Installation

MCViNE can be installed in most of recent linux distributions by using conda

$ conda create -n mcvine python=3.6         # 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 mcvine

To install conda on a linux distribution, please refer to miniconda quick install.

If you want to build mcvine from source, please refer to the mcvine conda recipes.

Optional dependencies

If we want to use MCPL data files from mcstas simulations, mcpl python package need to be installed ($ pip install mcpl).

Other packages that may be useful

• lmfit

• tqdm

• awscli

Install the latest unstable build

Latest build of mcvine can be installed by

$ conda install -c mcvine/label/unstable mcvine python=3.6