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Automatic Recognition of Type III Single Solar Radio Bursts for E-Callisto
Spectrum.
Yvonne Chiang Hui Yao
Supervisor: Dr. Nor Hazmin Binti Sabri
Co-Supervisor: Dr. Roslan bin Umar
Bachelor of Applied Science (Electronics and Instrumentation Physics)
School of Ocean Engineering
Solar radio bursts potentially provides important phenomena in solar physics. In radio
astronomy community, CALLISTO is used to capture the radio signal comes from solar
activities such as solar burst. However, the determination of solar burst existence is
done manually using spectrograph which appears for every 15 minutes. In order to
speed up and reduce the human error on the process of solar burst identification and
detection, this project presents a new method developed to detect type III single burst
automatically from the spectrum. There are three main stages involved in this
programming which are pre-processing, recognition and classification developed
using MATLAB. This project will benefit to radio astronomer and space weather
researcher by offering an effortless, hassle-free, time and cost effective solar burst
monitoring system.
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