2014
DOI: 10.1007/jhep07(2014)079
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The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

Abstract: We discuss the theoretical bases that underpin the automation of the computations of tree-level and next-to-leading order cross sections, of their matching to parton shower simulations, and of the merging of matched samples that differ by light-parton multiplicities. We present a computer program, MadGraph5 aMC@NLO, capable of handling all these computations -parton-level fixed order, shower-matched, merged -in a unified framework whose defining features are flexibility, high level of parallelisation, and huma… Show more

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Cited by 6,210 publications
(5,840 citation statements)
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References 337 publications
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“…[41] that modify tt production. For each of the proposed beyond standard model (BSM) benchmarks, we produce a tt MC sample using the madgraph [42] generator interfaced to pythia 6.4 for showering and hadronization, and the cteq6l1 PDFs. The Z ′ boson model proposed in Ref.…”
Section: B Beyond Standard Model Benchmarksmentioning
confidence: 99%
“…[41] that modify tt production. For each of the proposed beyond standard model (BSM) benchmarks, we produce a tt MC sample using the madgraph [42] generator interfaced to pythia 6.4 for showering and hadronization, and the cteq6l1 PDFs. The Z ′ boson model proposed in Ref.…”
Section: B Beyond Standard Model Benchmarksmentioning
confidence: 99%
“…We generate the signal and background events at the parton level using MadGraph 5 [64,65] with CTEQ6L1 parton distribution functions (PDF) [66]. For signal events, we generate pp → ϕ + nj to n=1.…”
Section: Hh Channelmentioning
confidence: 99%
“…The MC simulation of signal and background processes is used to optimize the selection criteria, estimate uncertainties, and study the shapes of the signal and background diphoton invariant mass (m γγ ) distributions. Signal events from Z 0 B , Z 0 -2HDM, and the heavy-scalar models are generated using MADGRAPH_AMC@NLO 2.2.3 [20] at LO in quantum chromodynamics (QCD) using the NNPDF3.0LO [21] parton distribution function (PDF) set. Parton showering and hadronization are handled by the PYTHIA 8.186 [22] event generator with the A14 [23] set of tuned parameters (tune), using the NNPDF2.3LO PDF set [24].…”
Section: Data and Simulation Samplesmentioning
confidence: 99%