Temporal phase shifting method using acoustic-optic modulated stroboscopic interferometer (AOMSI) for characterization of microstructures
Bibliographic record
Abstract
Temporal phase shifting method, which is commonly used for characterization of the microstructures, requiring phaseshifter has inherent errors due to non-linearity. To overcome this, an Acoustic-Optic Modulated Stroboscopic Interferometer (AOMSI) was developed using the principle of Stroboscopic Interferometer. The technique utilizes the advantage of stroboscopy to create phase shifted images without requiring any component for phase shifting. Using Carré algorithm and developed AOMSI the curvature of microstructures due to residual stress was extracted. Experiments were performed on a silicon wafer to demonstrate the feasibility of the presented technique. Further, experiments were performed on a designed micro cantilever to extract surface-height information using the proposed method. To verify the accuracy of the presented method, the same micro cantilever was characterized using a WYKO surface profiler and the comparison was found to be in good agreement.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".