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SUMMARY:What Machine Learning can do for a Focusing Aerogel Detectors
DTSTART;VALUE=DATE-TIME:20221201T100000Z
DTEND;VALUE=DATE-TIME:20221201T101500Z
DTSTAMP;VALUE=DATE-TIME:20260719T191136Z
UID:indico-contribution-3378@cern.ch
DESCRIPTION:Speakers: Foma Shipilov ()\, Fedor Ratnikov (NRU Higher School
  of Economics)\nParticle identification at the Super Charm-Tau factory exp
 eriment will be provided by a Focusing multilayer Aerogel\nring imaging Ch
 erenkov detector FARICH. Due to hardware constraints the detector captures
  a great amount of noise\nwhich must be mitigated to reduce both a data fl
 ow and  further storage space.\nIn this presentation we present our approa
 ch to filtering signal hits. The approach is inspired by object detection\
 ntechniques for computer vision. Several ML based approaches to the FARICH
  reconstruction problem in different settings\nare also discussed.\n\nhttp
 s://indico.particle.mephi.ru/event/275/contributions/3378/
LOCATION:Hotel Intourist Kolomenskoye 4* Hall
URL:https://indico.particle.mephi.ru/event/275/contributions/3378/
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