论文标题
各向异性流量分析中的对称平面相关性的新估计量
New estimator for symmetry plane correlations in anisotropic flow analyses
论文作者
论文摘要
对称平面的相关性是用于量化各向异性流现象的重要可观察物，并独立限制了在最高能量下重离子碰撞中强烈相互作用的核物质的性质。在本文中，我们指出了测量对称平面之间相关性的当前问题，并详细说明了为什么可用的分析技术具有较大的系统偏见。为了克服这个问题，我们引入了一种新方法，通过二维高斯分布近似多谐波流动。在使用此近似值的情况下，我们引入了一个新的估计量，称为高斯估计量（GE），以在对称平面之间提取纯粹的相关性。我们通过使用现实的事件生成器IEBE-VISHNU来验证GE，并证明它的表现优于所有现有估计器。根据事件形状工程，我们提出了一个实验程序，以进一步提高GE的准确性。
Correlations of symmetry planes are important observables used to quantify anisotropic flow phenomenon and constrain independently the properties of strongly interacting nuclear matter produced in the collisions of heavy ions at the highest energies. In this paper, we point out current problems of measuring correlations between symmetry planes and elaborate on why the available analysis techniques have a large systematic bias. To overcome this problem, we introduce a new approach to approximate multi-harmonic flow fluctuations via a two-dimensional Gaussian distribution. Employing this approximation, we introduce a new estimator, dubbed Gaussian Estimator (GE), to extract pure correlation between symmetry planes. We validate GE by using the realistic event-generator iEBE-VISHNU and demonstrate that it outperforms all existing estimators. Based on event-shape engineering, we propose an experimental procedure to improve GE accuracy even further.
