Machine learning: hit time finding with a neural network

Richard Thalmeier,H. Yin,H. Aihara,T. Aziz,S. Bacher,S. Bahinipati,E. Barberio,Ti. Baroncelli,To. Baroncelli,A. K. Basith,Giovanni Batignani,A. Bauer, P. K. Behera,V. Bertacchi,S. Bettarini,B. Bhuyan,T. Bilka,F. Bosi,L. Bosisio,A. Bozek,F. Buchsteiner,G. Caria,G. Casarosa,M. Ceccanti,D. Cervenkov,T. Czank,N. Dash,M. De Nuccio,Z. Doležal,F. Forti,M. Friedl,B. Gobbo,J. A. M. Grimaldo,K. Hara,T. Higuchi,C. Irmler,A. Ishikawa,H. B. Jeon,C. Joo,M. Kaleta,J. Kandra,N. Kambara,K. H. Kang,P. Kodyš,T. Kohriki,S. Koike,I. Komarov,M. Kumar,R. Kumar,W. Kun,P. Kvasnicka,C. La Licata,K. Lalwani,L. Lanceri,J. Y. Lee,S. C. Lee,J. Libby,T. Lueck,P. Mammini,A. Martini,S. N. Mayekar,G. B. Mohanty,T. Morii,K. R. Nakamura,Z. Natkaniec,Y. Onuki,W. Ostrowicz,A. Paladino,E. Paoloni,H. Park,K. Prasanth,A. Profeti,I. Rashevskaya,K. K. Rao,G. Rizzo,P. K. Resmi,M. Rozanska,D. Sahoo,J. Sasaki,N. Sato,S. Schultschik,C. Schwanda,J. Stypula,J. Suzuki,S. Tanaka,H. Tanigawa,G. N. Taylor,T. Tsuboyama,P. Urquijo,L. Vitale,S. Watanuki,M. Watanabe,I. J. Watson,J. Webb,J. Wiechczynski,S. Williams,L. Zani

Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018)（2019）

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Abstract

At the High Energy Accelerator Research Organization (KEK) in Tsukuba, Japan, the double-sided silicon strip sub-detector of the Belle II experiment is read out by 1748 APV25 chips. FPGAs perform several calculations on the digitized signals. One of them will be "Hit Time Finding": the determination of the time and amplitude of the signal peaks of each event in real time using pre-programmed neural networks. This work analyses the possibility, precision and reliability of these calculations depending on various parameters.

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Key words

machine learning,neural network,time

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