LSST Cadence Strategy Evaluations for AGN Time-series Data in Wide-Fast-Deep Field

Xinyue Sheng, Nicholas Ross, Matt Nicholl

Machine learning is a promising tool to reconstruct time-series phenomena, such as variability of active galactic nuclei (AGN), from sparsely-sampled data. Here we use three Contin…