Optical−Optical Double Resonance Spectroscopy of the C<sup>2</sup>Π−A<sup>2</sup>Π and D<sup>2</sup>Σ<sup>+</sup>−A<sup>2</sup>Π Transitions of SrF
Bibliographic record
Abstract
Optical-optical double resonance spectroscopy has been used to record rotationally resolved spectra of the C(2)Pi-A(2)Pi and D(2)Sigma(+)-A(2)Pi transitions of SrF. In the investigation, the spectrum of a previously unobserved (2)Sigma(+)-A(2)Pi transition was recorded. The new (2)Sigma(+) state was found to lie lower in energy than the previously labeled D(2)Sigma(+) (v = 0) state by an amount equal to the vibrational spacing of the D(2)Sigma(+) state. Therefore, the new (2)Sigma(+) state was assigned as the v = 0 level of the D(2)Sigma(+) state and the previous labeling of the vibrational quantum numbers of the D(2)Sigma(+) state should be increased by 1. Spectroscopic parameters were determined for the C(2)Pi, D(2)Sigma(+) (v = 0), and D(2)Sigma(+) (v = 1) states. The D(2)Sigma(+) (v = 0) state was found to be perturbed, most likely by the spin-orbit components of the C(2)Pi (v =1) state. The spin-orbit constant of the C(2)Pi state was found to decrease significantly relative to the A(2)Pi state, similar to CaF and SrOH. Finally, the C(2)Pi and D(2)Sigma(+) states do not appear to form a unique perturber/pure precession pair of states.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".