Optical characterization of aluminum-based 280 GHz CCAT MKID pixels and arrays
Bibliographic record
Abstract
We present the first full-array optical characterizations of the 280 GHz aluminum-based superconducting microwave kinetic inductance detector (MKID) arrays developed at NIST, CO, USA for the CCAT Collaboration for observing galactic ecology, Sunyaev-Zel'dovich effect, galaxy evolution, and line intensity mapping. The main advantage of aluminum MKIDs is their lower 1/f noise compared to the alternative choice of titanium-nitride (TiN) MKIDs, which would reduce systematic drifts when mapping the sky. We will present the spectral response, polarization characteristics, detector efficiency, and noise equivalent power (NEP) under the relevant conditions for these detectors. Two aluminum and one TiN MKID arrays will form the detector arrays in the 280 GHz instrument module of the Prime-Cam. First light observations are expected in 2025.
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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) | 0.000 | 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) | 0.002 | 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 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".