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Application of generalized inverse for analysis of magnetic anomalies due to a dyke model - Some numerical experiments

IR@NIO: CSIR-National Institute Of Oceanography, Goa

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Creator Rao, M.M.M.
Murty, T.V.R.
SuryaPrakash, S.
Chandramouli, P.
Murthy, K.S.R.
 
Date 2008-02-22T05:30:14Z
2008-02-22T05:30:14Z
2005
 
Identifier 52 ppp.
http://drs.nio.org/drs/handle/2264/954
 
Description Forward and inverse methods of magnetic interpretation have been used to estimate the parameters of dyke like intrusion over the eastern continental shelf of India. In the forward problem, the tentative parameters of the causative source are assumed and anomalies are calculated using the anomaly equation, while inverse problem refers to methods of tracing the boundaries or outlines of anomalous bodies using an iterative approach. While solving the inverse problem data kernel has been generated through the model (i.e. partial derivatives of magnetic anomaly function with respect to model parameters at each station forming the kernel). In solving the coupled eigenvalue problem of covariance matrices of data kernel, Singular Value Decomposition (SVD) has been performed to build Generalised Inverse Operator (GIO). This GIO is operated on the observed anomaly (with reference to the calculated) to yield improved model parameters. Data and model resolution matrices are computed to check the correctness of the solution and further analysis. The marine magnetic total field anomaly of continental shelf of Visakhapatnam is interpreted using Generalised Inverse (GI) technique, which revealed the causative source of the anomaly as a dyke model at a depth of 120 m below seabed
 
Language en
 
Publisher National Institute of Oceanography
 
Rights Copyright [2005]. It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice by copyright holder that the rights are voilated then the item would be withdrawn.
 
Title Application of generalized inverse for analysis of magnetic anomalies due to a dyke model - Some numerical experiments