Odin Telescope Beam Measurements at CESR-Toulouse 2000 September
Bibliographic record
Abstract
The main purpose of the series of tests conducted at CESR in September was to verify the co-alignment of the five radiometer beams, and to adjust OSIRIS such that it also looks in the same direction as the radiometer. Note that results for OSIRIS are documented separately by Nick Lloyd and Doug Degenstein in "OSIRIS Beam Alignment Results from Toulouse September 2000". The measurements were not done in an anechoic environment, so we do not have accurate beam profiles of the radiometer down to the sidelobe levels,however, the main lobe is well measured. Another goal of the campaign was to measure the difference that is made in the beam profile when the telescope is heated up to a uniform temperature across the main reflector. The five channels of the radiometer are all very well co-aligned. OSIRIS is co-aligned with the beam direction of the radiometer. Heating the telescope did not produce any measurable difference, within the accuracy of the measurement setup.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.182 | 0.027 |
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; both teacher heads agree on what is shown here.
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".