论文标题
通过矩膨胀来减轻前景清洁中CMB B模型的偏差
Mitigating Bias in CMB B-modes from Foreground Cleaning Using a Moment Expansion
论文作者
论文摘要
旨在衡量通货膨胀B模式信号的CMB极化实验面临的主要挑战之一是去除极化前景。热灰尘前景通常被建模为单个修饰的黑体,但是过于简单的前景模型可以偏向张量与尺度比率r的测量。随着CMB极化实验变得越来越敏感,热灰尘发射模型必须考虑到尘埃前景中的更复杂性,同时对梁内灰尘特性的潜在分布的最小化假设。我们使用普朗克尘埃温度数据来估计视线沿线粉尘特性的典型变化,并检查这些变化对R的影响,如果假定单个修改的黑体模型。然后,我们评估了捕捉空间平均效果并减少张量与尺寸比率的偏见的能力,以降低灰尘发射的不同玩具模型。我们发现,与未来CMB实验的目标敏感性相比,由于沿视线的温度变化引起的预期偏差是显着的,并且矩方法的使用可以减少偏差,并将光降低到灰尘物理参数的分布中。
One of the primary challenges facing upcoming CMB polarization experiments aiming to measure the inflationary B-mode signal is the removal of polarized foregrounds. The thermal dust foreground is often modeled as a single modified blackbody, however overly simplistic foreground models can bias measurements of the tensor-to-scalar ratio r. As CMB polarization experiments become increasingly sensitive, thermal dust emission models must account for greater complexity in the dust foreground while making minimal assumptions about the underlying distribution of dust properties within a beam. We use Planck dust temperature data to estimate the typical variation in dust properties along the line of sight and examine the impact of these variations on the bias in r if a single modified blackbody model is assumed. We then assess the ability of the moment method to capture the effects of spatial averaging and to reduce bias in the tensor-to-scalar ratio for different possible toy models of dust emission. We find that the expected bias due to temperature variations along the line of sight is significant compared to the target sensitivities of future CMB experiments, and that the use of the moment method could reduce bias as well as shed light into the distribution of dust physical parameters.