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“Whole Pattern” XRD Interpretation of Mineralogical Variation

Published online by Cambridge University Press:  06 March 2019

Ray E. Ferrell Jr.
Affiliation:
Louisiana State University Baton Rouge, LA, U.S.A., 70803-4101
Lynn R. LaMotte
Affiliation:
Department of Experimental Statistics Louisiana State University Baton Rouge, LA, U.S.A., 70803-4101
Wanda S. LeBlanc
Affiliation:
Louisiana State University Baton Rouge, LA, U.S.A., 70803-4101
David E. Wilensky
Affiliation:
Louisiana State University Baton Rouge, LA, U.S.A., 70803-4101
Lin Mao
Affiliation:
Department of Experimental Statistics Louisiana State University Baton Rouge, LA, U.S.A., 70803-4101
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Abstract

All intensity data in a powder XRD pattern can be used to provide useful results for the interpretation of the mineralogical variability of geological samples. Simple statistical methods using Bonferroni's theorem permit the recognition of areas usually associated with mineral peaks where sample patterns are different at a predetermined level of confidence. Intensity/frequency histograms reveal subtle differences in low intensity regions of the XRD patterns that are also indicative of sample variability. These procedures facilitate the comparison of samples and may reduce the total analytical error because the weight percent determination can be eliminated.

Type
IX. XRD Applications: Detection Levitts, Superconductors, Organics, Minerals
Copyright
Copyright © International Centre for Diffraction Data 1991

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References

1. Cook, H.E., Johnson, P.D., Matti, J.C., and Zemmels, I., Init. Reports of the Deep Sea Drilling Proiect, 28: U.S.Govt, Printing Office, Washington, p. 9991007.(1975).Google Scholar
2. Schultz, L.G., U.S.Geol, Sur. Prof. Paper 391-C: U.S.Govt. Printing Office, Washington, 31p. (1964) .Google Scholar
3. Chung, F.H., J. Appl. Cryst., p. 525531.(1974).Google Scholar
4. Snyder, R.L., and Bish, D.L.,In: Bish, D.L. and Post, J.E., eds., Reviews in Mineralogy, v.20, Min. Soc. Amer.,Washington, 101144. (1989) .Google Scholar
5. Hart, G.F., Ferrell, R.E., Lowe, D.R., and Lenoir, A.E. Shelf Sands of the Robulus L. Zone, offshore Louisiana. In., Morton, R.A., and Nummedal, D., eds., Shelf Sedimentat ion. Shelf Sequences and Related Hydrocarbon Accumulation Gulf Coast Section SEPM., Dallas, p.117 141. (1989)Google Scholar
6. Devine, S.B., Ferrell, R.E., and Billings, G.K., J. Sed. Pet., v. 42, no. 2, p. 468475.(1972).Google Scholar
7. Feller, W., An Introduction to Probability Theory and Its Applications, Third Edition, J. Wiley & Sons, Inc., New York, p.110 (1968) .Google Scholar
8. Morrison, D.F., Multivariate Statistical Methods, Second Edition, McGraw-Hill Book Company, New York, p. 3340 (1976)Google Scholar