Skip to main content
← Back to work

Works cited by this work

59 works

Work: Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC

  1. Geant4—a simulation toolkit

    S. Agostinelli, John E. Allison, B. R. Ko +97

    Article2003139 citations
    ABI
  2. An introduction to PYTHIA 8.2

    Torbjörn Sjöstrand, Stefan Ask, J. Christiansen +7

    Article2015116 citations
    ABI
  3. The anti-<i>k</i><sub><i>t</i></sub>jet clustering algorithm

    Matteo Cacciari, Gavin P Salam, Gregory Soyez

    Article2008105 citations
    ABI
  4. FastJet user manual

    Matteo Cacciari, Gavin P. Salam, Gregory Soyez

    Article201299 citations
    ABI
  5. A New Method for Combining NLO QCD with Shower Monte Carlo Algorithms

    Paolo Nason

    Article200473 citations
    ABI
  6. Asymptotic formulae for likelihood-based tests of new physics

    Glen Cowan, Kyle Cranmer, Eilam Gross +1

    Article201163 citations
    ABI
  7. Jet flavour classification using DeepJet

    E. S. Bols, J. Kieseler, M. Verzetti +2

    Article202047 citations
    ABI
  8. Fitting using finite Monte Carlo samples

    R. J. Barlow, C. Beeston

    Article199342 citations
    ABI
  9. Pileup per particle identification

    Daniele Bertolini, P. Harris, Matthew Low +1

    Article201433 citations
    ABI
  10. The CMS experiment at the CERN LHC

    S. Chatrchyan, G. Hmayakyan, V. Khachatryan +97

    Article200830 citations
    ABI
  11. The CMS trigger system

    V. Khachatryan, A. M. Sirunyan, A. Tumasyan +97

    Article201728 citations
    ABI
  12. Particle-flow reconstruction and global event description with the CMS detector

    A. M. Sirunyan, A. Tumasyan, W. Adam +97

    Article201725 citations
    ABI