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A multi-wavelength analysis of active regions and sunspots by comparison of automatic detection algorithms
Verbeeck, C. Higgins, P.A. Colak, Tufan Watson, F.T. Delouille, V. Mampaey, B.
Verbeeck, C.
Higgins, P.A.
Colak, Tufan
Watson, F.T.
Delouille, V.
Mampaey, B.
Publication Date
2013-03
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(c) 2013 Springer Netherlands. Full-text reproduced in accordance with the publisher's self-archiving policy.
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openAccess
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Abstract
The launch of the Solar Dynamics Observatory (SDO) in early 2010 has provided the solar physics community with the most detailed view of the Sun to date. However, this presents new challenges for the analysis of solar data. Currently,
SDO sends over 1 terabyte of data per day back to Earth and methods for fast and reliable analysis are more important than ever. This article details four algorithms developed separately at the Universities of Bradford and Glasgow, the
Royal Observatory of Belgium and Trinity College Dublin for the purposes of automated detection of solar active regions (ARs) and sunspots at different levels of the solar atmosphere.
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Accepted manuscript
Citation
Verbeeck C, Higgins PA, Colak T et al (2013) A multi-wavelength analysis of active regions and sunspots by comparison of automatic detection algortihms. Solar Physics. 283(1): 67-95.
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