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README.md

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    README.md 2.08 KiB

    mbtrack2

    mbtrack2 is a coherent object-oriented framework written in python to work on collective effects in synchrotrons.

    mbtrack2 is composed of different modules allowing to easily write scripts for single bunch or multi-bunch tracking using MPI parallelization in a transparent way. The base of the tracking model of mbtrack2 is inspired by mbtrack, a C multi-bunch tracking code initially developed at SOLEIL.

    Installation

    Clone the mbtrack2 repo and enter the repo:

    git clone https://gitlab.synchrotron-soleil.fr/PA/collective-effects/mbtrack2.git
cd mbtrack2

    Using conda

    To create a new conda environment for mbtrack2 run:

    conda env create -f mbtrack2.yml
conda activate mbtrack2

    Or to update your current conda environment to be able to run mbtrack2:

    conda env update --file mbtrack2.yml

    To test your installation run:

    from mbtrack2 import *

    Using pip

    Run:

    pip install -r requirements.txt

    To test your installation run:

    from mbtrack2 import *

    Examples

    Jupyter notebooks demonstrating mbtrack2 features are available in the example folder and can be opened online using google colab:

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