Christian Gutschow
(UCL (UK))
14/11/2023, 09:00
Details and recent findings on the performance of heavy-hitter Sherpa setups as used in production e.g. by ATLAS, and discuss new (HPC) workflows, such as HDF5 based parton-level event storage etc
Ramon Winterhalder
(ITP Heidelberg)
14/11/2023, 09:30
We combine machine-learned multi-channel weights with a normalizing flow for importance sampling to improve classical methods for numerical integration. By integrating buffered training for potentially expensive integrands, VEGAS initialization, symmetry-aware channels, and stratified training, we elevate the performance in both efficiency and accuracy of the MadNIS framework. We empirically...
