ARTUS - A Framework for Event-based Data Analysis in High Energy Physics

TL;DR

ARTUS is a robust, event-based data-processing framework tailored for large-scale high energy physics experiments, facilitating collaborative analysis with proven efficiency.

Contribution

It introduces a new framework architecture optimized for high energy physics data analysis, addressing collaboration and performance challenges.

Findings

Framework is well-tested and used by multiple analysis groups.

Performance measurements demonstrate efficiency and scalability.

Framework design effectively handles large-scale data processing.

Abstract

ARTUS is an event-based data-processing framework for high energy physics experiments. It is designed for large-scale data analysis in a collaborative environment. The architecture design choices take into account typical challenges and are based on experiences with similar applications. The structure of the framework and its advantages are described. An example use case and performance measurements are presented. The framework is well-tested and successfully used by several analysis groups.