TMT NFIRAOS deformable mirror electronics FPGA firmware design
Bibliographic record
Abstract
The NFIRAOS Deformable Mirror Electronics (NDME) system is integral to the Narrow Field InfraRed Adaptive Optics System (NFIRAOS) of the Thirty Meter Telescope (TMT). Using two sets of deformable mirrors to correct wavefront aberrations, the NDME converts stroke commands from the NFIRAOS Real-Time Controller (NRTC) into precise actuator drive voltages. The NDME FPGA firmware enables real-time functionality, handling concurrent command processing with strict timing requirements. It incorporates low-latency SPI for DAC and ADC and custom 1G Ethernet interfaces. Benchmarking with the Xilinx Kria K26 FPGA demonstrates the firmware's efficiency in managing data transmission and processing latencies adhering to a critical 75-microsecond threshold. These results validate the firmware's efficiency, robustness, and reliability, which are crucial for the TMT project's success.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".