Big data experiments at the LHC - using the ATLAS experiment as example

Kerstin Tackmann

Dr. Kerstin Tackmann

German Electron Synchrotron (DESY) research center

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The ATLAS experiment is one of the two multi-purpose experiments at the Large Hadron Collider at the European Organization for Nuclear Research in Geneva. Since the start of data taking in 2009, it has used proton-proton collisions at centre-of-mass energies of 7, 8, and 13 TeV to perform detailed studies of the processes described by the Standard Model of elementary particle physics, discover a Higgs boson, and to search for particles and phenomena beyond the Standard Model of particle physics.

In this talk Tackmann will give an overview of the ATLAS experiment and its data flow, present some of its results, and give an overview of the usage of Big Data technologies to store, search and retrieve experimental data and metadata, including analytics tools and the use of machine learning techniques.


Dr. Kerstin Tackmann

2016: ERC Starting Grant, Deutsches Elektronen-Synchrotron, Hamburg, Germany

2011-2016: Helmholtz Young Investigator Group Leader, Deutsches Elektronen-Synchrotron, Hamburg, Germany

2008-2011: Research fellow, European Organization for Nuclear Research (CERN), Geneva, Switzerland

2008: PhD in Physics (Experimental particle physics), University of California Berkeley, USA