Decay and polarization properties of the top quark

Dalitz, R.H.; Goldstein, Gary R.

doi:10.1103/physrevd.45.1531

Cited by 151 publications

(126 citation statements)

References 15 publications

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“…Some further comments on matrix-element reweighting and its practical usage in MadGraph5 aMC@NLO are given in appendix B.5. We finally turn to discussing the matrix-element method [128][129][130], which can be seen as a reweighting one because the weights determined at the parton level through matrixelement computations are possibly modified by a convolution to take into account a variety of blurring effects (such as those due to a detector). On the other hand, from the practical point of view it turns out to be more convenient, rather than talking about reweighting factors, to introduce a likelihood P (q|α) for the observation of a given kinematic configuration (q) given a set of theoretical assumptions (α).…”

Section: Jhep07(2014)079mentioning

confidence: 99%

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

Alwall

Frederix

Frixione

et al. 2014

J. High Energ. Phys.

5,883

5,572

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We discuss the theoretical bases that underpin the automation of the computations of tree-level and next-to-leading order cross sections, of their matching to parton shower simulations, and of the merging of matched samples that differ by light-parton multiplicities. We present a computer program, MadGraph5 aMC@NLO, capable of handling all these computations -parton-level fixed order, shower-matched, merged -in a unified framework whose defining features are flexibility, high level of parallelisation, and human intervention limited to input physics quantities. We demonstrate the potential of the program by presenting selected phenomenological applications relevant to the LHC and to a 1-TeV e + e − collider. While next-to-leading order results are restricted to QCD corrections to SM processes in the first public version, we show that from the user viewpoint no changes have to be expected in the case of corrections due to any given renormalisable Lagrangian, and that the implementation of these are well under way.

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Section: Jhep07(2014)079mentioning

confidence: 99%

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

Alwall

Frederix

Frixione

et al. 2014

J. High Energ. Phys.

5,883

5,572

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show abstract

“…The pseudorapidity η is defined via the polar angle θ as η ¼ − ln tanðθ=2Þ. 2 We use the notation eν e for both e þ ν e and e −ν e . The same applies to μν μ and τν τ .…”

Section: Object Reconstructionmentioning

confidence: 99%

“…Besides the high mass, it has the shortest lifetime of any quark, determined to be ð3.29 þ0. 90 −0.63 Þ × 10 −25 s [1], which is shorter than the time scale for hadronization [2]. This implies that top quarks can be studied as bare quarks, i.e.…”

Section: Introductionmentioning

confidence: 99%

Measurements of spin correlation in top-antitop quark events from proton-proton collisions ats=7 TeVusing the ATLAS detector

Aad¹,

Abbott²,

Abdallah³

et al. 2014

Phys. Rev. D

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Measurements of spin correlation in top quark pair production are presented using data collected with the ATLAS detector at the LHC with proton-proton collisions at a center-of-mass energy of 7 TeV, corresponding to an integrated luminosity of 4.6 fb −1 . Events are selected in final states with two charged leptons and at least two jets and in final states with one charged lepton and at least four jets. Four different observables sensitive to different properties of the top quark pair production mechanism are used to extract the correlation between the top and antitop quark spins. Some of these observables are measured for the first time. The measurements are in good agreement with the Standard Model prediction at next-to-leadingorder accuracy.

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“…Matrix element reweighting [4,5,6,7,8,9,10] is an example of such a method. It dramatically differs from the previous ones in that it requires at least one theoretical as-sumption as a starting point.…”

Section: Introductionmentioning

confidence: 99%

Automation of the matrix element reweighting method

Artoisenet

Lemaı̂tre

Maltoni

et al. 2010

J. High Energ. Phys.

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Matrix element reweighting is a powerful experimental technique widely employed to maximize the amount of information that can be extracted from a collider data set. We present a procedure that allows to automatically evaluate the weights for any process of interest in the standard model and beyond. Given the initial, intermediate and final state particles, and the transfer functions for the final physics objects, such as leptons, jets, missing transverse energy, our algorithm creates a phase-space mapping designed to efficiently perform the integration of the squared matrix element and the transfer functions. The implementation builds up on MadGraph, it is completely automatized and publicly available. A few sample applications are presented that show the capabilities of the code and illustrate the possibilities for new studies that such an approach opens up.

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Decay and polarization properties of the top quark

Cited by 151 publications

References 15 publications

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

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

Measurements of spin correlation in top-antitop quark events from proton-proton collisions ats=7 TeVusing the ATLAS detector

Automation of the matrix element reweighting method

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