Speaker
Theo Heimel
(Heidelberg University)
Description
Differentiable programming opens exciting new avenues in particle physics, also affecting future event generators. These new techniques boost the performance of current and planned MadGraph implementations. Combining phase-space mappings with a set of very small learnable flow elements, MadNIS-Lite, can improve the sampling efficiency while being physically interpretable. This defines a third sampling strategy, complementing VEGAS and the full MadNIS.
Track | Detector simulation & event generation |
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Authors
Olivier Mattelaer
(UCLouvain)
Ramon Winterhalder
(Università degli Studi di Milano)
Theo Heimel
(Heidelberg University)
Tilman Plehn