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2018
DOI: 10.1016/j.aop.2018.08.019
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High precision statistical Landau gauge lattice gluon propagator computation vs. the Gribov–Zwanziger approach

Abstract: In this article we report on lattice results for the Landau gauge gluon propagator using large statistical ensembles. In particular, the compatibility of the lattice data with the tree level predictions of the Refined Gribov-Zwanziger and the Very Refined Gribov-Zwanziger actions is analysed, complementing earlier work using small-scale statistics. Our results show that the data is well described by the tree level estimate only up to momenta p 1 GeV and clearly favors the so-called Refined Gribov-Zwanziger sce… Show more

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Cited by 76 publications
(125 citation statements)
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“…We consider both masses in our study. Similar approach was considered in [31]. to compare its dependence on µ q with that ofm E , we show 1.6m E for the chromoelectric mass and 2.1m M for the chromomagnetic mass.…”
Section: Definition Of the Screening Massmentioning
confidence: 56%
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“…We consider both masses in our study. Similar approach was considered in [31]. to compare its dependence on µ q with that ofm E , we show 1.6m E for the chromoelectric mass and 2.1m M for the chromomagnetic mass.…”
Section: Definition Of the Screening Massmentioning
confidence: 56%
“…The first definition is as follows: chromoelectric(magnetic) screening mass is the parameterm that appears in the Taylor expansion of the respective (longitudinal or transverse) propagator at zero momentum (see Refs. [30,31])…”
Section: Definition Of the Screening Massmentioning
confidence: 99%
“…Although many different parametrisations of the gluon propagator have been considered over the years, the potential appearance of generalised poles has not yet been fully investigated. In the remainder of this section we will outline infrared fits to the lattice data of [26] testing for the existence of these terms. Since lattice calculations are inherently Euclidean, one must first consider the Euclidean generalisation of Eq.…”
Section: Lattice Data Fitsmentioning
confidence: 99%
“…This fitting approach is particuraly well-suited to cases where the data is heavily influenced by energydependent effects, for example in assigning a shape error to a nuclear reactor flux for neutrino experiments [33]. Since the purpose of f is to simulate the sort of shape changes that can occur due to systematic effects, such as the appearance of Gribov copies [26], we used the propagator data from [32] in order to establish a reasonable functional form. In particular, f was established such that the shape of the data sets for the different lattice spacings in [32] could be transformed into one another after multiplication by this function.…”
Section: B Chi-squared Definitionsmentioning
confidence: 99%
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