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beamshapy

a package for simulations of laser beam shaping experiments

  • 0.1.13
  • PyPI
  • Socket score

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Beamshapy: Laser Beam Shaping Module

Beamshapy is a Python-based module designed for crafting laser beam shaping masks for use on phase-only Spatial Light Modulators (SLM). It leverages Fast Fourier Transform (FFT) propagation and relies on the Lightpipes package for its core functionality.

Features

Beamshapy provides two primary methods for mask design:

  1. Manual Design:

    • Craft appropriate masks for a targeted profile using the method described in Encoding amplitude information onto phase-only filters, JA Davis, 1999 Read the article
    • Suitable for controlling amplitude and phase in the conjugate Fourier plane.
  2. Gerchberg and Saxton Algorithm:

    • Design masks when only the intensity profile is important.
    • Optimizes the phase mask to achieve the targeted intensity in the conjugate Fourier plane.

Examples

Beamshapy includes several examples to demonstrate its capabilities:

  • example_simple_FT_propagation.py: Simple propagation with a wrapped wedge displayed on the SLM.
  • example_mask_design_BG_modul.py: Mask design and propagation, used to design the masks featured in the associated article.
  • example_mask_design_fresnel.py: Mask design for a Fresnel lens.
  • example_mask_design_GSA.py: Target intensity design and Gerchberg and Saxton optimization routine to obtain the phase mask for the targeted intensity in the conjugate Fourier plane.

For a practical application of Beamshapy, refer to our article: Selective excitation of high-order modes in two-dimensional cavity resonator integrated grating filters, A. Rouxel et al, 2024. Read the article

Installation

To install beamshapy, follow these steps:

  1. Clone the repository from GitHub:

    git clone https://github.com/a-rouxel/beamshapy.git
    cd beamshapy
    
  2. Create a dedicated Python environment using Miniconda: If you don't have Miniconda installed, follow the instructions here.

    # Create a new Python environment
    conda create -n beamshapy python=3.9
    
    # Activate the environment
    conda activate beamshapy
    
  3. Install the necessary Python packages: The required packages are listed in the requirements.txt file in the repository.

    # Install necessary Python packages with pip
    pip install -r requirements.txt
    

License

Beamshapy is open-source and available under the MIT License.

Contributions

Contributions are welcome! Please feel free to submit issues, fork the repository, and send pull requests.

Contact

For any questions or feedback, please contact the repository owner at arouxel@laas.fr.

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