Machine learning: hit time finding with a neural network

Proceedings of Topical Workshop on Electronics for Particle Physics — PoS(TWEPP2018) Pub Date : 2019-05-21 DOI:10.22323/1.343.0065

R. Thalmeier, H. Yin, H. Aihara, T. Aziz, S. Bacher, S. Bahinipati, E. Barberio, T. Baroncelli, T. Baroncelli, A. Basith, G. Batignani, A. Bauer, P. Behera, V. Bertacchi, S. Bettarini, B. Bhuyan, T. Bilka, F. Bosi, L. Bosisio, A. Bozek, F. Buchsteiner, G. Caria, G. Casarosa, M. Ceccanti, D. Červenkov, T. Czank, N. Dash, M. De Nuccio, Z. Doležal, F. Forti, M. Friedl, B. Gobbo, J. Grimaldo, K. Hara, T. Higuchi, C. Irmler, A. Ishikawa, H. Jeon, C. Joo, M. Kaleta, J. Kandra, N. Kambara, K. Kang, P. Kodyš, T. Kohriki, S. Koike, I. Komarov, M. Kumar, R. Kumar, W. Kun, P. Kvasnička, C. La Licata, K. Lalwani, L. Lanceri, J. Lee, S. Lee, J. Libby, T. Lueck, P. Mammini, A. Martini, S. Mayekar, G. Mohanty, T. Morii, K. 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. Resmi, M. Różańska, D. Sahoo, J. Sasaki, N. Sato, S. Schultschik, C. Schwanda, J. Stypuła, J. Suzuki, S. Tanaka, H. Tanigawa, G. Taylor, T. Tsuboyama, P. U

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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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机器学习:用神经网络寻找命中时间

在日本构筑波的高能加速器研究组织(KEK)， Belle II实验的双面硅带子探测器由1748个APV25芯片读出。fpga对数字化信号进行一些计算。其中之一将是“命中时间查找”:使用预编程的神经网络实时确定每个事件的信号峰值的时间和幅度。本文分析了这些计算在不同参数下的可能性、精度和可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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