发表机构
The Ohio State University（俄亥俄州立大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文评估了利用小红点（LRDs）的空间成团性作为高红移探针，通过Fisher预测分析，发现其能在参数空间大范围内高显著性检测多源暴胀，且约束力优于现有实验。
AI 中文摘要
近期研究提出利用小红点（LRDs）的空间成团性作为高红移宇宙学探针。本文中，我们研究了通过未来空间实验获取LRD样本的可行性，并预测了LRD对原初局域型非高斯性$f^{\rm loc}_{\rm NL}$以及坍缩极限三谱幅度$\tau^{\rm loc}_{\rm NL}$的约束能力。LRD非常适合探测这些暴胀参数，因为它们覆盖了巨大的宇宙学体积，具有高偏置且易于识别。我们进行了理想化的联合$f_{\rm NL}^{\rm loc}$--$\tau_{\rm NL}^{\rm loc}$ Fisher预测，假设了普适性关系、高斯协方差、泊松散粒噪声以及归一化红移弥散$\frac{\sigma(z)}{1+z}=0.03$。我们量化了在Suyama-Yamaguchi关系$\tau^{\rm loc}_{\rm NL} > \left( \frac{6}{5} f_{\rm NL} \right)^2$下，在$f_{\rm NL}^{\rm loc}$--$\tau_{\rm NL}^{\rm loc}$平面上检测多源暴胀的显著性。我们发现，LRD分析能够在参数空间的大范围内以高显著性稳健地检测多源暴胀，并且比所有其他过去或现在的实验更具约束力。
英文摘要
Recent work has proposed using the spatial clustering of Little Red Dots (LRDs) as a high-redshift cosmological probe. In this paper, we investigate the feasibility of obtaining a LRD sample with a future space experiment, and forecast LRD constraints on primordial local-type non-Gaussianity, $f^{\rm loc}_{\rm NL}$, and the collapsed-limit trispectrum amplitude, $τ^{\rm loc}_{\rm NL}$. LRDs are ideally suited to probe these inflationary parameters because they span a large cosmological volume, have high bias and are easily identifiable. We perform idealised joint $f_{\rm NL}^{\rm loc}$--$τ_{\rm NL}^{\rm loc}$ Fisher forecasts assuming the universality relation, Gaussian covariance, Poisson shot-noise and a normalised redshift dispersion, $σ(z) / \left( {1+z} \right)= 0.03$. We quantify the significance at which one would detect multi-source inflation under the Suyama--Yamaguchi relation, $τ^{\rm loc}_{\rm NL} > \left( 6/5 f_{\rm NL}\right)^2$, across the $f_{\rm NL}^{\rm loc}$--$τ_{\rm NL}^{\rm loc}$ plane. We find that a LRD analysis could robustly detect multi-source inflation at high-significance over a large region of parameter space, and would be more constraining than all other past or present experiments.
Comments11 pages, 2 figures. To be submitted to The Open Journal of Astrophysics
