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PyPI platforms GitHub Discussion Scikit-HEP

Official FastJet bindings to Python and Awkward Array.

Main features of Fastjet:

  • Contains Vectorized, Out-of-core Vectorized (dask), as well as Non-Vectorized interface for Fastjet.
  • Compiled against the complete Fastjet library in C++.
  • Has Awkward Array, Vector, and optionally Dask as dependencies.
  • Provides the functionality to cluster multiple events at a time.
  • Input data can be in any coordinate system.

Installation

The package can be installed from PyPI using the following command:

python -m pip install fastjet

Tutorial

For a tutorial please look at the tutorial section of readthedocs page of this package.



Installation For Developers

Clone this repository recursively to get the dependencies.

git clone --recursive https://github.com/scikit-hep/fastjet.git

Build dependencies

There are still external build-time dependencies for the C++ components of fastjet that need to be installed on the build machine. To install the build-time dependencies run the following installation commands for your respective operating system:

Debian/Ubuntu

sudo apt-get update && sudo apt-get install -y libboost-dev libmpfr-dev libgmp-dev swig autoconf libtool

Build and install

Then you can build it using the following command:

python -m pip install '.[test]'

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Jet-finding in the Scikit-HEP ecosystem.

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  • Python 77.0%
  • C++ 23.0%