Name: Jets and their substructure from LHC data
Start: 2021-05-31T09:00:00+02:00
End: 2021-06-03T19:00:00+02:00
Location: CERN

Jets and their substructure from LHC data

from Monday, 31 May 2021 (09:00) to Thursday, 3 June 2021 (19:00)

Monday, 31 May 2021

13:15 Welcome
Welcome
13:15 - 13:30
Room: On-line only
13:30
13:30 - 17:00
Room: On-line only
Contributions

13:30 ATLAS+CMS: Experimental overview on jets and V+jets - Bugra Bilin (Universite Libre de Bruxelles (BE)) Pavel Starovoitov (Ruprecht Karls Universitaet Heidelberg (DE))

14:50 Precision QCD for jets and V+jets - Thomas Kurt Gehrmann (Universitaet Zuerich (CH))

15:45 Impact of jet data on PDFs and alpha_s - Lucian Harland-Lang (University of Oxford) Tommaso Giani
17:30
17:30 - 19:00
Room: On-line only
Contributions

17:30 Precision predictions for jet rates - Rene Poncelet (Cambridge University)

17:50 PDF fits using 3D dijet data - Jakob Karl Stark (KIT - Karlsruhe Institute of Technology (DE)) Klaus Rabbertz (KIT - Karlsruhe Institute of Technology (DE))
Tuesday, 1 June 2021
11:00
11:00 - 12:30
Room: On-line only
Contributions

11:00 A Comparative Machine Learning Study of Color Tagger Variables in VH(bb) with Fast Detector Simulation - Alberto Rescia (University of Pavia and INFN (IT))

11:20 Recoil-free azimuthal angle for precision boson-jet correlation at the LHC - Dingyu Shao (Fudan University (CN))
13:30
13:30 - 17:00
Room: On-line only
Contributions

13:30 ATLAS+CMS: Experimental overview on heavy-flavoured jets - Andy Buckley (University of Glasgow (GB)) Duong Hai Nguyen (The State University of New York SUNY (US))

14:35 LHCb: Experimental overview on heavy-flavoured jets - Kara Mattioli (University of Michigan (US))

15:30 Flavour tagging in jets: theory vs. experiment - Rhorry Gauld (Nikhef)

16:15 Machine Learning landscape of top tagging - Gregor Kasieczka (Hamburg University (DE))
17:30
17:30 - 19:00
Room: On-line only
Contributions

17:30 NNLO QCD predictions for W+c-jet production at the LHC - Mathieu Pellen (University of Freiburg)

17:50 Evolution of Track functions at order alpha_s^2 - Solange Schrijnder van Velzen
Wednesday, 2 June 2021
11:00
11:00 - 12:30
Room: On-line only
Contributions

11:00 Soft drop momentum sharing fraction zg beyond LL accuracy - Pedro Cal (University of Amsterdam)

11:20 Investigating top tagging with N-subjettiness and prong finding - Jack Helliwell (University of Manchester)
13:30
13:30 - 17:00
Room: On-line only
Contributions

13:30 ATLAS+CMS: Jet substructure measurements - Andreas Hinzmann (Hamburg University (DE)) Ben Nachman (Lawrence Berkeley National Lab. (US))

14:35 ALICE: Jet substructure measurements - Ezra Douglas Lesser (University of California Berkeley (US))

15:30 New theory challenges in jet substructure - Gregory Soyez (IPhT, CEA Saclay)

16:15 Theoretical precision for jet substructure - Andrew Larkoski (Reed Collge)
17:30
17:30 - 19:00
Room: On-line only
Contributions

17:30 Rethinking jets - Ian James Moult

17:50 Spin-sensitive jet observables and their resummation - Alexander Karlberg (University of Oxford)
Thursday, 3 June 2021
11:00
11:00 - 12:30
Room: On-line only
Contributions

11:00 Deep learning jet modifications in heavy-ion collisions - Yilun Du (University of Bergen)

11:20 Measuring QCD Splittings with Invertible Networks - Theo Heimel (Universität Heidelberg)
13:30
13:30 - 17:00
Room: On-line only
Contributions

13:30 ATLAS+CMS: Measurements involving tagging techniques - Benedikt Maier (CERN) Trisha Farooque (Michigan State University (US))

14:45 Image-Based Jet Analysis and its application to experiments - Michael Aaron Kagan (SLAC National Accelerator Laboratory (US))

15:45 Theory perspective on ML jet analyses and the interpretability of their results - Jesse Thaler (MIT)
17:30
17:30 - 19:00
Room: On-line only
Contributions

17:30 Boosted Top Quark Tagging and Polarization Measurement using Machine Learning - Soham Bhattacharya (Deutsches Elektronen-Synchrotron (DE))

17:50 Combine and Conquer: Event Reconstruction with Bayesian Ensemble Neural Networks - Jack Araz (IPPP - Durham University)

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