mfjet

mfjet is a Python package that provides tools for computing Minkowski functionals useful for encoding geometric features of jets appearing in high energy particle colliders.

References

• Neural Network-based Top Tagger with Two-Point Energy Correlations and Geometry of Soft Emissions,
  Amit Chakraborty, Sung Hak Lim, Mihoko M. Nojiri, and Michihisa Takeuchi,
  JHEP 07 (2020) 111, arXiv:2003.11787
• Morphology for Jet Classification,
  Sung Hak Lim, and Mihoko M. Nojiri,
  Phys. Rev. D 105, 014004, arXiv:2010.13469
• Jet Classification Using High-Level Features from Anatomy of Top Jets,
  Amon Furuichi, Sung Hak Lim, and Mihoko M. Nojiri,
  Accepted for publication in JHEP, arXiv:2312.11760

Installation

Development version

pip install git+https://github.com/sunghak-lim/mfjet.git

Requirements

• python >= 3.7
• shapely >= 2.0
• numpy, scipy

Examples

• Example code for computing MFs in Eucildean geometry
• Example code for computing MFs in Manhattan geometry
• Example code for computing MFs of pixellated image

Documentations

• Module documentations

Citing mfjet

Please use this bibtex: (Details to be updated.)

@article{Furuichi:2023vdx,
    author = "Furuichi, Amon and Lim, Sung Hak and Nojiri, Mihoko M.",
    title = "{Jet Classification Using High-Level Features from Anatomy of Top Jets}",
    eprint = "2312.11760",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    month = "12",
    year = "2023"
}

See also

• Hadwiger's theorem and valuations
• Steiner-type formulas
  • (Euclidean geometry) (https://arxiv.org/abs/1207.7276)
  • (Manhattan geometry) (https://arxiv.org/abs/1012.5881)