A Statistical Approach to Quantifying the Evolution of Galaxies

Mathematics – Logic

Scientific paper

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Spectral Evolution, Density Evolution, Redshift

Scientific paper

Studies of the distribution and evolution of galaxies are of fundamental importance to modern cosmology; these studies, however, are hampered by the complexity of the competing effects of spectral and density evolution. Constructing a spectroscopic sample that is able to unambiguously disentangle these processes is excessively prohibitive. This thesis extends and applies an alternative approach that relies on statistical estimates for both distance (zP) and spectral type to a deep multi-band dataset that was obtained for this exact purpose. These statistical estimates are extracted directly from the photometric data by capitalizing on the inherent relationships between flux, redshift, and spectral type. The number of galaxies contained in our sample is sufficient to construct the multivariate angular correlation function w(/theta,zP,Type) and the multivariate luminosity function Φ(MAB,zP,Type) to zP~1.0. With these measurements, we can begin to separate out the competing effects of density and spectral evolution, and place constraints on fundamental cosmological quantities.

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