Revealing Io's Surface using JWST-NIRISS Aperture Masking Interferometry and Neural Network Deconvolution
J.Sanchez-Bermudez, I.dePater, A.Conrad, A.Sivaramakrishnan, E. Molter, D.Thatte, R. Cooper, K. deKleer, L. Roth

TL;DR
This study utilizes JWST-NIRISS aperture masking interferometry combined with neural network deconvolution to produce high-resolution images of Io's volcanic surface, revealing active volcanoes and their characteristics for the first time in space-based infrared observations.
Contribution
The paper introduces a novel neural network-based deconvolution method for interferometric imaging, enabling detailed surface analysis of Io from space-based infrared data, a first in Solar System observations.
Findings
Identified and characterized multiple volcanoes on Io's surface.
Measured brightness and location of the brightest eruption, V1.
Validated deconvolution results with Keck II ground-based images.
Abstract
Io is one of Jupiter's largest moons and the most volcanically active body in the Solar System. Its very active surface has hot spots produced by volcanic eruptions popping up at seemingly random locations and times. Characterizing the complex surface of Io requires the highest angular resolution available. This work presents the analysis of Aperture Masking Interferometric observations (at 4.3 um) of Io taken with the Near-Infrared Imager and Slitless Spectrograph instrument on the James Webb Space Telescope. These are the first space-based infrared interferometric observations of a Solar System body ever taken. For complex extended objects like Io, the traditional visibility extraction algorithms from interferograms suffer from limitations. Here, new deconvolution methods based on Neural Networks allowed us to obtain reliable images from which a detailed analysis of the volcanically…
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Taxonomy
TopicsGeophysics and Gravity Measurements · Inertial Sensor and Navigation · Astronomical Observations and Instrumentation
