Reconstruction procedure of the Fluorescence detector Array of Single-pixel Telescopes (FAST)
Abstract
The Fluorescence detector Array of Single-pixel Telescopes (FAST) is one of several proposed designs for a next-generation cosmic-ray detector. Such detectors will require enormous collecting areas whilst also needing to remain cost-efficient. To meet these demands, the FAST collaboration has designed a simplified, low-cost fluorescence telescope consisting of only four photomultiplier tubes (PMTs). Since standard air shower reconstruction techniques cannot be used with so few PMTs, FAST utilises an alternative two-step approach. In the first step, a neural network is used to provide a first estimate of the true shower parameters. This estimate is then used as the initial guess in a minimisation procedure where the measured PMT traces are compared to simulated ones, and the best-fit shower parameters are found. A detailed explanation of these steps is given, with the expected performance of FAST prototypes at the Telescope Array experiment acting as a demonstration of the technique.
Keywords
Cite
@article{arxiv.2308.11989,
title = {Reconstruction procedure of the Fluorescence detector Array of Single-pixel Telescopes (FAST)},
author = {Fraser Bradfield and Justin Albury and Jose Bellido and Ladislav Chytka and John Farmer and Toshihiro Fujii and Petr Hamal and Pavel Horvath and Miroslav Hrabovsky and Vlastimil Jilek and Jakub Kmec and Jiri Kvita and Max Malacari and Dusan Mandat and Massimo Mastrodicasa and John N. Matthews and Stanislav Michal and Hiromu Nagasawa and Hiroki Namba and Libor Nozka and Miroslav Palatka and Miroslav Pech and Paolo Privitera and Shunsuke Sakurai and Francesco Salamida and Petr Schovanek and Radomir Smida and Daniel Stanik and Zuzana Svozilikova and Akimichi Taketa and Kenta Terauchi and Stan B. Thomas and Petr Travnicek and Martin Vacula},
journal= {arXiv preprint arXiv:2308.11989},
year = {2023}
}
Comments
8 pages, 7 figures, 1 table, Proceedings of the 38th International Cosmic Ray Conference 2023