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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1842/3190
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| Title: | Analysing Observables in Structure Formation Theories |
| Authors: | Tojeiro, Rita |
| Supervisor(s): | Heavens, Alan Panter, Ben Best, Phil |
| Issue Date: | 2009 |
| Publisher: | The University of Edinburgh |
| Abstract: | This thesis presents an exploration of various aspects relating to the formation and
evolution of structure in the Universe. It focuses on two main observables which provide
information on two distinct epochs of the Universe: Part I analyses the Cosmic
Microwave Background (CMB) which is used to test early Universe theories and validate
current methods for cosmological parameters estimation; Part II analyses the
distribution, history and content of local galaxies with a view to learn about type Ia
supernovae progenitors, assembly of stellar mass in galaxies and galaxy evolution.
In Part I, a search for signs of non-Gaussianity in theWilkinson Microwave Anisotropy
Probe is conducted, using the two-point correlation function of peaks (hot and cold
spots) in the temperature field. A clear deviation from Gaussianity is found in both
data releases, which is associated with cold spots, the southern hemisphere, large-scales
and the galactic plane. The results indicate that the presence of un-subtracted foregrounds
in the data are a more likely explanation for this signal than a cosmological
origin, but the latter cannot be excluded. Part I further explores the two-point correlation
function of temperature peaks as an estimator to constrain fNL, a specific type
of non-Gaussianity. Using sets of non-Gaussian simulated maps with the correct cosmology
and resolution, this thesis explores how accurately one can hope to constrain
fNL when data from the upcoming CMB experiment Planck is available.
Part II presents a novel method developed to extract the star formation history of
a galaxy from its spectrum: VErsatile SPectral Analysis (VESPA). VESPA dynamically
adapts the number of parameters it recovers from each spectrum to each galaxy,
only recovering as much information as the data warrant. This insures the recovered
solutions are dominated by the signal, not the noise, and allows robust recovery of star
formation and metallicity histories and up to two dust extinction values per galaxy.
VESPA was applied to the fifth data release of the Sloan Digital Sky Survey (SDSS)
to construct a catalogue of histories for nearly half a million galaxies. Part II also
explores how this catalogue can provide important information about the formation of
structure in the local Universe. Specifically, this thesis: shows evidence for the presence
of a short-lived progenitor to SNIa and explores VESPA’s potential role in future
Dark Energy SNIa experiments; explores how changes in the Initial Mass Function affect
stellar mass estimates and its consequences; and by using estimates of the galaxy
mass function as a function of redshift (calculated using both the spectral fossil record
and instantaneous star formation rate methods) explores the possibility of putting constraints
on the merger history of present-day galaxies. |
| Keywords: | Physics Astronomy |
| URI: | http://hdl.handle.net/1842/3190 |
| Appears in Collections: | Physics thesis and dissertation collection
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