Publication | Open Access
Power Spectrum Analysis and Missing Level Statistics of Microwave Graphs with Violated Time Reversal Invariance
84
Citations
41
References
2016
Year
EngineeringSpectrum EstimationHigh-dimensional ChaosChaotic Quantum GraphsPower Spectrum AnalysisPower SpectrumElectromagnetic CompatibilityQuantum ComputingMissing Level StatisticsComputational ElectromagneticsTimefrequency AnalysisStatisticsQuantum SciencePhysicsMicrowave GraphsChaos TheoryMicrowave MeasurementInverse ProblemsStochastic ResonanceRadio PropagationSignal ProcessingSpectral AnalysisQuantum ChaosNonlinear ResonanceMicrowave Networks
We present experimental studies of the power spectrum and other fluctuation properties in the spectra of microwave networks simulating chaotic quantum graphs with violated time reversal invariance. On the basis of our data sets, we demonstrate that the power spectrum in combination with other long-range and also short-range spectral fluctuations provides a powerful tool for the identification of the symmetries and the determination of the fraction of missing levels. Such a procedure is indispensable for the evaluation of the fluctuation properties in the spectra of real physical systems like, e.g., nuclei or molecules, where one has to deal with the problem of missing levels.
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