Research, development and commissioning of a novel bitter-coil quadrupole for atomic fountain studies at TRIUMF
Bibliographic record
Abstract
While studying the fundamental building blocks of the universe, high precision is required to characterise matter and antimatter systems, such as hydrogen and antihydrogen. On-going experiments, such as ALPHA at CERN, have measured antihydrogen energy levels to high precision, and started probing gravitational properties of antimatter. However, it is likely that these experiments will eventually be limited by systematic errors, prompting the question: how can these measurements be improved? The Hydrogen-Antihydrogen Infrastructure at Canadian Universities (HAICU) aims to address this by employing quantum sensing techniques, such as Raman and Ramsey interferometry. These approaches have the potential to offer superior precision and help reduce systematic uncertainties. A key goal of HAICU is to implement atomic fountain techniques, which enable high-precision measurements in near-zero magnetic field regions. Hydrogen is initially used as a proxy to demonstrate the feasibility of these methods for antihydrogen. Realising such a fountain system requires sig nificant research and development, particularly for the magnetic minimum trap. To this end, a novel Bitter-coil–based magnet system is being developed. Unlike traditional superconducting magnets, this design offers improved optical access and operational robustness, without the need for cryogenic systems. At the core of the trap is a quadrupole composed of four identical packs, which radially confine cold (< 50 ms-¹) hydrogen atoms. These quadrupole packs operate alongside axial coils to shape the magnetic field geometry for capturing and cooling hydrogen atoms. As part of the R & D effort, a single quadrupole pack was constructed and subjected to extensive testing, including an 8-hour thermal load trial and magnetic field mapping. The pack sustained a stable field of (127.8 ± 6.4) mT at 15 mm from its surface, with temperature increases of (2.9–4.6◦C) relative to the inlet water, under a 1200 A current. These results matched simulation predictions and set the benchmark for the remaining packs. This work establishes a robust testing framework and construction standard for the phase 1 magnetic minimum trap, in coordination with the axial coils, Zeeman decelerator, and detection systems
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".