Bibliographic record
Abstract
In an optical communication system, the photodetector can be configured either as a direct or incoherent detector, or as a coherent detector. To obtain the best possible photoreceiver performance, the parameters of both the photodetector and the preamplifier should be optimized. Therefore, this chapter concentrates on describing some important photodetector structures and optical receivers. It describes photodetectors without internal gain, such as pn photodiodes, pin photodetectors (pin-PDs), Schottky barrier photodetectors, and metal–semiconductor–metal photodetectors (MSM-PDs). The chapter also describes photodetectors with internal gain, like avalanche photodetectors (APDs), photoconductive photodetectors, and phototransistors. Then, it describes some advanced photodetectors, such as resonant cavity-enhanced photodetectors (RCE-PDs) and waveguide photodetectors (WG-PDs). The chapter also describes noise sources in photodetection systems as well as optical detection system architectures.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.068 | 0.072 |
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".