Gravitational lensing of the cosmic microwave background: techniques and applications.
Date
2016
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Abstract
We have entered an era of precision cosmology, in which the parameters of the standard cosmological
model have been well constrained by observations. The cosmic microwave background
(CMB) has played a vital role in providing these constraints, because the primordial CMB is
sensitive to many of the cosmological parameters. The observed CMB is modified by secondary
effects caused by photon interactions after the surface of last scattering. One such effect is gravitational
lensing, the deflection of photons due to the matter that they pass. Gravitational lensing
can be used to probe the total matter distribution, which is dominated by dark matter. CMB
lensing also provides complementary cosmological information to that obtained from the CMB
power spectrum, and can be used to break parameter degeneracies and improve constraints on
dark energy and neutrino masses.
We explore methods of reconstructing the lensing field from lensed CMB temperature and
polarisation maps in real space, as an alternative to the harmonic space estimators currently in
use, by extending an existing temperature real space estimator to CMB polarisation. Real space
estimators have the advantage of being local in nature and they are thus equipped to deal with
the nonuniform sky coverage, galactic cuts and point source excisions found in experimental
data. We characterise some of the properties and limitations of these estimators and test them on
simulated maps, finding that the reconstructions are accurate for large-scale lensing fields, and
that the polarisation reconstructions improve on those from CMB temperature maps.
Neutral hydrogen (HI) intensity mapping is expected to be a powerful probe of large scale
structure and cosmology, and a number of current and planned experiments will be performing
large intensity mapping surveys. HI is a biased tracer of the dark matter distribution, therefore HI
observations will be correlated with CMB lensing reconstructions. We investigate the potential
for measuring this cross-correlation using CMB lensing reconstructed from Advanced ACTPol
observations and HI intensity mapping data from the Hydrogen Intensity and Real-time Analysis
eXperiment (HIRAX).We find that the CMB lensing-HI cross-correlation will be detectable with
a total signal to noise ratio of between 20 and 50 in each of four bins in the HIRAX frequency
range, which will allow us to constrain the HI bias on various scales over a wide redshift range
(z = 0.8 to 2.5).
Description
Master of Science in Mathematics, Statistics and Computer Science. University of KwaZulu-Natal, Durban, 2016.
Keywords
Theses - Mathematics, Statistics and Computer Science.