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The Magnetospheric Multiscale Magnetometers
Authors:C T Russell  B J Anderson  W Baumjohann  K R Bromund  D Dearborn  D Fischer  G Le  H K Leinweber  D Leneman  W Magnes  J D Means  M B Moldwin  R Nakamura  D Pierce  F Plaschke  K M Rowe  J A Slavin  R J Strangeway  R Torbert  C Hagen  I Jernej  A Valavanoglou  I Richter
Institution:1.University of California, Los Angeles,Los Angeles,USA;2.Applied Physics Laboratory,The John Hopkins University,Laurel,USA;3.Space Research Institute,Austrian Academy of Sciences,Graz,Austria;4.Goddard Space Flight Center,Greenbelt,USA;5.University of Michigan,Ann Arbor,USA;6.Jet Propulsion Laboratory,Pasadena,USA;7.University of New Hampshire,Durham,USA;8.Institut fuer Geophysik und Extraterr. Physik,Technische Universitaet Braunschweig,Braunschweig,Germany
Abstract:The success of the Magnetospheric Multiscale mission depends on the accurate measurement of the magnetic field on all four spacecraft. To ensure this success, two independently designed and built fluxgate magnetometers were developed, avoiding single-point failures. The magnetometers were dubbed the digital fluxgate (DFG), which uses an ASIC implementation and was supplied by the Space Research Institute of the Austrian Academy of Sciences and the analogue magnetometer (AFG) with a more traditional circuit board design supplied by the University of California, Los Angeles. A stringent magnetic cleanliness program was executed under the supervision of the Johns Hopkins University’s Applied Physics Laboratory. To achieve mission objectives, the calibration determined on the ground will be refined in space to ensure all eight magnetometers are precisely inter-calibrated. Near real-time data plays a key role in the transmission of high-resolution observations stored on board so rapid processing of the low-resolution data is required. This article describes these instruments, the magnetic cleanliness program, and the instrument pre-launch calibrations, the planned in-flight calibration program, and the information flow that provides the data on the rapid time scale needed for mission success.
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