期刊
EUROPEAN PHYSICAL JOURNAL C
卷 65, 期 1-2, 页码 331-357出版社
SPRINGER
DOI: 10.1140/epjc/s10052-009-1196-7
关键词
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资金
- Science and Technology Facilities Council [PP/E00699X/1] Funding Source: researchfish
- STFC [PP/E00699X/1] Funding Source: UKRI
In this article we describe Professor, a new program for tuning model parameters of Monte Carlo event generators to experimental data by parameterising the per-bin generator response to parameter variations and numerically optimising the parameterised behaviour. Simulated experimental analysis data is obtained using the Rivet analysis toolkit. This paper presents the Professor procedure and implementation, illustrated with the application of the method to tunes of the Pythia 6 event generator to data from the LEP/SLD and Tevatron experiments. These tunes are substantial improvements on existing standard choices, and are recommended as base tunes for LHC experiments, to be themselves systematically improved upon when early LHC data is available.
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