Foreground removal requirements for measuring large-scale CMB B modes in light of BICEP2

Foreground removal requirements for measuring large-scale CMB B modes in light of BICEP2
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根据 BICEP2 测量大规模 CMB B 模式的前景去除要求

DOI:
10.1093/mnras/stu1495
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发表时间:
2014
影响因子:
4.8
通讯作者:
Bonaldi A
Bonaldi A
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Bonaldi A

文献摘要

相似文献

BICEP 2在度尺度上探测到的B模式偏振信号是由于宇宙微波背景(CMB)造成的,最令人信服的确认是对其大尺度对应物的测量。我们评估了大部分天空中漫射分量分离精度的要求,以测量对应于r= 0.1-0.2的张量标量比的大规模B模式信号。我们使用Bonaldi和Ricciardi提出的方法来预测不同模拟实验的性能,同时考虑到噪声和前景去除问题。我们不考虑工具系统学,我们含蓄地假设,他们不是主要来源的错误。如果是这样的话,即使对于关于前景清洁的准确性的保守假设,普朗克也可以实现r= 0.1-0.2信号的确认。我们的预测表明,这个实验与BICEP 2的结合将导致对r的约束改善25%-45%。下一代CMB偏振卫星,在这项工作中由宇宙起源探测器实验代表,可以显着降低(几乎另一个数量级)r的不确定性。然而,在这种情况下,前景去除的精度对于充分受益于灵敏度的增加变得至关重要。
The most convincing confirmation that the B-mode polarization signal detected at degree scales by BICEP2 is due to the cosmic microwave background (CMB) would be the measurement of its large-scale counterpart. We assess the requirements for diffuse component separation accuracy over large portions of the sky in order to measure the large-scale B-mode signal corresponding to a tensor-to-scalar ratio of r= 0.1–0.2. We use the method proposed by Bonaldi & Ricciardi to forecast the performances of different simulated experiments taking into account noise and foreground removal issues. We do not consider instrumental systematics, and we implicitly assume that they are not the dominant source of error. If this is the case, the confirmation of an r= 0.1–0.2 signal is achievable by Planck even for conservative assumptions regarding the accuracy of foreground cleaning. Our forecasts suggest that the combination of this experiment with BICEP2 will lead to an improvement of 25–45 per cent in the constraint on r. A next-generation CMB polarization satellite, represented in this work by the Cosmic Origins Explorer experiment, can reduce dramatically (by almost another order of magnitude) the uncertainty on r. In this case, however, the accuracy of foreground removal becomes critical to fully benefit from the increase in sensitivity.