What Machine Learning Can Do for Focusing Aerogel Detectors

• URL: http://arxiv.org/abs/2312.02652v1
• Date: Tue, 5 Dec 2023 10:46:16 GMT
• Title: What Machine Learning Can Do for Focusing Aerogel Detectors
• Authors: Foma Shipilov, Alexander Barnyakov, Vladimir Bobrovnikov, Sergey Kononov, Fedor Ratnikov
• Abstract summary: Particle identification at the Super Charm-Tau factory experiment will be provided by a Focusing Aerogel Ring Imaging CHerenkov detector (FARICH) The specifics of detector location make proper cooling difficult, therefore a significant number of ambient background hits are captured. In this work we present several approaches to filtering signal hits, inspired by machine learning techniques from computer vision.
• Score: 42.18762603890493
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Particle identification at the Super Charm-Tau factory experiment will be provided by a Focusing Aerogel Ring Imaging CHerenkov detector (FARICH). The specifics of detector location make proper cooling difficult, therefore a significant number of ambient background hits are captured. They must be mitigated to reduce the data flow and improve particle velocity resolution. In this work we present several approaches to filtering signal hits, inspired by machine learning techniques from computer vision.

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