What Machine Learning Can Do for a Focusing Aerogel Detectors

29 Aug 2023, 10:00
30m
Ether (St. Petersburg, Nevsky 1)

Ether

St. Petersburg, Nevsky 1

Mendeleev hall, Nevsky 1, St. Petersburg

Speaker

Foma Shipilov (HSE University (RU))

Description

Reliable particle identification is a crucial component of modern physics experiments. The use of a Focusing multilayer Aerogel Ring Imaging CHerenkov detector FARICH is under intensive discussion for the SPD detector at NICA. The detector may use both seedless real-time signal finder to produce fast trigger and mitigate noise background, and seeded off-line reconstruction mode for precise identification.

In this presentation we demonstrate our approach to filtering signal hits in the FARICH detector. The approach is inspired by object detection techniques for computer vision. Several ML based approaches to the FARICH reconstruction problem in different settings are also discussed.

Primary authors

Alexander Barniakov (Novosibirsk State University (RU)) Fedor Ratnikov (Yandex School of Data Analysis (RU)) Foma Shipilov (HSE University (RU)) Sergey Kononov (Budker Institute of Nuclear Physics (RU))

Presentation materials