Use of the HIFROST Dilution Refrigerator for the $T_{20}$ Experiment
Bibliographic record
Abstract
I discussed the importance of the $T_{20}$ quantity, a tensor analyzing power, and the basic experimental setup for a measurement of $\stackrel{\leftrightarrow}{d}$ ($\vec{\gamma}$, n)p, the deuteron photodisintegration. Multiple measurements have suggested the existence of a channel around 9 MeV above two nucleon masses. This diverges from calculations from current nuclear theory, and this experiment will focus on this new channel and yield information on the nature of any discrepancy. This experiment will immediately follow the experiment of the GDH measurement on the deuteron and use a lot of the same equipment. While the target will be polarized in the GDH experiment, the target will have the tensor component enhanced for the $T_{20}$ experiment. I will discuss the status of the experiment, as well as the current status of the dilution refrigerator, and the progress being made.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".