Utilities for analyzing wavefront error data
Project description
STOP-utils
Utilities for analyzing wavefront error data.
Overview
This package provides utilities for Wavefront Error (WFE) analysis, implementing orthonormal polynomial decomposition and visualization tools. The core functionality is based on the PAOS package (see readthedocs). The package supports both raw WFE data files and Zemax-exported Wavefront Map text files.
Installation
From PyPI
Once the package is published on PyPI, you can install it using pip:
pip install stop-utils
From GitHub
You can install the latest development version directly from GitHub:
pip install git+https://github.com/arielmission-space/STOP-utils.git
Development Installation
First, clone the repository:
git clone https://github.com/arielmission-space/STOP-utils.git
cd STOP-utils
Then, create a virtual environment and activate it:
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
Finally, install dependencies with either make:
make install
Or poetry:
poetry install
Package Structure
stop_utils/
├── pyproject.toml
├── README.md
├── stop_utils/
│ ├── __init__.py
│ ├── cli.py # Typer CLI implementation
│ ├── converters.py # Input errormap data converters
│ ├── types.py # Custom types and data classes
│ ├── visualization.py # Plotting utilities
│ └── wfe_analysis.py # Core analysis functionality
└── tests/
├── __init__.py
├── conftest.py
├── test_cli.py
├── test_converters.py
├── test_visualization.py
└── test_wfe_analysis.py
Zemax Integration
The zemax/ submodule provides tools for interfacing with Zemax OpticStudio through its ZOS-API:
stop_utils/zemax/
├── __init__.py
├── zmx_boilerplate.py # Core ZOS-API interface
├── wavefront_extractor.py # Wavefront map extraction
└── zmx_batch_processor.py # Batch processing utility
Key features:
- Direct integration with Zemax OpticStudio via ZOS-API
- Automated wavefront map extraction from Zemax files
- Batch processing capabilities for multiple Zemax files
- Support for custom wavelength and surface selection
- Automated visualization of wavefront maps
Requirements:
- Zemax OpticStudio (Premium, Professional, or Standard Edition)
- Python.NET (pythonnet) package
- Valid Zemax license for API use
Usage
A dedicated CLI entry point is provided for batch processing Zemax files:
stop-utils zmx-batch -b "C:\path\to\zemax\files" -o "C:\path\to\output\dir" -s "EXPP" -w 0.633
This command processes all .zmx files in the specified folder, extracting wavefront maps for the given surface and wavelength. Output files are saved in the specified output directory.
Options:
--base-folder,-b: Directory containing.zmxfiles (required)--output-dir,-o: Directory to save output files (required)--surface-name,-s: Surface name to process (default:EXPP)--wavelength-um,-w: Custom wavelength in micrometers
Module Descriptions
types.py
Contains type definitions and data classes used throughout the package:
@dataclass
class WFEResult:
raw: npt.NDArray[np.float64]
coefficients: npt.NDArray[np.float64]
zernikes: npt.NDArray[np.float64]
residual: npt.NDArray[np.float64]
pttf: npt.NDArray[np.float64]
model: npt.NDArray[np.float64]
@dataclass
class AnalysisConfig:
n_zernike: int
save_coeffs: bool
generate_plots: bool
plot_format: str
Core Components
-
wfe_analysis.py: Core functionality for WFE analysis
- Loading and preprocessing WFE data
- Support for raw WFE data and Zemax Wavefront Map text files
- Elliptical mask creation and fitting
- Orthonormal polynomial decomposition
- Coefficient calculation and fitting
-
visualization.py: Plotting utilities
- WFE map visualization
- Elliptical mask and aperture plotting
- Residual error mapping
- Results visualization
-
cli.py: Command-line interface using Typer
- Main analysis command
- Progress tracking
- Result output handling
Usage
Analyze a wavefront error data file:
stop-utils analyze input_file output_dir/
Supported input formats:
- Raw WFE data files (
.dat) - Zemax Wavefront Map exports (
.txt) from the "Text" button in the Wavefront Map analysis window or fromzmx-batch(see above).
Options:
--nzernike,-n: Number of polynomials (default: 15)--plot-format,-f: Plot output format (png, pdf, svg) (default: png)--save-coeffs/--no-save-coeffs: Save coefficients to JSON--no-plots: Skip plot generation--help,-h: Show help message--version,-v: Show version information
Examples:
# Analyze a raw WFE data file
stop-utils analyze wfe.dat results/ --nzernike 21 --plot-format pdf --save-coeffs
# Analyze a Zemax Wavefront Map file
stop-utils analyze wavefront_map.txt results/ --plot-format png --format zemax
Outputs
The tool generates several outputs in the specified directory (where {format} is determined by the --plot-format option):
wfe_raw.{format}: Raw wavefront error datawfe_pttf.{format}: Piston, tip, tilt, and focus componentswfe_model.{format}: Orthonormal polynomial model fitwfe_residual.{format}: Residual error after model fitpolynomial_coefficients.{format}: Bar plot of polynomial coefficientspolynomial_coefficients.json: JSON file containing coefficient values
Requirements
- Python ≥ 3.10
- Dependencies in
pyproject.toml
Development
The project includes a Makefile to streamline common development tasks:
make help # Show available commands
make install # Install dependencies using poetry
make test # Run the test suite
make check # Run type checking with mypy
make format # Format code with black and isort
make docs # Build the documentation
make clean # Remove Python cache files and build artifacts
Example workflow:
-
Set up development environment:
make install -
Make your changes and format the code:
make format -
Run type checking and tests:
make check make test
-
Clean up before committing:
make clean
Building Documentation
To build the documentation locally:
-
Install the documentation dependencies:
poetry install --with docs # or using make: # make install-docs
-
Build the HTML documentation:
make docs # or manually: # sphinx-build -b html docs/source docs/build/html
The generated HTML files will be in the docs/build/html directory. Open docs/build/html/index.html in your browser to view the documentation.
Implementation Notes
-
Data Flow:
graph TD A[CLI/Input File] --> B[Load WFE Data] B --> C[Detect Elliptical Aperture] C --> D[Fit Orthonormal Polynomials] D --> E[Generate Results & Plots] E --> F[Output Directory/Logs]
-
Core Functions:
mask_to_elliptical_aperture(): Converts mask to elliptical aperturecalculate_zernike(): Computes polynomials decompositionfit_zernike(): Performs polynomial fittinggenerate_plots(): Creates visualization outputs
-
Error Handling:
- Input validation
- Graceful failure for invalid data
- Clear error messages via Typer
-
Performance Considerations:
- Efficient numpy operations
- Progress tracking for long operations
- Optional plot generation
Cite as
@INPROCEEDINGS{2024SPIE13092E..4KB,
author = {{Bocchieri}, Andrea and {Mugnai}, Lorenzo V. and {Pascale}, Enzo},
title = "{PAOS: a fast, modern, and reliable Python package for physical optics studies}",
booktitle = {Space Telescopes and Instrumentation 2024: Optical, Infrared, and Millimeter Wave},
year = 2024,
editor = {{Coyle}, Laura E. and {Matsuura}, Shuji and {Perrin}, Marshall D.},
series = {Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series},
volume = {13092},
month = aug,
eid = {130924K},
pages = {130924K},
doi = {10.1117/12.3018333},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024SPIE13092E..4KB},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
License
This project is licensed under the BSD 3-Clause License. See the LICENSE file for details.
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