INVESTIGATION OF THE ZEEMAN EFFECT IN THE e 6Π−a 6∆ SYSTEM OF FeH: APPLICATION TO STELLAR SPECTROSCOPY
Bibliographic record
Abstract
We investigate the Zeeman effect in the e 6 Πa 6 ∆ system of FeH.The molecule has been produced by reaction of Fe(CO) 5 with H atoms, and examined by laser excitation with selective detection and by Fourier transform resolved fluorescence.The field-free spectrum of the e 6 Πa 6 ∆ system was extensively studied by the J.M. Brown group and collaborators in the 1990's a .Their analysis located the low-lying excited a 6 ∆ state 1890 cm -1 above the X 4 ∆ electronic ground state.One of the infrared systems of FeH already recognised b in the spectra of cool stars around 1.6 µm, E 4 Π -A 4 Π, originates in an excited state lying only 920 cm -1 lower in energy in energy than a 6 ∆, so it seemed not unreasonable to expect signatures from the known sextet systems e-a and g -a to appear in the spectra of cool stars as well.We found that the e -a system can indeed be used as a diagnostic for FeH.Cross-correlation functions between a mask of laboratorymeasured e -a transitions and spectra from four M-dwarf stars taken on spectropolarimetric instruments ESPaDOnS (on Maunakea) and Narval (in the French Pyrenees), show that reliable radial-velocity information can be extracted for these objects.Our new Zeeman measurements are intended to improve reference data for cross-correlation calculations for M-type stars, whose magnetic fields are typically 0 -5000 Gauss.
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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".