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What will the student do?
This is a Big Data project. We have 30,000 deg^2 of ATLAS images from the Northern sky down to Dec=-50 deg (all reduced), and about 5000 deg^2 of deep DECam images around the location of historic supernova in the southern hemisphere. We use a cluster with 128 CPUs and 200 TB of disk space, which the student will use to oversee the DECam image reduction (difference image pipeline is all set up). The goal is then to create tools to find the light echoes in these large data sets. We start with tools to visually inspect the images for obvious light echoes, and then develop machine learning tools to find the fainter light echoes (potentially using the Galaxy Zoo machinery to involve the public in the search).
