Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection

Cantalloube, F.; Gomez Gonzalez, Carlos; Absil, Olivier; Cantero Mitjans, Carles; Bacher, R.; Bonse, M. J.; Bottom, M.; Dahlqvist, Carl-Henrik; Desgrange, C.; Flasseur, O.; Fuhrmann, T.; Henning, Th.; Jensen-Clem, R.; Kenworthy, M.; Mawet, D.; Mesa, D.; Meshkat, T.; Mouillet, D.; Müller, A.; Nasedkin, E.; Pairet, B.; Pierard, Sébastien; Ruffio, J.-B.; Samland, M.; Stone, J.; Van Droogenbroeck, Marc

doi:10.1117/12.2574803

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Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection

Cantalloube, F.; Gomez Gonzalez, Carlos; Absil, Olivier et al.

2020 • In Schreiber, L.; Schmidt, D.; Vernet, E. (Eds.) Adaptive Optics Systems VII

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https://hdl.handle.net/2268/254808

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10.1117/12.2574803

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Keywords :

Exoplanet detection; High-contrast imaging; Adaptive optics; Coronagraphy; Post-processing techniques; Data challenge

Abstract :

[en] The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct detection. For this purpose, it gathers on a dedicated repository (Zenodo), data from several high-contrast ground-based instruments worldwide in which we injected synthetic planetary signals. The data challenge is hosted on the CodaLab competition platform, where participants can upload their results. The specifications of the data challenge are published on our website https://exoplanet-imaging-challenge.github.io/ . The first phase, launched on the 1st of September 2019 and closed on the 1st of October 2020, consisted in detecting point sources in two types of common data-set in the field of high-contrast imaging: data taken in pupil-tracking mode at one wavelength (subchallenge 1, also referred to as ADI) and multispectral data taken in pupil-tracking mode (subchallenge 2, also referred to as ADI+mSDI). In this paper, we describe the approach, organisational lessons-learnt and current limitations of the data challenge, as well as preliminary results of the participants’ submissions for this first phase. In the future, we plan to provide permanent access to the standard library of data sets and metrics, in order to guide the validation and support the publications of innovative image processing algorithms dedicated to high-contrast imaging of planetary systems.

Research Center/Unit :

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

Disciplines :

Space science, astronomy & astrophysics

Author, co-author :

Cantalloube, F.

Gomez Gonzalez, Carlos

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

Cantero Mitjans, Carles ; Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Big Data

Bacher, R.

Bonse, M. J.

Bottom, M.

Dahlqvist, Carl-Henrik ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > PSILab

Desgrange, C.

Flasseur, O.

More authors (16 more)

Language :

English

Title :

Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection

Publication date :

13 December 2020

Event name :

SPIE Astronomical Telescopes + Instrumentation 2020

Event organizer :

SPIE

Event date :

14 - 18 Dec 2020

Audience :

International

Main work title :

Adaptive Optics Systems VII

Author, co-author :

Schreiber, L.

Schmidt, D.

Vernet, E.

Publisher :

SPIE, Bellingham, WA, United States

Collection name :

11448

Pages :

1-36

Additional URL :

https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11448/2574803/Exoplanet-imaging-data-challenge--benchmarking-the-various-image-processing/10.1117/12.2574803.short

European Projects :

H2020 - 819155 - EPIC

Name of the research project :

EPIC

Funders :

EC - European Commission

Available on ORBi :

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