162 citations · 738 across the 33 of their papers we have counts for
Showing 2019Show all
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astro-ph.IM2019★ 101 cited
Deblending and Classifying Astronomical Sources with Mask R-CNN Deep Learning
Colin J. Burke, Patrick D. Aleo, Yu-Ching Chen +4
We apply a new deep learning technique to detect, classify, and deblend sources in multi-band astronomical images. We train and evaluate the performance of an artificial neural net…
astro-ph.IM2019★ 8 cited
PhoSim-NIRCam: Photon-by-photon image simulations of the James Webb Space Telescope's Near-Infrared Camera
Colin J. Burke, John R. Peterson, Eiichi Egami +3
Recent instrumentation projects have allocated resources to develop codes for simulating astronomical images. Novel physics-based models are essential for understanding telescope,…