Optimising Archaeologic Ceramics h-XRF Analyses
Bergman, Jakob LU
and Lindahl, Anders
LU
(2016)
CoDaWork'15
In Springer Proceedings in Mathematics & Statistics
187.
- Abstract
- We present the first results of an experiment which is aimed at ultimately producing recommendations for analysing archaeologic ceramics specimens using handheld XRF analysis devices. In this experiment we study the effects of different measurement durations, different number of measured points and three different types of surface treatments (breakage, polished, grounded) when analysing ceramics specimens, while controlling for nine different types of clay and three different types of temper (no temper, sand, rock), in total almost 1000 analysed points. For each measurement, the proportions of 36 different elements and all other elements are estimated. In the cases with multiple measurements of a specimen, the compositional centre of the... (More)
- We present the first results of an experiment which is aimed at ultimately producing recommendations for analysing archaeologic ceramics specimens using handheld XRF analysis devices. In this experiment we study the effects of different measurement durations, different number of measured points and three different types of surface treatments (breakage, polished, grounded) when analysing ceramics specimens, while controlling for nine different types of clay and three different types of temper (no temper, sand, rock), in total almost 1000 analysed points. For each measurement, the proportions of 36 different elements and all other elements are estimated. In the cases with multiple measurements of a specimen, the compositional centre of the measurements is calculated. A complicating issue in the analysis is the large number of parts found to be below detection limit; 13 elements have more than 50 % of the measurements below detection limit and for more than half of those (almost) all measurements are below detection limit. We try nine different strategies for imputing the values. Each estimated elemental composition is compared to a reference estimate using the simplicial distance. The log distances are finally analysed using analysis of variance with main and interaction effects. We find that the different surface treatments have the greatest effect on the distances: grounded specimens yield the most accurate estimates and polished surfaces the least. We also find a significant effect of increasing the number of measured points, but less effect of increasing the duration of the measurements. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/0a13e0e3-42bc-4076-b894-f288c84e0d86
- author
- Bergman, Jakob
LU
and Lindahl, Anders
LU
- organization
- publishing date
- 2016
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- archaeologic XRF analyses, archaeometric experiment, ceramics analysis, elemental composition analysis, simplicial distance
- host publication
- Compositional Data Analysis : CoDaWork, L’Escala, Spain, June 2015 - CoDaWork, L’Escala, Spain, June 2015
- series title
- Springer Proceedings in Mathematics & Statistics
- editor
- Martín-Fernández, Josep Antoni and Thió-Henestrosa, Santiago
- volume
- 187
- pages
- 11 pages
- publisher
- Springer International Publishing
- conference name
- CoDaWork'15
- conference location
- L'Escala, Girona, Spain
- conference dates
- 2015-06-01 - 2015-06-05
- external identifiers
-
- scopus:85006043623
- ISBN
- 978-3-319-44810-7
- 978-3-319-44811-4
- DOI
- 10.1007/978-3-319-44811-4_1
- language
- English
- LU publication?
- yes
- id
- 0a13e0e3-42bc-4076-b894-f288c84e0d86
- date added to LUP
- 2016-08-15 12:57:45
- date last changed
- 2024-04-19 06:53:28
@inbook{0a13e0e3-42bc-4076-b894-f288c84e0d86,
abstract = {{We present the first results of an experiment which is aimed at ultimately producing recommendations for analysing archaeologic ceramics specimens using handheld XRF analysis devices. In this experiment we study the effects of different measurement durations, different number of measured points and three different types of surface treatments (breakage, polished, grounded) when analysing ceramics specimens, while controlling for nine different types of clay and three different types of temper (no temper, sand, rock), in total almost 1000 analysed points. For each measurement, the proportions of 36 different elements and all other elements are estimated. In the cases with multiple measurements of a specimen, the compositional centre of the measurements is calculated. A complicating issue in the analysis is the large number of parts found to be below detection limit; 13 elements have more than 50 % of the measurements below detection limit and for more than half of those (almost) all measurements are below detection limit. We try nine different strategies for imputing the values. Each estimated elemental composition is compared to a reference estimate using the simplicial distance. The log distances are finally analysed using analysis of variance with main and interaction effects. We find that the different surface treatments have the greatest effect on the distances: grounded specimens yield the most accurate estimates and polished surfaces the least. We also find a significant effect of increasing the number of measured points, but less effect of increasing the duration of the measurements.}},
author = {{Bergman, Jakob and Lindahl, Anders}},
booktitle = {{Compositional Data Analysis : CoDaWork, L’Escala, Spain, June 2015}},
editor = {{Martín-Fernández, Josep Antoni and Thió-Henestrosa, Santiago}},
isbn = {{978-3-319-44810-7}},
keywords = {{archaeologic XRF analyses; archaeometric experiment; ceramics analysis; elemental composition analysis; simplicial distance}},
language = {{eng}},
publisher = {{Springer International Publishing}},
series = {{Springer Proceedings in Mathematics & Statistics}},
title = {{Optimising Archaeologic Ceramics h-XRF Analyses}},
url = {{http://dx.doi.org/10.1007/978-3-319-44811-4_1}},
doi = {{10.1007/978-3-319-44811-4_1}},
volume = {{187}},
year = {{2016}},
}