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Addressing Large Hadron Collider Challenges by Machine Learning

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Addressing Large Hadron Collider Challenges by Machine Learning
National Research University Higher School of Economics Online Course Highlights
  • 5 weeks long
  • 20 hours to complete
  • Learn for FREE, Ugpradable
  • Self-Paced
  • Taught by: Andrei Ustyuzhanin, Mikhail Hushchyn
  • View Course Syllabus

Online Course Details:

The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the big data, the data is gigantic. Just one of the four experiments generates thousands gigabytes per second. The intensity of data flow is only going to be increased over the time. So the data processing techniques have to be quite sophisticated and unique. In this course we’ll introduce students into the main concepts of the Physics behind those data flow so the main puzzles of the Universe Physicists are seeking answers for will be much more transparent.

Of course we will scrutinize the major stages of the data processing pipelines, and focus on the role of the Machine Learning techniques for such tasks as track pattern recognition, particle identification, online real-time processing (triggers) and search for very rare decays. The assignments of this course will give you opportunity to apply your skills in the search for the New Physics using advanced data analysis techniques. Upon the completion of the course you will understand both the principles of the Experimental Physics and Machine Learning much better.
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