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Observations of PKP(DF) and PKP(BC) across the United Kingdom: implications for studies of attenuation in the Earth's core

2000· article· en· W2034650858 on OpenAlexaff
David Bowers, D. McCormack, D. S. Sharrock

Bibliographic record

VenueGeophysical Journal International · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsMantle (geology)AttenuationGeologyAmplitudeInner coreSeismologyScatteringGeophysicsPhysicsOptics

Abstract

fetched live from OpenAlex

We demonstrate that PKP(DF) and PKP(BC), recorded by a network of broad‐band stations in the United Kingdom from earthquakes in the southwest Pacific, show considerable spatial variation in amplitude and frequency content. We suggest that strong heterogeneity in apparent attenuation at the base of the mantle related to ultra‐low‐velocity zones (ULVZ) beneath the southwest Pacific and/or possibly to the east of Iceland may explain the anomalous observations of DF and BC across the UK. The length scale of attenuating ULVZs required to explain the observations is similar to that estimated recently for a southwest Pacific ULVZ by Wen & Helmberger (1998), that is, low‐wave‐speed (low apparent Qα) regions of 80 km height separated by steep‐sided ‘valleys’ of width 40 km with typical lowermost mantle wave speeds (high apparent Qα). If the apparent attenuation is due to anelasticity alone, disregarding the possible contribution from scattering, the minimum ULVZ Qα values required to explain the amplitude of 2 Hz BC are about 15–30, consistent with the interpretation of the ULVZs as zones of partial melt at the base of the mantle. This suggests that estimates of inner core anelastic attenuation, inferred from DF/BC spectral ratios, will be biased if DF and/or BC cross ULVZs at the base of the mantle under the source and/or receiver. Further, the presence of attenuating ULVZs may explain the large scatter in estimates of inner core Qα from global studies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.177

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 head0.138
GPT teacher head0.353
Teacher spread0.215 · 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 designObservational
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

Citations14
Published2000
Admission routes1
Has abstractyes

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