2021
DOI: 10.1088/1361-6463/ac0d2a
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Insertion layer magnetism detection and analysis using transverse magneto-optical Kerr effect (T-MOKE) ellipsometry

Abstract: This experimental study demonstrates that with transverse magneto-optical Kerr effect (T-MOKE) ellipsometry, it is possible to determine the magneto-optical and magnetic properties of insertion layers, even if they are superimposed onto much larger magnetic signals from the surrounding structure. Hereby, it turns out to be especially valuable that with T-MOKE ellipsometry one has full and precise quantitative access to the complex value of the magneto-optical reflection matrix component β, because small magnet… Show more

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Cited by 9 publications
(8 citation statements)
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“…Fundamentally, the βiω values can be defined for each iω contribution as βiω = β • m iω , with m iω being the normalized magnetization reversal contribution at frequency iω. This relation in between the magneto-optical frequency components and the magnetization dynamics is valid due to the fact that the m vs. time t evolution exhibits time-reversal symmetry under sufficiently large field excitation [17]. Figure 4(b) displays the measurement extracted | βiω | values for ∆I/I and A iω /I, as data points, which were obtained from the least-squares fits represented in figures 3(f)-(j), and which show the expected substantial decrease for higher frequencies.…”
Section: Signal-to-noise Performance Of Different Fourier Componentsmentioning
confidence: 86%
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“…Fundamentally, the βiω values can be defined for each iω contribution as βiω = β • m iω , with m iω being the normalized magnetization reversal contribution at frequency iω. This relation in between the magneto-optical frequency components and the magnetization dynamics is valid due to the fact that the m vs. time t evolution exhibits time-reversal symmetry under sufficiently large field excitation [17]. Figure 4(b) displays the measurement extracted | βiω | values for ∆I/I and A iω /I, as data points, which were obtained from the least-squares fits represented in figures 3(f)-(j), and which show the expected substantial decrease for higher frequencies.…”
Section: Signal-to-noise Performance Of Different Fourier Componentsmentioning
confidence: 86%
“…So, to understand the noise level and signal-to-noise performance of our T-MOKE ellipsometry measurements, it is meaningful to analyze the noise performance of the individually contributing frequency components. Moreover, for multilayer systems, different Fourier components do not necessarily provide the exact same information but can actually be utilized to distinguish layers [17]. Thus, there is an added value in investigating the Fourier component performance in addition to understanding the compounded performance of ∆I only.…”
Section: Signal-to-noise Performance Of Different Fourier Componentsmentioning
confidence: 99%
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