9 citations · 9 across the 2 of their papers we have counts for
3 papers
Loop Amplitudes from Precision Networks
Simon Badger, Anja Butter, Michel Luchmann +2
Evaluating loop amplitudes is a time-consuming part of LHC event generation. For di-photon production with jets we show that simple, Bayesian networks can learn such amplitudes and…
Classification of Fermi-LAT blazars with Bayesian neural networks
Anja Butter, Thorben Finke, Felicitas Keil +2
The use of Bayesian neural networks is a novel approach for the classification of gamma-ray sources. We focus on the classification of Fermi-LAT blazar candidates, which can be div…
Learning from the New Higgs-like Scalar before It Vanishes
Martin Bauer, Anja Butter, Juan Gonzalez-Fraile +2
Motivated by a di-photon anomaly observed by ATLAS and CMS we develop an SFitter analysis for a combined electroweak-Higgs sector, and a scalar portal at the LHC. The theoretical d…