An open source Python package for plasma research and education
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Updated
Jun 28, 2024 - Python
An open source Python package for plasma research and education
Python-based Space Physics Environment Data Analysis Software
A book about machine learning, statistics, and data mining for heliophysics
radbelt: An Astropy-friendly wrapper for the AE-8/AP-8 Van Allen belt model
Forecasting of the solar wind and geomagnetic storms with spacecraft at L1, L5 or trailing the Earth in its orbit
The Solar MAgnetic Connection Haus (Solar-MACH) tool is a multi-spacecraft longitudinal configuration plotter
PyThea is an open-source software package to perform coronal mass ejection (CME) and shock wave 3D reconstruction using multi-viewpoint remote-sensing observations.
Python package of the multi-spacecraft longitudinal configuration plotter Solar-MACH
3D coronal mass ejection flux rope modeling
Calculates from knowledge of the solar wind plasma and magnetic field the Dst index
pysat support for space weather indices and data sets
Making and analyzing heliospheric event catalogs
Grad-Shafranov reconstruction for interplanetary magnetic flux ropes
A curated list of datasets, tools and papers for machine learning in heliophysics.
Animations and plots of spacecraft positions for Parker Solar Probe, Solar Orbiter, Bepi Colombo, and STEREO-A (2018-2025) with heliopy
Verifying the predictions of solar coronal mass ejections (CMEs) with multipoint in situ data, and deriving statistics of CME parameters for the 4 terrestrial planets and Parker Solar Probe.
Solar Wind classification using Self-Organizing Maps
Forward modeling of solar storm magnetic flux ropes for space weather prediction.
CME measurements using GCS forward modeling techniques to create a common set of parameters to aid in CME propagation modeling assessment
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