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The Cherenkov Telescopic Array (CTA), the next-generation ground-based gamma-ray observatory, will have unprecedented sensitivity, providing answers to open questions in gamma-ray cosmology and fundamental physics. Using simulations of…

Instrumentation and Methods for Astrophysics · Physics 2021-10-18 Ievgen Vovk , Jonathan Biteau , Humberto Martinez-Huerta , Manuel Meyer , Santiago Pita

The Cherenkov Telescope Array (CTA) is the next-generation stereoscopic system of Imaging Atmospheric Cherenkov Telescopes (IACTs). In IACTs, the atmosphere is used as a calorimeter to measure the energy of extensive air showers induced by…

Instrumentation and Methods for Astrophysics · Physics 2023-06-14 Mario Pecimotika , Dijana Dominis Prester , Dario Hrupec , Saša Mićanović , Lovro Pavletić , Julian Sitarek

The Cherenkov Telescope Array Observatory (CTAO) is going to be the leading observatory for very-high-energy gamma-rays over the next decades. Its unique sensitivity, wide field of view, and rapid slewing capability make the CTAO especially…

The binary systems that have been detected in gamma rays have proven very useful to study high-energy processes, in particular particle acceleration, emission and radiation reprocessing, and the dynamics of the underlying magnetized flows.…

In order to better utilize the information contained in the shower images generated by imaging Cherenkov telescopes (IACTs) equipped with cameras with small pixels, images are fit to a parametrization of image shapes gained from Monte Carlo…

Astrophysics · Physics 2007-05-23 M. Ulrich , A. Daum , G. Hermann , W. Hofmann

We introduce a new Monte Carlo template-based reconstruction method for air shower arrays, with a focus on shower core and energy reconstruction of $\gamma$-ray induced air showers. The algorithm fits an observed lateral amplitude…

Instrumentation and Methods for Astrophysics · Physics 2019-01-09 Vikas Joshi , Jim Hinton , Harm Schoorlemmer , Rubén López-Coto , Robert Parsons

TRopIcal DEep-sea Neutrino Telescope (TRIDENT) is a next-generation neutrino telescope to be located in the South China Sea. With a large detector volume and the use of advanced hybrid digital optical modules (hDOMs), TRIDENT aims to…

High Energy Physics - Experiment · Physics 2024-04-23 Cen Mo , Fuyudi Zhang , Liang Li

Tasks involving the analysis of geometric (graph- and manifold-structured) data have recently gained prominence in the machine learning community, giving birth to a rapidly developing field of geometric deep learning. In this work, we…

Weather Forecasting is an attractive challengeable task due to its influence on human life and complexity in atmospheric motion. Supported by massive historical observed time series data, the task is suitable for data-driven approaches,…

Machine Learning · Computer Science 2022-09-20 Minbo Ma , Peng Xie , Fei Teng , Tianrui Li , Bin Wang , Shenggong Ji , Junbo Zhang

The IceCube Neutrino Observatory is a cubic-kilometer scale neutrino detector embedded in the Antarctic ice of the South Pole. In the near future, the detector will be augmented by extensions, such as the IceCube Upgrade and the planned…

Instrumentation and Methods for Astrophysics · Physics 2021-07-27 Martin Ha Minh

Cherenkov gamma telescope observes high energy gamma rays, taking advantage of the radiation emitted by charged particles produced inside the electromagnetic showers initiated by the gammas, and developing in the atmosphere. The detector…

Computer Vision and Pattern Recognition · Computer Science 2021-11-19 Emmanuel Dadzie , Kelvin Kwakye

The Cherenkov Telescope Array Observatory (CTAO) is a next-generation gamma-ray observatory in both the Southern (Paranal, Chile) and Northern Hemisphere (La Palma, Spain) and will consist of up to 100 imaging atmospheric Cherenkov…

Instrumentation and Methods for Astrophysics · Physics 2025-09-24 Tiffany Collins , Kathrin Egberts , Constantin Steppa , Igor Oya , Dominik Neise

GAW (Gamma Air Watch) is a pathfinder experiment in the TeV range to test the feasibility of a new generation of Imaging Atmospheric Cherenkov Telescopes (IACT). It combines high flux sensitivity with large field-of-view (FoV=24deg x 24deg)…

High Energy Astrophysical Phenomena · Physics 2010-06-14 Luisa Arruda , GAW collaboration

Ground-based atmospheric Cherenkov telescopes are proven to be effective instruments for observations of very high energy (VHE) gamma-radiation from celestial objects. For effective use of such technique one needs detailed Monte Carlo…

Astrophysics · Physics 2009-10-31 A. Konopelko , A. Plyasheshnikov

Machine learning methods have a long history of applications in high energy physics (HEP). Recently, there is a growing interest in exploiting these methods to reconstruct particle signatures from raw detector data. In order to benefit from…

High Energy Physics - Phenomenology · Physics 2022-03-17 Javier Duarte , Jean-Roch Vlimant

The Cherenkov Telescope Array Observatory (CTAO) represents the next-generation gamma-ray observatory and will operate for several decades. It will be particularly suited to analyse transients and variable phenomena, which will trigger…

The Cherenkov Telescope Array (CTA) is the next generation ground-based observatory for gamma-ray astronomy at very-high energies. It will be capable of detecting gamma rays in the energy range from 20 GeV to more than 300 TeV with…

Instrumentation and Methods for Astrophysics · Physics 2019-07-22 Daniel Mazin

Event camera has offered promising alternative for visual perception, especially in high speed and high dynamic range scenes. Recently, many deep learning methods have shown great success in providing promising solutions to many event-based…

Computer Vision and Pattern Recognition · Computer Science 2022-04-06 Ziluo Ding , Rui Zhao , Jiyuan Zhang , Tianxiao Gao , Ruiqin Xiong , Zhaofei Yu , Tiejun Huang

Deployment, operation and maintenance of large IT systems becomes increasingly complex and puts human experts under extreme stress when problems occur. Therefore, utilization of machine learning (ML) and artificial intelligence (AI) is…

Machine Learning · Computer Science 2021-07-30 Dominik Scheinert , Alexander Acker

The Cherenkov Telescope Array (CTA) is the major next-generation observatory for ground-based very-high-energy gamma-ray astronomy. It will improve the sensitivity of current ground-based instruments by a factor of five to twenty, depending…

Instrumentation and Methods for Astrophysics · Physics 2019-04-17 A. Acharyya , I. Agudo , E. O. Angüner , R. Alfaro , J. Alfaro , C. Alispach , R. Aloisio , R. Alves Batista , J. -P. Amans , L. Amati , E. Amato , G. Ambrosi , L. A. Antonelli , C. Aramo , T. Armstrong , F. Arqueros , L. Arrabito , K. Asano , H. Ashkar , C. Balazs , M. Balbo , B. Balmaverde , P. Barai , A. Barbano , M. Barkov , U. Barres de Almeida , J. A. Barrio , D. Bastieri , J. Becerra González , J. Becker Tjus , L. Bellizzi , W. Benbow , E. Bernardini , M. I. Bernardos , K. Bernlöhr , A. Berti , M. Berton , B. Bertucci , V. Beshley , B. Biasuzzi , C. Bigongiari , R. Bird , E. Bissaldi , J. Biteau , O. Blanch , J. Blazek , C. Boisson , G. Bonanno , A. Bonardi , C. Bonavolontà , G. Bonnoli , P. Bordas , M. Böttcher , J. Bregeon , A. Brill , A. M. Brown , K. Brügge , P. Brun , P. Bruno , A. Bulgarelli , T. Bulik , M. Burton , A. Burtovoi , G. Busetto , R. Cameron , R. Canestrari , M. Capalbi , A. Caproni , R. Capuzzo-Dolcetta , P. Caraveo , S. Caroff , R. Carosi , S. Casanova , E. Cascone , F. Cassol , F. Catalani , O. Catalano , D. Cauz , M. Cerruti , S. Chaty , A. Chen , M. Chernyakova , G. Chiaro , M. Cieślar , S. M. Colak , V. Conforti , E. Congiu , J. L. Contreras , J. Cortina , A. Costa , H. Costantini , G. Cotter , P. Cristofari , P. Cumani , G. Cusumano , A. D'Aì , F. D'Ammando , L. Dangeon , P. Da Vela , F. Dazzi , A. De Angelis , V. De Caprio , R. de Cássia dos Anjos , F. De Frondat , E. M. de Gouveia Dal Pino , B. De Lotto , D. De Martino , M. de Naurois , E. de Oña Wilhelmi , F. de Palma , V. de Souza , M. Del Santo , C. Delgado , D. della Volpe , T. Di Girolamo , F. Di Pierro , L. Di Venere , C. Díaz , S. Diebold , A. Djannati-Ataï , A. Dmytriiev , D. Dominis Prester , A. Donini , D. Dorner , M. Doro , J. -L. Dournaux , J. Ebr , T. R. N. Ekoume , D. Elsässer , G. Emery , D. Falceta-Goncalves , E. Fedorova , S. Fegan , Q. Feng , G. Ferrand , E. Fiandrini , A. Fiasson , M. Filipovic , V. Fioretti , M. Fiori , S. Flis , M. V. Fonseca , G. Fontaine , L. Freixas Coromina , S. Fukami , Y. Fukui , S. Funk , M. Füßling , D. Gaggero , G. Galanti , R. J. Garcia López , M. Garczarczyk , D. Gascon , T. Gasparetto , M. Gaug , A. Ghalumyan , F. Gianotti , G. Giavitto , N. Giglietto , F. Giordano , M. Giroletti , J. Gironnet , J. -F. Glicenstein , R. Gnatyk , P. Goldoni , J. M. González , M. M. González , K. N. Gourgouliatos , T. Grabarczyk , J. Granot , D. Green , T. Greenshaw , M. -H. Grondin , O. Gueta , D. Hadasch , T. Hassan , M. Hayashida , M. Heller , O. Hervet , J. Hinton , N. Hiroshima , B. Hnatyk , W. Hofmann , P. Horvath , M. Hrabovsky , D. Hrupec , T. B. Humensky , M. Hütten , T. Inada , F. Iocco , M. Ionica , M. Iori , Y. Iwamura , M. Jamrozy , P. Janecek , D. Jankowsky , P. Jean , L. Jouvin , J. Jurysek , P. Kaaret , L. H. S. Kadowaki , S. Karkar , D. Kerszberg , B. Khélifi , D. Kieda , S. Kimeswenger , W. Kluźniak , J. Knapp , J. Knödlseder , Y. Kobayashi , B. Koch , J. Kocot , N. Komin , A. Kong , G. Kowal , M. Krause , H. Kubo , J. Kushida , P. Kushwaha , V. La Parola , G. La Rosa , M. Lallena Arquillo , R. G. Lang , J. Lapington , O. Le Blanc , J. Lefaucheur , M. A. Leigui de Oliveira , M. Lemoine-Goumard , J. -P. Lenain , G. Leto , R. Lico , E. Lindfors , T. Lohse , S. Lombardi , F. Longo , A. Lopez , M. López , A. Lopez-Oramas , R. López-Coto , S. Loporchio , P. L. Luque-Escamilla , E. Lyard , M. C. Maccarone , E. Mach , C. Maggio , P. Majumdar , G. Malaguti , M. Mallamaci , D. Mandat , G. Maneva , M. Manganaro , S. Mangano , M. Marculewicz , M. Mariotti , J. Martí , M. Martínez , G. Martínez , H. Martínez-Huerta , S. Masuda , N. Maxted , D. Mazin , J. -L. Meunier , M. Meyer , S. Micanovic , R. Millul , I. A. Minaya , A. Mitchell , T. Mizuno , R. Moderski , L. Mohrmann , T. Montaruli , A. Moralejo , D. Morcuende , G. Morlino , A. Morselli , E. Moulin , R. Mukherjee , P. Munar , C. Mundell , T. Murach , A. Nagai , T. Nagayoshi , T. Naito , T. Nakamori , R. Nemmen , J. Niemiec , D. Nieto , M. Nievas Rosillo , M. Nikołajuk , D. Ninci , K. Nishijima , K. Noda , D. Nosek , M. Nöthe , S. Nozaki , M. Ohishi , Y. Ohtani , A. Okumura , R. A. Ong , M. Orienti , R. Orito , M. Ostrowski , N. Otte , Z. Ou , I. Oya , A. Pagliaro , M. Palatiello , M. Palatka , R. Paoletti , J. M. Paredes , G. Pareschi , N. Parmiggiani , R. D. Parsons , B. Patricelli , A. Pe'er , M. Pech , P. Peñil Del Campo , J. Pérez-Romero , M. Perri , M. Persic , P. -O. Petrucci , O. Petruk , K. Pfrang , Q. Piel , E. Pietropaolo , M. Pohl , M. Polo , J. Poutanen , E. Prandini , N. Produit , H. Prokoph , M. Prouza , H. Przybilski , G. Pühlhofer , M. Punch , F. Queiroz , A. Quirrenbach , S. Rainò , R. Rando , S. Razzaque , O. Reimer , N. Renault-Tinacci , Y. Renier , D. Ribeiro , M. Ribó , J. Rico , F. Rieger , V. Rizi , G. Rodriguez Fernandez , J. C. Rodriguez-Ramirez , J. J. Rodríguez Vázquez , P. Romano , G. Romeo , M. Roncadelli , J. Rosado , G. Rowell , B. Rudak , A. Rugliancich , C. Rulten , I. Sadeh , L. Saha , T. Saito , S. Sakurai , F. Salesa Greus , P. Sangiorgi , H. Sano , M. Santander , A. Santangelo , R. Santos-Lima , A. Sanuy , K. Satalecka , F. G. Saturni , U. Sawangwit , S. Schlenstedt , P. Schovanek , F. Schussler , U. Schwanke , E. Sciacca , S. Scuderi , K. Sedlaczek , M. Seglar-Arroyo , O. Sergijenko , K. Seweryn , A. Shalchi , R. C. Shellard , H. Siejkowski , A. Sillanpää , A. Sinha , G. Sironi , V. Sliusar , A. Slowikowska , H. Sol , A. Specovius , S. Spencer , G. Spengler , A. Stamerra , S. Stanič , Ł. Stawarz , S. Stefanik , T. Stolarczyk , U. Straumann , T. Suomijarvi , P. Świerk , T. Szepieniec , G. Tagliaferri , H. Tajima , T. Tam , F. Tavecchio , L. Taylor , L. A. Tejedor , P. Temnikov , T. Terzic , V. Testa , L. Tibaldo , C. J. Todero Peixoto , F. Tokanai , L. Tomankova , D. Tonev , D. F. Torres , G. Tosti , L. Tosti , N. Tothill , F. Toussenel , G. Tovmassian , P. Travnicek , C. Trichard , G. Umana , V. Vagelli , M. Valentino , B. Vallage , P. Vallania , L. Valore , J. Vandenbroucke , G. S. Varner , G. Vasileiadis , V. Vassiliev , M. Vázquez Acosta , M. Vecchi , S. Vercellone , S. Vergani , G. P. Vettolani , A. Viana , C. F. Vigorito , J. Vink , V. Vitale , H. Voelk , A. Vollhardt , S. Vorobiov , S. J. Wagner , R. Walter , F. Werner , R. White , A. Wierzcholska , M. Will , D. A. Williams , R. Wischnewski , L. Yang , T. Yoshida , T. Yoshikoshi , M. Zacharias , L. Zampieri , M. Zavrtanik , D. Zavrtanik , A. A. Zdziarski , A. Zech , H. Zechlin , A. Zenin , V. I. Zhdanov , S. Zimmer , J. Zorn