ECRIS charge breeding: High resolution spectra and emittance
Why this work is in the frame
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Bibliographic record
Abstract
The charge breeding process, consisting of a low charge state ion beam (1+) plasma capture followed by a multi-ionization process, has been developed for more than ten years in LPSC Grenoble (previously ISN) using ECRIS. The challenge has been to optimize the 1+ capture and then the reextraction of the multicharged ions produced, keeping a “reasonable ECRIS working.” There are now three ECRIS PHOENIX Booster in the world (LPSC-Grenoble, CLRC-Daresbury, and TRIUMF-Vancouver). The LPSC-ECRIS has recently been set up in a completely renewed test bench equipped with a high resolution n+ mass spectrometer and a high resolution emittance meter. The CLRC-ECRIS is dedicated to online experiments with radioactive ions at REX-ISOLDE and the TRIUMF-ECRIS will soon be ready to undergo a validation process. We will present the preliminary results obtained with the new setup of the LPSC PHOENIX Booster with a special attention to the 1+ emittance and the characterization of the unwanted beams (usually called “impurities” by the RIB production specialists) present in a spectrum of a non-UHV ECRIS.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it