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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

What Machine Learning Can Do for a Focusing Aerogel Detectors

Not scheduled
1h
Hampton Roads Ballroom and Foyer Area (Norfolk Waterside Marriott)

Hampton Roads Ballroom and Foyer Area

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Poster Poster Poster Session

Speaker

Ratnikov, Fedor (HSE University)

Description

Particle identification at the Super Charm-Tau factory experiment will be provided by a Focusing multilayer Aerogel Ring Imaging CHerenkov detector FARICH. Due to hardware constraints the detector captures a great amount of noise which must be mitigated to reduce both a data flow and further storage space.

In this presentation we present our approach to filtering signal hits. 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.

Consider for long presentation No

Primary authors

Shipilov, Foma (HSE University) Barnyakov, Alexander (Novosibirsk State Technical University) Kononov, Sergey (Novosibirsk State Technical University) Ratnikov, Fedor (HSE University)

Presentation materials

Peer reviewing

Paper