Novel methods of supernova classification and type probability estimation

 

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dc.contributor.author Newling, James en_ZA
dc.date.accessioned 2015-01-03T18:14:21Z
dc.date.available 2015-01-03T18:14:21Z
dc.date.issued 2011 en_ZA
dc.identifier.citation Newling, J. 2011. Novel methods of supernova classification and type probability estimation. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/11174
dc.description.abstract Future photometric surveys will provide vastly more supernovae than have presently been observed, the majority of which will not be spectroscopically typed. Key to extracting information from these future datasets will be the efficient use of light-curves. In the first part of this thesis we introduce two methods for distinguishing type Ia supernovae from their contaminating counterparts, kernel density estimation and boosting. In the second half of this thesis we shift focus from classification to the related problem of type probability estimation, and ask how best to use type probabilities. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Maths and Applied Mathematics en_ZA
dc.title Novel methods of supernova classification and type probability estimation en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Mathematics and Applied Mathematics en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Newling, J. (2011). <i>Novel methods of supernova classification and type probability estimation</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Mathematics and Applied Mathematics. Retrieved from http://hdl.handle.net/11427/11174 en_ZA
dc.identifier.chicagocitation Newling, James. <i>"Novel methods of supernova classification and type probability estimation."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Mathematics and Applied Mathematics, 2011. http://hdl.handle.net/11427/11174 en_ZA
dc.identifier.vancouvercitation Newling J. Novel methods of supernova classification and type probability estimation. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Mathematics and Applied Mathematics, 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11174 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Newling, James AB - Future photometric surveys will provide vastly more supernovae than have presently been observed, the majority of which will not be spectroscopically typed. Key to extracting information from these future datasets will be the efficient use of light-curves. In the first part of this thesis we introduce two methods for distinguishing type Ia supernovae from their contaminating counterparts, kernel density estimation and boosting. In the second half of this thesis we shift focus from classification to the related problem of type probability estimation, and ask how best to use type probabilities. DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - Novel methods of supernova classification and type probability estimation TI - Novel methods of supernova classification and type probability estimation UR - http://hdl.handle.net/11427/11174 ER - en_ZA


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