2019
DOI: 10.1093/mnras/stz1823
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A classifier to detect elusive astronomical objects through photometry

Abstract: ABSTRACT The application of machine learning principles in the photometric search of elusive astronomical objects has been a less-explored frontier of research. Here, we have used three methods, the neural network and two variants of k-nearest neighbour, to identify brown dwarf candidates using the photometric colours of known brown dwarfs. We initially check the efficiencies of these three classification techniques, both individually and collectively, on known o… Show more

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