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Differentiable MadNIS-Lite

Published 2 Aug 2024 in hep-ph, hep-ex, and physics.comp-ph | (2408.01486v2)

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.

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