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SUMMARY:Event-Adaptive FARICH Reconstruction under Unknown Dark-Count Rate
 s with a Track-Conditioned Transformer
DTSTART;VALUE=DATE-TIME:20261029T073000Z
DTEND;VALUE=DATE-TIME:20261029T074500Z
DTSTAMP;VALUE=DATE-TIME:20261104T121328Z
UID:indico-contribution-6201@cern.ch
DESCRIPTION:Speakers: Platon Rogozhin (HSE University)\nFocusing aerogel r
 ing-imaging Cherenkov (FARICH) detectors require the reconstruction of spa
 rse photon patterns  in the presence of background caused by a photosensor
  dark count rate.  We present the Track-Conditioned Ring Assignment Transf
 ormer (TCRAT)\, an attention-based model that simultaneously assigns photo
 n hits\, reconstructs the particle velocity\, and performs particle identi
 fication in a FARICH detector.\n\nEach event is represented as an unordere
 d set of pixelized hits. A track-conditioned query identifies hits compati
 ble with the charged-particle trajectory\, while a separate background que
 ry models unassigned hits. The method does not impose a circular or ellipt
 ical ring shape on the photodetector plane\, allowing it to account for an
 gle-dependent distortions caused by refraction at the aerogel-air boundary
 .\n\nThe method was evaluated using simulated single-particle events in th
 e FARICH detector concept for the future Super Charm-Tau Factory\, includi
 ng track and momentum measurement uncertainties and dark-count rates rangi
 ng from zero to 1 MHz/mm². When trained across the full background range 
 without an explicit dark-count-rate input\, TCRAT maintained an RMS90 β r
 esolution of about $(4.6\\times10^{-4})$ and a balanced particle-identific
 ation accuracy of about 94% across the studied noise conditions. Providing
  the dark-count rate explicitly did not improve the reconstruction quality
 \, indicating that the model can infer the relevant background conditions 
 directly from the event hit pattern.\n\nhttps://indico.particle.mephi.ru/e
 vent/626/contributions/6201/
LOCATION: Conference Hall 3
URL:https://indico.particle.mephi.ru/event/626/contributions/6201/
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