Skip to main content

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

Simulate a Newtonian telescope using optika

Newtonian telescope example image simulation

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

Download files

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

Source Distribution

optika-2.1.0.tar.gz (4.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

optika-2.1.0-py3-none-any.whl (4.9 MB view details)

Uploaded Python 3

File details

Details for the file optika-2.1.0.tar.gz.

File metadata

  • Download URL: optika-2.1.0.tar.gz
  • Upload date:
  • Size: 4.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for optika-2.1.0.tar.gz
Algorithm Hash digest
SHA256 20377d3aff23b99f43bf1a61f41883337b892021bb9959c3d2159ed0563177f6
MD5 def8f9e0f1d6780822f034c265d289aa
BLAKE2b-256 877283c3eae150ef4b71eb417ebc27180218cbacda51840e688b934ec1cec47e

See more details on using hashes here.

File details

Details for the file optika-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: optika-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 4.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for optika-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d45b246b89d7ac55be0ea48484ca1aac7ab57451bb1dc7b2b83b476d9d3c4164
MD5 c82eb8d5931cefed74163c2fe4b82d1e
BLAKE2b-256 a3b4742a794030ce9e75741a16ddbc9f21a505224bb46132e62a85b86fdf754c

See more details on using hashes here.

Release history Release notifications | RSS feed

2.2.0

2 files

This release

2.1.0 This release

2 files

2.0.1

2 files

2.0.0

2 files

1.1.0

2 files

1.0.1

2 files

1.0.0

2 files

0.14.0

2 files

0.13.0

2 files

0.12.2

2 files

0.12.1

2 files

0.12.0

2 files

0.11.0

2 files

0.10.4

2 files

0.10.3

2 files

0.10.2

2 files

0.10.1

2 files

0.10.0

2 files

0.9.0

2 files

0.8.0

2 files

0.7.0

2 files

0.6.0

2 files

0.5.0

2 files

0.4.1

2 files

0.4.0

2 files

0.3.1

2 files

0.3.0

2 files

0.2.0

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

0.0.10

1 file

0.0.9

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 files

0.0.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page