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Matrix Element Method at NLO for (anti-)$\mathbf{k_t}$-jet algorithms

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arxiv 1901.08008 v2 pith:C7P6IUOC submitted 2019-01-23 hep-ph hep-ex

classification hep-phhep-ex
keywords methodeventscalculateeventanti-elementgenerategiven
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

In this article, we present a method to calculate a posteriori event weights at next-to-leading-order (NLO) QCD accuracy for a given jet event defined by the (anti-)$k_t$ algorithm relying on the conventional $2\to 1$ recombination. This is an important extension compared to existing Monte-Carlo tools which generate jet events together with the corresponding weight but do not allow one to calculate the weight for a given event. The method can be used to generate unweighted events distributed according to the fixed-order NLO cross section. In addition, the method allows one to calculate NLO accurate weights for events recorded by experiments. The potential of this ability is illustrated by applying the Matrix Element Method (MEM) to single top-quark events generated with POWHEG in combination with Pythia. For the first time, a systematic study of parton shower effects within the MEM is provided. The method is completely general and can be applied to arbitrary LHC processes.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Exploring BSM Higgs couplings in single top-quark production

    hep-ph 2019-08 conditional novelty 5.0 of 10

    A simulated LHC analysis shows that the Matrix Element Method could extract the top-Higgs CP-mixing angle to about one degree with 300 inverse femtobarns, and a 5-sigma discovery would need about 20 inverse femtobarns...

  2. Towards a generic implementation of matrix-element maximisation as a classifier in particle physics

    hep-ph 2019-08 conditional novelty 5.0 of 10

    Matrix-element maximisation classifies ttH events with 60-85% of the significance of the traditional integration-based MEM while being up to two orders of magnitude faster.

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