Using Data Imputation for Signal Separation in High-contrast Imaging

@article{Rn2020UsingDI,
  title={Using Data Imputation for Signal Separation in High-contrast Imaging},
  author={Bin R{\'e}n and Laurent Pueyo and Christine H. Chen and {\'E}lodie Choquet and John H. Debes and Gaspard Duch{\^e}ne and François M{\'e}nard and Marshall D. Perrin},
  journal={The Astrophysical Journal},
  year={2020}
}
To characterize circumstellar systems in high contrast imaging, the fundamental step is to construct a best point spread function (PSF) template for the non-circumstellar signals (i.e., star light and speckles) and separate it from the observation. With existing PSF construction methods, the circumstellar signals (e.g., planets, circumstellar disks) are unavoidably altered by over-fitting and/or self-subtraction, making forward modeling a necessity to recover these signals. We present a forward… 

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