Optical Co-Orbital Measurements in Low Earth Orbit
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 increasing access to the space domain has led to the growth of the on-orbit object population, as well as the evolution of space surveillance capabilities. With the increased public attention paid to spacecraft proximity and rendezvous operations, is an opportunity to examine what and how current space surveillance capabilities can contribute to this field. This thesis examines the feasibility and challenges associated with re-purposing an existing on-orbit space surveillance capability, the NEOSSat microsatellite, to perform proximity operations. The ability of NEOSSat to collect a sufficient number of accurate optical observations to determine the relative orbit of a target spacecraft is explored. A variety of observation events are explored with a collection of spacecraft to generate relative orbits using inertial orbit determination techniques. These practical results, to the author's knowledge, are the first in the field of relative orbit determination using inertial techniques between two co-orbital Low Earth Orbit satellites.
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 | 0.000 | 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 | 0.001 |
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 it