EGU25-15092, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-15092
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 30 Apr, 14:00–15:45 (CEST), Display time Wednesday, 30 Apr, 14:00–18:00
 
Hall X3, X3.112
CSESpy: a unified framework for data analysis of the payloads on board the CSES satellite
Emanuele Papini1, Francesco Maria Follega2,3, Mirko Piersanti4,1, Roberto Battiston2,3, and Piero Diego1
Emanuele Papini et al.
  • 1Istituto di Astrofisica e Planetologia Spaziali, INAF, Roma, Italy (emanuele.papini@inaf.it)
  • 2University of Trento, Via Sommarive 14, I-38123 Trento, Italy
  • 3TIFPA-INFN, Via Sommarive 14, I-38123 Trento, Italy
  • 4University of L’Aquila, Via Vetoio, I-67100, L’Aquila, Italy

The China-Seismo-Electromagnetic Satellite (CSES) mission delivers in-situ measurements of the plasma, electromagnetic fields, and charged particles in the topside ionosphere. Each CSES spacecraft carries several different scientific payloads delivering a wealth of information about the ionospheric plasma dynamics and properties and the energetic particles precipitating in the ionosphere or coming from outside the Earth environment. Here we present CSESpy, a python package designed to provide easy access to CSES Level 2 data products, with the aim to ease the pathway for scientists to carry out the analysis of CSES data, increase opportunities for collaboration and boost joint research efforts.Beyond simply being an interface to the CSES database, CSESpy aims at providing higher-level analysis and visualization tools, as well as tools for combining concurrent measurements from different data products, so as to allow multi-payload and even multi-satellite studies in a unified framework. CSESpy is designed to be highly flexible, as such it can be extended to interface with datasets from other sources and can be embedded in wider software ecosystems for the analysis of space physics data. Tools like CSESpy are crucial for advancing our understanding of complex ionospheric and space weather phenomena that are otherwise challenging to investigate, thereby contributing significantly to advancements in space physics research.

How to cite: Papini, E., Follega, F. M., Piersanti, M., Battiston, R., and Diego, P.: CSESpy: a unified framework for data analysis of the payloads on board the CSES satellite, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15092, https://doi.org/10.5194/egusphere-egu25-15092, 2025.