Online Open Data Analysis
Explore ATLAS open datasets and physics analyses directly from your browser with the help of our cloud computing resources. These "Jupyter notebooks" allow you to easily interact with the data without downloading files or writing code. If you have a CERN computing account, you can also explore these notebooks through the SWAN cloud computing service.
- Analyse ATLAS Open Data with Jupyter Notebooks (open to everyone)
- Read the documentation on how to use the Jupyter notebooks.
- SWAN service (CERN internal)
Offline Open Data Analysis
The best way to analyse ATLAS Open Data offline is using our "Virtual Machines". This simple set-up includes all of the 13 TeV software and tools, and can be saved directly on your hard drive. They are extremely easy to set-up and use, having been tested by students from all over the world!
- Download the ATLAS Virtual Machines.
- Read the documentation on how to install and use Virtual Machines.
Download the Open Data
All of ATLAS's open datasets and resources are available on the CERN Open Data Portal. All datasets on the portal are shared under a Creative Commons CC0 public domain dedication; the data and software are assigned unique DOI identifiers to make them citable in scientific articles; and software is released under open source licenses.
- Download the ATLAS 13 TeV datasets.
- Read the full documentation on how to use the ATLAS 13 TeV datasets, softwares and tools.
8 TeV Open Data resources
ATLAS released its first open data in 2016, making public 1 fb-1 of 8 TeV data that is still in use for many individuals and institutions. One of the best tools to study ATLAS 8 TeV (and 13 TeV) Open Data is the “Histogram Analyser”, which allow users to explore physics concepts in a graphical way.
- Explore 8 TeV Open Data documentation and tutorials.
- Download the ATLAS 8 TeV datasets.
- Visualise ATLAS Open Data with the Histogram Analyser