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

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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 :
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.
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 ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Ruffio, J.-B.
Samland, M.
Stone, J.
Van Droogenbroeck, Marc  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
More authors (16 more) Less
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
European Projects :
H2020 - 819155 - EPIC
Name of the research project :
EPIC
Funders :
CE - Commission Européenne [BE]
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