Systematic event generator tuning for the LHC
(2010) In European Physical Journal C. Particles and Fields 65(1-2). p.331-357- Abstract
- 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... (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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1454225
- author
- Buckley, Andy ; Hoeth, Hendrik LU ; Lacker, Heiko ; Schulz, Holger and von Seggern, Jan Eike
- organization
- publishing date
- 2010
- 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
- 2016-04-01 13:33:53
- date last changed
- 2022-12-11 18:55:00
@article{a05c7997-d901-45ae-b13b-78b3448bdc4a,
abstract = {{Abstract in Undetermined<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}},
doi = {{10.1140/epjc/s10052-009-1196-7}},
volume = {{65}},
year = {{2010}},
}