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Title: Loss-pattern identification in near-real-time accounting systems

Conference ·
OSTI ID:6723719

To maximize the benefits from an advanced safeguards technique such as near-real-time accounting (NRTA), sophisticated methods of analyzing sequential materials accounting data are necessary. The methods must be capable of controlling the overall false-alarm rate while assuring good power of detection against all possible diversion scenarios. A method drawn from the field of pattern recognition and related to the alarm-sequence chart appears to be promising. Power curves based on Monte Carlo calculations illustrate the improvements over more conventional methods. 3 figures, 2 tables.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
DOE Contract Number:
W-7405-ENG-36
OSTI ID:
6723719
Report Number(s):
LA-UR-82-2780; CONF-821119-4; ON: DE83000605
Resource Relation:
Conference: International symposium on recent advances in nuclear materials safeguards, Nienna, Australia, 8 Nov 1982; Other Information: Portions of document are illegible
Country of Publication:
United States
Language:
English