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arXiv Machine Learning By Bruno Santos Meneses Barreto, Marcio Eisencraft

Classification of Astronomical Spectra Using PCA-Compressed Flux and Inverse-Variance Features

Read the original on arXiv Machine Learning →

arXiv:2606. 13978v1 Announce Type: cross Abstract: This paper evaluates a signal-processing and supervised-learning pipeline for classifying SDSS DR17 astronomical spectra into stars, galaxies, and quasars.

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