Development of the camera for the large size telescopes of the Cherenkov Telescope Array

Inome, Yusuke; Ambrosi, G.; Awane, Y.; Baba, Hajime; Bamba, Aya; Barceló, M.; Almeida, U. Barres de; Barrio, J. A.; Blanch-Bigas, O.; Boix, J.; Brunetti, L.; Carmona, E.; Chabanne, E.; Chikawa, M.; Cho, N.; Colin, P.; Contreras, J. L.; Cortina, J.; Dazzi, F.; Deangelis, A.; Deleglise, Guillaume; Mendez, C. Delgado; Díaz, C.; Dubois, F.; Fiaßon, A.; Fink, David J.; Fouque, N.; Freixas, Lluís; Fruck, C.; Gadola, A.; García, R. Luna; Gascón, D.; Geffroy, N.; Giglietto, N.; Giordano, F.; Grañena, F.; Gunji, S.; Hagiwara, Rika; Hamer, N.; Hanabata, Y.; Hassan, Tarek; Hatanaka, K.; Haubold, T.; Hayashida, M.; Hermel, R.; Herranz, D.; Hirotani, Kouichi; Hose, J.; Hugh, D.; Inoue, Susumu; Inoue, Y.; Ioka, Kunihito; Jablonski, C.; Kagaya, Mika; Katagiri, H.; Kataoka, J.; Kellermann, H.; Kishimoto, T.; Knoetig, M. L.; Kodani, K.; Kohri, Kazunori; Kojima, Tokuzō; Konno, Y.; Koyama, Shu; Kubo, H.; Kushida, J.; Lamanna, G.; Flour, T. Le; López, M.; López, R.; Lorenz, E.; Majumdar, P.; Manalaysay, A.; Mariotti, M.; Martínez, G.; Martı́nez, M.; Masuda, S.; Matsuoka, Satoshi; Mazin, D.; Menzel, U.; Miranda, J. M.; Mirzoyan, R.; Monteiro, Inocencio; Moralejo, A.; Murase, Kohta; Nagataki, Shigehiro; Nagayoshi, T.; Nakajima, D.; Nakamori, Takeshi; Nishijima, K.; Noda, K.; Nozato, A.; Ogino, M.; Ohira, Yutaka; Ohishi, M.; Ohoka, H.; Okumura, A.; Ono, S.; Orito, R.; Panazol, J. L.; Paneque, D.; Paoletti, R.; Paredes, J. M.; Pauletta, G.; Podkladkin, S.; Prast, J.; Rando, R.; Reimann, O.; Ribó, M.; Rosier‐Lees, S.; Saito, Koji; Saito, Takayuki; Saito, Yuji; Sakaki, N.; Sakonaka, R.; Sanuy, A.; Sawada, Makoto; Scalzotto, V.; Schultz, S.; Schweizer, T.; Shibata, T.; Shu, Shiwei; Sieiro, J.; Stamatescu, V.; Steiner, S.; Straumann, U.; Sugawara, R.; Tajima, H.; Takami, H.; Takahashi, Mitsunari; Tanaka, S.; Tanaka, Masahito; Tejedor, Luis; Terada, Y.; Teshima, M.; Tomono, Yuka; Totani, Tomonori; Toyama, Takeshi; Tsubone, Y.; Tsuchiya, Y.; Tsujimoto, S.; Ueno, H.; Umehara, K.; Umetsu, Y.; Vollhardt, A.; Wagner, R. M.; Wetteskind, H.; Yamamoto, Tokonatsu; Yamazaki, Ryo; Yoshida, A.; Yoshida, Tatsuo; Yoshikoshi, T.

doi:10.1117/12.2054619

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…light stimulated by the development of the atmospheric shower of particles occurring when a gamma-ray photon enters the atmosphere. This emitted light is collected by a mirror, and captured by a specific ultra-fast and very sensitive optical camera [1]. Gamma-ray-initiated showers then appear as roughly elliptical images on the camera plane.…”

Section: Introductionmentioning

confidence: 99%

First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning

Jacquemont,

Vuillaume,

Benoit

et al. 2021

Preprint

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The Cherenkov Telescope Array is the future of ground-based gamma-ray astronomy. Its first prototype telescope built on-site, the Large Size Telescope 1, is currently under commissioning and taking its first scientific data. In this paper, we present for the first time the development of a full-event reconstruction based on deep convolutional neural networks and its application to real data. We show that it outperforms the standard analysis, both on simulated and on real data, thus validating the deep approach for the CTA data analysis. This work also illustrates the difficulty of moving from simulated data to actual data.

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Section: Introductionmentioning

confidence: 99%

First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning

Jacquemont,

Vuillaume,

Benoit

et al. 2021

Preprint

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“…We discuss the findings of the previous sections in Section 9 and draw conclusions in Section 10. (Canestrari et al 2013;Aguilar et al 2014;Ambrosi 2014;Inome et al 2014;Schlenstedt 2014;Catalano et al 2014;Glicenstein et al 2014;Puehlhofer et al 2015;Rulten et al 2016;Glicenstein and Shayduk, M. for the NectarCam Collaboration and the CTA Consortium 2017; Mazin et al 2017;Sol et al 2017;White, Richard and Schoorlemmer, Harm 2017;Samarai et al 2017). The geometrical mirror area has been corrected for the effect of shadowing by the camera or the secondary mirror for the case of the Schwarzschild-Couder design for on-axis incidence of light, but not for camera support structures and other material elements, like e.g.…”

Section: Introductionmentioning

confidence: 99%

Using Muon Rings for the Calibration of the Cherenkov Telescope Array: A Systematic Review of the Method and Its Potential Accuracy

Gaug

Mitchell

Maccarone

et al. 2019

ApJS

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The analysis of ring images produced by muons in an Imaging Atmospheric Cherenkov Telescope (IACT) provides a powerful and precise method to calibrate the IACT optical throughput and monitor its optical point-spread function (PSF). First proposed by the Whipple collaboration in the early 90's, this method has been refined by the so-called second generation of IACT experiments: H.E.S.S., MAGIC and VERITAS. We review here the progress made with these instruments and investigate the applicability of the method as the primary throughput calibration method for the different telescope types forming the future Cherenkov Telescope Array (CTA). We find several additional systematic effects not yet taken into account by previous authors and propose several new analytical methods to include these in the analysis. Slight modifications in hardware and analysis need to be made to ensure that such a calibration works as accurately as required for the CTA. We derive analytic estimates for the expected muon data rates for optical throughput calibration, camera pixel flat-fielding and monitoring of the optical PSF. The achievable statistical and systematic uncertainties of the method are also assessed.

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Atmospheric monitoring and inter-calibration of the telescope optical throughput efficiencies using the trigger rates of the Cherenkov Telescope Array

Stefanik

Nosek

Reyes

et al. 2019

Astroparticle Physics

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Development of the camera for the large size telescopes of the Cherenkov Telescope Array

Cited by 5 publications

References 4 publications

First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning

First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep Learning

Using Muon Rings for the Calibration of the Cherenkov Telescope Array: A Systematic Review of the Method and Its Potential Accuracy

Atmospheric monitoring and inter-calibration of the telescope optical throughput efficiencies using the trigger rates of the Cherenkov Telescope Array

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