Photoelectron Spin-Polarization Control in the Topological Insulator <span class="aps-inline-formula"><math display="inline"><mrow><msub><mrow><mi>Bi</mi></mrow><mrow><mn>2</mn></mrow></msub><msub><mrow><mi>Se</mi></mrow><mrow><mn>3</mn></mrow></msub></mrow></math></span>
Bibliographic record
Abstract
We study the manipulation of the spin polarization of photoemitted electrons in Bi2Se3 by spin- and angle-resolved photoemission spectroscopy. General rules are established that enable controlling the photoelectron spin-polarization. We demonstrate the ± 100% reversal of a single component of the measured spin-polarization vector upon the rotation of light polarization, as well as full three-dimensional manipulation by varying experimental configuration and photon energy. While a material-specific density-functional theory analysis is needed for the quantitative description, a minimal yet fully generalized two-atomic-layer model qualitatively accounts for the spin response based on the interplay of optical selection rules, photoelectron interference, and topological surface-state complex structure. It follows that photoelectron spin-polarization control is generically achievable in systems with a layer-dependent, entangled spin-orbital texture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.043 | 0.019 |
| Meta-epidemiology (narrow) | 0.054 | 0.056 |
| Meta-epidemiology (broad) | 0.055 | 0.038 |
| Bibliometrics | 0.019 | 0.041 |
| Science and technology studies | 0.025 | 0.029 |
| Scholarly communication | 0.023 | 0.026 |
| Open science | 0.055 | 0.027 |
| Research integrity | 0.026 | 0.038 |
| Insufficient payload (model declined to judge) | 0.042 | 0.028 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".