A Monte Carlo approach to food density corrections in gamma spectroscopy

Abstract

Evaluation of food products by gamma spectroscopy requires a correction for food density for many counting geometries and isotopes. An inexpensive method to develop these corrections has been developed by creating a detailed model of the HPGe crystal and counting geometry for the Monte Carlo transport code MCNP. The Monte Carlo code was then used to generate a series of efficiency curves for a wide range of sample densities. The method was validated by comparing the MCNP generated efficiency curves against those obtained from measurements of NIST traceable standards, and spiked food samples across a range of food densities.

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Correspondence to R. L. Metzger.

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Metzger, R.L., Van Riper, K. & Pouquette, P. A Monte Carlo approach to food density corrections in gamma spectroscopy. J Radioanal Nucl Chem 307, 1595–1598 (2016). https://doi.org/10.1007/s10967-015-4379-8

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Keywords

  • Gamma spectroscopy
  • Monte Carlo
  • MCNP