Space qualification of a 512x3 pixel uncooled microbolometer FPA
Bibliographic record
Abstract
We have previously reported on the initial development of a multi-linear uncooled microbolometer FPA for space applications. The IRL512 FPA features three parallel lines of 512 pixels on a 39 micron pixel pitch with parallel integration of all pixels, a complete detector bridge per pixel for offset and substrate temperature drift compensation, and one 14-bit digital output bus per line. The FPA achieves an NETD below 45 mK over the LWIR spectral band with 50 ms integration time, 300 K scene temperature, and f/0.87 optics. In the context of the NIRST instrument for the upcoming SAC-D/Aquarius earth observation mission, MWIR and LWIR optimized versions of the IRL512 in radiometric packages including integrated stripe filter and radiation shield have recently successfully undergone screening and qualification campaigns. The qualification strategy consists of part element and device qualification including proton and total dose radiation, shock, vibration, burn-in, and thermal cycling. The test conditions and results will be reviewed. The thermal resolution of the current generation of radiometrically packaged IRL512 FPA in the NIRST instrument is below 500 mK with an 0.9 micron spectral bandwidth centred at 10.85 μm, 50 ms integration time, the NIRST f/1 optics, and 300 K scene temperature.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.003 | 0.002 |
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".