"New Algorithms for Cosmological Data Analaysis"

现代天文数据揭示了一个充满谜题和惊喜的宇宙。我们已经知道，宇宙中的大部分物质是“暗物质”，这是一种我们无法在实验室中制造出来的新型物质。我们已经了解到，在最近的宇宙历史中，宇宙已经成为由“暗能量”主导的，这是一种不同于暗物质和普通物质的流体状成分。通过宇宙微波背景，我们得以一窥导致宇宙处于大爆炸状态的量子力学过程。我是一名宇宙学家，我的工作结合了理论物理、数据分析和软件工程。现代宇宙学是一门计算量很大的学科，每一代新望远镜都会带来新的计算和数据分析挑战。我在圆周研究所领导一个由学生和博士后组成的团队，致力于为即将到来的实验开发新的算法、统计方法和软件工具。这种高影响力的研究对学生来说是一个绝佳的机会，可以帮助他们回答天体物理学中尚未解决的核心问题，也可以让加拿大在国际舞台上发挥主导作用。目前，我的研究团队主要集中在三个研究课题上。首先，我们正在为CHIME（加拿大氢强度测绘实验）望远镜开发算法和软件。CHIME是不列颠哥伦比亚省的一个新的射电望远镜，也是几十年来加拿大第一个新的研究望远镜。部分由于我们的工作，CHIME是世界上最强大的望远镜（到目前为止！），用于发现快速射电暴，这是一种神秘的暴力天体物理事件，其起源尚不清楚。其次，我的小组是西蒙斯天文台的一部分，这是一个国际项目，旨在建造世界上最大的CMB（宇宙微波背景）望远镜，从2021年到2022年开始。这台仪器将以前所未有的细节回顾宇宙历史上最早的时刻。它的首要目标是回答科学中一些最古老的问题：宇宙是由什么组成的？它是如何开始的？它将如何结束？我们的研究重点是在最小尺度上分析CMB波动的新统计数据，这是新的技术挑战。第三，我对探索人工智能在天体物理学中的应用很感兴趣。人工智能是一项新兴技术，在包括天体物理学在内的许多科学领域具有变革潜力。在过去的几年里，由于更快的计算硬件和人工智能算法的基础改进，人工智能的进步大大加快。未来几年将是探索将人工智能应用于宇宙学、天体物理学等领域的激动人心的时期。

Modern astronomical data has revealed a universe full of puzzles and surprises. We have learned that most of the matter in the universe is "dark matter", a new type of matter we have not been able to produce in the laboratory. We have learned that recently in cosmic history, the universe has become dominated by "dark energy", a fluid-like component which is distinct from dark matter and ordinary  matter. Through the cosmic microwave background, we have obtained a glimpse of the quantum mechanical processes responsible for starting the universe in a big bang state. I am a cosmologist whose work combines theoretical physics, data analysis, and software engineering. Modern cosmology is a heavily computational subject, and each new generation of telescopes brings new computational and data analysis challenges. I lead a team of students and postdocs at Perimeter Institute focused on developing new algorithms, statistical methods, and software tools for upcoming experiments. This type of high-impact research is an amazing opportunity for students to help answer central unsolved problems in astrophysics, and for Canada to play a leading role on the international stage. Currently, my research team is concentrating on three main research topics. First, we are developing algorithms and software for the CHIME (Canadian Hydrogen Intensity Mapping Experiment) telescope. CHIME is a new radio telescope in British Columbia, and the first new Canadian research telescope in several decades. Thanks in part to our work, CHIME is the world's most powerful telescope (by far!) for finding fast radio bursts, a mysterious type of violent astrophysical event whose origin is not yet understood. Second, my group is part of the Simons Observatory, an international project to build the world's largest CMB (cosmic microwave background) telescope, starting in 2021-22. This instrument will look back to the earliest moments in the universe's history in unprecedented detail. Its overarching goal is to answer some of the oldest questions in science: What is the universe made of? How did it begin? How will it end? Our research focuses on new statistics for analyzing CMB fluctuations on the very smallest scales, where new technical challenges arise. Third, I am interested in exploring applications of artificial intelligence (AI) in astrophysics. AI is an emerging technology with transformative potential in many areas of science, including astrophysics. In the last few years, progress in AI has accelerated dramatically, thanks to faster computing hardware and foundational improvements in AI algorithms. The next few years will be an exciting time to explore ideas for using AI in cosmology, astrophysics, and beyond.