The Scikit HEP Project -- overview and prospects

Abstract

Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python. Scikit-HEP is a toolset of approximately twenty packages and a few "affiliated" packages. It expands the typical Python data analysis tools for particle physicists. Each package focuses on a particular topic, and interacts with other packages in the toolset, where appropriate. Most of the packages are easy to install in many environments; much work has been done this year to provide binary "wheels" on PyPI and conda-forge packages. The Scikit-HEP project has been gaining interest and momentum, by building a user and developer community engaging collaboration across experiments. Some of the packages are being used by other communities, including the astroparticle physics community. An overview of the overall project and toolset will be presented, as well as a vision for development and sustainability.

arXiv comment6 pages, 3 figures, Proceedings of the 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019), Adelaide, Australia, 4-8 November 2019

References in corpus (3)

• Astropy: A Community Python Package for Astronomy
• FastJet user manual
• The Scikit-HEP Project

Cited by in corpus (15)

• The LHCb upgrade I
• FORMOSA: Looking Forward to Millicharged Dark Sectors
• Software and computing for Run 3 of the ATLAS experiment at the LHC
• FLArE up dark sectors with EM form factors at the LHC Forward Physics Facility
• Predictions for Neutrinos and New Physics from Forward Heavy Hadron Production at the LHC
• Investigating the fluxes and physics potential of LHC neutrino experiments
• Search for a long-lived spin-0 mediator in $b\to s$ transitions at the Belle II experiment
• pyBumpHunter: A model independent bump hunting tool in Python for High Energy Physics analyses
• Neutrino Detection without Neutrino Detectors: Discovering Collider Neutrinos at FASER with Electronic Signals Only
• Measurement of the branching fraction ratio $R_K$ at large dilepton invariant mass
• Transport coefficients of transient hydrodynamics for the hadron-resonance gas and thermal-mass quasiparticle models
• Weakly supervised anomaly detection for resonant new physics in the dijet final state using proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
• A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps
• $\beta$-delayed neutron spectroscopy of ${}^{85,86}$As with MONSTER at IGISOL
• KinFit -- A Kinematic Fitting Package for Hadron Physics Experiments