Use this URL to cite or link to this record in EThOS:
Title: The clustering of galaxies in hierarchical galaxy formation models
Author: Kim, Han Sik
ISNI:       0000 0004 2692 2548
Awarding Body: Durham University
Current Institution: Durham University
Date of Award: 2010
Availability of Full Text:
Access from EThOS:
Access from Institution:
Galaxy clustering encodes information about the values of cosmological parameters and also about the physical processes behind galaxy formation and evolution. The GALFORM semi-analytical model is the theoretical approach we used to model galaxy formation. We start by studying the luminosity dependence of galaxy clustering which is measured accurately in the local Universe. We have compared the clustering predictions of three publicly available galaxy formation models with clustering measurements from the 2dFGRS and found that two new processes need to be included in order to understand the observed clustering. We then study the distribution of cold gas in dark matter haloes central to the processes of galaxy formation. We present the cold gas mass function and its evolution with redshift. We have found that the clustering predicted by the semi-analytic models agrees well with the HIPASS measurements of Meyer et al. (2007). We have calculated effective volume for redshift surveys planned with Square Kilometre Array (SKA) and compared with that of the optical Euclid mission. Finally, we study the clustering of faint extragalactic sources which are one of the foregrounds in PLANCK maps. We predict the clustering of faint extragalactic sources using a hybrid GRASIL+GALFORM+N-body model. We have compared the hybrid scheme with analytic clustering estimates. On large scales the two approaches agree, but for multipoles with l>500 the results differ significantly, with the hybrid approach being the more accurate.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available