Systematic event generator tuning for the LHC

The European Physical Journal C

Hendrik Hoeth¹  Andy Buckley²  Heiko Lacker³  Holger Schulz³  Jan Eike von Seggern³ 

[1] Department of Theoretical Physics, Lund University, Lund, Sweden;Institute for Particle Physics Phenomenology, Durham University, Durham, UK;Physics Department, Berlin Humboldt University, Berlin, Germany;

关键词: Monte Carlo;    DELPHI Collaboration;    Monte Carlo Generator;    Charged Multiplicity;    Minimisation Result;   

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

来源: Springer

【 摘 要 】

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.

【 授权许可】

Unknown