arXiv 1901.089512019-01nucl-ex

核子共振区的虚康普顿散射测量

Virtual Compton Scattering measurements in the nucleon resonance region

A. Blomberg, H. Atac, N. Sparveris, M. Paolone, P. Achenbach, M. Benali, J. Beričič, R. Böhm, L. Correa, M. O. Distler, A. Esser, D. Flay, H. Fonvieille, I. Fri… 展开作者

A. Blomberg, H. Atac, N. Sparveris, M. Paolone, P. Achenbach, M. Benali, J. Beričič, R. Böhm, L. Correa, M. O. Distler, A. Esser, D. Flay, H. Fonvieille, I. Friščić, Y. Kohl, H. Merkel, U. Müller, Z. E. Meziani, M. Mihovilovic, J. Pochodzalla, A. Polychronopoulou, B. Pasquini, M. Schoth, F. Schulz, S. Schlimme, C. Sfienti, S. Sirca, A. Weber

DOI：: 10.1140/epja/i2019-12877-0

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摘要：

我们报告的新测量的电动广义极化率（GP）的质子$α_E$在一个令人费解的依赖动量转移的运动学区域已被观察到，我们发现，$α_E = (5.3 \pm 0.6_{stat} \pm 1.3_{sys})~10^{-4} fm^3$在$Q^2=0.20~(GeV/c)^2$。新的测量结果与世界其他地区的数据一起考虑时，表明$α_E$可以通过局部平台期或区域$Q^2=0.20~(GeV/c)^2$至$0.33~(GeV/c)^2$的增强来描述。该实验还通过对$p(e,e'p)γ$反应的探索，首次测量了$N \rightarrow Δ$跃迁中的库仑四极振幅。新的测量给出了在$Q^2=0.20~(GeV/c)^2$的$CMR = (-4.4 \pm 0.8_{stat} \pm 0.6_{sys})~\%$，并且与来自π介子电生产世界数据的结果一致。它是使用完全不同的提取方法获得的，因此代表了对世界数据模型不确定性的强有力的验证测试。

英文摘要：

We report on new measurements of the electric Generalized Polarizability (GP) of the proton $α_E$ in a kinematic region where a puzzling dependence on momentum transfer has been observed, and we have found that $α_E = (5.3 \pm 0.6_{stat} \pm 1.3_{sys})~10^{-4} fm^3$ at $Q^2=0.20~(GeV/c)^2$. The new measurements, when considered along with the rest of the world data, suggest that $α_E$ can be described by either a local plateau or by an enhancement in the region $Q^2=0.20~(GeV/c)^2$ to $0.33~(GeV/c)^2$. The experiment also provides the first measurement of the Coulomb quadrupole amplitude in the $N \rightarrow Δ$ transition through the exploration of the $p(e,e'p)γ$ reaction. The new measurement gives $CMR = (-4.4 \pm 0.8_{stat} \pm 0.6_{sys})~\%$ at $Q^2=0.20~(GeV/c)^2$ and is consistent with the results from the pion electroproduction world data. It has been obtained using a completely different extraction method, and therefore represents a strong validation test of the world data model uncertainties.

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