rayoptics


Namerayoptics JSON
Version 0.8.7 PyPI version JSON
download
home_pagehttps://github.com/mjhoptics/ray-optics
SummaryTools for image forming optical design and analysis
upload_time2024-04-04 00:39:13
maintainerNone
docs_urlNone
authorMichael J Hayford
requires_python>=3.8
licenseBSD 3 Clause
keywords geometric optics ray tracing image forming optics paraxial optics optical design lens design aberrations opd psf
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
.. image:: https://readthedocs.org/projects/ray-optics/badge/?version=latest
   :alt: ReadTheDocs
   :target: https://ray-optics.readthedocs.io/

.. image:: https://img.shields.io/pypi/v/rayoptics.svg
   :alt: PyPI-Server
   :target: https://pypi.org/project/rayoptics/

.. image:: https://img.shields.io/conda/vn/conda-forge/rayoptics.svg
   :alt: Conda-Forge
   :target: https://anaconda.org/conda-forge/rayoptics

==========
ray-optics
==========

Installation
------------

To install *rayoptics* using pip, use

.. code::

    > pip install rayoptics

Alternatively, *rayoptics* can be installed from the conda-forge channel using conda

.. code::

   > conda install rayoptics --channel conda-forge

Documentation
-------------

The documentation for *ray-optics* is hosted at `Read the Docs <https://ray-optics.readthedocs.io>`_

Tools for image forming optical design and analysis
---------------------------------------------------

RayOptics is a Python geometrical optics and image forming optics library. It provides a geometric ray tracing foundation for the analysis of image forming and coherent optical systems. A number of standard geometrical analysis options such as transverse ray and wavefront aberration analysis are provided on this base. Paraxial layout of optical systems is also supported by y-ybar diagrams and graphical editing of paraxial rays in lens layout views. Import of Zemax .zmx and CODEV .seq files is supported. RayOptics can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, and a Qt-based graphical user interface application.

Note
----

This project has been set up using PyScaffold 4.3. For details and usage information on PyScaffold see https://pyscaffold.org/.

            

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