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Record W3204032529 · doi:10.1103/physrevb.108.045106

Looking beyond the surface with angle-resolved photoemission spectroscopy

2023· article· en· W3204032529 on OpenAlexafffund
Ryan Day, Ilya Elfimov, A. Damascelli

Bibliographic record

VenuePhysical review. B./Physical review. B · 2023
Typearticle
Languageen
FieldMaterials Science
TopicElectronic and Structural Properties of Oxides
Canadian institutionsUniversity of British Columbia
FundersCanada First Research Excellence FundCanada Excellence Research Chairs, Government of CanadaCanada Foundation for InnovationBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaCanadian Institute for Advanced Research
KeywordsInverse photoemission spectroscopyContext (archaeology)Photoemission spectroscopyAngle-resolved photoemission spectroscopySensitivity (control systems)Materials scienceSurface (topology)SpectroscopyInterpretation (philosophy)Electronic structureX-ray photoelectron spectroscopyEnergy (signal processing)Connection (principal bundle)SlabAtomic physicsCondensed matter physicsPhysicsNuclear magnetic resonanceQuantum mechanicsComputer science

Abstract

fetched live from OpenAlex

The issue of surface sensitivity and its relationship with the interpretation of spectral features observed in angle-resolved photoemission spectroscopy experiments is investigated. Rather than attempt to make an explicit connection to bulk electronic structure calculations, we take the approach of exploring this issue within the natural context of a vacuum-terminated crystalline slab. Doing so, we reconcile the empirical reality of reliable ${k}_{z}$ fidelity with acute surface sensitivity of this technique. In addition, we identify several critical issues which impact the estimation of ${k}_{F}$, band velocity, and self-energy from photoemission experiments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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.

Opus teacher head0.016
GPT teacher head0.332
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes2
Has abstractyes

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