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Record W2010140338 · doi:10.1103/physreva.61.052710

Quantum-mechanical description of ionization, capture, and excitation in proton collisions with atomic oxygen

2000· article· en· W2010140338 on OpenAlex
Tom Kirchner, H. J. Lüdde, Marko Horbatsch, R. M. Dreizler

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePhysical Review A · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsYork University
Fundersnot available
KeywordsPhysicsIonizationAtomic physicsExcitationProtonAtomic orbitalElectronCross section (physics)Electron ionizationIonNuclear physicsQuantum mechanics

Abstract

fetched live from OpenAlex

The basis generator method is used to propagate effective single-particle equations for ion-atom collisions to provide a mean-field description for the proton-oxygen collision system. The pure capture and ionization as well as transfer ionization cross sections are calculated using two alternative prescriptions to extract the physical information from the propagated orbitals. The sensitivity of the resonant single capture cross section to the effective single-particle potential for atomic oxygen is tested. Cross sections are calculated for 1--2000 keV proton impact and good overall agreement is found with available experiments, while some of the results are at variance with a recent model calculation. The single-particle excitation amplitudes are combined in the LS coupling scheme to obtain excitation cross sections for particular atomic oxygen configurations. The latter are compared with recent measurements for proton and electron impact. Reasonable agreement is found for many one-electron excitations and some two-electron 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.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score0.340

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)0.0000.000

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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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