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Record W3042660012 · doi:10.1103/physreva.102.053110

Control of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mrow><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow><mml:mo>+</mml:mo></mml:msup></mml:math> air lasing

2020· article· lv· W3042660012 on OpenAlexaff
Mathew Britton, Marianna Lytova, Dong Hyuk Ko, Abdulaziz Alqasem, Peng Peng, D. M. Villeneuve, Chunmei Zhang, Ladan Arissian, P. B. Corkum

Bibliographic record

VenuePhysical review. A/Physical review, A · 2020
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicLaser-Matter Interactions and Applications
Canadian institutionsNational Research Council CanadaUniversity of Ottawa
FundersArmy Research Office
KeywordsPhysicsCoupling (piping)PopulationIonizationGround stateAtomic physicsCrystallographyIonQuantum mechanicsChemistryMaterials science

Abstract

fetched live from OpenAlex

A near-infrared laser generates gain on transitions between the $B^{2}\mathrm{\ensuremath{\Sigma}}_{\text{u}}^{+}$ and $X^{2}\mathrm{\ensuremath{\Sigma}}_{\text{g}}^{+}$ states of the nitrogen molecular cation in part by coupling the $X^{2}\mathrm{\ensuremath{\Sigma}}_{\text{g}}^{+}$ and $A^{2}\mathrm{\ensuremath{\Pi}}_{\text{u}}$ states in the $V$ system. Traditional time resolved pump-probe measurements rely on postionization coupling by the pump pulse to initialize dynamics in the $A^{2}\mathrm{\ensuremath{\Pi}}_{\text{u}}$ state. Here we show that a weak second excitation pulse reduces ambiguity because it acts only on the ion independent of ionization. The additional control pulse can increase gain by moving population to the $A^{2}\mathrm{\ensuremath{\Pi}}_{\text{u}}$ state, which modifies the lasing emission in two distinct ways. The presence of fast decoherence on $X^{2}\mathrm{\ensuremath{\Sigma}}_{\text{g}}^{+}$ to $A^{2}\mathrm{\ensuremath{\Pi}}_{\text{u}}$ transitions may prevent the formation of a coherent rotational wave packet in the ground state in our experiment, but the control pulse can reverse impulsive alignment by the pump pulse to remove rotational wave packets in the $B^{2}\mathrm{\ensuremath{\Sigma}}_{\text{u}}^{+}$ state.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.006

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 head0.017
GPT teacher head0.276
Teacher spread0.259 · 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 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

Citations10
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuePhysical review. A/Physical review, ASame topicLaser-Matter Interactions and ApplicationsFrench-language works237,207