Two-loop soft corrections and resummation of the thrust distribution in the dijet region

Monni, Pier Francesco; Gehrmann, Thomas; Luisoni, Gionata

doi:10.1007/jhep08(2011)010

Cited by 136 publications

(157 citation statements)

References 118 publications

(239 reference statements)

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“…Among the mixed virtual-real and double real emissions, only the diagrams in Figure 3 give nonvanishing contributions. The same matrix elements also arise in other two-loop computations of soft functions [24][25][26][27][28][29][30][31][32], what makes our case different are the phase-space constraints and the necessity of working with an additional analytic regulator. In the following, we denote the individual contributions of these diagrams to the soft function by…”

Section: Setup Of the Calculationmentioning

confidence: 83%

NNLL Resummation for Jet Broadening

Becher

Bell

2012

J. High Energ. Phys.

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The resummation for the event-shape variable jet broadening is extended to next-tonext-to-leading logarithmic accuracy by computing the relevant jet and soft functions at one-loop order and the collinear anomaly to two-loop accuracy. The anomaly coefficient is extracted from the soft function and expressed in terms of polylogarithmic as well as elliptic functions. With our results, the uncertainty on jet-broadening distributions is reduced significantly, which should allow for a precise determination of the strong coupling constant from the existing experimental data and provide a consistency check on the extraction of α s from higher-log resummations of thrust.

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Section: Setup Of the Calculationmentioning

confidence: 83%

NNLL Resummation for Jet Broadening

Becher

Bell

2012

J. High Energ. Phys.

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“…The expansion of the soft function for zero-jettiness up to two-loop order can be found in Refs. [71,72].…”

Section: Scet-based Non-local Subtractionmentioning

confidence: 99%

“…[69,70]. The corresponding two-loop soft functions are also known for zero-jettiness [71,72] and for general Njettiness [73]. The first process calculated at NNLO using this method was pp → W +jet [16], followed by calculations of the pp → Higgs+jet [8] and pp → Z +jet [18] processes, and by detailed phenomenological studies of these processes at this order [74][75][76].…”

Section: Introductionmentioning

confidence: 99%

Color-singlet production at NNLO in MCFM

et al. 2016

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We present the implementation of several colorsinglet final-state processes at Next-to-Next-to Leading Order (NNLO) accuracy in QCD to the publicly available parton-level Monte Carlo program MCFM. Specifically we discuss the processesDecays of the unstable bosons are fully included, resulting in a flexible fully differential Monte Carlo code. The NNLO corrections have been calculated using the non-local N -jettiness subtraction approach. Special attention is given to the numerical aspects of running MCFM for these processes at this order. We pay particular attention to the systematic uncertainties due to the power corrections induced by the N -jettiness regularization scheme and the evaluation time needed to run the hybrid openMP/MPI version of MCFM at NNLO on multiprocessor systems.

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“…At NNLL 0 accuracy, we need the boundary conditions at two-loop order, and the evolution to three (two) loops in the cusp (noncusp) anomalous dimensions. All required expressions are known in the literature [43,[57][58][59][60][61][62][63][64][65] and we do not reproduce them here.…”

Section: Choice Of the Jet Resolution Variablesmentioning

confidence: 99%

Drell-Yan production atNNLL′+NNLOmatched to parton showers

et al. 2015

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We present results for Drell-Yan production from the GENEVA Monte-Carlo framework. We combine the fully differential next-to-next-to leading order (NNLO) calculation with higher-order resummation in the 0-jettiness resolution variable. The resulting parton-level events are further combined with parton showering and hadronization provided by PYTHIA8. The 0-jettiness resummation is carried out to NNLL 0 , which consistently incorporates all singular virtual and real NNLO corrections. It thus provides a natural perturbative connection between the NNLO calculation and the parton shower regime, including a systematic assessment of perturbative uncertainties. In this way, inclusive observables are correct to NNLO, up to small power corrections in the resolution cutoff. Furthermore, the perturbative accuracy of zero-jetlike resummation variables is significantly improved beyond the parton shower approximation. We provide comparisons with LHC measurements of Drell-Yan production at 7 TeV from ATLAS, CMS, and LHCb. As already observed in e þ e − collisions, for resummation-sensitive observables, the agreement with data is noticeably improved by using a lower value of α s ðM Z Þ ¼ 0.1135.

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Two-loop soft corrections and resummation of the thrust distribution in the dijet region

Cited by 136 publications

References 118 publications

NNLL Resummation for Jet Broadening

NNLL Resummation for Jet Broadening

Color-singlet production at NNLO in MCFM

Drell-Yan production atNNLL′+NNLOmatched to parton showers

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