Compact laser cooling apparatus for simultaneous cooling of lithium and rubidium
Bibliographic record
Abstract
We report on a dual species laser cooling apparatus capable of collecting over 108 87Rb or 85Rb atoms from an atomic vapor or up to (8±2)×107 6Li atoms directly into a magneto-optic trap (MOT) from an effusive oven without the need for a Zeeman slower. The use of a miniature atomic oven placed close to the trapping region yields a compact vacuum system with a captured flux of more than 4×106 lithium atoms per second and a high quality vacuum in the 10−10 Torr range. The atomic sources, laser system, and vacuum system are described. In addition, we use this system to study atom loss from the MOT due to interspecies collisions between 6Li and 85Rb or 87Rb. We report for the first time the heteronuclear loss coefficients for 6Li-85Rb mixtures.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".