Year: 2015
Type: preprint
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.
Source: arXiv (Cornell University)
Authors: Berger, Joram, Colombo, Fabio, Friese, Raphael, Haitz, Dominik, Hauth, Thomas, Müller, Thomas, Quast, Günter, Sieber, Georg
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2154237795
