A supervised weighted contrastive learning pipeline, zlbg, improves contaminant rejection in DESI Lyman Break Galaxy spectra while matching the redshift accuracy of the existing lbgNET pipeline.
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Lyman Break Galaxy selection and redshift measurement with supervised contrastive learning
A supervised weighted contrastive learning pipeline, zlbg, improves contaminant rejection in DESI Lyman Break Galaxy spectra while matching the redshift accuracy of the existing lbgNET pipeline.