Snowmass2021 Theory Frontier White Paper: Astrophysical and Cosmological Probes of Dark Matter

Snowmass2021 Theory Frontier White Paper: Astrophysical and Cosmological Probes of Dark Matter
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DOI:
10.1016/j.jheap.2022.06.005
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发表时间:
2022-03
影响因子:
3.8
通讯作者:
K. Boddy;M. Lisanti;Samuel D. McDermott;N. Rodd;C. Weniger;Yacine Ali-Haïmoud;M. Buschmann;I. Cholis;Djuna Croon;A. Erickcek;V. Gluscevic;R. K. Leane;S. Mishra-Sharma;Julian B. Muñoz;E. Nadler;P. Natarajan;A. Price-Whelan;S. Vegetti;S. Witte
K. Boddy;M. Lisanti;Samuel D. McDermott;N. Rodd;C. Weniger;Yacine Ali-Haïmoud;M. Buschmann;I. Cholis;Djuna Croon;A. Erickcek;V. Gluscevic;R. K. Leane;S. Mishra-Sharma;Julian B. Muñoz;E. Nadler;P. Natarajan;A. Price-Whelan;S. Vegetti;S. Witte
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
K. Boddy;M. Lisanti;Samuel D. McDermott;N. Rodd;C. Weniger;Yacine Ali-Haïmoud;M. Buschmann;I. Cholis;Djuna Croon;A. Erickcek;V. Gluscevic;R. K. Leane;S. Mishra-Sharma;Julian B. Muñoz;E. Nadler;P. Natarajan;A. Price-Whelan;S. Vegetti;S. Witte

文献摘要

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虽然天体物理学和宇宙学探测提供了一个非常精确和一致的暗物质的数量和一般性质的图片,它的基本性质仍然是物理学中最重要的开放问题之一。在未来十年内获得对暗物质更全面的了解将需要克服一些理论挑战:现在正在为这些进步奠定基础,但还有很多工作要做。在即将到来的挑战中,最主要的是建立理论基础,以充分利用天体物理和宇宙学领域中新观测值的潜力,从早期宇宙到星系内部和其中的恒星。确定暗物质的性质还需要重新利用和实施天体物理学典型工具包之外的广泛理论技术,从有效场论到机器学习和人工智能统计推断的急剧发展。通过这项工作,理论前沿将成为未来十年暗物质发现的核心。
While astrophysical and cosmological probes provide a remarkably precise and consistent picture of the quantity and general properties of dark matter, its fundamental nature remains one of the most significant open questions in physics. Obtaining a more comprehensive understanding of dark matter within the next decade will require overcoming a number of theoretical challenges: the groundwork for these strides is being laid now, yet much remains to be done. Chief among the upcoming challenges is establishing the theoretical foundation needed to harness the full potential of new observables in the astrophysical and cosmological domains, spanning the early Universe to the inner portions of galaxies and the stars therein. Identifying the nature of dark matter will also entail repurposing and implementing a wide range of theoretical techniques from outside the typical toolkit of astrophysics, ranging from effective field theory to the dramatically evolving world of machine learning and artificial-intelligence-based statistical inference. Through this work, the theory frontier will be at the heart of dark matter discoveries in the upcoming decade.