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Record W2964071399

Bulk-Sensitive X-Ray Absorption Spectroscopy Free of Self-Absorption

2010· article· en· W2964071399 on OpenAlexaboutno aff
Andrew Achkar, Tom Regier, Hiroki Wadati, G. A. Sawatzky, Young‐June Kim, D. G. Hawthorn

Bibliographic record

VenueBulletin of the American Physical Society · 2010
Typearticle
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsX-ray absorption spectroscopyAbsorption (acoustics)SpectroscopyAbsorption spectroscopyExtended X-ray absorption fine structureAbsorption edgeMaterials scienceTwo-photon absorptionAbsorption cross sectionAtomic physicsOpticsAnalytical Chemistry (journal)PhysicsChemistryBand gapCross section (physics)Optoelectronics
DOInot available

Abstract

fetched live from OpenAlex

Department of Physics, University of Toronto, 60 St. George Street, Toronto, Ontario M5S 1A7, Canada(Dated: January 12, 2010)We demonstrate a new method of x-ray absorption spectroscopy (XAS) that is bulk sensitive,like traditional uorescence yield measurements, but is not a ected by self-absorption or saturatione ects. This measure of XAS is achieved by scanning the incident photon energy through anabsorption edge and using an energy sensitive photon detector to measure the partial uorescenceyield (PFY). The x-ray emission from any element or core-hole excitation that is not resonant withthe absorption edge under investigation is selected from the PFY. It is found that the inverse of thisPFY spectrum, which we term inverse partial uorescence yield (IPFY), is linearly proportionalto the x-ray absorption cross-section without any corrections due to saturation or self-absorptione ects. We demonstrate this technique on the Cu L

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 score0.081
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.003
GPT teacher head0.227
Teacher spread0.223 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

Explore more

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