A Novel Filter Auto-Mounter for the BioXAS Beamlines at the CLS
Bibliographic record
Abstract
The BioXAS beam-lines are a recently completed group of beam-lines at the Canadian Light Source (CLS). The BioXAS EXAFS beam-lines host three 32-element germanium detectors. There was a need to introduce an exchangeable filter between the soller slits and the 32-element germanium detectors. It was further required to have an automated filter exchange system so that users could quickly vary filter thicknesses and types to determine the effect on the signal. An auto-mounting filter system was created to meet these requirements and allows users to quickly exchange filters without breaking experimental hutch lockup. The auto-mounter cartridge can hold up to ten slides that measure 100mm X 55mm in cross-section. The device inserts slides in an extremely small envelope between the soller slits and the liquid helium cryostat. The auto-mounter assembly also houses the stages required to actuate the soller slits laterally and vertically. During device commissioning we performed 800 consecutive successful filter exchanges as part of a stress test. The spatial constraints, mechanics, and fabrication of the device will be presented. Software development will also be discussed.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.012 |
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".