Characterization of two-layer Al/TiN microwave kinetic inductance detectors
Bibliographic record
Abstract
In this paper we will present characterization of our Microwave Kinetic Inductance Detectors (MKIDs). The design process involved using Sonnet and LEdit 8.3. In this design, we employed a structure consisting of TiN (3nm)/Ti (10nm)/TiN(3nm) layers covered by a 100nm aluminum layer. This structure provides a kinetic inductance of 100 pH/Sqcm and a critical temperature of 1.1 Kelvin. The MKIDs were fabricated on 5-inch silicon wafers with a resistivity exceeding 15000 ohm cm. The designs cover three frequency regimes: 1-2 GHz, 2-4 GHz, and 3-6 GHz. This variation in frequency ranges allows us to study the improvement of quality factors and provides a range of frequencies for testing our electronics.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".