The CANREB project for charge state breeding at TRIUMF
Bibliographic record
Abstract
CANREB (CANadian Rare isotope facility with Electron Beam ion source) at TRIUMF will deliver pure, highly charged, radioactive ion beams suitable for acceleration in order to perform experiments to investigate nuclear reactions. Radioactive isotopes at TRIUMF are produced by bombarding solid targets with high energy particle beams. Singly charged ions are extracted from an ion source immediately coupled to the target. CANREB will complement the presently used ECRIS based charge state breeder system by providing higher purity beams and extending the available mass range. Ions are first sent through a high resolution mass separator, where most of the isobaric contaminants can be removed. After this, the ions are injected into an RFQ cooler buncher and finally bunches are injected into an EBIS for charge state breeding. The bunch repetition time is set to 10 ms. This will also allow operation with short lived isotopes. To guarantee the short breeding time for the entire mass range up to uranium and to have a high injection efficiency, the EBIS is designed to operate at an electron beam density of up to 20 000 A/cm2. With the EBIS being operated at ultra-high vacuum, and no plasma wall interactions, additional contaminants induced by the charge state breeding process are expected to be significantly reduced compared with the ECRIS. Total beam intensity is limited mainly by space charge in the buncher to about 107 ions per bunch.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.010 |
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".