论文标题
在探测原始特征中，探索即将进行的宇宙微波背景任务的SKA调查的作用
Exploring the role of SKA surveys with upcoming cosmic microwave background missions in probing primordial features
论文作者
论文摘要
本文致力于彻底探索即将到来的宇宙微波背景（CMB）任务的协同作用和方形公里阵列（SKA）调查，以检测原始功率谱的特征。根据定义，特定的特定规模依赖性修改对最小幂律功率谱。功能的功能形式取决于考虑到通货膨胀情况。识别与无功能的幂律功率谱的任何结论性偏差都将使我们在很大程度上可以消除原始宇宙的微观物理学。在这里，我们考虑了三种重要的理论上动机模型，即尖锐的特征信号，共振特征信号和凸起功能。为了研究这些功能，我们将每个特征模型与称为模板的特定比例依赖性函数相关联。在这里，我们探索了每个特征模型的三个不同的基准模型，并为每个基准模型进行比较，我们比较了宇宙学调查的36种不同组合的灵敏度。我们实现了Fisher矩阵预测方法，以获取未来CMB任务的特征模型参数的可能约束，即，与即将进行的SKA Surveys的Synergy中的Ska ca-cosmic Shear shear and Ska-Intsitments映射Surveys有关SKA Surveys的协同效应中的Synergy中的COMB-S4和CMB-S4。此外，还探讨了将欧几里得 - 气候调查与SKA强度映射调查相结合的重要性。为了考虑在估计特征参数的不确定性时传播非线性量表的理论不确定性的可行性，我们采用了量表的红移依赖性上限。为了证明这些未来调查对特征模型参数的相对敏感性，我们对所有三个特征模型进行了比较分析。
This present article is dedicated to thoroughly exploring the competency of the synergy of the upcoming Cosmic Microwave Background (CMB) missions and Square Kilometre Array (SKA) surveys in detecting features in the primordial power spectrum. Features are by definition specific scale-dependent modifications to the minimal power-law power spectrum. The functional form of the features depends on the inflationary scenarios taken into consideration. The identification of any conclusive deviation from the feature-less power-law power spectrum will allow us to largely fathom out the microphysics of the primordial universe. Here, we consider three vital theoretically motivated feature models, namely, Sharp feature signal, Resonance feature signal, and Bump feature. To investigate these features, we associate each feature model with a specific scale-dependent function called a template. Here we explore three distinct fiducial models for each feature model and for each fiducial model we compare the sensitivity of 36 different combinations of the cosmological surveys. We implement the Fisher matrix forecast method to obtain the possible constraints on the feature model parameters for the future CMB missions, namely, PICO, CORE-M5, LiteBIRD and CMB-S4 in synergy with upcoming SKA surveys, wherein we explore SKA-Cosmic Shear and SKA-Intensity Mapping surveys. Furthermore, the significance of combining EUCLID-Galaxy surveys with the SKA-Intensity Mapping survey is also explored. To consider the feasibility of propagating theoretical uncertainties of nonlinear scales in estimating the uncertainties on the feature parameters, we adopt redshift dependent upper limits of scales. To demonstrate the relative sensitivities of these future surveys towards the parameters of the feature models, we present a comparative analysis of all three feature models.
