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Related Experiment Video

Updated: Jun 12, 2025

Experimental Methods for Spin- and Angle-Resolved Photoemission Spectroscopy Combined with Polarization-Variable Laser

Experimental Methods for Spin- and Angle-Resolved Photoemission Spectroscopy Combined with Polarization-Variable Laser

Published on: June 28, 2018

Efficiency improvement of spin-resolved ARPES experiments using Gaussian process regression.

Hideaki Iwasawa^1,2,3, Tetsuro Ueno^4,5, Takuma Iwata^6,7

¹Synchrotron Radiation Research Center, National Institutes for Quantum Science and Technology, Sayo, 679-5148, Japan. iwasawa.hideaki@qst.go.jp.

Scientific Reports

|September 23, 2024

Summary

This summary is machine-generated.

Researchers improved spin-resolved ARPES experiments using measurement informatics. Gaussian process regression (GPR) provides a new stopping criterion, reducing experiment time by 5-10 times.

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Area of Science:

Materials Science
Condensed Matter Physics
Quantum Information

Background:

Spin- and angle-resolved photoemission spectroscopy (spin-resolved ARPES) is crucial for characterizing spin-polarized electronic states.
The technique is limited by its inefficiency in spin-detection, leading to time-consuming experiments.
Topological insulators, like Bi2Se3, possess well-defined spin-polarized states ideal for studying ARPES efficiency.

Purpose of the Study:

To enhance the experimental efficiency of spin-resolved ARPES by integrating measurement informatics.
To develop a data-driven stopping criterion for spin-resolved ARPES experiments.
To reduce the significant time costs associated with traditional spin-resolved ARPES.

Main Methods:

Utilizing Gaussian process regression (GPR) to model the accumulation of spin polarization information.
Introducing the GPR score as a quantitative indicator for experimental progress.
Applying the GPR model to a topological insulator (Bi2Se3) to validate the proposed method.

Main Results:

The GPR score effectively quantifies the information gained about spin polarization during an experiment.
The GPR score demonstrates potential as a reliable stopping criterion for spin-resolved ARPES.
Simulations suggest the GPR-based criterion can reduce experimental time by 5-10 times compared to empirical methods.

Conclusions:

Measurement informatics, specifically GPR, offers a pathway to significantly improve spin-resolved ARPES efficiency.
The GPR score provides an objective and efficient method for determining optimal experiment duration.
This approach has the potential to accelerate the discovery and characterization of novel quantum materials.