2013
DOI: 10.1007/jhep03(2013)015
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Automatic spin-entangled decays of heavy resonances in Monte Carlo simulations

Abstract: We present a general method that allows one to decay narrow resonances in Les Houches Monte Carlo events in an efficient and accurate way. The procedure preserves both spin correlation and finite width effects to a very good accuracy, and is therefore particularly suited for the decay of resonances in production events generated at next-to-leading-order accuracy. The method is implemented as a generic tool in the MadGraph5 framework, giving access to a very large set of possible applications. We illustrate the… Show more

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Cited by 505 publications
(397 citation statements)
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References 42 publications
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“…Events were showered in Pythia [75]. Resonances are decayed using MadSpin [76]. For these benchmark parameters the cross sections and branching ratios are σ(pp → P ) = 74 fb, BR(P → RS) = 0.94, BR(P → gg) = 0.06 , (6.6) consistent with bounds on dijet resonances.…”
Section: A Benchmark Modelmentioning
confidence: 56%
“…Events were showered in Pythia [75]. Resonances are decayed using MadSpin [76]. For these benchmark parameters the cross sections and branching ratios are σ(pp → P ) = 74 fb, BR(P → RS) = 0.94, BR(P → gg) = 0.06 , (6.6) consistent with bounds on dijet resonances.…”
Section: A Benchmark Modelmentioning
confidence: 56%
“…[211], 39 and studied there for top and W decays in the SM, which has been fully automated and extended to generic models in ref. [213]; the corresponding module in the code has been dubbed MadSpin. 40 The method is based on the following identity:…”
Section: Jhep07(2014)079mentioning
confidence: 99%
“…that presented in ref. [213]. The most important of these is that the phasespace generation is now handled by the Fortran code (rather than by a Python routine).…”
Section: Jhep07(2014)079mentioning
confidence: 99%
“…For the parton shower we always use Pythia8 [76]. The fully inclusive phase-space is considered and the tops are kept stable, even though their decays can be considered in a fully automatic way via the MadSpin [77] package allowing further analysis of exclusive and realistic observables. Table 3.…”
Section: Resultsmentioning
confidence: 99%