Application of Machine Learning methods in high-energy physics

Gábor Bíró, Bence Tanko-Bartalis (2021. 07. – 2021. 09.)
Wigner Research Centre for Physics and Oxford University

Publication: Studying Hadronization by Machine Learning Techniques

Abstract: The main goal of the project is the application of machine learning methods to improve the study of high-energy particle physics. In high-energy physics there are many different numerical simulations that require significant computational resources, such as the Monte Carlo event generators. The development and testing of these algorithms can be greatly improved with machine learning techniques.

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