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dc.contributor.authorHirsch, Michaelen_US
dc.contributor.authorSemeter, Joshuaen_US
dc.contributor.authorZettergren, Matthewen_US
dc.contributor.authorDahlgren, Hannaen_US
dc.contributor.authorGoenka, Chhavien_US
dc.contributor.authorAkbari, Hassanalien_US
dc.date.accessioned2018-06-19T15:45:22Z
dc.date.available2018-06-19T15:45:22Z
dc.date.issued2016-05-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000374968500023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationMichael Hirsch, Joshua Semeter, Matthew Zettergren, Hanna Dahlgren, Chhavi Goenka, Hassanali Akbari. 2016. "Reconstruction of Fine-Scale Auroral Dynamics." IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 54, issue 5, pp. 2780 - 2791 (12).
dc.identifier.issn0196-2892
dc.identifier.issn1558-0644
dc.identifier.urihttps://hdl.handle.net/2144/29421
dc.description.abstractWe present a feasibility study for a high frame rate, short baseline auroral tomographic imaging system useful for estimating parametric variations in the precipitating electron number flux spectrum of dynamic auroral events. Of particular interest are auroral substorms, characterized by spatial variations of order 100 m and temporal variations of order 10 ms. These scales are thought to be produced by dispersive Alfvén waves in the near-Earth magnetosphere. The auroral tomography system characterized in this paper reconstructs the auroral volume emission rate to estimate the characteristic energy and location in the direction perpendicular to the geomagnetic field of peak electron precipitation flux using a distributed network of precisely synchronized ground-based cameras. As the observing baseline decreases, the tomographic inverse problem becomes highly ill-conditioned; as the sampling rate increases, the signal-to-noise ratio degrades and synchronization requirements become increasingly critical. Our approach to these challenges uses a physics-based auroral model to regularize the poorlyobserved vertical dimension. Specifically, the vertical dimension is expanded in a low-dimensional basis consisting of eigenprofiles computed over the range of expected energies in the precipitating electron flux, while the horizontal dimension retains a standard orthogonal pixel basis. Simulation results show typical characteristic energy estimation error less than 30% for a 3 km baseline achievable within the confines of the Poker Flat Research Range, using GPS-synchronized Electron Multiplying CCD cameras with broad-band BG3 optical filters that pass prompt auroral emissions.en_US
dc.description.sponsorshipThis work was supported by the National Science Foundation Atmosphere and Geospace Science Directorate under Grant 1216530 and Grant 1237376. (1216530 - National Science Foundation Atmosphere and Geospace Science Directorate; 1237376 - National Science Foundation Atmosphere and Geospace Science Directorate)en_US
dc.format.extentp. 2780 - 2791 (12)en_US
dc.languageEnglish
dc.publisherIEEE-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
dc.subjectTechnologyen_US
dc.subjectEngineeringen_US
dc.subjectAuroraen_US
dc.subjectScience & technologyen_US
dc.subjectPhysical sciencesen_US
dc.subjectGeochemistry & geophysicsen_US
dc.subjectEngineering, electrical & electronicen_US
dc.subjectRemote sensingen_US
dc.subjectImaging science & photographic technologyen_US
dc.subjectIonosphereen_US
dc.subjectOptical tomographyen_US
dc.subjectRemote sensingen_US
dc.subjectBound-constrained optimizationen_US
dc.subjectParallel electric fieldsen_US
dc.subjectAcceleration regionen_US
dc.subjectAligned burstsen_US
dc.subjectTomographyen_US
dc.subjectTransporten_US
dc.subjectThicknessesen_US
dc.subjectAlgorithmen_US
dc.subjectGeophysicsen_US
dc.subjectElectrical and electronic engineeringen_US
dc.subjectGeomatic engineeringen_US
dc.subjectGeological & geomatics engineeringen_US
dc.subjectArcsen_US
dc.titleReconstruction of fine-scale auroral dynamicsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TGRS.2015.2505686
pubs.elements-sourceweb-of-scienceen_US
pubs.notesEmbargo: No embargoen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Engineeringen_US
pubs.organisational-groupBoston University, College of Engineering, Department of Electrical & Computer Engineeringen_US
pubs.publication-statusPublisheden_US
dc.identifier.orcid0000-0002-1637-6526 (Hirsch, Michael)
dc.identifier.orcid0000-0001-7442-6205 (Semeter, Joshua)


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