论文标题
由合并的WMAP和Planck LFI Legacy Maps构建的大型角度尺度的新型CMB极化套件
A novel CMB polarization likelihood package for large angular scales built from combined WMAP and Planck LFI legacy maps
论文作者
论文摘要
我们提出了通过将WMAP KA，Q和V与Planck 70 GHz映射组合来获得的CMB大规模极化数据集。我们采用了WMAP和Planck合作发布的遗留频率图，并执行我们自己的银河前景缓解技术，该技术依赖于Planck 353 GHz用于偏光粉尘，以及Planck 30 GHz和WMAP K用于偏光同步器。我们得出一个单一的，最佳的噪声加权，低残基 - 前景地图和随附的噪声协方差矩阵。通过$χ^2 $分析显示了这些内容，以便在大量的银河面罩中强大。我们使用此数据集以及Planck Legacy Commander温度解决方案来构建一个基于像素的低分辨率CMB可能性软件包，我们在模拟的帮助下进行广泛测试，找到出色的一致性。仅使用此可能包装包，我们将光学深度限制为Reionazation $τ= 0.069^{+0.011} _ { - 0.012} $ at $ 68 \％$ c.l.，在54 \％的天空上。添加Planck High-$ \ ell $温度和两极分化的遗产可能性，Planck镜头的可能性和BAO观察结果，我们发现$τ= 0.0714 _ { - 0.0096}^{+0.0087} $在整个$λ$ CDM Exploration中。与使用\ planck \ hfi cmb数据获得的大角度极化（仅包括ee相关性）的\ planck \ hfi cmb数据相比，后者的限制略低。我们的界限基于一个很大程度上独立的数据集，它确实包括TE相关性。它们通常与Planck HFI兼容，偏爱$τ$的值稍高。我们将低分辨率Planck和WMAP联合数据集与随附的似然代码一起公开提供。
We present a CMB large-scale polarization dataset obtained by combining WMAP Ka, Q and V with Planck 70 GHz maps. We employ the legacy frequency maps released by the WMAP and Planck collaborations and perform our own Galactic foreground mitigation technique, which relies on Planck 353 GHz for polarized dust and on Planck 30 GHz and WMAP K for polarized synchrotron. We derive a single, optimally-noise-weighted, low-residual-foreground map and the accompanying noise covariance matrix. These are shown, through $χ^2$ analysis, to be robust over an ample collection of Galactic masks. We use this dataset, along with the Planck legacy Commander temperature solution, to build a pixel-based low-resolution CMB likelihood package, whose robustness we test extensively with the aid of simulations, finding excellent consistency. Using this likelihood package alone, we constrain the optical depth to reionazation $τ=0.069^{+0.011}_{-0.012}$ at $68\%$ C.L., on 54\% of the sky. Adding the Planck high-$\ell$ temperature and polarization legacy likelihood, the Planck lensing likelihood and BAO observations we find $τ=0.0714_{-0.0096}^{+0.0087}$ in a full $Λ$CDM exploration. The latter bounds are slightly less constraining than those obtained employing \Planck\ HFI CMB data for large angle polarization, that only include EE correlations. Our bounds are based on a largely independent dataset that does include also TE correlations. They are generally well compatible with Planck HFI preferring slightly higher values of $τ$. We make the low-resolution Planck and WMAP joint dataset publicly available along with the accompanying likelihood code.
