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92 ta ish

Ish: Reweighting simulated events using machine-learning techniques in the CMS experiment

  1. An introduction to PYTHIA 8.2

    Torbjörn Sjöstrand, Stefan Ask, J. Christiansen +7

    Maqola2015116 iqtibos
    ABI

  2. The anti-<i>k</i><sub><i>t</i></sub>jet clustering algorithm

    Matteo Cacciari, Gavin P Salam, Gregory Soyez

    Maqola2008105 iqtibos
    ABI

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

    Simone Alioli, Paolo Nason, Carlo Oleari +1

    Maqola201084 iqtibos
    ABI

  4. Matching NLO QCD computations with parton shower simulations: the POWHEG method

    Stefano Frixione, Paolo Nason, Carlo Oleari

    Maqola200783 iqtibos
    ABI

  5. XGBoost

    Tianqi Chen, Carlos Guestrin

    Maqola201639 iqtibos
    ABI

  6. A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction

    Stefano Frixione, Giovanni Ridolfi, Paolo Nason

    Maqola200738 iqtibos
    ABI

  7. The CMS experiment at the CERN LHC

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

    Maqola200830 iqtibos
    ABI

  8. Tuning PYTHIA 8.1: the Monash 2013 tune

    P. Skands, S. Carrazza, J. Rojo

    Maqola201427 iqtibos
    ABI

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

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

    Maqola202021 iqtibos
    ABI

  10. Total Top-Quark Pair-Production Cross Section at Hadron Colliders Through<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi mathvariant="script">O</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:msubsup><mml:mi>α</mml:mi><mml:mi>S</mml:mi><mml:mn>4</mml:mn></mml:msubsup><mml:mo stretchy="false">)</mml:mo></mml:math>

    M. Czakon, Paul Fiedler, Alexander Mitov

    Maqola201314 iqtibos
    ABI

  11. NLO Higgs boson production via gluon fusion matched with shower in POWHEG

    Simone Alioli, Paolo Nason, Carlo Oleari +1

    Maqola200910 iqtibos
    ABI

  12. Parameterized neural networks for high-energy physics

    Pierre Baldi, Kyle Cranmer, Taylor Faucett +2

    Maqola20168 iqtibos
    ABI

  13. Percent-Level-Precision Physics at the Tevatron: Next-to-Next-to-Leading Order QCD Corrections to<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>q</mml:mi><mml:mover accent="true"><mml:mi>q</mml:mi><mml:mo>¯</mml:mo></mml:mover><mml:mo>→</mml:mo><mml:mi>t</mml:mi><mml:mover accent="true"><mml:mi>t</mml:mi><mml:mo>¯</mml:mo></mml:mover><mml:mo mathvariant="bold">+</mml:mo><mml:mi>X</mml:mi></mml:math>

    Peter Bärnreuther, M. Czakon, Alexander Mitov

    Maqola20127 iqtibos
    ABI

  14. NNLO corrections to top-pair production at hadron colliders: the all-fermionic scattering channels

    M. Czakon, Alexander Mitov

    Maqola20127 iqtibos
    ABI

  15. NNLO corrections to top pair production at hadron colliders: the quark-gluon reaction

    Michal Czakon, Alexander Mitov

    Maqola20137 iqtibos
    ABI

  16. Sarlavhasiz

    Boshqa7 iqtibos
    ABI

  17. A comprehensive guide to the physics and usage of PYTHIA 8.3

    Christian Bierlich, Smita Chakraborty, Nishita Desai +11

    Maqola20227 iqtibos
    ABI

  18. Sarlavhasiz

    Boshqa6 iqtibos
    ABI

  19. Hadronic top-quark pair production with NNLL threshold resummation

    Μ. Beneke, P. Falgari, S. B. Klein +1

    Maqola20116 iqtibos
    ABI

  20. Sarlavhasiz

    Boshqa5 iqtibos
    ABI

  21. e + e − Production of heavy quarks in the string model

    M. G. Bowler

    Maqola19814 iqtibos
    ABI

  22. Measurement of the $${\mathrm {t}\overline{\mathrm {t}}}$$ t t ¯ production cross section, the top quark mass, and the strong coupling constant using dilepton events in pp collisions at $$\sqrt{s}=13\,\text {Te}\text {V} $$ s = 13 Te

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

    Maqola20194 iqtibos
    ABI

  23. Measurement of the top quark mass in the all-jets final state at $$\sqrt{s}=13\,\text {TeV} $$ s = 13 TeV and combination with the lepton+jets channel

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

    Maqola20194 iqtibos
    ABI

  24. MiNNLO$$_{\text {PS}}$$: optimizing $$2\rightarrow 1$$ hadronic processes

    Pier Francesco Monni, Emanuele Ré, Marius Wiesemann

    Maqola20204 iqtibos
    ABI

  25. Sarlavhasiz

    Boshqa4 iqtibos
    ABI