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.
Reconstruction procedure of the fluorescence detector Array of Single-pixel Telescopes (FAST) / Bradfield, F., Albury, J., Bellido, J., Chytka, L., Farmer, J., Fujii, T., Hamal, P., Horvath, P., Hrabovsky, M., Jilek, V., Kmec, J., Kvita, J., Malacari, M., Mandat, D., Mastrodicasa, M., Matthews, J.N., Michal, S., Nagasawa, H., Namba, H., Nozka, L., et al.. - In: POS PROCEEDINGS OF SCIENCE. - ISSN 1824-8039. - 444:(2024), pp. 1-8. (38th International cosmic ray conference, ICRC 2023 Nagoya, Japan ) [10.22323/1.444.0303].
Reconstruction procedure of the fluorescence detector Array of Single-pixel Telescopes (FAST)
Mastrodicasa M.;
2024
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.| File | Dimensione | Formato | |
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