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Title: Modeling of the radiation belt megnetosphere in decisional timeframes

Abstract

Systems and methods for calculating L* in the magnetosphere with essentially the same accuracy as with a physics based model at many times the speed by developing a surrogate trained to be a surrogate for the physics-based model. The trained model can then beneficially process input data falling within the training range of the surrogate model. The surrogate model can be a feedforward neural network and the physics-based model can be the TSK03 model. Operatively, the surrogate model can use parameters on which the physics-based model was based, and/or spatial data for the location where L* is to be calculated. Surrogate models should be provided for each of a plurality of pitch angles. Accordingly, a surrogate model having a closed drift shell can be used from the plurality of models. The feedforward neural network can have a plurality of input-layer units, there being at least one input-layer unit for each physics-based model parameter, a plurality of hidden layer units and at least one output unit for the value of L*.

Inventors:
; ;
Issue Date:
Research Org.:
LANL (Los Alamos National Laboratory (LANL), Los Alamos, NM (United States))
Sponsoring Org.:
USDOE
OSTI Identifier:
1083288
Patent Number(s):
8,428,916
Application Number:
12/390,611
Assignee:
Los Alamos National Security, LLC (Los Alamos, NM)
DOE Contract Number:  
AC52-06NA25396
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Koller, Josef, Reeves, Geoffrey D, and Friedel, Reiner H.W. Modeling of the radiation belt megnetosphere in decisional timeframes. United States: N. p., 2013. Web.
Koller, Josef, Reeves, Geoffrey D, & Friedel, Reiner H.W. Modeling of the radiation belt megnetosphere in decisional timeframes. United States.
Koller, Josef, Reeves, Geoffrey D, and Friedel, Reiner H.W. Tue . "Modeling of the radiation belt megnetosphere in decisional timeframes". United States. https://www.osti.gov/servlets/purl/1083288.
@article{osti_1083288,
title = {Modeling of the radiation belt megnetosphere in decisional timeframes},
author = {Koller, Josef and Reeves, Geoffrey D and Friedel, Reiner H.W.},
abstractNote = {Systems and methods for calculating L* in the magnetosphere with essentially the same accuracy as with a physics based model at many times the speed by developing a surrogate trained to be a surrogate for the physics-based model. The trained model can then beneficially process input data falling within the training range of the surrogate model. The surrogate model can be a feedforward neural network and the physics-based model can be the TSK03 model. Operatively, the surrogate model can use parameters on which the physics-based model was based, and/or spatial data for the location where L* is to be calculated. Surrogate models should be provided for each of a plurality of pitch angles. Accordingly, a surrogate model having a closed drift shell can be used from the plurality of models. The feedforward neural network can have a plurality of input-layer units, there being at least one input-layer unit for each physics-based model parameter, a plurality of hidden layer units and at least one output unit for the value of L*.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {4}
}

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Works referenced in this record:

A statistical comparison of commonly used external magnetic field models: A COMPARISON OF MAGNETIC FIELD MODELS
journal, October 2008

  • McCollough, J. P.; Gannon, J. L.; Baker, D. N.
  • Space Weather, Vol. 6, Issue 10
  • DOI: 10.1029/2008SW000391

Relativistic electrons in the outer radiation belt: Differentiating between acceleration mechanisms
journal, January 2004


Identifying the radiation belt source region by data assimilation: RADIATION BELT DATA ASSIMILATION
journal, June 2007

  • Koller, J.; Chen, Y.; Reeves, G. D.
  • Journal of Geophysical Research: Space Physics, Vol. 112, Issue A6
  • DOI: 10.1029/2006JA012196

Outer zone energetic electron environment update
conference, January 1998


A quantitative assessment of empirical magnetic field models at geosynchronous orbit during magnetic storms: TEST MAGNETIC FIELD MODELS
journal, April 2008

  • Huang, Chia-Lin; Spence, Harlan E.; Singer, Howard J.
  • Journal of Geophysical Research: Space Physics, Vol. 113, Issue A4
  • DOI: 10.1029/2007JA012623

A model of the near magnetosphere with a dawn-dusk asymmetry 1. Mathematical structure: A NEW MAGNETOSPHERE MAGNETIC FIELD MODEL, 1
journal, August 2002

  • Tsyganenko, N. A.
  • Journal of Geophysical Research: Space Physics, Vol. 107, Issue A8
  • DOI: 10.1029/2001JA000219

Modeling the dynamics of the inner magnetosphere during strong geomagnetic storms
journal, January 2005


Universal approximation bounds for superpositions of a sigmoidal function
journal, May 1993

  • Barron, A. R.
  • IEEE Transactions on Information Theory, Vol. 39, Issue 3
  • DOI: 10.1109/18.256500

Approximation and estimation bounds for artificial neural networks
journal, January 1994


Radiation Belt Storm Probes: A New Mission for Space Weather Forecasting
journal, November 2007


A neural network model of the relativistic electron flux at geosynchronous orbit
journal, January 1991

  • Koons, H. C.; Gorney, D. J.
  • Journal of Geophysical Research, Vol. 96, Issue A4
  • DOI: 10.1029/90JA02380

Progress in space weather predictions and applications
journal, January 2005


Space environment effects on geostationary spacecraft: Analysis and prediction
journal, January 2000