论文标题

CMB次级各向异性的原始非高斯性测量的偏见

Biases to primordial non-Gaussianity measurements from CMB secondary anisotropies

论文作者

Coulton, William, Miranthis, Alexander, Challinor, Anthony

论文摘要

我们对宇宙微波背景(CMB)中最后一个散落的表面的看法被继发性各向异性所掩盖,这些各向异性是通过散射,外层状发射和重组和观察之间的重力来源的。尽管已经确定,非高斯与综合 - 摩托 - 沃尔夫(ISW)效应和重力镜头之间的相关性的非高斯性可能会显着偏见原始非高斯搜索(PNG)搜索,但希尔(Hill(2018)的最新工作表明,二级Anisotropies的其他组合也会产生重要的偏见。在这项工作的基础上,我们使用Websky和Sehgal等人(2010年)对局部,等边和正交形状的PNG测量可能进行广泛检查。对于像普兰克一样的CMB实验,没有前景清洁,我们发现宇宙红外背景(CIB)的巨大偏见 - 倾斜度和热阳光Sunyaev-Zel'Dovich(TSZ)倾斜bispectra,用于本地和正交模板,以及来自CIB和TSZ Bispeptra的平衡模板。对于将来的实验,例如Simons天文台,ISW效应与TSZ和CIB之间的相关性偏见也将变得很重要。最后,我们研究了前景清洁技术是否能够充分抑制这些偏见。我们发现,这些偏见的大多数通过内部线性组合方法有效地抑制了,并且对普朗克样和类似Soike实验的总偏差小于$ 1 \σ$统计误差。但是,小的总偏见是由于取消了几个$ 1 \σ$偏见的普朗克式实验,而$ 2 \,σ$偏见的偏见。由于这种取消可能对确切的建模敏感,以确保应使用明确去除方法的鲁棒性,这可能是以减少约束功率的成本为代价。

Our view of the last-scattering surface in the cosmic microwave background (CMB) is obscured by secondary anisotropies, sourced by scattering, extragalactic emission and gravitational processes between recombination and observation. Whilst it is established that non-Gaussianity from the correlation between the integrated-Sachs-Wolfe (ISW) effect and gravitational lensing can significantly bias primordial non-Gaussianity (PNG) searches, recent work by Hill (2018) has suggested that other combinations of secondary anisotropies can also produce significant biases. Building on that work, we use the WebSky and Sehgal et al.(2010) simulations to perform an extensive examination of possible biases to PNG measurements for the local, equilateral and orthogonal shapes. For a Planck-like CMB experiment, without foreground cleaning, we find significant biases from cosmic infrared background (CIB)-lensing and thermal Sunyaev-Zel'dovich (tSZ)-lensing bispectra for the local and orthogonal templates, and from CIB and tSZ bispectra for the equilateral template. For future experiments, such as the Simons Observatory, biases from correlations between the ISW effect and the tSZ and CIB will also become important. Finally we investigate whether foreground-cleaning techniques are able to suppress these biases sufficiently. We find that the majority of these biases are effectively suppressed by the internal-linear-combination method and the total bias to Planck-like and SO-like experiments is less than the $1\,σ$ statistical error. However, the small total bias arises from the cancellation of several $1\,σ$ biases for Planck-like experiments and $2\,σ$ biases for SO-like. As this cancellation is likely sensitive to the precise modelling, to ensure robustness against these biases explicit removal methods should be used, likely at the cost of decreased constraining power.

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