Data

GeoPIXE element maps of samples GQ1943_2 and GQ1943_3

Commonwealth Scientific and Industrial Research Organisation
Pearce, Mark ; Fisher, Louise ; Ryan, Chris
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/08/57C8E0EE76B4E&rft.title=GeoPIXE element maps of samples GQ1943_2 and GQ1943_3&rft.identifier=https://doi.org/10.4225/08/57C8E0EE76B4E&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=A series of element maps collected using the Maia 384 detector array on the XFM beamline at the Australian Synchrotron. Maps are RGB composites (indicated by file name) or a combination of black and white intensity with RGB. Lower resolution versions of these files are used in a paper on the application of microanalysis techniques in ore geology and are made available here to allow the full resolution images (1:1 binning of pixels) to be accessed.\nLineage: X-ray spectra were collected using the Maia 384 detector on the XFM beamline at the Australian Synchrotron. The spectral data were collected with an incident beam energy of 18.5 keV, a pixel size of 4 µm and dwell times per pixel of 0.97 msec. The Maia XFM full spectral data were analysed using the GeoPIXE software suite which uses a fundamental parameters approach, with spectral deconvolution and imaging using the Dynamic Analysis method based on fitting a representative total spectrum, and a detailed model of Maia detector array efficiency. Spectra are fitted using a X-ray line relative intensities that reflect integration of yields and X-ray self-absorption effects for the given matrix or mineral phase and the contrasting efficiency characteristics across the detector array. The result is a matrix transformation that allows projection of the full-spectral data into element maps in this collection.&rft.creator=Pearce, Mark &rft.creator=Fisher, Louise &rft.creator=Ryan, Chris &rft.date=2016&rft.edition=v2&rft.coverage=122.41666666666667,-29.083333333333332&rft_rights=CSIRO Data Licence https://research.csiro.au/dap/licences/csiro-data-licence/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2016.&rft_subject=Maia detector&rft_subject=element maps&rft_subject=GeoPIXE&rft_subject=Sunrise Dam Gold Mine&rft_subject=Resource geoscience&rft_subject=Geology&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data

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A series of element maps collected using the Maia 384 detector array on the XFM beamline at the Australian Synchrotron. Maps are RGB composites (indicated by file name) or a combination of black and white intensity with RGB. Lower resolution versions of these files are used in a paper on the application of microanalysis techniques in ore geology and are made available here to allow the full resolution images (1:1 binning of pixels) to be accessed.
Lineage: X-ray spectra were collected using the Maia 384 detector on the XFM beamline at the Australian Synchrotron. The spectral data were collected with an incident beam energy of 18.5 keV, a pixel size of 4 µm and dwell times per pixel of 0.97 msec. The Maia XFM full spectral data were analysed using the GeoPIXE software suite which uses a fundamental parameters approach, with spectral deconvolution and imaging using the Dynamic Analysis method based on fitting a representative total spectrum, and a detailed model of Maia detector array efficiency. Spectra are fitted using a X-ray line relative intensities that reflect integration of yields and X-ray self-absorption effects for the given matrix or mineral phase and the contrasting efficiency characteristics across the detector array. The result is a matrix transformation that allows projection of the full-spectral data into element maps in this collection.

Available: 2016-09-02

Data time period: 2012-06-14 to 2014-10-24

122.41667,-29.08333

122.41666666667,-29.083333333333

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