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SUMMARY:Machine learning for cosmic ray classification at the Carpet-3 exp
 eriment
DTSTART;VALUE=DATE-TIME:20261029T132000Z
DTEND;VALUE=DATE-TIME:20261029T133500Z
DTSTAMP;VALUE=DATE-TIME:20261022T234628Z
UID:indico-contribution-6206@cern.ch
DESCRIPTION:Speakers: Nikita Pozdnukhov (INR RAS)\nWe discuss neural netwo
 rks for cosmic ray classification at the Carpet-3 experiment. We improve g
 amma ray sensitivity and obtain new limits on the isotropic diffuse gamma 
 ray flux from Carpet-3 data\, improving previously obtained results. We al
 so study the possibility of measuring the cosmic ray mass composition at t
 he knee region at the Carpet-3 experiment\, comparing standard reconstruct
 ion methods to machine learning analysis. We address the domain shift betw
 een Monte Carlo simulations and real-world data by with domain adaptation 
 and study its effects on the neural network performance.\n\nhttps://indico
 .particle.mephi.ru/event/626/contributions/6206/
LOCATION:Sevastopol Hotel
URL:https://indico.particle.mephi.ru/event/626/contributions/6206/
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