, etc)
KW - Particle identification methods
KW - Performance of High Energy Physics Detectors
KW - Scintillators, scintillation and light emission processes (solid, gas and liquid scintillators)
UR - http://www.scopus.com/inward/record.url?scp=85091697312&partnerID=8YFLogxK
U2 - 10.1088/1748-0221/15/09/C09037
DO - 10.1088/1748-0221/15/09/C09037
M3 - Article
AN - SCOPUS:85091697312
VL - 15
JO - Journal of Instrumentation
JF - Journal of Instrumentation
SN - 1748-0221
IS - 9
M1 - C09037
ER -
ID: 25605241