Jupyter notebooks demonstrating mbtrack2 features are available in the example folder and can be opened online using google colab:
+ mbtrack2 base features [](https://colab.research.google.com/github/GamelinAl/mbtrack2_examples/blob/main/mbtrack2_demo.ipynb)
References
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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.