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MINT: a Computer Program for Adaptive Monte Carlo Integration and Generation of Unweighted Distributions
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In this note I illustrate the program MINT, a FORTRAN program for Monte Carlo adaptive integration and generation of unweighted distributions.
Forward citations
Cited by 5 Pith papers
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ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation
ARCANE reweighting adds a carefully designed, zero-average correction to event weights so that positive and negative pathways to the same event cancel, preserving all physical distributions.
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MAcNLOPS for ZZ Pair Production at the LHC
MAcNLOPS is implemented for ZZ production at the LHC, eliminating negative H weights via a shower veto on S events while agreeing with MC@NLO except for small low-pT effects.
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