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Leading-colour-based unweighted event generation for multi-parton tree-level processes
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Leading-colour-based unweighted event generation for multi-parton tree-level processes
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In this work, we revisit unweighted event generation for multi-parton tree-level processes in massless QCD. We introduce a two-step approach, in which initially unweighted events are generated at leading-colour (LC) accuracy, followed by a reweighting of these events to full-colour (FC) accuracy and applying an additional unweighting cycle. This method leverages the simple structure of LC integrands, enabling optimized phase-space parameterisations and resulting in high primary unweighting efficiencies, ranging from the percent level for $2 \to 4$ processes to the per-mille level for $2 \to 7$ processes. Given that the LC-accurate matrix elements closely approximate the FC-accurate ones, the secondary unweighting efficiencies exceed 50%. Our results suggest that this two-step approach offers an efficient alternative to direct event generation at FC accuracy.
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Cited by 1 Pith paper
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MadSpace -- Event Generation for the Era of GPUs and ML
MadSpace is a GPU-native compute-graph event-generation library that matches MadGraph LO physics in validation and introduces the analytic FastRambo phase-space mapping.
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