Celeste: Scalable variational inference for a generative model of astronomical images
نویسندگان
چکیده
Stars and galaxies radiate photons. An astronomical image records photons—each originating from a particular celestial body or from background atmospheric noise—that pass through a telescope’s lens during an exposure. Multiple celestial bodies may contribute photons to a single image (e.g. Figure 1), and even to a single pixel of an image. Locating and characterizing the imaged celestial bodies is an inference problem central to astronomy. This paper presents Celeste: a generative model of astronomical images accompanied by a fast variational inference procedure.
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Celeste: Variational inference for a generative model of astronomical images
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