New techniques in dark matter mapping
Abstract
We have developed a new pipeline for mapping dark matter associated with clusters of galaxies via weak gravitational lensing. This method will be useful both with current datasets and future large optical survey telescopes, such as the Large Synoptic Survey Telescope (LSST). We use a novel source finding technique using a wavelet detection method. We then find known photometric and spectroscopic redshifts associated with our sources and measure the ellipticities of galaxies using a second moment technique. The ellipticity and photometric redshift distribution are then converted to a dark matter map. We have represented the dark matter as smoothed particles to invert the ellipticity map. This had yielded both 2D and 3D dark matter distributions when applied to our Subaru archive image of Abell 2218.
Degree
Ph.D.
Advisors
Peterson, Purdue University.
Subject Area
Astrophysics
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