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patton_dissertation.pdf (5.01 MB)
ETD Abstract Container
Abstract Header
Analyzing the Information Content in Gravitational Shadows
Author Info
Patton, Kenneth
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1471838287
Abstract Details
Year and Degree
2016, Doctor of Philosophy, Ohio State University, Physics.
Abstract
In cosmology, we study the universe through the light we observe from distant sources. For this dissertation, I aim to describe my work in helping advance our understanding of the universe through the development of tools for the Dark Energy Survey and related work in the field of weak lensing. I start with an introduction to cosmology and the theory behind our understanding of the Universe. This introduces the idea of Dark Energy and Dark Matter, which together with General Relativity explains the universe as we know it. Following the introduction, I cover various observational probes in cosmology, many of which are used in the Dark Energy Survey. These probes naturally break down into two camps: probes that primarily measure the evolution of distance scales in the universe, and probes that relate to the growth of structure, i.e. the development of galaxies, galaxy clusters, and the clustering of matter. On large scales and at early times the evolution of the universe can be adequately described with linear perturbation theory; similarly, in the non-linear regime methods for predicting the number density and formation history of Dark Matter haloes. The trouble lies in making predictions in the non-linear regime and accurately describing the shapes of the Dark Matter haloes. For this, we rely on simulations of the universe, and I describe the current simulation tools used in cosmology today. Further, I explain how one extracts Fisher information from these simulations and detail a correction factor that I use in my own predictions. From this, I illustrate the details of the Dark Energy Survey and my work on the Dark Energy Camera (DECam). This optical survey will image 5000 square degrees of the Southern Hemisphere in 5 different filter bands and aims to measure the properties of approximately 300 million galaxies. The tools I developed for DECam are used in the daily operations of the telescope both for the Dark Energy Survey and other observations made by community observers. Finally, I describe the work I have done running simulations for an analysis of the Fisher information available in the 1-point weak lensing convergence probability distribution. Two point measurements of the weak lensing field are the standard techniques for measuring cosmological information. However, I demonstrate that the 1-point weak lensing information supplements this by breaking degeneracies in the cosmological parameters. In $\Omega_m$-$\sigma_8$ parameter plane I show that adding the 1-point statistics can provide an improvement in constraining area by greater than a factor of 2.
Committee
Klaus Honscheid (Advisor)
David Weinberg (Committee Member)
Amy Connolly (Committee Member)
Thomas Humanic (Committee Member)
Rene Anand (Committee Member)
Pages
131 p.
Subject Headings
Astronomy
;
Astrophysics
;
Physics
Keywords
cosmology
;
weak lensing
;
Dark Energy Survey
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Citations
Patton, K. (2016).
Analyzing the Information Content in Gravitational Shadows
[Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471838287
APA Style (7th edition)
Patton, Kenneth.
Analyzing the Information Content in Gravitational Shadows.
2016. Ohio State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1471838287.
MLA Style (8th edition)
Patton, Kenneth. "Analyzing the Information Content in Gravitational Shadows." Doctoral dissertation, Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471838287
Chicago Manual of Style (17th edition)
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Document number:
osu1471838287
Download Count:
491
Copyright Info
© 2016, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.