Analysis Tools#
This page provides an overview of the Python tools available for analyzing Solar Orbiter data.
Core Libraries#
The following open-source Python libraries are useful for working with Solar Orbiter data:
sunpy: General-purpose solar data analysis (maps, time-series, coordinate transformations).
sunpy_soar: General-purpose solar data analysis (maps, time-series, coordinate transformations).
Other python packages#
stixpy : Python package utilising SunPy ecosystem for analysing data from the Spectrometer/Telescope for Imaging X-rays (STIX) instrument onboard Solar Orbiter.
sunraster : SunPy-affiliated package which provides tools to analyze data from spectral data from any solar mission - including SPICE onboard Solar Orbiter
sospice : Python data analysis tools for the SPICE extreme-UV spectrometer on Solar Orbiter
solo-epd-loader : Data loader (and downloader) for Solar Orbiter/EPD energetic charged particle sensors EPT, HET, and STEP.
solarmach : Python version of the multi-spacecraft longitudinal configuration plotter Solar-MACH.
Community Resources#
Solar Orbiter provides several community tools and resources to facilitate data analysis:
Solar-MACH: Multi-spacecraft longitudinal configuration plotter Solar-MACH Tool | Solar-MACH GitHub
SERPENTINE: Solar Energetic Particle (SEP) analysis tools SERPENTINE Tools | SERPENTINE JupyterHub | SERPENTINE GitHub
SOLER: Tools for analysing SEPs, coronal magnetic field extrapolation, and electric field inversion SOLER Tools | SOLER JupyterHub | SOLER GitHub
SPEARHEAD: Tools for Velocity Dispersion Analysis (VDA) of SEP events, Forbush Decrease Analysis Tool SPEARHEAD Tools | SPEARHEAD GitHub
Magnetic Connectivity Tool: Helps understand magnetic connectivity in the solar wind Magnetic Connectivity Tool
Combined In-Situ Plots: Quick-look plots from multiple in-situ instruments Quicklook Plots
For some past tutorials and guides, refer to: Data Tutorials. These will be updated hopefully soon to be included in the Example Gallery and Topic Guides.