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Record W2041320600 · doi:10.1139/p04-045

Multicharged Xe<sup><i>i</i>+</sup> ions formed after de-excitation of inner-shell vacancies in Xe atom

2004· article· en· W2041320600 on OpenAlexvenueno aff
Adel Mohammedien El-Shemi

Bibliographic record

VenueCanadian Journal of Physics · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAtomic physicsIonPhysicsIonizationXenonExcitationAtom (system on chip)Vacancy defectAugerAuger effectNuclear magnetic resonance

Abstract

fetched live from OpenAlex

Multicharged Xe ions following de-excitation of K-, L 1 -, L 2,3 -, M 1 -, M 2,3 -, and M 4,5 -subshell vacancies are calculated using a Monte-Carlo algorithm to simulate the vacancy cascade development. Fluorescence yield (radiative) and Auger and Coster–Kronig yields (nonradiative) are evaluated. The decay of the K hole state through radiative transitions is found to be more probable than through nonradiative transitions in the first step of de-excitation. On the other hand, the decay of L and M vacancies through nonradiative transitions are more probable. Ions, mainly produced from Xe in the K-shell vacancy state, are found to be Xe 7+ , Xe 8+ , Xe 9+ , and Xe 10+ . The charged Xe 8+ ions predominate in the charge state distributions. The main product from the L 1 -shell ionization is found to be Xe 8+ and Xe 9+ ions, while the Xe 8+ ions predominate at the L 2,3 hole states. The charged Xe 6+ , Xe 7+ , and Xe 8+ ions come mainly from 3s 1/2 and 3p 1/2,3/2 ionization, while Xe in 3d 3/2,5/2 hole states becomes mainly Xe 4+ and Xe 5+ ions. The present results are found to agree well with the experimental data.PACS No.: 32.40.Hd

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.226
Teacher spread0.219 · 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 designObservational
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

Citations5
Published2004
Admission routes1
Has abstractyes

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