Exoplanet imaging data challenge, phase II: characterization of exoplanet signals in high-contrast images

exoplanet; detection; characterization; high-constrast imaging; coronography; data challenge; post-processing techniques; EIDC; benchmark; planetary companion

Abstract :

[en] Today, there exists a wide variety of algorithms dedicated to high-contrast imaging, especially for the detection and characterisation of exoplanet signals. These algorithms are tailored to address the very high contrast between the exoplanet signal(s), which can be more than two orders of magnitude fainter than the bright starlight residuals in coronagraphic images. The starlight residuals are inhomogeneously distributed and follow various timescales that depend on the observing conditions and on the target star brightness. Disentangling the exoplanet signals within the starlight residuals is therefore challenging, and new post-processing algorithms are striving to achieve more accurate astrophysical results. The Exoplanet Imaging Data Challenge is a community-wide effort to develop, compare and evaluate algorithms using a set of benchmark high-contrast imaging datasets. After a first phase ran in 2020 and focused on the detection capabilities of existing algorithms, the focus of this ongoing second phase is to compare the characterisation capabilities of state-of-the-art techniques. The characterisation of planetary companions is two-fold: the astrometry (estimated position with respect to the host star) and spectrophotometry (estimated contrast with respect to the host star, as a function of wavelength). The goal of this second phase is to offer a platform for the community to benchmark techniques in a fair, homogeneous and robust way, and to foster collaborations.

Research center :

STAR - Space sciences, Technologies and Astrophysics Research - ULiège
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège

Disciplines :

Space science, astronomy & astrophysics

Author, co-author :

Cantalloube, Faustine ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Planetary & Stellar systems Imaging Laboratory

Christiaens, Valentin ; Université de Liège - ULiège > Unités de recherche interfacultaires > Space sciences, Technologies and Astrophysics Research (STAR)

Cantero Mitjans, Carles ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science

Nasedkin, Evert

Cioppa, Anthony ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science

Absil, Olivier ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO)

Bonse, Markus J.

Delorme, Philippe

Gomez Fernandez Blanco, Carlos ; Université de Liège - ULiège > Fundamental and Applied Research for Animals and Health (FARAH)

Juillard, Sandrine ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Planetary & Stellar systems Imaging Laboratory

More authors (4 more)

Language :

English

Title :

Exoplanet imaging data challenge, phase II: characterization of exoplanet signals in high-contrast images

Publication date :

30 August 2022

Event name :

SPIE Astronomical Telescopes + Instrumentation,

Event organizer :

SPIE

Event place :

Montréal, Canada

Event date :

du 17 juillet 2022 au 23 juillet 2022

Audience :

International

Main work title :

Adaptive Optics Systems VIII, volume 12185

Publisher :

SPIE

Pages :

8-24

Peer reviewed :

Peer reviewed

Funders :

ERC - European Research Council [BE]
FWB - Fédération Wallonie-Bruxelles [BE]

Funding number :

ERC 819155; ARC Neexi

Available on ORBi :

since 24 October 2022

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