ADMX状态
ADMX Status
摘要：
几乎所有的天体物理学和宇宙学数据都令人信服地指出，宇宙中有很大一部分冷暗物质（CDM）。轴子粒子，第一次被理论化作为量子色动力学强电荷宇称问题的解决方案，已经被确立为一个突出的CDM候选者。宇宙观测和粒子物理实验已经将CDM轴子的未知质量界定在大约μeV和meV之间。轴子暗物质实验（ADMX）是一个直接探测CDM轴子的研究，它在轴子质量在1.9和3.7 μeV之间的两个光子的KSVZ耦合处设置了限制。目前的升级将允许ADMX检测轴子，即使是在这个质量范围内最悲观的耦合。为了扩大检测器的质量范围，正在进行微波腔技术、可调谐微波SQUID放大器和压电驱动器的广泛研究和开发。ADMX预计将在不久的将来探索十多年的DFSZ耦合灵敏度允许质量范围。讨论了实验的现状、当前的研究和开发以及预计的结果。由美国能源部拨款DE-SC 00098000、美国能源部拨款DE-SC 0011665、DE-AC 52 - 07 NA 27344、DE-AC 03 - 76 SF 00098、海辛-西蒙斯基金会、劳伦斯利弗莫尔国家实验室、费米实验室和太平洋西北国家实验室LDRD计划支持。SQUID的开发得到了DOE资助DE-AC 02 - 05 CH 11231的支持。
英文摘要：
Nearly all astrophysical and cosmological data point convincingly to a large component of cold dark matter (CDM) in the Universe. The axion particle, first theorized as a solution to the strong charge-parity problem of quantum chromodynamics, has been established as a prominent CDM candidate. Cosmic observation and particle physics experiments have bracketed the unknown mass of CDM axions between approximately μeV and meV. The Axion Dark Matter eXperim8ent (ADMX) is a direct-detection CDM axion search which has set limits at the KSVZ coupling of the axion to two photons for axion masses between 1.9 and 3.7 μeV. The current upgrades will allow ADMX to detect axions with even the most pessimistic couplings in this mass range. In order to expand the mass reach of the detector, extensive research and development of microwave cavity technologies, tunable microwave SQUID amplifiers, and piezoelectric drives is being conducted. ADMX is projected to explore more than one decade of the allowable mass range with DFSZ coupling sensitivity in the near future. Status of the experiment, current research and development, and projected results are discussed. Supported by DOE Grants DOE grant DE-SC00098000, DOE grant DE-SC0011665, DE-AC52-07NA27344, DE-AC03-76SF00098, the Heising-Simons Foundation, and the Lawrence Livermore National Laboratory, Fermilab and Pacific Northwest National Laboratory LDRD programs. SQUID development was supported by DOE grant DE-AC02-05CH11231.
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。
