تقرير
Precision-Machine Learning for the Matrix Element Method
| العنوان: | Precision-Machine Learning for the Matrix Element Method |
|---|---|
| المؤلفون: | Heimel, Theo, Huetsch, Nathan, Winterhalder, Ramon, Plehn, Tilman, Butter, Anja |
| سنة النشر: | 2023 |
| المجموعة: | High Energy Physics - Phenomenology |
| مصطلحات موضوعية: | High Energy Physics - Phenomenology |
| الوصف: | The matrix element method is the LHC inference method of choice for limited statistics. We present a dedicated machine learning framework, based on efficient phase-space integration, a learned acceptance and transfer function. It is based on a choice of INN and diffusion networks, and a transformer to solve jet combinatorics. We showcase this setup for the CP-phase of the top Yukawa coupling in associated Higgs and single-top production. Comment: 24 pages, 11 figures, v2: update references |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2310.07752 |
| رقم الأكسشن: | edsarx.2310.07752 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |