Representative Atmospheric Parameters in Multijunction Solar Cell Design
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The representative spectrum selection approach is applied systematically to determine efficiency-maximizing multijunction solar cell (MJSC) bandgap combinations that also maximize energy yield (EY). The technique is performed using a complete, validated dataset of annual spectral irradiance measurements collected in Ottawa, Canada, and compared to the same calculation using simulated spectra with fixed representative atmospheric parameters. We confirm that representative atmospheric parameters exist, are identified with their median direct normal irradiance values, and show that they accurately predict maximized EYs at the MJSC design points. Representative spectra, for MJSCs of 2-8 junctions, are determined as a function of aerosol optical depth (AOD) and precipitable water (PW). Coefficients that describe the change in the EY and representative spectrum as a function of changing representative AOD and PW from one location to another are presented.
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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 | 0.000 | 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) | 0.000 | 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 it