arXiv · 2312.02652
What Machine Learning Can Do for Focusing Aerogel Detectors
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.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Foma Shipilov, Alexander Barnyakov, Viktor Bobrovnikov, Sergey Kononov, Fedor Ratnikov. 2023-12-05. What Machine Learning Can Do for Focusing Aerogel Detectors. https://arxiv.org/abs/2312.02652
Cite the original work for its findings. Save a collection to share your selection of sources.