研究目的
Investigating the influence of magnetic field orientation on laser-induced magnetization precession in Ni-Mn-Sn Heusler alloy film.
研究成果
The comprehensive studies revealed significant changes in laser-induced magnetization precession parameters as a function of the angle and magnitude of the external magnetic field in a Ni-Mn-Sn Heusler alloy film. The observation of additional magnetization precession modes and determination of their parameters were achieved, contributing to the understanding of magnetization dynamics in magnetic materials.
研究不足
The study was limited to a specific Ni-Mn-Sn Heusler alloy film and may not be generalizable to other materials. The observation of additional precession modes was limited to a specific range of magnetic field angles and magnitudes.
1:Experimental Design and Method Selection:
The study utilized a pump-probe all-optical technique to investigate laser-induced magnetization precession in a Ni-Mn-Sn Heusler alloy film. The methodology was based on the Landau-Lifshitz-Gilbert equation for simulating the dependencies of magnetization precession parameters.
2:Sample Selection and Data Sources:
A 100-nm-thick Ni54.3Mn31.9Sn13.8 alloy film prepared by magnetron sputtering method and deposited on MgO(001) substrate was used.
3:3Mn9Sn8 alloy film prepared by magnetron sputtering method and deposited on MgO(001) substrate was used.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Ti:sapphire regenerative optical amplifier laser system generating pump and probe pulses at 800 nm and 400 nm wavelengths, respectively, at 10 kHz repetition rate and fs pulse duration.
4:Experimental Procedures and Operational Workflow:
The external magnetic field of magnitude H up to 6 kOe at different angles from the film normal was applied. Changes of the magnetization vector components were detected in reflection geometry by time delayed probe pulses, as transient Kerr rotation.
5:Data Analysis Methods:
The oscillating components of the transient Kerr rotation signal were analyzed using Fast Fourier Transform (FFT) analysis to identify precession modes.
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