Monte Carlo study of a single SST-1M prototype for the Cherenkov Telescope Array

Monte Carlo study of a single SST-1M prototype for the Cherenkov Telescope Array

The SST-1M telescope was developed as a prototype of a Small-Size-Telescope for the Cherenkov Telescope Array observatory and it has been extensively tested in Krakow since 2017. In this contribution we present validation of the Monte Carlo model of the prototype and expected performance in Krakow c...

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Veröffentlicht in:arXiv.org 2019-07
Hauptverfasser: Jurysek, Jakub, Imen Al Samarai, Alispach, Cyril, Balbo, Matteo, Barbano, Anastasia Maria, Beshley, Vasyl, Biland, Adrian, Blazek, Jiri, Błocki, Jacek, Borkowski, Jerzy, Bulik, Tomek, Frank Raphael Cadoux, Chytka, Ladislav, Coco, Victor, De Angelis, Nicolas, Domenico Della Volpe, Favre, Yannick, Gieras, Tomasz, Grudzińska, Mira, Hamal, Petr, Heller, Mathieu, Hrabovsky, Miroslav, Kasperek, Jerzy, Koncewicz, Katarzyna, Kotarba, Andrzej, Lyard, Etienne, Mach, Emil, Mandat, Dusan, Stanislav Michal, Michalowski, Jerzy, Moderski, Rafal, Montaruli, Teresa, Nagai, Andrii, Neise, Dominik, Niemiec, Jacek, Theodore Rodrigue Njoh Ekoume, Ostrowski, Michal, Palatka, Miroslav, Pasko, Pawel, Pech, Miroslav, Pilszyk, Bartłomiej, Przybilski, Henry, Rajda, Pawel, Renier, Yves, Rozwadowski, Paweł, Schovanek, Petr, Seweryn, K, Sliusar, Vitalii, Smakulska, Dorota, Sobczyńska, Dorota, Stawarz, Łukasz, Świerblewski, Jacek, Świerk, Paweł, Travnicek, Petr, Isaac Troyano Pujadas, Walter, Roland, Wiecek, Marek, Zagdański, Aleksander, Zietara, Krzystof
Format: Artikel
Sprache:eng
Schlagworte:
Arrays
Computer simulation
Machine learning
Prototypes
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Zusammenfassung:The SST-1M telescope was developed as a prototype of a Small-Size-Telescope for the Cherenkov Telescope Array observatory and it has been extensively tested in Krakow since 2017. In this contribution we present validation of the Monte Carlo model of the prototype and expected performance in Krakow conditions. We focus on gamma/hadron separation and mono reconstruction of energy and gamma photon arrival direction using Machine learning methods.
ISSN:2331-8422