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

Conference · Thu Dec 31 23:00:00 EST 1981

OSTI ID:6723719

Argentesi, F; Hafer, J F; Markin, J T; Shipley, J P

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 Lab., NM (USA)
• DOE Contract Number: W-7405-ENG-36
• OSTI ID: 6723719
• Report Number(s): LA-UR-82-2780; CONF-821119-4; ON: DE83000605
• Country of Publication: United States
• Language: English

Related Subjects

055001* -- Nuclear Fuels-- Safeguards
Inspection
& Accountability-- Technical Aspects
98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION
ACCOUNTING
ALGORITHMS
DETECTION
MANAGEMENT
MATHEMATICAL LOGIC
MONTE CARLO METHOD
NUCLEAR MATERIALS DIVERSION
NUCLEAR MATERIALS MANAGEMENT
REAL TIME SYSTEMS
SAFEGUARDS