Publication:
Predicting conditions for the reception of one-hop signals from the Siple transmitter experiment using the Kp index

dc.contributor.coauthorLi, J. D.
dc.contributor.coauthorSpasojevic, M.
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorİnan, Umran Savaş
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T11:44:40Z
dc.date.issued2015
dc.description.abstractWave injection experiments provide an opportunity to explore and quantify aspects of nonlinear wave-particle phenomena in a controlled manner. Waves are injected into space from ground-based ELF/VLF transmitters, and the modified waves are measured by radio receivers on the ground in the conjugate hemisphere. These experiments are expensive and challenging projects to build and to operate, and the transmitted waves are not always detected in the conjugate region. Even the powerful transmitter located at Siple Station, Antarctica in 1986, estimated to radiate over 1kW, only reported a reception rate of approximate to 40%, indicating that a significant number of transmissions served no observable scientific purpose and reflecting the difficulty in determining suitable conditions for transmission and reception. Leveraging modern machine-learning classification techniques, we apply two statistical techniques, a Bayes and a support vector machine classifier, to predict the occurrence of detectable one-hop transmissions from Siple data with accuracies on the order of 80%-90%. Applying these classifiers to our 1986 Siple data set, we detect 406 receptions of Siple transmissions which we analyze to generate more robust statistics on nonlinear growth rates, 3dB/s-270dB/s, and nonlinear total amplification, 3dB-41dB.
dc.description.fulltextYES
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.issue10
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipAFRL
dc.description.versionPublisher version
dc.description.volume120
dc.identifier.doi10.1002/2015JA021547
dc.identifier.eissn2169-9402
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR00609
dc.identifier.issn2169-9380
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-84954373906
dc.identifier.urihttps://hdl.handle.net/20.500.14288/427
dc.identifier.wos366135200019
dc.keywordsSiple station
dc.keywordsMachine learning
dc.keywordsElf
dc.keywordsVlf
dc.keywordsWave-particle interactions
dc.language.isoeng
dc.publisherAmerican Geophysical Union (AGU)
dc.relation.grantnoFA9453-11-C-0011
dc.relation.ispartofJournal of Geophysical Research: Space Physics
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/673
dc.subjectAstronomy and astrophysics
dc.titlePredicting conditions for the reception of one-hop signals from the Siple transmitter experiment using the Kp index
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorİnan, Umran Savaş
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
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relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
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