Research output

  1. Neural network approach to impact parameter estimation in high-energy collisions using the microchannel plate detector data

    Research output: Contribution to journal › Article › peer-review

  2. Artificial Neural Networks Application in Estimating the Impact Parameter in Heavy Ion Collisions Using the Microchannel Plate Detector Data

    Research output: Contribution to journal › Article › peer-review

  3. Application of Neural Networks for Event-by-Event Evaluation of the Impact Parameter

    Research output: Contribution to journal › Article › peer-review

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Projects

  1. Моделирование современных экспериментов в физике высоких энергий и разработка технологии производства новых сверхлегких материалов для детекторных комплексов: 2024 г. этап 4

    Project: Grant fulfilment › Grant stage fulfilment

  2. Моделирование современных экспериментов в физике высоких энергий и разработка технологии производства новых сверхлегких материалов для детекторных комплексов: 2023 г. этап 3

    Project: Grant fulfilment › Grant stage fulfilment

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Activities

  1. Application of neural networks in rapid estimation of the impact parameter of high-energy collisions from data obtained from microchannel plates detector.

    Activity: Conference talk types › Oral presentation

  2. The 7th International Conference on Deep Learning in Computational Physics

    Activity: Conference talk types › Oral presentation

  3. Artificial neural networks application in estimating the impact parameter in heavy ion collision using the microchannel plate detector data

    Activity: Conference talk types › Oral presentation

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ID: 28943374