Presentation + Paper
26 August 2022 Spectral differential imaging using kernel phase with CHARIS/SCExAO: technique performance and current limitations
Alexander Chaushev, Stephanie Sallum, Julien Lozi, Frantz Martinache, Jeffrey Chilcote, Tyler Groff, Olivier Guyon, N. Jeremy Kasdin, Barnaby Norris, Andrew Skemer
Author Affiliations +
Abstract
Kernel phase interferometry (KPI) is a data processing technique that allows for the detection of assymetries arising from companions of disks in high-Strehl AO-corrected images, close to or beyond the limit of traditional approaches. We show that this technique can be applied to the CHARIS IFS (with SCExAO), by recovering a known binary HD 44927 with CHARIS’s high resolution K-band mode. Currently, KPI is limited by residual systematic errors in the kernel phases. We show that these errors can be mitigated during calibration, by taking advantage of the information available in adjacent wavelength bands. This spectral differential imaging (SDI) calibration method is a promising avenue towards achieving photon noise limited kernel phase observations.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander Chaushev, Stephanie Sallum, Julien Lozi, Frantz Martinache, Jeffrey Chilcote, Tyler Groff, Olivier Guyon, N. Jeremy Kasdin, Barnaby Norris, and Andrew Skemer "Spectral differential imaging using kernel phase with CHARIS/SCExAO: technique performance and current limitations", Proc. SPIE 12183, Optical and Infrared Interferometry and Imaging VIII, 121831L (26 August 2022); https://doi.org/10.1117/12.2629558
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KEYWORDS
Calibration

Binary data

Data modeling

Stars

Adaptive optics

K band

Telescopes

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