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LHC Theory Initiative Fellows Meeting 2017

10–11 Feb 2017
SLAC National Accelerator Laboratory
US/Pacific timezone

Contribution List

20 / 20
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)
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