Optimized merging of search coil and fluxgate data for MMS
The Magnetospheric Multiscale mission (MMS) targets the characterization of fine-scale current structures in the Earth's tail and magnetopause. The high speed of these structures, when traversing one of the MMS spacecraft, creates magnetic field signatures that cross the sensitive frequency ban...
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Copernicus Publications
2016-11-01
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Series: | Geoscientific Instrumentation, Methods and Data Systems |
Online Access: | http://www.geosci-instrum-method-data-syst.net/5/521/2016/gi-5-521-2016.pdf |
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author | D. Fischer W. Magnes C. Hagen I. Dors M. W. Chutter J. Needell R. B. Torbert O. Le Contel R. J. Strangeway G. Kubin A. Valavanoglou F. Plaschke R. Nakamura L. Mirioni C. T. Russell H. K. Leinweber K. R. Bromund G. Le L. Kepko B. J. Anderson J. A. Slavin W. Baumjohann |
author_facet | D. Fischer W. Magnes C. Hagen I. Dors M. W. Chutter J. Needell R. B. Torbert O. Le Contel R. J. Strangeway G. Kubin A. Valavanoglou F. Plaschke R. Nakamura L. Mirioni C. T. Russell H. K. Leinweber K. R. Bromund G. Le L. Kepko B. J. Anderson J. A. Slavin W. Baumjohann |
author_sort | D. Fischer |
collection | DOAJ |
description | The Magnetospheric Multiscale mission (MMS) targets the characterization of
fine-scale current structures in the Earth's tail and magnetopause. The high
speed of these structures, when traversing one of the MMS spacecraft, creates
magnetic field signatures that cross the sensitive frequency bands of both
search coil and fluxgate magnetometers. Higher data quality for analysis of
these events can be achieved by combining data from both instrument types and
using the frequency bands with best sensitivity and signal-to-noise ratio
from both sensors. This can be achieved by a model-based frequency
compensation approach which requires the precise knowledge of instrument gain
and phase properties. We discuss relevant aspects of the instrument design
and the ground calibration activities, describe the model development and explain the application on in-flight data. Finally, we show the precision of this method by comparison of in-flight data. It confirms unity gain and a time
difference of less than 100 µs between the different magnetometer instruments. |
first_indexed | 2024-04-12T05:18:20Z |
format | Article |
id | doaj.art-838b5dbf5f264761add8110744aedc2f |
institution | Directory Open Access Journal |
issn | 2193-0856 2193-0864 |
language | English |
last_indexed | 2024-04-12T05:18:20Z |
publishDate | 2016-11-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Geoscientific Instrumentation, Methods and Data Systems |
spelling | doaj.art-838b5dbf5f264761add8110744aedc2f2022-12-22T03:46:34ZengCopernicus PublicationsGeoscientific Instrumentation, Methods and Data Systems2193-08562193-08642016-11-015252153010.5194/gi-5-521-2016Optimized merging of search coil and fluxgate data for MMSD. Fischer0W. Magnes1C. Hagen2I. Dors3M. W. Chutter4J. Needell5R. B. Torbert6O. Le Contel7R. J. Strangeway8G. Kubin9A. Valavanoglou10F. Plaschke11R. Nakamura12L. Mirioni13C. T. Russell14H. K. Leinweber15K. R. Bromund16G. Le17L. Kepko18B. J. Anderson19J. A. Slavin20W. Baumjohann21Space Research Institute, Austrian Academy of Sciences, Graz, AustriaSpace Research Institute, Austrian Academy of Sciences, Graz, AustriaSpace Research Institute, Austrian Academy of Sciences, Graz, AustriaSpace Plasma/Magnetospheric Physics, University of New Hampshire, Durham, USASpace Plasma/Magnetospheric Physics, University of New Hampshire, Durham, USASpace Plasma/Magnetospheric Physics, University of New Hampshire, Durham, USASpace Plasma/Magnetospheric Physics, University of New Hampshire, Durham, USALaboratoire de Physique des Plasmas – UMR7648, CNRS/École Polytechnique/UPMC/Univ. Paris Sud/Obs. de Paris, Paris, FranceInstitute of Geophysics and Planetary Physics, University of California, Los Angeles, USASignal Processing and Speech Communication Laboratory, Graz University of Technology, Graz, AustriaSpace Research Institute, Austrian Academy of Sciences, Graz, AustriaSpace Research Institute, Austrian Academy of Sciences, Graz, AustriaSpace Research Institute, Austrian Academy of Sciences, Graz, AustriaLaboratoire de Physique des Plasmas – UMR7648, CNRS/École Polytechnique/UPMC/Univ. Paris Sud/Obs. de Paris, Paris, FranceInstitute of Geophysics and Planetary Physics, University of California, Los Angeles, USAInstitute of Geophysics and Planetary Physics, University of California, Los Angeles, USAGoddard Space Flight Center, NASA, Greenbelt, USAGoddard Space Flight Center, NASA, Greenbelt, USAGoddard Space Flight Center, NASA, Greenbelt, USAApplied Physics Laboratory, John Hopkins University, Laurel, USAClimate and Space Sciences and Engineering, University of Michigan, Ann Arbor, USASpace Research Institute, Austrian Academy of Sciences, Graz, AustriaThe Magnetospheric Multiscale mission (MMS) targets the characterization of fine-scale current structures in the Earth's tail and magnetopause. The high speed of these structures, when traversing one of the MMS spacecraft, creates magnetic field signatures that cross the sensitive frequency bands of both search coil and fluxgate magnetometers. Higher data quality for analysis of these events can be achieved by combining data from both instrument types and using the frequency bands with best sensitivity and signal-to-noise ratio from both sensors. This can be achieved by a model-based frequency compensation approach which requires the precise knowledge of instrument gain and phase properties. We discuss relevant aspects of the instrument design and the ground calibration activities, describe the model development and explain the application on in-flight data. Finally, we show the precision of this method by comparison of in-flight data. It confirms unity gain and a time difference of less than 100 µs between the different magnetometer instruments.http://www.geosci-instrum-method-data-syst.net/5/521/2016/gi-5-521-2016.pdf |
spellingShingle | D. Fischer W. Magnes C. Hagen I. Dors M. W. Chutter J. Needell R. B. Torbert O. Le Contel R. J. Strangeway G. Kubin A. Valavanoglou F. Plaschke R. Nakamura L. Mirioni C. T. Russell H. K. Leinweber K. R. Bromund G. Le L. Kepko B. J. Anderson J. A. Slavin W. Baumjohann Optimized merging of search coil and fluxgate data for MMS Geoscientific Instrumentation, Methods and Data Systems |
title | Optimized merging of search coil and fluxgate data for MMS |
title_full | Optimized merging of search coil and fluxgate data for MMS |
title_fullStr | Optimized merging of search coil and fluxgate data for MMS |
title_full_unstemmed | Optimized merging of search coil and fluxgate data for MMS |
title_short | Optimized merging of search coil and fluxgate data for MMS |
title_sort | optimized merging of search coil and fluxgate data for mms |
url | http://www.geosci-instrum-method-data-syst.net/5/521/2016/gi-5-521-2016.pdf |
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