论文标题

比较删除方法和评估未来实验的推牌能力

Comparison of delensing methodologies and assessment of the delensing capabilities of future experiments

论文作者

Diego-Palazuelos, P., Vielva, P., Martínez-González, E., Barreiro, R. B.

论文摘要

为下一代提出的大多数CMB实验旨在检测原始引力波背景(PGWB)。该目标的实现取决于我们分离银河前景排放的能力,以及\ emph {delens}弱重力透镜引起的次级B模式分量。在这项工作中,我们重点介绍了这些努力的后者,我们简要回顾了镜头的基本方面,并详尽地比较了天生近似值中当前的删除方法和实现的性能,以准备在接下来的几年中分析数据。可以从我们的研究中得出的两个主要结论是,对于下一代实验,延误效率仍然会受到数据本身质量的限制,而不是当前删除方法的局限性,而在抗升级近似过程中,该模板将是最佳的(平衡准确性和计算成本),可以使用。然后,我们通过将这些方法应用于典型的CMB和镜头的数值模拟,评估未来实验(例如Simons观测值,CMB阶段IV或Litebird和Pico卫星)的推文功能,并将其预期产生和外部删除能够改善其敏感性的潜在重建。我们还考虑了对数据提供的联合分析所提供的好处。

Most of the CMB experiments proposed for the next generation aim to detect the Primordial Gravitational Wave Background (PGWB). The fulfillment of this objective depends on our capacity to separate Galactic foreground emissions and to \emph{delens} the secondary B-mode component induced by weak gravitational lensing. Focusing on the latter of these efforts, in this work we briefly review the basic aspects of lensing, and exhaustively compare the performance of current delensing methodologies and implementations within the Born approximation as a preparation for the analysis of the data to come in the following years. Two of the main conclusions that can be drawn from our study are that, for next-generation experiments, delensing efficiency will still be limited by the quality of the data itself rather than by the limitations of current delensing methodologies, and that template delensing within the antilensing approximation will be the optimal (balancing accuracy and computational cost) technique to employ. We then evaluate the delensing capabilities of future experiments (like the Simons Observatory, the CMB Stage-IV, or the LiteBIRD and PICO satellites) by applying that methodology onto numerical simulations of the typical CMB and lensing potential reconstructions that they are expected to produce, and quantify how internal and external delensing will help them to improve their sensitivity to detect the PGWB. We also consider the benefits that a joint analysis of their data would provide.

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