Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2012High definition 2D and 3D X-ray fluorescence imaging in real-time: Maia detector system quantitative imaging methodscitations
  • 2010High definition trace element imaging of natural material using the new Maia X-ray detector array and processorcitations
  • 2010The Maia X-ray detector array at the Australian Synchrotron: High definition SXRF trace element imagingcitations

Places of action

Chart of shared publication
De Geronimo, Gianluigi
3 / 3 shared
Paterson, David
3 / 7 shared
Li, Zhi Yong
1 / 1 shared
Kuczewski, Tony
3 / 3 shared
Borg, Stacey
2 / 3 shared
Hough, Rob
3 / 7 shared
Cleverley, James
3 / 5 shared
De Jonge, Martin
3 / 4 shared
Howard, Daryl
3 / 4 shared
Davey, Peter
3 / 3 shared
Donner, Erica
1 / 2 shared
Lombi, Enzo
1 / 4 shared
Dunn, Paul
3 / 3 shared
Moorhead, Gareth
3 / 5 shared
Jensen, Murray
3 / 3 shared
Lintern, Mel
2 / 2 shared
Myers, Damian
1 / 1 shared
Laird, Jamie
1 / 4 shared
Ryan, Chris
1 / 2 shared
Etschmann, Barbara
1 / 4 shared
Mcnulty, Ian
1 / 2 shared
Eyberger, Catherine
1 / 1 shared
Lai, Barry
1 / 17 shared
Chart of publication period
2012
2010

Co-Authors (by relevance)

  • De Geronimo, Gianluigi
  • Paterson, David
  • Li, Zhi Yong
  • Kuczewski, Tony
  • Borg, Stacey
  • Hough, Rob
  • Cleverley, James
  • De Jonge, Martin
  • Howard, Daryl
  • Davey, Peter
  • Donner, Erica
  • Lombi, Enzo
  • Dunn, Paul
  • Moorhead, Gareth
  • Jensen, Murray
  • Lintern, Mel
  • Myers, Damian
  • Laird, Jamie
  • Ryan, Chris
  • Etschmann, Barbara
  • Mcnulty, Ian
  • Eyberger, Catherine
  • Lai, Barry
OrganizationsLocationPeople

document

High definition trace element imaging of natural material using the new Maia X-ray detector array and processor

  • De Geronimo, Gianluigi
  • Paterson, David
  • Kuczewski, Tony
  • Hough, Rob
  • Cleverley, James
  • Lintern, Mel
  • De Jonge, Martin
  • Howard, Daryl
  • Davey, Peter
  • Myers, Damian
  • Siddons, Pete
  • Dunn, Paul
  • Moorhead, Gareth
  • Laird, Jamie
  • Jensen, Murray
  • Ryan, Chris
Abstract

Construction of the Maia annular 384 detector array [1,2] for the X-ray Fluorescence Microscopy (XFM) beamline at the Australian Synchrotron has been completed and tests are underway. Meanwhile, a 96 detector prototype array has been in use at XFM for a wide range of applications and plans are developing to install a Maia 384 detector in the CSIRO Nuclear Microprobe. This paper provides an outline of the Maia concept, reports on developments in methods for real-time processing of event data, corrections to the fundamental parameter approach to quantification and spectral deconvolution method to deal with large detector solid-angle (~1.2 sr) and illustrates Maia performance using applications involving natural samples.Developed by CSIRO and Brookhaven National Laboratory, Maia combines a 96 or 384 silicon detector array and a high speed, FPGA based, pipelined, parallel processor that enables real-time processing of each detected X-ray event tagged by detector number and XY position in the image scan. Using an embedded spectral deconvolution algorithm based on the Dynamic Analysis (DA) method [3], the processor accumulates deconvoluted element images in real-time. The real-time processing pipeline includes: (i) event correction for linearization, (ii) gain trimming to match spectra from individual detector channels, (iii) pile-up rejection, (iv) DA image accumulation, (v) monitor spectra accumulation, (vi) intelligent sub-sampling to conserve disk space and (vii) logging of raw and accumulated data to disk. The detector systems may drive the XY sample stage directly, or read back stage encoder or laser interferometer values to sample position and focusing zone-plate location.Real-time event processing enables transit times per pixel as short as 50 µs and scanning up to ~10000 lines to collect high definition SXRF images up to ~100M pixels [4]. Applied to imaging element distribution in natural samples at XFM, the result is spatial detail simultaneously spanning 4 orders of magnitude from ~1 µm to ~10 mm.[1] DP Siddons et al., AIP Conference Proceedings 705 (2004) 953. [2] R Kirkham et al., Proc. of SRI'09, AIP Conference Proceedings, in press. [3] CG Ryan, Int. J. of Imaging Systems and Technology 11 (2000) 219. [4] CG Ryan et al., Proc. of ICXOM'09, AIP Conference Proceedings, in press.

Topics
  • impedance spectroscopy
  • Silicon
  • trace element
  • fluorescence microscopy