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Record W2619827542 · doi:10.1139/cjp-2017-0021

Photoionization of Cl-like Ni XII using relativistic R-matrix close-coupling method

2017· article· en· W2619827542 on OpenAlexvenueno aff
Indu Khatri, Arun Goyal, A.K. Singh, Narendra Singh, Man Mohan

Bibliographic record

VenueCanadian Journal of Physics · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsRydberg formulaPhotoionizationAtomic physicsExcited stateIonGround stateCoupling (piping)R-matrixRelativistic quantum chemistrySeries (stratigraphy)Rydberg stateAutoionizationResonance (particle physics)IonizationQuantum mechanics

Abstract

fetched live from OpenAlex

In this study, photoionization (PI) of nickel ions Ni XII is performed using the relativistic close-coupling Breit–Pauli R-matrix method. The calculation includes 47 lowest target states of Ni XIII, which have been evaluated using a sophisticated configuration interaction technique. Results for the PI of the ground state 3s23p5 (2[Formula: see text]) and first excited state 3s23p5 (2[Formula: see text]) are provided. The PI of this Cl-like ion is characterized by multiple Rydberg series of autoionizing resonances converging to various ionic states of Ni XIII. Our background cross section agrees well with that obtained using the Los Almos National Laboratory PI code. The resonance energy levels and widths of the Rydberg series are presented using the Quigley and Berrington approach. We believe that our results will be useful for astrophysical plasma research.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.298
Teacher spread0.277 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations3
Published2017
Admission routes1
Has abstractyes

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