Filling Gaps in Indo-US Stellar Spectral Library using Principal Component Analysis

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2006-07-12

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Stellar Populations as Building Blocks of Galaxies Proceedings IAU Symposium

Abstract

The Indo-US coud´e feed stellar spectral library (CFLIB) published recently by Valdes et al. (2004) contains spectra of 1273 stars in the spectral region 3460 to 9464 ˚A at a resolution of 1 ˚A. About 500 stars in this database have gaps ranging from a few ˚A to several tens of ˚A in this wavelength range. We use a variation of Principal Component Analysis (PCA) technique to fill gaps of up to 5˚A in a subset of spectra from the CFLIB. We hope to exploit the full potential of the scheme and attempt to fill larger gaps in stellar spectra in a subsequent study.

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Stars: Catalogs, Principal Component Analysis, Methods: Data Analysis

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