GAN based MC event generators

Abstract: MC event generators (MCEG) are crucial for studies in high energy particle reactions. At present, the state-of-the-art MCEG such as Pythia, Herwig involves a mix of theory input and models to describe the complex simulation of particle production of scattering experiments. In this talk I will describe a novel use of GANs to build a pure AI driven MCEG in order to mitigate potential biases from theory input and modeling which are needed for the exploration of hadron structure at existing experimental facilities such as Jefferson Lab, COMPASS at CERN, and the future Electron Ion collider.

artificial intelligencequantum computing and informationhigh energy physicsnuclear physicscomputational physics

Audience: researchers in the discipline

Computer Physics and Quantum Informatics Seminar

Series comments: ul. Podchorążych 2, room 421N ("new buiding")