2018
DOI: 10.1063/1.5012588
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A new approach to the inverse problem for current mapping in thin-film superconductors

Abstract: A novel mathematical approach has been developed to complete the inversion of the Biot-Savart law in one-and two-dimensional cases from measurements of the perpendicular component of the magnetic field using the well-developed Magneto-Optical Imaging technique. Our approach, especially in the 2D case, is provided in great detail to allow a straightforward implementation as opposed to those found in the literature. Our new approach also refines our previous results for the 1D case [Johansen et al., Phys. Rev. B… Show more

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Cited by 7 publications
(3 citation statements)
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“…The perpendicular component of the magnetic field measured at a location x i in the plane of the film is then given by [4,5,24]:…”
Section: Theorymentioning
confidence: 99%
“…The perpendicular component of the magnetic field measured at a location x i in the plane of the film is then given by [4,5,24]:…”
Section: Theorymentioning
confidence: 99%
“…Note that this is known to be an ill-posed problem so that a unique solution does not exist: an arbitrarily large number of current configurations can sum together to produce the same magnetic field. Different techniques have been developed in attempts to constrain and solve such ill-posed inverse problems, including Tikhonov regularization [21], Fourier Filters [17,22], estimation theory [23], probabilistic multi-source reconstructions [22], least square fitting [25,26], Bayesian methods [27], genetic algorithms [28], and direct mapping and fitting in low dimensional systems [29][30][31]. Particularly in the case of failure analysis, previous approaches have tried to sidestep this obstacle by assuming specific geometries and utilizing prior knowledge of the DUT to map 3D current distributions [32][33][34].…”
Section: Figure 5(a)mentioning
confidence: 99%
“…The perpendicular component of the magnetic field measured within the plane of the conductor is then given by [39,40,109]:…”
Section: Identifying the Saturation Currentmentioning
confidence: 99%