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TRIUMF LLRF Control System Upgrade

2023· article· en· W6962850617 on OpenAlexaff

Bibliographic record

VenueJACOW · 2023
Typearticle
Languageen
FieldEngineering
TopicParticle Accelerators and Free-Electron Lasers
Canadian institutionsTRIUMF
Fundersnot available
KeywordsFirmwareUpgradeControl systemUSBMotherboardEthernetSuperconducting Super ColliderField-programmable gate array

Abstract

fetched live from OpenAlex

The LLRF system for Transfer line from Drift Tube LINAC(DTL) to Superconducting Linac (SCB) (DSB) was an analog-digital hybrid system running at 35.36MHz. The system controls the amplitude/phase and tuning for a buncher cavity on the beamline. During the 2022 October shutdown, the system is upgraded to a new fully-digital LLRF system. The new digital LLRF system is based on TRIUMF’s universal LLRF hardware with a new firmware. Instead of using a VXI crate, the new system adopts a NIM bin and uses USB communication with the local control PC. The amplitude/phase regulation is implemented in the FPGA firmware, and the tuning loop is implemented in the PC software, but driven by the FPGA. The Debian 11 linux OS is running on ARM CPU, and the new digital LLRF system works as a standard window HID device. The linux OS allows the firmware be updated in-situ using Ethernet communication. The detailed design is described in this paper.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.006
GPT teacher head0.181
Teacher spread0.175 · 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 designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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