Bibliographic record
Abstract
A programmable digital delay and trigger system has been designed and constructed in VME format for the STACEE [1] ground-based gamma ray astrophysics project. The system is required to accommodate channel-to-channel timing differences that change as an astronomical source is tracked across the sky. The system is modular, with each VME module containing eight channels. The delay for each channel can be programmed in real time in one nanosecond steps with a range of 2048 nanoseconds. Each VME module contains trigger multiplicity logic, featuring selectable coincidence widths, and a multiplicity level programmable from one to eight. Up to eight modules can be combined to generate a global trigger derived from 64 channels. The global trigger is formed by requiring a multiplicity of module triggers, again with a programmable level from one to eight. The global trigger stops the system in order to allow the readout of the time coordinates of each channel over the VME bus. This feature can be used for the initial setup in coarse resolution mode, or in general to further refine the firmware trigger decision. Without matching any of the critical timing components, preliminary results show that the timing resolution of the system is substantially better than one nanosecond.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".