raytracing

raytracing implements ABCD ray-matrix calculations in Python to model paraxial light propagation and quantify optical-system properties such as collection efficiency, vignetting, intensity profiles, and optical invariants.

Key Features:

• Implementation: The module is implemented in Python.
• Ray Matrix Calculations: Uses ray matrices (ABCD formalism) to trace rays through object, image, aperture stops, and field stops while excluding aberrations such as spherical and chromatic.
• Gaussian Beam Propagation: Performs Gaussian laser beam propagation analysis using ABCD matrices.
• Optical System Analysis: Computes collection efficiency, vignetting, and intensity profiles within optical systems.
• Characterization Using Optical Invariants: Employs optical invariants to benchmark and assess optical system performance.
• Educational Utility: Illustrates concepts such as apertures, aperture stops, and field stops for instructional purposes.

Scientific Applications:

• Microscopy: Analysis and design of microscope optical paths and collection efficiency.
• Laser Beam Propagation: Modeling of Gaussian laser beam propagation through optical components.
• Optical System Design and Optimization: Modeling ray paths and invariants to support design and optimization of optical systems.

Methodology:

Performs paraxial ray tracing and Gaussian-beam propagation using the ABCD matrix formalism, tracing rays through object/image planes, aperture stops, and field stops without accounting for spherical or chromatic aberrations.