Double-Illumination All-Optical Nanoalignment for Stacking X-Ray Fresnel Zone Plates
Bibliographic record
Abstract
Fresnel zone plate (FZP) stacking is an approach to enhance diffraction efficiency in x-ray focusing and imaging by physically aligning 2 or more FZPs to increase the effective thickness and optical efficiency. Existing methods face limitations in x-ray-source availability, controlled degrees of freedom, alignment accuracy, and contact-induced friction. To overcome these limitations, we develop a double-illumination all-optical nanoalignment (DIANA) system. Designed to leverage the x-ray FZP chip’s nanopatterned characteristics, DIANA uses coherent illumination in reflection mode to implement laser interferometry for accurate tilt and yaw adjustment. It also employs incoherent illumination in transmission mode for high-contrast nanoalignment using Vernier/main scales and moiré fringes. Using DIANA, we demonstrate the stacking of 2 x-ray FZPs with under 30-nm alignment accuracy.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".