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Record W2910724385 · doi:10.2514/6.2019-2382

Acoustic Atmospheric Propagation Model Validation with the NRC Convair 580

2019· article· en· W2910724385 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

VenueAIAA Scitech 2019 Forum · 2019
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsAtmospheric modelEnvironmental scienceModel validationComputer scienceAtmospheric sciencesMeteorologyRemote sensingGeologyPhysicsData science

Abstract

fetched live from OpenAlex

The National Research Council Canada was tasked to concurrently assess the visibility and audibility of aircraft in the vicinity of low-traffic aerodromes. This paper discusses the efforts to numerically estimate the acoustic propagation of an aircraft’s acoustic signature using the Impedance Plane Formulation and the Fast Field Program. The experimental methodology includes the measurement of lowaltitude aircraft fly-by acoustic spectra as reference data and high-altitude aircraft fly-by acoustic spectra as target data for the acoustic propagation models. It is shown that the selected acoustic atmospheric propagation models are able to accurately estimate certain frequency components of the acoustic spectra for low and high altitudes of flight of the Convair 580 aircraft. Signature aircraft tones located at 70 Hz and 140 Hz are identified by the models and accurately estimated in location and amplitude. The models’ performance is evaluated to a range of 8 km in the horizontal plane and 3.66 km in altitude; the models exhibited reduced performance as a function of distance. A rudimentary subjective analysis was completed to inform future work; results were consistent with the objective analysis.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.560
Threshold uncertainty score0.523

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 head0.003
GPT teacher head0.176
Teacher spread0.173 · 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