Aachen 2019 – wissenschaftliches Programm

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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 3: Machine-learning methods and computing in astroparticle physics

AKPIK 3.8: Vortrag

Mittwoch, 27. März 2019, 17:10–17:20, H06

German-Russian Astroparticle Data Life Cycle Initiative — •Victoria Tokareva for the KRAD/APPDS collaboration — Institut für Kernphysik, Karlsruher Institut für Technologie, DE-76021 Karlsruhe, Germany

Data life cycle (DLC) is a high-level data processing pipeline that involves data acquisition, event reconstruction, data analysis, publication, archiving, and sharing. While such approach to data management is widespread in HEP experiments, such as CMS, ALICE, COMPASS, Belle-2, LHCb, etc., it is still not the case for the astroparticle physics community, and no conventional approach has been developed for that purpose yet.

According to Astroparticle Physics European Consortium, the joint data rate for modern astroparticle experiments is comparable to the one for the LHC, and tends to grow significantly in the nearest future. Meanwhile, the studies of rare phenomena in the approach of multi-messenger astronomy make it crucial to develop field-specific solutions for the joint analysis of data.

The German-Russian Astroparticle Data Life Cycle Initiative is a joint project aiming at the development of a concept and creation of a DLC prototype that takes into account the data processing features specific for the astroparticle physics.

The work was financially supported by Russian Science Foundation Grant 18-41-06003 (Sections 2 and 3) and Helmholtz Society Grant HRSF-0027.