Proceedings of 34th Annual International Symposium on Lattice Field Theory — PoS(LATTICE2016) 2017
DOI: 10.22323/1.256.0332
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The gradient flow coupling from numerical stochastic perturbation theory

Abstract: Perturbative calculations of gradient flow observables are technically challenging. Current results are limited to a few quantities and, in general, to low perturbative orders. Numerical stochastic perturbation theory is a potentially powerful tool that may be applied in this context. Precise results using these techniques, however, require control over both statistical and systematic uncertainties. In this contribution, we discuss some recent algorithmic developments that lead to a substantial reduction of th… Show more

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Cited by 6 publications
(5 citation statements)
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“…On a finite volume the computation is even more involved (see [38]). The two-loop relation requires substantial effort [17,18], and for our particular choice of boundary conditions the result relies on novel methods [39,40,41,18] within the framework of Numerical Stochastic Perturbation Theory (NSPT). The results are [18]:…”
Section: Boundary Conditions and Coupling Definitionsmentioning
confidence: 99%
“…On a finite volume the computation is even more involved (see [38]). The two-loop relation requires substantial effort [17,18], and for our particular choice of boundary conditions the result relies on novel methods [39,40,41,18] within the framework of Numerical Stochastic Perturbation Theory (NSPT). The results are [18]:…”
Section: Boundary Conditions and Coupling Definitionsmentioning
confidence: 99%
“…(4.23) and (4.24) correspond to the gluon condensate F µν (x)F µν (x) 8. It might be possible to detect this leading renormalon on R × S 1 by using the stochastic perturbation theory[35][36][37][38][39].…”
mentioning
confidence: 99%
“…Moreover the extrapolations in section 2.2.2 have completely ignored these effects, and our data in fact seem to scale like O(a 2 ) after dropping the coarser lattices. But due to the high precision of our data, these O(a) effects cannot be completely ignored, especially if we take into account the fact that our strategy uses data at large 4 In fact the first two coefficients c (i) 0,1 can be computed with the help of the ki coefficients calculated in [24]: c (1) 0 = 0.1426 (7) , c…”
Section: The Continuum Limit Of J 1 and Jmentioning
confidence: 99%