ATLAS PhD student Meirin Oan Evans explores how the University of Sussex is incorporating ATLAS Open Data into their teaching – and shares his experience using this incredible resource.

The ATLAS Collaboration at CERN has just released the first open dataset from the Large Hadron Collider’s (LHC) highest-energy run at 13 teraelectronvolts (TeV). The new release is specially developed for science education, underlining the Collaboration’s long-standing commitment to students and teachers using open-access ATLAS data and related tools.

What if you could test a new theory against LHC data? Better yet, what if the expert knowledge needed to do this was captured in a convenient format? This tall order is now on its way from the ATLAS Collaboration, with the first open release of full analysis likelihoods from an LHC experiment.

Since the beginning of ATLAS, collaboration members have devoted hours, days, weeks and months teaching High Energy Physics (HEP) to anyone willing to listen. But sometimes those willing to listen do not have the means, especially when oceans and continents separate them from our experiment in Geneva. How can we overcome these geographical distances to allow anyone interested in HEP to learn?

The ATLAS Open Data platform is inspiring new ways to teach high-energy physics. Universities can incorporate the data into their curriculum, giving their students hands-on analysis experience and introducing them to the world of research.

On Friday 29 July, the ATLAS experiment at CERN released the data from 100 trillion proton-proton collisions to the public. This includes the world’s first open release of 8 TeV data, gathered from the Large Hadron Collider in 2012, making it the most current high-energy physics open data.

The dataset from the ATLAS Higgs Machine Learning Challenge has been released on the CERN Open Data Portal.