Introduction#

optika is a Python package for designing optical systems inspired by Zemax. It allows the user to compute the spectral response and resolution of an arbitrary optical system and optimize it using scipy.optimize. The main design goals of optika are to

  • Use astropy.units to specify the parameters of an optical system.

  • Automatically compute the field of view and entrance pupil of a given optical system.

  • Allow for \(n\)-dimensional configurations of an optical system by allowing its parameters to be array-like.

  • Compute uncertainties in the performance of an optical system using the Monte-Carlo method.

To satisfy the last two design goals, optika uses the purpose-built named_arrays package as a backend. named_arrays is an implementation of a named tensor, which allows the user to name the axes in an \(n\)-dimensional array. This makes specifying \(n\)-dimensional configurations in optika easier since the user doesn’t have to manually insert singleton dimensions to broadcast orthogonal configuration changes against each other. Furthermore, named_arrays provides an implementation of a 3D vector, Cartesian3dVectorArray, which is convenient to use since many of the inputs and outputs of optika can be represented as 3D vectors.

Features#

  • Sequential raytrace modeling of an optical system

  • Stratified random sampling of input rays for faster convergence

  • Image simulation of a given scene using an optical system

  • Spherical, conical, and toroidal surface sag profiles

  • Circular, rectangular, and polygonal apertures

  • Support for mirrors and arbitrary multilayer coatings

  • Diffraction grating support

    • Constant, polynomial and holographic ruling spacing

    • Sinusoidal, square, rectangular, sawtooth, and triangular ruling profiles

  • CCD/CMOS sensor simulation

    • Quantum efficiency

    • Noise simulation

    • Charge diffusion

Limitations#

  • Polarization. Different polarization states are not propagated through the system.

  • Physical Optics. Only geometric optics is supported right now, but adding a Fourier optics propagator is a longstanding goal of the project.

  • Glass Optical Constants. optika has a wide array of optical constants from sources such as Palik [1997] and Henke et al. [1993], but it does not yet have a database for different types of glass like Zemax does.

Differences from Zemax#

  • The position and orientation of surfaces in optika are specified in global coordinates instead of coordinates relative to the last surface.

  • The field of view is automatically calculated, there is no need to set the extent of the field.

  • Diffraction grating rulings are now a parameter of an optical surface. There is no need to change the type of surface to allow for different ruling designs.

Tutorials#

Jupyter notebook examples on how to use optika.

API Reference#

An in-depth description of the interfaces in this package.

optika

A Python package for simulating and designing optical systems.

References#

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Indices and tables#