Dear Sanjeev,

I looked through your ubs_dots.m file, and it looks fine. I never had any problems with it, and I run it on two different versions of matlab (2014a, 2012a (windows)). I copied your script and it works fine on both versions as well. I tried making some common mistakes that you could have made, but none gave me the errors you got. What version of matlab are you running? Try one of those I mentioned, since they definitely work. I'm sure one of your coworkers will have those versions, and for this stage of unfolding you only need your unfolded file and the ubs_dots.m, WIEN2k is no longer needed.

As for the klist_band file generator. I'm working on that intensively and I believe it should be ready in a week or two. The stage it is at now is definitely not user friendly but i'm working on that too. I will let you know when its finished.

Best regards

Maciej Polak


On 05/19/2016 06:11 AM, Dr. Sanjeev Kumar Srivastava wrote:
function ubs_dots
% Plot undolded band structure
%
% modified 21 Jan 2016

%% Init. parameters
KPATH = [1/2 0 0; ...
          0 0 0; ...
          1/2 1/2 0]; % k-point path
FOLDS = [1 2 3]; % multiplicity in the corresponding directions used when 
constructing the super-cell
KLABEL = {'L'; 'G'; 'X'};
finpt = '6-atom2D.f2b'; % input file name
Ef = 0.372141; % Fermi energy (Ry)
ERANGE = [Ef-0.1 Ef+0.15]; % energy range for plot (Ry)
ry2ev = 13.605698066; % Ry -> eV conversion factor
pwr = 1/1; % power for result plotting
          % 1 - linear scale, 1/2 - sqrt, etc.
          % 0 - folded bands (needs wth = 0)
msz = 10; % marker size for plot
lwdth = 0.5; % plot line width
PLTSZ = [1 1 600/1.5 300/1.5]; % plot size
wth = 0.05; % threshold weight
clrmp = jet;    % flipud(gray)
                 % flipud(pink)
                 % flipud(hot)
                 % flipud(autumn)
                 % cool
                 % flipud(bone)
                 % flipud(jet)
                 % jet
G = [0.038904 -0.012968 -0.012968;
      0.000000  0.036679 -0.018340;
      0.000000  0.000000  0.031765]; % Reciprocal latt. vect. from *.outputkgen


%% INITIALIZATION
[KEIG, EIG, W] = readinput(finpt); % read input data from file
% EIG - energy eigenvalues
% KEIG - k-list for eigenvalues
% W - list of characters

%% MAIN
L = [];
ENE = [];
WGHT = [];
for i=1 : 3
     G(i,:)=G(i,:)*FOLDS(i); % rescale reciprocal lattice vectors
end                         % from supercell to primitive cell
dl = 0; % cumulative length of the path
KPATH = coordTransform(KPATH,G);
KEIG = coordTransform(KEIG,G);
XTICKS = [0];
for ikp = 1 : size(KPATH,1)-1
     B = KPATH(ikp,:) - KPATH(ikp+1,:);
     dk = sqrt(dot(B,B));
     XTICKS = [XTICKS; XTICKS(ikp)+dk];
     for j = 1 : length(EIG)
         if EIG(j) > ERANGE(1) && EIG(j) < ERANGE(2) && W(j) >= wth
             dist = dp2l( KEIG(j,:) , KPATH(ikp,:) , KPATH(ikp+1,:) );
             if dist < eps % k-point is on the path
                 A = KPATH(ikp,:) - KEIG(j,:);
                 x = dot(A,B)/dk;
                 if x > 0  &&  x-dk < eps % k-point is within the path range
                     L = [L; x+dl]; % append k-point coordinate along the path
                     ENE = [ENE; EIG(j)]; % append energy list
                     WGHT = [WGHT; W(j)];
                 end
             end
         end
     end
     dl = dl + dk;
end

%% Plot results
hFig = figure(1);

% Fig 1(a)
subplot(1,2,1);
set(hFig, 'Position', PLTSZ, 'PaperPositionMode','auto')
map = colormap(clrmp);
WGHTRS = rescale(WGHT,pwr);
scatter(L,(ENE-Ef)*ry2ev, WGHTRS*msz, WGHTRS,'LineWidth',lwdth);
hold on;
axis([0 max(L) min((ENE-Ef)*ry2ev) max((ENE-Ef)*ry2ev)])
yticks = get(gca,'ytick');
set(gca,'YTick',yticks);
for i = 1 : length(yticks)
     newYTick{i} = sprintf('%1.1f',yticks(i));
end
set(gca,'YTickLabel',newYTick);
hline = plot([0 XTICKS(end)],[0 0]); % Fermi level
set(hline,'Color','k','LineStyle','--');
set(gca,'XTick',XTICKS);
set(gca,'XTickLabel',KLABEL);
set(gca,'XGrid','on', 'GridLineStyle','-');
caxis([0 1]); % normalize intensities to 1
xlabel('Wave vector')
ylabel('Energy (eV)')
axis([0 max(L) min((ENE-Ef)*ry2ev) max((ENE-Ef)*ry2ev)])
box on
hold off

% Fig 1(b)
subplot(1,2,2);
DAT = linspace(0,1,10);
DATX = ones(size(DAT));
DATRS = rescale(DAT,pwr);
scatter(DATX,DAT, DATRS*msz, DATRS,'LineWidth',lwdth);
caxis([0 1])
ylabel('Spectral weight')

% SAVE plot as *.eps
print( [finpt '.eps'], '-depsc')

% -------------------------------------------------------------------------
function W = coordTransform(V,G)
% transform vector V(:,3) in G(3,3) coord. system -> W(:,3) in Cartesian 
coordinates
% G vector elements are in columns!
W = zeros(size(V));
G = G'; % transform G
for i = 1:length(V)
     W(i,:) = G(1,:)*V(i,1) + G(2,:)*V(i,2) + G(3,:)*V(i,3);
end;
% -------------------------------------------------------------------------
function WRESCL = rescale(W,pwr)
% rescale weights using a power functio W^pwr
WRESCL=W.^(pwr); % rescale if needed to enhance
WRESCL = WRESCL + eps; % need eps to make plot "heapy"
% -------------------------------------------------------------------------
function [KEIG, EIG, W] = readinput(filename)
% read input data
DATA = importdata(filename);
KEIG = DATA(:,1:3);
EIG = DATA(:,4);
W = DATA(:,5);
% -------------------------------------------------------------------------
function RES = dp2l(X0,X1,X2) % distance from point {X0} to line {X1}-{X2}
% seehttp://mathworld.wolfram.com/Point-LineDistance3-Dimensional.html
denom = X2 - X1;
denomabs = sqrt(dot(denom,denom));
if denomabs < eps
     display(X1); display(X2);
     error('X1 = X2');
end;
numer = cross( X0-X1 , X0-X2 );
numerabs = sqrt(dot(numer,numer));
RES = numerabs/denomabs;

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