Project summary
The Scikit-HEP project is a community-driven and community-oriented project with the aim of providing Particle Physics at large with a Python package containing core and common tools. The project started in Autumn 2016 and is presently being prepared for an initial beta release.
The software package defines a set of five pillars, which are seen to embrace all major topics involved in a physicist's work. These are:
- Datasets: data in various sources, such as ROOT, Numpy/Pandas, databases, wrapped in a common interface.
- Aggregations: e.g. histograms that summarize or project a dataset.
- Modeling: data models and fitting utilities.
- Simulation: wrappers for Monte Carlo engines and other generators of simulated data.
- Visualization: interface to graphics engines, from ROOT and Matplotlib to maybe even d3 or plot.ly.
Contributions and contributors from the community are most valuable and are a focus of attention by the start-up team. Further details are to be found under the "Links" section below.
Team
The project started with the following team made of DIANA members collaborating with colleagues from the LHC experiments:
- Vanya Belyaev (ITEP, Moscow - LHCb experiment)
- Noel Dawe (University of Melbourne - ATLAS experiment)
- David Lange (Princeton University - CMS experiment, DIANA)
- Sasha Mazurov (University of Birmingham - LHCb experiment)
- Jim Pivarski (Princeton University - CMS experiment, DIANA)
- Eduardo Rodrigues (University of Cincinnati - DIANA, LHCb experiment)
