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arXiv 2203.06508hep-phastro-ph.COhep-ex
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Snowmass2021宇宙前沿白皮书:超重粒子暗物质

Snowmass2021 Cosmic Frontier White Paper: Ultraheavy particle dark matter

Daniel Carney, Nirmal Raj, Yang Bai, Joshua Berger, Carlos Blanco, Joseph Bramante, Christopher Cappiello, Maíra Dutra, Reza Ebadi, Kristi Engel, Edward Kolb, J… 展开作者

Daniel Carney, Nirmal Raj, Yang Bai, Joshua Berger, Carlos Blanco, Joseph Bramante, Christopher Cappiello, Maíra Dutra, Reza Ebadi, Kristi Engel, Edward Kolb, J. Patrick Harding, Jason Kumar, Gordan Krnjaic, Rafael F. Lang, Rebecca K. Leane, Benjamin V. Lehmann, Shengchao Li, Andrew J. Long, Gopolang Mohlabeng, Ibles Olcina, Elisa Pueschel, Nicholas L. Rodd, Carsten Rott, Dipan Sengupta, Bibhushan Shakya, Ronald L. Walsworth, Shawn Westerdale

AI总结:

本文概述了质量介于10 TeV至普朗克尺度的超重暗物质候选粒子的搜索机遇与挑战,强调现有及新探测技术在未来十年内的贡献,并呼吁发展新分析方法和超高灵敏度探测器技术。

摘要:

我们概述了寻找质量介于约$10~{\rm TeV}$与普朗克尺度$m_{\rm pl} \approx 10^{16}~{\rm TeV}$之间的“超重”暗物质候选粒子的独特机遇与挑战。这一质量范围呈现出一个广阔且相对未被探索的暗物质参数空间,其中包含丰富的可能模型和宇宙历史。我们强调,现有探测器和新的定向搜索技术,通过直接和间接探测,都准备在未来十年内为超重粒子暗物质的搜索做出贡献。我们强调该领域新发展的必要性,包括对当前和即将进行的针对超重暗物质的直接和间接实验进行新分析,以及开发新的超高灵敏度探测器技术,如下一代液态惰性气体探测器、中微子实验和专门的量子传感技术。

英文摘要:

We outline the unique opportunities and challenges in the search for "ultraheavy" dark matter candidates with masses between roughly $10~{\rm TeV}$ and the Planck scale $m_{\rm pl} \approx 10^{16}~{\rm TeV}$. This mass range presents a wide and relatively unexplored dark matter parameter space, with a rich space of possible models and cosmic histories. We emphasize that both current detectors and new, targeted search techniques, via both direct and indirect detection, are poised to contribute to searches for ultraheavy particle dark matter in the coming decade. We highlight the need for new developments in this space, including new analyses of current and imminent direct and indirect experiments targeting ultraheavy dark matter and development of new, ultra-sensitive detector technologies like next-generation liquid noble detectors, neutrino experiments, and specialized quantum sensing techniques.

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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