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Title: Determination of errors in derived magnetic field directions in geosynchronous orbit: results from a statistical approach

Abstract

Our study aims to statistically estimate the errors in local magnetic field directions that are derived from electron directional distributions measured by Los Alamos National Laboratory geosynchronous (LANL GEO) satellites. First, by comparing derived and measured magnetic field directions along the GEO orbit to those calculated from three selected empirical global magnetic field models (including a static Olson and Pfitzer 1977 quiet magnetic field model, a simple dynamic Tsyganenko 1989 model, and a sophisticated dynamic Tsyganenko 2001 storm model), it is shown that the errors in both derived and modeled directions are at least comparable. Furthermore, using a newly developed proxy method as well as comparing results from empirical models, we are able to provide for the first time circumstantial evidence showing that derived magnetic field directions should statistically match the real magnetic directions better, with averaged errors < ~2°, than those from the three empirical models with averaged errors > ~5°. In addition, our results suggest that the errors in derived magnetic field directions do not depend much on magnetospheric activity, in contrast to the empirical field models. Finally, as applications of the above conclusions, we show examples of electron pitch angle distributions observed by LANL GEO and alsomore » take the derived magnetic field directions as the real ones so as to test the performance of empirical field models along the GEO orbits, with results suggesting dependence on solar cycles as well as satellite locations. Finally, this study demonstrates the validity and value of the method that infers local magnetic field directions from particle spin-resolved distributions.« less

Authors:
 [1];  [1];  [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
OSTI Identifier:
1325839
Alternate Identifier(s):
OSTI ID: 1334136
Report Number(s):
LA-UR-15-27475
Journal ID: ISSN 1432-0576
Grant/Contract Number:
AC52-06NA25396; Internal Funding
Resource Type:
Journal Article: Published Article
Journal Name:
Annales Geophysicae (Online)
Additional Journal Information:
Journal Name: Annales Geophysicae (Online); Journal Volume: 34; Journal Issue: 9; Journal ID: ISSN 1432-0576
Publisher:
European Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; magnetospheric physics; energetic particles trapped; storms and substorms; intruments and techniques

Citation Formats

Chen, Yue, Cunningham, Gregory, and Henderson, Michael. Determination of errors in derived magnetic field directions in geosynchronous orbit: results from a statistical approach. United States: N. p., 2016. Web. doi:10.5194/angeo-34-831-2016.
Chen, Yue, Cunningham, Gregory, & Henderson, Michael. Determination of errors in derived magnetic field directions in geosynchronous orbit: results from a statistical approach. United States. doi:10.5194/angeo-34-831-2016.
Chen, Yue, Cunningham, Gregory, and Henderson, Michael. Wed . "Determination of errors in derived magnetic field directions in geosynchronous orbit: results from a statistical approach". United States. doi:10.5194/angeo-34-831-2016.
@article{osti_1325839,
title = {Determination of errors in derived magnetic field directions in geosynchronous orbit: results from a statistical approach},
author = {Chen, Yue and Cunningham, Gregory and Henderson, Michael},
abstractNote = {Our study aims to statistically estimate the errors in local magnetic field directions that are derived from electron directional distributions measured by Los Alamos National Laboratory geosynchronous (LANL GEO) satellites. First, by comparing derived and measured magnetic field directions along the GEO orbit to those calculated from three selected empirical global magnetic field models (including a static Olson and Pfitzer 1977 quiet magnetic field model, a simple dynamic Tsyganenko 1989 model, and a sophisticated dynamic Tsyganenko 2001 storm model), it is shown that the errors in both derived and modeled directions are at least comparable. Furthermore, using a newly developed proxy method as well as comparing results from empirical models, we are able to provide for the first time circumstantial evidence showing that derived magnetic field directions should statistically match the real magnetic directions better, with averaged errors < ~2°, than those from the three empirical models with averaged errors > ~5°. In addition, our results suggest that the errors in derived magnetic field directions do not depend much on magnetospheric activity, in contrast to the empirical field models. Finally, as applications of the above conclusions, we show examples of electron pitch angle distributions observed by LANL GEO and also take the derived magnetic field directions as the real ones so as to test the performance of empirical field models along the GEO orbits, with results suggesting dependence on solar cycles as well as satellite locations. Finally, this study demonstrates the validity and value of the method that infers local magnetic field directions from particle spin-resolved distributions.},
doi = {10.5194/angeo-34-831-2016},
journal = {Annales Geophysicae (Online)},
number = 9,
volume = 34,
place = {United States},
year = {Wed Sep 21 00:00:00 EDT 2016},
month = {Wed Sep 21 00:00:00 EDT 2016}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.5194/angeo-34-831-2016

Citation Metrics:
Cited by: 1work
Citation information provided by
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