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Record W2079890440 · doi:10.1103/physrevb.72.075129

Resonantly excited cascade x-ray emission from La

2005· article· en· W2079890440 on OpenAlexaff
A. Moewes, Regan G. Wilks, А.Г. Кочур, E.Z. Kurmaev

Bibliographic record

VenuePhysical Review B · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPhotoexcitationPhysicsExcited stateAtomic physicsCascadeAtom (system on chip)Intensity (physics)ExcitationPhotonAbsorption (acoustics)Vacancy defectResonance (particle physics)OpticsNuclear magnetic resonanceQuantum mechanics

Abstract

fetched live from OpenAlex

We are monitoring the intensity of the La $5p\text{\ensuremath{-}}4d$ emission for La metal while scanning across the deeper lying $3d\text{\ensuremath{-}}4f$ photoexcitation resonances of the same atom. A strong resonant enhancement in the integral intensity of the La $5p\text{\ensuremath{-}}4d$ fluorescence emission is observed, which is due to cascading decay of the resonantly excited $3{d}^{9}4{f}^{+1}$ configuration. The corresponding emission spectrum features a complex satellite structure reflecting the multitude of transitions taking place in a variety of multi-vacancy configurations created by the cascade. We calculate the probability of $5p\ensuremath{\rightarrow}4d$ emission produced by the cascading decay and then take into account self-absorption of the emitted photons. This model provides good agreement with the experimental results. The number of $4d$ vacancies increases immensely due to electronic cascades. We also observe an enhanced integral intensity in the $5p\text{\ensuremath{-}}4d$ fluorescence compared to our calculations, which we attribute to intra-atomic resonance processes.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score1.000

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)0.0010.001

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 head0.009
GPT teacher head0.305
Teacher spread0.296 · 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 designNot applicable
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

Citations6
Published2005
Admission routes1
Has abstractyes

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