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Title: Absolute nuclear material assay

Abstract

A method of absolute nuclear material assay of an unknown source comprising counting neutrons from the unknown source and providing an absolute nuclear material assay utilizing a model to optimally compare to the measured count distributions. In one embodiment, the step of providing an absolute nuclear material assay comprises utilizing a random sampling of analytically computed fission chain distributions to generate a continuous time-evolving sequence of event-counts by spreading the fission chain distribution in time.

Inventors:
 [1];  [2];  [3]
  1. Pleasanton, CA
  2. Berkeley, CA
  3. Alamo, CA
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
993087
Patent Number(s):
7,756,237
Application Number:
11/244,088
Assignee:
Lawrence Livermore National Security, LLC (Livermore, CA) OAK
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

Citation Formats

Prasad, Manoj K, Snyderman, Neal J, and Rowland, Mark S. Absolute nuclear material assay. United States: N. p., 2010. Web.
Prasad, Manoj K, Snyderman, Neal J, & Rowland, Mark S. Absolute nuclear material assay. United States.
Prasad, Manoj K, Snyderman, Neal J, and Rowland, Mark S. Tue . "Absolute nuclear material assay". United States. doi:. https://www.osti.gov/servlets/purl/993087.
@article{osti_993087,
title = {Absolute nuclear material assay},
author = {Prasad, Manoj K and Snyderman, Neal J and Rowland, Mark S},
abstractNote = {A method of absolute nuclear material assay of an unknown source comprising counting neutrons from the unknown source and providing an absolute nuclear material assay utilizing a model to optimally compare to the measured count distributions. In one embodiment, the step of providing an absolute nuclear material assay comprises utilizing a random sampling of analytically computed fission chain distributions to generate a continuous time-evolving sequence of event-counts by spreading the fission chain distribution in time.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 13 00:00:00 EDT 2010},
month = {Tue Jul 13 00:00:00 EDT 2010}
}

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