Temperature monitoring of narrow bandgap semiconductors
Bibliographic record
Abstract
An integrated spectral pyrometry (ISP) technique particularly well suited to monitor the temperature of small bandgap semiconductors during molecular beam epitaxial growth is proposed. The technique relies on integrating the thermal radiation power emitted by the wafer over a spectral range where it is fully opaque, so as to avoid contribution from radiation transmitted from the substrate heater. In the present work, a 900–1700 nm array InGaAs spectrometer normally employed for band-edge thermometry was used. The temperature dependence of the integrated signal can be expressed by an Arrhenius-type exponential relation. The calibration procedure and the method employed to compensate for the background radiation from other hot objects in the reactor is discussed. The ISP performance is then demonstrated by monitoring the temperature during the growths of a Si doped InAs layer on InAs substrate and of an InSb/AlInSb quantum well structure on GaAs substrate. The ISP technique allows reproducible wafer temperature monitoring down to about 200 °C.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".