Lobanov Andrey A.
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AffiliationPeter the Great St. Petersburg Polytechnic University
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Publications
Latest issues
- 2025, Volume 18 Issue 1
- 2024, Volume 17 Issue 4 Full text
- 2024, Volume 17 Issue 3.2 Full text
- 2024, Volume 17 Issue 3.1 Full text
Machine learning models to determine unobservable centrality-related parameter values for a wide range of nuclear systems at the energy of 200 GeV
- Year: 2023
- Volume: 16
- Issue: 2
- 75
- 2990
- Pages: 111-120
Machine learning models to find unobservable centrality-related parameter values in collisions of different nuclei in the initial energy range from 40 to 200 GeV
- Year: 2023
- Volume: 16
- Issue: 2
- 32
- 2693
- Pages: 121-131
A generator of deep inelastic lepton-proton scattering based on the Generative-Adversarial Network (GAN)
- Year: 2023
- Volume: 16
- Issue: 4
- 43
- 2136
- Pages: 181-188
Simulation of semi-inclusive deep inelastic lepton scattering on a proton at energies of 20 – 100 GeV on the basis of the Generative-Adversarial Neural Network
- Year: 2023
- Volume: 16
- Issue: 4
- 40
- 2101
- Pages: 189-197
A generative adversarial network as the basis for a semi-inclusive deep inelastic lepton scattering generator on a polarized proton
- Year: 2024
- Volume: 17
- Issue: 1
- 72
- 1862
- Pages: 93-102
Direct photon asymmetries in the longitudinally polarized proton-proton collisions at an energy of 27 GeV
- Year: 2025
- Volume: 18
- Issue: 1
- 0
- 17
- Pages: 142-148