Observatoire de Paris-PSL CNRS vopdc cdpp Sorbonne Université cnes Université de Paris LESIA

Supplementary material to the paper “Real-time detection of solar and jovian radio bursts with NenuFAR: advancing astrophysical data mining with the EXTRACT project.”

Tuesday 23 June 2026, by Baptiste Cecconi

Next-generation radio telescopes are getting more and more performant, enabling to reach higher and higher time-frequency resolution for observations. While high-resolution observations are the best way to study the complex structure of solar and planetary radio emissions, they also lead to larger data volumes for analogous observations. Now, more than ever, scientists need ways to manage, process and store data in the most efficient way. The EXTRACT (EXTReme dAta across the Compute conTinuum) project, funded by the European commission, aims at tackling these problems and propose efficient tools to scientists. In this work we focus on two target projects within the TASKA (Transient Astrophysics with a Square Kilometer Array pathfinder) use case that both aim at developing detection pipelines that can be used in real-time during observations. These two projects are called TASKA-A1 and TASKA-A2 and are dedicated to the automatic detection of, respectively, spikes in solar radio emissions and millisecond bursts in jovian decametric emissions in high resolution radio observations obtained with the NenuFAR radiotelescope, a SKA pathfinder.

These supplementary materials provide the observations, and the products obtained from their processing, that are used in this study.

  • DOI: https://doi.org/10.25935/prex-4p67
  • Publisher: OSU Pythéas/AMU, Observatoire de Paris
  • Citation: Mauduit, E., Viou, C., Bondonneau, L., Cecconi, B., Aicardi, S., Nammour, F., & Girard, J. N. ( (2026). Supplementary material to the paper "Real-time detection of solar and jovian radio bursts with NenuFAR: advancing astrophysical data mining with the EXTRACT project.", in Planetary, Solar and Heliospheric Radio Emissions X. L., Lamy, C. K., Louis, G., Fischer, D. E., Morosan, P., Zarka eds. OSU Pythéas/AMU, Observatoire de Paris. Preprint. doi: 10.25935/prex-4p67
  • Download citation in BibTeX format

Content

Description

  • Jupiter Folder
    • sample_JUPITER_TRACKING_20251002_050038_0.spectra: portion of the original spectra file for the observation at high resolution (2.5 ms x 3.05 kHz). See MurMuRe or nenupy python package for tools to read the data.
    • sample_JUPITER_TRACKING_20251002_050038_1.rawtf: portion of the original raw file for the observation. See MurMuRe python package for tools to read the data.
    • JUPITER_TRACKING_20251002_050038_0.h5: output file produced by running spyburst on the observation, without a criterion for saving high resolution tiles. It can be easily read with the spyburst.output_analysis module.
    • compressed_JUPITER_TRACKING_20251002_050038_0.spectra: the compressed spectra file corresponding to the original observation. It is compressed at the resolution 1s x 21 kHz. It is the same structure as the original file.
  • Sun Folder
    • SUN_TRACKING_20240812_110637_0.spectra, SUN_TRACKING_20240812_110637_1.spectra: original spectra file of the observation at very high resolution (6.1 kHz x 21 ms).
    • SpikeNet.hdf5: output file produced by running SpikeNet on the orignal observation. Contains high resolution tiles where spikes were detected and metadata for each tile.
    • SpikeNet_compressed_0.spectra: the compressed spectra file from the original observation (98 kHz x 1.34s).