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Title:
The MESSENGER Science Operations Center
Authors:
Winters, Helene L.; Domingue, Deborah L.; Choo, Teck H.; Espiritu, Raymond; Hash, Christopher; Malaret, Erick; Mick, Alan A.; Skura, Joseph P.; Steele, Joshua
Affiliation:
AA(The Johns Hopkins University Applied Physics Laboratory), AB(The Johns Hopkins University Applied Physics Laboratory), AC(The Johns Hopkins University Applied Physics Laboratory), AD(Applied Coherent Technology), AE(Applied Coherent Technology), AF(Applied Coherent Technology), AG(The Johns Hopkins University Applied Physics Laboratory), AH(The Johns Hopkins University Applied Physics Laboratory), AI(The Johns Hopkins University Applied Physics Laboratory)
Publication:
Space Science Reviews, Volume 131, Issue 1-4, pp. 601-623 (SSRv Homepage)
Publication Date:
08/2007
Origin:
SPRINGER
Keywords:
MESSENGER, Mercury, Science operations, Science planning, Data products, Data archiving, Planetary Data System
Abstract Copyright:
(c) 2007: Springer Science+Business Media B.V.
DOI:
10.1007/s11214-007-9257-4
Bibliographic Code:
2007SSRv..131..601W

Abstract

The MESSENGER Science Operations Center (SOC) is an integrated set of subsystems and personnel whose purpose is to obtain, provide, and preserve the scientific measurements and analysis that fulfill the objectives of the MErcury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) mission. The SOC has two main functional areas. The first is to facilitate science instrument planning and operational activities, including related spacecraft guidance and control operations, and to work closely with the Mission Operations Center to implement those plans. The second functional area, data management and analysis, involves the receipt of science-related telemetry, reformatting and cataloging this telemetry and related ancillary information, retaining the science data for use by the MESSENGER Science Team, and preparing data archives for delivery to the Planetary Data System; and the provision of operational assistance to the instrument and science teams in executing their algorithms and generating higher-level data products.
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