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Gao, Jiansong (2008) the physics superconducting microwave resonators. Dissertation (Ph.D.), California Institute for Technology. DOI: 10.7907 / RAT0-VM75. topessaywritingbase.com / Caltechetd: ETD
In the last ten years, low-temperature detectors have brought astronomers revolutionary new observation functions and led to many great discoveries. Although a single low temperature detector has a very impressive sensitivity, a large detector array would be much more powerful and is most demanded to the investigation of harder and basic problems in astronomy. Current detector technologies, such as transition edge sensors and superconducting tunnel transition detectors, are difficult to integrate into a large array.
The microwave kinetic inductance detector (MKID) is a promising new detector technology invented at Caltech and JPL, which offers both a high sensitivity and a simple solution for detector integration. It detects the change in the surface impedance of a superconductor as incoming photons coupled with high Q superconducting microwave resonators with high Q-superconducting microwave resonators with a common feed line. With this architecture, thousands of detectors can easily be integrated by passive frequency range multiplexing.
In this work we explore the rich and interesting physics behind these superconducting microwave resonators. The first part of the work discusses the surface impedance of a superconductor, the kinetic inductance of a superconducting coplanar waveguide and the circuit reader of a resonator. These topics relate to the responsiveness of MKIDs. The second part presents the study of excess frequency noise, which is universally observed in these resonators. The properties of excess noise, including performance, temperature, material and geometry dependence were quantified. The noise source was identified as two-stage systems in the dielectric material on the surface of the resonator. A sememairic noise model was developed to explain the dependence of energy and geometry of noise, which is useful to predict the noise for a specified resonator geometry. However, the detailed physical noise mechanism is still not clear.
With the theoretical results of responsiveness and the half empirical noise model set up in this work, a prediction of the detector sensitivity (noise equivalent performance) and an optimization of the detector design are now possible.
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