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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Top quark pair production at the LHC, with all hadronic resolved decays for solving event combinatorics

Authors: Zoch, Knut; Raine, John Andrew; Ehrke, Lukas; Sengupta, Debajyoti; Guth, Manuel; Golling, Tobias;

Top quark pair production at the LHC, with all hadronic resolved decays for solving event combinatorics

Abstract

R&D Datasets for solving event combinatorics in all hadronic top quark pair events at the LHC. Used in the development of Topographs: Topological Reconstruction of Particle Physics Processes using Graph Neural Networks The datasets contain 5.8M ttbar events in the all hadronic decay channel, with jets matched to the truth partons in the top quark decays. Event generation Centre of Mass energy: 13 TeV MC Generator: MadGraph5_aMC@NLO v3.1.0, with MadSpin modelling the decays of the top quarks and W bosons. Parton Shower: Pythia v .243 Detector response: Delphes v3.4.2 using ATLAS-like geometry Jets reconstructed with anti-kt algorithm, R=0.4, using FastJet b-Tagging corresponds to inclusive 70% b-jet efficiency Event selection and truth matching All events are required to have at least six reconstructed jets and exactly zero leptons (electrons or muons) Partons are matched to jets using \(\Delta R\) matching, with \(\Delta R < 0.4\) Events with partons matched to multiple jets or jets to multiple partons are discarded Up to 16 jets are stored per event In the training dataset 1,340,000 events have all partons from the ttbar decays matched to jets. In the validation dataset, 71,000 events have all partons from the ttbar decays matched to jets. In the testing dataset 76,000 events have all partons from the ttbar decays matched to jets. Dataset format The dataset is in h5 format and the key 'delphes' has the following numpy arrays: jets (16), jets_indices (16), matchability, nbjets, njets, partons (10) Jets structured numpy array per event: (pt, eta, phi, energy, is_tagged) Jets_indices: Integer corresponding to the parton the jet is matched to From 0 to 5: b1 W1j1 W1j2 b2 W2j1 W2j2 (1= from top, 2=from antitop) -1 indicates not matched to a parton Properties of matched partons can be obtained from the partons array matchability: Which partons are matched to jets in event Binary representation with bits corresponding to each parton (length 6) 0b111111 From left to right: b1 W1j1 W1j2 b2 W2j1 W2j2 0b111000 (56) is one top fully matched, 0b000111 (7) is the other top fully matched, 0b111111 (63) is both tops fully matched njets, nbjets: How many jets/bjets in event partons: List of truth particles from ttbar decay: tops, Ws, quarks, ordered by top quark and its decays followed by anti-top and its decays PDGID, pt, eta, phi, mass

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Keywords

jets, machine learning, combinatorics, particle physics, ttbar, top quark, hep

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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