New Histogram Tools

Monday 15 Apr 2019, 17:30 → 18:30 Europe/Zurich

40/R-B10 (CERN)

This meeting will cover some of the latest tools for Histogramming, primarily in Python. We will cover the mpl-hep project, which is planning to add HEP utilities to matplotlib. We will cover the development of boost-histogram, a backend to Python histogram libraries that was developed on top of the new Boost::Histogram C++14 library, along with the development of the first user-focused Python library to be built on it, "hist". We will also cover the Aghast project, which provides a way to facilitate communication between histogram libraries.

Recorded Meeting Video - https://www.youtube.com/watch?v=BlMl4SGkVnY

17:30 → 17:50 mpl-hep

Additional tools for HEP in matplotlib.

Speaker: Nick Smith (Fermi National Accelerator Lab. (US))

ncsmith-mpl-hep.pdf

17:50 → 18:10 boost-histogram and hist

Development of boost-histogram, Python bindings to the new "Boost::Histogram" C++14 library, and hist, the user-focused library on top of boost-histogram.

Speaker: Henry Fredrick Schreiner (University of Cincinnati (US))

boost-histogram-0.0.1.tar.gz

schreiner-20190415-bhandhist.pdf

18:10 → 18:30 Aghast

Aghast allows communication between different histogram implementations.

Speaker: Jim Pivarski (Princeton University)

pivarski-2019-04-15-irishep-aghast.pdf