Search Results for author:
Found 3 papers, 1 papers with code
Unsupervised classification of fully kinetic simulations of plasmoid instability using Self-Organizing Maps (SOMs)
The growing amount of data produced by simulations and observations of space physics processes encourages the use of methods rooted in Machine Learning for data analysis and physical discovery.
Unsupervised classification of simulated magnetospheric regions
We present an unsupervised classification method for magnetospheric regions, that could constitute the first-step of a multi-step method for the automatic identification of magnetospheric processes of interest.
Visualizing and Interpreting Unsupervised Solar Wind Classifications
The manual and semi-automatic classification of millions of hours of solar wind data from multiple missions can be replaced by automatic algorithms that can discover, in mountains of multi-dimensional data, the real differences in the solar wind properties.
Space Physics Solar and Stellar Astrophysics
