| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2024-09-24 |
| タイトル |
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|
タイトル |
Efficiency improvement of spin-resolved ARPES experiments using Gaussian process regression |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 著者 |
Iwasawa Hideaki
Ueno Tetsuro
Iwata Takuma
Kuroda Kenta
Konstantin A. Kokh
Oleg E. Tereshchenko
Miyamoto Koji
Kimura Akio
Okuda Taichi
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| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
The experimental efficiency has been a central concern for time-consuming experiments. Spin- and angle-resolved photoemission spectroscopy (spin-resolved ARPES) is renowned for its inefficiency in spin-detection, despite its outstanding capability to directly determine the spin-polarized electronic properties of materials. Here, we investigate the potential enhancement of the efficiency of spin-resolved ARPES experiments through the integration of measurement informatics. We focus on a representative topological insulator Bi$_2$Te$_3$, which has well-understood spin-polarized electronic states.
We employ Gaussian process regression (GPR) to assess the accumulation of spin polarization information. Our analyses based on the GPR model suggest that the mean of the standard error of spin polarization can serve as a stopping criterion for spin-resolved ARPES experiments. This criterion enables us to conduct efficient spin-resolved ARPES experiments, significantly reducing the time costs by 5-10 times, compared to empirical stopping criteria. |
| 書誌情報 |
Scientific Reports
巻 14,
p. 20970,
発行日 2024-09
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| 出版者 |
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出版者 |
Springer Nature Limited |
| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2045-2322 |
| DOI |
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識別子タイプ |
DOI |
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関連識別子 |
10.1038/s41598-024-66704-8 |
