Abstract
We perform a detailed study of the sources of perturbative uncertainty in parton shower predictions within the Herwig 7 event generator. We benchmark two rather different parton shower algorithms, based on angular-ordered and dipole-type evolution, against each other. We deliberately choose leading order plus parton shower as the benchmark setting to identify a controllable set of uncertainties. This will enable us to reliably assess improvements by higher-order contributions in a follow-up work.
Highlights
General purpose Monte Carlo (MC) event generators [1,2,3,4,5,6] are central to both theoretical and experimental collider physics studies
Various ambiguities and sources of uncertainty have been addressed within the context of other multi-purpose event generators as well; in particular recoil schemes [55,56] and parton distribution functions (PDF) [57,58,59] have so far been considered, both for pure showers and in the context of matched or merged samples, see e.g. [60,61,62]
For any general purpose event generator that is based on both perturbative input and phenomenological models, there are a number of different sources of uncertainty to be addressed:
Summary
General purpose Monte Carlo (MC) event generators [1,2,3,4,5,6] are central to both theoretical and experimental collider physics studies Recent development of these simulations has seen improvements in various areas, both within perturbative calculations, through matching to fixed order [2,7,8,9,10,11,12,13,14,15], combining higher jet multiplicities [16,17,18,19,20,21,22], as well as the all-order resummation with parton showers [23,24,25,26] and within the non-perturbative, phenomenological models [27,28].
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