semvec/pypi-packages huggingface dataset:
c3dp 0.1.0
design of 3D printed high pressure cell collimator
License: MIT license
Keywords: c3dp

====
c3dp
====

.. image:: https://img.shields.io/pypi/v/c3dp.svg
        :target: https://pypi.python.org/pypi/c3dp

.. image:: https://img.shields.io/travis/fahima-islam/c3dp.svg
        :target: https://travis-ci.org/fahima-islam/c3dp

.. image:: https://readthedocs.org/projects/c3dp/badge/?version=latest
        :target: https://c3dp.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status


.. image:: https://pyup.io/repos/github/fahima-islam/c3dp/shield.svg
     :target: https://pyup.io/repos/github/fahima-islam/c3dp/
     :alt: Updates

mcstas: http://mcstas.org/
MCViNE: https://mcvine.org

design of 3D printed high pressure cell collimator
-----------------------------------------------------------

.. image:: https://raw.githubusercontent.com/Fahima-Islam/c3dp/master/figures/Screenshot%20from%202019-04-23%2011-51-49.png
   :width: 300pt

.. image:: https://raw.githubusercontent.com/Fahima-Islam/c3dp/master/figures/coll_performance.png
   :width: 300pt
   
gauge volume example: https://github.com/Fahima-Islam/c3dp/blob/gauge_volume/notebooks/gauge_volume.ipynb

.. image:: https://raw.githubusercontent.com/Fahima-Islam/c3dp/gauge_volume/figures/gauge_volume.png
   :width: 300pt

Features
--------

* Simulation of the the diffractometer
* SImulation of the pressure cell
* Optimization of  the collimator for the given pressure cell
* Produced the .stl or .scad file of the collimator to be 3D printed
* Produced the comparison in the diffraction pattern for with and without collimator

Installation
------------
* Install mcvine 

.. code-block:: shell

    $ conda create -n mcvine python=2.7         # create an environment for mcvine
    $ source activate mcvine                    # activate mcvine environment
    $ conda config --add channels conda-forge   # add conda channels
    $ conda config --add channels diffpy
    $ conda config --add channels mantid
    $ conda config --add channels mcvine
    $ conda install numpy                       # install
    $ conda install mcvine

* Install mcstast

    `mcstas <http://downloads.mcstas.org/>`_

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2019-04-22)
------------------

* First release on PyPI.