Investigations related to the impact caused by solar radio burst emissions on space weather forecasting and human activities have been ongoing for a long time. Solar activities based on radio spectra are recorded by using a radio spectrometer from ground Earth. Currently, manual observations are conducted for burst detection using the Compound Astronomical Low-Cost Low-Frequency Instrument for Spectroscopy and Transportable Observatory (CALLISTO) spectrometer that is able to generate more than one thousand spectra a day at each station. This Burst-Finder was developed to automatically detect the presence of solar radio bursts from the spectra using MATLAB. This study processed 1491 CALLISTO spectra images from 31 stations on 11 February 2014, in which Type II and Type III burst occurrences were detected. The success rate for burst detection was about 89%. This automated system offers CALLISTO uses an effortless and hassle-free tool for burst detection in order to monitor solar bursts during a complete cycle of 11 years.
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This study is made possible by the FRGS/1/2015/SG02/UNISZA/02/1 Grant and 68006/INSENTIF/60. The authors gratefully acknowledge of ETH Zurich for the free access to spectrum data. They also thankful to founder of CALLISTO, Christian Monstein and East Coast Environmental Research Institute in Universiti Sultan Zainal Abidin for the moral support. Special thanks is also dedicated to other researchers in the Electromagnetic Research Group (EMRG) for their assistance in this work.
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Afandi, N.Z.M., Sabri, N.H., Umar, R. et al. Burst-Finder: burst recognition for E-CALLISTO spectra. Indian J Phys 94, 947–957 (2020). https://doi.org/10.1007/s12648-019-01551-2
- Solar radio burst
- Radio spectra
- Automatic detection
- 07.55 Ge