Attitude determination and control: Detailed design, test, and implementation for CanX-2 and preliminary design for CanX-3 and CanX-4/5
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The University of Toronto's Space Flight Laboratory develops nanosatellites through its Canadian Advanced Nanospace eXperiment (CanX) program to advance scientific understanding and engineering capabilities. Three missions are treated: CanX-2, a nanopropulsion demonstration mission that also observes greenhouse gas fluxes and upper-atmospheric water properties; CanX-3, an astronomy mission that performs differential photometry on the brightest stars in the sky; and CanX-4/5, a dual-satellite formation flight mission. The success of each mission depends, in part, on the satellites' ability to determine and control orientation, particularly in the context of payloads. This drives the need to develop a high-fidelity, robust attitude determination and control subsystem. This thesis covers the full attitude subsystem design, test, implementation, and anticipated performance of the CanX-2 mission; the preliminary attitude subsystem design for the CanX-3 and CanX-4/5 missions; and discussion of some of the infrastructure that has been developed to test the designs and support the CanX program.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it