Author:
Frederix Rikkert,Torrielli Paolo
Abstract
AbstractWe introduce a new technique, that we dub Born spreading, aimed at reducing the number of negative-weight $${\mathbb {S}}$$
S
events in the MC@NLO matching of NLO calculations with parton-shower simulations. We show that such a technique, based on a re-distribution of Born matrix elements in the radiative phase space, achieves a sizeable reduction of negative-weight events at little computational cost. The method does not induce any biases in physical distributions.
Funder
Compagnia di San Paolo
Swedish Research Council
Italian Ministry of University and Research
Publisher
Springer Science and Business Media LLC
Subject
Physics and Astronomy (miscellaneous),Engineering (miscellaneous)
Reference21 articles.
1. T. Aarrestad, et al., in Snowmass 2021, ed. by P. Canal, et al. (2020). https://doi.org/10.5281/zenodo.4009114
2. ATLAS Software and Computing HL-LHC Roadmap. Tech. rep., CERN, Geneva (2022). https://cds.cern.ch/record/2802918
3. CMS Phase-2 Computing Model: Update Document. Tech. rep., CERN, Geneva (2022). https://cds.cern.ch/record/2815292
4. R. Frederix, S. Frixione, S. Prestel, P. Torrielli, JHEP 07, 238 (2020). https://doi.org/10.1007/JHEP07(2020)238
5. S. Frixione, B.R. Webber, JHEP 06, 029 (2002). https://doi.org/10.1088/1126-6708/2002/06/029