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Mathematical methods for classifying fast radio bursts
The recent extragalactic discovery of Fast Radio Bursts (FRBs) has ignited a whirlwind of research, and numerous fundamental questions about them are being studied. This thesis delves into this field, aiming to bridge the gap in our exploration of FRB populations. The FRBs are cosmic transients char...
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| Format: | Thesis |
| Language: | English English |
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Department of Mathematics and Applied Mathematics
2025
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| _version_ | 1867613297506779136 |
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| access_status_str | Open Access |
| author | Bhatporia, Shruti |
| author2 | Weltman, Amanda |
| author_browse | Bhatporia, Shruti Weltman, Amanda |
| author_facet | Weltman, Amanda Bhatporia, Shruti |
| author_sort | Bhatporia, Shruti |
| collection | Thesis |
| description | The recent extragalactic discovery of Fast Radio Bursts (FRBs) has ignited a whirlwind of research, and numerous fundamental questions about them are being studied. This thesis delves into this field, aiming to bridge the gap in our exploration of FRB populations. The FRBs are cosmic transients characterised by powerful millisecond-duration radio waves emanating from extragalactic distances. Their origins remain a mystery, fueling ongoing debate regarding progenitor models. Despite their ephemeral nature, the energy output of a single FRB can surpass the daily radiant energy emitted by a main sequence star in a radio band. While undoubtedly powerful astrophysical phenomena, their transient nature presents a significant challenge in pinpointing source locations. The discovery of the first FRB in 2001 was initially met with scepticism and attributed to instrumental error. However, advancements in telescope sensitivity and data analysis techniques have led to the detection of numerous subsequent FRBs, solidifying their status as a novel class of astronomical phenomenon. Unveiling the mysteries surrounding FRBs encompasses a multifaceted research endeavour. Astronomers are actively engaged in identifying their host environments, elucidating the mechanisms responsible for their tremendous energy release, and exploring potential sub-classifications within the FRB population. By deciphering the secrets of FRBs, we stand to gain invaluable insights into extreme astrophysical processes and the nature of the distant Universe. The Hydrogen Intensity Real-time eXperiment (HIRAX) is a next-generation instrument specifically designed to detect and localise FRB along with intensity mapping. To efficiently manage the high-volume data stream generated by HIRAX, a dedicated FRB processing pipeline is essential. We explore FRB rates with the HIRAX instrument in this thesis. We also discuss the FRB detection pipeline with this radio telescope. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/42230 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| last_indexed | 2026-06-10T12:33:54.099Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Department of Mathematics and Applied Mathematics |
| publisherStr | Department of Mathematics and Applied Mathematics |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/42230 Mathematical methods for classifying fast radio bursts Bhatporia, Shruti Weltman, Amanda Fast radio bursts The recent extragalactic discovery of Fast Radio Bursts (FRBs) has ignited a whirlwind of research, and numerous fundamental questions about them are being studied. This thesis delves into this field, aiming to bridge the gap in our exploration of FRB populations. The FRBs are cosmic transients characterised by powerful millisecond-duration radio waves emanating from extragalactic distances. Their origins remain a mystery, fueling ongoing debate regarding progenitor models. Despite their ephemeral nature, the energy output of a single FRB can surpass the daily radiant energy emitted by a main sequence star in a radio band. While undoubtedly powerful astrophysical phenomena, their transient nature presents a significant challenge in pinpointing source locations. The discovery of the first FRB in 2001 was initially met with scepticism and attributed to instrumental error. However, advancements in telescope sensitivity and data analysis techniques have led to the detection of numerous subsequent FRBs, solidifying their status as a novel class of astronomical phenomenon. Unveiling the mysteries surrounding FRBs encompasses a multifaceted research endeavour. Astronomers are actively engaged in identifying their host environments, elucidating the mechanisms responsible for their tremendous energy release, and exploring potential sub-classifications within the FRB population. By deciphering the secrets of FRBs, we stand to gain invaluable insights into extreme astrophysical processes and the nature of the distant Universe. The Hydrogen Intensity Real-time eXperiment (HIRAX) is a next-generation instrument specifically designed to detect and localise FRB along with intensity mapping. To efficiently manage the high-volume data stream generated by HIRAX, a dedicated FRB processing pipeline is essential. We explore FRB rates with the HIRAX instrument in this thesis. We also discuss the FRB detection pipeline with this radio telescope. 2025-11-17T10:35:40Z 2025-11-17T10:35:40Z 2025 2025-11-17T10:31:18Z Thesis / Dissertation Doctoral PhD http://hdl.handle.net/11427/42230 en eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science University of Cape Town |
| spellingShingle | Fast radio bursts Bhatporia, Shruti Mathematical methods for classifying fast radio bursts |
| thesis_degree_str | Doctoral |
| title | Mathematical methods for classifying fast radio bursts |
| title_full | Mathematical methods for classifying fast radio bursts |
| title_fullStr | Mathematical methods for classifying fast radio bursts |
| title_full_unstemmed | Mathematical methods for classifying fast radio bursts |
| title_short | Mathematical methods for classifying fast radio bursts |
| title_sort | mathematical methods for classifying fast radio bursts |
| topic | Fast radio bursts |
| url | http://hdl.handle.net/11427/42230 |
| work_keys_str_mv | AT bhatporiashruti mathematicalmethodsforclassifyingfastradiobursts |