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Jets and their substructure from LHC data

31 May 2021 to 3 June 2021
CERN
Europe/Zurich timezone

Session

Discussions

31 May 2021, 17:30
On-line only (CERN)

On-line only

CERN

Presentation materials

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  1. 32. Precision predictions for jet rates
    Rene Poncelet (Cambridge University)
    31/05/2021, 17:30
  2. 34. PDF fits using 3D dijet data
    Jakob Karl Stark (KIT - Karlsruhe Institute of Technology (DE)), Klaus Rabbertz (KIT - Karlsruhe Institute of Technology (DE))
    31/05/2021, 17:50
  3. 35. A Comparative Machine Learning Study of Color Tagger Variables in VH(bb) with Fast Detector Simulation
    Alberto Rescia (University of Pavia and INFN (IT))
    01/06/2021, 11:00
  4. 36. Recoil-free azimuthal angle for precision boson-jet correlation at the LHC
    Dingyu Shao (Fudan University (CN))
    01/06/2021, 11:20
  5. 37. NNLO QCD predictions for W+c-jet production at the LHC
    Mathieu Pellen (University of Freiburg)
    01/06/2021, 17:30
  6. 38. Evolution of Track functions at order alpha_s^2
    Solange Schrijnder van Velzen
    01/06/2021, 17:50
  7. 39. Soft drop momentum sharing fraction zg beyond LL accuracy
    Pedro Cal (University of Amsterdam)
    02/06/2021, 11:00
  8. 40. Investigating top tagging with N-subjettiness and prong finding
    Jack Helliwell (University of Manchester)
    02/06/2021, 11:20
  9. 33. Rethinking jets
    Ian James Moult
    02/06/2021, 17:30
  10. 41. Spin-sensitive jet observables and their resummation
    Alexander Karlberg (University of Oxford)
    02/06/2021, 17:50
  11. 42. Deep learning jet modifications in heavy-ion collisions
    Yilun Du (University of Bergen)
    03/06/2021, 11:00
  12. 45. Measuring QCD Splittings with Invertible Networks
    Theo Heimel (Universität Heidelberg)
    03/06/2021, 11:20
  13. 43. Boosted Top Quark Tagging and Polarization Measurement using Machine Learning
    Soham Bhattacharya (Deutsches Elektronen-Synchrotron (DE))
    03/06/2021, 17:30
  14. 44. Combine and Conquer: Event Reconstruction with Bayesian Ensemble Neural Networks
    Jack Araz (IPPP - Durham University)
    03/06/2021, 17:50
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