PCA detection and denoising of Zeeman signatures in polarised stellar spectra
Aims: Our main objective is to develop a denoising strategy to increase the signal to noise ratio of individual spectral lines of stellar spectropolarimetric observations. Methods: We use a multivariate statistics technique called Principal Component Analysis. The cross-product matrix of the observations is diagonalized to obtain the eigenvectors
Martínez González, M. J. et al.
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8
2008