Quantitative real-time imaging of high-temperature superconductors

This project will develop a robust technique for the quantitative real-time imaging of high-temperature superconductors. The image-analysis algorithm so obtained will be a virtual software lens, which is able to decode the information contained in data obtained by a well-established but hitherto qualitative imaging technique. We will transform this technique into one uniquely capable of obtaining two-dimensional movies of the current distributions, magnetic fields, and pinning defects in superconducting films. Such a quantitative characterization of these key superconductor parameters will be an important tool in the present global quest for room-temperature superconductivity.