EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)||4|
|Section||4 - Data Organisation, Management and Access|
|Published online||16 November 2020|
Data-centric Graphical User Interface of the ATLAS Event Index Service
Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
2 Joint Institute for Nuclear Research, 6 Joliot-Curie St., Dubna, Moscow Region, 141980, Russia
3 CERN, 1211 Geneva 23, Switzerland
4 Physics Department of the University of Genoa and INFN Sezione di Genova, Via Dodecaneso 33, I-16146 Genova, Italy
5 Instituto de Fisica Corpuscular (IFIC), Centro Mixto Universidad de Valencia CSIC, Valencia, Spain
6 Department of Physics, Oxford University, Oxford, United Kingdom
7 Department of Physics, University of Alberta, Edmonton AB, Canada
* e-mail: Julius.Hrivnac@cern.ch
Copyright 2020 CERN for the benefit of the ATLAS Collaboration. CC-BY-4.0 license.
Published online: 16 November 2020
The Event Index service of the ATLAS experiment at the LHC keeps references to all real and simulated events. Hadoop Map files and HBase tables are used to store the Event Index data, a subset of data is also stored in the Oracle database. Several user interfaces are currently used to access and search the data, from a simple command line interface, through a programmable API, to sophisticated graphical web services. It provides a dynamic graph-like overview of all available data (and data collections). Data are shown together with their relations, like paternity or overlaps. Each data entity then gives users a set of actions available for the referenced data. Some actions are provided directly by the Event Index system, others are just interfaces to different ATLAS services. In many cases, specialized views are offered for detailed data inspection, such as histograms, Venn diagrams, etc.
This paper documents the current status of the service, its features and performance. The future system evolution to the new Event Index architecture based on the Apache Phoenix is also described as well as possible extension to a more general framework for giving a new, more intuitive access to experiment data.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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