arXiv:2408.01486·v2·High Energy Physics — Phenomenology
Differentiable MadNIS-Lite
Theo Heimel🇩🇪 · Olivier Mattelaer🇧🇪 · Tilman Plehn🇩🇪 · Ramon Winterhalder🇧🇪
Abstract
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.
Comments: 16 pages, 6 figures