IRN Terascale@Bruxelles

Session

Tools

17 oct. 2019, 14:00

Salle Solvay (Brussels)

52. MoMEMta and Deep Neural Networks, a method to produce Matrix Element weights for LHC analyses

Florian Bury (UCLouvain - CP3)

17/10/2019 14:00

53. Statistical fluctuations and artificial constraints on systematic uncertainties

Andrey Popov (Université libre de Bruxelles)

17/10/2019 14:25

54. Novelty Detection Meets Collider Physics

Jan Hajer

17/10/2019 14:50

55. How to GAN LHC events

Anja Butter (ITP)

17/10/2019 15:15

56. MadDM v3: towards a comprehensive tool for Dark Matter studies

Chiara Arina (UCLouvain)

17/10/2019 16:10

57. Polarization in MG_aMC@NLO

Richard Ruiz (Universite Catholique de Louvain)

17/10/2019 16:35

58. Top production at large pT at NLO+NLL accuracy

Matteo Cacciari (LPTHE)

17/10/2019 17:00

18. 2HDECAY

Marcel Krause (Karlsruhe Institute of Technology (KIT))

20. Deep-Learning Jets with Uncertainties

Michel Luchmann (Universität Heidelberg, ITP)

19. DeepEfficiency

Mikael Mieskolainen (University of Helsinki)

17. Factorisation and Subtraction beyond NLO

Chiara Signorile-Signorile (University of Torino)

23. Recent Improvements for the Lepton Propagator PROPOSAL

Alexander Sandrock (Technische Universität Dortmund)

21. ReSyst: a novel technique to Reduce the Systematic uncertainty

Petra Van Mulders (IIHE - Vrije Universiteit Brussel)

16. Revisiting RGEs for general gauge theories

Kseniia Svirina (LPSC, Université Grenoble Alpes)

22. TURTLE: A C library for an optimistic stepping through a topography

Valentin Niess (LPC, Clermont)