The MadNIS Reloaded

التفاصيل البيبلوغرافية
العنوان: The MadNIS Reloaded
المؤلفون: Heimel, Theo, Huetsch, Nathan, Maltoni, Fabio, Mattelaer, Olivier, Plehn, Tilman, Winterhalder, Ramon
المصدر: SciPost Phys. 17, 023 (2024)
سنة النشر: 2023
المجموعة: High Energy Physics - Experiment
High Energy Physics - Phenomenology
Physics (Other)
مصطلحات موضوعية: High Energy Physics - Phenomenology, High Energy Physics - Experiment, Physics - Computational Physics
الوصف: In pursuit of precise and fast theory predictions for the LHC, we present an implementation of the MadNIS method in the MadGraph event generator. A series of improvements in MadNIS further enhance its efficiency and speed. We validate this implementation for realistic partonic processes and find significant gains from using modern machine learning in event generators.
Comment: 15 pages, 6 figures, 2 tables; v3: updates incl. referee requests
نوع الوثيقة: Working Paper
DOI: 10.21468/SciPostPhys.17.1.023
URL الوصول: http://arxiv.org/abs/2311.01548
رقم الأكسشن: edsarx.2311.01548
قاعدة البيانات: arXiv
الوصف
DOI:10.21468/SciPostPhys.17.1.023