... Wilson classification scheme groups sunspots into four classes based on the complexity of magnetic flux distribution in associated active regions [1]: class: groups dominated by a single unipolar sunspot class: a pair of sunspots of opposite magnetic ...
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Ссылки http://hea-www.harvard.edu/AstroStat/SolStat2012/ePoster_dstenning.pdf -- 406.1 Кб -- 01.03.2012 Похожие документы
... Classification of Sunspot Groups Using SOHO/MDI Magnetogram and White Light Images David Stenning March 29, 2011 1 Introduction and Motivation Although solar data is being generated at an unprecedented rate, the majority of sunspot classification is done ...
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Ссылки http://hea-www.harvard.edu/AstroStat/Stat310_1011/ds_20110329.pdf -- 635.7 Кб -- 29.03.2011 Похожие документы
... paper in the list discusses MCMC for time series analysis, applied to sunspot data ... Modelling coloured noise (MCMC & sunspot data) . ... priors , probability , SDSS , stellar populations , sunspot , time series ...
... paper in the list discusses MCMC for time series analysis, applied to sunspot data ... priors , probability , SDSS , stellar populations , sunspot , time series ... neural network , outlier , SDSS , sunspot , systematic errors , topology , WMAP ...
... These astronomers go by solar physicists, who enjoy the most abundant data including 400 year long sunspot counts. ... machine learning , predictor , response , space weather , Sun , sunspot , SVM , test data , training data , weather ...
... Posted by hlee . The last paper in the list discusses MCMC for time series analysis, applied to sunspot data. ... LF , LMC , machine learning , maximum likelihood , priors , probability , SDSS , stellar populations , sunspot , time series ...