2005
DOI: 10.1103/physrevlett.95.061102
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Proper Orthogonal Decomposition of Solar Photospheric Motions

Abstract: The spatio-temporal dynamics of the solar photosphere is studied by performing a Proper Orthogonal Decomposition (POD) of line of sight velocity fields computed from high resolution data coming from the MDI/SOHO instrument. Using this technique, we are able to identify and characterize the different dynamical regimes acting in the system. Low frequency oscillations, with frequencies in the range 20-130 µHz, dominate the most energetic POD modes (excluding solar rotation), and are characterized by spatial patte… Show more

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Cited by 29 publications
(29 citation statements)
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“…Other kinds of masks derived from the properties of the observations themselves have been used by Vecchio et al (2005). These masks are based upon a Proper Orthogonal Decomposition (POD) of the velocity field, which is nothing less than the computation of eigenvalues and eigenvectors of that vector field.…”
Section: Spatial Filters: Spatially Resolved Solar Imagesmentioning
confidence: 99%
“…Other kinds of masks derived from the properties of the observations themselves have been used by Vecchio et al (2005). These masks are based upon a Proper Orthogonal Decomposition (POD) of the velocity field, which is nothing less than the computation of eigenvalues and eigenvectors of that vector field.…”
Section: Spatial Filters: Spatially Resolved Solar Imagesmentioning
confidence: 99%
“…This approach makes use of the proper orthogonal decomposition (POD) technique, initially developed to study coherent structures in channel flow turbulence and recently applied to various astrophysical problems (Rees et al 2000;Carbone et al 2002;Lawrence et al 2004;Vecchio et al 2005;Vecchio 2006). As the POD technique is not yet widely known, we describe it in some detail in the following.…”
Section: A2 the Proper Orthogonal Decomposition Approachmentioning
confidence: 99%
“…The KL technique is optimal for modeling or reconstructing a signal in the sense that, for a given number of modes, the projection into the subspace used for modeling contains the most kinetic energy possible on average, or, equivalently, the decay of the tail of the empirical eigenspectrum is always faster (or at most as fast) than the tail of the spectrum based on any other possible basis, Fourier spectrum included. This technique has proven to give rather satisfactory results in several different cases (Alfonsi and Primavera [74][75][76][77], Alfonsi et al [78][79][80], Carbone et al [81], Vecchio et al [82], and Zhang et al [83]). …”
Section: Overview Of Karhunen-loève Decomposition Techniquementioning
confidence: 99%