The Optimization and Application of Quantitative Energy Dispersive X-Ray Fluorescence Spectroscopy to the Collaborative Study of Historic Copper Alloys

A.S. Heginbotham

The Optimization and Application of Quantitative Energy Dispersive X-Ray Fluorescence Spectroscopy to the Collaborative Study of Historic Copper Alloys

A.S. Heginbotham

Geology and Geochemistry

Research output: PhD Thesis › PhD-Thesis - Research and graduation internal

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Original language	English
Qualification	PhD
Awarding Institution	Vrije Universiteit Amsterdam
Supervisors/Advisors	Davies, Gareth R, Supervisor Vroon, PZ, Co-supervisor
Award date	21 Nov 2018
Print ISBNs	9789463800761
Publication status	Published - 2018

Keywords

XRF
calibration
copper alloy
bronze
art conservation
machine learning
reproducibility

Access to Document

CoverFinal published version, 18.8 MB
Title pageFinal published version, 221 KB
Abstract dutchFinal published version, 36.3 KB
Abstract englishFinal published version, 36.1 KB
Table of contentsFinal published version, 213 KB
Preliminary matterFinal published version, 674 KB
Chapter 1Final published version, 12.2 MB
Chapter 2Final published version, 2.19 MB
Chapter 3Final published version, 1.74 MB
Chapter 4Final published version, 1.46 MB
Chapter 5Final published version, 3.13 MB
Chapter 6Final published version, 2.67 MB
End matterFinal published version, 1.14 MB

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Cite this

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title = "The Optimization and Application of Quantitative Energy Dispersive X-Ray Fluorescence Spectroscopy to the Collaborative Study of Historic Copper Alloys",

keywords = "XRF, calibration, copper alloy, bronze, art conservation, machine learning, reproducibility",

author = "A.S. Heginbotham",

year = "2018",

language = "English",

isbn = "9789463800761",

type = "PhD-Thesis - Research and graduation internal",

school = "Vrije Universiteit Amsterdam",

}

TY - THES

T1 - The Optimization and Application of Quantitative Energy Dispersive X-Ray Fluorescence Spectroscopy to the Collaborative Study of Historic Copper Alloys

AU - Heginbotham, A.S.

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Y1 - 2018

KW - XRF

KW - calibration

KW - copper alloy

KW - bronze

KW - art conservation

KW - machine learning

KW - reproducibility

M3 - PhD-Thesis - Research and graduation internal

SN - 9789463800761

ER -