Development of a simulation environment to test space missions COTS technologies
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 Canadian Space Agency's (CSA) Software and Ground Segment Section (SGS) has the mandate to develop innovative emerging software and on-board satellite and ground segment computer technologies. To that end, there is an ongoing development of a simulation environment to test COTS (Commercial-Of-The-Shelf) technologies. There are severe cost constraints in all aspects of many space missions due to the limited return on investment and scarce commercialization opportunities that come with many science missions. There is an opportunity to explore the innovative implementation of COTS technologies to reduce the mission cost and maximize performance available from COTS components. However, using COTS technologies in the space environment has ist constraints and therefore designing a spacecraft mission has to involve some new techniques that allow implementation of these components and minimize the risk of failure. The goal of our project is to develop a simulation environment, itself using COTS components, and then to allow the seamless integration of various components to test spacecraft mission concepts. For example, one of the aspects of using COTS processors in space is to protect them from the radiation environment. The current state of the simulation tests an innovative software EDAC (Error Detection and Correction) package and a redundant processor configuration to investigate protection against the effects of radiation and other failures on a generic mission. It also includes the capability to test formation-flying concepts that have the potential to revolutionize cost reduction efforts for space missions and to enable new space applications. This paper describes the simulation environment in detail and illustrates some of the technologies being tested for possible future space missions. The paper concludes with a look at the future development of the simulation environment and possible benefits of its use as well as the lessons learned to date.
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 | 0.000 |
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