The 2022 edition of the RECOSTAT workshop gathered researchers from the LPP, LAB and IRAP. The main ambitions of this first meeting were:
- presenting and sharing the different techniques used in our groups to make automatic detections of events in spacecraft in situ data.
- design new tools and new features to existing tools for massive statistical analysis, such as SciQLOP or SPEASY
Participants:
- Benoit Lavraud (LAB)
- Naïs Fargette (IRAP)
- Vincent Génot (IRAP)
- Quentin Lenouvel (IRAP)
- Souhail Dahani (IRAP)
- Bayane Michotte de Welle (LPP)
- Nicolas Aunai (LPP)
- Thomas Chust (LPP)
- Roch Smets (LPP)
- Ambre Ghisalberti (LPP)
- Gautier Nguyen (DGA)
- Alexandre Schulz (IRAP)
Talks
- Scikit-learn, classification / regression examples - Bayane MdW /Ambre Ghisalberti
- Neural Nets / Deep Learning - Quentin Lenouvel / Gautier Nguyen
- Speasy & TSCAT - Alexis Jeandet
- SW rec. exhausts - context, signatures, SOLO/SP data - Benoit Lavraud / Naïs Fargette
- SW and MP flux ropes - Vincent Génot / Souhail Dahani
- MP X lines, MSH dataset and shear maps - Nico Aunai / Bayane MdW
- Whamp theory & principles - Thomas Chust / Roch Smets
Funding and Acknowledgments
- [Programme National Soleil Terre (PNST)]
- CNES
- CDPP