The CERN data-analysis framework on WECORE, served through Open OnDemand: browser notebooks in C++ or Python next to the data, with longer reductions submitted to Slurm from the same session.
ROOT is the data-analysis framework developed at CERN for experimental particle physics. It combines a columnar storage format built for very large event datasets, a histogramming and fitting library, and an interactive C++ interpreter.
PyROOT exposes the same objects to Python, and RDataFrame gives a declarative, implicitly parallel way to express an analysis.
Skim large event datasets down to the variables an analysis needs; RDataFrame expresses the selection declaratively and parallelizes it implicitly.
Fill histograms over full datasets and fit models with ROOT's fitting library.
Produce the figures that end up in publications from the same session that made the histograms.
Wherever a columnar format and a fitting library are needed at scale, ROOT's storage and statistics tools apply.
ROOT is served through Open OnDemand as a browser notebook in C++ or Python, so analysis starts without moving files to a laptop first.
Longer reductions can be submitted to Slurm from the same session, without leaving the analysis environment.
