Indico has been updated to v3.3. See our blog post for details on this release. (OTG0146394)

Topic of the Week

Sunrise - WH11NE (Fermilab)

Sunrise - WH11NE


Jamie Antonelli (The Ohio State University (US))
    • 3:00 PM 4:00 PM
      How much information is in a jet? 1h

      Machine learning techniques are increasingly being applied toward data analyses at the Large Hadron Collider, especially with applications for discrimination of jets with different originating particles. In this talk, I will review machine learning at the LHC and discuss a systematic and constructive approach to extracting the information necessary for discrimination. By measuring observables on jets that completely and minimally span N-body phase space, we are able to reduce the problem in a controlled and theoretically well-defined way. For the application of discrimination of QCD jets versus boosted hadronically-decaying Z bosons, we show that discrimination power is saturated by only considering observables that are sensitive to 4-body (8 dimensional) phase space.

      Speakers: Andrew Larkoski (Massachusetts Institute of Technology), Andrew Larkoski (Reed Collge), Andrew Larkoski (Harvard University), Andrew Larkoski (SLAC)