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Systematic event generator tuning for the LHC

Buckley, Andy; Hoeth, Hendrik LU ; Lacker, Heiko; Schulz, Holger and von Seggern, Jan Eike (2010) In European Physical Journal C. Particles and Fields 65(1-2). p.331-357
Abstract (Swedish)
Abstract in Undetermined

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... (More)
Abstract in Undetermined

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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
European Physical Journal C. Particles and Fields
volume
65
issue
1-2
pages
331 - 357
publisher
Springer
external identifiers
  • wos:000272912700024
  • scopus:75849119666
ISSN
1434-6044
DOI
10.1140/epjc/s10052-009-1196-7
language
English
LU publication?
yes
id
a05c7997-d901-45ae-b13b-78b3448bdc4a (old id 1454225)
alternative location
http://arxiv.org/abs/0907.2973
date added to LUP
2009-08-05 17:27:28
date last changed
2018-07-15 03:47:13
@article{a05c7997-d901-45ae-b13b-78b3448bdc4a,
  abstract     = {<b>Abstract in Undetermined</b><br/><br>
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.},
  author       = {Buckley, Andy and Hoeth, Hendrik and Lacker, Heiko and Schulz, Holger and von Seggern, Jan Eike},
  issn         = {1434-6044},
  language     = {eng},
  number       = {1-2},
  pages        = {331--357},
  publisher    = {Springer},
  series       = {European Physical Journal C. Particles and Fields},
  title        = {Systematic event generator tuning for the LHC},
  url          = {http://dx.doi.org/10.1140/epjc/s10052-009-1196-7},
  volume       = {65},
  year         = {2010},
}