Pushing the limits of kernel phase interferometry for protoplanet discovery

Alexander Chaushev; Stephanie Sallum; Julien Lozi; Jeffrey Chilcote; Tyler Groff; Olivier Guyon; N. Jeremy Kasdin; Barnaby Norris; Andrew Skemer

doi:10.1117/12.3020575

28 August 2024 Pushing the limits of kernel phase interferometry for protoplanet discovery

Alexander Chaushev, Stephanie Sallum, Julien Lozi, Jeffrey Chilcote, Tyler Groff, Olivier Guyon, N. Jeremy Kasdin, Barnaby Norris, Andrew Skemer

Author Affiliations +

Proceedings Volume 13095, Optical and Infrared Interferometry and Imaging IX; 1309517 (2024) https://doi.org/10.1117/12.3020575
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Abstract

Kernel phase interferometry is a data analysis technique that allows for the detection of moderate contrast asymmetries below λ/d in high-Strehl images. The technique is of particular interest within the area of planet formation, where the asymmetries around a young star can be from disk features or protoplanet candidates. Here we examine the performance achieved by a kernel phase interferometry program using the SCExAO/CHARIS integral field spectrograph on the Subaru telescope. We investigate the quality of the kernel phases as a function of the Strehl ratio of the observations. We also find that all but the highest quality observations are limited by random, as opposed to systematic errors. Finally we conduct a preliminary analysis of observations of V1247 Orionis, where we tentatively detect the presence of a previously identified companion candidate.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Alexander Chaushev, Stephanie Sallum, Julien Lozi, Jeffrey Chilcote, Tyler Groff, Olivier Guyon, N. Jeremy Kasdin, Barnaby Norris, and Andrew Skemer "Pushing the limits of kernel phase interferometry for protoplanet discovery", Proc. SPIE 13095, Optical and Infrared Interferometry and Imaging IX, 1309517 (28 August 2024); https://doi.org/10.1117/12.3020575

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