Design and Implementation of Ground Support Equipment for Characterizing the Performance of XPOD and CNAPS & Thermal Analysis of CNAPS Pressure Regulator Valve
Bibliographic record
Abstract
As the potential uses of nanosatellites become apparent, their numbers keep increasing. This is evident at the Space Flight Laboratory (SFL) located at the University of Toronto Institute for Aerospace Studies which has seen a rapid growth in satellite missions in recent years. By leveraging the use of the Generic Nanosatellite Bus developed at SFL, satellites can be rapidly developed to carry science payloads or demonstrate the capabilities of new technologies on orbit. Testing satellite systems in an Earth environment is an important step in qualifying them for space. This thesis describes the development of ground support equipment for testing SFL’s nanosatellite separation system, XPOD, and characterizing the performance of the propulsion system, CNAPS. Also, the thermal behaviour of a pressure regulator valve on CNAPS is examined for various flow conditions.
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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) | 0.000 | 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)
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".