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Record W3113334479 · doi:10.1117/12.2562643

Incoherent clocking for radio telescopes

2020· article· en· W3113334479 on OpenAlexaff
Brent Carlson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsAntenna (radio)Radio telescopeComputer scienceField-programmable gate arrayTelescopeRepeater (horology)Radio astronomyDigital radioComputer hardwareElectrical engineeringElectronic engineeringTelecommunicationsPhysicsEngineeringOpticsAstronomy

Abstract

fetched live from OpenAlex

The method of “incoherent clocking” is discussed, wherein all-digital methods using FPGAs and COTS digital fiberoptic modules and commercial (e.g. aerial) fiber routing, along with free-running local oscillators at each antenna, are used to provide a clock and timing solution for “at antenna” digitization for any cost, scale, and frequency of radio telescope. Antenna local oscillator stability (Allan Deviation) requirements are developed, indicating there is virtually no limit in baseline extent that can be handled with this method. Research results and plans, focusing on a hardware “laboratory demonstrator” at 10 Gbps using a Xilinx ZCU111 evaluation board, with external real-world aerial fiber up to 300 km with OEO repeaters, are presented and discussed. As well, although not discussed in this paper, with NRC “Small Teams” funding, 4 antennas of the NRC-Penticton 7-antenna 400-1800 MHz Synthesis Telescope are being outfitted with new feeds, receivers, an at-antenna digitizer, and a “TALON Demonstration Correlator” (developed for the SKA) to test this method on-the-sky.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.516

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)0.0000.000

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 head0.025
GPT teacher head0.239
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2020
Admission routes1
Has abstractyes

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