Calculating the photocurrent and transit-time-limited bandwidth of a heterostructure p-i-n photo-detector
Bibliographic record
Abstract
We have calculated the photocurrent and transit-time-limited bandwidth of a heterostructure p-i-n photodetector. The effective heights of potential barriers at the heterojunction interfaces in the valence band and conduction band have been calculated at different bias voltage and grading lengths for InP-In/sub 0.53/Ga/sub 0.47/As and Al/sub 0.2/Ga/sub 0.8/As-GaAs systems. The rates of thermionic emission from the trap can then be easily estimated for each type of material system at an applied bias and for a particular thickness of the grading layer. An expression for current through the photodetector in the presence of traps has been derived by solving rate equations for an arbitrary distribution of photogenerated carriers in the absorption region. Frequency-domain calculations are used to find the transit-time-limited 3-dB bandwidths of the photodetector. It has also been indicated how the results could be used to estimate the bandwidth of the photodetector without performing the exact calculations in the presence of interface trapping. The results from the present model show good agreement with experimental data already reported in the literature for conventional and resonant-cavity-enhanced p-i-n photodetectors.
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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 | 0.001 | 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".