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[feat] add missing demo_mcxlab_replay_traj.m script
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
% MCXLAB - Monte Carlo eXtreme for MATLAB/Octave by Qianqina Fang | ||
% | ||
% In this example, we show the most basic usage of MCXLAB. | ||
% | ||
% This file is part of Monte Carlo eXtreme (MCX) URL:http://mcx.sf.net | ||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
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clear cfg cfgs; | ||
cfg.nphoton = 1e6; | ||
cfg.vol = uint8(ones(60, 60, 60)); | ||
cfg.srcpos = [30 30 0]; | ||
cfg.srcdir = [0 0 1]; | ||
cfg.gpuid = 1; | ||
% cfg.gpuid='11'; % use two GPUs together | ||
cfg.autopilot = 1; | ||
cfg.issrcfrom0 = 1; | ||
cfg.prop = [0 0 1 1; 0.005 1 0 1.37]; | ||
cfg.tstart = 0; | ||
cfg.tend = 5e-9; | ||
cfg.tstep = 5e-10; | ||
cfg.issaveexit = 1; | ||
% calculate the flux distribution with the given config | ||
cfg.detpos = [15 30 0 2]; | ||
[flux, detp, vol, seeds] = mcxlab(cfg); | ||
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newcfg = cfg; | ||
newcfg.seed = seeds.data; | ||
newcfg.outputtype = 'jacobian'; | ||
newcfg.detphotons = detp.data; | ||
newcfg.maxjumpdebug = 29371108; | ||
[flux2, detp2, vol2, seeds2, traj2] = mcxlab(newcfg); | ||
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jac = sum(flux2.data, 4); | ||
imagesc(log10(abs(squeeze(jac(:, 30, :))))); | ||
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figure; | ||
newtraj = mcxplotphotons(traj2); | ||
title('photon trajectories'); | ||
idx = find(diff(newtraj.id)); | ||
% idx=[idx; length(newtraj.id)]; | ||
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figure; | ||
subplot(121); | ||
pos = newtraj.pos(idx, :); | ||
plot3(pos(:, 1), pos(:, 2), pos(:, 3), 'o'); | ||
hold on; | ||
plotmesh(detp2.p, 'r.'); | ||
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[tf, loc] = ismember(detp2.p, newtraj.pos([idx; end], :), 'rows'); | ||
detp2.p(1:2, :); | ||
newtraj.pos(idx(loc(1:2)), :); | ||
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title('last position of detected photons'); | ||
subplot(122); | ||
pos = newtraj.pos(idx + 1, :); | ||
plot3(pos(:, 1), pos(:, 2), pos(:, 3), 'o'); | ||
title('launch position of each photon'); | ||
hold on; |