1 / 14

STORM WP7 Software library for nonlinear analysis of fluctuations in space plasma time series

STORM WP7 Software library for nonlinear analysis of fluctuations in space plasma time series. P. Kovács, A. Koppán C . Munteanu , M. Echim , STORM Annual Meeting, Graz, 25-26 November, 2013. Outline. STORM related Matlab functions ASCII data import tool

latoya
Download Presentation

STORM WP7 Software library for nonlinear analysis of fluctuations in space plasma time series

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. STORM WP7Software libraryfornonlinearanalysis of fluctuationsinspaceplasmatime series P. Kovács, A. Koppán C. Munteanu, M. Echim, STORM Annual Meeting, Graz, 25-26 November, 2013

  2. Outline • STORM related Matlab functions • ASCII data import tool • CDF file import tool • Database of thedeliverables (??) • STORM Annual Meeting, Graz, 25-26 November, 2013

  3. STORMMatlab functions PSD Psd_Pwelch.m Psd_Plot.m Kurt_vs_Time.m Pdf_plot.m STR_Func.m Pmodel_Fit.m STR_plot.m PowerLFit.m FigParam_Save.m PLFit_vs_Time.m LogMean.m Increment.m GapFill.m • function [Pxx, f] = Psd_Pwelch(indata, segments, overlap, fs , varargin) • % Psd_Pwelch ; Computes the Power Spectral Density (PSD) function of • % vector "indata" using the Welch algorithm (see Welch, 1967 or Matlab • % Documentation). By default, the window segments are multiplied by Hamming • % window of length given as floor(length(indata)/segments). However, • % Gaussian, Hann and rectangular alternative windows can also be selected. • % • % [Pxx, f] = Psd_Pwelch(indata, segments, overlap, fs) • % • % INPUTS: • % indata = input time series • % segments = number of overlapping segments in which separate PSDs are • % computed (Final PSD is given by the mean of the segment PSDs) • % overlap = overlap of the segments in per cent ([0 100]) • % fs = sapling frequency in Hz • % varargin = Type of window with which the segments of input time-series • % are multiplied before the PSD computation. Its value can be 'rectwin' • % for rectangular, 'gausswin' for Gaussian or 'hann' foHann windows. If • % varargin is not given, the Hamming window is used, by default. • % • % OUTPUTS: • % [Pxx f] = Frequency, f, and the corresponding PSD, Pxx, of the input • % time-series. (The first element of the spectrum corresponding to f = • % 0 Hz is discarded) • % • % NOTE: • % The conventional PSD function can be obtained by setting segments = 1 • % and overlap = 0 . • % • % REQUIRED MATLAB TOOLBOX: • % - Signal Processing Toolbox • window = floor(length(indata)/segments); • L_overlap = floor(window*overlap/100); • if(numel(varargin)) • switch(varargin{1}) • case'rectwin' • window = rectwin(window); • case'gausswin' • window = gausswin(window); • case'hann' • window = hann(window); • end • end • [Pxx, f] = pwelch(indata(:,2), window, L_overlap, [], fs); • Pxx = Pxx(2:length(Pxx)); • f = f(2:length(f)); PDF STR General

  4. ASCII Data Import Possible Input timeformats: yy mm dd HH MM SS yyDoY HH MM SS yyyy-mm-ddTHH:MM:SS

  5. ASCII Data Import

  6. ASCII Data Import data14354×5 double filename ‚u01010minsh.dat’ header5×4 char unit 4×2 char

  7. CDF File Import TIME_RESOLUTION ??? Time_resolution ??? time_resolution

  8. CDF File Import

  9. CDF File Import – Gaphandling FillMethods LinearInterpolation Fillwithvalue Resample STORM Annual Meeting, Graz, 25-26 November, 2013

  10. Unevendatasampling STORM Annual Meeting, Graz, 25-26 November, 2013

  11. Database of deliverables STORM Annual Meeting, Graz, 25-26 November, 2013

  12. Content of thedatabaseFigures + Figuremetadata

  13. Data upload

  14. Browsinginthedatabase SearchOptions: Mission Instrument Data Type Period

More Related