Using Data Imputation for Signal Separation in High Contrast Imaging

2 Jan 2020Bin RenLaurent PueyoChristine ChenÉlodie ChoquetJohn H. DebesGaspard DuchêneFrançois MénardMarshall D. Perrin

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... (read more)

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