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What Machine Learning Can Do for Focusing Aerogel Detectors
December 05, 2023 Β· Declared Dead Β· π Physics of Atomic Nuclei
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Foma Shipilov, Alexander Barnyakov, Vladimir Bobrovnikov, Sergey Kononov, Fedor Ratnikov
arXiv ID
2312.02652
Category
hep-ex
Cross-listed
cs.LG
Citations
1
Venue
Physics of Atomic Nuclei
Last Checked
3 months ago
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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