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Radiocarbon AMS Data Analysis: From Measured Isotopic Ratios to 14C Concentrations

Published online by Cambridge University Press:  18 July 2016

Ugo Zoppi
Ugo Zoppi*
Affiliation:
Accium BioSciences Inc., 550 17th Avenue, Suite 550, Seattle, Washington 98122, USA. Email: uzoppi@acciumbio.com
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Abstract

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Radiocarbon accelerator mass spectrometry (AMS) measurements are always carried out relative to internationally accepted standards with known 14C activities. The determination of accurate 14C concentrations relies on the fact that standards and unknown samples must be measured under the same conditions. When this is not the case, data reduction is either performed by splitting the collected data set into subsets with consistent measurement conditions or by applying correction factors.

This paper introduces a mathematical framework that exploits the intrinsic variability of an AMS system by combining arbitrary measurement parameters into a normalization function. This novel approach allows the en-masse reduction of large data sets by providing individual normalization factors for each data point. Both general features and practicalities necessary for its efficient application are discussed.

Information

Type
Methods, Applications, and Developments
Information
Radiocarbon , Volume 52 , Issue 1 , 2010, pp. 165 - 170
Copyright
Copyright © 2010 by the Arizona Board of Regents on behalf of the University of Arizona 

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