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Discovering Faint and High Apparent Motion Rate Near-Earth Asteroids Using A Deep Learning Program. (arXiv:2208.09098v1 [astro-ph.IM])
Aug. 22, 2022, 1:10 a.m. | Franklin Wang, Jian Ge, Kevin Willis
cs.LG updates on arXiv.org arxiv.org
Although many near-Earth objects have been found by ground-based telescopes,
some fast-moving ones, especially those near detection limits, have been missed
by observatories. We developed a convolutional neural network for detecting
faint fast-moving near-Earth objects. It was trained with artificial streaks
generated from simulations and was able to find these asteroid streaks with an
accuracy of 98.7% and a false positive rate of 0.02% on simulated data. This
program was used to search image data from the Zwicky Transient Facility …
arxiv asteroids astro deep learning earth learning near rate
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