Asymmetry in the dark current low frequency noise characteristics of B–B and B–C quantum well infrared photodetectors from 10 to 80 K
Bibliographic record
Abstract
We present experimental results demonstrating the significant effect that the type of intersubband transition has on the dark current noise of quantum well infrared photodetectors containing 32 Si-doped GaAs quantum wells separated by ∼350 Å thick AlxGa1−xAs barriers. The experimentally observed asymmetry in the noise characteristics is similar but larger than the asymmetry between dark currents under forward and reverse bias voltages. We are able to control the ratio between the components of the dark current by biasing with constant current and varying the temperature over an extended range well below the intended operational point. Our results indicate a clear relationship between the excessive low-frequency generation-recombination noise and the thermally assisted tunneling component of the dark current. We have also found indications that the excessive 1/f like noise component can be related to the tunneling process in direct well-to-well tunneling and to thermally assisted tunneling dark current mechanisms.
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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".