Finding high-redshift strong lenses in DES using convolutional neural networks - The Dark Energy Survey

Finding high-redshift strong lenses in DES using convolutional neural networks

January 23, 2019 | C. Jacobs , C. McCarthy , et al. , K. Glazebrook , K. Qin and T. Collett

« Transfer learning for galaxy morphology from one survey to another

First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release »