EGU25-18339, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-18339
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 30 Apr, 10:45–12:30 (CEST), Display time Wednesday, 30 Apr, 08:30–12:30
 
Hall X4, X4.176
Software assisting data analysis of space radiation in spacecraft missions.
Szymon Bednorz1, Krzysztof Pęczek1, Leszek Grzanka1, Jan Swakoń1, André Galli2, Beatriz Sanchez-Cano4, Stas Barabash5, Pontus Brandt6, Peter Wurz7, Quentin Nénon8, Olivier Witasse9, and Wojciech Hajdas3
Szymon Bednorz et al.
  • 1IFJ PAN, Krakow, Poland
  • 2University of Bern, Bern, Switzerland
  • 3PSI, Villigen, Switzerland
  • 4University of Leicester, Leicester, UK
  • 5IRF, Kiruna, Sweden
  • 6Johns Hopkins University, Maryland, USA
  • 7University of Bern, Bern, Switzerland
  • 8CNES Centre National d'Etudes Spatiales, Paris, France
  • 9ESA, Noordwijk, The Netherlands
Space radiation data often reside in fragmented, mission-specific formats and require specialized software, posing challenges for the space weather community in terms of collaborative research and rapid analysis. To address these issues, we have developed a two-part software solution that, in its current stage, integrates measurements from the RADEM detector aboard ESA’s Jupiter Icy Moons Explorer (JUICE) mission and the IREM instrument on the INTErnational Gamma-Ray Astrophysics Laboratory (INTEGRAL).

The first component is a web application that automatically retrieves newly released data, performs basic validation, and stores it in a time-series database. Users can explore these measurements through interactive dashboards that support real-time visualization and simple data transformation queries, such as comparing fluxes between detectors, focusing on specific time intervals, or analyzing orbital parameters. The application’s containerized architecture ensures straightforward deployment on local or cloud infrastructure, making it accessible to diverse research teams.

The second component is a dedicated Python library that provides functions for reading and standardizing raw or higher-level data from multiple sources. Researchers can seamlessly access, merge, and analyze radiation measurements in a unified environment, significantly reducing manual overhead and scripting effort.

Initial feedback from early adopters indicates improved workflow efficiency and faster identification of specific events in the observed radiation environment. This integrated framework holds potential for broader applicability in future missions examining space weather phenomena.

How to cite: Bednorz, S., Pęczek, K., Grzanka, L., Swakoń, J., Galli, A., Sanchez-Cano, B., Barabash, S., Brandt, P., Wurz, P., Nénon, Q., Witasse, O., and Hajdas, W.: Software assisting data analysis of space radiation in spacecraft missions., EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18339, https://doi.org/10.5194/egusphere-egu25-18339, 2025.