SuperCDMS SNOLAB 设施中利用低温探测器搜寻低质量暗物质的一种策略
摘要
SuperCDMS 合作组目前正在建设 SuperCDMS SNOLAB，这是一项专注于 1-5 GeV/c 质量范围内核子耦合暗物质的暗物质搜寻实验。展望未来，合作组已制定了一套基于经验的升级方案以及新颖方向，以利用 SNOLAB 设施中的 SuperCDMS 技术扩展暗物质搜寻。基于经验的方案预计将探测 5 GeV/c 以下许多平方数量级尚未探索的暗物质参数空间，覆盖超过 6 个数量级的质量范围：暗光子和类轴子粒子为 1-100 eV/c，暗光子耦合轻暗物质为 1-100 MeV/c，核子耦合暗物质为 0.05-5 GeV/c。它们将在 0.5-5 GeV/c 质量范围内抵达中微子迷雾，并检验多种基准模型和尖锐靶标。新颖方向涉及对当前 SuperCDMS 技术更大的偏离，但长远承诺更大的触及范围，且其研发必须现在就开始以使其能及时可用。基于经验的升级方案主要依赖基于已证实标度律和当前性能合理外推的探测器性能大幅改进。重要的是，这些探测器性能的改进免除了对 SuperCDMS SNOLAB 实验当前预期之外背景水平的显著降低。鉴于 SuperCDMS SNOLAB 的主要限制背景是探测器中宇宙成因产生的放射性同位素，其可能仅能通过同位素纯化和从晶体生长前到探测器测试的地下的探测器生命周期来控制，潜在的代价和时间节省是巨大的，且必要的改进更容易原型化。
引用
@article{arxiv.2203.08463,
title = {A Strategy for Low-Mass Dark Matter Searches with Cryogenic Detectors in the SuperCDMS SNOLAB Facility},
author = {SuperCDMS Collaboration and M. F. Albakry and I. Alkhatib and D. W. P. Amaral and T. Aralis and T. Aramaki and I. J. Arnquist and I. Ataee Langroudy and E. Azadbakht and S. Banik and C. Bathurst and D. A. Bauer and R. Bhattacharyya and P. L. Brink and R. Bunker and B. Cabrera and R. Calkins and R. A. Cameron and C. Cartaro and D. G. Cerdeno and Y. -Y. Chang and M. Chaudhuri and R. Chen and N. Chott and J. Cooley and H. Coombes and J. Corbett and P. Cushman and F. De Brienne and S. Dharani and M. L. di Vacri and M. D. Diamond and E. Fascione and E. Figueroa-Feliciano and C. W. Fink and K. Fouts and M. Fritts and G. Gerbier and R. Germond and M. Ghaith and S. R. Golwala and J. Hall and N. Hassan and B. A. Hines and M. I. Hollister and Z. Hong and E. W. Hoppe and L. Hsu and M. E. Huber and V. Iyer and A. Jastram and V. K. S. Kashyap and M. H. Kelsey and A. Kubik and N. A. Kurinsky and R. E. Lawrence and M. Lee and A. Li and J. Liu and Y. Liu and B. Loer and P. Lukens and D. B. MacFarlane and R. Mahapatra and V. Mandic and N. Mast and A. J. Mayer and H. Meyer zu Theenhausen and E. Michaud and E. Michielin and N. Mirabolfathi and B. Mohanty and S. Nagorny and J. Nelson and H. Neog and V. Novati and J. L. Orrell and M. D. Osborne and S. M. Oser and W. A. Page and R. Partridge and D. S. Pedreros and R. Podviianiuk and F. Ponce and S. Poudel and A. Pradeep and M. Pyle and W. Rau and E. Reid and R. Ren and T. Reynolds and A. Roberts and A. E. Robinson and T. Saab and B. Sadoulet and I. Saikia and J. Sander and A. Sattari and B. Schmidt and R. W. Schnee and S. Scorza and B. Serfass and S. S. Poudel and D. J. Sincavage and C. Stanford and J. Street and H. Sun and F. K. Thasrawala and D. Toback and R. Underwood and S. Verma and A. N. Villano and B. von Krosigk and S. L. Watkins and O. Wen and Z. Williams and M. J. Wilson and J. Winchell and K. Wyko and S. Yellin and B. A. Young and T. C. Yu and B. Zatschler and S. Zatschler and A. Zaytsev and E. Zhang and L. Zheng and S. Zuber},
journal= {arXiv preprint arXiv:2203.08463},
year = {2023}
}
备注
contribution to Snowmass 2021; v2 updated (assorted corrections and improvements to forecasts) October 2022; v3 updated (corrected SuperCDMS SNOLAB sensitivity curves in upgrade forecast plots in body of text) April 2023