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Counting Statistics and Ion Interval Density in AMS

Published online by Cambridge University Press:  18 July 2016

John S Vogel ,
Ted Ognibene ,
Magnus Palmblad  and
Paula Reimer
John S Vogel*
Affiliation:
Center for Accelerator Mass Spectrometry, Lawrence Livermore National Laboratory, Livermore, California 94551, USA.
Ted Ognibene
Affiliation:
Center for Accelerator Mass Spectrometry, Lawrence Livermore National Laboratory, Livermore, California 94551, USA.
Magnus Palmblad
Affiliation:
Center for Accelerator Mass Spectrometry, Lawrence Livermore National Laboratory, Livermore, California 94551, USA.
Paula Reimer
Affiliation:
Center for Accelerator Mass Spectrometry, Lawrence Livermore National Laboratory, Livermore, California 94551, USA.
*
Corresponding author. Email: jsvogel@llnl.gov.
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Abstract

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Confidence in the precisions of accelerator mass spectrometry (AMS) and decay measurements must be comparable for the application of the radiocarbon calibration to age determinations using both technologies. We confirmed the random nature of the temporal distribution of 14C ions in an AMS spectrometer for a number of sample counting rates and properties of the sputtering process. The temporal distribution of ion counts was also measured to confirm the applicability of traditional counting statistics.

Type
Articles
Information
Radiocarbon , Volume 46 , Issue 3: IntCal04: Calibration Issue, Guest Editor: PAULA J REIMER , 2004 , pp. 1103 - 1109
Copyright
Copyright © The Arizona Board of Regents on behalf of the University of Arizona 

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