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Galaxy morphological classification in deep-wide surveys via unsupervised machine learning
(2019-10-26)
Galaxy morphology is a fundamental quantity, that is essential not only for the full spectrum of galaxy-evolution studies, but also for a plethora of science in observational cosmology. While a rich literature exists on ...
Generative deep fields : arbitrarily sized, random synthetic astronomical images through deep learning
(2019-10-21)
Generative Adversarial Networks (GANs) are a class of artificial neural network that can produce realistic, but artificial, images that resemble those in a training set. In typical GAN architectures these images are small, ...
The case for a 'sub-millimeter SDSS' : a 3D map of galaxy evolution to z~10
(2019-05-31)
The Sloan Digital Sky Survey (SDSS) was revolutionary because of the extraordinary breadth and ambition of its optical imaging and spectroscopy. We argue that a 'sub-millimeter SDSS' - a sensitive large-area imaging+spectroscopic ...