A CNN trained on synthetic reverberation-mapping data recovers 1D and 2D transfer functions from noisy, gappy light curves, with a transfer-learning path to new continua.
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A Convolutional Neural Network for the Recovery of Transfer Functions From Velocity-Resolved Reverberation Mapping Data
A CNN trained on synthetic reverberation-mapping data recovers 1D and 2D transfer functions from noisy, gappy light curves, with a transfer-learning path to new continua.