Scientific satellite ground station at 2 GHz in urban environment
Bibliographic record
Abstract
The aim of this work was to demonstrate that an autonomous and reliably work- ing satellite ground station in urban area can be designed, built, and operated at costs affordable for Universities. This was shown by participating in a Canadian based project called MOST (Microvariability and Oscillations of STars). MOST is a microsatellite space telescope mission to analyze the inner structure of stars by asteroseismological methods, to find Exoplanets, and to set a lower limit for the age of the Universe. The microsatellite carries a Rumak-Maksutov telescope with an aperture of 15 cm. The size of the satellite is 65 cmx 65 cmx 30 cm and the mass is about 65 kg. The Austrian part of this project was funded by ASA (Austrian Space Agency). For ease of maintenance the ground station is located at the Institute for Astronomy of the University of Vienna. Therefore interference from sources in the urban environment had to be considered. In course of this work it was shown that interference from intermodulation products originating from mobile radio are present but do not hinder or influence the communication with the satellite. Also it was shown that there is man made noise interference at low elevation angles. Man made noise corrupts communication with the satellite at very low elevation angles only. The ground station built operates in an unmanned autonomous mode as default. However, remote access via Internet has been provided for operating convenience. Since September 2003 the ground station is working. Up to now there were about 3000 passes of the satellite over Vienna. From all satellite passes with an elevation angle above 4° successful communication was established with a reliability of 98%. Since January 2004 the station is working in unmanned autonomous mode.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".