The ARIEL Radioactive Ion Beam Transport System
Bibliographic record
Abstract
The Advanced Rare IsotopE Laboratory (ARIEL) is going to triple the radioactive ion beam (RIB) production at TRIUMF. The facility will enable multi-user capability in the Isotope Separation and ACceleration (ISAC) facility by delivering three RIBs simultaneously. Two new independent target stations will generate RIBs using a proton driver beam up to 50 kW from the 500 MeV cyclotron and an electron driver beam for photo-fission from the new superconducting e-linac in addition to the existing ISAC RIB production. The multi-user capability is enabled by a complex radioactive ion beam transport switchyard consisting entirely of electrostatic optics. This system includes two separation stages at medium and high resolution with the latter achieved by a mass separator designed for an operational resolving power of 20000 for a 3 micrometer transmitted emittance. Part of the system also includes an Electron Beam Ion Source (EBIS) charge breeder fed by a radio frequency cooler that allows the post-acceleration of heavy masses. Beam selection downstream of the EBIS is achieved by means of a Nier type separator. The facility is in a detailed design stage and some tests, procurements and partial installation are foreseen by the end of 2016.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.068 | 0.040 |
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".