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.
Lyman Break Galaxies at z~3 and Beyond
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
We report on the status of large surveys of photometrically selected star forming galaxies at z~3 and z~4, with particular emphasis on both the advantages and the limitations of selecting objects using the ``Lyman break'' technique. Current results on the luminosity functions, luminosity densities, color distribution, star formation rates, clustering properties, and the differential evolution of the population as a function of redshift are summarized.
citation-role summary
background 1
citation-polarity summary
fields
astro-ph.CO 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.