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Record W2056059865 · doi:10.1585/jspf.79.52

Analysis of Resonance Transitions in X-Ray Spectra of Electron Interaction with Highly Charged Iron Ions.

2003· article· en· W2056059865 on OpenAlexaff
Yueming Li, Daiji Kato, Xiao‐Min Tong, Hirofumi Watanabe, Tsutomu Watanabe, Braian O'ROURKE, H. Kuramoto, Nobuyuki Nakamura, F. J. Currell, Chikashi Yamada, Shunsuke Ohtani

Bibliographic record

VenueJournal of Plasma and Fusion Research · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsQueen's University
FundersRoyal Society
KeywordsIonAtomic physicsExcitationSpectral lineResonance (particle physics)Electron beam ion trapResolution (logic)ElectronCharged particlePhysicsCathode rayNuclear physics

Abstract

fetched live from OpenAlex

In electron interactions with highly charged Fe ions, the X-ray spectra were theoretically analysed and compared with the experimental results at the Tokyo EBIT. In the present analysis, cross sections for dielectronic recombination, resonance excitation, resonance recombination, and direct excitation were calculated by use of the distorted wave method. Simulated spectra were obtained by convoluting the calculated cross sections with the experimental beam energy resolution and X-ray detector resolution, which are in close agreement with the experimental observations. Based on our calculations including polarization effects, we estimate the charge state balance: He-like Fe24+ (74%), Li-like Fe23+ (18%), and Be-like Fe22+ (8%), and the ion density in the trap to be 6.5−8.5 × 108 cm-3. The present calculations were also compared with the previous high-resolution measurements of the KLL resonances in He-like Fe ions.

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 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 score0.082
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.304
Teacher spread0.289 · 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

Citations5
Published2003
Admission routes1
Has abstractyes

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