Optical control using an acousto-optic scanner
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
Optical controllers exploit lightwave technologies to implement different control strategies. It is possible to replace many of the electrical and mechanical components found in traditional linear and nonlinear controllers with optical analogues that increase the speed of signal processing or enhance system sensitivity. These optical sensors, switches, communication links, and actuators are largely immune from electromagnetic interference, exhibit low signal attenuation, provide secure flow of information, and are safe in hazardous or explosive environments. In addition, the energy in the light beam is one of the easiest forms of energy to shape and transmit through free space. The fundamental characteristics of several "control-by-light" systems are discussed in this paper. The proposed control system utilizes an acousto-optic deflector (AOD) to change the direction of the reshaped laser beam in response to the feedback error signal. The deflected beam strikes an array of photodetectors where each discrete detector represents a specific control action. One- and two-dimensional detector array configurations are explored for control. Although the controller designs can be implemented on optical breadboards using off-the-shelf optical devices, recent advances in nanotechnology would allow similar micro-scale optical controller to be fabricated at low cost.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it