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2011MNRAS.410.2137C - Mon. Not. R. Astron. Soc., 410, 2137-2148 (2011/February-1)
The study of type Ia supernovae spectral diversity using principal component analysis.
CORMIER D. and DAVIS T.M.
Abstract (from CDS):
The main utility of PCA will be as a tool for characterizing large sets of spectra. We show how the information in a data base of supernova spectra can be vastly simplified using PCA. This can be used to make a continuum of spectral templates from a discrete library of spectra, which may be useful in k-corrections and the training of supernova light-curve fitters.
Abstract Copyright: 2010 The Authors. Journal compilation2010 RAS
Journal keyword(s): methods: data analysis - methods: statistical - techniques: spectroscopic - supernovae: general
Simbad objects: 16
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