TY - JOUR
T1 - Optimized merging of search coil and fluxgate data for MMS
AU - Fischer, David
AU - Magnes, Werner
AU - Hagen, Christian
AU - Dors, Ivan
AU - Chutter, Mark W.
AU - Needell, Jerry
AU - Torbert, Roy B.
AU - Le Contel, Olivier
AU - Strangeway, Robert J.
AU - Kubin, Gernot
AU - Valavanoglou, Aris
AU - Plaschke, Ferdinand
AU - Nakamura, Rumi
AU - Mirioni, Laurent
AU - Russell, Christopher T.
AU - Leinweber, Hannes K.
AU - Bromund, Kenneth R.
AU - Le, Guan
AU - Kepko, Lawrence
AU - Anderson, Brian J.
AU - Slavin, James A.
AU - Baumjohann, Wolfgang
N1 - Publisher Copyright:
© Author(s) 2016.
PY - 2016/11/17
Y1 - 2016/11/17
N2 - 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 100ĝ€μs between the different magnetometer instruments.
AB - 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 100ĝ€μs between the different magnetometer instruments.
U2 - 10.5194/gi-5-521-2016
DO - 10.5194/gi-5-521-2016
M3 - Article
AN - SCOPUS:84996963926
SN - 2193-0856
VL - 5
SP - 521
EP - 530
JO - Geoscientific Instrumentation, Methods and Data Systems
JF - Geoscientific Instrumentation, Methods and Data Systems
IS - 2
ER -