Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665308
Title: Galaxy clustering using the GAMA survey
Author: Christodoulou, Leonidas
Awarding Body: University of Sussex
Current Institution: University of Sussex
Date of Award: 2013
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Abstract:
We present a study of the clustering of galaxies in the local Universe (z < 0.4) using the SDSS and GAMA galaxy surveys. Using GAMA spectroscopic redshift we construct a large photometric redshift catalogue from the SDSS imaging data. We then measure the two-point angular correlation function as a function of photometric redshift, absolute magnitude and colour. For all our samples, we estimate the underlying redshift and absolute magnitude distributions using Monte-Carlo resampling. A linear relation between relative bias and L/L∗ is found to hold down to luminosities L ∼ 0.03L∗. We find that the redshift dependence of the bias of the L∗ population can be described by the passive evolution model of linear bias. We confirm an increase in clustering strength for sub-L∗ red galaxies compared with ∼ L∗ red galaxies at small scales in all redshift bins, whereas for the blue population the correlation length is almost independent of luminosity for ∼ L∗ galaxies and fainter. We proceed by studying the redshift space correlation function from GAMA as functions of luminosity and redshift. For L & L∗ galaxies we obtain an almost constant pairwise velocity dispersion σ12 ≈ 400 km s−1, whereas for L < L∗ galaxies the pairwise velocity dispersion increases as we go fainter. When measured in different redshift slices the pairwise velocity dispersion as a function of luminosity shows no signs of evolution, however it does present some scale dependence. Our measurements of the growth rate parameter are consistent with the standard ΛCDM+GR cosmological model.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.665308  DOI: Not available
Keywords: QB0495 Descriptive astronomy
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