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arXiv 2011.14774astro-ph.CO
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原始标量功率谱中的可检测数据驱动特征

Detectable Data-driven Features in the Primordial Scalar Power Spectrum

Muhammad Sadegh Esmaeilian, Marzieh Farhang, Shirin Khodabakhshi

摘要:

在这项工作中,我们将探讨未来大规模调查的力量,以限制可能偏离标准的单场慢卷通货膨胀的情况。具体来说,我们参数化周围的几乎标度不变的原始标量功率谱的模型无关的方式可能的波动。然后,我们使用它们在模拟的物质分布上的印记,正如欧几里得和平方公里阵列的星系聚类和弱透镜探测所观察到的那样,来构建最佳的波动约束模式。为了比较,我们对未来的CMB-S4调查进行了类似的预测。模式被发现有类似的,但移位,模式,随着模式数的增加,摆动的数量增加。预测的约束是最严格的CMB各向异性和星系集群,这取决于详细的规格的调查。作为案例研究,我们探讨了两个非常不同的物理动机模式的原始功率谱重建所提出的模式。我们提出了一个数字的优点的基础上提供的信息量的模式截断的模式层次结构,这是自动生成的分析。

英文摘要:

In this work we explore the power of future large-scale surveys to constrain possible deviations from the standard single-field slow-roll inflationary scenario. Specifically, we parametrize possible fluctuations around the almost scale-invariant primordial scalar power spectrum in a model independent way. We then use their imprints on the simulated matter distribution, as observed by the galaxy clustering and weak lensing probes of Euclid and Square Kilometer Array, to construct the best constrainable patterns of fluctuations. For comparison, we make similar forecasts for a futuristic CMB-S4-like survey. The modes are found to have similar, yet shifted, patterns, with increasing number of wiggles as the mode number increases. The forecasted constraints are tightest for CMB anisotropies and galaxy clustering, depending on the details of the specifications of the survey. As case studies, we explore how two greatly different physically motivated patterns of primordial power spectrum are reconstructed by the proposed modes. We propose a figure of merit based on the amount of information delivered by the modes to truncate the mode hierarchy which is automatically generated by the analysis.

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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