发表机构
University of California, Berkeley（加州大学伯克利分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本论文以POLARBEAR和LiteBIRD实验为例，介绍CMB数据分析，包括利用POLARBEAR数据测量亚度尺度B模式，以及针对LiteBIRD实验开发解析模型和硬件缓解策略以处理探测器串扰系统效应。
AI 中文摘要
本论文中，我简要回顾了我的研究领域——从天体物理学、宇宙学，到宇宙微波背景（CMB）辐射；以及数据科学与高性能计算。在第一部分，我简要介绍了宇宙的起源，并在第二部分介绍了CMB的物理学。随后，在第三部分，我转向讨论如何通过实验、数学和计算方式对其进行观测。在第四、五和六部分，我撰写了关于两个具体的CMB实验——POLARBEAR和LiteBIRD——以及我所参与的相关研究。在第五部分，我利用POLARBEAR第3至第5季的观测数据，展示了一项关于亚度尺度CMB B模式测量的原创研究。这证明了单个中等口径望远镜配备连续旋转半波片（CRHWP）能够同时针对低ℓ和高ℓ的B模式科学目标，覆盖50 ≤ ℓ ≤ 3000的范围。在第六部分，我以LiteBIRD实验为例，详细研究了探测器串扰系统效应对CMB功率谱的影响。我开发了一种解析的、基于图域的解决方案，实现了一种计算模拟方法，并利用LiteBIRD实验设计规范对两种预测进行了比较。两者的总体一致性表明，解析模型能够很好地描述LiteBIRD实验，并且可以在无需进行耗时的时域模拟的情况下，以高精度计算系统效应。这可用于预测串扰系统效应的量级，并制定缓解策略。我提出了一种缓解策略，这是一种基于硬件的缓解方法，可最小化二点功率谱中的串扰系统效应。第一至第四部分是介绍性材料，总结了该领域广为人知的知识；第五和第六部分则为原创研究。
英文摘要
In this dissertation, I briefly go through my subject areas -- from Astrophysics, Cosmology, to Cosmic Microwave Background (CMB) radiation; and Data Science & High-Performance Computing. I go through the beginning of the Universe briefly in Part I and introduce the Physics of the CMB in Part II. Then I move on to how it can be observed experimentally, mathematically, and computationally in Part III. In Parts IV, V and VI, I write about 2 specific CMB experiments -- POLARBEAR & LiteBIRD, together with my research involved in them. In Part V, an original research on a measurement of the CMB $B$-mode at sub-degree scales is presented using the 3rd-5th seasons of POLARBEAR observations. This demonstrates the capability of a single medium aperture telescope with a Continuously Rotating Half-Wave Plate (CRHWP) to target both the low-$\ell$ and high-$\ell$ $B$-mode science at $50 \leq \ell \leq 3000$. In Part VI, the effect of detector crosstalk systematics on the CMB power-spectra is studied in detail in the example of the LiteBIRD experiment. An analytical, map-domain solution is developed, a computational simulation method is implemented, and the two predictions are compared using the LiteBIRD experiment design specification. The general agreement of the two shows that the analytical model well describes the LiteBIRD experiment, and can be used to calculate the systematic effects without performing time-consuming time-domain simulations with high degree of accuracy. This can be used to forecast the amount of crosstalk systematics and to develop mitigation strategies. A mitigation strategy is presented, which is a hardware-based mitigation method that minimizes the crosstalk systematic effects in the 2pt power-spectra. Parts I-IV are introductory material summarizing well-known knowledge in the field; Parts V and VI are original research.
CommentsPhD thesis, University of California, Berkeley, 2022. 242 pages, 66 figures, 6 tables. Also available at https://escholarship.org/uc/item/0hh4w9v6
