Enrico Bothmann

TL;DR: Sherpa as discussed by the authors is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments, which is heavily used for event generation in the analysis and interpretation of LHC Run 1 and Run 2 data.

TL;DR: Sherpa as discussed by the authors is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments, which is heavily used for event generation in the analysis and interpretation of LHC Run 1 and Run 2 data.

TL;DR: In this article, the production rates and typical distributions for a number of benchmark Standard Model processes are discussed, and new dynamical phenomena arising at the highest energies available at the collider are discussed.

TL;DR: The proceedings of the 2019 Les Houches workshop on physics at TeV colliders as discussed by the authors dealt with new developments for high precision Standard Model calculations, the sensitivity of parton distribution functions to the experimental inputs, new developments in jet substructure techniques and a detailed examination of gluon fragmentation at the LHC, issues in the theoretical description of the production of Standard Model Higgs bosons and how to relate experimental measurements.

TL;DR: An importance sampling technique capable of overcoming typical deficiencies of existing approaches by incorporating neural networks is proposed, which guarantees full phase space coverage and the exact reproduction of the desired target distribution, in this case given by the squared transition matrix element.