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.
- 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
pip install git+https://github.com/sunghak-lim/mfjet.git
- Example code for computing MFs in Eucildean geometry
- Example code for computing MFs in Manhattan geometry
- Example code for computing MFs of pixellated image
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"
}- Hadwiger's theorem and valuations
- Steiner-type formulas
- (Euclidean geometry) (https://arxiv.org/abs/1207.7276)
- (Manhattan geometry) (https://arxiv.org/abs/1012.5881)