evolution kernel
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2021 ◽  
Vol 2021 (12) ◽  
Author(s):  
Anatoly Radyushkin ◽  
Shuai Zhao

Abstract We present results for one-loop corrections to the recently introduced “gluon condensate” PDF F(x). In particular, we give expression for the gg-part of its evolution kernel. To enforce strict compliance with the gauge invariance requirements, we have used on-shell states for external gluons, and have obtained identical results both in Feynman and light-cone gauges. No “zero mode” δ(x) terms were found for the twist-4 gluon PDF F(x). However a q2δ(x) term was found for the ξ = 0 GPD F(x, q2) at nonzero momentum transfer q. Overall, our results do not agree with the original attempt of one-loop calculations of F(x) for gluon states, which sets alarm warning for calculations that use matrix elements with virtual external gluons and for lattice renormalization procedures based on their results.


2021 ◽  
Vol 104 (3) ◽  
Author(s):  
Louis-Paul Henry ◽  
Slimane Thabet ◽  
Constantin Dalyac ◽  
Loïc Henriet

2021 ◽  
Vol 103 (9) ◽  
Author(s):  
Vladimir M. Braun ◽  
Alexander N. Manashov ◽  
Sven-O. Moch ◽  
Matthias Strohmaier

Thyroid disorders are common among the world wide population. This disorders posses’ significant problems among Indians. Research studies shows that nearly 32% of Indian population suffers from various thyroid disorders. This paper deals with the thyroid data set which in turn classify into three groups as hyper thyroidisim, hypothyroidism and normal. The American Thyroid Association reported twelve percent of their citizens suffer from thyroidism in which 60% population are unaware of their condtions.. Above statistics implies the classification of thyroid disorder is crucial in global perspective too. The thyroid data set are collected from UCI repository and it is multivariate type with 21 attributes. With the 21 attributes only 10 attributes are selected based on their rank. Hybrid Differential Evolution Kernel Based SVM algorithm is used to classify the data set. It takes around 30 epochs to stabilize the errors. The classification accurancy is observed to be 67.97%.


2015 ◽  
Vol 37 ◽  
pp. 1560026
Author(s):  
Stefano Melis ◽  
Umberto D'Alesio ◽  
Miguel G. Echevarria ◽  
Ignazio Scimemi

We present a global fit of current available data for Drell-Yan and Z-boson production using the Transverse Momentum Dependent evolution formalism of Refs. [1–4]. We performed our analysis including perturbative calculable contributions up to next-to-next-to-leading-logarithmic accuracy. We took into account non-perturbative corrections both to the intrinsic nucleon structure and to the evolution kernel.


2015 ◽  
Vol 37 ◽  
pp. 1560069 ◽  
Author(s):  
Rohini M. Godbole ◽  
Abhiram Kaushik ◽  
Anuradha Misra ◽  
Vaibhav S. Rawoot

We estimate Sivers asymmetry in low virtuality photoproduction of J/ψ using color evaporation model and taking into account Q2- evolution of transverse momentum dependent PDF's and Sivers function. There is a substantial reduction in asymmetry as compared to our previous analysis wherein the Q2-dependence came only from DGLAP evolution of collinear part of TMDs. The estimates of asymmetry are comparable to our earlier estimates in which we had used analytical solution of only an approximated form of the evolution equations. We have also estimated asymmetry using the latest parametrization by Echevarria et al. which are based on an evolution kernel in which the perturbative part is resummed to NLL accuracy.


2014 ◽  
Vol 25 ◽  
pp. 1460037 ◽  
Author(s):  
ASLI TANDOGAN ◽  
ANATOLY V. RADYUSHKIN

We extend our method of analytic ERBL evolution for the case of distribution amplitudes that have jumps at some points x = ζi inside the support region 0 < x < 1. As an application of the method, we use it for evolution of the two-photon generalized distribution amplitude. Our approach has advantages over the standard method of expansion in Gegenbauer polynomials, which requires infinite number of terms in order to accuretly reproduce functions in the vicinity of singular points, and over the method of straightforward iteration of initial distribution with evolution kernel which produces logarithmically divergent terms at each iteration. In our method, the logarithmic singularities are summed from the start, which immediately produces a continuous curve, with only one or two iterations needed afterwards in order to get precise results.


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