Research on Power Spectrum and Sunyaev-Zel'dolvich effect of Cosmic Microwave Background
Date Issued
2011
Date
2011
Author(s)
Wang, Fu-Cheng
Abstract
This dissertation contains two parts : estimation of Cosmic Microwave Background (CMB) power spectrum with
data from Maxipol and WMAP experiments, and investigation of cluster property through
the Sunyaev-Zel’dovich effect. In the first part, we cross correlate the CMB polarization maps from
Maxipol and the temperature map from WMAP to estimate the CMB power spectrum,
using Markov Chain Monte Carlo (MCMC) method to deliver the maximum-likelihood analysis.
Simulations are heavily invoked to justify our analysis pipeline. Detailed calculation of likelihood function
and some numerical issues are discussed. We show that our results are consistent with
previous results, and the key for improvement is the data quality.
In part II we describe the decade project AMiBA, with particular address on how a multi-frequency analysis
can provide better constraint on the properties of galaxy clusters.
We first describe the project in several aspects, including the observation strategy, data reduction, and data quality control.
Data of the Sunyaev-Zel’dovich effect from AMiBA and several other experiments are then combined
to deliver the multi-frequency analysis, yielding better estimation for the central Compton parameter and peculiar velocity
for clusters A2163 and A2390.
The future of the work presented here is also addressed.
Subjects
Cosmic Microwave Background
CMB
Power spectrum
SZ effect
multi-frequency
Bayesian
Markov Chain Monte Carlo
MCMC
Type
thesis
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