Presents new concepts for large-scale, collaborative computing and software development for particle, astroparticle, and nuclear physics domains, as well as observational astronomy and cosmology, or high-brilliance light sources.

Addressing challenges ranging from data reduction via data sharing, to the need for data-driven modeling, this journal explores concepts for large-scale, collaborative computing and software development as well as new algorithms and techniques for data processing.

Papers solicited include primarily research articles presenting new and original results, review papers (including white papers), advanced, self-contained tutorials, as well as documentation papers with the explicit aim to collect and combine knowledge spread over many internal documents to foster proper technology transfer.

  • Explores emerging issues in big-science development
  • Includes coverage of distributed data analysis and deep learning algorithms
  • Presents articles on software benchmarking, performance assessment and on data-quality monitoring on or off-line
  • Discusses aspects of evolving computing infrastructures
  • Investigates physics event generation and detector simulation

Journal information

  • Volker Beckmann,
  • Markus Elsing,
  • Günter Quast
Publishing model
Hybrid. Learn about publishing OA with us

Journal metrics

70 days
Submission to first decision
187 days
Submission to acceptance
10,706 (2019)

Latest articles

This journal has 16 open access articles


Note this is only the net price. Taxes will be calculated during checkout.
  • Immediate online access with complete access to all articles
  • Downloadable in PDF format
  • Subscription expires 12/31/2020

About this journal

Electronic ISSN
Print ISSN
Abstracted and indexed in
  1. CNKI
  2. Dimensions
  3. EBSCO Discovery Service
  4. Google Scholar
  7. Institute of Scientific and Technical Information of China
  8. Japanese Science and Technology Agency (JST)
  9. Naver
  10. OCLC WorldCat Discovery Service
  11. ProQuest-ExLibris Primo
  12. ProQuest-ExLibris Summon
  13. TD Net Discovery Service
Copyright information

Rights and permissions

Springer policies

© Springer Nature Switzerland AG