Jupyter for Accelerator Physics
R. Nagler, P. Moeller, D.L. Bruhwiler, C. Hall, N. Cook
Visit on figshare: slides
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.
Bibliography
- RadiaSoft Public JupyterHub Server
- RadiaSoft User Customization on GitHub
- Curl Installer library on GitHub
- Docker and Vagrant Builder on GitHub
- Beamsim image on GitHub
- Jupyter image on GitHub
- JupyterHub image on GitHub
- RSConf (Configuration Management Tool) on GitHub
- RSDockerSpawner on GitHub
- RadiaSoft on Docker Hub
- USPAS
- elegant
- EPICS
- FBPIC
- JSPEC
- OPAL
- Radia
- Shadow3
- SRW
- Synergia
- Warp
- Zgoubi
- SciPy
- TensorFlow
- TeX