# The Scikit-HEP Project

**Authors:** Eduardo Rodrigues

arXiv: 1905.00002 · 2019-10-02

## TL;DR

The Scikit-HEP project aims to develop a comprehensive Python toolkit for particle physics analysis, fostering community collaboration and integrating core analysis tools across experiments.

## Contribution

It introduces a unified, community-driven Python library that consolidates key particle physics analysis tools inspired by scikit-learn and Astropy.

## Key findings

- Development of core analysis tools for datasets, modeling, and visualization.
- Community engagement across multiple experiments.
-  Improved discoverability and usability of analysis tools.

## Abstract

The Scikit-HEP project is a community-driven and community-oriented effort with the aim of providing Particle Physics at large with a Python scientific toolset containing core and common tools. The project builds on five pillars that embrace the major topics involved in a physicist's analysis work: datasets, data aggregations, modelling, simulation and visualisation. The vision is to build a user and developer community engaging collaboration across experiments, to emulate scikit-learn's unified interface with Astropy's embrace of third-party packages, and to improve discoverability of relevant tools.

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/1905.00002/full.md

## References

18 references — full list in the complete paper: https://tomesphere.com/paper/1905.00002/full.md

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Source: https://tomesphere.com/paper/1905.00002