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Record W2969663082 · doi:10.1080/00268976.2019.1650968

Control of molecular ultracold plasma relaxation dynamics by mm-wave Rydberg–Rydberg transitions

2019· preprint· en· W2969663082 on OpenAlexafffund
Fernanda B. V. Martins, James S. Keller, Edward R. Grant

Bibliographic record

VenueMolecular Physics · 2019
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicCold Atom Physics and Bose-Einstein Condensates
Canadian institutionsUniversity of British Columbia
FundersAir Force Office of Scientific ResearchBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaU.S. Air Force
KeywordsRydberg formulaAtomic physicsRelaxation (psychology)PhysicsPopulationIonizationRydberg stateRydberg atomField desorptionIonPrincipal quantum numberPlasmaRydberg matterQuantumQuantum mechanics

Abstract

fetched live from OpenAlex

Resonant mm-wave fields drive n0f(2)→(n0±1)g(2) transitions in a state-selected n0f(2) Rydberg gas of NO. This transformation produces a clear signature in the selected field ionisation spectrum and dramatically increases the intensity of corresponding features in the spectrum of the n0f(2) Rydberg series observed in UV–UV double resonant transitions via the A 2Σ+, N′=0 state. Here, n0 refers to the principal quantum number of an f Rydberg state converging to the N+=2 rotational state of NO+X 1Σ+. Enhancement owing to transitions from ℓ=3 (f) to ℓ=4 (g) appears both in the electron signal detected at early time by the field ionisation of Rydberg molecules and, 40μs later, as the late-peak signal of plasma in a state of arrested relaxation. Similar stabilisation and enhanced intensity also occurs for shorter-lived interloping complex resonances, 44p(0)−43d(1) and 43p(0)−42d(1). We conclude from these observations that avalanche alone does not guarantee a plasma state of arrested relaxation. But rather, the formation of an arrested phase requires both avalanche-produced NO+ ions and a persistent population of long-lived Rydberg molecules.

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 categoriesMeta-epidemiology (narrow)
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 score0.441
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.204
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.

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

Citations1
Published2019
Admission routes2
Has abstractyes

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