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Record W7004874164

Overview of the RICH Optical Data Link and Evaluation of its Optical Attenuation

2006· other· en· W7004874164 on OpenAlexaff

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2006
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsOptical attenuatorOptical linkAttenuation3D optical data storageOptical performance monitoringAttenuator (electronics)Link (geometry)Data linkOptical cross-connect
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.119
GPT teacher head0.297
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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Same venueCERN Document Server (European Organization for Nuclear Research)Same topicPlant Diversity and EvolutionFrench-language works237,207