论文标题
X射线极化数据的多播重加权
Multiband Weighting of X-ray Polarization Data
论文作者
论文摘要
X射线天文学的情况得出了对Stokes参数的最佳估计，该X射线天文学的调制因子随能量而变化很大，但信号非常弱或极度极化。对于此类来源，可以扩大分析带，以获得明显的极化测量。为bined和未链接数据提供了最佳估计器，并应用于使用成像X射线偏光浏览器（IXPE）观察到的微弱或弱极化源的数据。对于样本情况，与计数加权平均值相比，使用计数加权根平方的计数加权根平方的最小检测到极化的改善为6-7％。改善调制因子，例如在使用神经网络方法进行IXPE事件轨迹时，可以提供高达10-15％的额外改进。实际的改进取决于光谱形状和仪器响应功能的细节。
An optimal estimate for Stokes parameters is derived for the situation in X-ray astronomy where the instrument has a modulation factor that varies significantly with energy but the signals are very weak or mildly polarized. For such sources, the band of analysis may be broadened in order to obtain a significant polarization measurement. Optimal estimators are provided for the cases of binned and unbinned data and applied to data such as might be obtained for faint or weakly polarized sources observed using the Imaging X-ray Polarimetry Explorer (IXPE). For a sample situation, the improvement in the minimum detectable polarization is 6-7% using a count weighted root-mean-square of the modulation factor, when compared to a count weighted average. Improving the modulation factor, such as when using a neural network approach to IXPE event tracks, can provide additional improvement up to 10-15%. The actual improvement depends on the spectral shape and the details of the instrument response functions.
