Design and Performance of the Infrared Beam Ports at the Canadian Light Source.
Bibliographic record
Abstract
Two types of beamlines covering the Mid- and Far-Infrared are planned [1]. One will supply light to commercial Fourier Transform Infrared (FTIR) spectrometers and microscopes for biological and industrial applications. The second will use a vacuum FTIR spectrometer and user-specific experimental attachments. The Mid-Infrared beamlines cover 2 to 25 micron wavelengths while the Far-Infrared beamline provides wavelengths beyond 25 micron. Flux and brilliance (brightness) curves for the Infrared beam lines are reported. The calculations are made to provide working values for the design, construction, and evaluation of the beamlines. Tailoring the bending magnet port size to the wavelength region of interest improves the expected performance for the Mid- and Far-Infrared. Obtaining aperture dimensions aids design of the dipole vacuum chamber and in-vacuum mirror mounts. A comparison to several Infrared beamlines in operation and to a standard thermal source is made to gauge performance. Dipole bending magnet radiation is the basis for comparison. Values obtained using standard bend radiation formulas are compared with values obtained using SRW, Synchrotron Radiation Workshop [2]. Port geometry for attaining this performance and requirements for the first optical
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".