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Changed jumbled up rhoA and rhoB assignment for output, added Matlab …
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…datamining and consistency scripts
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Markus Kühbach committed Jan 4, 2018
1 parent 0588f7c commit 544b6bd
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169 changes: 169 additions & 0 deletions scripts/DRXNUC_AutoDetectSpeedReduction_01.m
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%% DRXNUC read in track csv data batch and extract in which case a reduction in migration speed was detected
clear;
clc;
digits(32);
format long;

%get folder content
dbl.prefix = 'H:/Paper/Paper11_BambachDislDensModel/bb_simulation/DRXNUC/build/mpi20/run/';
dbl.fns = dir([dbl.prefix '*.csv']); %'*.RA.12.RB.16.*.bin']);
dbl.n = length(dbl.fns);

for f=1:dbl.n
%% read DRXNUC ascii dump file
filename = [dbl.prefix dbl.fns(f).name];
delimiter = ';';
startRow = 3;
formatSpec = '%f%f%f%f%f%f%f%[^\n\r]';
fileID = fopen(filename,'r');
dataArray = textscan(fileID, formatSpec, 'Delimiter', delimiter, 'TextType', 'string', 'HeaderLines' ,startRow-1, 'ReturnOnError', false, 'EndOfLine', '\r\n');
fclose(fileID);
t = dataArray{:, 1};
x = dataArray{:, 2};
v = dataArray{:, 3};
p = dataArray{:, 4};
rhoA = dataArray{:, 5};
rhoB = dataArray{:,6};
rhoBA = dataArray{:, 7};

%at least there are data logged additional to header
nv = length(v(:,1));
if nv > 1
%get evolution GB time-speed profile by piecewise difference values
dv(1,1) = nan; %error flag
dv(2:nv,1) = diff(v(:,1)); %v_ti+1 - v_ti

%which values are negative indicating the sought after reduction of velocity?
where = find(dv(:,1) < eps); %eps numerically zero

%where is somewhere along the profile, even small dips...

%what is the absolute minimal difference?
minn = min(dv(:,1));

%if any reasonable where is given to me, otherwise add dummy
if ~isempty(where)
RES(f,1) = v(where(1),1); %the velocity at which acceleration firstly (in time) becomes negative
RES(f,2) = where(1)/nv; %when is this
else
RES(f,2) = nan;
end
%plot(t,x,'.')
%plot(t,v,'.')
%plot(t,dv,'.')
% figure
% hold on
% plot(log10(t),log10(rhoA))
% hold on
% plot(log10(t),log10(rhoB))
% hold on
% plot(log10(t),log10(rhoBA))
% legend('rA','rB','{\Delta BA}')
% ylim([17 19])
% rr = rhoB-rhoA;
% rrr = rr-rhoBA;
% rrr = rrr ./ rhoB;
% min(rrr)
%plot(t,rhoBA,'.')
%RES(f,1) = min(diff(v));
else
%no data at all, add dummies
RES(f,1) = nan; %error value
RES(f,2) = nan;
end
%how many logs in total? (at most 1401 expected...)
RES(f,3) = nv;
clearvars -except dbl f RES;
disp(['Processing ' num2str(f) '---> ' dbl.fns(f).name])
end
disp('Batch processed')

% f = 460;
% filename = [prefix fns(f).name];
% delimiter = ';';
% startRow = 3;
% formatSpec = '%f%f%f%f%f%f%f%[^\n\r]';
% fileID = fopen(filename,'r');
% dataArray = textscan(fileID, formatSpec, 'Delimiter', delimiter, 'TextType', 'string', 'HeaderLines' ,startRow-1, 'ReturnOnError', false, 'EndOfLine', '\r\n');
% fclose(fileID);
% t = dataArray{:, 1};
% %x = dataArray{:, 2};
% v = dataArray{:, 3};
% plot(t,v);
% legend(fns(f).name);

%% filter interesting cases
targ = find(RES(:,2) > 0.01 & RES(:,2) < 0.99); %those with intermediate reduction or constancy in velocity
%targ = find(RES(:,2) > 0.00 & RES(:,2) < 1.00); %almost all
scaler = 1.0;
figure('Position',[100 100 scaler*1920 scaler*1080]);
colormap('jet');
fontszcap = 26;
fontszax = 26;
fontszlg = 20;
fontnm = 'Calibri';
set(gca,'FontSize',fontszcap,'FontName',fontnm,'LineWidth',2);
set(gcf,'PaperUnits','Inches');
set(gcf,'PaperSize',[19.2 10.8]);
set(gcf,'color','w','visible','on');
xlabel({'log_{10} t (s)'},'FontSize',fontszax,'FontName',fontnm);
ylabel({'log_{10} v (m/s)'},'FontSize',fontszax,'FontName',fontnm);
hold on
%'.','MarkerSize',45,'color',[255/255 201/255 14/255]); %log(max(rho(1,1:rangelimit)))./log(10),'.','MarkerSize',20,'color',[1 0 0])
%xlim([0 15]); xt = [0:1:15]; xticks(xt);
%ylim([13 18.0]);
%yt = [13:1:18];
%yticks(yt);
pbaspect([1.92 1.08 1.08]); box on; grid on;


%get colormap
cmap = jet;
i = 1;
for T = 800:50:1200
temp = ((T-800)/(1200-800)*64)+1;
disp(temp)
if temp == 65
temp = 64;
end
T2COLOR(i,1) = T+273;
T2COLOR(i,2:4) = cmap(temp,1:3);
disp(T)
i = i+1;
end

for trg=1:length(targ(:,1))
%trg=19;
%if int32(targ(trg,1)) ~= 460
% continue;
%end
hold on
filename = [prefix fns(int32(targ(trg))).name];
%get properties from filename
fn.EPSA = str2double(extractBetween(filename,'EPSA.','.EPSB'));
fn.EPSB = str2double(extractBetween(filename,'EPSB.','.T'));
fn.T = str2double(extractBetween(filename,'T.','.RA'));
fn.rhoA = str2double(extractBetween(filename,'RA.','.RB'));
fn.rhoB = str2double(extractBetween(filename,'RA.','.RB'));

delimiter = ';';
startRow = 3;
formatSpec = '%f%f%f%f%f%f%f%[^\n\r]';
fileID = fopen(filename,'r');
dataArray = textscan(fileID, formatSpec, 'Delimiter', delimiter, 'TextType', 'string', 'HeaderLines' ,startRow-1, 'ReturnOnError', false, 'EndOfLine', '\r\n');
fclose(fileID);
t = dataArray{:, 1};
x = dataArray{:, 2};
v = dataArray{:, 3};
hold on
plot(log10(t),log10(v),'LineWidth',2,'Color',T2COLOR(find(T2COLOR(:,1)==fn.T),2:4));
%plot(x,log10(v),'LineWidth',1,'Color',T2COLOR(find(T2COLOR(:,1)==fn.T),2:4));
disp([num2str(trg) ' ---> ' num2str(targ(trg,1)) ' ---> ' fns(int32(targ(trg,1))).name])
clearvars filename delimiter startRow formatSpec fileID dataArray t v fn;
end
colorbar
legend(num2str(targ))

for trg=1:length(targ(:,1))
disp([num2str(trg) ' ---> ' num2str(targ(trg,1)) ' ---> ' fns(int32(targ(trg,1))).name])
end
112 changes: 112 additions & 0 deletions scripts/DRXNUC_CompareSglDblPrecisionNumerics_01.m
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%% DRXNUC comparing predictions from simulation with double against single precision
clear;
clc;
digits(32);
format long;

%% get folder contents
sgl.prefix = 'H:/Paper/Paper11_BambachDislDensModel/bb_simulation/DRXNUC/build/mpi01/Track/SinglePrecision/';
dbl.prefix = 'H:/Paper/Paper11_BambachDislDensModel/bb_simulation/DRXNUC/build/mpi01/Track/DoublePrecision/';
sgl.fns = dir([sgl.prefix '*.csv']);
dbl.fns = dir([dbl.prefix '*.csv']);

%% compare results case by case
sgl.n = length(sgl.fns(:,1));
dbl.n = length(dbl.fns(:,1));
if sgl.n ~= dbl.n
disp('Different number of files');
end

for f=1:sgl.n
%% read DRXNUC ascii results file from single precision simulation
filename = [sgl.prefix sgl.fns(f).name];
delimiter = ';';
startRow = 3;
formatSpec = '%f%f%f%f%f%f%f%[^\n\r]';
fileID = fopen(filename,'r');
dataArray = textscan(fileID, formatSpec, 'Delimiter', delimiter, 'TextType', 'string', 'HeaderLines' ,startRow-1, 'ReturnOnError', false, 'EndOfLine', '\r\n');
fclose(fileID);
s.t = dataArray{:, 1};
s.x = dataArray{:, 2};
s.v = dataArray{:, 3};
%at least one data log additional to header?
s.n = length(s.t(:,1));
if s.n > 1
s.p = dataArray{:, 4};
s.rhoA = dataArray{:, 5}; %%6 for rhoA and col 5 for rhoB -->UNFORTUNATELY RHOA AND RHOB IN OUTPUT JUMBLED UP... has been correct in code 2018/01/03
s.rhoB = dataArray{:,6};
s.rhoBA = dataArray{:, 7};
end
clearvars -except sgl dbl f s RES;

%% read DRXNUC ascii results file from double precision simulation
filename = [dbl.prefix dbl.fns(f).name];
delimiter = ';';
startRow = 3;
formatSpec = '%f%f%f%f%f%f%f%[^\n\r]';
fileID = fopen(filename,'r');
dataArray = textscan(fileID, formatSpec, 'Delimiter', delimiter, 'TextType', 'string', 'HeaderLines' ,startRow-1, 'ReturnOnError', false, 'EndOfLine', '\r\n');
fclose(fileID);
d.t = dataArray{:, 1};
d.x = dataArray{:, 2};
d.v = dataArray{:, 3};
%at least one data log additional to header?
d.n = length(d.t(:,1));
if d.n > 1
d.p = dataArray{:, 4};
d.rhoA = dataArray{:, 5};
d.rhoB = dataArray{:,6};
d.rhoBA = dataArray{:, 7};
end
clearvars -except sgl dbl f s d RES;

%% two files the same?


% yi = interp1(x,Y,xi) returns vector yi containing elements corresponding to the elements of
% xi and determined by interpolation within vectors x and Y. The vector x specifies the
% points at which the data Y is given. If Y is a matrix, then the interpolation
% is performed for each column of Y and yi is length(xi)-by-size(Y,2).

if s.n > 1 & d.n > 1
%% interpolation
s.xi = interp1(d.t,d.x,s.t);
s.xdff = s.x - s.xi;
RES(f).sxerr = max(abs(s.xdff));

s.vi = interp1(d.t,d.v,s.t);
s.vdff = s.v - s.vi;
RES(f).sverr = max(abs(s.vdff));

s.pi = interp1(d.t,d.p,s.t);
s.pdff = s.p - s.pi;
RES(f).perr = max(abs(s.pdff));

s.ra = interp1(d.t,d.rhoA,s.t);
s.radff = s.rhoA - s.ra;
RES(f).raerr = max(abs(s.radff));

s.rb = interp1(d.t,d.rhoB,s.t);
s.rbdff = s.rhoB - s.rb;
RES(f).rberr = max(abs(s.rbdff));

s.rba = interp1(d.t,d.rhoBA,s.t);
s.rbadff = s.rhoBA - s.rba;
RES(f).rbaerr = max(abs(s.rbadff));
% figure
% hold on
% plot(s.t,s.rhoBA,'.','MarkerSize',4)
% hold on
% plot(d.t,d.rhoBA)
end
clearvars -except sgl dbl f RES;
disp(f);
end

tmp = nan(1,sgl.n);
for f=1:sgl.n
if ~isempty(RES(f).raerr)
tmp(1,f) = RES(f).raerr;
end
end
plot(1:1:sgl.n,log10(tmp))
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