<title>Layout and packaging of the MOPITT instrument</title>
Bibliographic record
Abstract
The Measurements Of Pollution In The Troposphere (MOPITT) instrument is one of five instruments flying on NASA's Terra (formerly EOS-AM1) spacecraft that was launched in December 1999. This paper describes the MOPITT instrument mechanical configuration and how it was derived based on system considerations and spacecraft interfaces. These system level considerations include contamination control, EMC/EMI, thermal, optical and structural behavior. The key spacecraft interfaces include mechanical mounting, optical field-of-view (FOV), and thermal transfer. In addition, a detailed discussion is provided for the cryogenic region of the instrument that contains detectors, cold optics, warm optics, and active coolers. Special test fixtures were designed and incorporated in this region of the instrument to permit cooling of the detectors during ambient atmospheric conditions. Some of these test fixtures were designed to fly due to the difficulty in removing them. This utility of operating the instrument's cryogenic detectors within the laboratory environment was extremely beneficial during the instrument optical alignment, EMC testing, and special optical system tests. Final configuring (or closeout) of the instrument's cryogenic region for flight was performed to balance contamination and EMC risks. On-orbit data about the effectiveness of this closeout is provided.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.022 |
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".