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arXiv 2203.08262astro-ph.COhep-thmath.AT
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基于持久同调的原始非高斯性Fisher预测

Fisher Forecasts for Primordial non-Gaussianity from Persistent Homology

Matteo Biagetti, Juan Calles, Lina Castiblanco, Alex Cole, Jorge Noreña

摘要:

我们研究了局部和等边型原始非高斯性上的大尺度结构的多尺度拓扑所建立的汇总统计量的信息含量。我们使用晕目录产生的数值N体模拟的宇宙大尺度作为代理观察到的星系。除了计算实空间中晕的Fisher矩阵外,我们还在红移空间中检查了更现实的场景。不需要采取远距离观察者近似,我们将观察者放置在盒子的一角。我们还增加了模仿光谱和光度样品的红移误差。我们进行了几个测试,以评估我们的Fisher矩阵的可靠性,包括我们的汇总统计和收敛的高斯性。我们发现在一个观测体积$1$ $($ Gpc $/h)^3$上,红移空间中的边缘化1- $σ$不确定度是$Δf_{\rm NL}^{\rm loc} \sim 16$和$Δf_{\rm NL}^{\rm equi} \sim 41 $.这些约束是弱的红移误差的影响。最后,我们推测这种方法可以通过利用(非)局部性来对抗小规模的不确定性。

英文摘要:

We study the information content of summary statistics built from the multi-scale topology of large-scale structures on primordial non-Gaussianity of the local and equilateral type. We use halo catalogs generated from numerical N-body simulations of the Universe on large scales as a proxy for observed galaxies. Besides calculating the Fisher matrix for halos in real space, we also check more realistic scenarios in redshift space. Without needing to take a distant observer approximation, we place the observer on a corner of the box. We also add redshift errors mimicking spectroscopic and photometric samples. We perform several tests to assess the reliability of our Fisher matrix, including the Gaussianity of our summary statistics and convergence. We find that the marginalized 1-$σ$ uncertainties in redshift space are $Δf_{\rm NL}^{\rm loc} \sim 16$ and $Δf_{\rm NL}^{\rm equi} \sim 41 $ on a survey volume of $1$ $($Gpc$/h)^3$. These constraints are weakly affected by redshift errors. We close by speculating as to how this approach can be made robust against small-scale uncertainties by exploiting (non)locality.

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