10-15 March 2019
Steinmatte conference center
Europe/Zurich timezone

ROOT Based Analysis: From Data to Plots, Expressive, Easy and Fast

11 Mar 2019, 16:30
Steinmatte Plenary

Steinmatte Plenary

Oral Track 1: Computing Technology for Physics Research Track 1: Computing Technology for Physics Research


Lorenzo Moneta (CERN)


During the past two years ROOT's analysis tools underwent a major renovation,
embracing a declarative approach.

This contribution explores the most recent developments of the implementation of
such approach, some real-life examples from LHC experiments as well as present
and future R&D lines.

After an introduction of the tool offering access to declarative analysis,
RDataFrame, the newly introduced syntax for the treatment of collections
is described together with examples concerning the analysis of Open Datasets.
The tooling for visualising and studying computation graphs built with
RDataFrame in the form of diagrams is then presented.

Example real-life analyses based on RDataFrame from collider and non-collider
experiments are then discussed from the programming model and performance

Finally, the status of existing R&D lines as well as future direction is
discussed, most notably the integration of RDataFrame with big data technologies
to distribute interactive calculations on massive computing resources.

Primary authors

Danilo Piparo (CERN) Enric Tejedor Saavedra (CERN) Enrico Guiraud (CERN, University of Oldenburg (DE)) Guilherme Amadio (CERN) Javier Cervantes Villanueva (CERN) Stefan Wunsch (KIT - Karlsruhe Institute of Technology (DE))

Presentation materials