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Record W2081233236 · doi:10.1139/p99-056

VUV lasing on puff metal vapor of neon-like aluminum ions produced by Z-pinch plasma

2000· article· en· W2081233236 on OpenAlexvenueno aff
B. Rahmani, S Y Liu, Koichi Yasuoka, H.A. Belbachir, Shigeyuki Ishii

Bibliographic record

VenueCanadian Journal of Physics · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsAtomic physicsLasing thresholdPopulation inversionNeonIonizationExcited stateIonPlasmaPopulationRadiation trappingRadiative transferLaserArgonOptics

Abstract

fetched live from OpenAlex

A collisional-radiative equilibrium model was developed to investigate the population inversion on metal vaporaluminum plasma. The population inversion has been establishedbetween lower3s( 3 P 1 °, 1 P 1 °) and upper 3p( 3 P 0 , 1 S ° ) levels. The vacuumultra-violet lasing on neon-like aluminum ions provideswavelengths of 111.9, 143.2, and 157.3 nm. The rate of relativedensity population, between lower 3s 1 P 1 ° and upper 3p 3 P 0 levels, reaches its highest valueof 7.16 at the electron density of 10 19 cm -3 . Themodified expression of the optical escape factor, in the case of the Doppler profile, was introduced in the calculation of the opacityeffect on the gain magnitudes. The Holstein expressionunderestimates the optical escape factor in the region ofrelatively small thickness. The resonance radiation trapping by the 3dconfiguration drastically alters the gain values. A gain greater than 1 cm -1 was found between lasing levels 3s 3 P 1 ° and3p 3 P 0 . The enhancement of gain was due to the pumping of heupper level by a dielectronic recombination process from the groundstate of fluorine-like and by the inner-shell ionization processfrom excited levels of sodium-like ions.PACS No.: 52.00

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.807

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 head0.008
GPT teacher head0.206
Teacher spread0.199 · 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

Citations4
Published2000
Admission routes1
Has abstractyes

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