Models for magnetospheric mass density and average ion mass including radial dependence

Analytical models for magnetospheric mass density, ρm, and average ion mass, M, were created from a database of ρm and electron density, ne, values from six spacecraft missions by making use of the Eureqa nonlinear genetic regression algorithm. All values of ρm were determined from Alfvén frequencie...

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Main Authors: Richard E. Denton, Kazue Takahashi, Kyungguk Min, David P. Hartley, Yukitoshi Nishimura, Matthew C. Digman
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2022.1049684/full
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author Richard E. Denton
Kazue Takahashi
Kyungguk Min
David P. Hartley
Yukitoshi Nishimura
Matthew C. Digman
Matthew C. Digman
author_facet Richard E. Denton
Kazue Takahashi
Kyungguk Min
David P. Hartley
Yukitoshi Nishimura
Matthew C. Digman
Matthew C. Digman
author_sort Richard E. Denton
collection DOAJ
description Analytical models for magnetospheric mass density, ρm, and average ion mass, M, were created from a database of ρm and electron density, ne, values from six spacecraft missions by making use of the Eureqa nonlinear genetic regression algorithm. All values of ρm were determined from Alfvén frequencies, and the values of ne were determined from plasma wave or spacecraft potential data. Models of varying complexity are listed. The most complex models appearing in this paper are capable of modeling ρm within a factor of 1.81, and M within a factor of 1.34 if ne is used as an input parameter, or within a factor of 1.45 if ne is not used. The most important parameters for modeling ρm are L, the solar EUV index F10.7, magnetic local time, MLT, the geomagnetic activity index Kp, and the solar wind dynamic pressure, Pdyn. The very simplest model for M depends on Kp. In more complex models for M including ne, the most important parameters are ne with L, F10.7, and Pdyn or Kp. In more complex models for M not including ne, the most important parameters are Kp, MLT, F10.7, L, and the auroral electrojet index, AE. Explanations for most of the dependencies are given. We also demonstrate the danger of calculating spatial dependence without taking account of different conditions sampled in different regions. Here we avoid that problem by using multivariant models.
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spelling doaj.art-b0b0c6335c20430f89bd518d9ce228da2022-12-22T03:01:23ZengFrontiers Media S.A.Frontiers in Astronomy and Space Sciences2296-987X2022-12-01910.3389/fspas.2022.10496841049684Models for magnetospheric mass density and average ion mass including radial dependenceRichard E. Denton0Kazue Takahashi1Kyungguk Min2David P. Hartley3Yukitoshi Nishimura4Matthew C. Digman5Matthew C. Digman6Department of Physics and Astronomy, Dartmouth College, Hanover, NH, United StatesApplied Physics Laboratory, Johns Hopkins University, Laurel, MD, United StatesDepartment of Astronomy and Space Science, Chungnam National University, Daejeon, South KoreaPhysics and Astronomy, University of Iowa, Iowa City, IA, United StatesCenter for Space Physics, Boston University, Boston, MA, United StatesDepartment of Physics and Astronomy, Dartmouth College, Hanover, NH, United StatesDepartment of Physics, Extreme Gravity Institute, Montana State University, Bozeman, MT, United StatesAnalytical models for magnetospheric mass density, ρm, and average ion mass, M, were created from a database of ρm and electron density, ne, values from six spacecraft missions by making use of the Eureqa nonlinear genetic regression algorithm. All values of ρm were determined from Alfvén frequencies, and the values of ne were determined from plasma wave or spacecraft potential data. Models of varying complexity are listed. The most complex models appearing in this paper are capable of modeling ρm within a factor of 1.81, and M within a factor of 1.34 if ne is used as an input parameter, or within a factor of 1.45 if ne is not used. The most important parameters for modeling ρm are L, the solar EUV index F10.7, magnetic local time, MLT, the geomagnetic activity index Kp, and the solar wind dynamic pressure, Pdyn. The very simplest model for M depends on Kp. In more complex models for M including ne, the most important parameters are ne with L, F10.7, and Pdyn or Kp. In more complex models for M not including ne, the most important parameters are Kp, MLT, F10.7, L, and the auroral electrojet index, AE. Explanations for most of the dependencies are given. We also demonstrate the danger of calculating spatial dependence without taking account of different conditions sampled in different regions. Here we avoid that problem by using multivariant models.https://www.frontiersin.org/articles/10.3389/fspas.2022.1049684/fullmagnetospheremass densityaverage ion massmodelsAlfvén wavesion composition
spellingShingle Richard E. Denton
Kazue Takahashi
Kyungguk Min
David P. Hartley
Yukitoshi Nishimura
Matthew C. Digman
Matthew C. Digman
Models for magnetospheric mass density and average ion mass including radial dependence
Frontiers in Astronomy and Space Sciences
magnetosphere
mass density
average ion mass
models
Alfvén waves
ion composition
title Models for magnetospheric mass density and average ion mass including radial dependence
title_full Models for magnetospheric mass density and average ion mass including radial dependence
title_fullStr Models for magnetospheric mass density and average ion mass including radial dependence
title_full_unstemmed Models for magnetospheric mass density and average ion mass including radial dependence
title_short Models for magnetospheric mass density and average ion mass including radial dependence
title_sort models for magnetospheric mass density and average ion mass including radial dependence
topic magnetosphere
mass density
average ion mass
models
Alfvén waves
ion composition
url https://www.frontiersin.org/articles/10.3389/fspas.2022.1049684/full
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