论文标题

Planck HFI数据的灰尘偏振光谱依赖性。 CMB极化前景建模上的转弯点

Dust polarization spectral dependence from Planck HFI data. Turning point on CMB polarization foregrounds modelling

论文作者

Ritacco, Alessia, Boulanger, François, Guillet, Vincent, Delouis, Jean-Marc, Puget, Jean-Loup, Aumont, Jonathan, Vacher, Léo

论文摘要

搜索宇宙微波背景(CMB)的原始B模型依赖于从较明亮的前景灰尘信号的分离。在这种情况下,极化中热粉尘的光谱能量分布(SED)的表征已成为研究的关键主题。我们提出了对Planck数据的功率 - 光谱分析,该分析通过使用新发布的Sroll2映射来改善以前的研究,该sroll2地图纠正了残差数据系统学,并将分析扩展到银河平面附近的区域。我们的分析重点是L = 4和32之间的最低多物,而三个天空区域的天空级数为fsky = 80%,90%和97%。极化和353 GHz Q和U图的平均灰尘用于计算100、143和217 GHz的残留图,突出了尘埃极化SED的空间变化。在三个天空区域的三个频率下检测到残差。我们表明,基于总强度数据的模型低估了一个重要因素,即灰尘极化CMB前景的复杂性。我们的分析强调需要包括灰尘极化CMB前景的极化角度的变化。残留图的EE和BB功率光谱的频率依赖性提供了进一步的见解。我们发现,矩扩展到修改后的黑体(MBB)频谱的一阶的一阶为EE功率光谱提供了很好的拟合。该结果表明残留物主要遵循灰尘MBB光谱参数的变化。然而,这一结论是由跨光谱挑战的,表明三个频率的残差图没有完全相关,并且BB功率光谱不符合MBB SED的一阶矩扩展的事实。这项工作为模拟粉尘两极化的前景和组件分离方法(删节)设定了新的要求

The search for the primordial B-modes of the cosmic microwave background (CMB) relies on the separation from the brighter foreground dust signal. In this context, the characterisation of the spectral energy distribution (SED) of thermal dust in polarization has become a critical subject of study. We present a power-spectra analysis of Planck data, which improves on previous studies by using the newly released SRoll2 maps that correct residual data systematics, and by extending the analysis to regions near the Galactic plane. Our analysis focuses on the lowest multipoles between l=4 and 32, and three sky areas with sky fractions of fsky = 80%, 90%, and 97%. The mean dust SED for polarization and the 353 GHz Q and U maps are used to compute residual maps at 100, 143 and 217 GHz, highlighting spatial variations of the dust polarization SED. Residuals are detected at the three frequencies for the three sky areas. We show that models based on total intensity data are underestimating by a significant factor the complexity of dust polarized CMB foreground. Our analysis emphasizes the need to include variations of polarization angles of the dust polarized CMB foreground. The frequency dependence of the EE and BB power spectra of the residual maps yields further insight. We find that the moments expansion to the first order of the modified black-body (MBB) spectrum provides a good fit to the EE power-spectra. This result suggests that the residuals could follow mainly from variations of dust MBB spectral parameters. However, this conclusion is challenged by cross-spectra showing that the residuals maps at the three frequencies are not fully correlated, and the fact that the BB power-spectra do not match the first order moment expansion of a MBB SED. This work sets new requirements for simulations of the dust polarized foreground and component separation methods (abridged)

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