English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

As well as primary fluctuations, CMB temperature maps contain a wealth ofadditional information in the form of secondary anisotropies. Secondary effectsthat can be identified with individual objects, such as the thermal and kineticSunyaev-Zel'dovich (SZ) effects due to galaxy clusters, are difficult tounambiguously disentangle from foreground contamination and the primary CMBhowever. We develop a Bayesian formalism for rigorously characterisinganisotropies that are localised on the sky, taking the TSZ and KSZ effects asan example. Using a Gibbs sampling scheme, we are able to efficiently samplefrom the joint posterior distribution for a multi-component model of the skywith many thousands of correlated physical parameters. The posterior can thenbe exactly marginalised to estimate properties of the secondary anisotropies,fully taking into account degeneracies with the other signals in the CMB map.We show that this method is computationally tractable using a simpleimplementation based on the existing Commander component separation code, andalso discuss how other types of secondary anisotropy can be accommodated withinour framework.

A CMB Gibbs sampler for localized secondary anisotropies