A novel beam width doubling double crystal monochromator -some preliminary findings
Bibliographic record
Abstract
The maximum useable beam width at the Biomedical Imaging and Therapy (BMIT) beamline at the Canadian Light Source (CLS) is suitable for most imaging applications. But access to a wider beam would benefit many programs especially computed tomography where the beam width defines the largest sample that can be imaged. A double crystal bent Laue monochromator capable of doubling the width of the incident beam is proposed; this is possible by taking advantage of symmetric off-axis, or skew reflections in the crystals. A preliminary experiment to establish proof of concept for this design has been completed using a double crystal unbent Laue system. Results are presented showing the beam width doubling from 28.3mm to 56.6mm and the effect of the skew reflections on the monochromaticity of the exit beam. Further work on this monochromator will include an investigation into the choice of reflections, a study of the effect on the change in energy across the exit beam, the development of strategies to minimize the effect of the beam overlap region downstream from the monochromator and the development of an alignment process for the double crystal bent Laue system.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".