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1–4 Nov 2022
Rutgers University
US/Eastern timezone

Loop Amplitudes from Precision Networks

3 Nov 2022, 12:30
20m
202ABC (Rutgers University)

202ABC

Rutgers University

Livingston Student Center

Speaker

Tilman Plehn

Description

Evaluating loop amplitudes is a time-consuming part of LHC event generation. I will shown for di-photon production with jets how simple, Bayesian networks can learn such amplitudes and model their uncertainties reliably. A boosted training of the Bayesian network further improves the uncertainty estimate and the network precision in critical phase space regions. In general, boosted network training of Bayesian networks allows us to move between fit-like and interpolation-like regimes of network training.

Authors

Presentation materials