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Dating ancient wood by high-sensitivity liquid scintillation counting and accelerator mass spectrometry—Pushing the boundaries
Authors:Alan G Hogg  L Keith Fifield  Chris SM Turney  Jonathan G Palmer  Rex Galbraith  Mike GK Baillie
Institution:

aRadiocarbon Dating Laboratory, University of Waikato, Private Bag, Hamilton, New Zealand

bDepartment of Nuclear Physics, Research School of Physical Sciences and Engineering, Australian National University, Canberra, ACT 0200, Australia

cGeoQuEST Research Centre, School of Earth and Environmental Sciences, University of Wollongong, Wollongong, NSW 2522, Australia

dGondwana Tree Ring Laboratory, P.O. Box 64, Tai Tapu, Canterbury 8150, New Zealand

eDepartment of Statistical Science, University College London, Gower Street, London, WC1E 6BT, UK

fDepartment of Archaeology and Palaeoecology, School of Geography, Archaeology and Palaeoecology, Queen's University, Belfast, BT7 1NN, UK

Abstract:It is critical that a comprehensive terrestrial radiocarbon (14C) calibration curve is developed beyond 26 ka for high-precision calibration and correlation of climatic, environmental and archaeological records. Abundant sub-fossil New Zealand kauri (Agathis australis) wood, preserved in Oxygen Isotope Stage-2 and 3 peat swamps, provides an important resource for 14C calibration; nowhere else in the world does such an extensive collection of ancient wood exist. Although finite 14C ages beyond 50 ka are becoming routinely reported, few attempts have been made to demonstrate their accuracy or precision. Finite ages beyond 50 ka require optimization of all elements involved in sample preparation and 14C analysis. Here we discuss the methodology employed for optimizing the 14C dating of near-background wood samples by both benzene synthesis for liquid scintillation counting (LSC) or graphite synthesis for accelerator mass spectrometry (AMS). We report the mean background blank activities for both methods and present a statistical model for assigning blank standard errors when blank activity variation is over and above counting statistics. We also present duplicate analyses (using LSC and AMS) of nine successive samples of wood obtained from a sub-fossil kauri log near-background in age to investigate the significance of the measured blank levels and variability.
Keywords:
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