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Record W2316400492 · doi:10.2514/6.2006-5967

Odin During Year Six, Implementing Additional Autonomy In-Orbit

2006· article· en· W2316400492 on OpenAlexaboutno aff
Stefan Lundin, Stig-Ove Silverlind

Bibliographic record

VenueSpaceOps 2006 Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomyOrbit (dynamics)Computer scienceAerospace engineeringEngineeringPolitical science

Abstract

fetched live from OpenAlex

The aeronomy and astronomy scientific mission Odin, a Swedish led project in cooperation with Canada, Finland and France, was designed for a lifetime of two years. The satellite carries a tuneable submm radiometer working at 500 GHz complemented with a spectrograph covering both optical and infrared wavelengths. Although the satellite already at start was capable of autonomous operations during the full orbit and for several days, it soon after launch in February 2001 became apparent that both the GPS receiver and the cryogenic cooler demanded much more operator intervention than planned for. From a rather man-intensive operation scenario with commands transmitted to the satellite eight to ten times a day, the Swedish Space Corporation, SSC, gradually improved the system and liberated the operator on duty. Today, for cost reasons and due to custom demands, SSC is ready to automate much of the regular operations and control the 250 kg spacecraft on a working hour basis only. A prerequisite to this step is that the attitude control system is tuned to a very high level, that the power system is well tested and that the data communicati on so far never has produced a severe anomaly. After mid April 2006, after more than 5 years in-orbit, the satellite is believed very well known with clear signatures on most situations. It still carries full redundancy and new anomalies are rare. These facts, together with some minor adjustment in the scientific schedule, open-up for a more autonomous mission with corrective actions automatically triggered from the control centre on the most common problem signatures. The system will be tested and verified during the summer of 2006.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.004

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.

Opus teacher head0.006
GPT teacher head0.187
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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