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UnEZ: A Fully Unsupervised Self-Templating Neural Network for Redshift and Line Strength Estimation
As spectroscopic surveys grow, estimating galaxy properties such as metallicity, star formation rate, and redshift becomes computationally cumbersome. Methods of estimating such properties rely on template spectra or curated redshift catalogs, which fail to represent the diversity of objects seen in
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