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[submitted] The RUN Pipeline: Strong lens classification and detection of small Einstein radius systems

The RUN Pipeline first classifies strong lenses with a ResNet model (first Github repo below), and further detects the locations of small Einstein radius systems in cutout images down to θ_E∼0.03″ with a U-Net model (second Github repo below). A detailed description is provided in the paper "ML-Driven Strong Lens Discoveries: Down to θ_E∼0.03″ and Mhalo

Code site:
https://github.com/esilver01/resnet-model-training https://github.com/rrw136/RUN_pipeline

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