Hostname: page-component-84b7d79bbc-x5cpj Total loading time: 0 Render date: 2024-07-29T06:20:55.430Z Has data issue: false hasContentIssue false
  • English
  • Français

Quantifying Trace Element Variations in Chrysocolla by Clustering FEG-EPMA Hyperspectral Maps

Published online by Cambridge University Press:  30 July 2021

Aaron Torpy ,
Rong Fan ,
Nicholas Wilson ,
Colin MacRae  and
Peter Austin
Aaron Torpy
Affiliation:
CSIRO Mineral Resources, Clayton, Australia
Rong Fan
Affiliation:
CSIRO Mineral Resources, Australia
Nicholas Wilson
Affiliation:
CSIRO Mineral Resources, Clayton, Australia
Colin MacRae
Affiliation:
CSIRO Mineral Resources, Clayton, Victoria, Australia
Peter Austin
Affiliation:
CSIRO Mineral Resources, Australia

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Unresolved Challenges in Quantitative X-ray Microanalysis
Information
Microscopy and Microanalysis , Volume 27 , Supplement S1 , August 2021 , pp. 1870 - 1872
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of the Microscopy Society of America

References

Crane, M.J., Sharpe, J.L. and Williams, P.A. (2001). Formation of chrysocolla and secondary copper phosphates in the highly weathered supergene zones of some Australian deposits. Records-Australian Museum, 53(1), pp.49-56.Google Scholar
Torpy, A., Wilson, N., MacRae, C., Pownceby, M., Biswas, P., Rahman, M., & Zaman, M. (2020). Deciphering the Complex Mineralogy of River Sand Deposits through Clustering and Quantification of Hyperspectral X-Ray Maps. Microscopy and Microanalysis, 26(4), 768-792. doi:10.1017/S143192762000135XGoogle ScholarPubMed
http://www.samx.com/microanalysis/products/stratagem_us.htmlGoogle Scholar