Speaker
Joaquin Iturriza Ramirez
(Centre National de la Recherche Scientifique (FR))
Description
Fast and precise evaluations of scattering amplitudes even in the case of precision calculations is essential for event generation tools at the HL-LHC. We explore the scaling behavior of the achievable precision of neural networks in this regression problem for multiple architectures, including a Lorentz symmetry aware multilayer perceptron and the L-GATr architecture. L-GATr is equivariant with respect to the Lorentz group by its internal embedding living in the geometric algebra defined by the flat space-time metric. This study addresses in particular the scaling behavior of uncertainty estimations using state of the art methods.
Authors
Anja Butter
(Centre National de la Recherche Scientifique (FR))
Prof.
Bertrand Laforge
(LPNHE - Sorbonne Université (FR))
Henning Bahl
Joaquin Iturriza Ramirez
(Centre National de la Recherche Scientifique (FR))
Tilman Plehn
Víctor Bresó Pla
(University of Heidelberg)