论文标题

使用ILC算法中CMB协方差矩阵的先前信息,可以在大型角度上精确重建CMB E模式信号

An Accurate Reconstruction of CMB E Mode Signal over Large Angular Scales using Prior Information of CMB Covariance Matrix in ILC Algorithm

论文作者

Purkayastha, Ujjal, Sudevan, Vipin, Saha, Rajib

论文摘要

近年来,使用WMAP和Planck卫星任务获得的观测值重建宇宙微波背景(CMB)温度各向异性信号,对内线线性组合(ILC)方法进行了广泛研究。在本文中,我们首次使用ILC方法来重建大型CMB E模式极化信号,该信号是宇宙电离历史的独特探针,使用15个频率CMB的模拟观测值,该观察结果是未来一代核心卫星任务的15个频率CMB极化图。我们发现,由于经验协方差矩阵中的CMB和天体物理前景成分之间存在偶然的相关性,因此通常的ILC清洁E模式图是高度错误的,该图矩阵用于估计重量因子。由于这些偶然的相关因素,E模式的清洁角功率谱对E模式有很大的偏差和错误。为了解决偏差和错误问题,我们通过合并理论E模式角功率谱的先前信息,同时估算输入图的线性组合的权重,来扩展和改善CMB E模式重建的常规ILC方法。使用E模式协方差矩阵有效地抑制了CMB前景偶然的相关功率,从而准确地重建了清洁的CMB E模式图及其角功率谱。我们提供了对通常ILC的性能和在天空大尺度上的新方法的性能的比较研究,并表明后来产生的结果比前者产生的统计学上的改善显着提高。新的E模式CMB角功率谱在低多物体上既不包含任何明显的负偏置,也不包含相对较高的静态偏置的任何正前景偏置。清洁光谱的误差估计与宇宙方差引起的误差非常吻合。

In the recent years, the internal-linear-combination (ILC) method was investigated extensively in the context of reconstruction of Cosmic Microwave Background (CMB) temperature anisotropy signal using observations obtained by WMAP and Planck satellite missions. In this article, we, for the first time, apply the ILC method to reconstruct the large scale CMB E mode polarization signal, which serves as the unique probe of ionization history of the Universe, using simulated observations of 15 frequency CMB polarization maps of future generation COrE satellite mission. We find that usual ILC cleaned E mode map is highly erroneous due to presence of a chance-correlation between CMB and astrophysical foreground components in the empirical covariance matrix which is used to estimate the weight factors. The cleaned angular power spectrum for E mode is strongly biased and erroneous due to these chance correlation factors. In order to address the issues of bias and errors we extend and improve the usual ILC method for CMB E mode reconstruction by incorporating prior information of theoretical E mode angular power spectrum while estimating the weights for linear combination of input maps. Using the E mode covariance matrix effectively suppresses the CMB-foreground chance correlation power leading to an accurate reconstruction of cleaned CMB E mode map and its angular power spectrum. We provide a comparative study of the performance of the usual ILC and the new method over large angular scales of the sky and show that the later produces significantly statistically improved results than the former. The new E mode CMB angular power spectrum contains neither any significant negative bias at the low multipoles nor any positive foreground bias at relatively higher mutlipoles. The error estimates of the cleaned spectrum agree very well with the cosmic variance induced error.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源