Efficiency Improvement of Spin-Resolved ARPES Experiments Using Gaussian Process Regression | Sciact - CRIS-system of Boreskov Institute of Catalysis

Efficiency Improvement of Spin-Resolved ARPES Experiments Using Gaussian Process Regression Full article

Journal

Scientific Reports
, E-ISSN: 2045-2322

Output data

Year: 2024, Volume: 14, Number: 1, Article number : 20970, Pages count : 10 DOI: 10.1038/s41598-024-66704-8

Tags

angle resolved photoemission spectroscopy; article; controlled study; human cell; polarization; drug therapy

Authors

Iwasawa Hideaki ^1,2,3 , Ueno Tetsuro ^1,4 , Iwata Takuma ^5,6 , Kuroda Kenta ^5,6,11 , Kokh Konstantin A ^7,8 , Tereshchenko Oleg E ^8,9,10 , Miyamoto Koji ³ , Kimura Akio ^5,6,11 , Okuda Taichi ^3,6,11

Affiliations

1	Synchrotron Radiation Research Center, National Institutes for Quantum Science and Technology, Sayo 679-5148, Japan
2	NanoTerasu Center, National Institutes for Quantum Science and Technology, Sendai 980-8579, Japan
3	Research Institute for Synchrotron Radiation Science, Hiroshima University, Higashi-Hiroshima 739-0046, Japan
4	Quantum Materials and Applications Research Center, National Institutes for Quantum Science and Technology, Takasaki 980-8579, Japan
5	Graduate School of Advanced Science and Engineering, Hiroshima University, Higashi‑Hiroshima 739‑8526, Japan
6	International Institute for Sustainability with Knotted Chiral Meta Matter (WPI‑SKCM2), Hiroshima University, Higashi‑Hiroshima 739‑8526, Japan
7	V.S. Sobolev Institute of Geology and Mineralogy, Siberian Branch, Russian Academy of Sciences, Novosibirsk 630090, Russia
8	Saint Petersburg State University, Saint Petersburg 198504, Russia
9	Rzhanov Institute of Semiconductor Physics, Siberian Branch, Russian Academy of Sciences, Novosibirsk 630090, Russia
10	Synchrotron Radiation Facility SKIF, Boreskov Institute of Catalysis, Siberian Branch, Russian Academy of Sciences, Kol’tsovo 630559, Russia
11	Research Institute for Semiconductor Engineering (RISE), Hiroshima University, Higashi‑Hiroshima 739‑8527, Japan

Funding (14)

1	Hiroshima University	23AU001
2	Japan Science and Technology Agency	PRESTO JPMJPR23J1
3	Japan Science and Technology Agency	JPJ004596
4	Japan Society for the Promotion of Science	19K03749
5	Japan Society for the Promotion of Science	23K17671
6	Japan Society for the Promotion of Science	22H01943
7	Japan Society for the Promotion of Science	21H04652
8	Japan Society for the Promotion of Science	16H02114
9	Japan Society for the Promotion of Science	20H00347
10	Japan Society for the Promotion of Science	120209941
11	Japan Society for the Promotion of Science	120239943
12	Russian Science Foundation	22-12-20024 (122063000001-1)
13	Ministry of Science and Higher Education of the Russian Federation	FWZN-2022-0029 (122041400031-2)
14	Ministry of Science and Higher Education of the Russian Federation	FWUR-2024-0042

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 Bi2Te3, which has well‑understood spin‑polarized electronic states. We employ Gaussian process regression (GPR) to assess the accumulation of spin polarization information using an indicator known as the GPR score. Our analyses based on the GPR model suggest that the GPR score 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.

Iwasawa H. , Ueno T. , Iwata T. , Kuroda K. , Kokh K.A. , Tereshchenko O.E. , Miyamoto K. , Kimura A. , Okuda T.
Efficiency Improvement of Spin-Resolved ARPES Experiments Using Gaussian Process Regression
Scientific Reports. 2024. V.14. N1. 20970 :1-10. DOI: 10.1038/s41598-024-66704-8 WOS Scopus OpenAlex publication_identifier_short.sciact_skif_identifier_type

Submitted:	Mar 21, 2024
Accepted:	Jul 3, 2024
Published online:	Sep 23, 2024
Published print:	Dec 1, 2024

Web of science:	WOS:001320845900007
Scopus:	2-s2.0-85204917883
OpenAlex:	W4402748859
publication_identifier.sciact_skif_identifier_type:	3563

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