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))
Henning Bahl
Joaquin Iturriza Ramirez
(Centre National de la Recherche Scientifique (FR))
Tilman Plehn
Víctor Bresó Pla
(University of Heidelberg)