A SELF-CONSISTENT COMPILATION OF ELEMENTAL CONCENTRATION DATA FOR 93 GEOCHEMICAL REFERENCE SAMPLES

1996 ◽  
Vol 20 (2) ◽  
pp. 217-245 ◽  
Author(s):  
Randy L. KOROTEV
1992 ◽  
Vol 16 (2) ◽  
pp. 111-300 ◽  
Author(s):  
Ernest S. GLADNEY ◽  
Elizabeth A. JONES ◽  
Eric J. NICKELL ◽  
Iwan ROELANDTS

1991 ◽  
Vol 15 (2) ◽  
pp. 199-396 ◽  
Author(s):  
Ernest S. Gladney ◽  
Elizabeth A. Jones ◽  
Eric J. Nickell ◽  
Iwan Roelandts

2013 ◽  
Vol 1 (1) ◽  
pp. 2 ◽  
Author(s):  
Kostalena Michelaki ◽  
Ronald G.V. Hancock

The present study re-examines geochemical data produced by instrumental neutron activa- tion analysis (INAA) of sixty-two fired clay sed- iment samples from the western Nile delta in Egypt. The goal is to assess the strengths and weaknesses of principal component analysis (PCA) and bivariate data splitting (BDS), two widely used data analysis methods, in success- fully sorting differing sediment chemistries. Both PCA and BDS are performed using vari- ous data formats [i.e. original, calcium (Ca)- corrected, scandium (Sc)-normalized, or loga- rithmically (log10) transformed]. Both PCA and BDS are shown to sort differing chemistries well. While PCA has the advantage of speed, BDS has the advantage of providing specific chemical clarity and the opportunity to assess the degree of sand dilution more precisely. In PCA, the data format is semi-immaterial, while in BDS, different formats of the data may hin- der, rather than enhance, data interpretation, depending on the questions being asked.


1985 ◽  
Vol 9 (1) ◽  
pp. 35-68 ◽  
Author(s):  
Ernest S. GLADNEY ◽  
Colleen E. BURNS ◽  
Iwan Roelandts

1996 ◽  
Vol 61 (2) ◽  
pp. 389-404 ◽  
Author(s):  
Hector Neff ◽  
Michael D. Glascock ◽  
Ronald L. Bishop ◽  
M. James Blackman

We criticize the acid-extraction approach to chemical characterization of ceramics previously advocated in this journal by Burton and Simon (1993). The instrumental technique used by Burton and Simon (inductively coupled plasma emission spectroscopy [ICP]) is a highly precise chemical characterization technique, but noise introduced by characterizing acid extracts from sherds nullifies the usefulness of the resulting elemental concentration data for archaeological sourcing.


2019 ◽  
Vol 25 (2) ◽  
pp. 349-355
Author(s):  
Takumi Kitayama ◽  
Masaya Kozuka ◽  
Yasuhiro Aruga ◽  
Chikara Ichihara

AbstractA procedure to analyze the elemental concentration distribution inside solute clusters after detection of clusters from atom probe tomography data set was proposed. We developed a code which can directly illustrate an average concentration profile inside a cluster even in the case of including various sizes of ellipsoidal clusters. The profile can be with respect to absolute distance and includes errors in each data point. The reliability of the developed code was verified by analyzing an artificial cluster model which has inhomogeneous elemental distribution. It was found that the precise estimation of cluster centroids is important and that the preferable conditions for targeting clusters are a detection efficiency of over 20%, over 30 atoms in a cluster on average, and over 100 atoms for each concentration data point.


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