Speaker
Niclas Eich
(RWTH Aachen University (DE))
Description
We present a network for generative modeling of LHC events. We use Lorentz boosts, rotations, momentum and energy conservation to build a network cell generating a 2-body particle decay. We allow for modifications of the resulting four-vectors following a StyleGAN approach. We train the generator using the Lorentz Boost Network as a pre-stage of the critic’s network. We present first evaluations of the generator quality using Drell-Yan processes.
Primary authors
Benjamin Fischer
(RWTH Aachen University (DE))
Martin Erdmann
(RWTH Aachen University (DE))
Niclas Eich
(RWTH Aachen University (DE))
