title: Understanding Cosmic Structure: A New Prediction for the Gravitational Lensing Power Spectrum
creator: Kuhn, Felix Arjun
subject: ddc-530
subject: 530 Physics
description: The nonlinear evolution of large scale structure has long been poorly understood as it has not been possible to thoroughly describe the physics of the underlying processes by means of theoretical physics until recent years. This lack of understanding not only has hampered progress in the understanding of cosmic history but also of the constituents of the universe as most of them are of a still unknown nature and cannot be observed directly. We calculate a new theoretical and model-independent prediction for the weak lensing power spectrum using both model-independent cosmology, a newly invented method to circumvent the need of a cosmological model, as well as Kinetic Field Theory, a recent technique to analytically describe the nonlinear stages of structure formation. Thus, by adding a nearly parameter-free prediction of the central statistical quantity of gravitational lensing – a well established method to analyse the distribution of cosmic matter density – to the framework of Kinetic Field Theory we provide another possibility in order to verify, calibrate and improve the successful analytic approach to nonlinear cosmic structure formation.
date: 2021
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/29508/1/dissertation-felix-kuhn.pdf
identifier: DOI:10.11588/heidok.00029508
identifier: urn:nbn:de:bsz:16-heidok-295088
identifier:   Kuhn, Felix Arjun  (2021) Understanding Cosmic Structure: A New Prediction for the Gravitational Lensing Power Spectrum.  [Dissertation]     
relation: https://archiv.ub.uni-heidelberg.de/volltextserver/29508/
rights: info:eu-repo/semantics/openAccess
rights: http://archiv.ub.uni-heidelberg.de/volltextserver/help/license_urhg.html
language: eng