Principal component analysis - an efficient tool for variable stars diagnostics

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Authors	MIKULÁŠEK Zdeněk
Year of publication	2007
Type	Article in Periodical
Magazine / Source	Astronomical and astrophysical transactions : the journal of the Soviet Astronomical Society.
MU Faculty or unit	Faculty of Science
Citation
Field	Astronomy and astrophysics
Keywords	variable stars: light curves; Principal Component Analysis; Least Square Method; Robust regression
Description	We present two diagnostic methods based on ideas of principal component analysis and demonstrate their efficiency for sophisticated processing of multicolour photometric observations of variable objects.
Related projects:	New approaches to variable stars data processing and interpretation Fotometrický výzkum zákrytových dvojhvězd