Published October 2007 | Version v1
Journal article

Using gamma-gamma coincidence measurements to validate Monte Carlo generated detector response functions

  • 1. Physics Department, Faculty of Science, UAE University, P.O. Box 17551, Al-Ain (United Arab Emirates)
  • 2. Center for Engineering Applications of Radioisotopes (CEAR), North Carolina State University, Raleigh, NC 27695-7909 (United States)
  • 3. Los Alamos National Laboratory, P.O. Box 1663, MS F663, Los Alamos, NM 87545 (United States)

Description

Monte Carlo simulation of gamma-ray transport for the purpose of performing elemental analysis of bulk samples requires the tracking of gamma rays in the sample and also in the detector(s) used. Detector response functions (DRF's) are an efficient and accurate variance reduction technique that greatly decreases the simulation time by substituting the tracking of gamma rays inside the detector by predefined single energy gamma-ray spectra. These spectra correspond to the average response of the detector for incident gamma rays. DRF's are generated by Monte Carlo methods and are benchmarked with experimental data. In this work, prompt gamma-gamma coincidence measurements are presented as a way to validate DRF's for high-energy gamma rays

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nimb.2007.04.137

Additional details

Identifiers

DOI
10.1016/j.nimb.2007.04.137;
PII
S0168-583X(07)00804-X;

Publishing Information

Journal Title
Nuclear Instruments and Methods in Physics Research. Section B, Beam Interactions with Materials and Atoms
Journal Volume
263
Journal Issue
1
Journal Page Range
p. 50-53
ISSN
0168-583X
CODEN
NIMBEU

Conference

Title
6. topical meeting on industrial radiation and radioisotope measurement applications
Dates
20-24 Jun 2005
Place
Hamilton, ON (Canada)

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
39049171
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTERIZED SIMULATION; EFFICIENCY; GAMMA RADIATION; GAMMA SPECTRA; MONTE CARLO METHOD; RESPONSE FUNCTIONS
Descriptors DEC
CALCULATION METHODS; ELECTROMAGNETIC RADIATION; FUNCTIONS; IONIZING RADIATIONS; RADIATIONS; SIMULATION; SPECTRA

Optional Information

Copyright
Copyright (c) 2007 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.