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Works cited by this work

63 works

Work: Measurement of the production cross section for a W boson in association with a charm quark in proton–proton collisions at $\sqrt{s} = 13\,\hbox {TeV}$

  1. Geant4—a simulation toolkit

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

    Article2003139 citations
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  2. An introduction to PYTHIA 8.2

    Torbjörn Sjöstrand, Stefan Ask, J. Christiansen +7

    Article2015116 citations
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  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. The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

    Johan Alwall, Rikkert Frederix, Stefano Frixione +7

    Article201499 citations
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  5. FastJet user manual

    Matteo Cacciari, Gavin P. Salam, Gregory Soyez

    Article201299 citations
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  6. A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX

    Simone Alioli, Paolo Nason, Carlo Oleari +1

    Article201084 citations
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  7. Parton distributions from high-precision collider data

    Richard D. Ball, Valerio Bertone, Stefano Carrazza +12

    Article201784 citations
    ABI

  8. Merging meets matching in MC@NLO

    Rikkert Frederix, Stefano Frixione

    Article201259 citations
    ABI

  9. Parton distributions for the LHC run II

    Richard D. Ball, Valerio Bertone, Stefano Carrazza +8

    Article201554 citations
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  10. PDF4LHC recommendations for LHC Run II

    J. M. Butterworth, Stefano Carrazza, A. M. Cooper-Sarkar +13

    Article201648 citations
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  11. Top++: A program for the calculation of the top-pair cross-section at hadron colliders

    M. Czakon, Alexander Mitov

    Article201436 citations
    ABI

  12. The CMS experiment at the CERN LHC

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

    Article200830 citations
    ABI

  13. The CMS trigger system

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

    Article201728 citations
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  14. Tuning PYTHIA 8.1: the Monash 2013 tune

    P. Skands, S. Carrazza, J. Rojo

    Article201427 citations
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  15. Particle-flow reconstruction and global event description with the CMS detector

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

    Article201725 citations
    ABI

  16. Performance of the CMS Level-1 trigger in proton-proton collisions at √<i>s</i> = 13 TeV

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

    Article202023 citations
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  17. Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements

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

    Article202021 citations
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  18. Review of Particle Physics

    Particle Data Group, Ronald Workman, Volker Burkert +97

    Article202220 citations
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  19. Combining QCD and electroweak corrections to dilepton production in the framework of the FEWZ simulation code

    Ye Li, Frank Petriello

    Article201220 citations
    ABI

  20. Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √<i>s</i>=13 TeV

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

    Article201820 citations
    ABI

  21. Event generator tunes obtained from underlying event and multiparton scattering measurements

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

    Article201619 citations
    ABI

  22. Precision luminosity measurement in proton–proton collisions at $$\sqrt{s} = 13\,\hbox {TeV}$$ in 2015 and 2016 at CMS

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

    Article202118 citations
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  23. Pileup subtraction using jet areas

    Matteo Cacciari, Gavin P. Salam

    Article200717 citations
    ABI

  24. Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV

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

    Article201717 citations
    ABI

  25. Performance of missing transverse momentum reconstruction in proton-proton collisions at √<i>s</i> = 13 TeV using the CMS detector

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

    Article201917 citations
    ABI