Signal Reconstruction

Astronomical signals are never perfect! Thus, we may need to restore/reconstruct astronomical signals with physical motivations to reach our scientific goals. For example, photometric surveys have provided incredible amounts of astronomical information in the form of images. However, astronomical images often contain artifacts that can critically hinder scientific analysis by misrepresenting intensities or contaminating catalogs as artificial objects. These affected pixels must be masked and dealt with in any data reduction pipeline. We have developed algorithms for the accurate reconstruction of partial astronomical signals.

Papers: arxiv.org/abs/2004.06979, arxiv.org/abs/2011.10840, arxiv.org/abs/2112.01444