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首页> 外文期刊>Bulletin of the American Physical Society >APS -APS April Meeting 2017 - Event - High Precision Measurement of the Neutron Polarizabilities via Compton Scattering on Deuterium at E$_{gamma}$=65 MeV
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APS -APS April Meeting 2017 - Event - High Precision Measurement of the Neutron Polarizabilities via Compton Scattering on Deuterium at E$_{gamma}$=65 MeV

机译:APS -APS 2017年4月会议-活动-通过氘上的康普顿散射以E $ _ {gamma} $ = 65 MeV进行中子极化率的高精度测量

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The electric ($alpha_n$) and magnetic ($eta_n$) polarizabilities of the neutron are fundamental properties arising from its internal structure which describe the nucleon's response to applied electromagnetic fields. Precise measurements of the polarizabilities provide crucial constraints on models of Quantum Chromodynamics (QCD) in the low energy regime such as Chiral Effective Field Theories as well as emerging ab initio calculations from lattice-QCD. These values also contribute the most uncertainty to theoretical determinations of the proton-neutron mass difference. Historically, the experimental challenges to measuring $alpha_n$ and $eta_n$ have been due to the difficulty in obtaining suitable targets and sufficiently intense beams, leading to significant statistical uncertainties. To address these issues, a program of Compton scattering experiments on the deuteron is underway at the High Intensity Gamma Source (HI$gamma$S) at Duke University with the aim of providing the world's most precise measurement of $alpha_n$ and $eta_n$. We report measurements of the Compton scattering differential cross section obtained at an incident photon energy of 65 MeV and discuss the sensitivity of these data to the polarizabilities.
机译:中子的电极化($ alpha_n $)和磁极化($ eta_n $)是其内部结构产生的基本属性,这些内部结构描述了核子对外加电磁场的响应。极化率的精确测量为低能态量子色动力学(QCD)模型(例如手性有效场理论)以及从晶格QCD产生的从头算起的模型提供了至关重要的约束。这些值也为质子-中子质量差的理论确定提供了最大的不确定性。从历史上看,测量$ alpha_n $和$ eta_n $的实验挑战是由于难以获得合适的目标和足够强的光束,从而导致明显的统计不确定性。为了解决这些问题,杜克大学的高强度伽玛射线源(HI $ gamma $ S)正在对氘核进行康普顿散射实验,目的是提供世界上最精确的$ alpha_n $和$ eta_n $测量值。 。我们报告了在65 MeV的入射光子能量下获得的康普顿散射微分截面的测量值,并讨论了这些数据对极化率的敏感性。

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