Lowering In-Memory Footprint of Antenna Beams via Polynomial Approximation
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910766729265152 |
|---|---|
| author | Taqi, Ali Adámek, Karel Gueuning, Quentin Serylak, Maciej Laing, Robert Armour, Wesley |
| author_facet | Taqi, Ali Adámek, Karel Gueuning, Quentin Serylak, Maciej Laing, Robert Armour, Wesley |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_21010 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Lowering In-Memory Footprint of Antenna Beams via Polynomial Approximation Taqi, Ali Adámek, Karel Gueuning, Quentin Serylak, Maciej Laing, Robert Armour, Wesley Instrumentation and Methods for Astrophysics 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. |
| title | Lowering In-Memory Footprint of Antenna Beams via Polynomial Approximation |
| topic | Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2412.21010 |