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Snowmass2021宇宙前沿白皮书:暗物质物理学的宇宙学模拟

Snowmass2021 Cosmic Frontier White Paper: Cosmological Simulations for Dark Matter Physics

Arka Banerjee, Kimberly K. Boddy, Francis-Yan Cyr-Racine, Adrienne L. Erickcek, Daniel Gilman, Vera Gluscevic, Stacy Kim, Benjamin V. Lehmann, Yao-Yuan Mao, Phi… 展开作者

Arka Banerjee, Kimberly K. Boddy, Francis-Yan Cyr-Racine, Adrienne L. Erickcek, Daniel Gilman, Vera Gluscevic, Stacy Kim, Benjamin V. Lehmann, Yao-Yuan Mao, Philip Mocz, Ferah Munshi, Ethan O. Nadler, Lina Necib, Aditya Parikh, Annika H. G. Peter, Laura Sales, Mark Vogelsberger, Anna C. Wright

摘要:

在过去的几十年里,意想不到的天文发现一直在推动新一轮的粒子模型构建,并激发下一代更复杂的模拟来揭示暗物质(DM)的本质。这与新的观测设施的出现相吻合,包括JWST,鲁宾天文台,南希格雷斯罗马太空望远镜和CMB-S4。现在是建立一个新的模拟程序来解释观测结果的时候了,这样我们就可以在一个大的动态范围的长度尺度和宇宙时间内识别DM微观物理学的新特征。本白皮书确定了此类模拟程序所需的关键要素。我们确定了粒子理论方面以及模拟算法和实现方面的增长领域,以便我们能够稳健地模拟DM的宇宙演化,以获得动机良好的模型。我们建议,模拟包括一个完全校准和良好的重子物理测试的治疗,并输出应连接到观测空间中的观测。我们确定了目前可用于预测的工具和方法,以及构建更多这些工具的前进道路。一个强大的宇宙DM模拟程序的关键是翻译宇宙学观测DM基础物理的强大约束,并提供了一个连接到DM物理实验室为基础的探头。

英文摘要:

Over the past several decades, unexpected astronomical discoveries have been fueling a new wave of particle model building and are inspiring the next generation of ever-more-sophisticated simulations to reveal the nature of Dark Matter (DM). This coincides with the advent of new observing facilities coming online, including JWST, the Rubin Observatory, the Nancy Grace Roman Space Telescope, and CMB-S4. The time is now to build a novel simulation program to interpret observations so that we can identify novel signatures of DM microphysics across a large dynamic range of length scales and cosmic time. This white paper identifies the key elements that are needed for such a simulation program. We identify areas of growth on both the particle theory side as well as the simulation algorithm and implementation side, so that we can robustly simulate the cosmic evolution of DM for well-motivated models. We recommend that simulations include a fully calibrated and well-tested treatment of baryonic physics, and that outputs should connect with observations in the space of observables. We identify the tools and methods currently available to make predictions and the path forward for building more of these tools. A strong cosmic DM simulation program is key to translating cosmological observations to robust constraints on DM fundamental physics, and provides a connection to lab-based probes of DM physics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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