Bibliographic record
Abstract
In this thesis, we analyze several system parameters and performances for free-space optical satellite networks (FSOSNs), including phasing parameter, optical satellite link budget, tradeoff between network latency and satellite transmission power, and network latency minimization based on satellite transmission power constraints. We investigate the phasing parameter for Starlink Phase 1 Version 3 and Kuiper Shell 2 constellations. We find the best value of the phasing parameter. We investigate the link budget for laser inter-satellite link (LISL) and uplink/downlink and the effect of many constellation parameters on the satellite transmission power. We examine the tradeoff between network latency and satellite transmission power in FSOSNs from Starlink Phase 1 Version 3 and Kuiper Shell 2 constellations for different LISL ranges and inter-continental connections. We investigate the minimization of total network latency in the FSOSN resulting from Starlink Phase 1 Version 3 constellation for different LISL ranges and satellite transmission power constraints.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".