期刊论文详细信息
The European Physical Journal C | |
ExSample—a library for sampling Sudakov-type distributions | |
Simon Plätzer1  | |
[1] DESY, Notkestrasse 85, 22607, Hamburg, Germany; | |
关键词: High Energy Phys; Evolution Variable; Parton Shower; Adaptive Sampling; Momentum Fraction; | |
DOI : 10.1140/epjc/s10052-012-1929-x | |
来源: Springer | |
【 摘 要 】
Sudakov-type distributions are at the heart of generating radiation in parton showers as well as contemporary NLO matching algorithms along the lines of the POWHEG algorithm. In this paper, the C++ library ExSample is introduced, which implements adaptive sampling of Sudakov-type distributions for splitting kernels which are in general only known numerically. Besides the evolution variable, the splitting kernels can depend on an arbitrary number of other degrees of freedom to be sampled, and any number of further parameters which are fixed on an event-by-event basis.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO202112167481758ZK.pdf | 355KB | download |