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Jupyter for Accelerator Physics

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posted on 11.06.2019, 13:51 by Robert NaglerRobert Nagler, Paul Moeller, David BruhwilerDavid Bruhwiler, Nathan Cook
Jupyter is used extensively at RadiaSoft. We run a public and private JuptyerHub available at jupyter.radiasoft.org. Our Jupyter Docker image contains many popular particle accelerator and FEL beam physics codes, machine learning packages, and extensive visualization support. This talk covers how we use Jupyter and our experience with extending Jupyter and JupyterHub to meet our use cases.


Integrable optics design principles for beam halo suppression in accelerator rings at the intensity frontier

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