Skip Navigation


Journal of Petrology Advance Access originally published online on March 22, 2006
Journal of Petrology 2006 47(6):1245-1254; doi:10.1093/petrology/egl010
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Supplementary data
Right arrow All Versions of this Article:
47/6/1245    most recent
egl010v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (7)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by GUALDA, G. A. R.
Right arrow Search for Related Content
GeoRef
Right arrow GeoRef Citation
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org

Crystal Size Distributions Derived from 3D Datasets: Sample Size Versus Uncertainties

GUILHERME A. R. GUALDA*

DEPARTMENT OF THE GEOPHYSICAL SCIENCES, THE UNIVERSITY OF CHICAGO, 5734 S. ELLIS AVE., CHICAGO, IL 60637, USA

RECEIVED JUNE 23, 2005; ACCEPTED FEBRUARY 21, 2006

Crystal size distributions (CSD) are the most commonly studied character in quantitative textural investigations of igneous rocks. The quality of CSD depends fundamentally on the sample size (i.e. total number of crystals). Here we use 3D X-ray tomographic datasets of two early erupted Bishop Tuff pumice clasts (comprising 849 and 446 quartz crystals) to investigate the effect of sample size on the quality of the quartz size distributions. Because CSD are obtained using a counting procedure, uncertainties related to counting statistics can be used as minimum estimates of error. Given that most natural samples are characterized by a decreasing number of crystals with increasing crystal size, uncertainties tend to increase markedly with crystal size, and the number of small crystals to be counted grows very quickly with increasing sample size. Accordingly, with as few as 100 crystals in total, it is possible to properly estimate the population densities for small size bins (20–80 µm). However, to obtain meaningful estimates across four bin sizes (20–320 µm), at least ~250 crystals, but preferably >400 crystals are needed. To minimize the total number of crystals counted, and keep the uncertainties on the larger size ranges within reasonable values, it becomes necessary to study multiple volumes at variable spatial resolution.

KEY WORDS: crystal size distributions; quantitative petrography; texture; X-ray tomography


* Corresponding author. Telephone: +1-773-702-8101. Fax: +1-773-702-9505. E-mail: ggualda{at}uchicago.edu


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Geological Society, London, Special PublicationsHome page
D. A. Jerram and V. M. Martin
Understanding crystal populations and their significance through the magma plumbing system
Geological Society, London, Special Publications, January 1, 2008; 304(1): 133 - 148.
[Abstract] [Full Text] [PDF]


Home page
American MineralogistHome page
R. Amenta, A. Ewing, A. Jensen, S. Roberts, K. Stevens, M. Summa, S. Weaver, and P. Wertz
A modeling approach to understanding the role of microstructure development on crystal-size distributions and on recovering crystal-size distributions from thin slices
American Mineralogist, November 1, 2007; 92(11-12): 1936 - 1945.
[Abstract] [Full Text] [PDF]


Home page
ELEMENTSHome page
D. A. Jerram and M. D. Higgins
3D Analysis of Rock Textures: Quantifying Igneous Microstructures
Elements, August 1, 2007; 3(4): 239 - 245.
[Abstract] [Full Text] [PDF]


Home page
J PetrologyHome page
B. O'Driscoll, C. H. Donaldson, V. R. Troll, D. A. Jerram, and C. H. Emeleus
An Origin for Harrisitic and Granular Olivine in the Rum Layered Suite, NW Scotland: a Crystal Size Distribution Study
J. Petrology, February 1, 2007; 48(2): 253 - 270.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.