White-Light Fringe Restoration and High-Precision Central Fringe Tracking Using Frequency Filters and Fourier-Transform Pair
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Images obtained with a white-light interferometer (WLI) using a charge-coupled device (CCD) camera may be degraded for various reasons, greatly affecting the WLI central fringe tracking accuracy. The work reported in this paper uses frequency filters and forward/inverse Fourier transform to investigate the WLI fringe distribution in the frequency domain. Different rectangular filter combinations are studied to remove background noises and, at the same time, enhance the fringe visibility. Detailed experiments confirm the theoretical analysis and show that this technique could extract high-quality WLI fringe patterns from the background even with complex noise distribution. Temperature measurement results demonstrate that this approach could quickly track the central fringe shifts with high-precision.
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.
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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it