Improved $π^0,η,η^{\prime}$ transition form factors in resonance chiral theory and their $a_μ^{\rm{HLbL}}$ contribution

Emilio J. Estrada, Sergi Gonzàlez-Solís, Adolfo Guevara, Pablo Roig
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Abstract

Working with Resonance Chiral Theory, within the two resonance multiplets saturation scheme, we satisfy leading (and some subleading) chiral and asymptotic QCD constraints and accurately fit simultaneously the $\pi^{0},\eta,\eta^{\prime}$ transition form factors, for single and double virtuality. In the latter case, we supplement the few available measurements with lattice data to ensure a faithful description. Mainly due to the new results for the doubly virtual case, we improve over existing descriptions for the $\eta$ and $\eta^\prime$. Our evaluation of the corresponding pole contributions to the hadronic light-by-light piece of the muon $g-2$ read: $a_\mu^{\pi^{0}\text{-}\rm{pole}}=\left(60.4\pm0.5^{+3.2}_{-1.8}\right)\times10^{-11}$, $a_\mu^{\eta\text{-}\mathrm{pole}}=\left(15.2\pm0.5^{+1.1}_{-0.7}\right)\times10^{-11}$ and $a_\mu^{\eta^\prime\text{-}\rm{pole}}=\left(14.4\pm0.8^{+1.4}_{-1.0}\right)\times10^{-11}$, for a total of $a_\mu^{\pi^0+\eta+\eta^{\prime}\text{-}\rm{pole}}=\left(90.0\pm1.1^{+3.7}_{-2.2}\right)\times10^{-11}$, where the first and second error are the statistical and systematic uncertainties, respectively.
共振手性理论中改进的 $π^0,η,η^{prime}$ 过渡形式因子及其 $a_μ^{rm{HLbL}}$ 贡献
通过共振手性理论(Resonance Chiral Theory),在两个共振多重饱和方案中,我们满足了领先的(以及一些次领先的)手性和渐近QCD约束,并同时精确地拟合了单虚拟性和双虚拟性的$/pi^{0},\eta,\eta^\{prime}$过渡形式因子。在后一种情况下,我们用晶格数据补充了为数不多的可用测量数据,以确保忠实描述。主要由于双虚情况下的新结果,我们改进了对$\eta$和$\eta^\prime$的现有描述。我们对μ介子$g-2$的强子逐光片的相应极点贡献的评估是:$a_\mu^{pi^{0}\text{-}\rm{pole}}=\left(60.4\pm0.5^{+3.2}_{-1.8}\right)\times10^{-11}$,$a_\mu^{\eta\text{-}\mathrm{pole}}=\left(15.2\pm0.5^{+1.1}_{-0.7}\right)\times10^{-11}$and$a_\mu^{\eta^\prime\text{-}\rm{pole}}=\left(14.4\pm0.8^{+1.4}_{-1.0}\right)\times10^{-11}$,for a total of$a_\mu^{\pi^0+\eta+\eta^{\prime}\text{-}\rm{pole}}=\left(90.0/pm1.1^{+3.7}_{-2.2}/right)/times10^{-11}$,其中第一个和第二个误差分别是统计不确定性和系统不确定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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