Russian–German Astroparticle Data Life Cycle Initiative

Matrosov Institute for System Dynamics and Control Theory, Siberian Branch of Russian Academy of Sciences, Lermontov st. 134, P. O. Box 292, 664033 Irkutsk, Russia

Institute Of Mathematics, Economics and Informatics, Irkutsk State University, Gagarin Blvd. 20, Irkutsk 664003, Russia

Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Leninskiye Gory 1(2), 119991 Moscow, Russia

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Applied Physics Institute, Irkutsk State University, Gagarin Blvd. 20, 664003 Irkutsk, Russia

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Institute for Nuclear Physics, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany

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Steinbuch Centre for Computing, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany

Author to whom correspondence should be addressed.

Data 2018, 3(4), 56; https://doi.org/10.3390/data3040056

Received: 12 October 2018 / Revised: 12 November 2018 / Accepted: 24 November 2018 / Published: 28 November 2018

(This article belongs to the Special Issue Data in Astrophysics & Geophysics: Research and Applications)

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Abstract

Modern large-scale astroparticle setups measure high-energy particles, gamma rays, neutrinos, radio waves, and the recently discovered gravitational waves. Ongoing and future experiments are located worldwide. The data acquired have different formats, storage concepts, and publication policies. Such differences are a crucial point in the era of Big Data and of multi-messenger analysis in astroparticle physics. We propose an open science web platform called ASTROPARTICLE.ONLINE which enables us to publish, store, search, select, and analyze astroparticle data. In the first stage of the project, the following components of a full data life cycle concept are under development: describing, storing, and reusing astroparticle data; software to perform multi-messenger analysis using deep learning; and outreach for students, post-graduate students, and others who are interested in astroparticle physics. Here we describe the concepts of the web platform and the first obtained results, including the meta data structure for astroparticle data, data analysis by using convolution neural networks, description of the binary data, and the outreach platform for those interested in astroparticle physics. The KASCADE-Grande and TAIGA cosmic-ray experiments were chosen as pilot examples. View Full-Text

Keywords: astroparticle physics; cosmic rays; data life cycle management; data curation; meta data; Big Data; deep learning; open data

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MDPI and ACS Style

Bychkov, I.; Demichev, A.; Dubenskaya, J.; Fedorov, O.; Haungs, A.; Heiss, A.; Kang, D.; Kazarina, Y.; Korosteleva, E.; Kostunin, D.; Kryukov, A.; Mikhailov, A.; Nguyen, M.-D.; Polyakov, S.; Postnikov, E.; Shigarov, A.; Shipilov, D.; Streit, A.; Tokareva, V.; Wochele, D.; Wochele, J.; Zhurov, D. Russian–German Astroparticle Data Life Cycle Initiative. Data 2018, 3, 56. https://doi.org/10.3390/data3040056

AMA Style

Bychkov I, Demichev A, Dubenskaya J, Fedorov O, Haungs A, Heiss A, Kang D, Kazarina Y, Korosteleva E, Kostunin D, Kryukov A, Mikhailov A, Nguyen M-D, Polyakov S, Postnikov E, Shigarov A, Shipilov D, Streit A, Tokareva V, Wochele D, Wochele J, Zhurov D. Russian–German Astroparticle Data Life Cycle Initiative. Data. 2018; 3(4):56. https://doi.org/10.3390/data3040056

Chicago/Turabian Style

Bychkov, Igor, Andrey Demichev, Julia Dubenskaya, Oleg Fedorov, Andreas Haungs, Andreas Heiss, Donghwa Kang, Yulia Kazarina, Elena Korosteleva, Dmitriy Kostunin, Alexander Kryukov, Andrey Mikhailov, Minh-Duc Nguyen, Stanislav Polyakov, Evgeny Postnikov, Alexey Shigarov, Dmitry Shipilov, Achim Streit, Victoria Tokareva, Doris Wochele, Jürgen Wochele, and Dmitry Zhurov. 2018. "Russian–German Astroparticle Data Life Cycle Initiative" Data 3, no. 4: 56. https://doi.org/10.3390/data3040056

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