One of the services available at the US ATLAS analysis facilities is the Jupyter Lab enviroment. Some of the Jupyter kernels available there includes:
- python2 with pyroot and uproot, some allows users to load an ATLAS analysis releases in order to access xAODs.
- python3 with pyroot and uproot.
- python3 with ML packages such as Tensorflow and Keras, with support of Nvidia GPUs.
- Terminal console for simple interactive use, e.g. file managements.
Use the following links to access the Jupyter environment at the AFs, or access site specific documents on Jupyter.
- BNL JupyterLab and documents.
- SLAC JupyterLab and documents.
- SLAC is migrating to a new computing facility SDF. As a result, we recently made some change to the SLAC JupyterLab portal. If you haven't read and prepare yourself for "SLAC ID", please refer to "SDF: New SLAC ..." to estiblish your "SLAC ID", then
ssh sdf-login01.slac.stanford.edufor the first time. - The SLAC JupyterLab link above will change in the near future as the migration continue. When that happens, we will update the above link.
- When asked to choose an identity provider, please choose "SLAC National Accelerator Laboratory" and then use your "SLAC ID" to login.
- SLAC is migrating to a new computing facility SDF. As a result, we recently made some change to the SLAC JupyterLab portal. If you haven't read and prepare yourself for "SLAC ID", please refer to "SDF: New SLAC ..." to estiblish your "SLAC ID", then