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From galaxy clustering to dark matter clustering

Yoo, Jaiyul
http://rave.ohiolink.edu/etdc/view?acc_num=osu1186586898

Abstract Details

2007, Doctor of Philosophy, Ohio State University, Astronomy.
Galaxy clustering measurement has been one of the leading tools in cosmology for estimating a more fundamental quantity, the clustering of the underlying dark matter distribution. With the recent advances in galaxy redshift surveys, and hence dramatic improvement in observational data, the main obstacle to achieving this goal has become the theoretical uncertainty of galaxy bias, the difference between the galaxy and the matter distributions. The halo occupation distribution (HOD) program has emerged as a powerful tool to overcome the difficulty in inferring dark matter clustering by providing a theoretical framework that describes statistical properties of galaxy populations in individual dark matter halos. Moreover, gravitational lensing depends only on gravity, regardless of whether it is produced by dark or luminous matter, thus providing an observational method to break the degeneracy between the galaxy bias and underlying cosmology. In particular, weak gravitational lensing uses the subtle distortion of background galaxy shapes to measure how foreground lensing matter is statistically distributed, making its method well suited to the HOD description. In this thesis, I describe three methods to quantify dark matter clustering based on the HOD framework, making full use of precision measurements of galaxy clustering and weak lensing from recent galaxy redshift surveys. First, using galaxy clustering measurements on small scales, I~infer the scale-dependent bias function, which makes it possible to extend the recovery of the primordial matter power spectrum over a large dynamic range, and thereby tighten constraints on cosmological parameters obtainable from the galaxy samples of the Sloan Digital Sky Survey. Second, I~develop an analytic model for combining galaxy-galaxy lensing and galaxy clustering to constrain the matter density parameter and the matter fluctuation amplitude. Finally, I~present a novel method to constrain dark energy models using cluster-galaxy weak lensing and apply our method to the planned Dark Energy Survey (DES), forecasting our ability to measure cosmological parameters. Comprehensive analysis of galaxy clustering measurements with these complementary approaches will provide a unique opportunity for a complete description of dark matter clustering.
David Weinberg (Advisor)
178 p.
Physics, Astronomy and Astrophysics
cosmology; astrophysics; dark matter; dark energy; galaxy clustering; dark matter clustering; weak gravitational lensing

Recommended Citations

Citations

  • Yoo, J. (2007). From galaxy clustering to dark matter clustering [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1186586898

    APA Style (7th edition)

  • Yoo, Jaiyul. From galaxy clustering to dark matter clustering. 2007. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1186586898.

    MLA Style (8th edition)

  • Yoo, Jaiyul. "From galaxy clustering to dark matter clustering." Doctoral dissertation, Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=osu1186586898

    Chicago Manual of Style (17th edition)

osu1186586898
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© 2007, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.