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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Hydrogen intensity mapping is a new field in astronomy that promises to makethree-dimensional maps of the matter distribution of the Universe using theredshifted $21\,\textrm{cm}$ line of neutral hydrogen gas (HI). Several ongoingand upcoming radio interferometers, such as Tianlai, CHIME, HERA, HIRAX, etc.are using this technique. These instruments are designed to map large swaths ofthe sky by drift scanning over periods of many months. One of the challenges ofthe observations is that the daytime data is contaminated by strong radiosignals from the Sun. In the case of Tianlai, this results in almost half ofthe measured data being unusable. We try to address this issue by developing analgorithm for solar contamination removal (AlgoSCR) from the radio data. Thealgorithm is based on an eigenvalue analysis of the visibility matrix, andhence is applicable only to interferometers. We apply AlgoSCR to simulatedvisibilities, as well as real daytime data from the Tianlai dish array. Thealgorithm can remove most of the solar contamination without seriouslyaffecting other sky signals and thus makes the data usable for certainapplications.

AlgoSCR: An algorithm for Solar Contamination Removal from radio interferometric data