Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2332
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dc.contributor.authorSaikia, Aditya Pawan-
dc.date.accessioned2024-04-03T15:37:24Z-
dc.date.available2024-04-03T15:37:24Z-
dc.date.issued2023-05-
dc.identifier.urihttp://hdl.handle.net/123456789/2332-
dc.descriptionEmbargo Perioden_US
dc.description.abstractThe main aim of this project is to explore cosmological data contained in the Pantheon SN1a sample, a collection of 1048 supernovae combining various low-z and HST data samples. When constraining the sample to a wCDM cosmological model using chi-square analysis in the form of either hyperparametric grid search sweeping or Nelder-Mead or Downhill simplex method we can estimate the best fit parameters and compare them with the original analysis [7]. Furthermore, the same analysis was performed on the Pantheon+SH0ES data sample, and Principal Component Analysis was performed on both samples in order to reduce the parameter set.en_US
dc.language.isoenen_US
dc.publisherIISER Mohalien_US
dc.subjectcosmologyen_US
dc.subjectData fittingen_US
dc.titleCosmological Data Fittingen_US
dc.typeThesisen_US
dc.guideJassal, Harvinder Kauren_US
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