Speaker
Michele Faucci Giannelli
(Edinburgh)
Description
Fast simulation will be a crucial tool for all LHC experiments from Run 3
and especially during HL-LHC. The increase in luminosity will not be
matched by a similar increase in computing resources, therefore fast
simulation will be the only way forward. Fast simulation is already used
by the LHC experiments but it will need to be significantly improved to be
used by all analyses. A possible way forward is to exploit the generative
tool developed by the ML community, in particular GANs.
In this lecture I will present the current state-of-the-art in ATLAS and use it to describe
the challenges faced by this approach. Additional examples will be taken
from another GAN developed to generate and simulate di-jet and top quark
events. While the generation of event is not currently the bottle neck in
the MC production chain, it will soon require significant resources as
new, more precise but also more complex MC generators will be developed.
Keywords:
fast calorimeter simulation, fast event generation, GAN optimisation,
voxalisation, conditioning
