Mapping texture domains in quartzite microstructures
Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Heilbronner, Renée [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2010 |
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| Schlagwörter: |
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| Anmerkung: |
© Geological Society of India 2010 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of the Geological Society of India - New Delhi : Springer India, 1959, 75(2010), 1 vom: Jan., Seite 160-170 |
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| Übergeordnetes Werk: |
volume:75 ; year:2010 ; number:1 ; month:01 ; pages:160-170 |
| Links: |
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| DOI / URN: |
10.1007/s12594-010-0005-0 |
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| Katalog-ID: |
SPR026201488 |
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| 245 | 1 | 0 | |a Mapping texture domains in quartzite microstructures |
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| 520 | |a Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results are discussed. One sample is a quartzite layer from the limb of a small scale fold in the Suretta Nappe (ValAvers, Switzerland) which was deformed under upper greenschist conditions, the other is a sample of Black Hills quartzite, experimentally sheared in dislocation creep. Using the method of computer-integrated polarization microscopy (CIP), c-axis orientation and misorientation images were prepared and pole figures were calculated from the azimuth and inclination images. Misorientation images were prepared and analyzed in a number of ways: (1) In as much as misorientation images constitute texture maps, they visualize the geometry and spatial distribution of texture domains; they show if the texture domains are spatially coherent, i.e., if the rock is domainal or not. (2) Thresholded misorientation images allow the calculation of the volume fraction of texture domains, which is a means of estimating the texture intensification independent of the shape of the pole figure skeleton. (3) From the ACF of thresholded misorientation images the average grain size and shape in those domains can be derived. (4) From the shape of the domains (if they exist as spatial entities), the strain or strain partitioning as well as the rheological contrast can be estimated. The paper seeks to demonstrate the importance of localized texture analysis. The aim is to discuss the quality of the results that can be obtained. The samples were chosen because one is domainal the other one is not. A full discussion of the geological implications of the results of the analysis is outside the scope of this contribution. | ||
| 650 | 4 | |a Quartz microstructure |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Image analysis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Orientation imaging |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Texture domains |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Pole density |7 (dpeaa)DE-He213 | |
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10.1007/s12594-010-0005-0 doi (DE-627)SPR026201488 (SPR)s12594-010-0005-0-e DE-627 ger DE-627 rakwb eng Heilbronner, Renée verfasserin aut Mapping texture domains in quartzite microstructures 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Geological Society of India 2010 Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results are discussed. One sample is a quartzite layer from the limb of a small scale fold in the Suretta Nappe (ValAvers, Switzerland) which was deformed under upper greenschist conditions, the other is a sample of Black Hills quartzite, experimentally sheared in dislocation creep. Using the method of computer-integrated polarization microscopy (CIP), c-axis orientation and misorientation images were prepared and pole figures were calculated from the azimuth and inclination images. Misorientation images were prepared and analyzed in a number of ways: (1) In as much as misorientation images constitute texture maps, they visualize the geometry and spatial distribution of texture domains; they show if the texture domains are spatially coherent, i.e., if the rock is domainal or not. (2) Thresholded misorientation images allow the calculation of the volume fraction of texture domains, which is a means of estimating the texture intensification independent of the shape of the pole figure skeleton. (3) From the ACF of thresholded misorientation images the average grain size and shape in those domains can be derived. (4) From the shape of the domains (if they exist as spatial entities), the strain or strain partitioning as well as the rheological contrast can be estimated. The paper seeks to demonstrate the importance of localized texture analysis. The aim is to discuss the quality of the results that can be obtained. The samples were chosen because one is domainal the other one is not. A full discussion of the geological implications of the results of the analysis is outside the scope of this contribution. Quartz microstructure (dpeaa)DE-He213 Image analysis (dpeaa)DE-He213 Orientation imaging (dpeaa)DE-He213 Texture domains (dpeaa)DE-He213 Pole density (dpeaa)DE-He213 Enthalten in Journal of the Geological Society of India New Delhi : Springer India, 1959 75(2010), 1 vom: Jan., Seite 160-170 (DE-627)60666078X (DE-600)2508930-4 0974-6889 nnns volume:75 year:2010 number:1 month:01 pages:160-170 https://dx.doi.org/10.1007/s12594-010-0005-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2010 1 01 160-170 |
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10.1007/s12594-010-0005-0 doi (DE-627)SPR026201488 (SPR)s12594-010-0005-0-e DE-627 ger DE-627 rakwb eng Heilbronner, Renée verfasserin aut Mapping texture domains in quartzite microstructures 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Geological Society of India 2010 Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results are discussed. One sample is a quartzite layer from the limb of a small scale fold in the Suretta Nappe (ValAvers, Switzerland) which was deformed under upper greenschist conditions, the other is a sample of Black Hills quartzite, experimentally sheared in dislocation creep. Using the method of computer-integrated polarization microscopy (CIP), c-axis orientation and misorientation images were prepared and pole figures were calculated from the azimuth and inclination images. Misorientation images were prepared and analyzed in a number of ways: (1) In as much as misorientation images constitute texture maps, they visualize the geometry and spatial distribution of texture domains; they show if the texture domains are spatially coherent, i.e., if the rock is domainal or not. (2) Thresholded misorientation images allow the calculation of the volume fraction of texture domains, which is a means of estimating the texture intensification independent of the shape of the pole figure skeleton. (3) From the ACF of thresholded misorientation images the average grain size and shape in those domains can be derived. (4) From the shape of the domains (if they exist as spatial entities), the strain or strain partitioning as well as the rheological contrast can be estimated. The paper seeks to demonstrate the importance of localized texture analysis. The aim is to discuss the quality of the results that can be obtained. The samples were chosen because one is domainal the other one is not. A full discussion of the geological implications of the results of the analysis is outside the scope of this contribution. Quartz microstructure (dpeaa)DE-He213 Image analysis (dpeaa)DE-He213 Orientation imaging (dpeaa)DE-He213 Texture domains (dpeaa)DE-He213 Pole density (dpeaa)DE-He213 Enthalten in Journal of the Geological Society of India New Delhi : Springer India, 1959 75(2010), 1 vom: Jan., Seite 160-170 (DE-627)60666078X (DE-600)2508930-4 0974-6889 nnns volume:75 year:2010 number:1 month:01 pages:160-170 https://dx.doi.org/10.1007/s12594-010-0005-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2010 1 01 160-170 |
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10.1007/s12594-010-0005-0 doi (DE-627)SPR026201488 (SPR)s12594-010-0005-0-e DE-627 ger DE-627 rakwb eng Heilbronner, Renée verfasserin aut Mapping texture domains in quartzite microstructures 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Geological Society of India 2010 Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results are discussed. One sample is a quartzite layer from the limb of a small scale fold in the Suretta Nappe (ValAvers, Switzerland) which was deformed under upper greenschist conditions, the other is a sample of Black Hills quartzite, experimentally sheared in dislocation creep. Using the method of computer-integrated polarization microscopy (CIP), c-axis orientation and misorientation images were prepared and pole figures were calculated from the azimuth and inclination images. Misorientation images were prepared and analyzed in a number of ways: (1) In as much as misorientation images constitute texture maps, they visualize the geometry and spatial distribution of texture domains; they show if the texture domains are spatially coherent, i.e., if the rock is domainal or not. (2) Thresholded misorientation images allow the calculation of the volume fraction of texture domains, which is a means of estimating the texture intensification independent of the shape of the pole figure skeleton. (3) From the ACF of thresholded misorientation images the average grain size and shape in those domains can be derived. (4) From the shape of the domains (if they exist as spatial entities), the strain or strain partitioning as well as the rheological contrast can be estimated. The paper seeks to demonstrate the importance of localized texture analysis. The aim is to discuss the quality of the results that can be obtained. The samples were chosen because one is domainal the other one is not. A full discussion of the geological implications of the results of the analysis is outside the scope of this contribution. Quartz microstructure (dpeaa)DE-He213 Image analysis (dpeaa)DE-He213 Orientation imaging (dpeaa)DE-He213 Texture domains (dpeaa)DE-He213 Pole density (dpeaa)DE-He213 Enthalten in Journal of the Geological Society of India New Delhi : Springer India, 1959 75(2010), 1 vom: Jan., Seite 160-170 (DE-627)60666078X (DE-600)2508930-4 0974-6889 nnns volume:75 year:2010 number:1 month:01 pages:160-170 https://dx.doi.org/10.1007/s12594-010-0005-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2010 1 01 160-170 |
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10.1007/s12594-010-0005-0 doi (DE-627)SPR026201488 (SPR)s12594-010-0005-0-e DE-627 ger DE-627 rakwb eng Heilbronner, Renée verfasserin aut Mapping texture domains in quartzite microstructures 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Geological Society of India 2010 Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results are discussed. One sample is a quartzite layer from the limb of a small scale fold in the Suretta Nappe (ValAvers, Switzerland) which was deformed under upper greenschist conditions, the other is a sample of Black Hills quartzite, experimentally sheared in dislocation creep. Using the method of computer-integrated polarization microscopy (CIP), c-axis orientation and misorientation images were prepared and pole figures were calculated from the azimuth and inclination images. Misorientation images were prepared and analyzed in a number of ways: (1) In as much as misorientation images constitute texture maps, they visualize the geometry and spatial distribution of texture domains; they show if the texture domains are spatially coherent, i.e., if the rock is domainal or not. (2) Thresholded misorientation images allow the calculation of the volume fraction of texture domains, which is a means of estimating the texture intensification independent of the shape of the pole figure skeleton. (3) From the ACF of thresholded misorientation images the average grain size and shape in those domains can be derived. (4) From the shape of the domains (if they exist as spatial entities), the strain or strain partitioning as well as the rheological contrast can be estimated. The paper seeks to demonstrate the importance of localized texture analysis. The aim is to discuss the quality of the results that can be obtained. The samples were chosen because one is domainal the other one is not. A full discussion of the geological implications of the results of the analysis is outside the scope of this contribution. Quartz microstructure (dpeaa)DE-He213 Image analysis (dpeaa)DE-He213 Orientation imaging (dpeaa)DE-He213 Texture domains (dpeaa)DE-He213 Pole density (dpeaa)DE-He213 Enthalten in Journal of the Geological Society of India New Delhi : Springer India, 1959 75(2010), 1 vom: Jan., Seite 160-170 (DE-627)60666078X (DE-600)2508930-4 0974-6889 nnns volume:75 year:2010 number:1 month:01 pages:160-170 https://dx.doi.org/10.1007/s12594-010-0005-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2010 1 01 160-170 |
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10.1007/s12594-010-0005-0 doi (DE-627)SPR026201488 (SPR)s12594-010-0005-0-e DE-627 ger DE-627 rakwb eng Heilbronner, Renée verfasserin aut Mapping texture domains in quartzite microstructures 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Geological Society of India 2010 Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results are discussed. One sample is a quartzite layer from the limb of a small scale fold in the Suretta Nappe (ValAvers, Switzerland) which was deformed under upper greenschist conditions, the other is a sample of Black Hills quartzite, experimentally sheared in dislocation creep. Using the method of computer-integrated polarization microscopy (CIP), c-axis orientation and misorientation images were prepared and pole figures were calculated from the azimuth and inclination images. Misorientation images were prepared and analyzed in a number of ways: (1) In as much as misorientation images constitute texture maps, they visualize the geometry and spatial distribution of texture domains; they show if the texture domains are spatially coherent, i.e., if the rock is domainal or not. (2) Thresholded misorientation images allow the calculation of the volume fraction of texture domains, which is a means of estimating the texture intensification independent of the shape of the pole figure skeleton. (3) From the ACF of thresholded misorientation images the average grain size and shape in those domains can be derived. (4) From the shape of the domains (if they exist as spatial entities), the strain or strain partitioning as well as the rheological contrast can be estimated. The paper seeks to demonstrate the importance of localized texture analysis. The aim is to discuss the quality of the results that can be obtained. The samples were chosen because one is domainal the other one is not. A full discussion of the geological implications of the results of the analysis is outside the scope of this contribution. Quartz microstructure (dpeaa)DE-He213 Image analysis (dpeaa)DE-He213 Orientation imaging (dpeaa)DE-He213 Texture domains (dpeaa)DE-He213 Pole density (dpeaa)DE-He213 Enthalten in Journal of the Geological Society of India New Delhi : Springer India, 1959 75(2010), 1 vom: Jan., Seite 160-170 (DE-627)60666078X (DE-600)2508930-4 0974-6889 nnns volume:75 year:2010 number:1 month:01 pages:160-170 https://dx.doi.org/10.1007/s12594-010-0005-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 75 2010 1 01 160-170 |
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Enthalten in Journal of the Geological Society of India 75(2010), 1 vom: Jan., Seite 160-170 volume:75 year:2010 number:1 month:01 pages:160-170 |
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Enthalten in Journal of the Geological Society of India 75(2010), 1 vom: Jan., Seite 160-170 volume:75 year:2010 number:1 month:01 pages:160-170 |
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Heilbronner, Renée |
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Heilbronner, Renée misc Quartz microstructure misc Image analysis misc Orientation imaging misc Texture domains misc Pole density Mapping texture domains in quartzite microstructures |
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Mapping texture domains in quartzite microstructures Quartz microstructure (dpeaa)DE-He213 Image analysis (dpeaa)DE-He213 Orientation imaging (dpeaa)DE-He213 Texture domains (dpeaa)DE-He213 Pole density (dpeaa)DE-He213 |
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mapping texture domains in quartzite microstructures |
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Mapping texture domains in quartzite microstructures |
| abstract |
Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results are discussed. One sample is a quartzite layer from the limb of a small scale fold in the Suretta Nappe (ValAvers, Switzerland) which was deformed under upper greenschist conditions, the other is a sample of Black Hills quartzite, experimentally sheared in dislocation creep. Using the method of computer-integrated polarization microscopy (CIP), c-axis orientation and misorientation images were prepared and pole figures were calculated from the azimuth and inclination images. Misorientation images were prepared and analyzed in a number of ways: (1) In as much as misorientation images constitute texture maps, they visualize the geometry and spatial distribution of texture domains; they show if the texture domains are spatially coherent, i.e., if the rock is domainal or not. (2) Thresholded misorientation images allow the calculation of the volume fraction of texture domains, which is a means of estimating the texture intensification independent of the shape of the pole figure skeleton. (3) From the ACF of thresholded misorientation images the average grain size and shape in those domains can be derived. (4) From the shape of the domains (if they exist as spatial entities), the strain or strain partitioning as well as the rheological contrast can be estimated. The paper seeks to demonstrate the importance of localized texture analysis. The aim is to discuss the quality of the results that can be obtained. The samples were chosen because one is domainal the other one is not. A full discussion of the geological implications of the results of the analysis is outside the scope of this contribution. © Geological Society of India 2010 |
| abstractGer |
Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results are discussed. One sample is a quartzite layer from the limb of a small scale fold in the Suretta Nappe (ValAvers, Switzerland) which was deformed under upper greenschist conditions, the other is a sample of Black Hills quartzite, experimentally sheared in dislocation creep. Using the method of computer-integrated polarization microscopy (CIP), c-axis orientation and misorientation images were prepared and pole figures were calculated from the azimuth and inclination images. Misorientation images were prepared and analyzed in a number of ways: (1) In as much as misorientation images constitute texture maps, they visualize the geometry and spatial distribution of texture domains; they show if the texture domains are spatially coherent, i.e., if the rock is domainal or not. (2) Thresholded misorientation images allow the calculation of the volume fraction of texture domains, which is a means of estimating the texture intensification independent of the shape of the pole figure skeleton. (3) From the ACF of thresholded misorientation images the average grain size and shape in those domains can be derived. (4) From the shape of the domains (if they exist as spatial entities), the strain or strain partitioning as well as the rheological contrast can be estimated. The paper seeks to demonstrate the importance of localized texture analysis. The aim is to discuss the quality of the results that can be obtained. The samples were chosen because one is domainal the other one is not. A full discussion of the geological implications of the results of the analysis is outside the scope of this contribution. © Geological Society of India 2010 |
| abstract_unstemmed |
Abstract The paper is concerned with the combined application of two methods for microstructure and texture analysis: (1) optical orientation and misorientation imaging and (2) autocorrelation function (ACF). Using two different samples, the usefulness of the methods and the quality of the results are discussed. One sample is a quartzite layer from the limb of a small scale fold in the Suretta Nappe (ValAvers, Switzerland) which was deformed under upper greenschist conditions, the other is a sample of Black Hills quartzite, experimentally sheared in dislocation creep. Using the method of computer-integrated polarization microscopy (CIP), c-axis orientation and misorientation images were prepared and pole figures were calculated from the azimuth and inclination images. Misorientation images were prepared and analyzed in a number of ways: (1) In as much as misorientation images constitute texture maps, they visualize the geometry and spatial distribution of texture domains; they show if the texture domains are spatially coherent, i.e., if the rock is domainal or not. (2) Thresholded misorientation images allow the calculation of the volume fraction of texture domains, which is a means of estimating the texture intensification independent of the shape of the pole figure skeleton. (3) From the ACF of thresholded misorientation images the average grain size and shape in those domains can be derived. (4) From the shape of the domains (if they exist as spatial entities), the strain or strain partitioning as well as the rheological contrast can be estimated. The paper seeks to demonstrate the importance of localized texture analysis. The aim is to discuss the quality of the results that can be obtained. The samples were chosen because one is domainal the other one is not. A full discussion of the geological implications of the results of the analysis is outside the scope of this contribution. © Geological Society of India 2010 |
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Mapping texture domains in quartzite microstructures |
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https://dx.doi.org/10.1007/s12594-010-0005-0 |
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10.1007/s12594-010-0005-0 |
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| score |
7.3983297 |