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Title: Analysis of high-fold gamma data

Abstract

Historically, {gamma}-{gamma} and {gamma}-{gamma}-{gamma} coincidence spectra were utilized to build nuclear level schemes. With the development of large detector arrays, it has became possible to analyze higher fold coincidence data sets. This paper briefly reports on software to analyze 4-fold coincidence data sets that allows creation of 4-fold histograms (hypercubes) of at least 1024 channels per side (corresponding to a 43 gigachannel data space) that will fit onto a few gigabytes of disk space, and extraction of triple-gated spectra in a few seconds. Future detector arrays may have even much higher efficiencies, and detect as many as 15 or 20 {gamma} rays simultaneously; such data will require very different algorithms for storage and analysis. Difficulties inherent in the analysis of such data are discussed, and two possible new solutions are presented, namely adaptive list-mode systems and 'list-list-mode' storage.

Authors:
 [1];  [2];  [3]
  1. Physics Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831 (United States)
  2. Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720 (United States)
  3. Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee 37235 (United States)
Publication Date:
OSTI Identifier:
21208261
Resource Type:
Journal Article
Journal Name:
AIP Conference Proceedings
Additional Journal Information:
Journal Volume: 481; Journal Issue: 1; Conference: Nuclear structure 98 conference, Gatlinburg, TN (United States), 10-15 Aug 1998; Other Information: DOI: 10.1063/1.59536; (c) 1999 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-243X
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; ALGORITHMS; ANGULAR DISTRIBUTION; COINCIDENCE SPECTROMETRY; COMPUTER CALCULATIONS; COMPUTER CODES; DATA ANALYSIS; DATA PROCESSING; EFFICIENCY; ENERGY LEVELS; GAMMA SPECTRA; GAMMA SPECTROMETERS; GE SEMICONDUCTOR DETECTORS; MATHEMATICAL SOLUTIONS; SENSITIVITY ANALYSIS

Citation Formats

Radford, D. C., Cromaz, M., and Beyer, C. J. Analysis of high-fold gamma data. United States: N. p., 1999. Web. doi:10.1063/1.59536.
Radford, D. C., Cromaz, M., & Beyer, C. J. Analysis of high-fold gamma data. United States. doi:10.1063/1.59536.
Radford, D. C., Cromaz, M., and Beyer, C. J. Thu . "Analysis of high-fold gamma data". United States. doi:10.1063/1.59536.
@article{osti_21208261,
title = {Analysis of high-fold gamma data},
author = {Radford, D. C. and Cromaz, M. and Beyer, C. J.},
abstractNote = {Historically, {gamma}-{gamma} and {gamma}-{gamma}-{gamma} coincidence spectra were utilized to build nuclear level schemes. With the development of large detector arrays, it has became possible to analyze higher fold coincidence data sets. This paper briefly reports on software to analyze 4-fold coincidence data sets that allows creation of 4-fold histograms (hypercubes) of at least 1024 channels per side (corresponding to a 43 gigachannel data space) that will fit onto a few gigabytes of disk space, and extraction of triple-gated spectra in a few seconds. Future detector arrays may have even much higher efficiencies, and detect as many as 15 or 20 {gamma} rays simultaneously; such data will require very different algorithms for storage and analysis. Difficulties inherent in the analysis of such data are discussed, and two possible new solutions are presented, namely adaptive list-mode systems and 'list-list-mode' storage.},
doi = {10.1063/1.59536},
journal = {AIP Conference Proceedings},
issn = {0094-243X},
number = 1,
volume = 481,
place = {United States},
year = {1999},
month = {9}
}