arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.14567astro-ph.CO
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原始重力波信号CMB B模式后验估计与重构的贝叶斯ILC方法

A Bayesian ILC method for CMB B-mode posterior estimation and reconstruction of primordial gravity wave signal

Sarvesh Kumar Yadav, Rajib Saha

摘要:

宇宙微波背景(CMB)辐射的B模偏振信号包含了暴胀过程中产生的原初度规扰动的独特特征。从观测地图中的强前景污染中分离弱CMB B模式信号是一项复杂的任务,并且提出的新一代低噪声卫星任务与这种重力背景的弱信号水平竞争。在这篇文章中,我们第一次采用前景模型独立的内部线性组合(ILC)方法来重建CMB B模式信号,使用模拟观测在大角度尺度的天空的6个频段的未来一代CMB任务膨胀和宇宙起源探测器(PICO)。我们估计联合CMB B模式后验密度的交织吉布斯步骤的B模式角功率谱和清洁地图样本使用ILC方法。我们扩展和改进了早先报道的贝叶斯ILC方法,通过在ILC权重估计的两个阶段引入噪声偏差校正来分析弱CMB B模式重建。通过对贝叶斯ILC方法进行$200$蒙特卡罗模拟,我们发现我们的方法可以在大角度范围内精确地重建CMB信号和联合后验密度。我们估计了CMB B模角功率谱的边缘密度的Blackwell-Rao统计量,并利用它们来估计标量与张量之比$r$和透镜功率谱幅度$A^{\textrm{lens}}$的联合密度。使用$200$蒙特卡罗模拟的去透镜的方法,我们发现,我们的方法可以实现一个公正的检测原始引力波信号$r$与超过8 $σ$的显着性水平的$r \geqslant 0.01$。

英文摘要:

The Cosmic Microwave Background (CMB) radiation B mode polarization signal contains the unique signature of primordial metric perturbations produced during the inflation. The separation of the weak CMB B-mode signal from strong foreground contamination in observed maps is a complex task, and proposed new generation low noise satellite missions compete with the weak signal level of this gravitational background. In this article, for the first time, we employ a foreground model-independent internal linear combination (ILC) method to reconstruct the CMB B mode signal using simulated observations over large angular scales of the sky of 6 frequency bands of future generation CMB mission Probe of Inflation and Cosmic Origins (PICO). We estimate the joint CMB B mode posterior density following the interleaving Gibbs steps of B mode angular power spectrum and cleaned map samples using the ILC method. We extend and improve the earlier reported Bayesian ILC method to analyze weak CMB B mode reconstruction by introducing noise bias corrections at two stages during the ILC weight estimation. By performing $200$ Monte Carlo simulations of the Bayesian ILC method, we find that our method can reconstruct the CMB signals and the joint posterior density accurately over large angular scales of the sky. We estimate Blackwell-Rao statistics of the marginal density of CMB B mode angular power spectrum and use them to estimate the joint density of scalar to tensor ratio $r$ and a lensing power spectrum amplitude $A^{\textrm{lens}}$. Using $200$ Monte Carlo simulations of the delensing approach, we find that our method can achieve an unbiased detection of the primordial gravitational wave signal $r$ with more than 8$σ$ significance for levels of $r \geqslant 0.01$.

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