BEACH2022

Session

Poster session

Jun 7, 2022, 2:40 PM

1.20 (D-17)

62. Angular analysis of $B_{d}^{0} \to K^{*}\mu\mu$ decays at ATLAS

Martin Sykora (Prague CU)

6/7/22, 2:40 PM

The large amount of Heavy Flavour data collected by the ATLAS experiment is potentially sensitive to New Physics, which could be evident in processes that are
naturally suppressed in the Standard Model. The result of the angular distribution parameters describing the decay $B_d^0 \to K^{*0}\mu^+\mu^- \to K^+\pi^-\mu^+\mu^-$ based on full Run-1 data is presented.

74. Multiplication of simulated events using Machine Learning Technique

Wojciech Krupa (AGH University of Science and Technology), Mr Sowa Karol (AGH UST Krakow)

6/7/22, 3:00 PM

Nowadays, simulated data, are commonly used in modern high-energy physics experiments. They are used not only for determining certain performance but also in training machine learning algorithms. Generating data, especially rare heavy meson decays, requires enormous computational resources. To simplify this process, we propose a new method to replicate simulated data using existing samples....

84. A modern machine learning approach to statistical estimation for particle mass modeling

Pawel Kopciewicz (AGH), Mr Michał Kacprzak

6/7/22, 3:20 PM

The poster gives an overview of possible new methods in statistical estimation, an alternative to maximum likelihood methods and originating from computational intelligence. Recent advances in the machine learning field, such as Generative Adversarial Networks (GAN), are mentioned, along with their potential role in mass spectrum modeling.