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dc.contributor.advisorOlivier de Weck and Jacqueline Hewitt.en_US
dc.contributor.authorCohanim, Babak, 1980-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Aeronautics and Astronautics.en_US
dc.date.accessioned2005-06-02T18:40:22Z
dc.date.available2005-06-02T18:40:22Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/17792
dc.descriptionThesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.en_US
dc.descriptionIncludes bibliographical references (p. 133-135).en_US
dc.description.abstractThe next generation of radio telescope interferometric arrays requires careful design of the array configuration to optimize the performance and minimize the cost of the overall system while adhering to site constraints. A framework, based on genetic algorithms, for rapid exploration and optimization of the objective space pertaining to multiple objectives has been developed. A large space of possible designs has been evaluated for 27-, 60-, 100-, and 160-station arrays. The 27-station optimizations can be compared to the well-known VLA case, and the larger array designs apply to arrays currently under design such as LOFAR, ATA, and the SKA. In the initial implementation of the framework, designs were evaluated with respect to two metrics, array imaging performance and the length of cable necessary to connect the stations which adhere to LOFAR design objectives and parameters. Imaging performance is measured by the degree to which the sampling of the uv plane is uniform. The length of cable used to connect stations was determined to be a key cost parameter in the construction of the array. Site constraints are a key issue in any ground-based system and have been included to ascertain the effects on the objective space. Results will show non-dominated configurations for the metrics chosen as one metric is emphasized over another, as well as a comparison of how site constraints affect the overall design and convergence of the genetic algorithm simulations. The framework is general, and may be applied to other design goals and issues, such as particular schemes for sampling the uv plane, array robustness, and phased deployment of arrays.en_US
dc.description.statementofresponsibilityby Babak Cohanim.en_US
dc.format.extent197 p.en_US
dc.format.extent8441946 bytes
dc.format.extent8465752 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.relation.requiresAppendix B of thesis is CDROM. -- Attached CD with GA_uvdens, GA_site, and all simulation runs used in this thesis. Routines are also included for producing point spread function information. All code was written using Matlaben_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectAeronautics and Astronautics.en_US
dc.titleMultiobjective optimization of a radio telescope array with site constraintsen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronautics
dc.identifier.oclc56548924en_US


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