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.
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
Documentation: https://synim.readthedocs.io
Source Code: https://github.com/ArcetriAdaptiveOptics/SynIM
Issue Tracker: https://github.com/ArcetriAdaptiveOptics/SynIM/issues
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.