Multispectral Study Of Major Solar Flares Toward Flares Predictions

Major solar flares (X-class) are the most dangerous solar activities for the Earth in terms of space weather. It is due to a magnetic eruption and sudden release of intense magnetic energy at active regions (AR). The main objective of this research is to identify AR characteristics (McIntosh and Mt...

Full description

Saved in:
Bibliographic Details
Main Author: Roslan, Muhamad Akram Zaki
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://eprints.usm.my/49577/1/MUHAMAD%20AKRAM%20ZAKI%20BIN%20ROSLAN%20-%20MULTISPECTRAL%20STUDY%20OF%20MAJOR%20SOLAR.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-usm-ep.49577
record_format uketd_dc
spelling my-usm-ep.495772021-08-06T02:06:08Z Multispectral Study Of Major Solar Flares Toward Flares Predictions 2018-09 Roslan, Muhamad Akram Zaki QC1 Physics (General) Major solar flares (X-class) are the most dangerous solar activities for the Earth in terms of space weather. It is due to a magnetic eruption and sudden release of intense magnetic energy at active regions (AR). The main objective of this research is to identify AR characteristics (McIntosh and Mt Wilson class) associated with major solar flares from NGDC data and to formulate criteria for its early prediction. These criteria are enhanced by qualitative multispectral images. Multispectral images such as a continuum, magnetogram, and EIT 195Å images from SOHO were used in this research. This study took into account the evolution of AR, properties of AR (Zurich, Penumbra, Compactness and Mt Wilson class), the morphology of magnetic flux rope (MFR), and formation of magnetic sigmoidal shape. Considering data availability and consistency, we chose five AR, namely AR 10486, AR 9393, AR 9415, AR 10720 and AR 9077 were chosen. Each AR generated series of major flares, resulting in a total of 21 flares studied. Images were analysed and interpreted by using ImageJ and Helio Viewer to measure solar flares features. The appearance of magnetic sigmoidal shape can be seen in EIT 195Å images while MFR can be seen in magnetogram images. The prediction criteria state that major flares occur at AR that has Zurich D, E or F, Penumbra class K, Compactness class I and C, and Mt Wilson class BGD. A negative prediction showed AR that will not produce major solar flares with 99.5% accuracy and 98% sensitivity. This prediction method can give early warning for major solar flares occurrences within 1-4 days. By including MFR and sigmoidal shape images, the accuracy of the prediction was improved. 2018-09 Thesis http://eprints.usm.my/49577/ http://eprints.usm.my/49577/1/MUHAMAD%20AKRAM%20ZAKI%20BIN%20ROSLAN%20-%20MULTISPECTRAL%20STUDY%20OF%20MAJOR%20SOLAR.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Fizik
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QC1 Physics (General)
spellingShingle QC1 Physics (General)
Roslan, Muhamad Akram Zaki
Multispectral Study Of Major Solar Flares Toward Flares Predictions
description Major solar flares (X-class) are the most dangerous solar activities for the Earth in terms of space weather. It is due to a magnetic eruption and sudden release of intense magnetic energy at active regions (AR). The main objective of this research is to identify AR characteristics (McIntosh and Mt Wilson class) associated with major solar flares from NGDC data and to formulate criteria for its early prediction. These criteria are enhanced by qualitative multispectral images. Multispectral images such as a continuum, magnetogram, and EIT 195Å images from SOHO were used in this research. This study took into account the evolution of AR, properties of AR (Zurich, Penumbra, Compactness and Mt Wilson class), the morphology of magnetic flux rope (MFR), and formation of magnetic sigmoidal shape. Considering data availability and consistency, we chose five AR, namely AR 10486, AR 9393, AR 9415, AR 10720 and AR 9077 were chosen. Each AR generated series of major flares, resulting in a total of 21 flares studied. Images were analysed and interpreted by using ImageJ and Helio Viewer to measure solar flares features. The appearance of magnetic sigmoidal shape can be seen in EIT 195Å images while MFR can be seen in magnetogram images. The prediction criteria state that major flares occur at AR that has Zurich D, E or F, Penumbra class K, Compactness class I and C, and Mt Wilson class BGD. A negative prediction showed AR that will not produce major solar flares with 99.5% accuracy and 98% sensitivity. This prediction method can give early warning for major solar flares occurrences within 1-4 days. By including MFR and sigmoidal shape images, the accuracy of the prediction was improved.
format Thesis
qualification_level Master's degree
author Roslan, Muhamad Akram Zaki
author_facet Roslan, Muhamad Akram Zaki
author_sort Roslan, Muhamad Akram Zaki
title Multispectral Study Of Major Solar Flares Toward Flares Predictions
title_short Multispectral Study Of Major Solar Flares Toward Flares Predictions
title_full Multispectral Study Of Major Solar Flares Toward Flares Predictions
title_fullStr Multispectral Study Of Major Solar Flares Toward Flares Predictions
title_full_unstemmed Multispectral Study Of Major Solar Flares Toward Flares Predictions
title_sort multispectral study of major solar flares toward flares predictions
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Fizik
publishDate 2018
url http://eprints.usm.my/49577/1/MUHAMAD%20AKRAM%20ZAKI%20BIN%20ROSLAN%20-%20MULTISPECTRAL%20STUDY%20OF%20MAJOR%20SOLAR.pdf
_version_ 1747822004033028096