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

Searches for inflationary gravitational wave signals in the CMB B-modepolarisation are expected to reach unprecedented power over the next decade. Amajor difficulty in these ongoing searches is that galactic foregrounds such asdust can easily mimic inflationary signals. Though typically foregrounds areseparated from primordial signals using the foregrounds' different frequencydependence, in this paper we investigate instead the extent to which thegalactic dust B-modes' statistical anisotropy can be used to distinguish themfrom inflationary B-modes, building on the work of Kamionkowski and Kovetz(2014). In our work, we extend existing anisotropy estimators and apply them tosimulations of polarised dust to forecast their performance for futureexperiments. Considering the application of this method as a null-test for dustcontamination to CMB-S4, we find that we can detect residual dust levelscorresponding to $r\sim0.001$ at $2\sigma$, which implies that statisticalanisotropy estimators will be a powerful diagnostic for foreground residuals(though our results show some dependence on the dust simulation used). Finally,considering applications beyond a simple null test, we demonstrate howanisotropy statistics can be used to construct an estimate of the dust B-modemap, which could potentially be used to clean the B-mode sky.

Detection and Removal of B-mode Dust Foregrounds with Signatures of Statistical Anisotropy