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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Main Authors: 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
Format: Article
Language:English
Published: Copernicus Publications 2016-11-01
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.
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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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