Implementation of Frequency Drift for Identification of Solar Radio Burst Type II
Sun is constantly produced mass and radiation during its natural activities, which will interact with ionosphere and affect the earth weather. In radio astronomer community, CALLISTO is used to capture the radio signal comes from solar activities such as solar burst. Solar flares and Coronal Mass Ej...
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| Format: | Article |
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Insight Society
2016
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| _version_ | 1796960423262552064 |
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| author | Afandi, N.Z.M. Abidin, Z.Z. Umar, R. Sabri, N.H. Ibrahim, Z.A. Monstein, C. |
| author_facet | Afandi, N.Z.M. Abidin, Z.Z. Umar, R. Sabri, N.H. Ibrahim, Z.A. Monstein, C. |
| author_sort | Afandi, N.Z.M. |
| collection | UM |
| description | Sun is constantly produced mass and radiation during its natural activities, which will interact with ionosphere and affect the earth weather. In radio astronomer community, CALLISTO is used to capture the radio signal comes from solar activities such as solar burst. Solar flares and Coronal Mass Ejections (CMEs) were closely associated with the production of solar radio burst Type II and III. However, the determination of solar burst existence is done manually using spectrograph which appears for every 15 minutes. In order to assist the solar radio researcher to speed up the process of solar burst identification and detection, this work presents a new algorithm to auto classify solar radio burst Type II and III. The value of frequency drift was used as the main idea in this auto classify algorithm because it can easily implemented using MATLAB. There are three main steps involved named as pre-processing, identification and classification. Auto calculation of frequency drift burst on spectra was obtained from two parts which are frequency axis (df) and time axis (dt). The results of the frequency drift implementation in classification algorithm show that the algorithm developed gave almost similar determination as in manual detection. However, there are always have rooms for improvement for better detection system in future which may include specific characterization of bursts and improved noise elimination. |
| first_indexed | 2024-03-06T05:44:22Z |
| format | Article |
| id | um.eprints-18075 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:44:22Z |
| publishDate | 2016 |
| publisher | Insight Society |
| record_format | dspace |
| spelling | um.eprints-180752017-10-24T02:01:01Z http://eprints.um.edu.my/18075/ Implementation of Frequency Drift for Identification of Solar Radio Burst Type II Afandi, N.Z.M. Abidin, Z.Z. Umar, R. Sabri, N.H. Ibrahim, Z.A. Monstein, C. Q Science (General) QC Physics Sun is constantly produced mass and radiation during its natural activities, which will interact with ionosphere and affect the earth weather. In radio astronomer community, CALLISTO is used to capture the radio signal comes from solar activities such as solar burst. Solar flares and Coronal Mass Ejections (CMEs) were closely associated with the production of solar radio burst Type II and III. However, the determination of solar burst existence is done manually using spectrograph which appears for every 15 minutes. In order to assist the solar radio researcher to speed up the process of solar burst identification and detection, this work presents a new algorithm to auto classify solar radio burst Type II and III. The value of frequency drift was used as the main idea in this auto classify algorithm because it can easily implemented using MATLAB. There are three main steps involved named as pre-processing, identification and classification. Auto calculation of frequency drift burst on spectra was obtained from two parts which are frequency axis (df) and time axis (dt). The results of the frequency drift implementation in classification algorithm show that the algorithm developed gave almost similar determination as in manual detection. However, there are always have rooms for improvement for better detection system in future which may include specific characterization of bursts and improved noise elimination. Insight Society 2016 Article PeerReviewed Afandi, N.Z.M. and Abidin, Z.Z. and Umar, R. and Sabri, N.H. and Ibrahim, Z.A. and Monstein, C. (2016) Implementation of Frequency Drift for Identification of Solar Radio Burst Type II. International Journal on Advanced Science, Engineering and Information Technology, 6 (5). p. 775. ISSN 2088-5334, DOI https://doi.org/10.18517/ijaseit.6.5.1152 <https://doi.org/10.18517/ijaseit.6.5.1152>. http://dx.doi.org/10.18517/ijaseit.6.5.1152 doi:10.18517/ijaseit.6.5.1152 |
| spellingShingle | Q Science (General) QC Physics Afandi, N.Z.M. Abidin, Z.Z. Umar, R. Sabri, N.H. Ibrahim, Z.A. Monstein, C. Implementation of Frequency Drift for Identification of Solar Radio Burst Type II |
| title | Implementation of Frequency Drift for Identification of Solar Radio Burst Type II |
| title_full | Implementation of Frequency Drift for Identification of Solar Radio Burst Type II |
| title_fullStr | Implementation of Frequency Drift for Identification of Solar Radio Burst Type II |
| title_full_unstemmed | Implementation of Frequency Drift for Identification of Solar Radio Burst Type II |
| title_short | Implementation of Frequency Drift for Identification of Solar Radio Burst Type II |
| title_sort | implementation of frequency drift for identification of solar radio burst type ii |
| topic | Q Science (General) QC Physics |
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