Serviço local de periodograma em GPU para detecção de trânsitos planetários

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dc.contributor.advisorValio, Adriana Benetti Marques
dc.contributor.advisor-co1Silva, Luciano
dc.contributor.advisor-co1Latteshttp://lattes.cnpq.br/7514305376858192por
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/1041565102315246por
dc.contributor.authorBasile, Antonio Luiz
dc.creator.Latteshttp://lattes.cnpq.br/2404605015035717por
dc.date.accessioned2018-03-08T11:22:02Z
dc.date.accessioned2020-05-28T18:15:02Z
dc.date.available2020-05-28T18:15:02Z
dc.date.issued2017-06-13
dc.description.abstractUnderstanding other stellar systems is crucial to a better knowledge of the Solar System, as is the study of extrasolar planets orbiting the habitable zone of their host star central to the understanding of the conditions that allowed life to develop on our own planet. Presently there are thousands of confirmed planets, mostly detected by the Kepler satellite as they eclipse their host star. This overload of data urges an automatic data search for planetary transit detection within the stellar light curves. Box-Fitting Least Squares (BLS) is a good candidate for this task due to the intrinsic shape of the transiting light curve. Further improvement is obtained by parallelization of the BLS according to the number of bins. Both the sequential and parallel algorithms were applied to six chosen Kepler planetary systems (Kepler-7, Kepler-418, Kepler-439, Kepler-511, Kepler-807, Kepler-943) and to different light curve lengths. In all cases, speedup increased from 3 to 45 times as the number of bins increased, because the performance of the sequential version degrades with an increase in the number of bins, while remaining mainly constant for the parallel version. For smaller planets with longer orbital periods, a large number of bins is necessary to obtain the correct period detection.eng
dc.formatapplication/pdf*
dc.identifier.citationBASILE, Antonio Luiz. Serviço local de periodograma em GPU para detecção de trânsitos planetários. 2017. 89 f. Tese( Ciências e Aplicações Geoespaciais) - Universidade Presbiteriana Mackenzie, São Paulo.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/25795
dc.keywordsperiodogrameng
dc.keywordsbox fittingeng
dc.keywordsexoplanet detectioneng
dc.keywordsastroinformaticseng
dc.keywordshigh performance computingeng
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectperiodogramapor
dc.subjectbox fittingpor
dc.subjectdetecção de exoplanetaspor
dc.subjectastroinformáticapor
dc.subjectcomputação de alto desempenhopor
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRApor
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRA::ASTRONOMIApor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/15779/Antonio%20Luiz%20Basile.pdf.jpg*
dc.titleServiço local de periodograma em GPU para detecção de trânsitos planetáriospor
dc.typeTesepor
local.contributor.board1Silveira, Ismar Frango
local.contributor.board1Latteshttp://lattes.cnpq.br/3894359521286830por
local.contributor.board2Castro, Carlos Guillermo Giménez de
local.contributor.board2Latteshttp://lattes.cnpq.br/5735720962238368por
local.contributor.board3Moreno, Jorge Luis Melendez
local.contributor.board3Latteshttp://lattes.cnpq.br/1479508192871529por
local.contributor.board4Stringhini, Denise
local.contributor.board4Latteshttp://lattes.cnpq.br/8685746591566082por
local.publisher.countryBrasilpor
local.publisher.departmentEscola de Engenharia Mackenzie (EE)por
local.publisher.initialsUPMpor
local.publisher.programCiências e Aplicações Geoespaciaispor
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