Published June 23, 2023
| Version 2.0.0
Dataset
Open
Image-based Classification of Intense Radio Bursts from Spectrograms: An Application to Saturn Kilometric Radiation
- 1. School of Cosmic Physics, DIAS Dunsink Observatory, Dublin Institute for Advanced Studies, Dublin 15, Dublin, Ireland/Department of Mathematics and Statistics, Maynooth University, Maynooth, Co Kildare, Maynooth, Ireland.
- 2. School of Cosmic Physics, DIAS Dunsink Observatory, Dublin Institute for Advanced Studies, Dublin 15, Dublin, Ireland
- 3. Department of Mathematics and Statistics, Maynooth University, Maynooth, Co Kildare, Maynooth, Ireland.
- 4. LESIA, Observatoire de Paris, CNRS, Université PSL, Sorbonne Université, Université Paris Cité, CNRS, Meudon, France./Aix-Marseille Université, CNRS, CNES, LAM, Marseille, France
Description
A catalogue of 4874 of the Low Frequency Extensions (LFEs) of Saturn Kilometric Radiation (SKR) detected by Cassini/RPWS from the beginning of 2004 until mission end in 2017. The LFEs presented in this catalogue were identified using a modified U-Net architecture that applied semantic segmentation to spectrogram images in order to extract the exact frequency-time coordinates of the LFE. The files consist of a .json file with the coordinates of each LFE in Time Frequency Catalogue (TFCat) format (Cecconi et. al. 2023). We also include a .csv file with the start and stop times of each LFE in the form of python datetime timestamps, with the average predicted probability per LFE as an accompanying column.
Files
2004001_2017258_catalogue.json
Files
(69.0 MB)
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Additional details
Funding
- Data analytics and machine learning in Space Science 18/FRL/6199
- Science Foundation Ireland