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Search: WFRF:(Gellersen Leif) > (2020)

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  • Bellm, Johannes, et al. (author)
  • High dimensional parameter tuning for event generators
  • 2020
  • In: European Physical Journal C. - : Springer Science and Business Media LLC. - 1434-6044 .- 1434-6052. ; 80:1
  • Journal article (peer-reviewed)abstract
    • Monte Carlo Event Generators are important tools for the understanding of physics at particle colliders like the LHC. In order to best predict a wide variety of observables, the optimization of parameters in the Event Generators based on precision data is crucial. However, the simultaneous optimization of many parameters is computationally challenging. We present an algorithm that allows to tune Monte Carlo Event Generators for high dimensional parameter spaces. To achieve this we first split the parameter space algorithmically in subspaces and perform a Professor tuning on the subspaces with binwise weights to enhance the influence of relevant observables. We test the algorithm in ideal conditions and in real life examples including tuning of the event generators Herwig 7 and Pythia 8 for LEP observables. Further, we tune parts of the Herwig 7 event generator with the Lund string model.
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2.
  • Gellersen, Leif, et al. (author)
  • Scale and scheme variations in unitarized NLO merging
  • 2020
  • In: Physical Review D. - 2470-0010. ; 101:11
  • Journal article (peer-reviewed)abstract
    • Precision background predictions with well-defined uncertainty estimates are important for interpreting collider-physics measurements and for planning future high-energy collider experiments. It is especially important to estimate the perturbative uncertainties in predictions of inclusive measurements of jet observables, that are designed to be largely insensitive to non-perturbative effects such as the structure of beam remnants, multiparton scattering, or hadronization. In this study, we discuss possible pitfalls in defining the perturbative uncertainty of unitarized next-to-leading order (NLO) multijet merged predictions, using the pythia event generator as our vehicle. For this purpose, we consider different choices of unitarized NLO merging schemes as well as consistent variations of renormalization scales in different parts of the calculation. Such a combined discussion allows to rank the contribution of scale variations to the error budget in comparison to other contributions due to algorithmic choices that are often assumed fixed. The scale uncertainty bands of different merging schemes largely overlap, but differences between the "central" predictions in different schemes can remain comparable to scale uncertainties even for very well-separated jets, or be larger than scale uncertainties in transition regions between calculations of different jet multiplicity. The availability of these variations within pythia will enable more systematic studies of perturbative uncertainties in precision background calculations in the future.
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  • Result 1-2 of 2
Type of publication
journal article (2)
Type of content
peer-reviewed (2)
Author/Editor
Gellersen, Leif (2)
Prestel, Stefan (1)
Bellm, Johannes (1)
University
Lund University (2)
Language
English (2)
Research subject (UKÄ/SCB)
Natural sciences (2)
Year

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