ISD97, a computer program to analyze data from a series of in situ measurements on a grid and identify potential localized areas of elevated activity | Zendy

Marcel Reginatto | Zendy; P. Shebell | Zendy; Kevin M. Miller | Zendy

Open Access

ISD97, a computer program to analyze data from a series of in situ measurements on a grid and identify potential localized areas of elevated activity

Author(s) -

Marcel Reginatto,

P. Shebell,

Kevin M. Miller

Publication year - 1997

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/663523

Subject(s) - deconvolution , grid , computer program , in situ , series (stratigraphy) , code (set theory) , algorithm , computer science , data series , principle of maximum entropy , field (mathematics) , remote sensing , data mining , cartography , mathematics , geology , physics , meteorology , geography , geodesy , artificial intelligence , paleontology , set (abstract data type) , pure mathematics , econometrics , programming language , operating system

A computer program, ISD97, was developed to analyze data from a series of in situ measurements on a grid and identify potential localized areas of elevated activity. The ISD97 code operates using a two-step process. A deconvolution of the data is carried out using the maximum entropy method, and a map of activity on the ground that fits the data within experimental error is generated. This maximum entropy map is then analyzed to determine the locations and magnitudes of potential areas of elevated activity that are consistent with the data. New deconvolutions are then carried out for each potential area of elevated activity identified by the code. Properties of the algorithm are demonstrated using data from actual field measurements

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