Ultrafast quantum well infrared photo detector
Bibliographic record
Abstract
Quantum well infrared photo-detectors (QWIP) have found numerous application as sensitive fast photo-detectors. Applications for fast detectors include laser diagnostics, telecommunications and Compton scattering measurements. The high speed potential of QWIPs is enabled by a short carrier lifetime in the order of 5 pS. This short lifetime permit's design of a 40 GHz bandwidth detector. In this paper we report on the development of a QWIP with an integrated electrical co-planar waveguide. The QWIP is a 100 well structure that is almost completely absorbing over the wavelength range of 9 to 11 microns. Free space radiation at 105 GHz has been observed from these QWIPs, but devices made to exploit this speed have not yet been developed. It is necessary to integrate an electrical co-planar waveguide with the QWIP mesa. In this work we report on a QWIP fabricated with a gold air bridge to connect the top of the mesa to the center line of a gold co-planar waveguide. The co-planar waveguide is tapered to allow direct connection to 2.4 mm and smaller electrical cable. Initial tests indicate that the device has a 40 GHz or greater bandwidth.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".