Modeling and optimization of resonant cavity enhanced-separated absorption graded charge multiplication-avalanche photodetector (RCE-SAGCM-APD)
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Bibliographic record
Abstract
In this paper, a physical model of the Resonant Cavity Enhanced-Separated Absorption Graded Charge Multiplication-Avalanche Photodetector (RCE-SAGCM-APD) is presented. First, a SPICE model for RCE-SAGCM-APD is presented showing the dependence of the transfer function of this model on the dimensions, the material parameters and the multiplication gain of the photodetector. The results obtained from this SPICE model are compared with published experimental results and good agreement is obtained. The present SPICE model can also be applied to non RCE-APD and to different versions of avalanche photodetectors by modifying its transfer function. The gain-bandwidth characteristic of RCE-APD is studied for different areas and different values of the thicknesses of both the absorption and the multiplication layers. The gain-bandwidth characteristic of RCE-SAGCM-APD is studied for the case of an inductor added in series to the load resistance and better performance is achieved in comparison to the case with no inductance. The photodetector with and without the inductor is optimized to get the best values of thicknesses of both absorption and multiplication layers and also the optimal values of the series inductance. These optimizations are done for different areas of the photodetector, different multiplication gains and also for different load resistances.
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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)
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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 it