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Andy Buckley, Hendrik Hoeth, Heiko Lacker, Holger Schulz, Jan Eike von
Seggern
Systematic event generator tuning for the LHC
Abstract
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.
LU TP 09-18
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