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Record W4391519143 · doi:10.1016/j.lithos.2024.107526

Geometry of dissolution trigons on diamonds: Implications for the composition of fluid and kimberlite magma emplacement

2024· article· en· W4391519143 on OpenAlexafffundabout
Yana Fedortchouk, Zhuoyuan Li, Ingrid Chinn, Alexandrina Fülöp

Bibliographic record

VenueLithos · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsDe Beers (Canada)Dalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsKimberliteGeologyGeochemistryMagmatismMagmaMantle (geology)DissolutionPyroclastic rockMineralogyPetrologyVolcanoTectonicsChemical engineering

Abstract

fetched live from OpenAlex

Volatiles, H2O and CO2, play an important role in kimberlite magmatism. They facilitate kimberlite production in the mantle by lowering the solidus, drive the fast ascent of kimberlites, fuel their explosive eruptions, and affect preservation of diamonds in kimberlite magma. However, the volatile contents of kimberlite magmas and variations between different kimberlite localities are poorly constrained. In this study we use a novel way to address this problem by utilizing etch pits on diamonds developed during the interaction with kimberlite magma. Trigonal etch pits (trigons) are the most common dissolution features on diamonds. We use precise measurements of their size and dimensions obtained with an Atomic Force Microscope (AFM) to examine and compare crystallization conditions in seven kimberlites from Northwest Territories, Canada. Parameters of 260 trigons on 39 natural diamonds are compared to the parameters of trigons developed on diamonds in controlled experiments from previous studies to assess XCO2 = [CO2/(CO2 + H2O)], mol % in magmatic fluid, level of volatile saturation in the melt, and crystallization temperature of kimberlites. The solubility model for H2O and CO2 in kimberlite-like melts of Moussallam et al. (2016) is used to discuss the effect of these parameters on kimberlite eruption processes. We found significant variability in the shape and size of the trigons on diamonds from different kimberlite lithologies and locations. Diamonds from kimberlite units comprised of resedimented pyroclastic material show predominantly pointed-bottomed trigons and evolution of small flat-bottomed into larger point-bottomed trigons. These features suggest XCO2 > 0.7 and imply shallow exsolution of volatiles. Diamonds from primary pyroclastic kimberlite units display mostly flat-bottomed trigons and a distinct trend from small point-bottomed to larger flat-bottomed trigons indicating XCO2 < 0.5 and greater depths of volatile exsolution with perhaps partial escape of the fluid. Finally extrusive and hypabyssal kimberlite units host diamonds with very complex and irregular trigons, the flat-bottomed shape of which may also indicate H2O-rich magma and exsolution of the fluid at even greater depths with higher likelihood of fluid loss during the ascent. We use the diameter of the trigons to estimate crystallization temperature of the studied kimberlites. The obtained range of 1150 °C to 1250 °C agrees well with previous estimates based on olivine-spinel geothermometry (TOl-Sp) (Fedortchouk and Canil, 2004). Kimberlites with the highest TOl-Sp host diamonds with larger trigons. Our results confirm the important role of H2O and CO2 content of kimberlite magma in controlling the depth of fluid exsolution, reaching the magma fragmentation threshold, the style of magma eruption, and lithological infill of kimberlite pipes.

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 score0.171
Threshold uncertainty score0.380

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 head0.016
GPT teacher head0.244
Teacher spread0.227 · 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

Citations6
Published2024
Admission routes3
Has abstractyes

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