Systematic event generator tuning for the LHC

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

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28 pages. Submitted to European Physical Journal C. Program sources and extra information are available from http://projects

Scientific paper

10.1140/epjc/s10052-009-1196-7

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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