structured-optics

A Python library for generating, propagating, and analyzing structured light beams (Hermite-Gaussian, Laguerre-Gaussian, Bessel, Ince-Gaussian, fiber LP modes, and more) on a discretized transverse grid.

Features

• Mode generation: Hermite-Gaussian, Laguerre-Gaussian, Bessel, Gaussian-Bessel, Ince-Gaussian (even/odd/helical), fractional OAM, fiber LP modes, and geometric apertures (circle, square, triangle).
• Propagation: Fresnel, Fraunhofer, and incoherent propagation methods.
• Polarization: vector beams with Ex/Ey/Ez components, Jones-matrix optics (waveplates, polarizers).
• Optical elements: lenses (spherical, astigmatic, tilted), slits, irises, and other amplitude/phase masks.
• Analysis: power, intensity and phase profiles, centroid, beam size (std), angular sections, and modal decomposition (HG/LG/Bessel basis projections).
• Holography: SLM and DMD hologram generation for experimental beam shaping.

Installation

pip install structured-optics

Quick start

import structured_optics as so

# Create a beam on a 10mm x 10mm (2*5e-3) grid with 512x512 points
beam = so.Beam(nix=5e-3, Dx=512, waist=1e-3, lamb=1064e-9)

# Set the field to a Laguerre-Gaussian mode with l=2, p=0
beam.lg(l=2, p=0)

# Propagate 10 cm using Fresnel Convolution
beam.propagate(z=0.1, method='fres_c')

# Look at the intensity profile
import matplotlib.pyplot as plt
plt.pcolormesh(beam.x, beam.y, beam.int_profile())
plt.colorbar()
plt.show()

Expected output:

Documentation

Full API documentation, including all mode types, propagation methods, and optical elements, is available at:

(https://altilano.github.io/structured-optics/)

Requirements

• Python 3.9+
• numpy
• scipy
• screeninfo

Contributing

Issues and pull requests are welcome at github.com/Altilano/structured-optics.

License

This project is licensed under the BSD-3-Clause License. See LICENSE for details.

Citation

To do

• Documentation.
• Benchmark and optimization.
• Support for high NA focalization. (Non paraxial propagation, no scalar field)
• Cuda and ROCm speed up.
• Support for propagation inside linear medium.