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Activity, exposure rate and spectrum prediction with Java programming

  • Dağıstan Şahin
  • Kenan Ünlü
Article

Abstract

In order to envision the radiation exposure during Neutron Activation Analysis (NAA) experiments, a software called Activity Predictor is developed using JavaTM programming language. The Activity Predictor calculates activities, exposure rates and gamma spectra of activated samples for NAA experiments performed at Radiation Science and Engineering Center (RSEC), Penn State Breazeale Reactor (PSBR). The calculation procedure for predictions involves both analytical and Monte Carlo methods. The Activity Predictor software is validated with a series of activation experiments. It has been found that Activity Predictor software calculates the activities and exposure rates precisely. The software also predicts gamma spectrum for each measurement. The predicted spectra agreed partially with measured spectra. The error in net photo peak areas varied from 4.8 to 51.29%, which is considered to be due to simplistic modeling, statistical fluctuations and unknown contaminants in the samples.

Keywords

Neutron activation analysis (NAA) Activity prediction Exposure rate Spectrum prediction Monte Carlo Gamma spectroscopy 

Notes

Acknowledgements

This project was sponsored by U.S. Department of Energy (DOE) under Nuclear Engineering Education Research (NEER) grant DE-FG07-05ID-14702, U.S. DOE Innovation in Nuclear Infrastructure and Education, DE-FC07-02ID-14423, The Pennsylvania State University, Radiation Science and Engineering Center.

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2009

Authors and Affiliations

  1. 1.The Pennsylvania State University Radiation Science and Engineering CenterUniversity ParkUSA

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