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
Bibliographic record
Abstract
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.008 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".