Souradeep, Tarun ; Das, Santanu ; Wandelt, Benjamin (2016) Bayesian Cosmological inference beyond statistical isotropy Journal of Physics: Conference Series, 759 . Article ID 012062. ISSN 1742-6588
|
PDF
901kB |
Official URL: http://iopscience.iop.org/article/10.1088/1742-659...
Related URL: http://dx.doi.org/10.1088/1742-6596/759/1/012062
Abstract
With advent of rich data sets, computationally challenge of inference in cosmology has relied on stochastic sampling method. First, I review the widely used MCMC approach used to infer cosmological parameters and present a adaptive improved implementation SCoPE developed by our group. Next, I present a general method for Bayesian inference of the underlying covariance structure of random fields on a sphere. We employ the Bipolar Spherical Harmonic (BipoSH) representation of general covariance structure on the sphere. We illustrate the efficacy of the method with a principled approach to assess violation of statistical isotropy (SI) in the sky maps of Cosmic Microwave Background (CMB) fluctuations. The general, principled, approach to a Bayesian inference of the covariance structure in a random field on a sphere presented here has huge potential for application to other many aspects of cosmology and astronomy, as well as, more distant areas of research like geosciences and climate modelling.
Item Type: | Article |
---|---|
Source: | Copyright of this article belongs to Institute of Physics. |
ID Code: | 107645 |
Deposited On: | 26 Dec 2017 07:08 |
Last Modified: | 26 Dec 2017 07:08 |
Repository Staff Only: item control page