ESA Deep Space Antenna 2 Pointing Calibration System
Bibliographic record
Abstract
I 2005, Systems Engineering Division (SED Systems) of Calian Ltd, Saskatoon, Canada, installed and commissioned a pointing calibration system (PCS) for the second ESA 35-m antenna with X/Ka-band telemetry, tracking, and command (TTC) at Cebreros, Spain. The large antenna diameter together with the operation at Ka-band results in challenging pointing requirements. The system fully automates pointing error measurements and provides an easy to use tool for the calculation of systematic pointing error model coeffi cients. The PCS takes into account systematic pointing error sources such as gravity effects, misalignments, nonorthogonalities between axes, beam waveguide mirror alignment errors, radio frequency (RF) beam squint, etc. Also, the PCS calculates and applies a correction for the thermal distortion of the main refl ector and subrefl ector struts. The PCS is fully automated and is under remote control from the European Space Operations Centre (ESOC) in Darmstadt, Germany. The pointing error requirement of the antenna is 5.5 mdeg (3-sigma including measurement error) under worst-case environmental conditions (45 km/h average wind speed, gusting
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.061 | 0.063 |
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".