RaDeCC reader: fast, accurate and automated data processing for Radium Delayed Coincidence Counting systems

Selzer, Sean, Annett, Amber L. and Homoky, William B. (2021) RaDeCC reader: fast, accurate and automated data processing for Radium Delayed Coincidence Counting systems. Computers and Geosciences, 149, [104699]. (doi:10.1016/j.cageo.2021.104699).

Record type: Article

Abstract

A Python program is presented to expedite the process of correcting raw data and propagating the related uncertainties from Radium Delayed Coincidence Counting (RaDeCC) instruments. The performance of the program was validated against an established method with real data. Excellent agreement between determinations of excess radium-223, actinium-227, excess radium-224, thorium-228 and radium-226 was achieved, with minor discrepancies in the results attributed to logical improvements in our implementation. The RaDeCC Reader program is able to process one thousand data files in only a few minutes, and thereby offer distinct advantages in the processing speed combined with reliable accuracy of data processing implementations.

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RaDeCC_Reader_CAGEO_Manuscript_211220 - Accepted Manuscript

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Accepted/In Press date: 11 January 2021

Published date: April 2021

Additional Information: Funding Information: The authors gratefully acknowledge support from the UK's Natural Environment Research Council who funded S.S. through the Environmental Research Doctoral Training Partnership with University of Oxford (NE/L002612/1), and A.L.A. and W.B.H. through Independent Research Fellowships (NE/P017630/1 and NE/K009532/1). We would like to thank J. Tamborski and P. van Beek who shared their RaDeCC output and sample data to validate the RaDeCC Reader across a wider range of environmental activities. Funding Information: The authors gratefully acknowledge support from the UK's Natural Environment Research Council who funded S.S. through the Environmental Research Doctoral Training Partnership with University of Oxford (NE/L002612/1) , and A.L.A. and W.B.H. through Independent Research Fellowships ( NE/P017630/1 and NE/K009532/1 ). We would like to thank J. Tamborski and P. van Beek who shared their RaDeCC output and sample data to validate the RaDeCC Reader across a wider range of environmental activities. Publisher Copyright: © 2021

Keywords: Data assimilation, Data processing, Environmental science, Hydrogeology, Software engineering