Activity, exposure rate and spectrum prediction with Java programming

Daǧistan Şahin, Kenan Ünlü

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)161-165
Number of pages5
JournalJournal of Radioanalytical and Nuclear Chemistry
Volume282
Issue number1
DOIs
StatePublished - Oct 1 2009

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Nuclear Energy and Engineering
  • Radiology Nuclear Medicine and imaging
  • Pollution
  • Spectroscopy
  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

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