Device and application of quantum well photodetectors for terahertz region
Bibliographic record
Abstract
We report on the progress of devices and applications of quantum-well photodetectors (QWIP) for the terahertz (~ 1-10 THz) spectrum region. We discuss device design and show that the device dark current can by effectively reduced by employing wider quantum barriers. We demonstrate several GaAs/AlGaAs QWIPs for different peak wavelength with background limited infrared performance (BLIP). We report experimental results on intersubband absorption spectra, measured using multi-pass waveguide geometry. We show that the experimentally measured intersubband energy levels agree excellently with the theoretical simulations, provided that many-body effects are taken into consideration, including exchange-correlation and depopulation effects. We report the results of QWIP photo-current spectra and detector responsivity. We discuss the high frequency capability of THz-QWIP and present experimental results of device time response measured using microwave rectification technique. We discuss its application in free space terahertz communication in combination with a terahertz quantum cascade laser (QCL). We discuss the terahertz to near infrared (THz-to-NIR) optical upconversion using a monolithic integration of THz GaAs/AlGaAs QWIP and NIR GaAs/AlGaAs LED, and its potential applications in terahertz imaging.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".