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Title: Building a Predictive Capability for Decision-Making that Supports MultiPEM

Abstract

Multi-phenomenological explosion monitoring (multiPEM) is a developing science that uses multiple geophysical signatures of explosions to better identify and characterize their sources. MultiPEM researchers seek to integrate explosion signatures together to provide stronger detection, parameter estimation, or screening capabilities between different sources or processes. This talk will address forming a predictive capability for screening waveform explosion signatures to support multiPEM.

Authors:
 [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1409803
Report Number(s):
LA-UR-17-30580
DOE Contract Number:
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Carmichael, Joshua Daniel. Building a Predictive Capability for Decision-Making that Supports MultiPEM. United States: N. p., 2017. Web. doi:10.2172/1409803.
Carmichael, Joshua Daniel. Building a Predictive Capability for Decision-Making that Supports MultiPEM. United States. doi:10.2172/1409803.
Carmichael, Joshua Daniel. 2017. "Building a Predictive Capability for Decision-Making that Supports MultiPEM". United States. doi:10.2172/1409803. https://www.osti.gov/servlets/purl/1409803.
@article{osti_1409803,
title = {Building a Predictive Capability for Decision-Making that Supports MultiPEM},
author = {Carmichael, Joshua Daniel},
abstractNote = {Multi-phenomenological explosion monitoring (multiPEM) is a developing science that uses multiple geophysical signatures of explosions to better identify and characterize their sources. MultiPEM researchers seek to integrate explosion signatures together to provide stronger detection, parameter estimation, or screening capabilities between different sources or processes. This talk will address forming a predictive capability for screening waveform explosion signatures to support multiPEM.},
doi = {10.2172/1409803},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2017,
month =
}

Technical Report:

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