Cross-Correlation study between CMB lensing and galaxy surveys
CS Saraf - arXiv preprint arXiv:2106.04422, 2021 - arxiv.org
arXiv preprint arXiv:2106.04422, 2021•arxiv.org
Cosmic Microwave Background (CMB) is a powerful probe to study the early universe and
various cosmological models. Weak gravitational lensing affects the CMB by changing its
power spectrum, but meanwhile, it also carries information about the distribution of lensing
mass and hence, the large scale structure (LSS) of the universe. When studies of the CMB is
combined with the tracers of LSS, one can constrain cosmological models, models of LSS
development and astrophysical parameters simultaneously. The main focus of this project is …
various cosmological models. Weak gravitational lensing affects the CMB by changing its
power spectrum, but meanwhile, it also carries information about the distribution of lensing
mass and hence, the large scale structure (LSS) of the universe. When studies of the CMB is
combined with the tracers of LSS, one can constrain cosmological models, models of LSS
development and astrophysical parameters simultaneously. The main focus of this project is …
Cosmic Microwave Background (CMB) is a powerful probe to study the early universe and various cosmological models. Weak gravitational lensing affects the CMB by changing its power spectrum, but meanwhile, it also carries information about the distribution of lensing mass and hence, the large scale structure (LSS) of the universe. When studies of the CMB is combined with the tracers of LSS, one can constrain cosmological models, models of LSS development and astrophysical parameters simultaneously. The main focus of this project is to study the cross-correlations between CMB lensing and the galaxy matter density to constrain the galaxy bias () and the amplitude scaling parameter (), to test the validity of CDM model. We test our approach for simulations of the Planck CMB convergence field and galaxy density field, which mimics the density field of the Herschel Extragalactic Legacy Project (HELP). We use maximum likelihood method to constrain the parameters.
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