Microstrip-coupled TES bolometers for CLOVER
Bibliographic record
Abstract
Clover aims to detect the signature of gravitational waves from inflation by measuring the B-mode polarization of the cosmic microwave background. We have produced microstrip-coupled TES detectors for Clover. The dark NEP of these detectors is dominated by the fundamental phonon-noise limit and we have measured high optical detection efficiencies in these devices with two completely different RF architectures: a finline transition and a four-probe OMT. Clover consists of two telescopes: one operating at 97 GHz, and one with a combined 150/220-GHz focal plane. The 220-and 150-GHz detectors use waveguide probes while the 97-GHz detectors use finline transitions to couple waveguide modes into the microstrip. Each detector is fabricated as a single chip to ensure a 100% operational focal plane. The detectors are mounted in eightpixel modules and the focal planes are populated using 12 detector modules per detection frequency. Each detector module contains a time-division SQUID multiplexer to read out the detectors. Further amplification of the multiplexed signals is provided by SQUID series arrays. We describe the design of the Clover detectors and present measurements of the prototype detectors' performance showing that they satisfy the requirement of photon-noise limited operation on Clover.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 | 0.001 |
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".