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Archetype-based Redshift Estimation for the Dark Energy Spectroscopic Instrument Survey
We present a computationally efficient galaxy archetype-based redshift estimation and spectral classification method for the Dark Energy Survey Instrument (DESI) survey. The DESI survey currently relies on a redshift fitter and spectral classifier using a linear combination of principal component an
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