Performance prediction and characterization of highly insulated microbolometers for space applications
Bibliographic record
Abstract
There is a demand for increasing the spatial resolution and swath width in Earth observation applications. To improve the resolution and swath width, increased thermal isolation and decreased pitch of the microbolometer need to be achieved. This paper reports on the investigation of different structures of highly insulated 35 μm pitch microbolometers. Each structure consists of two suspended Si3N4 platforms with the upper level containing the bolometer element and the lower level containing hinges of varying length. A numerical model was derived to predict the figures of merit of the structures prior to microfabrication. Experimental characterization was performed on microfabricated devices, confirming the computed results. The thermal conductance, in the range from 85 to 134 nW/K, varies inversely with the hinge length and the best responsivity was achieved on the sample with the longest hinge. The corresponding detectivity and response time were respectively 9 × 108 cmHz1/2/W and 8 ms approximately.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 0.000 |
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".