Optimal multi-epoch combination of direct imaging observations for improved exoplanet detection

Autor: Jules Dallant, Maud Langlois, Éric M. Thiébaut, Olivier Flasseur
Přispěvatelé: Centre de Recherche Astrophysique de Lyon (CRAL), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'études spatiales et d'instrumentation en astrophysique = Laboratory of Space Studies and Instrumentation in Astrophysics (LESIA), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), This work was supported by the Programme National de Plan´etologie (PNP) and the Action Sp´ecifique Haute R´esolution Angulaire (ASHRA) of CNRS/INSU co-funded by CNES.
Rok vydání: 2022
Předmět:
Zdroj: Adaptive Optics Systems VIII
Adaptive Optics Systems VIII, Jul 2022, Montréal, Canada. pp.114, ⟨10.1117/12.2630053⟩
Popis: International audience; 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.
Databáze: OpenAIRE