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

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.

Metadata

Authors/Creators:	Selzer, S Annett, AL Homoky, WB https://orcid.org/0000-0002-9562-8591
Copyright, Publisher and Additional Information:	© 2021 Published by Elsevier Ltd. This is an author produced version of an article published in Computers & Geosciences. Uploaded in accordance with the publisher's self-archiving policy.
Keywords:	Data assimilation; Data processing; Environmental science; Hydrogeology; Software engineering
Dates:	Accepted: 11 January 2021 Published (online): 22 January 2021 Published: April 2021
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Earth Surface Science Institute (ESSI) (Leeds)
Depositing User:	Symplectic Publications
Date Deposited:	27 Jan 2021 16:00
Last Modified:	16 Jan 2023 13:51
Status:	Published
Publisher:	Elsevier
Identification Number:	https://doi.org/10.1016/j.cageo.2021.104699

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

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