Event reconstruction for multi-lepton final-state processes at the LHC
We present a set of simulated datasets for developing and benchmarking event reconstruction techniques for processes with multiple final-state leptons at the LHC. Introduction The dataset comprises four physics processes: top-quark pair production ($tt$), top-quark pair production
We present a set of simulated datasets for developing and benchmarking event reconstruction techniques for processes with multiple final-state leptons at the LHC.
Introduction
The dataset comprises four physics processes: top-quark pair production ($tt$), top-quark pair production in association with a $W$ boson ($ttW^$), Higgs boson production via vector boson fusion with decay to a pair of $W$ bosons (VBF $H W^ W^*$), and electroweak vector boson scattering of a same-sign $W$ boson pair (VBS $W^ W^$). A pre-selection is applied to retain only events with two charged leptons in the final state. Both detector-level and generator-level truth information is provided. For each process, the dataset is split into training, validation, and test subsets. These datasets are intended to support the development of machine-learning-based and classical event reconstruction algorithms in processes with multi-lepton final states.
Production
Simulation
Simulated event samples for the four physics processes considered in this dataset are generated at a centre-of-mass energy of $s = 13$ TeV, without pileup overlay. The hard scatter matrix elements are evaluated at next-to-leading-order (NLO) accuracy in quantum chromodynamics (QCD) and leading-order (LO) accuracy in the electroweak (EW) coupling using the MadGraph5_aMC@NLO framework (v3.5.7-LTS). The NLO five-flavour scheme parton distribution function (PDF) set of NNPDF3.0nlo is used. Heavy resonance decays (top quarks, Higgs and $W$ bosons) are performed with MadSpin to preserve spin correlations. Parton showering and hadronisation are performed with Pythia8, and the detector response is simulated using Delphes with the ATLAS detector card. Jets are defined using the anti-$k_T$ algorithm as implemented in FastJet, with a radius parameter of $R = 0.4$.
Event Selection
All four processes require exactly two charged leptons with either opposite-sign (OS) or same-sign (SS) electric charge, along with process-dependent jet and $b$-tagged jet multiplicity requirements. No explicit requirement is applied on the missing transverse energy.
The full set of selection criteria is summarized in table:
| Process ID | Process | Lepton Requirement | Jet Requirement |
| 1 | $tt$ | $N_ lep=2$, Opposite-Sign (OS) | $N_ jet 2$ and $N_ b-jet 2$ |
| 2 | $ttW$ | $N_ lep=2$, Same-Sign (SS) | $N_ jet 4$ |
| 3 | VBF $H WW^*$ | $N_ lep=2$, Opposite-Sign (OS) | $N_ jet 2$ |
| 4 | VBS $WW$ | $N_ lep=2$, Same-Sign (SS) | $N_ jet 2$ |
Dataset Composition
Files
For each physic
📤 Share this page
Found this useful? Share it with your network.
Files are hosted on the source repository. Click download to access the full dataset.