Applications Of Spectral Principle Component Analysis In AGN Research: Sample Selection and Beyond

Details Applications Of Spectral Principle Component Analysis In AGN Research: Sample Selection and Beyond Applications Of Spectral Principle Component Analysis In AGN Research: Sample Selection and Beyond

Dec 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aas...209.7202s&link_type=abstract

2007 AAS/AAPT Joint Meeting, American Astronomical Society Meeting 209, #72.02; Bulletin of the American Astronomical Society, V

Astronomy and Astrophysics

Astronomy

Scientific paper

Spectral principal component analysis (SPCA) has great potentials in AGN spectral research. It has been shown that SPCA is very powerful and efficient in classification, correlation analyses, and spectral parameter measurements. We present here how SPCA can be used to select samples from large spectral surveys like SDSS, based on spectral properties

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