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Systematic event generator tuning for the LHC

Andy BuckleyInstitute for Particle Physics Phenomenology, Durham University, Durham, UKHendrik HoethDepartment of Theoretical Physics, Lund University, Lund, SwedenHeiko LackerPhysics Department, Berlin Humboldt University, Berlin, GermanyHolger SchulzPhysics Department, Berlin Humboldt University, Berlin, GermanyJan Eike von SeggernPhysics Department, Berlin Humboldt University, Berlin, Germany

2009en

ABI

Annotatsiya

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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DOI: 10.1140/epjc/s10052-009-1196-7

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