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add momentum transfer tracking and auto-correlation computation
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Stefan Carp
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Oct 14, 2011
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function [tau,g1]=generate_g1(fhist,tau, disp_model, DV, lambda, format, varargin) | ||
% | ||
% g1=generate_g1(fhist,tau, disp_model, DV, lambda, format) | ||
% | ||
% Compute simulated electric-field auto-correlation function using | ||
% simulated photon pathlengths and scattering momentum transfer | ||
% | ||
% author: Stefan Carp (carp <at> nmr.mgh.harvard.edu) | ||
% | ||
% input: | ||
% fhist: the file name of the output .mch file | ||
% tau: correlation times at which to compute g1 | ||
% (default: 1e-7 to 1e-1 seconds, log equidistant) | ||
% disp_model: displacement model ('brownian', 'random_flow', <custom>) | ||
% (default: brownian, see further explanation below) | ||
% disp_var: value of displacement variable using mm as unit of | ||
% length and s as unit of time | ||
% (default: 1e-7 mm^2/s, see further explanation below) | ||
% lambda: wavelenght of light used in nm | ||
% (default: 785) | ||
% format: the format used to save the .mch file | ||
% (default: 'float') | ||
% | ||
% output: | ||
% g1: field auto-correlation curves, one for each detector | ||
% | ||
% The displacement model indicates the formula used to compute the root | ||
% mean square displacement of scattering particles during a given delay | ||
% | ||
% brownian: RMS= 6 * DV * tau; | ||
% DV(displacement variable)=Db (brownian diffusion coeff) | ||
% random_flow: RMS= DV^2 * tau^2; | ||
% DV = V (first moment of velocity distribution) | ||
% <custom>: any string other than 'brownian' or 'random_flow' will | ||
% be evaluate as is using Matlab evalf, make sure it uses | ||
% 'DV' as the flow related independent variable, tau is | ||
% indexed as tau(J). Any additional parameters can be | ||
% sent via "varargin" | ||
% | ||
% This file is part of Mesh-Based Monte Carlo | ||
% License: GPLv3, see http://mcx.sf.net for details | ||
% | ||
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if nargin<6, format='float'; end | ||
if nargin<5, lambda=785; end | ||
if nargin<4, DV=1e-7; end | ||
if nargin<3, disp_model='brownian'; end | ||
if nargin<2, tau=logspace(-7,-1,200); end | ||
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[mch_data,mch_header]=loadmch(fhist,format); | ||
temp=strfind(fhist,filesep); | ||
if isempty(temp), fhist=[pwd filesep fhist]; end | ||
temp=strfind(fhist,filesep); | ||
lastslash=temp(end); | ||
sim_label=fhist(lastslash+1:end-4); | ||
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[mua,mus,g,n]=load_mc_prop([fhist(1:lastslash) filesep 'prop_' sim_label '.dat']); | ||
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if (mch_header.recordnum-2)~=(2*mch_header.medianum), | ||
fprintf('History file does not contain momentum transfer information \n'); | ||
g1=-1; | ||
return; | ||
end | ||
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if strcmp(disp_model,'brownian'), | ||
disp_str='rmsdisp=6*DV.*tau(J);'; | ||
elseif strcmp(disp_model,'random_flow'), | ||
disp_str='rmsdisp=DV.^2.*tau(J).^2;'; | ||
else | ||
disp_str=['rmsdisp=' disp_model ';']; | ||
end | ||
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k0=2*pi*n/(lambda*1e-6); | ||
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g1=zeros(mch_header.detnum,length(tau)); | ||
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for I=1:mch_header.detnum, | ||
idx= find(mch_data(:,1)==I); | ||
fprintf('Processing detector %.0f: %.0f photons\n',I,length(idx)); | ||
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for J=1:length(tau), | ||
eval(disp_str); | ||
g1(I,J)=sum(exp(-(k0.^2.*rmsdisp/3)*mch_data(idx,(3+mch_header.medianum):end)'-mua*mch_data(idx,3:(3+mch_header.medianum-1))')); | ||
end | ||
g1(I,:)=g1(I,:)./max(g1(I,:)); | ||
end | ||
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