Winter 2021 topical meeting on VBS: VBS at Snowmass

Session

LHC

25 Jan 2021, 14:00

Conveners

LHC: Run 3 - ATLAS/CMS

• Pietro Govoni (Universita & INFN, Milano-Bicocca (IT))

LHC: Run III - Prospects

• Pietro Govoni (Universita & INFN, Milano-Bicocca (IT))

LHC: HL-LHC, part 1

• Diogo Buarque Franzosi (Chalmers University of Technology)

LHC: HL-LHC, part 2

• Michele Gallinaro (LIP Lisbon)

34. Welcome

Pietro Govoni (Universita & INFN, Milano-Bicocca (IT))

25/01/2021, 14:00

18. Precise theoretical predictions for VBS

Ansgar Denner (Julius Max. Universitaet Wuerzburg (DE))

25/01/2021, 14:15

7. ATLAS VBS Results

Joany Manjarres (Technische Universitaet Dresden (DE))

25/01/2021, 14:45

8. CMS VBS results

Kenneth Long (CERN)

25/01/2021, 15:15

11. Review of ATLAS projections on VBS

Kristin Lohwasser (University of Sheffield (GB))

25/01/2021, 16:15

19. Review of CMS projections on VBS

Flavia Cetorelli (Universita & INFN, Milano-Bicocca (IT))

25/01/2021, 16:45

12. lessons learned from LHC data up to now, and outlook

Marc Riembau (Université de Genève)

26/01/2021, 14:00

13. HL-LHC performance CMS

Matteo Marchegiani (ETH Zurich (CH))

26/01/2021, 14:30

14. HL-LHC performance ATLAS

Karolos Potamianos (University of Oxford (GB))

26/01/2021, 14:50

20. MC challenges and implementation of EW shower in VINCIA

Rob Verheyen

26/01/2021, 15:10

15. New physics at LH-LHC with VBS signatures

Richard Ruiz (Polish Academy of Sciences (PL))

26/01/2021, 16:00

21. Machine Learning for VBS

Thea Aarrestad (CERN)

26/01/2021, 16:30

10. Expected improvements for Run III

expected improvements on experimental measurements for Run 3: trigger, jet reconstruction, jet identification, V identification,... (two speakers that agree on how to do the presentation) 30’

9. Expected improvements on experimental measurements for Run 3:

trigger, jet reconstruction, jet identification, V identification,... (two speakers that agree on how to do the presentation) 30’

22. QCD-Aware Recursive Neural Networks for Jet Physics

16. Tools for monte-carlo studie