Using machine-learning techniques to drag galaxies from the noise in deep imaging
We propose to extend our current lead in the area of deep astronomical imaging to decipher the secrets of galaxy formation and evolution. In particular, we will prepare for the imaging from the Large Synoptic Survey Telescope (LSST) to which we will soon have privileged access. The LSST project is truly a 'Big Data' project in astrophysics, which
Johan Hendrik
Knapen Koelstra
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