With the emergence of new radio telescopes promising larger fields of view at lower observation frequencies (e.g., SKA), addressing direction-dependent effects (DDE) (e.g., direction-specific beam responses), polarisation leakage, and pointing errors has become all the more important. Be it through A-projection or otherwise, addressing said effects often requires reliable representations of antenna/station beams; yet, these require significant amounts of computational memory as they are baseline-, frequency-, time-, and polarisation-dependent. A novel prototype is reported here to approximate antenna beams suitable for SKA-MID using Zernike polynomials. It is shown that beam kernels can be well approximated, paving the way for future optimisations towards facilitating more efficient beam-dependent solutions and approaches to tackling the aforementioned challenges, all of which are essential for large-scale radio telescopes.
@article{arxiv.2412.21010,
title = {Lowering In-Memory Footprint of Antenna Beams via Polynomial Approximation},
author = {Ali Taqi and Karel Adámek and Quentin Gueuning and Maciej Serylak and Robert Laing and Wesley Armour},
journal= {arXiv preprint arXiv:2412.21010},
year = {2024}
}