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About this episode

Wide-area scans of the sky are an important tool for astronomers as they seek to learn more about the universe. However, as the latest observation techniques have become increasingly sensitive, faint objects within these surveys can appear to blend together. Through his research, Dr Peter Melchior at Princeton University presents a computer-based framework for disentangling these blended sources, and for artificially reconstructing the components they contain. Named SCARLET, the technique could soon help astronomers to study the depths of the observable universe in unprecedented levels of detail.

Original Article Reference

This SciPod is a summary of the paper ‘SCARLET: Source separation in multi-band images by Constrained Matrix Factorization’, from Astronomy & Computing. doi.org/10.1016/j.ascom.2018.07.001

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