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DanceCam: atmospheric turbulence mitigation in wide-field astronomical images with short-exposure video streams

hal.structure.identifierUniversity of Victoria [Canada] [UVIC]
dc.contributor.authorBIALEK, Spencer
hal.structure.identifierInstitut Polytechnique de Paris [IP Paris]
hal.structure.identifierDépartement Réseaux et Services Multimédia Mobiles [TSP - RS2M]
hal.structure.identifierNetwork Systems and Services [NeSS-SAMOVAR]
hal.structure.identifierOrange Innovation
dc.contributor.authorBERTIN, Emmanuel
hal.structure.identifierNRC Herzberg Astronomy and Astrophysics
dc.contributor.authorFABBRO, Sébastien
hal.structure.identifierCentro de Astrobiologia [Madrid] [CAB]
hal.structure.identifierM2A 2020
dc.contributor.authorBOUY, Hervé
hal.structure.identifierJoseph Louis LAGRANGE [LAGRANGE]
hal.structure.identifierUniversité Côte d'Azur [UniCA]
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
hal.structure.identifierObservatoire de la Côte d'Azur
dc.contributor.authorRIVET, Jean-Pierre
hal.structure.identifierUniversité Côte d'Azur [UniCA]
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
hal.structure.identifierObservatoire de la Côte d'Azur
hal.structure.identifierJoseph Louis LAGRANGE [LAGRANGE]
dc.contributor.authorLAI, Olivier
hal.structure.identifierAstrophysique Interprétation Modélisation [AIM (UMR_7158 / UMR_E_9005 / UM_112)]
dc.contributor.authorCUILLANDRE, Jean-Charles
dc.date.issued2024-04-19
dc.identifier.issn0035-8711
dc.description.abstractEnABSTRACT We introduce a novel technique to mitigate the adverse effects of atmospheric turbulence on astronomical imaging. Utilizing a video-to-image neural network trained on simulated data, our method processes a sliding sequence of short-exposure (∼0.2 s) stellar field images to reconstruct an image devoid of both turbulence and noise. We demonstrate the method with simulated and observed stellar fields, and show that the brief exposure sequence allows the network to accurately associate speckles to their originating stars and effectively disentangle light from adjacent sources across a range of seeing conditions, all while preserving flux to a lower signal-to-noise ratio than an average stack. This approach results in a marked improvement in angular resolution without compromising the astrometric stability of the final image.
dc.language.isoen
dc.publisherOxford University Press (OUP): Policy P - Oxford Open Option A
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enMethods
dc.subject.enData analysis
dc.subject.enObservational
dc.subject.enImage processing
dc.subject.enSoftware
dc.subject.enSimulations
dc.subject.enTurbulence
dc.subject.enAtmospheric effects
dc.title.enDanceCam: atmospheric turbulence mitigation in wide-field astronomical images with short-exposure video streams
dc.typeArticle de revue
dc.identifier.doi10.1093/mnras/stae1018
dc.subject.halPhysique [physics]/Astrophysique [astro-ph]
dc.identifier.arxiv2405.05250
bordeaux.journalMonthly Notices of the Royal Astronomical Society
bordeaux.page403-421
bordeaux.volume531
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierhal-04770031
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04770031v1
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