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Cited by 253

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Systematic event generator tuning for the LHC

Open access
Buckley, Andy, Hoeth, Hendrik, Lacker, Heiko, Schulz, Holger, von Seggern, Jan Eike·2010·The European Physical Journal C

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.

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Crossref · 10.1140/epjc/s10052-009-1196-7

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Metadata

Authors
Buckley, A., Hoeth, H., Lacker, H., Schulz, H., & von Seggern, J. E.
Venue
The European Physical Journal C
Published
2009-11-20
Volume
65
Issue
1-2
Pages
331-357
ISSN
  • 1434-6044 (ISSN-L)
  • 1434-6052
OpenAlex
W1998072051
Cited by
253
References
10
FWCI
9.52
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Systematic event generator tuning for the LHC. https://app.cochat.ai/papers/10.1140/epjc/s10052-009-1196-7
The paper
Buckley, A., Hoeth, H., Lacker, H., Schulz, H., & von Seggern, J. E. (2010). Systematic event generator tuning for the LHC. The European Physical Journal C. https://doi.org/10.1140/epjc/s10052-009-1196-7

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.