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

Recently Ramana Athrea published a new algorithm ([1]) based on the difference at fringe rates of a source in the sky and ground-based RFI. His algorithm works only for ground-based and constant-amplitude RFI during a solution interval. We modified his algorithm to include a possible change of the RFI’s amplitude during the solution interval and developed another algorithm based on Hogbom CLEANing of the Fourier transform of the time series of the SOURCE+RFI visibilities. These algorithms allow us to mitigate RFI originating from more than one source moving with different nonzero speeds relative to the array (e.g. ground-based and satellite-based RFI). The new algorithms are implemented in AIPS ([2]) in the task UVRFI. The result of testing this task is demonstrated using the EVLA data at L band. It is also shown that self-averaging of RFI can reduce its impact on imaging even if the solution interval in the correlator is too small to allow self-averaging before imaging.

RFI mitigation in AIPS, The new task UVRFI