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Title: 24.1.3.3 Quarterly Report FY18 Q1

Abstract

Here, we will develop an enhanced statistical framework to evaluate environmental swipe samples collected at nuclear facilities with the goal of identifying anomalies associated with potential undeclared activities. Our approach will be based on Bayesian methodology and time series analysis. This overall framework should result in a more cost effective and operationally effective approach to environmental swipe sample analysis and interpretation.

Authors:
 [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1418920
Report Number(s):
LLNL-SR-744675
TRN: US1801182
DOE Contract Number:
AC52-07NA27344
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS; 98 NUCLEAR DISARMAMENT, SAFEGUARDS AND PHYSICAL PROTECTION; TIME-SERIES ANALYSIS; NUCLEAR FACILITIES; RADIATION DETECTION

Citation Formats

Wurtz, Ron E. 24.1.3.3 Quarterly Report FY18 Q1. United States: N. p., 2018. Web. doi:10.2172/1418920.
Wurtz, Ron E. 24.1.3.3 Quarterly Report FY18 Q1. United States. doi:10.2172/1418920.
Wurtz, Ron E. Wed . "24.1.3.3 Quarterly Report FY18 Q1". United States. doi:10.2172/1418920. https://www.osti.gov/servlets/purl/1418920.
@article{osti_1418920,
title = {24.1.3.3 Quarterly Report FY18 Q1},
author = {Wurtz, Ron E.},
abstractNote = {Here, we will develop an enhanced statistical framework to evaluate environmental swipe samples collected at nuclear facilities with the goal of identifying anomalies associated with potential undeclared activities. Our approach will be based on Bayesian methodology and time series analysis. This overall framework should result in a more cost effective and operationally effective approach to environmental swipe sample analysis and interpretation.},
doi = {10.2172/1418920},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 17 00:00:00 EST 2018},
month = {Wed Jan 17 00:00:00 EST 2018}
}

Technical Report:

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