Constraining single-field inflation with MegaMapper

Constraining single-field inflation with MegaMapper
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使用 MegaMapper 限制单字段膨胀

DOI:
10.1016/j.physletb.2023.137912
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发表时间:
2023
期刊:
影响因子:
4.4
通讯作者:
Zaldarriaga, Matias
Zaldarriaga, Matias
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Cabass, Giovanni;Ivanov, Mikhail M.;Philcox, Oliver H.E.;Simonović, Marko;Zaldarriaga, Matias

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我们预测的约束单场膨胀的双谱未来的高红移调查,如MegaMapper。考虑到非局部原始非高斯性(NLPNG),我们发现,目前的方法将产生的约束顺序σ(f NL eq)<$23,σ(f NL orth)<$12在联合功率谱和双谱分析,改变讨厌的参数和宇宙学,包括保守的尺度范围。固定宇宙学参数和二次偏置参数关系,极限明显收紧到σ(f NL eq)<$17,σ(f NL orth)<$8。这些与CMB-S4的预测边界相比毫不逊色:σ(f NL eq)≈ 21,σ(f NL orth)≈ 9,组合约束为σ(f NL eq)≈ 14,σ(f NL orth)≈ 7;如果结合西蒙斯天文台的数据,这一点只会略有减弱。我们还进行了一系列的Fisher分析的错误,预测的依赖滋扰参数边缘化,规模削减,和调查策略。缺乏知识的偏见和counterterterm参数被发现显着限制的信息内容,这可以得到改善的滋扰参数的紧模拟为基础的先验。随着观测星系的数量和观测深度的增加,误差条显著减小:正如预期的那样,深密观测是最具限制性的,尽管用目前的方法很难达到σ(f NL)ε 1。NLPNG约束将随着改进的理论模型(包括更高的环路校正和对干扰参数的更好理解)以及包括额外的高阶统计量而进一步收紧。
We forecast the constraints on single-field inflation from the bispectrum of future high-redshift surveys such as MegaMapper. Considering non-local primordial non-Gaussianity (NLPNG), we find that current methods will yield constraints of order σ (f NL eq)≈ 23, σ (f NL orth)≈ 12 in a joint power-spectrum and bispectrum analysis, varying both nuisance parameters and cosmology, including a conservative range of scales. Fixing cosmological parameters and quadratic bias parameter relations, the limits tighten significantly to σ (f NL eq)≈ 17, σ (f NL orth)≈ 8. These compare favorably with the forecasted bounds from CMB-S4: σ (f NL eq)≈ 21, σ (f NL orth)≈ 9, with a combined constraint of σ (f NL eq)≈ 14, σ (f NL orth)≈ 7; this weakens only slightly if one instead combines with data from the Simons Observatory. We additionally perform a range of Fisher analyses for the error, forecasting the dependence on nuisance parameter marginalization, scale cuts, and survey strategy. Lack of knowledge of bias and counterterm parameters is found to significantly limit the information content; this could be ameliorated by tight simulation-based priors on the nuisance parameters. The error-bars decrease significantly as the number of observed galaxies and survey depth is increased: as expected, deep dense surveys are the most constraining, though it will be difficult to reach σ (f NL)≈ 1 with current methods. The NLPNG constraints will tighten further with improved theoretical models (incorporating higher-loop corrections and improved understanding of nuisance parameters), as well as the inclusion of additional higher-order statistics.
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发表时间: 2020-05-01
影响因子: 6.4
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用即将到来的光学和射电勘测中的双谱和功率谱来约束原始非高斯性
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