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Geoscientific Instrumentation, Methods and Data Systems An interactive open-access journal of the European Geosciences Union
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Volume 5, issue 2
Geosci. Instrum. Method. Data Syst., 5, 521-530, 2016
https://doi.org/10.5194/gi-5-521-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Instrum. Method. Data Syst., 5, 521-530, 2016
https://doi.org/10.5194/gi-5-521-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 17 Nov 2016

Research article | 17 Nov 2016

Optimized merging of search coil and fluxgate data for MMS

David Fischer1,5, Werner Magnes1, Christian Hagen1, Ivan Dors2, Mark W. Chutter2, Jerry Needell2, Roy B. Torbert2, Olivier Le Contel3, Robert J. Strangeway4, Gernot Kubin5, Aris Valavanoglou1, Ferdinand Plaschke1, Rumi Nakamura1, Laurent Mirioni3, Christopher T. Russell4, Hannes K. Leinweber4, Kenneth R. Bromund6, Guan Le6, Lawrence Kepko6, Brian J. Anderson7, James A. Slavin8, and Wolfgang Baumjohann1 David Fischer et al.
  • 1Space Research Institute, Austrian Academy of Sciences, Graz, Austria
  • 2Space Plasma/Magnetospheric Physics, University of New Hampshire, Durham, USA
  • 3Laboratoire de Physique des Plasmas – UMR7648, CNRS/École Polytechnique/UPMC/Univ. Paris Sud/Obs. de Paris, Paris, France
  • 4Institute of Geophysics and Planetary Physics, University of California, Los Angeles, USA
  • 5Signal Processing and Speech Communication Laboratory, Graz University of Technology, Graz, Austria
  • 6Goddard Space Flight Center, NASA, Greenbelt, USA
  • 7Applied Physics Laboratory, John Hopkins University, Laurel, USA
  • 8Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, USA

Abstract. 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 100µs between the different magnetometer instruments.

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This paper describes frequency and timing calibration, modeling and data processing and calibration for MMS magnetometers, resulting in a merged search choil and fluxgate data product.
This paper describes frequency and timing calibration, modeling and data processing and...
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