High-Time Resolution GPU Imager for Low-Frequency Radio Telescopes
| dc.contributor.author | Aniruddha, Gayatri | |
| dc.contributor.supervisor | Marcin Sokolowski | en_US |
| dc.contributor.supervisor | Ramesh Bhat | en_US |
| dc.date.accessioned | 2024-10-15T05:22:37Z | |
| dc.date.available | 2024-10-15T05:22:37Z | |
| dc.date.issued | 2023 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/96121 | |
| dc.description.abstract |
This thesis describes an implementation of a high-time-resolution GPU imager for radio astronomy data, which would be a part of the larger GPU-based processing pipeline searching for FRBs and its benchmarks on Topaz and Setonix supercomputers. Finally, the thesis also showcases the results of a pilot FRB survey using a few hours of 100 ms data from the SKA-Low prototype station (EDA2). | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | High-Time Resolution GPU Imager for Low-Frequency Radio Telescopes | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | MPhil | en_US |
| curtin.department | School of Electrical Engineering, Computing and Mathematical Sciences | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Science and Engineering | en_US |
| curtin.contributor.orcid | Aniruddha, Gayatri [0000-0003-0951-7914] | en_US |