Solar Variability and Automated Analysis for Space Weather
dc.contributor.author | Giersch, Owen David | |
dc.contributor.supervisor | Prof. Mervyn Lynch | |
dc.date.accessioned | 2017-02-20T02:17:35Z | |
dc.date.available | 2017-02-20T02:17:35Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/48641 | |
dc.description.abstract |
This thesis explores solar variability and particularly the consistency and accuracy of its measurement over the period 1945-2015. Automated algorithms have been implemented to measure to measure sunspot number, area and classification and compared with manual reduction techniques. Parameters developed were then used to determine X-ray associations with regions. Automated Ha flare analysis was also developed. | en_US |
dc.publisher | Curtin University | en_US |
dc.title | Solar Variability and Automated Analysis for Space Weather | en_US |
dc.type | Thesis | en_US |
dcterms.educationLevel | PhD | |
curtin.department | School of Science | en_US |
curtin.accessStatus | Open access | en_US |
curtin.faculty | Science and Engineering | en_US |