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Data Aggregation Platform for Experiments ofAstroparticle Physics

Tokareva, Victoria; Haungs, Andreas; Kang, Donghwa; Polgart, Frank; Wochele, Doris; Wochele, Jürgen

Abstract (englisch):
The big data revolution has overturned well-established ap-proaches to data analysis and intensified the demand for access to het-erogeneous data. Modern developed methods allow for the extraction ofnew knowledge from the data, which enables researchers to approachmany previously unsolved mysteries. This trend, observed in many areasof human activity, is also tangible in the field of astroparticle physics.Combined analysis of various experimental data allows researchers toderive deeper insights into the processes occurring in the universe andextend the borders of our knowledge about nature.Providing the infrastructure for such investigations is a topical issue ofthe astroparticle physics community.In this report we examine a service for the aggregated retrieval of hetero-geneous data from distributed storages of numerous astroparticle physicsexperiments. We describe its architecture, available data, principles offunctioning and interaction with users and data centers



Zugehörige Institution(en) am KIT Institut für Kernphysik (IKP)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 21.09.2020
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000124153
HGF-Programm 51.03.04 (POF III, LK 01)
Kosmische Strahlung Technologien
Erschienen in DLC 2020: Data Life Cycle in Physics: Proceedings of the 4th International Workshop on Data Life Cycle in Physics, Moscow, Russia, June 8-10, 2020
Veranstaltung 4th International Workshop on Data Life Cycle in Physics (DLC 2020), online, 08.06.2020 – 10.06.2020
Verlag RWTH, Aachen
Seiten 134-142
Serie CEUR Workshop Proceedings ; Vol. 2679
Bemerkung zur Veröffentlichung Die Veranstaltung fand wegen der Corona-Pandemie als Online-Event statt
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