Russian–German Astroparticle Data Life Cycle Initiative

Igor Bychkov, 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
Additional contact information
Igor Bychkov: 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
Andrey Demichev: Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Leninskiye Gory 1(2), 119991 Moscow, Russia
Julia Dubenskaya: Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Leninskiye Gory 1(2), 119991 Moscow, Russia
Oleg Fedorov: Applied Physics Institute, Irkutsk State University, Gagarin Blvd. 20, 664003 Irkutsk, Russia
Andreas Haungs: Institute for Nuclear Physics, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany
Andreas Heiss: Steinbuch Centre for Computing, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany
Donghwa Kang: Institute for Nuclear Physics, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany
Yulia Kazarina: Applied Physics Institute, Irkutsk State University, Gagarin Blvd. 20, 664003 Irkutsk, Russia
Elena Korosteleva: Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Leninskiye Gory 1(2), 119991 Moscow, Russia
Dmitriy Kostunin: Institute for Nuclear Physics, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany
Alexander Kryukov: Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Leninskiye Gory 1(2), 119991 Moscow, Russia
Andrey Mikhailov: 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
Minh-Duc Nguyen: Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Leninskiye Gory 1(2), 119991 Moscow, Russia
Stanislav Polyakov: Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Leninskiye Gory 1(2), 119991 Moscow, Russia
Evgeny Postnikov: Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Leninskiye Gory 1(2), 119991 Moscow, Russia
Alexey Shigarov: 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
Dmitry Shipilov: Applied Physics Institute, Irkutsk State University, Gagarin Blvd. 20, 664003 Irkutsk, Russia
Achim Streit: Steinbuch Centre for Computing, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany
Victoria Tokareva: Institute for Nuclear Physics, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany
Doris Wochele: Institute for Nuclear Physics, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany
Jürgen Wochele: Institute for Nuclear Physics, Karlsruhe Institute of Technology, KIT, 76021 Karlsruhe, Germany
Dmitry Zhurov: Applied Physics Institute, Irkutsk State University, Gagarin Blvd. 20, 664003 Irkutsk, Russia

Data, 2018, vol. 3, issue 4, 1-14

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.

Keywords: astroparticle physics; cosmic rays; data life cycle management; data curation; meta data; Big Data; deep learning; open data (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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