A Software Tool to Analyze Solar Physics Data
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Updated
Nov 3, 2026 - Python
A Software Tool to Analyze Solar Physics Data
Deep learning models for predicting extreme solar activity using satellite observations.
Our submission for the IBM-Z Datathon 2024. Classifying the geoeffectiveness and predicting the arrival time of Coronal Mass Ejections (CMEs).
A simple GUI to associate an in-situ ICME to its likely solar CME source by back-propagating the event via the Drag-Based Model (DBM) and propagating uncertainties.
Open framework for the 3D reconstruction of CME shocks, the coronal magnetic field and radio sources for any event from public data: MHD corona, GCS shells, coronagraph, EUV and radio images, shock Mach numbers and theta_Bn
HELIOS-L1: desktop app for space weather. Live solar wind from NOAA's real-time L1 stream, archived NASA, NOAA and GFZ data, and published models for storms, the aurora, CME arrival and event analysis.
On March 7, 2012, active region 11429 produced an X5.4 flare (00:02 UTC).
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