SAVIC

ML-based Python package for predicting, quantifying and classifying ion-driven plasma instabilities in the solar wind, making stability analysis accessible to the community.

SAVIC (Stability Analysis Vitalizing Instability Classification) is a Python package for predicting, quantifying and classifying ion-driven plasma instabilities in the solar wind. The software uses Machine Learning algorithms to decrease computational power requirements by several orders of magnitude compared to traditional dispersion solvers, providing instability properties for a given velocity distribution function (VDF) practically instantaneously. SAVIC combines three components: SAVIC-P (predictor of VDF stability), SAVIC-Q (regressors that quantify parameters of the most unstable mode), and SAVIC-C (classifiers that recognize the type of instability predicted for the given VDF). The software makes plasma stability analysis tools accessible to the entire community through a user-friendly environment.