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    An Integrated Nonlinear Analysis (INA) Software for Space Plasma Turbulence

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    Authors
    Munteanu, C.
    Kovács, P.
    Echim, M.
    Discipline
    Physical sciences
    Subject
    original software analysis tool
    space plasma turbulence and intermittency
    spectral analysis and wavelets
    multiscale study of fluctuations and multifractals
    Earth's magnetosheath region
    cluster spacecraft
    Audience
    Scientific
    Date
    2023
    Metadata
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    Description
    We built an integrated nonlinear analysis software (INA)-designed to study space plasma turbulence and intermittency. The MATLAB programming environment was used for the algorithmic development and implementation of methods for spectral analysis, multiscale fluctuations and multifractal analysis. The performance of INA is demonstrated using magnetic field measurements during an inbound pass through the Earth's magnetosheath region of the Cluster 3 spacecraft. We show how specific features of the power spectral density can be mapped to localized time-frequency regions in the spectrogram representation, and identify multiple intermittent events using the wavelet-based local intermittency measure. Multiscale probability density functions showed clear departures from Gaussianity, signifying the presence of intermittency. Structure functions and rank-ordered multifractal analysis revealed the multifractal nature of the analyzed signal. INA is freely distributed as a standalone executable file to any interested user, and provides an integrated, interactive, and user-friendly environment in which one can import a data set, customize key analysis parameters, apply multiple methods on the same signal and then export high-quality, publication-ready figures. These are only a few of the many distinguishing features of INA.
    Citation
    Munteanu, C.; Kovács, P.; Echim, M. (2023). An Integrated Nonlinear Analysis (INA) Software for Space Plasma Turbulence. , Earth and Space Science, Vol. 10, Issue 3, e2022EA002692, DOI: 10.1029/2022EA002692.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/10770
    doi: http://dx.doi.org/10.1029/2022EA002692
    scopus:
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
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