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dc.contributor.authorGallana, Lucaen_US
dc.contributor.authorFraternale, Federicoen_US
dc.contributor.authorIovieno, Micheleen_US
dc.contributor.authorFosson, Sophie M.en_US
dc.contributor.authorMagli, Enricoen_US
dc.contributor.authorOpher, Meraven_US
dc.contributor.authorRichardson, John D.en_US
dc.contributor.authorTordella, Danielaen_US
dc.date.accessioned2018-12-06T20:37:53Z
dc.date.available2018-12-06T20:37:53Z
dc.date.issued2016-05-01
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000380025500003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e74115fe3da270499c3d65c9b17d654
dc.identifier.citationLuca Gallana, Federico Fraternale, Michele Iovieno, Sophie M Fosson, Enrico Magli, Merav Opher, John D Richardson, Daniela Tordella. 2016. "Voyager 2 solar plasma and magnetic field spectral analysis for intermediate data sparsity." Journal of Geophysical Research: Space Physics, Volume 121, Issue 5, pp. 3905 - 3919 (15). https://doi.org/10.1002/2015JA021830
dc.identifier.issn2169-9380
dc.identifier.issn2169-9402
dc.identifier.urihttps://hdl.handle.net/2144/32908
dc.description.abstractThe Voyager probes are the furthest, still active, spacecraft ever launched from Earth. During their 38 year trip, they have collected data regarding solar wind properties (such as the plasma velocity and magnetic field intensity). Unfortunately, a complete time evolution of the measured physical quantities is not available. The time series contains many gaps which increase in frequency and duration at larger distances. The aim of this work is to perform a spectral and statistical analysis of the solar wind plasma velocity and magnetic field using Voyager 2 data measured in 1979, when the gap density is between the 30% and 50%. For these gap densities, we show the spectra of gapped signals inherit the characteristics of the data gaps. In particular, the algebraic decay of the intermediate frequency range is underestimated and discrete peaks result not from the underlaying data but from the gap sequence. This analysis is achieved using five different data treatment techniques coming from the multidisciplinary context: averages on linearly interpolated subsets, correlation without data interpolation, correlation of linearly interpolated data, maximum likelihood data reconstruction, and compressed sensing spectral estimation. With five frequency decades, the spectra we obtained have the largest frequency range ever computed at five astronomical units from the Sun; spectral exponents have been determined for all the components of the velocity and magnetic field fluctuations. Void analysis is also useful in recovering other spectral properties such as micro and integral scales.en_US
dc.description.sponsorshipWe would like to thank the two anonymous referees for providing us with constructive comments and suggestions. This collaboration between the Politecnico di Torino and MIT was sponsored by the Progretto MITOR with support by the Fondazione Compagnia Di San Paolo. J.D.R. was supported by NASA under the Voyager project. Supporting information on data processing routines are included in the SI file; further information can be obtained from D.T. (email: daniela.tordella@polito.it). SF and EM acknowledge support from European Community's Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement 279848. (Progretto MITOR; Fondazione Compagnia Di San Paolo; NASA under the Voyager project; 279848 - European Community/ERC)en_US
dc.format.extentp. 3905 - 3919en_US
dc.languageEnglish
dc.publisherAMER GEOPHYSICAL UNIONen_US
dc.relation.ispartofJournal of Geophysical Research: Space Physics
dc.rights©2016. American Geophysical Union. All Rights Reserved.en_US
dc.subjectScience & technologyen_US
dc.subjectPhysical sciencesen_US
dc.subjectAstronomy & astrophysicsen_US
dc.subjectSolar winden_US
dc.subjectData sparsityen_US
dc.subjectMissing data spectral recoveryen_US
dc.subjectSpectral analysisen_US
dc.subjectVoyager 2en_US
dc.titleVoyager 2 solar plasma and magnetic field spectral analysis for intermediate data sparsityen_US
dc.typeArticleen_US
dc.description.versionPublished versionen_US
dc.identifier.doi10.1002/2015JA021830
pubs.elements-sourceweb-of-scienceen_US
pubs.notesEmbargo: No embargoen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Astronomyen_US
pubs.publication-statusPublisheden_US


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