SynIM Documentation

Synthetic Interaction Matrix generator for Adaptive Optics systems

SynIM is a Python package for computing synthetic interaction matrices, projection matrices, and covariance matrices for adaptive optics (AO) systems. It supports both Single Conjugate AO (SCAO), Laser Tomography AO (LTAO), Ground Layer AO (GLAO) and Multi-Conjugate AO (MCAO) configurations with Shack-Hartmann sensors. It also supports GPU acceleration. Some of its functionalities are provided by SPECULA.

License: MIT

Key Features

  • 🔧 Interaction matrices for DM-WFS combinations (SCAO/MCAO)

  • 📊 Projection matrices for DM-Layer tomography (MCAO/LTAO)

  • 📈 Covariance matrices for MMSE reconstructor optimization

  • ⚙️ YAML/PRO configuration with automatic parameter parsing

  • 💾 SPECULA-compatible FITS format for data exchange

  • 🎯 Smart caching to minimize redundant computations

  • 🔀 Multi-WFS optimization for faster batch computation

  • 🚀 GPU acceleration via CuPy for high-performance computation

User Guide

Tutorials

API Reference

Examples

Complete examples are available in the examples/ directory:

Support

Citation

If you use SynIM in your research, please cite:

@software{synim2025,
  author = {Agapito, Guido},
  title = {SynIM: Synthetic Interaction Matrix Generator},
  year = {2025},
  url = {https://github.com/ArcetriAdaptiveOptics/SynIM}
}

License

SynIM is licensed under the MIT License. See the LICENSE file for details.

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