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Solar Physics

, 294:112 | Cite as

Automated Detection of Solar Radio Bursts Using a Statistical Method

  • Dayal Singh
  • K. Sasikumar RajaEmail author
  • Prasad Subramanian
  • R. Ramesh
  • Christian Monstein
Article

Abstract

Radio bursts from the solar corona can provide clues to forecast space-weather hazards. After recent technology advancements, regular monitoring of radio bursts has increased and large observational datasets are produced. Hence, manual identification and classification of them is a challenging task. In this article, we describe an algorithm to automatically identify radio bursts from dynamic solar radio spectrograms using a novel statistical method. We use e-CALLISTO (Compound Astronomical Low Cost Low Frequency Instrument for Spectroscopy and Transportable Observatory) radio spectrometer data obtained at Gauribidanur Observatory near Bangalore in India during 2013 – 2014. We have studied the classifier performance using the receiver operating characteristics. Further, we analyze type III bursts observed in the year 2014 and find that \(75\%\) of the observed bursts were below 200 MHz. Our analysis shows that the positions of flare sites, which are associated with the type III bursts with upper frequency cutoff \(\gtrsim200\) MHz originate close to the solar disk center.

Keywords

Corona, radio emission Radio bursts Instrumentation and data management 

Notes

Acknowledgements

D.S. acknowledges the INSPIRE-SHE program of the Department of Science and Technology, India. K.S.R. acknowledges the financial support from the Science and Engineering Research Board (SERB), Department of Science and Technology, India (PDF/2015/000393). K.S.R. acknowledges the NVIDIA Corporation for supporting this project by donating the Titan Xp GPU. The authors would like to thank the anonymous referee for his/her comments that helped in improving the manuscript.

Disclosure of Potential Conflicts of Interest

The author declares that there are no conflicts of interest.

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Indian Institute of Science Education and ResearchPashanIndia
  2. 2.Physical Research LaboratoryNavrangpuraIndia
  3. 3.Indian Institute of AstrophysicsKoramangalaIndia
  4. 4.Istituto Ricerche Solari Locarno (IRSOL)Locarno MontiSwitzerland

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