CLSI BMIT’s Super-Conducting Wiggler Cryogenic Safety Improvements*
Bibliographic record
Abstract
4.1 T superconducting (SC) wiggler on CLS Biomedical Imaging and Therapy (BMIT) beamline [1-4] developed a critical problem in the cryogenic safety relief and refill paths. Ice blockage formed and prevented helium gas from relieving during liquid helium (LHe) refill. This resulted in an internal pressure built up, which caused expelling of the LHe and cold gas helium (GHe) from the wiggler cryostat. Several improvements were performed over the years including replacement of the original rupture disk, the pressure relief valves and installation of metal O-ring seals at external ports. Following these improvements, a major upgrade on the wiggler safety relief path was implemented by adding a new vent pipe directly connected to the cryostat for safety exhaust. The LHe refill path was also modified to eliminate possibility of ice blockage. During initial tests after the up-grades, we experienced significant heat load increase which was linked to the thermal acoustic oscillations in the LHe transfer line. The problem was resolved by improving the insulation vacuum in the transfer line and adding a super insulation assembly into the direct vent pipe along with a plug at the refill path.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".