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Record W3044725049

Receiver Function Analysis of Crustal and Upper Mantle Layering Across the Western Superior Province

2011· article· en· W3044725049 on OpenAlexaboutno aff
Morounkeji Olaleye

Bibliographic record

VenueMspace (University of Manitoba) · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsLayeringReceiver functionGeologyMantle (geology)SeismologyGeochemistryLithosphereTectonics
DOInot available

Abstract

fetched live from OpenAlex

The Superior Province is the Earth’s largest Archean craton. Its western portion in Canada represents the nucleus of the North American continent, and has a lineated structure with well-preserved supracrustal rock sequences, mineral resources, and greenstone-granite terranes. Its strong east-west tectonic fabric is most commonly attributed to the formation and widespread accretion of island arcs and accretionary prisms ~ 2.6 Ga ago (Lucas et al., 1998). The Superior Province is underlain by lithospheric mantle that exhibits strong regional variations in anisotropy and velocity structure (Darbyshire et al., 2007). The stratigraphy, velocity structure and thickness of the crust and upper-mantle beneath the western Superior Province, were examined through the analysis of seismic discontinuities on the radial and transverse components of P-wave receiver functions. Global earthquakes that occurred between 2003 and 2008 and recorded by 13 broadly spaced FedNor/POLARIS and CNSN three-component broadband seismic stations across western Ontario were used to create receiver functions. Receiver functions were calculated using a panel deconvolution approach (using inter-trace regularization constraints) to improve signal-to-noise ratio. Inversion for lithospheric parameters was carried out through a directed Monte-Carlo search method that uses the neighbourhood algorithm of Sambridge (1999). The receiver function data show indications of crustal and mantle layering. Generally, it was observed that in the western Superior Province, seismic stations in the southern portion of the study area (south of ~ 51° N): LDIO, EPLO, PNPO, TIMO and NANO reveal a uniform crust, but a complicated and layered mantle; whereas stations in the northern portion of the study area (north of ~ 51° N): KASO, RLKO, SILO, VIMO and PKLO reveal a more uniform mantle layer, but a stratified crust. The only exception is ATKO, which displays dominant crustal layering, but is located south of ~ 51° N. Other observations include: crustal discontinuities which lose continuity laterally, possibly due to subducting structures and/or regions of velocity gradients, and lobes of opposite polarities on the radial and transverse components of the receiver functions, which are indicative of either azimuthal anisotropy or dipping interfaces. Inversion of the receiver function data showed: 1) that crustal thickness beneath the western Superior Province varies between 39 and 46 km, similar to results from other studies such as Darbyshire et al. (2007), 2) a ubiquitous, anisotropic 15-20 km thick sub-Moho layer similar to results from studies such as Musacchio et al. (2004) and 3) two 20-25 km thick, anisotropic uppermost mantle layers observed only beneath certain stations. Modeling of the data for dip and anisotropy showed that observed back-azimuthal variation at stations with dominant crustal layering, is mainly in response to NE-SW dipping layer interfaces; while in the mantle, inherent azimuthal anisotropy is interpreted to result from frozen fabric due to regional tectonic stresses. Unlike other geophysical studies (Ferguson et al., 2005; Frederiksen et al., 2007; Darbyshire and Lebedev, 2009) in the western Superior Province that reflect the Province’s regional E-W fabric, the NE-SW anisotropic results from this study are in response to small-scale, local structures.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.932

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.188
Teacher spread0.169 · 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 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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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