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Josephson-based threshold detector for Levy distributed fluctuations

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 Added by Claudio Guarcello
 Publication date 2018
  fields Physics
and research's language is English




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We propose a threshold detector for Levy distributed fluctuations based on a Josephson junction. The Levy noise current added to a linearly ramped bias current results in clear changes in the distribution of switching currents out of the zero-voltage state of the junction. We observe that the analysis of the cumulative distribution function of the switching currents supplies information on both the characteristics shape parameter $alpha$ of the Levy statistics and the intensity of the fluctuations. Moreover, we discuss a theoretical model which allows to extract characteristic features of the Levy fluctuations from a measured distribution of switching currents. In view of this results, this system can effectively find an application as a detector for a Levy signal embedded in a noisy background.



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We propose to characterize Levy-distributed stochastic fluctuations through the measurement of the average voltage drop across a current-biased Josephson junction. We show that the noise induced switching process in the Josephson washboard potential can be exploited to reveal and characterize Levy fluctuations, also if embedded in a thermal noisy background. The measurement of the average voltage drop as a function of the noise intensity allows to infer the value of the stability index that characterizes Levy-distributed fluctuations. An analytical estimate of the average velocity in the case of a Levy-driven escape process from a metastable state well agrees with the numerical calculation of the average voltage drop across the junction. The best performances are reached at small bias currents and low temperatures, emph{i.e.}, when both thermally activated and quantum tunneling switching processes can be neglected. The effects discussed in this work pave the way toward an effective and reliable method to characterize Levy components eventually present in an unknown noisy signal.
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