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

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.