Sprecher
Takuya Yoda
(Kyoto University)
Beschreibung
We provide a simple toy model of machine learning that reconstructs QFT Lagrangians from the data of scattering amplitudes. We evaluate the performance differences that depend on the neural network architecture, and discuss the model's predictive ability for heavy particles that are not explicitly present in law energy scattering data.
Hauptautor
Takuya Yoda
(Kyoto University)
Co-Autor
Koji Hashimoto
(Kyoto University)