研究目的
To develop an efficient and fast Biot–Savart inversion scheme using SSA filtering and Fourier inversion to improve the resolution and quality of current density maps in HTS samples with low-cost Hall scanning systems.
研究成果
The SSA filtering and Fourier inversion scheme significantly improves the resolution and accuracy of current density maps in HTS samples, reducing computational cost and time. It effectively handles noise and drifts in Hall probe measurements, providing reliable results validated through simulations and real samples. The method is suitable for quality control in HTS applications but is constrained by sample thickness and measurement accuracy.
研究不足
The method assumes planar crystallization and homogeneity along the vertical axis for thin samples; for thick samples, it yields a depth-averaged current density. Resolution is limited by measurement errors and the exponential growth of the condition number with grid fineness. Three-dimensional current mapping is not achievable.
1:Experimental Design and Method Selection:
The study uses a Biot–Savart inversion scheme with SSA filtering for noise reduction and Fourier inversion for computational efficiency. The method involves linearization of the Biot–Savart law, discretization of the sample and measurement grids, and application of SSA and FFT algorithms.
2:Sample Selection and Data Sources:
Simulations of bulk HTS samples with inhomogeneous current distributions and real HTS tape stacks (e.g., SuperPower Inc. SF12050 tapes) are used. Magnetic field data are obtained from Hall probe measurements.
3:List of Experimental Equipment and Materials:
Hall probe (CYSJ106C with active area 300 μm x 300 μm), XYZ Cartesian displacer with stepper motors, Keithley 224 current source, INA111 amplifier, liquid nitrogen bath, NdFeB magnets for field cooling, and MATLAB/Octave software for computation.
4:Experimental Procedures and Operational Workflow:
Hall probe scans are performed on XY grids at fixed heights above samples. Data are degraded with simulated noise and drift, then SSA filtered. Fourier inversion is applied to compute current density maps, followed by validation through error analysis and recomputation of magnetic fields.
5:Data Analysis Methods:
Statistical error analysis using random perturbations to estimate error propagation, comparison of computed and original currents, and validation through Biot–Savart law recomputation.
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