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, November, 2013

Outline STORM related Matlab functions ASCII data import tool CDF file import tool Database of the deliverables (??) STORM Annual Meeting, Graz, November, 2013

STORM Matlab functions 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' fo Hann 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 [Pxx, f] = pwelch(indata(:,2), window, L_overlap, [], fs); Pxx = Pxx(2:length(Pxx)); f = f(2:length(f)); PSD PDF STR General

ASCII Data Import Possible Input time formats: yy mm dd HH MM SS yy DoY HH MM SS yyyy-mm-ddTHH:MM:SS

ASCII Data Import

data14354×5 double filename ‚u01010minsh.dat’ header 5×4 char unit 4×2 char

CDF File Import TIME_RESOLUTION ??? Time_resolution ??? time_resolution

CDF File Import

STORM Annual Meeting, Graz, November, 2013 CDF File Import – Gap handling Fill Methods Linear Interpolation Fill with value Resample

Uneven data sampling OUTPUT Linint.Non EQDistant Original points are not distorted ResampleEQDistantOriginal points are distorted STORM Annual Meeting, Graz, November, 2013

Database of deliverables STORM Annual Meeting, Graz, November, 2013

Content of the database Figures + Figure metadata

Data upload

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