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Removing Clock-Drift and Ionospheric Errors from the CHIME-KKO VLBI Delays

2024· article· en· W4393028180 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Frequency and Time Standards
Canadian institutionsMcGill University
Fundersnot available
KeywordsVery-long-baseline interferometryIonosphereGeodesyGeologyComputer scienceGeophysics

Abstract

fetched live from OpenAlex

The Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst project (CHIME/FRB) and its three outrigger telescopes will form a Very Long Baseline Interferometry (VLBI) network, with the goal of localising many hundreds of one-off and repeating FRBs to sub-arcsecond precision. Phase calibration is essential for successful VLBI, and requires removing errors due to ionosphere, clock, and instrumental delays. For calibrating the VLBI network, we plan to employ pulsars and traditional steady radio sources spread over the entire sky as calibrators. The first CHIME/FRB Outrigger, k'niʔatn k'l‿stk'masqt (KKO), came online in June 2022 and has been in commissioning ever since. It has a 66-km line of sight distance to CHIME and can provide a localisation accuracy of 1 arcsecond along the direction of the baseline. As the pathfinder for the outriggers, KKO has enabled the development and testing of our VLBI calibration techniques.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.764
Threshold uncertainty score0.998

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)0.0030.000

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 head0.005
GPT teacher head0.234
Teacher spread0.229 · 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

Quick stats

Citations1
Published2024
Admission routes2
Has abstractyes

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