Overview of the RICH Optical Data Link and Evaluation of its Optical Attenuation
Bibliographic record
Abstract
The RICH optical link is required to transport the Gigabit/s data flow from the on-detector Level 0 front-end boards to the Level 1 receiver electronics located approximately 100 meters away in the counting room. To ensure the light intensity observed at the Level 1 end of the optical link is compatible with the optical receiver specifications, a knowledge of the optical attenuation across the proposed link is necessary. This report presents the results obtained from performing attenuation tests on the RICH optical link and its constituent interfaces. These results are then used to predict the absolute maximum and minimum light intensities that would be expected at the Level 1 optical receiver when the data link is driven by the Level 0 optical transmitter, the VCSEL. To confirm these results explicitly, Bit Error Rate (BER) tests were performed using a variable optical attenuator inserted into the data link. The report concludes that by operating the VCSEL with a baseline driving current below 4.2 mA the RICH front-end data will be efficiently transferred across the proposed optical data link to the Level 1 receiver.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".