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Record W1975997377 · doi:10.1088/0953-8984/17/1/019

Polarization effects in the excitation and emission of Fe<sup>3+</sup>in orthoclase and their relevance to the determination of lattice sites of unknown defects

2004· article· en· W1975997377 on OpenAlexafffund
Michael Short

Bibliographic record

VenueJournal of Physics Condensed Matter · 2004
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOrthoclaseExcited stateExcitationIonPolarization (electrochemistry)Atomic physicsDipolePhysicsCrystal field theoryLattice (music)ChemistryMolecular physicsFeldsparMaterials scienceQuartz

Abstract

fetched live from OpenAlex

A method was recently proposed for determining possible lattice sites of an unknown defect from polarization effects in its optical transitions. In this paper the method is tested using the optically excited 1.77 eV (700 nm) fluorescence of Fe(3+) ions which predominantly occupy the T1 sites in orthoclase feldspar. The emission intensity depended on the polarization of the exciting photons and the emission was itself polarized. Two pairs of crystal field symmetry directions were deduced from polarization data for each of the transitions at 1.77, 2.79 and 3.26 eV, and one pair was aligned with symmetry axes in the average geometry of the four anions around the T1 sites. An analysis of EPR data for Fe(3+) ions in feldspar showed that there was a symmetry axis in the crystal field similar to one of those deduced from the polarization data. Group theory calculations were used to determine if the transitions were dipolar-a major assumption of the method. Three symmetries (S(4), C(2v) and C(2)) were found to lead to dipolar transitions consistent with the excitation results, and four (D(2), C(3), C(2) and C(s)) were consistent with a 1.77 eV dipolar emission.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.019
Threshold uncertainty score0.188

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2004
Admission routes2
Has abstractyes

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