1. Observing the dark universe with weak gravitational lensing
- Author
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Robertson, Naomi Clare, Dunkley, Joanna, and Millar, Lance
- Subjects
523.1 ,observational cosmology - Abstract
We are now entering into an era of huge cosmological data sets, with observations testing the current paradigm to high accuracy. By combining different probes of cosmology, we can access new information about our Universe and investigate the systematic effects that plague our ability to measure cosmology accurately. In this thesis we use weak gravitational lensing as a tool to measure the large scale structure in the Universe. First, we present the theoretical framework in which this thesis is set. We then detail the methodology required to measure the cross-correlation between galaxy weak lensing and cosmic microwave background (CMB) weak lensing data sets. In particular we highlight the impact of the complicated nature of galaxy weak lensing data and investigate ways to improve the signal-to-noise of the cross-correlation measurement using simulations. We measure the CMB lensing/galaxy weak lensing power spectrum using the latest CMB lensing data from the Atacama Cosmology Telescope (ACT) and galaxy weak lensing data from the Kilo Degree Survey (KiDS), making a detection at 5σ significance. We compare our measured cross-spectrum to the cosmological parameters inferred from the Planck and KiDS experiments. We then present fits for the mat- ter density and the amplitude of matter fluctuations, marginalising over the galaxy weak lensing systematic biases. We forecast the expected signal-to-noise using the next data release from ACT and use simulated fields to investigate the impact on estimating cosmological parameters with that data set. Finally, we measure the masses of clusters selected from ACT CMB data via the Sunyaev-Zel’dovich effect using weak gravitational lensing data from KiDS, making a 20σ detection of the lensing signal. We present an estimate of the mass bias for a set of stacked clusters as well as the highest signal-to-noise individual clusters. We also describe tests of systematic effects and analysis choices.
- Published
- 2019