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Record W7133549716 · doi:10.48336/157

Moho structure of northeastern Canada using receiver function analysis

2025· other· en· W7133549716 on OpenAlexaboutno aff
Zahra Hossein Esfahani

Bibliographic record

VenueOpen MIND · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsReceiver functionCratonTectonicsCrustArcheanFibrous jointProterozoicAzimuth

Abstract

fetched live from OpenAlex

This study investigates variations in Mohorovi£i¢discontinuity (Moho) depth across the northeastern segment of the Canadian Shield using the receiver function (RF) technique. The study area encompasses a range of geologically distinct terranes, including both Archean and Proterozoic domains, making it an ideal setting for investigating the evolution of the continental crust from the Paleoarchean era to the emergence of plate tectonic activity in the Paleoproterozoic. Central to this investigation is the Trans-Hudson Orogen (THO) — a Paleoproterozoic suture zone situated between the Superior Craton in the southeast and the Rae and Hearne Cratons in the northwest. This region retains a complex geological history that offers key insights into processes of crustal growth and continental assembly. We utilize teleseismic earthquakes with magnitudes (M > 5.5) recorded by both permanent and temporary seismic stations to compute Receiver Functions (RF) and estimate Moho depth beneath each station. While the standard RF method remains central to this work, we compare our findings with previous studies and models (e.g., Crust 1.0) to validate our interpretations. Although we attempted to assess azimuthal variation in Moho depth, our efforts were limited by the uneven azimuthal distribution of incoming seismic waves. This restricted our ability to reliably separate directional effects such as dipping interfaces or seismic anisotropy, particularly in geologically complex areas like the Trans-Hudson Orogen. Despite the methodological strengths, our analysis is constrained mainly by the limited azimuthal distribution of seismic events, which hampers our ability to robustly resolve directional variations in Moho depth and distinguish between seismic anisotropy and structural dips. Moho depth estimates in the Superior Province (Archean) range from 34 to 40 km, reflecting relatively simple crustal structure. In contrast, the THO exhibits more variation, with Moho depths between 35 and 43 km. While some of our stations reveal sharp receiver function peaks indicative of well-defined Moho boundaries, others display more complex or ambiguous patterns—likely influenced by uneven data coverage, crustal anisotropy, topographic variations in the Moho, or differences in its nature, ranging from sharp to gradational transitions. Regional patterns also emerge from our analysis. In Greenland, Moho depth increases from north to south, while in the Canadian Shield, more spatially variable trends are evident. Overall, this work demonstrates the value of receiver functions in probing crustal structure across a geologically complex region, while also emphasizing the importance of dense seismic coverage and integrated methodologies. Future studies would benefit from the inclusion of complementary techniques (e.g., joint inversion, gravity or magnetotelluric (MT) surveys) to better resolve anisotropic features and refine Moho depth estimates in areas with limited seismic data.

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 score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.274
Teacher spread0.255 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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