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Title: Amplitude Models for Discrimination and Yield Estimation

Abstract

This seminar presentation describes amplitude models and yield estimations that look at the data in order to inform legislation. The following points were brought forth in the summary: global models that will predict three-component amplitudes (R-T-Z) were produced; Q models match regional geology; corrected source spectra can be used for discrimination and yield estimation; three-component data increase coverage and reduce scatter in source spectral estimates; three-component efforts must include distance-dependent effects; a community effort on instrument calibration is needed.

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:
1321659
Report Number(s):
LA-UR-16-26706
DOE Contract Number:
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE

Citation Formats

Phillips, William Scott. Amplitude Models for Discrimination and Yield Estimation. United States: N. p., 2016. Web. doi:10.2172/1321659.
Phillips, William Scott. Amplitude Models for Discrimination and Yield Estimation. United States. doi:10.2172/1321659.
Phillips, William Scott. Thu . "Amplitude Models for Discrimination and Yield Estimation". United States. doi:10.2172/1321659. https://www.osti.gov/servlets/purl/1321659.
@article{osti_1321659,
title = {Amplitude Models for Discrimination and Yield Estimation},
author = {Phillips, William Scott},
abstractNote = {This seminar presentation describes amplitude models and yield estimations that look at the data in order to inform legislation. The following points were brought forth in the summary: global models that will predict three-component amplitudes (R-T-Z) were produced; Q models match regional geology; corrected source spectra can be used for discrimination and yield estimation; three-component data increase coverage and reduce scatter in source spectral estimates; three-component efforts must include distance-dependent effects; a community effort on instrument calibration is needed.},
doi = {10.2172/1321659},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Sep 01 00:00:00 EDT 2016},
month = {Thu Sep 01 00:00:00 EDT 2016}
}

Technical Report:

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