3D Magnetic Field Vector Measurement by Magneto-Optical Imaging

Sakaguchi, Hotaka; Oya, Riku; Wada, Shu; Matsumura, T.; Saito, Hitoshi; Ishibashi, Takayuki

doi:10.3379/msjmag.2203r002

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Recently, a polarization camera was presented that integrates an image sensor with a micropolarizer array, which allows for direct measurements of the angles of polarization rotation and which is, thus, insensitive to changes in the light intensity [43].…”

Section: Two-dimensional Calibration Using Digital Camerasmentioning

confidence: 99%

“…As mentioned above, in that case, the in-plane field component can be neglected, and the normal component can be directly derived from the measured light intensity. Note that even in cases where the in-plane component is negligible for the MOIF measurements, the full magnetic field vector can be calculated from the normal magnetization component using a transfer function in Fourier space [43].…”

Section: Effect Of In-plane Field Component In-plane Domains and Sens...mentioning

confidence: 99%

“…Both approaches described above (applying a bias in-plane field [15] or the forward simulation approach using a transfer function [14,43]), although complicated, now allow one to perform traceably calibrated measurements of spatially inhomogeneous fields using MOIF sensors. These traceable measurements can be validated by comparing with another traceable spatially resolved technique.…”

Section: Effect Of In-plane Field Component In-plane Domains and Sens...mentioning

confidence: 99%

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Magneto-Optical Indicator Films: Fabrication, Principles of Operation, Calibration, and Applications

Dorosinskiy

Sievers

2023

Sensors

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Magneto-optical indicator films (MOIFs) are a very useful tool for direct studies of the spatial distribution of magnetic fields and the magnetization processes in magnetic materials and industrial devices such as magnetic sensors, microelectronic components, micro-electromechanical systems (MEMS), and others. The ease of application and the possibility for direct quantitative measurements in combination with a straightforward calibration approach make them an indispensable tool for a wide spectrum of magnetic measurements. The basic sensor parameters of MOIFs, such as a high spatial resolution down to below 1 μm combined with a large spatial imaging range of up to several cm and a wide dynamic range from 10 μT to over 100 mT, also foster their application in various areas of scientific research and industry. The history of MOIF development totals approximately 30 years, and only recently have the underlying physics been completely described and detailed calibration approaches been developed. The present review first summarizes the history of MOIF development and applications and then presents the recent advances in MOIF measurement techniques, including the theoretical developments and traceable calibration methods. The latter make MOIFs a quantitative tool capable of measuring the complete vectorial value of a stray field. Furthermore, various scientific and industrial application areas of MOIFs are described in detail.

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Section: Two-dimensional Calibration Using Digital Camerasmentioning

confidence: 99%

Section: Effect Of In-plane Field Component In-plane Domains and Sens...mentioning

confidence: 99%

Section: Effect Of In-plane Field Component In-plane Domains and Sens...mentioning

confidence: 99%

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Magneto-Optical Indicator Films: Fabrication, Principles of Operation, Calibration, and Applications

Dorosinskiy

Sievers

2023

Sensors

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Quantitative magnetooptical analysis using indicator films for the detection of magnetic field distributions, temperature, and electrical currents

Path,

McCord

2024

Sci Rep

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The accurate characterization of local magnetic fields and temperature is vital for the design of electronic systems. To meet this imperative, we present a novel non-contact approach for simultaneous quantitative magnetic field imaging and temperature sensing using magnetooptics and a bismuth-doped yttrium iron garnet film with out-of-plane anisotropy. For the direct signal quantification, a Stokes polarization camera is employed in a conventional magnetooptical microscope. The magnetization in the garnet is modulated with an external magnetic field to continuously image the Faraday rotation at four distinct points along the saturating magnetization loop. The method enables sensing of the magnetooptical signal in saturation, the magnetooptical susceptibility, the temperature, and self-calibrated driftfree imaging of the out-of-plane magnetic field component. A spatial resolution of magnetic field in the micrometer range with millisecond exposure time is demonstrated. The method is verified by analyzing the stray magnetic field distribution of electrical current in a wire simultaneously to the Joule heating induced by the applied current.

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Magneto-optical diffractive deep neural network

Fujita¹,

Sakaguchi²,

Zhang³

et al. 2022

Opt. Express

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We propose a magneto-optical diffractive deep neural network (MO-D2NN). We simulated several MO-D2NNs, each of which consists of five hidden layers made of a magnetic material that contains 100 × 100 magnetic domains with a domain width of 1 µm and an interlayer distance of 0.7 mm. The networks demonstrate a classification accuracy of > 90% for the MNIST dataset when light intensity is used as the classification measure. Moreover, an accuracy of > 80% is obtained even for a small Faraday rotation angle of π/100 rad when the angle of polarization is used as the classification measure. The MO-D2NN allows the hidden layers to be rewritten, which is not possible with previous implementations of D2NNs.

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3D Magnetic Field Vector Measurement by Magneto-Optical Imaging

Cited by 4 publications

References 22 publications

Magneto-Optical Indicator Films: Fabrication, Principles of Operation, Calibration, and Applications

Magneto-Optical Indicator Films: Fabrication, Principles of Operation, Calibration, and Applications

Quantitative magnetooptical analysis using indicator films for the detection of magnetic field distributions, temperature, and electrical currents

Magneto-optical diffractive deep neural network

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