On improving analytical models of cosmic reionization for matching numerical simulation /

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Bibliographic Details
Author / Creator:Kaurov, Alexander Aleksandrovich, author.
Imprint:2016.
Ann Arbor : ProQuest Dissertations & Theses, 2016
Description:1 electronic resource (39 pages)
Language:English
Format: E-Resource Dissertations
Local Note:School code: 0330
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11674563
Hidden Bibliographic Details
Other authors / contributors:University of Chicago. degree granting institution.
ISBN:9781339873329
Notes:Advisors: Nickolay Y. Gnedin Committee members: Hsiao-Wen Chen; Wayne Hu; Andrey V. Kravtsov.
Dissertation Abstracts International, Volume: 77-12(E), Section: B.
English
Summary:The methods for studying the epoch of cosmic reionization vary from full radiative transfer simulations to purely analytical models. While numerical approaches are computationally expensive and are not suitable for generating many mock catalogs, analytical methods are based on assumptions and approximations. We explore the interconnection between both methods. First, we ask how the analytical framework of excursion set formalism can be used for statistical analysis of numerical simulations and visual representation of the morphology of ionization fronts. Second, we explore the methods of training the analytical model on a given numerical simulation. We present a new code which emerged from this study. Its main application is to match the analytical model with a numerical simulation. Then, it allows one to generate mock reionization catalogs with volumes exceeding the original simulation quickly and computationally inexpensively, meanwhile reproducing large scale statistical properties. These mock catalogs are particularly useful for CMB polarization and 21cm experiments, where large volumes are required to simulate the observed signal.