Advanced methods for transient detection in radio interferometry

Xia Zhang

doi:10.26182/zbzz-vp94

Advanced methods for transient detection in radio interferometry

Xia Zhang

School of Physics, Mathematics and Computing

Research output: Thesis › Doctoral Thesis

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Abstract

A transient is an astronomical phenomenon that appears and disappears in a short time. The Square Kilometre Array (SKA), the world's largest radio telescope and currently under construction, will discover and help to understand these transients with unprecedented sensitivity. This work uses advanced image processing algorithms and machine learning techniques to improve the detection of celestial transients from signals buried within the noise. This will help the SKA telescope to cope with the big data challenges encountered in large-scale radio astronomical observations, efficiently.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Wicenec, Andreas, Supervisor Dodson, Richard, Supervisor
Award date	8 Mar 2022
DOIs	https://doi.org/10.26182/zbzz-vp94
Publication status	Unpublished - 2022

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10.26182/zbzz-vp94

THESIS - DOCTOR OF PHILOSOPHY - ZHANG, Xia - 2022
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Cite this

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title = "Advanced methods for transient detection in radio interferometry",

abstract = "A transient is an astronomical phenomenon that appears and disappears in a short time. The Square Kilometre Array (SKA), the world's largest radio telescope and currently under construction, will discover and help to understand these transients with unprecedented sensitivity. This work uses advanced image processing algorithms and machine learning techniques to improve the detection of celestial transients from signals buried within the noise. This will help the SKA telescope to cope with the big data challenges encountered in large-scale radio astronomical observations, efficiently.",

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AB - A transient is an astronomical phenomenon that appears and disappears in a short time. The Square Kilometre Array (SKA), the world's largest radio telescope and currently under construction, will discover and help to understand these transients with unprecedented sensitivity. This work uses advanced image processing algorithms and machine learning techniques to improve the detection of celestial transients from signals buried within the noise. This will help the SKA telescope to cope with the big data challenges encountered in large-scale radio astronomical observations, efficiently.

KW - radio astronomy

KW - interferometer

KW - the SKA

KW - Radio transients

KW - imaging processing

KW - machine learning

KW - visibilities

U2 - 10.26182/zbzz-vp94

DO - 10.26182/zbzz-vp94

M3 - Doctoral Thesis

ER -

Advanced methods for transient detection in radio interferometry

Abstract

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