Principal Component Analysis of SDSS Stellar Spectra

Computer Science – Performance

Scientific paper

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Scientific paper

We apply the Principal Component Analysis (PCA) to 140,000 stellar spectra obtained by SDSS. In order to avoid non-linear variation of spectra with effective temperature, we bin the sample into 0.02 mag wide intervals of the g-r color (-0.20

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