Analyze solar impact on satellites using machine learning, focusing on capacity estimation and defect detection.
Watch lightning strike, satellites orbit, wildfires burn, earthquakes shake, volcanoes erupt, and the Sun breathe — on one real-time 3D globe. Extract and run `python start.py`. No Docker. No API keys. No tracking.
Space Weather Dashboard - Real-time solar/geomagnetic data + weather satellite imagery for Nextcloud
Auger data analysis for identify accuracy on correlations between cosmic ray fluxes and current solar activity.
Python toolkit correlating a GitHub user's commit history with solar and geomagnetic activity — sunspot numbers (SILSO), F10.7 flux, Dst and ap indices from OMNI2/NOAA SWPC. Computes lagged Pearson/Spearman correlations, Lomb-Scargle periodograms, and bootstrap CIs with heatmaps and multi-user comparison.
Un estudio exhaustivo para validar o refutar la correlación entre picos solares y actividad sísmica. A diferencia de análisis superficiales, este proyecto aplica técnicas estadísticas avanzadas para evitar falsos positivos.
Deep learning models for predicting extreme solar activity using satellite observations.
Daily Kp index since 1932, geomagnetic storm days per year on the NOAA G scale and every G4 and G5 storm, the storms behind the auroras. CSV, CC BY 4.0. GFZ data, by Live Atlas
Analysis of ultraviolet emission from solar active regions using SDO/AIA 1600 Å and SDO/HMI observations, with active regions classified by their Hale magnetic configuration.
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