Computer Science – Performance
Scientific paper
Jan 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21340603m&link_type=abstract
American Astronomical Society, AAS Meeting #213, #406.03; Bulletin of the American Astronomical Society, Vol. 41, p.199
Computer Science
Performance
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
Ivezic Zeljko
Kimball Amy E.
McGurk Rosalie C.
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