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Towards an understanding of dark matter: Precise gravitational lensing analysis complemented by robust photometric redshifts

Posted on:2009-08-08Degree:Ph.DType:Thesis
University:The Johns Hopkins UniversityCandidate:Coe, Daniel AaronFull Text:PDF
GTID:2440390002992020Subject:Physics
Abstract/Summary:
The goal of thesis is to help scientists resolve one of the great mysteries of our time: the nature of Dark Matter. Dark Matter is currently believed to make up over 80% of the material in our universe, yet we have so far inferred but a few of its basic properties.;An important ingredient to our mass model is the accurate measurement of distances to the lensed galaxies via their photometric redshifts. Here we develop tools which improve the accuracy of these measurements based on our study of the Hubble Ultra Deep Field, the only image yet taken to comparable depth as the magnified regions of Abell 1689. We present results both for objects in the Hubble Ultra Deep Field and for galaxies gravitationally lensed by Abell 1689.;As part of this thesis, we also provide reviews of Dark Matter and Gravitational Lensing, including a chapter devoted to the mass profiles of Dark Matter halos realized in simulations.;The original work presented here was performed primarily by myself under the guidance of Narciso Benitez and Holland Ford as a member of the Advanced Camera for Surveys GTO Science Team at Johns Hopkins University and the Instituto de Astrofisica de Andalucfa. My advisors served on my thesis committee along with Rick White, Gabor Domokos, and Steve Zelditch.;Here we study the Dark Matter surrounding a galaxy cluster, Abell 1689, via the most direct method currently available---gravitational lensing. Abell 1689 is a "strong" gravitational lens, meaning it produces multiple images of more distant galaxies. The observed positions of these images can be measured very precisely and act as a blueprint allowing us to reconstruct the Dark Matter distribution of the lens. Until now, such mass models of Abell 1689 have reproduced the observed multiple images well but with significant positional offsets. Using a new method we develop here, we obtain a new mass model which perfectly reproduces the observed positions of 168 knots identified within 135 multiple images of 42 galaxies.
Keywords/Search Tags:Dark matter, Multiple images, Gravitational, Lensing, Mass, Galaxies
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