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【数学之美-杰出学者讲坛】2024年第3期 ||Optimal transport and Monge-Ampere equ...
好莱坞数据专家和制作逻辑的数据重塑
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清华大学材料科学与工程研究院《材料科学论坛》:机器学习辅助合金理性设计
报告题目:
【粒子物理与宇宙学理论报告】Searching for Dark Particles with Light (and Quantum Technologies)
 报告人:
Christina Gao (Fermilab)
报告时间:
2022-03-03 10:00
报告地点:
腾讯会议
主办单位:
物理系
  简介:

Online: 腾讯会议 353-4463-2887   https://meeting.tencent.com/dm/fMUTNMBOTPNe

Abstract: Many puzzles of fundamental physics indicate the existence of new particles that interact feebly with ordinary matter, which makes them appear “dark” to us. Quantum sensors, given their low noise level, are promising devices to look for such new particles that feebly interact with photons. A well-known example is the axion (or axion-like-particle), which arises generically in the extensions of the Standard Model that involve the breaking of new global symmetries. We propose to use two superconducting radio-frequency cavities with resonant frequencies in the GHz range to look for axions. The search strategy is a broadband search using a light-shining-through-wall setup. Superconducting radio-frequency cavities have an exceptionally high quality factor, which both boost the number of photons stored in the emitter cavity, and enhance the signal power in the receiver cavity, and hence are ideal to search for light axion with mass below 10 micro eV.  In the future, other quantum devices, such as thin-film lithium niobate optical cavities can search for axions at optical frequency. 


seminar220303_gao.pdf


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