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Record W2774197161 · doi:10.1088/1361-6455/aaa059

Correlated formation of the excited states of recoil and scattered ions in multiple electron capture collision of Ar <sup>8+</sup> with CO <sub>2</sub> and OCS

2017· article· en· W2774197161 on OpenAlexaff
Hiroaki Tezuka, Kota Z. Takahashi, Jun Matsumoto, Reza Karimi, J H Sanderson, H. Shiromaru

Bibliographic record

VenueJournal of Physics B Atomic Molecular and Optical Physics · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRecoilExcited stateIonAtomic physicsElectron captureCollisionElectronPhysicsNuclear physicsComputer science

Abstract

fetched live from OpenAlex

Abstract Multiple ionization events induced by low energy collisions between Ar 8+ projectiles and linear triatomic molecular targets, CO 2 and OCS, were studied in order to shed light on the correlation between the electronic states of the scattered ion and the ionic fragmentation processes. Position-sensitive time-of-flight measurements of all the recoil fragments, triggered by detection of a charge-selected scattered ion, allowed us to distinguish between ionic fragmentation processes in which different numbers of Auger electrons were emitted by the projectile, just after multiple electron capture. A strong correlation is found for triple capture collisions, between fragmentation with high kinetic energy and events when only single Auger electron emission takes place.

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 score0.058
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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