Molding arrays of tertiary optical elements for microcell receivers
Bibliographic record
Abstract
Trough-Lens-Cone PV, or TLC, is a CPV module architecture that uses three-stage optics to enable high concentration at low cost. A trough mirror concentrates ∼40X on one axis onto a long, narrow module. The module cover has linear lenses on front that reconcentrate ∼10X on a second axis, producing a series of narrow ∼400X focal lines. The final optical stage is an array of CPC (compound-parabolic-curve) cones that raise the concentration to ∼1500X. A receiver has an array of microcells in parallel to handle the trough’s uneven concentration, and each cone funnels light to a microcell. Suitable parabolic troughs are already low cost, the lenses are designed to be roll-formed at very low cost, and the arrays of microcells can be assembled at low cost. However, forming the arrays of tiny cones is a potential obstacle. This paper describes criteria that the cones should meet, the challenges of producing suitable cones, the proposed cone-molding process, and first results from proof-of-concept prototyping of the proposed process.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".