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arXiv 2310.06010astro-ph.CO
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利用一维小波散射变换和Lyman-α森林进行宇宙约束的预测

Forecast Cosmological Constraints with the 1D Wavelet Scattering Transform and the Lyman-$α$ forest

University of California Riverside(加州大学河滨分校);University of Washington(华盛顿大学);Colorado State University(科罗拉多州立大学)

Hurum Maksora Tohfa, Simeon Bird, Ming-Feng Ho, Mahdi Qezlou, Martin Fernandez

AI总结:

本文利用一维小波散射变换和Lyman-α森林预测宇宙学约束,发现其比功率谱更有效,能显著提高参数空间的约束精度。

摘要:

我们对使用Lyman-α森林宇宙巡天所具有的约束能力进行了预测。通过模拟数据和Fisher矩阵,我们表明散射变换系数中包含大量的宇宙学信息,这些信息未被通量功率谱所捕捉。我们假设每个类星体具有不相关的高斯像素噪声,其水平来自一个简单的对数正态模型,以估计模拟协方差矩阵。额外的信息来自一阶小波功率的估计协方差更小,以及二阶小波系数所探测的非高斯信息。从WST得出的宇宙学参数约束比功率谱更紧,将4D参数空间缩小了10^6倍。如果这些改进能通过DESI实现,那么暴胀运行将被限制到测试常见的暴胀模型预测的α_s = -6×10^-4,中微子质量约束将足够改进以实现最小中微子质量的5σ检测。

英文摘要:

We make forecasts for the constraining power of the 1D Wavelet Scattering Transform (WST) when used with a Lyman-$α$ forest cosmology survey. Using mock simulations and a Fisher matrix, we show that there is considerable cosmological information in the scattering transform coefficients not captured by the flux power spectrum. We estimate mock covariance matrices assuming uncorrelated Gaussian pixel noise for each quasar, at a level drawn from a simple lognormal model. The extra information comes from a smaller estimated covariance in the first-order wavelet power, and from second-order wavelet coefficients which probe non-Gaussian information in the forest. Forecast constraints on cosmological parameters from the WST are more than an order of magnitude tighter than for the power spectrum, shrinking a $4D$ parameter space by a factor of $10^6$. Should these improvements be realised with DESI, inflationary running would be constrained to test common inflationary models predicting $α_s = - 6\times 10^{-4}$ and neutrino mass constraints would be improved enough for a $5-σ$ detection of the minimal neutrino mass.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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