High dimensional parameter tuning for event generators
arXiv:1908.10811 · doi:10.1140/epjc/s10052-019-7579-5
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 bin wise 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.
arXiv comment13 pages, 10 figures
References in corpus (31)
- PYTHIA 6.4 Physics and Manual
- PYTHIA 6.2 Physics and Manual
- An Introduction to PYTHIA 8.2
- Herwig++ Physics and Manual
- Herwig 7.0 / Herwig++ 3.0 Release Note
- Tuning PYTHIA 8.1: the Monash 2013 Tune
- Rivet user manual
- General-purpose event generators for LHC physics
- SHERPA 1.alpha, a proof-of-concept version
- Systematic event generator tuning for the LHC
- New formalism for QCD parton showers
- Coherent Parton Showers with Local Recoils
- Dipole Showers and Automated NLO Matching in Herwig++
- Study of Charm Production in Z Decays
- Automated Parton-Shower Variations in Pythia 8
- HEPData: a repository for high energy physics data
- Reweighting QCD matrix-element and parton-shower calculations
- QCD Analyses and determinations of alpha-s in e+e- Annihilation at energies between 35 and 189 GeV
- Triple collinear emissions in parton showers
- Implementing NLO DGLAP evolution in Parton Showers
- Leading-color fully differential two-loop soft corrections to QCD dipole showers
- Reweighting Parton Showers
- Baryon production from cluster hadronization
- Improving the Simulation of Quark and Gluon Jets with Herwig 7
- Reweighting a parton shower using a neural network: the final-state case
- Event generator tuning using Bayesian optimization
- Production of f_0(980), f_2(1270) and ϕ(1020) in hadronic Z^0 decay
- Photon and Light Meson Production in Hadronic Z^0 Decays
- Multiplicities of pizero, eta, Kzero and of charged particles in quark and gluon jets
- Kinematic strangeness production in cluster hadronization
- Colour Rearrangement for Dipole Showers
Cited by in corpus (6)
- Challenges in Monte Carlo event generator software for High-Luminosity LHC
- Towards the understanding of heavy quarks hadronization: from leptonic to heavy-ion collisions
- The SAGEX Review on Scattering Amplitudes, Chapter 12: Amplitudes and collider physics
- Extraction of the multiplicity dependence of Multiparton Interactions from LHC pp data using Machine Learning techniques
- A Bayesian tune of the Herwig Monte Carlo event generator
- Monte Carlo Event Generators for Future Lepton Colliders