most citedReliability checks on the Indo-US Stellar Spectral Library using Artificial Neural Networks and Principal Component Analysis

10 citations · 10 across the 1 of their papers we have counts for

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1 paper

astro-ph2005★ 10 cited

Reliability checks on the Indo-US Stellar Spectral Library using Artificial Neural Networks and Principal Component Analysis

Harinder P. Singh, Manabu Yuasa, Nawo Yamamoto +1

The Indo-US coudé feed stellar spectral library (CFLIB) made available to the astronomical community recently by Valdes et al. (2004) contains spectra of 1273 stars in the spectral…