MadEvent: Automatic event generation with MadGraph

By Fabio Maltoni, Tim Stelzer. 2002

894 citations recorded by the source corpus.

We present a new multi-channel integration method and its implementation in the multi-purpose event generator MadEvent, which is based on MadGraph. Given a process, MadGraph automatically identifies all the relevant subprocesses, generates both the amplitudes and the mappings needed for an efficient integration over the phase space, and passes them to MadEvent. As a result, a process-specific, stand-alone code is produced that allows the user to calculate cross sections and produce unweighted events in a standard output format. Several examples are given for processes that are relevant for physics studies at present and forthcoming colliders.

Subfields: Information Systems and Management, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/47bad043d54bf6be76af1c1a734f94676dd53102

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Citations in the corpus

Les Houches 2013: Physics at TeV Colliders: Standard Model Working Group Report (2014, methodology): “For the process γγ+2 jets, we have compared LO and NLO samples at parton level produced with GoSam+MadGraph/MadDipole/MadEvent to two different showered LO samples, produced with MadGraph or Sherpa.”
ALPGEN, a generator for hard multiparton processes in hadronic collisions (2002, methodology): “Independent work on the merging of parton-level calculations with shower MC’s (for the specific case of PYTHIA) has been pursued by the CompHEP group [27], by the GRACE group [28] and, more recently, in [29, 30, 31].”
MadDM v.3.0: A comprehensive tool for dark matter studies (2018, methodology): “# [36] : pvalue_nonth --> pvalue for the ‘all DM’ scenario”
Search for a light charged Higgs boson in top quark decays in pp collisions at sqrt(s) = 7 TeV (2012, methodology): “Backgrounds tt, W+jets, Z+jets are generated with MADGRAPH 5 [25, 26] interfaced with PYTHIA 6.”
Study of double parton scattering using W + 2-jet events in proton-proton collisions at $ \sqrt{s} $ = 7 TeV (2013, methodology): “From a sample of simulated events generated with MADGRAPH 5 [25, 26] followed by hadronization and parton showering (PS) using the 4C tune [27] of PYTHIA 8 [28], it is found that σeff changes by only 2–3% if an inclusive selection is applied.”
FeynRules 2.0 - A complete toolbox for tree-level phenomenology (2013, neutral): “Preprint submitted to Elsevier 13 May 2014”
UFO - The Universal FeynRules Output (2011, background): “…tree-level matrix-element generators, such as Alpgen [1], Comix [2], CompHep / CalcHep [3,4,5], Helac [6], Herwig [7,8], MadGraph/MadEvent [9,10,11,12,13], Sherpa [14,15], or Whizard [16,17], describing the hard scattering processes where the Beyond the Standard Model (BSM) physics is…”
Scattering amplitudes from unitarity-based reduction algorithm at the integrand-level (2010, methodology): “he q 1q¯ 1 →q 2q¯ 2q 3q¯ 3 amplitude for recalculating the q 1q¯ 1 →q 2¯q 2q 2q¯ 2 amplitude [96] by anti-symmetrizing over the ﬁnal state. We have integrated the virtual matrix element with MadEvent [2,3] and compared the poles of the virtual amplitude to those of the integrated dipoles using MadDi”
General-purpose event generators for LHC physics (2011, methodology): “For higher-multiplicity final states they employ dedicated matrix-element and phase-space generators, such as AlpGen [4], Amegic++ [5], Comix [6], HELAC/PHEGAS [7, 8], MadGraph/MadEvent [9, 10] and Whizard/O’Mega [11, 12], which are either interfaced (see Appendix B.3) or built-in as for the case of”
The Bulk RS KK-gluon at the LHC (2007, methodology): “To study the signal we have simulated the process qq̄ → g(1) → qq̄ using MADGRAPH and MADEVENT [13].”
Herwig++ physics and manual (2008, methodology): “In case files with unweighted events not generated by MadEvent are used, the LesHouchesReader needs to be assigned an event cache to gain information on the event sample.”
The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations (2014, background): “ls, which are independent of each other and can be dealt with in parallel. Such multi-channel technique is irrelevant here, and will be understood in the following. More details can be found in refs. [152,153] and [61]. Implicit in eq. (2.37) are the maps that allow one to construct soft and colline”