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Fast Plasma Instrument for MMS: Data Compression Simulation ResultsMagnetospheric Multiscale (MMS) mission will study small-scale reconnection structures and their rapid motions from closely spaced platforms using instruments capable of high angular, energy, and time resolution measurements. To meet these requirements, the Fast Plasma Instrument (FPI) consists of eight (8) identical half top-hat electron sensors and eights (8) identical ion sensors and an Instrument Data Processing Unit (IDPU). The sensors (electron or ion) are grouped into pairs whose 6 deg x 180 deg fields-of-view (FOV) are set 90 deg apart. Each sensor is equipped with electrostatic aperture steering to allow the sensor to scan a 45 deg x 180 deg fan about its nominal viewing (0 deg deflection) direction. Each pair of sensors, known as the Dual Electron Spectrometer (DES) and the Dual Ion Spectrometer (DIS), occupies a quadrant on the MMS spacecraft and the combination of the eight electron/ion sensors, employing aperture steering, image the full-sky every 30-ms (electrons) and 150-ms (ions), respectively. To probe the results in the DES complement of a given spacecraft generating 6.5-Mbs(exp -1) of electron data while the DIS generates 1.1-Mbs(exp -1) of ion data yielding an FPI total data rate of 6.6-MBs(exp -1). The FPI electron/ion data is collected by the IDPU then transmitted to the Central Data Instrument Processor (CIDP) on the spacecraft for science interest ranking. Only data sequences that contain the greatest amount of temporal/spatial structure will be intelligently down-linked by the spacecraft. Currently, the FPI data rate allocation to the CIDP is 1.5-Mbs(exp -1). Consequently, the FPI-IDPU must employ data/image compression to meet this CIDP telemetry allocation. Here, we present simulations of the CCSDS 122.0-B-1 algorithm-based compression of the FPI-DES electron data. Compression analysis is based upon a seed of re-processed Cluster/PEACE electron measurements. Topics to be discussed include: review of compression algorithm; data quality; data formatting/organization; and, implications for data/matrix pruning. To conclude a presentation of the base-lined FPI data compression approach is provided.
Document ID
20090001867
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Barrie, A.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Adrian, Mark L.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Yeh, P.-S.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Winkert, G. E.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Lobell, J. V.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Vinas, A.F.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Simpson, D. J.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Moore, T. E.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 24, 2013
Publication Date
November 13, 2008
Subject Category
Instrumentation And Photography
Meeting Information
Meeting: American Geophysical Union Meeting
Location: San Francisco, CA
Country: United States
Start Date: December 13, 2008
End Date: December 20, 2008
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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