The NLO jet vertex in the small-cone approximation for kt and cone algorithms

Colferai, D.; Niccoli, Alessandro

doi:10.1007/jhep04(2015)071

Cited by 47 publications

(45 citation statements)

References 22 publications

(74 reference statements)

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“…A critical comparison between the latter result and the exact jet vertex in the cases of k t and cone algorithms and their "small-cone" versions has been recently carried out in [25]. We stress that, within NLO accuracy, the jet can be formed by either one or two particles and no more, so that the argument given in [25] about the non-infrared-safety of the all-order extension of the jet algorithm used to obtain the SCA jet vertex in [21] does not apply here. The BFKL approach brings along some extra-sources of systematic uncertainties with respect to the fixed-order, DGLAP calculation.…”

Section: Figmentioning

confidence: 99%

Mueller–Navelet jets at LHC: BFKL versus high-energy DGLAP

et al. 2015

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The production of forward jets separated by a large rapidity gap at LHC, the so-called Mueller-Navelet jets, is a fundamental testfield for perturbative QCD in the high-energy limit. Several analyses have already provided us with evidence about the compatibility of theoretical predictions, based on collinear factorization and BFKL resummation of energy logarithms in the next-to-leading approximation, with the CMS experimental data at 7 TeV of centerof-mass energy. However, the question if the same data can be described also by fixed-order perturbative approaches has not yet been fully answered. In this paper we provide numerical evidence that the mere use of partially asymmetric cuts in the transverse momenta of the detected jets allows for a clear separation between BFKL-resummed and fixed-order predictions in some observables related with the MuellerNavelet jet production process.

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Section: Figmentioning

confidence: 99%

Mueller–Navelet jets at LHC: BFKL versus high-energy DGLAP

et al. 2015

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“…On one hand, the rapidity ranges in the final state are large enough to let the NLA BFKL resummation of the energy logarithms come into play. The process-dependent part of the information needed to build up the cross section is encoded in the impact factors (the so-called "jet vertices"), which are known up to NLO [15][16][17][18][19]. On the other hand, the jet vertex can be expressed, within collinear factorization at the leading twist, as the convolution of the parton distribution function (PDF) of the colliding proton, obeying the standard DGLAP evolution [20][21][22], with the hard process describing the transition from the parton emitted by the proton to the forward jet in the final state.…”

Section: Introductionmentioning

confidence: 99%

Dihadron production at the LHC: full next-to-leading BFKL calculation

Celiberto

Ivanov

Murdaca³

et al. 2017

Eur. Phys. J. C

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The study of the inclusive production of a pair of charged light hadrons (a "dihadron" system) featuring high transverse momenta and well separated in rapidity represents a clear channel for the test of the BFKL dynamics at the Large Hadron Collider (LHC). This process has much in common with the well-known Mueller-Navelet jet production; however, hadrons can be detected at much smaller values of the transverse momentum than jets, thus allowing to explore an additional kinematic range, supplementary to the one studied with Mueller-Navelet jets. Furthermore, it makes it possible to constrain not only the parton densities (PDFs) for the initial proton, but also the parton fragmentation functions (FFs) describing the detected hadron in the final state. Here, we present the first full NLA BFKL analysis for cross sections and azimuthal angle correlations for dihadrons produced in the LHC kinematic ranges. We make use of the BrodskyLapage-Mackenzie optimization method to set the values of the renormalization scale and study the effect of choosing different values for the factorization scale. We also gauge the uncertainty coming from the use of different PDF and FF parametrizations.

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“…3 For a critical comparison of the different expressions for the forward jet vertex, we refer to [34]. and on the type of process in question.…”

Section: Discussionmentioning

confidence: 99%

“…For the considered process, only the n ¼ 0 term contributes and the fðνÞ function is given in (34). We will try all approaches to the BLM scale setting described in the previous section.…”

Section: A Electroproduction Of Two Vector Mesonsmentioning

confidence: 99%

Brodsky-Lepage-Mackenzie optimal renormalization scale setting for semihard processes

et al. 2015

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The Balitsky-Fadin-Kuraev-Lipatov (BFKL) approach for the investigation of semihard processes is plagued by large next-to-leading corrections, both in the kernel of the universal BFKL Green's function and in the process-dependent impact factors, as well as by large uncertainties in the renormalization scale setting. All that calls for an optimization procedure of the perturbative series. In this respect, one of the most common methods is the Brodsky-Lepage-Mackenzie (BLM) one, which eliminates the renormalization scale ambiguity by absorbing the nonconformal β 0 terms into the running coupling. In this paper, we apply the BLM scale setting procedure directly to the amplitudes (cross sections) of several semihard processes. We show that, due to the presence of β 0 terms in the next-to-leading expressions for the impact factors, the optimal renormalization scale is not universal but depends both on the energy and on the type of process in question.

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The NLO jet vertex in the small-cone approximation for kt and cone algorithms

Cited by 47 publications

References 22 publications

Mueller–Navelet jets at LHC: BFKL versus high-energy DGLAP

Mueller–Navelet jets at LHC: BFKL versus high-energy DGLAP

Dihadron production at the LHC: full next-to-leading BFKL calculation

Brodsky-Lepage-Mackenzie optimal renormalization scale setting for semihard processes

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