SuperCDMS Detector Readout Cryogenic Hardware
Bibliographic record
Abstract
SuperCDMS employs 1-inch thick gennanium crystals operated below 50mK in a dilution cryostat.Each detector produces ionization and phonon signals.Ionization signals are amplified by JFETs operating at 150K within an assembly mounted on the 4K cryostat stage.These high impedance signals are carried to the FETs by superconducting "vacuum coaxes" which minimize thermal conductivity, stray capacitance, and microphonics.Transition edge sensors produce low-impedance phonon signals, amplified by SQUID arrays mounted on a 600mK stage.Detectors are mounted in a six-sided wiring configuration called a "tower", which carries signals from 40mK to 4K.A flex circuit 3 meters in length carries amplified signals for each detector from 4K to a vacuum bulkhead.We describe the methods used to support the detectors, wiring and amplifier elements at various thermal stages, minimizing electrical noise and thermal loads.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.035 | 0.008 |
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".