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Towards a coherent Data Life Cycle in Astroparticle Physics

Tokareva, V.; Haungs, A.; Kang, D.; Kostunin, D.; Polgart, F.; Wochele, D.; Wochele, J.

Abstract:
The German-Russian Astroparticle Data Life Cycle Initiative (GRADLCI) aims to develop a data life cycle (DLC), namely a clearly defined and maximally automated data processing pipeline for a combined analysis of data from the experiment KASCADE-Grande (Karlsruhe, Germany) and experiments installed at the Tunka Valley in Russia (TAIGA). The important features of such an astroparticle DLC include scalability for handling large amounts of data, heterogeneous data integration, and exploiting parallel and distributed computing at every possible stage of the data processing. In this work we provide an overview of the technical challenges and solutions worked out so far by the GRADLCI group in the framework of a far-reaching analysis and data center. We will touch the peculiarities of data management in astroparticle physics and employing distributed computing for simulations and physics analyses in this field.

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Verlagsausgabe §
DOI: 10.5445/IR/1000123021
Veröffentlicht am 13.09.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Kernphysik (IKP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1742-6588, 1742-6596
KITopen-ID: 1000123021
HGF-Programm 51.03.04 (POF III, LK 01) Kosmische Strahlung Technologien
Erschienen in Journal of physics / Conference series
Band 1525
Heft 1
Seiten Art. Nr.: 012070
Bemerkung zur Veröffentlichung 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2019; Steinmatte Conference CentreSaas-Fee; Switzerland; 11 March 2019 through 15 March 2019
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