LHC Theory Initiative Fellows Meeting 2017

Session

Plenary

10 Feb 2017, 09:00

Madrone Conference Room (Room 224, Bldg 48) (SLAC National Accelerator Laboratory)

1. Welcome

Michael Peskin

10/02/2017, 09:00

2. The state of the art in LHC event simulation

Stefan Hoeche (SLAC)

10/02/2017, 09:15

5. Jet substructure at high precision

Andrew Larkoski

10/02/2017, 10:00

6. Probing the top quark with di-photon and photon+X production at the LHC

Dr Won Sang Cho (Seoul National University)

10/02/2017, 11:00

7. Precision top quark mass determination at the LHC with jet grooming

Sonny Mantry (University of North Georgia)

10/02/2017, 11:30

8. Confronting jet quenching with jet grooming: jet substructure in heavy ion collisions

Yang-Ting Chien (Harvard University)

10/02/2017, 12:00

11. Machine learning for LHC applications

Francesco Rubbo (SLAC National Accelerator Laboratory (US))

10/02/2017, 13:45

9. Machine learning beyond physics from a physicist's perspective

Jon Walsh (UC Berkeley)

10/02/2017, 14:30

10. Software consulting with skills from particle physics

Michael Fickinger

10/02/2017, 15:00

12. Blind spots for neutralino dark matter

Peisi Huang (University of Wisconsin-Madison (US))

10/02/2017, 16:00

17. Dark matter searches at dark matter "colliders"

Doojin Kim (CERN)

10/02/2017, 16:30

3. Dark Matter Theory: Current status and detection prospects

Kathryn Zurek (LBNL)

10/02/2017, 17:00

19. Relaxion from particle production

Gustavo Marques Tavares (Stanford University)

11/02/2017, 09:00

20. Parton distributions for LHC applications

Pavel Nadolsky (Southern Methodist University)

11/02/2017, 09:30

13. Vector boson production in joint resummation

Vincent Theeuwes (SUNY, Buffalo)

11/02/2017, 10:00

18. New ideas on long-lived superparticles with hadronic decays at the LHC

Zhen Liu (Fermilab)

11/02/2017, 11:00

15. Type-I 2 Higgs doublet model and the 13 TeV tth "excess"

Daniele Alves

11/02/2017, 11:30

16. Nnaturalness

Tim Cohen (University of Oregon)

11/02/2017, 12:00

4. Machine learning for LHC applications

Ariel Gustavo Schwartzman (SLAC National Accelerator Laboratory (US))

14. Parton distributions for LHC applications

Pavel Nadolsky (Southern Methodist University)