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Smoothing method to directly denoise terahertz signals in rare‐earth orthoferrite antiferromagnets
Author(s) -
Zeng Xinxi,
Liang Yuhe,
Zhang Han,
Xi Xiaoqing,
Cao Jianguo,
Li Bo,
Zhou Ji
Publication year - 2021
Publication title -
journal of the american ceramic society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.9
H-Index - 196
eISSN - 1551-2916
pISSN - 0002-7820
DOI - 10.1111/jace.17712
Subject(s) - smoothing , orthoferrite , terahertz radiation , noise (video) , materials science , computer science , robustness (evolution) , algorithm , mathematics , physics , optoelectronics , artificial intelligence , magnetic field , chemistry , magnetization , computer vision , quantum mechanics , biochemistry , image (mathematics) , gene
Rare‐earth orthoferrites with weak ferromagnetism have become one of the most fascinating topics in antiferromagnet research because of their potential application in future information technologies. However, an appropriate and direct way to reduce the noise in the intrinsic but weak resonances of rare‐earth orthoferrites is currently lacking, creating difficulties in analysis. Here, we report a numerical smoothing method to directly denoise the detected terahertz (THz) responses of orthoferrites using a B ‐spline algorithm. For comparison, the Savitzky–Golay smoothing method, which is a typical and widely used numerical smoothing method, was also used to process the data. The thickness‐dependent signals of DyFeO 3 were processed by the above methods. LaFeO 3 , HoFeO 3 , and DyFeO 3 were chosen and prepared, and their thermally tunable signals were processed. The B ‐spline signal smoothing algorithm was shown to have stability and robustness to noise and was more effective than the Savitzky–Golay smoothing method at reducing noise. This work on smoothing thickness‐ and temperature‐dependent THz signals may help provide a promising approach to reduce noise in the intrinsic but weak resonances of rare‐earth orthoferrites.