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  • 1
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] The report7 of diverse suites of mafic and ultramafic xenoliths, the best evidence for heterogeneity in the Scottish mantle,.prompted investigation of the chemical constitution., of the mantle below the Lewisiah crust. We now report'results for the Loch Roag monchiquite dyke, oi" Tertiary age (M. ...
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Contributions to mineralogy and petrology 117 (1994), S. 66-75 
    ISSN: 1432-0967
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences
    Notes: Abstract Variation in the primary textures of “Cordilleran” granitic rocks is described relative to three identifiable stages of the crystallisation interval; namely: (1) crystallisation in suspension; (2) growth of a touching crystal framework; (3) interstitial crystallisation. Crystals that initially grow in isolation will start to impinge and form small clusters as crystallisation proceeds and the volume of solid material increases, eventually forming a continuous interconnected crystal framework. Subsequent crystallisation involves solidification of the melt occupying the interstices of the framework, and therefore shows similarities to the way in which the porosity occludes in sedimentary systems. A case study of textural development in Cordilleran granitic rocks from the zoned Linga superunit of the Peruvian Coastal Batholith, reveals that compositional zonation from granodiorite through to syenogranite is accompanied by a systematic variation in the textures, specifically those of the three felsic phases (plagioclase, quartz and alkali feldspar). Plagioclase was the first phase to appear on the liquidus, and was joined by the other two phases as crystallisation proceeded and the melt evolved. The melt fraction at which quartz and alkali feldspar started to crystallise influenced the early growth of plagioclase, and the way in which the texture developed through each stage of the crystallisation interval. The geometry of plagioclase progressively changes from a touching framework of crystals in the granodiorite, to small aggregates or isolated crystals suspended in an equant mosaic of the other felsic phases in the syenogranite. This variation can be explained by an earlier evolution of the melt to the cotectic (i.e. at higher melt fractions) as the rocks become more acidic, and hence a greater contribution of alkali feldspar and quartz to the growth of the framework at the expense of plagioclase and the mafic phases. Textural observations are comparable to the crystallisation pathways of the felsic phases modelled in the quaternary An-Ab-Or-Qz system from the bulk compositions. All compositions lie in the plagioclase volume, and evolved to three-phase saturation on the cotectic via either the quartz/plagioclase divariant surface (granodiorites) or the alkali feldspar/plagioclase divariant surface (monzogranite and syenogranite).
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Contributions to mineralogy and petrology 125 (1996), S. 60-74 
    ISSN: 1432-0967
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences
    Notes: Abstract  Characterisation and analysis of the spatial distribution pattern (SDP) of grains or crystals in rocks is potentially a powerful technique which can be used to constrain the processes which operate in the formation of rocks. A method to quantify the SDP of grains in thin section is presented. The distance betwen the centre of a grain and the centre of its nearest neighbour is calculated for all the grains in the sample area to produce a distribution of distances that characterises the spatial pattern of grains in the rock. This distribution is then normalised to a random distribution of points with the same population density to give a descriptive value, R. Values of R for rock samples are plotted against porosity (modal abundance of other phases in igneous and metamorphic rocks) to characterise the SDP. The SDP of randomly packed distributions of equal size spheres varies systematically with porosity, producing a line on a porosity versus R plot, termed the random sphere distribution line (RSDL). Rocks which plot above the RSDL have an ordered SDP and those that plot below, a clustered SDP. The effects of variation in grain packing order, grain sorting, compaction and random crystallisation (overgrowth) on determined R values were investigated using a combination of 3-D sphere models and 2-D texture models. The maximum possible value of R is 2.148, corresponding to a perfect section through hexagonal/cubic close packing of grains. The minimum value of R is dependent on the proportion of grains in the sample volume and may be as low as 1.2, for a sample volume with 30% grains which are clustered. Variations in size sorting can cause R to vary by approximately 0.25. Mechanical compaction of a loose framework of grains results in a higher packing order and an increase in R. Continued compaction creates a fabric in the texture and R decreases as cluster patterns are developed perpendicular to the principal stress. The overgrowth of grains in a touching framework alters the location of the geometric grain centre as the crystal shape changes, leading to an increase in R as porosity decreases. Results reveal that grain sorting, compaction and grain overgrowth produce different R versus porosity relationships which can be identified in, and therefore used to constrain, the relative importance of these processes in rock samples.
    Type of Medium: Electronic Resource
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  • 4
    Publication Date: 2017-10-30
    Description: Digitised outlines of a serially sectioned K-feldspar grain from a Cordilleran granitoid have been analysed for their fractal dimension. Although the grain boundary outlines are not truly fractal in the sense of Mandlebrot (1982), they do show a self-similarity over a statistically definable range, and can thus be assigned a dimensional value between 1 and 2. Each grain section has fractal dimension (D) 〉 1, ranging from 1.21-1.30. Scatter within the data sets have been used to define separate (pseudo)fractal elements that further characterise each grain outline. The development of fractal geometries within a particular granitoid can be broadly related to crystallisation within Ab-An-Or-Qz space. For example, Cordilleran T-type granitoids that crystallise from An-rich liquids may be expected to show both Euclidean and fractal geometries, while minimum melts and 'S'-type granites that crystallise in broadly eutectic proportions will have textures dominated by (pseudo)fractal grain outlines. The non-integer values that describe grain shape may also be useful in estimating the total grain (porosity) volume within the rock.
    Type: Article , PeerReviewed
    Format: text
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