Use of a Radon Stripping Algorithm for Retrospective Assessment of Air Filter Samples

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An evaluation of a large number of air sample filters was undertaken using a commercial alpha and beta spectroscopy system employing a passive implanted planar silicon (PIPS) detector. Samples were only measured after air flow through the filters had ceased. Use of a commercial radon stripping algorithm was implemented to discriminate anthropogenic alpha and beta activity on the filters from the radon progeny. When uncontaminated air filters were evaluated, the results showed that there was a time-dependent bias in both average estimates and measurement dispersion with the relative bias being small compared to the dispersion. By also measuring environmental air ... continued below

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Hayes, Robert January 23, 2009.

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An evaluation of a large number of air sample filters was undertaken using a commercial alpha and beta spectroscopy system employing a passive implanted planar silicon (PIPS) detector. Samples were only measured after air flow through the filters had ceased. Use of a commercial radon stripping algorithm was implemented to discriminate anthropogenic alpha and beta activity on the filters from the radon progeny. When uncontaminated air filters were evaluated, the results showed that there was a time-dependent bias in both average estimates and measurement dispersion with the relative bias being small compared to the dispersion. By also measuring environmental air sample filters simultaneously with electroplated alpha and beta sources, use of the radon stripping algorithm demonstrated a number of substantial unexpected deviations. Use of the current algorithm is therefore not recommended for assay applications and so use of the PIPS detector should only be utilized for gross counting without appropriate modifications to the curve fitting algorithm. As a screening method, the radon stripping algorithm might be expected to see elevated alpha and beta activities on air sample filters (not due to radon progeny) around the 200 dpm level.

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  • Report No.: DOE/NV/25946--067
  • Grant Number: DE-AC52-06NA25946
  • Office of Scientific & Technical Information Report Number: 946436
  • Archival Resource Key: ark:/67531/metadc900412

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  • January 23, 2009

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  • Sept. 27, 2016, 1:39 a.m.

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  • Dec. 16, 2016, 12:52 p.m.

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Hayes, Robert. Use of a Radon Stripping Algorithm for Retrospective Assessment of Air Filter Samples, article, January 23, 2009; United States. (digital.library.unt.edu/ark:/67531/metadc900412/: accessed September 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.