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LHC Theory Initiative Fellows Meeting 2017

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

Contribution List

20 out of 20 displayed
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  1. 1. Welcome
    Michael Peskin
    10/02/2017, 09:00
  2. 2. The state of the art in LHC event simulation
    Stefan Hoeche (SLAC)
    10/02/2017, 09:15
  3. 5. Jet substructure at high precision
    Andrew Larkoski
    10/02/2017, 10:00
  4. 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
  5. 7. Precision top quark mass determination at the LHC with jet grooming
    Sonny Mantry (University of North Georgia)
    10/02/2017, 11:30
  6. 8. Confronting jet quenching with jet grooming: jet substructure in heavy ion collisions
    Yang-Ting Chien (Harvard University)
    10/02/2017, 12:00
  7. 11. Machine learning for LHC applications
    Francesco Rubbo (SLAC National Accelerator Laboratory (US))
    10/02/2017, 13:45
  8. 9. Machine learning beyond physics from a physicist's perspective
    Jon Walsh (UC Berkeley)
    10/02/2017, 14:30
  9. 10. Software consulting with skills from particle physics
    Michael Fickinger
    10/02/2017, 15:00
  10. 12. Blind spots for neutralino dark matter
    Peisi Huang (University of Wisconsin-Madison (US))
    10/02/2017, 16:00
  11. 17. Dark matter searches at dark matter "colliders"
    Doojin Kim (CERN)
    10/02/2017, 16:30
  12. 3. Dark Matter Theory: Current status and detection prospects
    Kathryn Zurek (LBNL)
    10/02/2017, 17:00
  13. 19. Relaxion from particle production
    Gustavo Marques Tavares (Stanford University)
    11/02/2017, 09:00
  14. 20. Parton distributions for LHC applications
    Pavel Nadolsky (Southern Methodist University)
    11/02/2017, 09:30
  15. 13. Vector boson production in joint resummation
    Vincent Theeuwes (SUNY, Buffalo)
    11/02/2017, 10:00
  16. 18. New ideas on long-lived superparticles with hadronic decays at the LHC
    Zhen Liu (Fermilab)
    11/02/2017, 11:00
  17. 15. Type-I 2 Higgs doublet model and the 13 TeV tth "excess"
    Daniele Alves
    11/02/2017, 11:30
  18. 16. Nnaturalness
    Tim Cohen (University of Oregon)
    11/02/2017, 12:00
  19. 4. Machine learning for LHC applications
    Ariel Gustavo Schwartzman (SLAC National Accelerator Laboratory (US))
  20. 14. Parton distributions for LHC applications
    Pavel Nadolsky (Southern Methodist University)