Abstract

We present a novel event generation framework for the efficient simulation of vector boson plus multi-jet backgrounds at the high-luminosity LHC and at possible future hadron colliders. MPI parallelization of parton-level and particle-level event generation and storage of parton-level event information using the HDF5 data format allow us to obtain leading-order merged Monte-Carlo predictions with up to nine jets in the final state. The parton-level event samples generated in this manner correspond to an integrated luminosity of 3ab-1 and are made publicly available for future phenomenological studies.

Highlights

  • The production of a dilepton pair or a lepton-neutrino pair at hadron colliders [1,2] is both one of the most studied and one of the best understood reactions in high-energy physics

  • The production of an additional jet can be described fully exclusively at N2LO accuracy [7,8,9,10,11], and the production of up to five additional jets in lepton-neutrino events can be described [12,13,14] at NLO accuracy, partly in a fully automated fashion [15,16,17,18,19,20]

  • During the integration or event-generation stage, the integral is determined at high precision, and weighted or unweighted events are generated, and possibly stored. Both stages are ideally suited for message passing interface (MPI) parallelization

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Summary

INTRODUCTION

The production of a dilepton pair or a lepton-neutrino pair at hadron colliders [1,2] is both one of the most studied and one of the best understood reactions in high-energy physics. Tree-level matrix element generators [21,22,23,24,25,26,27] are capable of predicting the production rates of a Drell-Yan lepton pair in association with any number of jets, limited only by computing power These predictions can be merged with parton showers [28,29,30,31,32,33,34,35] to create simulations that include the dominant effects of Sudakov resummation and are at the same time leading-order accurate at any jet multiplicity.

EFFICIENT ALGORITHMS FOR HIGHMULTIPLICITY MULTIJET MERGING
General aspects of the simulation
Fixed-order computations
Parton showers and merging
NEW FRAMEWORK FOR MASSIVELY PARALLEL PROCESSING
Global properties
Event-wise properties
NUMERICAL RESULTS
CONCLUSIONS
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