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Full-Text Articles in Physical Sciences and Mathematics
Transform Based Approaches For The Detection Of Astrophysical Signals, Marwan Mahfud Alkhweldi
Transform Based Approaches For The Detection Of Astrophysical Signals, Marwan Mahfud Alkhweldi
Graduate Theses, Dissertations, and Problem Reports
Development of new algorithms for the detection of isolated astrophysical pulses is of interest to radio astronomers. Both Fast Radio Bursts (FRBs) and several Rotating Radio Transients (RRATs) were detected through the application of a single pulse search algorithm. The conventional approach to detect astronomical pulses requires an exhaustive search for the correct dispersion measure. Its accelerated versions involve signal processing in Fourier transform space.
In this dissertation, we present several new transform-based approaches for the detection and analysis of astrophysical signals with the latest being the most effective and advanced of all. It is implemented in several steps. First, …
Identification And Classification Of Radio Pulsar Signals Using Machine Learning, Di Pang
Identification And Classification Of Radio Pulsar Signals Using Machine Learning, Di Pang
Graduate Theses, Dissertations, and Problem Reports
Automated single-pulse search approaches are necessary as ever-increasing amount of observed data makes the manual inspection impractical. Detecting radio pulsars using single-pulse searches, however, is a challenging problem for machine learning because pul- sar signals often vary significantly in brightness, width, and shape and are only detected in a small fraction of observed data.
The research work presented in this dissertation is focused on development of ma- chine learning algorithms and approaches for single-pulse searches in the time domain. Specifically, (1) We developed a two-stage single-pulse search approach, named Single- Pulse Event Group IDentification (SPEGID), which automatically identifies and clas- …