mbtrack2 0.5.0

A coherent object-oriented framework to work on collective effects in synchrotrons.

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

Using pip

Run:

pip install mbtrack2

To test your installation run:

from mbtrack2 import *

Using conda

Clone the mbtrack2 repo and enter the repo:

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

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 *

Examples

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

• mbtrack2 base features
• dealing with RF cavities and longitudinal beam dynamics
• collective effects
• bunch by bunch feedback
• RF loops and feedbacks

References

A. Gamelin, W. Foosang, and R. Nagaoka, “mbtrack2, a Collective Effect Library in Python”, presented at the 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, paper MOPAB070.

Yamamoto, Naoto, Alexis Gamelin, and Ryutaro Nagaoka. "Investigation of Longitudinal Beam Dynamics With Harmonic Cavities by Using the Code Mbtrack." Proc. 10th International Partile Accelerator Conference (IPAC’19), Melbourne, Australia, 19-24 May 2019. 2019.