9-13 July 2018
Sofia, Bulgaria
Europe/Sofia timezone

The Scikit-HEP project

9 Jul 2018, 11:30
Hall 9 (National Palace of Culture)

Hall 9

National Palace of Culture

presentation Track 6 – Machine learning and physics analysis T6 - Machine learning and physics analysis


Eduardo Rodrigues (University of Cincinnati (US))


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. The Scikit-HEP toolset is comprised of the scikit-hep package and numerous third-party “affiliated” packages. These affiliated packages include well-known packages such as root_numpy and root_pandas, but also newer packages that add functionality such as reading ROOT files natively, and interfaces between NumPy and Pythia or FastJet. The project's website is http://scikit-hep.org/ and the GitHub repositories are at https://github.com/scikit-hep. An overview of the overall project, toolset, and main functionality, will be presented.

Primary author

Eduardo Rodrigues (University of Cincinnati (US))

Presentation Materials