ssw-plugin:ssw-prep
CommunityPrep solar data for ML
Authortykimos
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex preprocessing of SDO/AIA solar data, transforming raw FITS files into a standardized, machine-learning-ready format.
Core Features & Use Cases
- Calibration: Corrects for pointing errors, sensor degradation, and exposure variations.
- Normalization: Standardizes images to a consistent resolution, orientation (north-up), and solar disk centering.
- Format Conversion: Converts raw FITS data into float32 format with units of DN/s, suitable for neural network training.
- Use Case: Prepare a batch of SDO/AIA 193 Angstrom images taken over a week for training a solar flare prediction model.
Quick Start
Use the ssw-prep skill to preprocess the AIA Level 1 FITS file 'aia_lev1_file.fits' into an ML-ready format.
Dependency Matrix
Required Modules
sunpyastropyaiapyssw-toolsloguru
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ssw-plugin:ssw-prep Download link: https://github.com/tykimos/ssw-plugin/archive/main.zip#ssw-plugin-ssw-prep Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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