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Record W4405022807 · doi:10.1109/tns.2024.3506753

lpGBT: Low-Power Radiation-Hard Multipurpose High-Speed Transceiver ASIC for High-Energy Physics Experiments

2024· article· en· W4405022807 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIEEE Transactions on Nuclear Science · 2024
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsnot available
FundersOntario Ministry of Research and InnovationHorizon 2020 Framework ProgrammeMinistry of Higher EducationEuropean CommissionCERN
KeywordsApplication-specific integrated circuitRadiation hardeningRadiationTransceiverHigh energyPower (physics)PhysicsElectrical engineeringLow energyElectronic engineeringEngineeringEngineering physicsMaterials scienceNuclear physicsParticle physicsCMOS

Abstract

fetched live from OpenAlex

Commissioning of detector systems for the high-luminosity large Hadron collider (HL-LHC) is scheduled to take place between 2026 and 2028 at CERN. Application-specific integrated circuits (ASICs) for those systems have been in intense development over the past ten years. Some of those ASICs, as is the case of the low-power gigabit transceiver (lpGBT) described in this work, have now been produced in industrial quantities and have been fully qualified for operation in the HL-LHC environments that require, where the innermost detectors are concerned, radiation hardness over 1 MGy. The lpGBT is a multifunctional device, enabling data transmission between the off-detector and the on-detector systems. Data can be transmitted from the detector at 5.12 and 10.24 Gb/s and to the detector at 2.56 Gb/s. It implements data rate-configurable electrical links to communicate with the front-end ASICs and low-speed serial and parallel buses for experiment control. A set of analog functions for monitoring and control of the physics detectors is also included. This article describes the functionality and the architecture of the lpGBT ASIC and reports on its radiation hardness characterization.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.230
Teacher spread0.216 · 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