title: Statistical Inference in Cosmology creator: Sellentin, Elena subject: ddc-520 subject: 520 Astronomy and allied sciences subject: ddc-530 subject: 530 Physics description: Analysis of cosmic data is the only way to determine whether General Relativity is the law of gravity also on the largest scales in our Universe. The current standard model of cosmology, ΛCDM, is based on General Relativity, and fits all currently available data flawlessly. However, theoretical dissatisfaction with ΛCDM exists: cosmological data probe gravitational interactions, and ΛCDM fits the data only because it introduces two components of startling gravitional behaviour, the cosmological constant, Λ, and cold dark matter (CDM). The cosmological constant has a suspiciously small value when regarded from the perspective of quantum field theories, and cold dark matter has so far not been detected in any experiment of particle physics. This thesis examines the cosmological standard model from the vantage point of statistics. A non-Gaussian likelihood approximation is presented and the need of an unbiased mechanism for dealing with estimated covariance matrices is addressed. Concerning neutrinos, a previously existent parameterization bias in the analysis of the cosmic microwave background is resolved. Using weak lensing and type Ia supernova data of the next generation, it is estimated how much can be learned about dark energy from these future data sets. date: 2016 type: Dissertation type: info:eu-repo/semantics/doctoralThesis type: NonPeerReviewed format: application/pdf identifier: https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/20793/1/EingereichteVersion.pdf identifier: DOI:10.11588/heidok.00020793 identifier: urn:nbn:de:bsz:16-heidok-207934 identifier: Sellentin, Elena (2016) Statistical Inference in Cosmology. [Dissertation] relation: https://archiv.ub.uni-heidelberg.de/volltextserver/20793/ rights: info:eu-repo/semantics/openAccess rights: http://archiv.ub.uni-heidelberg.de/volltextserver/help/license_urhg.html language: eng