Modeling the Earth’s Crust Using Synthetic Receiver Function Data with Nearests Neighborhood Method

A study to model the Earth's crust from a receiver-function data have been carried out In this research we will dis­ cuss two methods which are member of a Monte Carlo family, i.e. Metropolis and Neighborhood search algorithm. Monte Carlo method was studied since the characteristics of...

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Main Author: Wiwit, Suryanto
Format: Article
Language:English
Published: Physics Department Sebelas Maret University 2011
Subjects:
Online Access:https://repository.ugm.ac.id/97167/1/15.pdf
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author Wiwit, Suryanto
author_facet Wiwit, Suryanto
author_sort Wiwit, Suryanto
collection UGM
description A study to model the Earth's crust from a receiver-function data have been carried out In this research we will dis­ cuss two methods which are member of a Monte Carlo family, i.e. Metropolis and Neighborhood search algorithm. Monte Carlo method was studied since the characteristics of receiver-function data that are usually mixed with coda waves that follow the P wave and S wave. Such a conventional methods (i.e. Marquadt-Lavenberg) was usually diffi­ cult to get the best model for a scatter data of this kind. The algoritm were tested using a synthetic data to see the per­ formance of this method. The results show that this method is good enough to get the desired velocity model. In the future this method will be used to process the real observation oata from MERAMEX project
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spelling oai:generic.eprints.org:971672015-02-16T04:11:58Z https://repository.ugm.ac.id/97167/ Modeling the Earth’s Crust Using Synthetic Receiver Function Data with Nearests Neighborhood Method Wiwit, Suryanto Classical Physics A study to model the Earth's crust from a receiver-function data have been carried out In this research we will dis­ cuss two methods which are member of a Monte Carlo family, i.e. Metropolis and Neighborhood search algorithm. Monte Carlo method was studied since the characteristics of receiver-function data that are usually mixed with coda waves that follow the P wave and S wave. Such a conventional methods (i.e. Marquadt-Lavenberg) was usually diffi­ cult to get the best model for a scatter data of this kind. The algoritm were tested using a synthetic data to see the per­ formance of this method. The results show that this method is good enough to get the desired velocity model. In the future this method will be used to process the real observation oata from MERAMEX project Physics Department Sebelas Maret University 2011-03-09 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/97167/1/15.pdf Wiwit, Suryanto (2011) Modeling the Earth’s Crust Using Synthetic Receiver Function Data with Nearests Neighborhood Method. Proceedings Kentingan Physics Forum Acoustics Geophysics Cluster Meeting 2011. pp. 51-54. ISSN 979-978-3456-83-8
spellingShingle Classical Physics
Wiwit, Suryanto
Modeling the Earth’s Crust Using Synthetic Receiver Function Data with Nearests Neighborhood Method
title Modeling the Earth’s Crust Using Synthetic Receiver Function Data with Nearests Neighborhood Method
title_full Modeling the Earth’s Crust Using Synthetic Receiver Function Data with Nearests Neighborhood Method
title_fullStr Modeling the Earth’s Crust Using Synthetic Receiver Function Data with Nearests Neighborhood Method
title_full_unstemmed Modeling the Earth’s Crust Using Synthetic Receiver Function Data with Nearests Neighborhood Method
title_short Modeling the Earth’s Crust Using Synthetic Receiver Function Data with Nearests Neighborhood Method
title_sort modeling the earth s crust using synthetic receiver function data with nearests neighborhood method
topic Classical Physics
url https://repository.ugm.ac.id/97167/1/15.pdf
work_keys_str_mv AT wiwitsuryanto modelingtheearthscrustusingsyntheticreceiverfunctiondatawithnearestsneighborhoodmethod