English

German-Russian Astroparticle Data Life Cycle Initiative

Instrumentation and Methods for Astrophysics 2019-08-01 v1

Abstract

A data life cycle (DLC) is a high-level data processing pipeline that involves data acquisition, event reconstruction, data analysis, publication, archiving, and sharing. For astroparticle physics a DLC is particularly important due to the geographical and content diversity of the research field. A dedicated and experiment spanning analysis and data centre would ensure that multi-messenger analyses can be carried out using state-of-the-art methods. The German-Russian Astroparticle Data Life Cycle Initiative (GRADLCI) is a joint project of the KASCADE-Grande and TAIGA collaborations, aimed at developing a concept and creating a DLC prototype that takes into account the data processing features specific for the research field. An open science system based on the KASCADE Cosmic Ray Data Centre (KCDC), which is a web-based platform to provide the astroparticle physics data for the general public, must also include effective methods for distributed data storage algorithms and techniques to allow the community to perform simulations and analyses with sophisticated machine learning methods. The aim is to achieve more efficient analyses of the data collected in different, globally dispersed observatories, as well as a modern education to Big Data Scientist in the synergy between basic research and the information society. The contribution covers the status and future plans of the initiative.

Keywords

Cite

@article{arxiv.1907.13303,
  title  = {German-Russian Astroparticle Data Life Cycle Initiative},
  author = {Andreas Haungs and Igor Bychkov and Julia Dubenskaya and Oleg Fedorov and Andreas Heiss and Donghwa Kang and Yulia Kazarina and Elena Korosteleva and Dmitriy Kostunin and Alexander Kryukov and Andrey Mikhailov and Minh-Duc Nguyen and Frank Polgart and Stanislav Polyakov and Evgeny Postnikov and Alexey Shigarov and Dmitry Shipilov and Achim Streit and Victoria Tokareva and Doris Wochele and Jürgen Wochele and Dmitry Zhurov},
  journal= {arXiv preprint arXiv:1907.13303},
  year   = {2019}
}

Comments

presented at the 36th ICRC (Madison, WI; 2019)

R2 v1 2026-06-23T10:35:37.445Z