DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

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.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1083288
Patent Number(s):
8428916
Application Number:
12/390,611
Assignee:
Los Alamos National Security, LLC (Los Alamos, NM)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
G - PHYSICS G01 - MEASURING G01W - METEOROLOGY
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}
}

Works referenced in this record:

System identification, modeling, and prediction for space weather environments
journal, January 2000


Approximation by superpositions of a sigmoidal function
journal, December 1989


Multisatellite determination of the relativistic electron phase space density at geosynchronous orbit: An integrated investigation during geomagnetic storm times: STORM
journal, November 2007


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


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


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


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


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


Storm-time distortion of the inner magnetosphere: How severe can it get?: DISTORTION OF THE INNER MAGNETOSPHERE
journal, May 2003


The energization of relativistic electrons in the outer Van Allen radiation belt
journal, July 2007


Progress in space weather predictions and applications
journal, January 2005


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


Outer zone energetic electron environment update
conference, January 1998


Newton-Type Minimization via the Lanczos Method
journal, August 1984


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


System and method for geomagnetic and ionospheric forecasting
patent, September 1997


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