An auto-locked diode laser system for precision metrology
Bibliographic record
Abstract
We describe a diode laser system for precision metrology that relies on adaptations of a well-known design based on optical feedback from an interference filter. The laser head operates with an interchangeable base-plate, which allows for single-mode performance at distinct wavelengths of 633 nm and 780 nm. Frequency drifts are effectively suppressed by using a vacuum-sealed laser head, thereby allowing the laser frequency to be stabilized on time-scales of several hours. Using a digital auto-lock controller, we show that the laser frequency can be stabilized with respect to selected iodine and rubidium spectral lines. The controller can be programmed to use a pattern-matching algorithm or generate first- and third-derivative error signals for peak locking. Beat note characterization has demonstrated a short-term linewidth of ~2 MHz and an Allan deviation of 3.5 × 10-9 for a measurement time τ = 500 s. The laser characteristics have also enabled high-precision gravity measurements with accuracies of a few parts-per-billion (ppb).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".