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SUMMARY:Magnetic field approximation for the SPD detector
DTSTART;VALUE=DATE-TIME:20261029T060000Z
DTEND;VALUE=DATE-TIME:20261029T061500Z
DTSTAMP;VALUE=DATE-TIME:20261030T002854Z
UID:indico-contribution-6185@cern.ch
DESCRIPTION:Speakers: Fomenok Dmitry (JINR)\nAccurate knowledge of the mag
 netic field distribution is essential for precise momentum reconstruction 
 of charged particles in the SPD experiment at NICA. Traditional interpolat
 ion of pre-computed field maps becomes computationally expensive for high-
 resolution grids and may be inaccurate in regions with sparse measurements
 .\nA systematic comparative study of machine learning methods for approxim
 ating the three-dimensional magnetic field of the SPD detector is presente
 d. The study covers a broad range of approaches\, including neural network
 s and other algorithms. The magnetic field in this work was constructed us
 ing Monte Carlo simulation.\nThe results are presented and discussed\, wit
 h recommendations for choosing a field approximation method depending on t
 he available data and required precision.\n\nhttps://indico.particle.mephi
 .ru/event/626/contributions/6185/
LOCATION: Conference Hall 3
URL:https://indico.particle.mephi.ru/event/626/contributions/6185/
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