scholarly journals Quantitative chemical mapping of plagioclase as a tool for the interpretation of volcanic stratigraphy: an example from Saint Kitts, Lesser Antilles

2021 ◽  
Author(s):  
Oliver Higgins ◽  
Tom Sheldrake ◽  
Luca Caricchi
Keyword(s):  
Lesser Antilles ◽  
Chemical Mapping ◽  
Volcanic Stratigraphy ◽  
Quantitative Chemical

scholarly journals Quantitative chemical mapping of plagioclase as a tool for the interpretation of volcanic stratigraphy: an example from Saint Kitts, Lesser Antilles

2021 ◽  
Vol 83 (8) ◽  
Author(s):  
Oliver Higgins ◽  
Tom Sheldrake ◽  
Luca Caricchi
Keyword(s):  
Mineral Chemistry ◽  
Lesser Antilles ◽  
Chemical Mapping ◽  
Stratigraphic Sequence ◽  
Volcanic Stratigraphy ◽  
Chemical Zoning ◽  
Magmatic Processes ◽  
Quantitative Understanding ◽  
Reproducible Method ◽  
Textural Parameters

AbstractEstablishing a quantitative link between magmatic processes occurring at depth and volcanic eruption dynamics is essential to forecast the future behaviour of volcanoes, and to correctly interpret monitoring signals at active centres. Chemical zoning in minerals, which captures successive events or states within a magmatic system, can be exploited for such a purpose. However, to develop a quantitative understanding of magmatic systems requires an unbiased, reproducible method for characterising zoned crystals. We use image segmentation on thin section scale chemical maps to segment textural zones in plagioclase phenocrysts. These zones are then correlated throughout a stratigraphic sequence from Saint Kitts (Lesser Antilles), composed of a basal pyroclastic flow deposit and a series of fall deposits. Both segmented phenocrysts and unsegmented matrix plagioclase are chemically decoupled from whole rock geochemical trends, with the latter showing a systematic temporal progression towards less chemically evolved magma (more anorthitic plagioclase). By working on a stratigraphic sequence, it is possible to track the chemical and textural complexity of segmented plagioclase in time, in this case on the order of millennia. In doing so, we find a relationship between the number of crystal populations, deposit thickness and time. Thicker deposits contain a larger number of crystal populations, alongside an overall reduction in this number towards the top of the deposit. Our approach provides quantitative textural parameters for volcanic and plutonic rocks, including the ability to measure the amount of crystal fracturing. In combination with mineral chemistry, these parameters can strengthen the link between petrology and volcanology, paving the way towards a deeper understanding of the magmatic processes controlling eruptive dynamics.

scholarly journals Quantitative Chemical Mapping of Anisotropic Molecular Distributions on Gold Nanorods

2019 ◽  
Vol 25 (S2) ◽  
pp. 1772-1773
Author(s):  
Blanka E. Janicek ◽  
Joshua G. Hinman ◽  
Jordan H. Hinman ◽  
Sang hyun Bae ◽  
Meng Wu ◽  
...  
Keyword(s):  
Gold Nanorods ◽  
Chemical Mapping ◽  
Quantitative Chemical

Nanoscale Quantitative Chemical Mapping of Conjugated Polymer Blends

Nano Letters ◽  
2006 ◽  
Vol 6 (6) ◽  
pp. 1202-1206 ◽  
Author(s):  
Christopher R. McNeill ◽  
Benjamin Watts ◽  
Lars Thomsen ◽  
Warwick J. Belcher ◽  
Neil C. Greenham ◽  
...  
Keyword(s):  
Polymer Blends ◽  
Conjugated Polymer ◽  
Chemical Mapping ◽  
Quantitative Chemical

Diffusion and Interdiffusion in Multilayered Semiconductor Systems

1989 ◽  
Vol 163 ◽  
Author(s):  
A. Ourmazd ◽  
Y. Kim ◽  
M. Bode
Keyword(s):  
Thermal Treatment ◽  
Ion Implantation ◽  
Point Defects ◽  
Atomic Level ◽  
Chemical Mapping ◽  
Initial Concentration ◽  
Subsequent Thermal Treatment ◽  
Native Point Defects ◽  
Mapping Techniques ◽  
Quantitative Chemical

AbstractWe apply quantitative chemical mapping techniques to study thermal interdiffusion and ion-implantation induced intermixing at single heterointerfaces at the atomic level. Our results show thermal interdiffusion to be strongly depth dependent. This is related to the need for the presence of native point defects (interstitials and vacancies) to bring about interdiffusion. Since their initial concentration in the bulk is negligible, the point defects must be injected at the surface and transported to the interface for interdiffusion to occur. In the case of ion-implanted samples, we find the passage of a single energetic ion through a sample at 77 K causes significant intermixing, even when the sample receives no subsequent thermal treatment.

Quantitative chemical mapping: Spatial resolution

1992 ◽  
Vol 47 (1-3) ◽  
pp. 167-172 ◽  
Author(s):  
F.H. Baumann ◽  
M. Bode ◽  
Y. Kim ◽  
A. Ourmazd
Keyword(s):  
Spatial Resolution ◽  
Chemical Mapping ◽  
Quantitative Chemical

Quantitative Chemical Mapping of Engineered Interfaces in Quaternary III-V Semiconductor Heterostructures Using Phase Retrieval High Resolution Transmission Electron Microscopy

2008 ◽  
Vol 14 (S2) ◽  
pp. 408-409
Author(s):  
K Mahalingam ◽  
HJ Haugan ◽  
GJ Brown ◽  
KG Eyink
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
New Mexico ◽  
High Resolution ◽  
Phase Retrieval ◽  
Semiconductor Heterostructures ◽  
Chemical Mapping ◽  
Transmission Electron ◽  
Quantitative Chemical

Extended abstract of a paper presented at Microscopy and Microanalysis 2008 in Albuquerque, New Mexico, USA, August 3 – August 7, 2008

Quantitative chemical mapping of sodium acrylate- and N-vinylpyrrolidone-enhanced alginate microcapsules

2005 ◽  
Vol 16 (5) ◽  
pp. 611-627 ◽  
Author(s):  
Tohru Araki ◽  
Adam P. Hitchcock ◽  
Feng Shen ◽  
Patricia L. Chang ◽  
Maggie Wang ◽  
...  
Keyword(s):  
Sodium Acrylate ◽  
Chemical Mapping ◽  
Quantitative Chemical

Quantitative chemical mapping: Spatial resolution

1991 ◽  
Vol 49 ◽  
pp. 476-477
Author(s):  
A. Ourmazd ◽  
F.H. Baumann ◽  
M. Bode ◽  
Y. Kim
Keyword(s):  
Pattern Recognition ◽  
Information Content ◽  
Spatial Resolution ◽  
Error Function ◽  
Chemical Imaging ◽  
Diffuse Interface ◽  
Chemical Mapping ◽  
Lattice Image ◽  
Sample Composition ◽  
Quantitative Chemical

Quantitative Chemical Mapping is an electron microscopic technique capable of revealing compositional variations in crystalline materials. It combines chemical lattice imaging which maps the sample composition, with vector pattern recognition, which quantifies the local information content of the image to measure the local sample composition. Here we briefly address the spatial resolution of this technique, assuming complete familiarity with its theoretical underpinnings.In chemical imaging, we are concerned with the way that a compositional inhomogeneity is imaged under conditions appropriate for chemical sensitivity, and how the pattern recognition algorithm extracts information from a chemical lattice image. The problem can be formulated as follows. Given a “chemical impulse” of a specific shape, such as a column of Al atoms imbedded in GaAs (approximating a δ-function), an abrupt interface (a θ-function), or a diffuse interface (e.g., with an error function profile), what is the shape of the impulse on the analyzed chemical image? Or, alternatively, what region of the sample contributes to the information content of an image unit cell? By reciprocity, these two formulations are equivalent.

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