Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.650216
Title: Star formation and stellar mass assembly in galaxy formation models
Author: Mitchell, Peter Daniel
ISNI:       0000 0004 5355 9457
Awarding Body: Durham University
Current Institution: Durham University
Date of Award: 2015
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Abstract:
We use the semi-analytic galaxy formation model, GALFORM, to explore the implications of results from multi-wavelength galaxy surveys within the context of the hierarchical structure formation paradigm. Specific topics which we investigate include (i): the biases that can be introduced by using spectral energy distribution fitting to infer stellar masses from broad-band photometry, (ii) the reasons why galaxy formation models struggle to reproduce the exponential drop with time in star formation rates of star-forming galaxies inferred from a wide range of observations, (iii) the physical processes that control the evolution in the median relationship between stellar mass and halo mass predicted by galaxy formation models. We show that stellar masses of compact dusty star-forming galaxies could be underestimated by SED fitting as a result of assuming a uniform foreground dust screen geometry. We explain how the standard implementation of supernova feedback and gas reincorporation within galaxy formation models results in flat predicted star formation histories for star forming galaxies. We show that this is inconsistent with observational data which imply that these star formation histories should instead be peaked at intermediate redshift. We also show how the supernova feedback and gas reincorporation implementations within standard galaxy formation models result in a baryon conversion efficiency within haloes that is roughly independent of cosmic time at fixed halo mass. Consequently, the median stellar mass versus halo mass relationship is predicted by these models to not evolve significantly.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.650216  DOI: Not available
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