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gyacomo/matlab/plot/spectrum_1D.m
5e48668823b5shear_version

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spectrum_1D.m
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function [ FIGURE ] = spectrum_1D( data, options )
options.PLAN = 'kxky';
options.COMP = 'avg';
options.INTERP = 0;
options.POLARPLOT = 0;
options.AXISEQUAL = 1;
toplot = process_field(data,options);
t = data.Ts3D; frames = toplot.FRAMES;
colors = jet(numel(frames));
switch options.NAME
case '\Gamma_x'
FIGURE.fig = figure; FIGURE.FIGNAME = ['transp_spectrum_',data.PARAMS];
yname = '$\sum_{k_y}|\Gamma_k|$'; fieldname = 'transport';
case '\phi'
FIGURE.fig = figure; FIGURE.FIGNAME = ['phi_spectrum_',data.PARAMS];
yname = '$\sum_{k_y}|\phi|$'; fieldname = 'ES pot.';
case 'n_i'
FIGURE.fig = figure; FIGURE.FIGNAME = ['ni_spectrum_',data.PARAMS];
yname = '$\sum_{k_y}|n_i|$'; fieldname = 'ion dens.';
case 'n_e'
FIGURE.fig = figure; FIGURE.FIGNAME = ['ne_spectrum_',data.PARAMS];
yname = '$\sum_{k_y}|n_e|$'; fieldname = 'elec. dens.';
end
PLOT2D = 0;
switch options.COMPXY
case 'avg'
compx = @(x) mean(x,1);
compy = @(x) mean(x,2);
case 'sum'
compx = @(x) sum(x,1);
compy = @(x) sum(x,2);
case 'max'
compx = @(x) max(x,1);
compy = @(x) max(x,2);
otherwise
compx = @(x) x(:,:);
compy = @(x) x(:,:);
PLOT2D= 1;
end
if ~PLOT2D
set(gcf, 'Position', [20 50 5000 2000])
subplot(1,2,1)
k = data.kx;
xname = '$k_x$';
nmax = ceil(data.Nkx*2/3);
shiftx = @(x) x;%(1:nmax);
shifty = @(x) x;%(1:nmax);
switch options.COMPT
case 'avg'
it0 = toplot.FRAMES(1); it1 = toplot.FRAMES(end);
Gk = compy(abs(mean(toplot.FIELD(:,:,it0:it1),3)));
Gk = squeeze(Gk);
if options.NORM
Gk = Gk./max(max(abs(Gk)));
end
X = shiftx(k);
if options.OK
Y = shifty(Gk)./X;
else
Y = shifty(Gk);
end
plot(X,Y,'DisplayName','t-averaged')
otherwise
for it = 1:numel(toplot.FRAMES)
Gk = compy(abs(toplot.FIELD(:,:,toplot.FRAMES(it))));
Gk = squeeze(Gk);
if options.NORM
Gk = Gk./max(max(abs(Gk)));
end
X = shiftx(k);
if options.OK
Y = shifty(Gk)./X;
else
Y = shifty(Gk);
end
plot(X,Y,'DisplayName',['$t=',num2str(t(frames(it))),'$'],...
'Color',colors(it,:)); hold on;
end
end
grid on
title(['HeLaZ $k_x$ ',fieldname,' spectrum']); legend('show','Location','eastoutside')
xlabel(xname); ylabel(yname)
subplot(1,2,2)
k = data.ky;
xname = '$k_y$';
nmax = floor(data.Nky/2*2/3);
switch options.COMPT
case 'avg'
it0 = toplot.FRAMES(1); it1 = toplot.FRAMES(end);
Gk = compx(abs(mean(toplot.FIELD(:,:,it0:it1),3)))';
Gk = squeeze(Gk);
if options.NORM
Gk = Gk./max(max(abs(Gk)));
end
X = k(k>0); X = X(1:end-1);
Yp= Gk(k>0);
Ym= Gk(k<0);
Y = Yp(1:end-1) + Ym(end:-1:1);
Y = Y(end:-1:1);
plot(X,Y,'DisplayName','t-averaged')
otherwise
for it = 1:numel(toplot.FRAMES)
Gk = compx(abs(toplot.FIELD(:,:,toplot.FRAMES(it))));
Gk = squeeze(Gk);
if options.NORM
Gk = Gk./max(max(abs(Gk)));
end
X = k(k>0); X = X(1:end-1);
Yp= Gk(k>0);
Ym= Gk(k<0);
Y = Yp(1:end-1) + Ym(end:-1:1);
Y = Y(end:-1:1);
plot(X,Y,'DisplayName',['$t=',num2str(t(frames(it))),'$'],...
'Color',colors(it,:)); hold on;
end
end
grid on
% title('HeLaZ $k_y$ transport spectrum');
legend('show','Location','eastoutside');
xlabel(xname); ylabel(yname)
else
it0 = toplot.FRAMES(1); it1 = toplot.FRAMES(end);
Gk = mean(abs(toplot.FIELD(:,:,it0:it1)),3);
Gk = squeeze(Gk);
if options.NORM
Gk = Gk./max(max(abs(Gk)));
end
pclr = pcolor(toplot.X,toplot.Y,Gk);
set(pclr, 'edgecolor','none');
end
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