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SUMMARY:GAN for prediction of direct photons in longitudinally polarized p
 roton-proton collisions at energy √s = 27 GeV
DTSTART;VALUE=DATE-TIME:20241023T150500Z
DTEND;VALUE=DATE-TIME:20241023T152000Z
DTSTAMP;VALUE=DATE-TIME:20260423T000845Z
UID:indico-contribution-4369@cern.ch
DESCRIPTION:Speakers: Andrey Lobanov (SPbPU)\nA study of direct photon pro
 duction in longitudinally polarized proton-proton collisions presents a va
 luable opportunity to investigate the contribution of gluons to the total 
 proton spin. This contribution is described in terms of a gluon helical di
 stribution function\, $\\Delta g(x)$. An investigation of this function fo
 rms part of the experimental program scheduled for the SPD experiment. The
  extraction of $\\Delta g(x)$ is achieved through the measurement of doubl
 e longitudinal spin asymmetry (DLSA) in direct photon production.\n\nThe s
 tudy of direct photons presents certain challenges. Due to their relative 
 rarity\, it is difficult to distinguish direct photons from those produced
  by other sources. Consequently\, it is challenging to obtain a substantia
 l sample size. One potential solution is the application of generative mac
 hine learning models\, such as generative adversarial networks (GANs). The
  model can be trained to predict the outcome of longitudinally polarized p
 roton-proton collisions without modeling the entire experiment in detail\,
  but only the relevant process.\n\nAs the SPD experiment is still under co
 nstruction\, a PYTHIA8 Monte Carlo generator with polarized NNPDFpol11 was
  selected for testing the potential of using GAN to predict the production
  of direct photons in longitudinally polarized proton-proton collisions.\n
 \nThe present report is devoted to an investigation of the capabilities of
  GAN in predicting the outcomes of direct photon production in both polari
 zed and unpolarized proton-proton collisions at a center-of-mass energy of
  $\\sqrt{s} = 27$ GeV.\n\nWe acknowledge support from Russian Ministry of 
 Education and Science. State assignment for fundamental research (code FSE
 G-2024-0033)\n\nhttps://indico.particle.mephi.ru/event/436/contributions/4
 369/
LOCATION: Petrovskiy 2
URL:https://indico.particle.mephi.ru/event/436/contributions/4369/
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