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Ушбу иш иқтибос қилган ишлар

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

  1. High-Precision Differential Predictions for Top-Quark Pairs at the LHC

    M. Czakon, David Heymes, Alexander Mitov

    Мақола20164 иқтибос
    ABI
  2. Сарлавҳасиз

    Бошқа4 иқтибос
    ABI
  3. Systematic event generator tuning for the LHC

    Andy Buckley, Hendrik Hoeth, Heiko Lacker +2

    Мақола20093 иқтибос
    ABI
  4. Top-quark pair hadroproduction at next-to-next-to-leading order in QCD

    Stefano Catani, Simone Devoto, Massimiliano Grazzini +3

    Мақола20193 иқтибос
    ABI
  5. Reweighting with Boosted Decision Trees

    Alex Rogozhnikov

    Мақола20163 иқтибос
    ABI
  6. Top-pair production at the LHC with MINNLOPS

    Javier Mazzitelli, Pier Francesco Monni, Paolo Nason +3

    Мақола20222 иқтибос
    ABI
  7. Matching fully differential NNLO calculations and parton showers

    Simone Alioli, C. Bauer, Calvin Berggren +3

    Мақола20142 иқтибос
    ABI
  8. Energy flow networks: deep sets for particle jets

    Patrick T. Komiske, Eric M. Metodiev, Jesse Thaler

    Мақола20192 иқтибос
    ABI
  9. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI
  10. Energy flow networks: deep sets for particle jets

    Patrick T. Komiske, Eric M. Metodiev

    Мақола20192 иқтибос
    ABI