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We conduct a search for strong gravitational lenses in the Dark Energy Survey (DES) Year 6 imaging data. We implement a pre-trained Vision Transformer (ViT) for our machine learning (ML) architecture and adopt interactiv...

We reconstruct the late-time expansion history of the Universe in a fully model-independent manner. By combining observations from cosmic chronometers (CCs), the Dark Energy Spectroscopic Instrument (DESI) baryon acousti...