Skip to main content

A Python library for simulating optical systems, similar to Zemax

Project description

optika

tests codecov Black Ruff Documentation Status PyPI version

A Python library for simulating optical systems, similar to Zemax.

Installation

Optika can be installed using pip:

pip install optika

Features

  • Sequential raytrace modeling
  • Spherical, conical and toroidal surface sag profiles
  • Ruled surfaces, constant, variable, and holographic line spacing
  • Circular, rectangular, and polygonal apertures
  • multilayer reflectivity and transmissivity
  • n-dimensional configurations of the optical system using named-arrays
  • uncertainity propagation using named-arrays

Example Gallery

An example of how to raytrace a Newtonian telescope using Optika:

Newtonian telescope example

Compute the reflectivity of a multilayer mirror by specifying the materials and thicknesses of the layers.

multilayer example

Model the quantum efficiency of a backilluminated CCD

QE example

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

optika-0.9.0.tar.gz (4.2 MB view details)

Uploaded Source

Built Distribution

optika-0.9.0-py3-none-any.whl (4.7 MB view details)

Uploaded Python 3

File details

Details for the file optika-0.9.0.tar.gz.

File metadata

  • Download URL: optika-0.9.0.tar.gz
  • Upload date:
  • Size: 4.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for optika-0.9.0.tar.gz
Algorithm Hash digest
SHA256 3a49590539d142f36969e39c668caacd85d2cb2acf128961a8589695c21281bf
MD5 926e5271175afa12dd21631c479c61aa
BLAKE2b-256 69b19f0f640236e116b2a09cbc8b8fd3a7d1f51f3e323eba64ad6fc03e541b6a

See more details on using hashes here.

File details

Details for the file optika-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: optika-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 4.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for optika-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c7296c1a46629b363268225e05c62a66e482c0b2126b8ff29b044419c8a36a4e
MD5 998b847fd78968d5ab97917a2a0a8748
BLAKE2b-256 c6fabe2a38f6d4de37f0e1e7cc655a616a5365d4b38dbb5863bf3b3f3f273bbd

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page