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arXiv (Cornell University)
Exoplanet Imaging Data Challenge, phase II: Comparison of algorithms in terms of characterization capabilities
October 2024 • F. Cantalloube, Valentin Christiaens, Carles Cantero Mitjans, Anthony Cioppa, E. Nasedkin, Olivier Absil, P. Delorme, Jason J. Wang, Markus J. Bonse,…
In this communication, we report on the results of the second phase of the Exoplanet Imaging Data Challenge started in 2019. This second phase focuses on the characterization of point sources (exoplanet signals) within multispectral high-contrast images from ground-based telescopes. We collected eight data sets from two high-contrast integral field spectrographs (namely Gemini-S/GPI and VLT/SPHERE-IFS) that we calibrated homogeneously, and in which we injected a handful of synthetic planetary signals (ground truth…
Exoplanet
Computer Science
Algorithm
Phase (Matter)
Computer Vision
Materials Science
Nanotechnology
Physics
Quantum Mechanics