Statistical tests with multi-wavelength Kernel-phase analysis for the detection and characterization of planetary companions

@inproceedings{Ndiaye2022StatisticalTW,
  title={Statistical tests with multi-wavelength Kernel-phase analysis for the detection and characterization of planetary companions},
  author={Mamadou N'diaye and David L. Mary and Frantz Martinache and Roxanne Ligi and Nick Cvetojevic and Peter Chingaipe and Romain Laugier},
  booktitle={Astronomical Telescopes + Instrumentation},
  year={2022}
}
Kernel phase is a method to interpret stellar point source images by considering their formation as the analytical result of an interferometric process. Using Fourier formalism, this method allows for observing planetary companions around nearby stars at separations down to half a telescope resolution element, typically 20 mas for a 8m class telescope in H band. The Kernel-phase analysis has so far been mainly focused on working with a single monochromatic light image, recently providing… 

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