A self-contained guide to the CMB Gibbs sampler
| dc.creator | Groeneboom, Nicolaas E. | |
| dc.date | 2009-05-23 | |
| dc.date.accessioned | 2026-07-07T13:17:48Z | |
| dc.date.available | 2026-07-07T13:17:48Z | |
| dc.description | We present a consistent self-contained and pedagogical review of the CMB Gibbs sampler, focusing on computational methods and code design. We provide an easy-to-use CMB Gibbs sampler named SLAVE developed in C++ using object-oriented design. While discussing why the need for a Gibbs sampler is evident and what the Gibbs sampler can be used for in a cosmological context, we review in detail the analytical expressions for the conditional probability densities and discuss the problems of galactic foreground removal and anisotropic noise. Having demonstrated that SLAVE is a working, usable CMB Gibbs sampler, we present the algorithm for white noise level estimation. We then give a short guide on operating SLAVE before introducing the post-processing utilities for obtaining the best-fit power spectrum using the Blackwell-Rao estimator. | |
| dc.description | 11 pages, | |
| dc.identifier | https://arxiv.org/abs/0905.3823 | |
| dc.identifier | http://arxiv.org/abs/0905.3823 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/231231 | |
| dc.subject | Cosmology and Nongalactic Astrophysics | |
| dc.title | A self-contained guide to the CMB Gibbs sampler | |
| dc.type | text |