Helsinki JetMET workshop: physics at 100 fb-1

Session

Day 1

10 May 2017, 14:15

Exactum CK112 (University of Helsinki, Kumpula campus)

6. Pileup performance at 100 fb-1

Philip Coleman Harris (CERN)

10/05/2017, 14:15

Current status of the best pileup subtraction algorithms, PUPPI and SoftKiller, by the original authors.

7. Substructure

Mrinal Dasgupta (University of Manchester (GB)), Mrinal Dasgupta (Unknown)

10/05/2017, 14:45

(pruning, soft drop, theory), + W,top,H tagging, boosted (theory)

34. Top mass aspirations at 100 fb-1

Martijn Mulders (CERN)

10/05/2017, 15:15

What would it take experimentally to get the top quark mass uncertainty to 0.2 GeV with 100 fb-1? Advanced NLOxPS generators, better PS model such as Vincia, new methods, Z+b response? Data-based flavor responses, better use of W->qq' mass peak, 3D R_bq from ATLAS?

8. Top quark mass: what is it and should it be?

Andre Hoang (University of Vienna)

10/05/2017, 16:15

Review on what are we measuring with the top quark mass (MC mass), how it is related to theory (pole mass, MSbar mass), and how we could strengthen the link between theory and experiment when experimental precision reaches 0.2 GeV.

9. IML: Inter-Experimental LHC Machine Learning Working Group

Steven Randolph Schramm (Universite de Geneve (CH))

10/05/2017, 16:45

Introduction to the work and goals of IML, and how this ties to JetMET work.

10. DeepFlavour: deep neural network for all flavors

Jan Kieseler (CERN)

10/05/2017, 17:15

State-of-the art in quark (and gluon) flavor discrimination with deep neural networks at CMS.