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.

Highlights

  • Research in astroparticle physics addresses some of the most fundamental questions in nature.Various experiments in astroparticle physics span almost the whole spectrum of cosmic rays and all types of radiation [1,2]

  • We introduced a metadata architecture for cosmic ray experiments that aims at describing and searching for all events from KASCADE-Grande and TAIGA experiments in a centralized database (Section 3.1)

  • We proposed and estimated a novel technique for particle identification in imaging air Cherenkov telescopes based on deep learning

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Summary

Introduction

Research in astroparticle physics addresses some of the most fundamental questions in nature.Various experiments in astroparticle physics span almost the whole spectrum of cosmic rays and all types of radiation [1,2]. Information from various messengers, like charged particles [3] or neutrons [4], gamma-rays [5,6], or neutrinos [7], measured by different large-scale facilities distributed across the globe, has to be combined to obtain increased knowledge of the high-energy Universe. While neutrinos and gamma-rays point directly to the source, cosmic rays are heavily declined in the galactic and extra-galactic magnetic fields. Their anisotropy can indicate the nearest sources [8] as well as point to the possible distant sources of ultra-high-energy cosmic rays [9]

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