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Automatic detection of mass-resolved ion conicsA processing algorithm to automatically detect a specific type of ion distribution (called the ion conic distribution) in data obtained from a space-based mass spectrometer has been devised. Automation of this task is necessary due to the sparseness of conic events within the very large databases typical of space plasma instruments. This paper reports on the algorithm used to perform this automated analysis, along with a description of the methods used to verify the algorithm and a summary of initial results on the characterization of the near-earth space plasma.
Document ID
19930060293
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Doherty, Mark F.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Bjorklund, Carolyn M.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Peterson, William K.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Collin, Henry L.
(Lockheed Missile & Space Co., Inc. Palo Alto, CA, United States)
Date Acquired
August 16, 2013
Publication Date
March 1, 1993
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Volume: 31
Issue: 2
ISSN: 0196-2892
Subject Category
Geophysics
Accession Number
93A44290
Funding Number(s)
CONTRACT_GRANT: NAS5-33032
Distribution Limits
Public
Copyright
Other

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