TY - JOUR
T1 - Activity, exposure rate and spectrum prediction with Java programming
AU - Şahin, Daǧistan
AU - Ünlü, Kenan
N1 - Funding Information:
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.
PY - 2009/10
Y1 - 2009/10
N2 - In order to envision the radiation exposure during Neutron Activation Analysis (NAA) experiments, a software called Activity Predictor is developed using Java™ 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.
AB - In order to envision the radiation exposure during Neutron Activation Analysis (NAA) experiments, a software called Activity Predictor is developed using Java™ 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.
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U2 - 10.1007/s10967-009-0316-z
DO - 10.1007/s10967-009-0316-z
M3 - Article
AN - SCOPUS:84890553787
SN - 0236-5731
VL - 282
SP - 161
EP - 165
JO - Journal of Radioanalytical and Nuclear Chemistry
JF - Journal of Radioanalytical and Nuclear Chemistry
IS - 1
ER -