Phenomenological assessment of proton mechanical properties from deeply virtual Compton scattering
Phenomenological assessment of proton mechanical properties from deeply virtual Compton scattering
复制标题
通过深度虚拟康普顿散射对质子力学特性进行现象学评估
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
J. Wagner
中科院分区：
文献类型：
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作者：
H. Dutrieux;C. Lorcé;H. Moutarde;P. Sznajder;A. Trawi'nski;J. Wagner
广义部分子分布的一个独特的特征是它们与QCD能量动量张量的关系。特别是，它们提供了对质子的机械性质的访问，即由其夸克和胶子结构引起的压力和剪切应力的分布。原则上，压力分布可以通过测量减法常数从深度虚拟康普顿散射数据的色散分析以模型无关的方式实验确定。在实践中，现有实验数据的运动学覆盖范围和准确性使这一努力成为一项挑战。阐述了最近的全球配合深虚拟康普顿散射测量使用人工神经网络，我们的分析提出了目前的知识，这个减法常数和评估的影响，最频繁的系统假设在这一领域的研究。这项研究将为今后的工作铺平道路时，更精确的数据将成为可用的，例如在预见的电子-离子对撞机EIC和EIcC获得。
A unique feature of generalised parton distributions is their relation to the QCD energy–momentum tensor. In particular, they provide access to the mechanical properties of the proton i.e. the distributions of pressure and shear stress induced by its quark and gluon structure. In principle the pressure distribution can be experimentally determined in a model-independent way from a dispersive analysis of deeply virtual Compton scattering data through the measurement of the subtraction constant. In practice the kinematic coverage and accuracy of existing experimental data make this endeavour a challenge. Elaborating on recent global fits of deeply virtual Compton scattering measurements using artificial neural networks, our analysis presents the current knowledge on this subtraction constant and assesses the impact of the most frequent systematic assumptions made in this field of research. This study will pave the way for future works when more precise data will become available, e.g. obtained in the foreseen electron-ion colliders EIC and EIcC.
影响因子：
5
作者：
Braun, V. M.;Manashov, A. N.;Pirnay, B. M.
通讯作者：
Pirnay, B. M.