A Study of The Maximum Resolution of 2D Mirror Galvanometer Pointwise Scan Laser Display
Bibliographic record
Abstract
To obtain the maximum resolution of 2D mirror galvanometer pointwise scan laser display,the laser beam should scan the most points on the screen within the time T which is equal to 1/f,where f is the frame rate.Suppose that the minimum time spent to scan one point is t,so the maximum resolution is T/t.In contrast to traditional raster scan based on electrostatic or magnetic deflection,the mirror galvanometer is based on the mechanical deflection.The small angle step response time specification of the mirror galvanometer determines that the larger the deflection angle step,the longer the response time spent to reach the target position.The horizontal and vertical blanks in raster scanning all would result in the large angle step response,and in that the time spent to scan lines is almost equal to the blanks.So,raster scanning based on a mirror galvanometer only obtains nearly half the maximum resolution.This paper proposes one novel scan method called pointwise consistent scan which guarantees that the time spent to scan any point is the minimum time t,and which completely eliminates the blanks.Using this method can achieve the maximum scan display resolution.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".