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An F-Test for Polynomial Frequency Modulation

2021· article· en· W3161696374 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Polarization and Ellipsometry
Canadian institutionsTrent UniversityQueen's University
Fundersnot available
KeywordsMultitaperPolynomialParametric statisticsDemodulationTest statisticModulation (music)Null (SQL)ObservatoryAlgorithmComputer scienceMathematicsStatisticsPhysicsStatistical hypothesis testingMathematical analysisTelecommunicationsAstrophysicsAcousticsData mining

Abstract

fetched live from OpenAlex

We propose a semi-parametric multitaper F -test for the detection of line components which have been modulated by a polynomial of a given degree. The test is based on one proposed by Thomson in his 2009 paper, "Polymomial Phase Demodulation in Multitaper Analysis." We give the asymptotic null distribution of our test statistic as F with degrees of freedom depending on the modulating polynomial degree, p, and the number of tapers used, K. We demonstrate the performance of our F -test via simulation, and we apply our F -test to optical solar data obtained by the Global Oscillations for Low Frequencies (GOLF) instrument onboard the SOHO solar observatory satellite.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.212

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 head0.010
GPT teacher head0.235
Teacher spread0.224 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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