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Automated sunspot detection and the evolution of sunspot magnetic fields during solar cycle 23

Published online by Cambridge University Press:  26 August 2011

Fraser Watson  and
Lyndsay Fletcher
Fraser Watson
Affiliation:
Department of Physics and Astronomy Kelvin Building, University of Glasgow, Glasgow, UK email: [email protected]
Lyndsay Fletcher
Affiliation:
Department of Physics and Astronomy Kelvin Building, University of Glasgow, Glasgow, UK email: [email protected]
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Abstract

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The automated detection of solar features is a technique which is relatively underused but if we are to keep up with the flow of data from spacecraft such as the recently launched Solar Dynamics Observatory, then such techniques will be very valuable to the solar community. Automated detection techniques allow us to examine a large set of data in a consistent way and in relatively short periods of time allowing for improved statistics to be carried out on any results obtained. This is particularly useful in the field of sunspot study as catalogues can be built with sunspots detected and tracked without any human intervention and this provides us with a detailed account of how various sunspot properties evolve over time. This article details the use of the Sunspot Tracking And Recognition Algorithm (STARA) to create a sunspot catalogue. This catalogue is then used to analyse the magnetic fields in sunspot umbrae from 1996-2010, taking in the whole of solar cycle 23.

Keywords

Sun: evolutionsun: magnetic fieldssun: photospheresunspotstechniques: image processing
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 6 , Symposium S273: The Physics of Sun and Star Spots , August 2010 , pp. 51 - 55
Copyright
Copyright © International Astronomical Union 2011

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