4.4 Article

QCD evolution of (un)polarized gluon TMDPDFs and the Higgs qT-distribution

期刊

JOURNAL OF HIGH ENERGY PHYSICS
卷 -, 期 7, 页码 -

出版社

SPRINGER
DOI: 10.1007/JHEP07(2015)158

关键词

NLO Computations; Hadronic Colliders

向作者/读者索取更多资源

We provide the proper definition of all the leading-twist (un)polarized gluon transverse momentum dependent parton distribution functions (TMDPDFs), by considering the Higgs boson transverse momentum distribution in hadron-hadron collisions and deriving the factorization theorem in terms of them. We show that the evolution of all the (un)polarized gluon TMDPDFs is driven by a universal evolution kernel, which can be resummed up to next-to-next-to-leading-logarithmic accuracy. Considering the proper definition of gluon TMDPDFs, we perform an explicit next-to-leading-order calculation of the unpolarized (f(1)(g)), linearly polarized (h(1)(perpendicular to g)) and helicity (g(1L)(g)) gluon TMDPDFs, and show that, as expected, they are free from rapidity divergences. As a byproduct, we obtain the Wilson coefficients of the refactorization of these TMDPDFs at large transverse momentum. In particular, the coefficient of g(1L)(g), which has never been calculated before, constitutes a new and necessary ingredient for a reliable phenomenological extraction of this quantity, for instance at RHIC or the future AFTER@LHC or Electron-Ion Collider. The coefficients of f(1)(g) and h(1)(perpendicular to g) have never been calculated in the present formalism, although they could be obtained by carefully collecting and recasting previous results in the new TMD formalism. We apply these results to analyze the contribution of linearly polarized gluons at different scales, relevant, for instance, for the inclusive production of the Higgs boson and the C-even pseudoscalar bottomonium state eta(b). Applying our resummation scheme we finally provide predictions for the Higgs boson q(T)-distribution at the LHC.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据