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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Analysis of radio signals from cosmic-ray induced air showers has been shownto be a reliable method to extract shower parameters such as primary energy anddepth of shower maximum. The required detailed air shower simulations take 1 to3 days of CPU time per shower for a few hundred antennas. With nearly $60,000$antennas envisioned to be used for air shower studies at the Square KilometreArray (SKA), simulating all of these would come at unreasonable costs. Wepresent an interpolation algorithm to reconstruct the full pulse time series atany position in the radio footprint, from a set of antennas simulated on apolar grid. Relying on Fourier series representations and cubic splines, itsignificantly improves on existing linear methods. We show that simulatingabout 200 antennas is sufficient for high-precision analysis in the SKA era,including e.g. interferometry which relies on accurate pulse shapes andtimings. We therefore propose the interpolation algorithm and itsimplementation as a useful extension of radio simulation codes, to limitcomputational effort while retaining accuracy.

A high-precision interpolation method for pulsed radio signals from cosmic-ray air showers