{ "id": "1001.4340", "version": "v2", "published": "2010-01-25T08:28:19.000Z", "updated": "2010-01-26T09:04:28.000Z", "title": "Principal Component Analysis of SDSS Stellar Spectra", "authors": [ "Rosalie C. McGurk", "Amy E. Kimball", "Zeljko Ivezic" ], "comment": "25 pages, 15 figures, accepted by the Astronomical Journal", "journal": "Astronomical Journal, 139 (2010) 1261", "doi": "10.1088/0004-6256/139/3/1261", "categories": [ "astro-ph.SR", "astro-ph.GA" ], "abstract": "We apply Principal Component Analysis (PCA) to ~100,000 stellar spectra obtained by the Sloan Digital Sky Survey (SDSS). In order to avoid strong non-linear variation of spectra with effective temperature, the sample is binned into 0.02 mag wide intervals of the g-r color (-0.20