TAIGA—an advanced hybrid detector complex for astroparticle physics and high energy gamma-ray astronomy in the Tunka valley

Буднев, Н.; Астапов, И. И.; Bezyazeekov, P. A.; Bonvech, E. A.; Boreyko, V.; Бородин, А.; Brückner, Martin; Булан, А.; Чернов, Д. В.; Chernykh, D.; Чиавасса, А.; Dyachok, A.; Fedorov, Oleg; Gafarov, A.; Garmash, A.; Grebenyuk, V.; Гресс, О. А.; Гресс, Т.; Grinyuk, A.; Гришин, О.; Horns, D.; Ivanova, A. L.; Калмыков, Н. Н.; Kazarina, Y.; Киндин, В. В.; Kiryuhin, S.; Кокоулин, Р. П.; Компаниец, К. Г.; Kostunin, D.; Коростелева, Е. Е.; Kozhin, V.; Кравченко, Е. А.; Kryukov, Alexander; Kuzmichev, L. A.; Лагутин, А. А.; Lemeshev, Yu.; Лубсандоржиев, Б.; Лубсандоржиев, Н.; Миргазов, Р. Р.; Mirzoyan, R.; Монхоев, Р.; Osipova, E.; Пахоруков, А.; Пан, А.; Panasyuk, M. I.; Pankov, L.; Подгрудков, Д.; Poleschuk, V.; Попеску, М.; Popova, E.; Порелли, А.; Постников, Е.; Prosin, V. V.; Птускин, В. С.; Петрухин, А. А.; Пушнин, А.; Райкин, Р. И.; Rjabov, E.V.; Рубцов, Г.; Sagan, Y.; Самолига, В.; Sidorenkov, A.; Силаев, А.; Скурихин, А. В.; Slunečka, M.; Sokolov, A.; Свешникова, Л.; Suvorkin, Y.; Таболенко, В. А.; Танаев, А.; Tarashansky, B.; Ternovoy, L. M.; Tkachenko, A.; Ткачев, Л.; Tluczykont, M.; Ушаков, Н.; Vaidyanathan, A.; Волчугов, П.; Воронин, Д.; Wischnewski, R.; Yashin, I. I.; Загородников, А.; Zhurov, D.

doi:10.1088/1748-0221/15/09/c09031

Cited by 27 publications

(14 citation statements)

References 29 publications

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“…The main projects are the imaging air Cherenkov telescopes (IACTs) of the 4 m class, the light front sampling HiSCORE array [5], and underground muon detectors. For more details of the project, see the overview talk of this conference [3]. One of the goals of TAIGA is to establish the hybrid method, which aims to combine the gamma/hadron separation power of IACT images with the core position and origin estimation of the HiSCORE array.…”

Section: The Taiga Projectmentioning

confidence: 99%

“…However, experiments aiming to achieve useful sensitivities require effective areas of a few km 2 . The Tunka Advanced Instrument for cosmic ray and Gamma ray Astronomy (TAIGA) aims to establish the combination of Imaging Air Cherenkov Telescopes (IACTs) with the light front sampling optical timing stations of HiSCORE to cost-effectively cover 1 km 2 in a first and 5 km 2 in a second stage [2,3].…”

Section: Introductionmentioning

confidence: 99%

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Development of hybrid reconstruction techniques for TAIGA

Blank¹,

Tluczykont²,

Awad³

et al. 2021

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

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The TAIGA-experiment aims to implement a hybrid detection technique of Extensive Air Showers (EAS) at TeV to PeV energies, combining the wide angle Cherenkov timing array HiSCORE with Imaging Air Cherenkov Telescopes (IACTs). The detector currently consists of 89 HiSCORE stations and two IACTs, distributed over an area of about 1 km . Our goal is to introduce a new reconstruction technique, combining the good angular and shower core resolution of HiSCORE with the gamma-hadron separation power of the imaging telescopes. With the second IACT in operation, three different event types can be explored: IACT stereo, full hybrid (IACT stereo + stations) and mono hybrid (IACT mono + HiSCORE), the latter being the operational goal of TAIGA. The status of the development of the full hybrid reconstruction and its verification using real data and simulation are presented.

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Section: The Taiga Projectmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of hybrid reconstruction techniques for TAIGA

Blank¹,

Tluczykont²,

Awad³

et al. 2021

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

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“…Due to the high sensitivity of the stations and the ability to measure the signal registration time at different stations, the accuracy of determining the EAS parameters is higher than that of many other instruments. [4]…”

Section: Taiga Experimentsmentioning

confidence: 99%

Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using Convolutional Neural Networks

Vlaskina¹,

Kryukov²

2021

Proceedings of the 5th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2021)

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TAIGA is a hybrid observatory for gamma-ray astronomy at high energies in range from 10 TeV to several EeV. It consists of instruments such as TAIGA-IACT, TAIGA-HiSCORE, and others. TAIGA-HiSCORE, in particular, is an array of wide-angle timing Cherenkov light stations. TAIGA-HiSCORE data enable to reconstruct air shower characteristics, such as air shower energy, arrival direction, and axis coordinates. In this report, we propose to consider the use of convolution neural networks in task of air shower characteristics determination. We use Convolutional Neural Networks (CNN) to analyze HiSCORE events, treating them like images. For this, the times and amplitudes of events recorded at HiSCORE stations are used. The work discusses a simple convolutional neural network and its training. In addition, we present some preliminary results on the determination of the parameters of air showers such as the direction and position of the shower axis and the energy of the primary particle and compare them with the results obtained by the traditional method.

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“…The Tunka-Grande scintillation array is a part of the TAIGA hybrid experimental complex [1] designed for high-energy gamma-ray astronomy and cosmic-ray physics. It contains 19 scintillation stations located on the area of the Tunka-133 Cherenkov array [2] in the circle with a radius of about 400 meters.…”

Section: Introductionmentioning

confidence: 99%