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Published May 2, 2019 | Version v0
Dataset Open

Pythia8 Quark and Gluon Jets for Energy Flow

Description

A dataset of quark and gluon jets generated with Pythia 8, originally used in Energy Flow Networks: Deep Sets for Particle Jets and available through the EnergyFlow Python package. Generation parameters are listed below:

  • Pythia 8.226, \(\sqrt{s}=14\,\text{TeV} \)
  • Quarks (uds only) from WeakBosonAndParton:qg2gmZq, gluons from WeakBosonAndParton:qqbar2gmZg with the Z decaying to neutrinos
  • FastJet 3.3.0, anti-ki jets with R=0.4
  • \(p_T^\text{jet}\in[500,550]\,\text{GeV},\,|y^\text{jet} |<1.7\)

Each file is in compressed NumPy format and can be accessed in python using np.load. There are two arrays in each file

  • X: (100000,M,4), exactly 50k quark and 50k gluon jets, randomly sorted, where M is the max multiplicity of the jets in that file (other jets have been padded with zero-particles), and the features of each particle are its pt, rapidity, azimuthal angle, and pdgid.
  • y: (100000,), an array of labels for the jets where gluon is 0 and quark is 1.

If you use this dataset, please cite this Zenodo record as well as the corresponding paper:

  • P. T. Komiske, E. M. Metodiev, J. Thaler, Energy Flow Networks: Deep Sets for Particle Jets, JHEP 01 (2019) 121, arXiv:1810.05165.

The data format is additionally described as part of the EnergyFlow documentation. For the corresponding dataset of Herwig jets, see this Zenodo record.

Files

Files (2.1 GB)

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md5:f5d052f10a79c6e8b9382637aca0ef52
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md5:1157cbace488c70c9dcfc250f3345b06
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Additional details

Related works

Is supplement to
arXiv:1810.05165 (arXiv)

References

  • P. T. Komiske, E. M. Metodiev, J. Thaler, Energy Flow Networks: Deep Sets for Particle Jets, JHEP 01 (2019) 121, arXiv:1810.05165.
  • P. T. Komiske, E. M. Metodiev, EnergyFlow, https://energyflow.network.