Introduction to SWAN
CERN provides a web-based interactive analysis platform called SWAN (Service for Web-based Analysis). SWAN is built on Jupyter notebooks, which allow you to write and execute python code interactively. SWAN provides access to CERN software, computing resources and storage for use in your analysis.
If you are following this tutorial at a different venue, your instructor might have you use an alternative system.
Start a session
To start a SWAN session, navigate to https://swan.cern.ch/ and sign in with your CERN credentials. Begin a new session with the following settings:
- Software stack: 102
- Platform: CentOS 7 (gcc11)
- Environment script: default
- Number of cores: 4
- Memory: 16 GB
- Spark Cluster: None
Click on the terminal icon on the top right of the screen:
In the new terminal, clone the ntuple analysis git repo:
git clone https://gitlab.cern.ch/atlas-analysis-sw-tutorial/plotting.git
Click on the cloud home icon:
Go to the CERNBox tab:
Click on plotting and then open the appropriate
Jupyter notebook (ipynb file).