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Record W1822456604

Impact-generated hydrothermal alteration on Mars: clay minerals, oxides, zeolites, and more

2009· article· en· W1822456604 on OpenAlexaboutno aff
S. P. Schwenzer, D. A. Kring

Bibliographic record

VenueOpen Research Online (The Open University) · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsnot available
Fundersnot available
KeywordsNoachianImpact craterGeologyMars Exploration ProgramGeochemistryHesperianCrustHydrothermal circulationMartianBasaltAstrobiologyMineralogy
DOInot available

Abstract

fetched live from OpenAlex

In the Noachian, Mars’ crust was deeply affected by impact crater gardening, and subsequent hydrothermal alteration. While water was present in the Martian crust, frequent impacts provided prominent heat sources that drove hydrothermal systems. Those systems were scattered randomly over the planet’s surface and variable in size, but generally spanned the diameter of any ≥10 km complex crater. These systems were also deep reaching and long-lived with central crater uplifts and crater modification zones affected by the most intense water flow. Because circulating water driven by a temperature gradient changes the thermochemical status of a system, mineralogical reactions inevitably took place. Similar mineralogical consequences have been documented in terrestrial impact-generated hydothermal systems. Approximately half of all known impact structures on Earth show hydrous alteration phases produced by the interaction of water with a melt sheet and/or hydrothermal systems that penetrated the crust beneath the crater floor. Immense systems have been documented in drill cores from Earth’s largest impact structures, such as the Chicxulub crater (Yucatán, Mexico) and the Sudbury structure (Ontario, Canada). As we have shown earlier for the basaltic crust of Mars, thermochemical changes caused by circulation of heated formation brines mainly result in the crystallization of sheet silicates (serpentine, chlorite, nontronite, and kaolinite), amphiboles, oxides and hydroxides (magnetite, hematite, diaspore), and additional minor phases. Our results compare favorably with those from sattelite-based spectroscopic measurements of the Martian surface by OMEGA and CRISM (aboard the European Mars Express and U.S. Mars Reconnaissance Orbiter, respectively). They report many of the same minerals, amongst them several smectites and micas – such as kaolinite, Fe/Mgsmectite, saponite, illite/muscovite, and chlorite – but also hydrous silica, zeolite, and carbonate. Potential testimony of impact-generated hydrothermal systems has been found in three Martian craters so far: hydrous phases are located in central peaks and inner crater walls in a ~100 km diameter crater in Mawrth Vallis, a crater of similar size in Terra Meridiani, and an ~20 km diameter crater in the Western Isidis region. In addition to producing mineral assemblages similar to those being observed on Mars, our calculations constrain formation conditions. Our results suggest that alteration assemblages are largely controlled by the water to rock ratio (W/R) and temperature, while the pH is bufferd by the precipitating and dissolved species. Our previous studies showed that three sheet silicates, which also have been found on Mars (chlorite, nontronite, kaolinite), point to specific formation conditions: Chlorite is indicative of intermediate to low W/R and occurs over the whole temperature range. The clay minerals nontronite and kaolinite indicate intermediate and high W/R, respectively. Moreover, nontronite forms below 250 °C only. While our previous studies focussed on the parameters pressure, temperature, and W/R, in this study we explore the influence of host rock variability on the resulting alteration assemblages.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
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 head0.082
GPT teacher head0.365
Teacher spread0.283 · 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 designNot applicable
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

Citations7
Published2009
Admission routes1
Has abstractyes

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