WHIZARD—simulating multi-particle processes at LHC and ILC

By W. Kilian, Thorsten Ohl, J. Reuter. 2007

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We describe the universal Monte-Carlo (parton-level) event generator WHIZARD (http://whizard.event-generator.org), version 2. The program automatically computes complete tree-level matrix elements, integrates them over phase space, evaluates distributions of observables, and generates unweighted partonic event samples. These are showered and hadronized by calling external codes, either automatically from within the program or via standard interfaces. There is no conceptual limit on the process complexity; using current hardware, the program has successfully been applied to hard scattering processes with up to eight particles in the final state. Matrix elements are computed as helicity amplitudes, so spin and color correlations are retained. For event generation, processes can be concatenated with full spin correlation, so factorized approximations to cascade decays are possible when complete matrix elements are not desired. The Standard Model, the MSSM, and many alternative models such as Little Higgs, anomalous couplings, or effects of extra dimensions or noncommutative SM extensions have been implemented. Using standard interfaces to parton shower and hadronization programs, WHIZARD covers physics at hadron, lepton, and photon colliders.

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/3ce18d4c8e3a60da7a7f80ad0fc397f04d338cb9

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In Nuclear and High Energy Physics

Citations in the corpus

Measurement of the differential cross section for top quark pair production in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin} (2015, methodology): “The predicted cross section for the tt +γ sample is obtained by scaling the LO cross section obtained with the WHIZARD event generator [29] by an NLO/LO correction K-factor [30].”
The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations (2014, background): “The number of codes which have been developed, either restricted to leading order (LO henceforth) predictions [38–53], or including NLO capabilities [54–82] is truly staggering.”
Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report (2017, methodology): “Note that Recola has also been recently interfaced to Whizard [549,550].”
UFO - The Universal FeynRules Output (2011, positive): “Its virtue has been illustrated in the context of the CompHep / CalcHep , FeynArts / FormCalc [23], MadGraph/MadEvent , Sherpa and Whizard programs, by implementing several new physics theories in FeynRules and then passing them to the diﬀerent tools for a systematic validation procedure.”
Scattering amplitudes from unitarity-based reduction algorithm at the integrand-level (2010, background): “Leading order (LO) processes are the core of well-established multi-purpose event generators like MadGraph MadEvent [1–3], CompHEP-CalcHEP [4, 5], SHERPA [6, 7], WHIZARD [ 8 ], ALPGEN [9], and HELAC [10, 11], whereas a variety of processes computed at NLO are currently implemented in programs like M”
MadGraph 5: going beyond (2011, methodology): “More recently highly efficiencient multiparton techniques which go beyond usual Feynman diagrams have been introduced [8–11], and implemented in publicly available codes, such as Whizard [ 12 , 13], Alpgen [14], Helac [15] and Comix [16].”
SARAH 4: A tool for (not only SUSY) model builders (2013, methodology): “For SUSY and non-SUSY models the calculated vertices can be used to write model ﬁles for CalcHep / CompHep [20, 21], FeynArts / FormCalc [22, 23], WHIZARD / O’Mega [24, 25] as well as in the UFO format [26] which can be handled for instance by MadGraph 5 [27], GoSam [28] and Herwig++ [29–31].”
Exploring New Models in All Detail with SARAH (2015, methodology): “/ c o n f i g u r e −−help The configure script prints also another import information, namely the name of the model which is used to load it in WHIZARD: . . . ########################################################### c o n f i g u r e : c o l l e c t i n g models #################################”
Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning (2017, background): “Examples include Pythia [142, 143, 144], a pT -ordered dipole shower; Vincia [145, 146, 147], Sherpa [148, 149], Ariadne [150, 151], and DIRE [152], dipole-antenna showers; Herwig++/Herwig7 [153, 154, 155, 156, 157, 158], an angular-ordered dipole shower; Deductor [159, 160, 161, 162, 163, 164, 165]”
Vector boson fusion at multi-TeV muon colliders (2020, neutral): “3] [41] [-13,18] [41] Oφ − −”
FeynRules 2.0 - A complete toolbox for tree-level phenomenology (2013, neutral): “Preprint submitted to Elsevier 13 May 2014”