Poster + Paper
29 August 2022 Optimal multi-epoch combination of direct imaging observations for improved exoplanet detection
Jules Dallant, Maud Langlois, Éric Thiébaut, Olivier Flasseur
Author Affiliations +
Conference Poster
Abstract
Exoplanets detection by direct imaging remains one of the most challenging field of modern astronomy. The signal of the star can prevent the detection of orbiting companions in single datasets, but combining information from several observations helps boost the detection limits. We propose a new algorithm named PACOME, based on PACO’s approach, which optimally combines, in a maximum likelihood sense, multi-epoch datasets and improves the detection sensitivity of potential exoplanets by taking into account their orbital motions. The efficiency of the algorithm is tested on the well-known exoplanetary system 51 Eridani.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jules Dallant, Maud Langlois, Éric Thiébaut, and Olivier Flasseur "Optimal multi-epoch combination of direct imaging observations for improved exoplanet detection", Proc. SPIE 12185, Adaptive Optics Systems VIII, 1218537 (29 August 2022); https://doi.org/10.1117/12.2630053
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KEYWORDS
Signal to noise ratio

Exoplanets

Detection and tracking algorithms

Planets

Exoplanetary science

Data modeling

Error analysis

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