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Record W4211206864 · doi:10.1017/9781108601740.005

Surface Waves, Head Waves, and Normal Modes

2019· book-chapter· en· W4211206864 on OpenAlexaff
Edward S. Krebes

Bibliographic record

VenueCambridge University Press eBooks · 2019
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRayleigh waveLove waveMechanical waveLongitudinal waveSurface waveGravity wavePhysicsWave propagationLamb wavesInternal waveShear wavesGeologyMechanicsOpticsShear (geology)

Abstract

fetched live from OpenAlex

Surface waves are waves that are essentially confined to the surface of the Earth, in that their amplitudes decrease with depth in some way. This chapter covers the basic theory of such waves, as well as the theory of normal modes, which are waves confined to a surface layer, and are similar to waves in an organ pipe or the motions of a vibrating string fixed at one end or both ends, for instance. Coverage includes Rayleigh waves, which are a combination of compressional and shear waves and produce ground motions parallel to the vertical plane in which the wave is traveling, and are a dominant type of earthquake wave; and Love waves, which are shear waves that produce ground motions in the horizontal plane, and head waves, which are upgoing waves produced by critically refracted transmitted waves. Waves along an interface between two solids are also discussed. Also discussed are how the different frequencies in the wave pulse travel at different wave speeds, and the corresponding concepts of phase and group velocity. In addition, other types of normal modes are covered, as well as an interesting wave phenomenon known as the Airy phase.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.030
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0300.016

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 head0.021
GPT teacher head0.188
Teacher spread0.166 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations1
Published2019
Admission routes1
Has abstractyes

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