Analysis and Circuit Modeling of Waveguide-Separated Absorption Charge Multiplication-Avalanche Photodetector (WG-SACM-APD)
Bibliographic record
Abstract
Waveguide photodetectors are considered leading candidates to overcome the bandwidth efficiency tradeoff of conventional photodetectors. In this paper, a theoretical physics-based model of the waveguide separated absorption charge multiplication avalanche photodetector (WG-SACM-APD) is presented. Both time and frequency modeling for this photodetector are developed and simulated results for different thicknesses of the absorption and multiplication layers and for different areas of the photodetector are presented. These simulations provide guidelines for the design of these high-performance photodiodes. In addition, a circuit model of the photodetector is presented in which the photodetector is a lumped circuit element so that circuit simulation of the entire photoreceiver is now feasible. The parasitics of the photodetector are included in the circuit model and it is shown how these parasitics degrade the photodetectors performance and how they can be partially compensated by an external inductor in series with the load resistor. The results obtained from the circuit model of the WG-SACM-APD are compared with published experimental results and good agreement is obtained. This circuit modeling can easily be applied to any WG-APD structure. The gain-bandwidth characteristic of WG-SACM-APD is studied for different areas and thicknesses of both the absorption and the multiplication layers. The dependence of the performance of the photodetector on the dimensions, the material parameters and the multiplication gain are also investigated.
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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 | 0.001 |
| 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) | 0.002 | 0.001 |
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".