论文标题
与Quijote-MFI分离的弥漫性极化前景
Diffuse polarized foregrounds from component separation with QUIJOTE-MFI
论文作者
论文摘要
北方天空中的偏振组件图源自11和13 GHz的Quijote-MFI宽调查数据，WMAP K和KA频段以及所有Planck偏振通道使用参数分量分离方法B-secret。 Quijote-MFI数据的添加显着提高了低频主要前景参数估计的不确定性，尤其是同步子光谱指数的估计。我们发现整个天空具有统计学意义的空间变异性。同步器发射的功率定律模型可很好地拟合银河面外的数据，但无法跟踪该区域的复杂性。此外，当我们假设具有均匀曲率的同步器模型时，我们在95％的置信区域中发现了一个非零$ C_S $值。但是，没有足够的统计显着性来确定哪种模型有利于哪个模型。
Polarized component maps in the Northern Sky are derived from the QUIJOTE-MFI wide survey data at 11 and 13 GHz, the WMAP K and Ka bands and all Planck polarized channels using the parametric component separation method B-SeCRET. The addition of QUIJOTE-MFI data significantly improves the uncertainty in the parameter estimation of the low frequency dominant foreground, in particular the estimation of the synchrotron spectral index. We find statistically significant spatial variability across the sky. A power law model of the synchrotron emission provides a good fit of the data outside the galactic plane but fails to track the complexity of this region. Moreover, when we assume a synchrotron model with uniform curvature we find, in the 95% confidence region, a non-zero $c_s$ value. However, there is not sufficient statistical significance to determine which model is favoured.
