Accelerating HEP simulations with Neural Importance Sampling

Accelerating HEP simulations with Neural Importance Sampling

Abstract Many high-energy-physics (HEP) simulations for the LHC rely on Monte Carlo using importance sampling by means of the VEGAS algorithm. However, complex high-precision calculations have become a challenge for the standard toolbox, as this approach suffers from poor performance in complex case...

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Bibliographic Details
Main Authors: Nicolas Deutschmann, Niklas Götz
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Journal of High Energy Physics
Subjects:
Automation
Higher-Order Perturbative Calculations
Scattering Amplitudes
Online Access:https://doi.org/10.1007/JHEP03(2024)083

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