PIRSA:24040104

Embedding generalised LTB models in polymerised spherically symmetric models: formalism and applications

APA

Giesel, K. (2024). Embedding generalised LTB models in polymerised spherically symmetric models: formalism and applications. Perimeter Institute for Theoretical Physics. https://pirsa.org/24040104

MLA

Giesel, Kristina. Embedding generalised LTB models in polymerised spherically symmetric models: formalism and applications. Perimeter Institute for Theoretical Physics, Apr. 18, 2024, https://pirsa.org/24040104

BibTex

          @misc{ scivideos_PIRSA:24040104,
            doi = {10.48660/24040104},
            url = {https://pirsa.org/24040104},
            author = {Giesel, Kristina},
            keywords = {Quantum Gravity},
            language = {en},
            title = {Embedding generalised LTB models in polymerised spherically symmetric models: formalism and applications},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2024},
            month = {apr},
            note = {PIRSA:24040104 see, \url{https://scivideos.org/index.php/pirsa/24040104}}
          }
          

Kristina Giesel University of Erlangen-Nuremberg

Talk numberPIRSA:24040104
Source RepositoryPIRSA
Collection

Abstract

At the classical level, one can restrict a spherically symmetric model to the corresponding LTB sector by requiring that a so-called LTB condition is satisfied. In this talk we will discuss how this can be generalised in the context of effective models containing quantum gravity inspired modifications of  the classical theory in the form of polymerisations. The formalism presented allows us to consider more general polymerisations than in previous work in the literature. Applications of this framework are then considered, focusing on a particular class of models that have the property that the effective dynamics is completely decoupled along the radial direction. Examples of effective models that fall into this class are discussed and their physical properties are compared with existing models in the literature.

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