ANALYSIS OF COMBINED MILLIMETER-WAVE AND FOURIER TRANSFORM INFRARED SPECTRA OF DN3: EXTENSION OF THE ANALYSIS TO EIGHT NEW VIBRATIONAL STATES
Bibliographic record
Abstract
We present a combined millimeter-wave and high-resolution infrared (FTIR) analysis of the the spectra of DN 3 .We have observed the infrared spectrum of DN 3 at a resolution of 0.0009 cm -1 using the synchrotron at the Canadian Light Source between 30 and 5000 cm -1 at several pressures between 1 and 100 mTorr.We have also measured the millimeterwave spectrum of DN 3 at Wisconsin and at Prague, covering a frequency range from 130 to 730 GHz.Using classical linear least-squares fitting and combination differences, we have assigned the spectra for the ground state and 15 lowestenergy vibrationally excited states (including 8 not previously studied).The latter include the four combination states of either ν 3 or ν 4 with either ν 5 or ν 6 and the tetrad of states involving three quanta of ν 5 and ν 6 .In fact, all sixteen of these vibrational states are a complex polyad coupled by Coriolis, Darling-Dennison, and Fermi interactions that strongly perturb the observed transition frequencies.We are working toward combining all of this spectral data to achieve a global sixteen-state fit using SPFIT.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".