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MCCL FAQ
You want to generate results that have a relative error < 3-5%. Relative error is the Standard Deviation divided by the Mean. To generate Standard Deviation estimates, set "TallySecondMoment" to true for each detector of interest in the DetectorInputs portion of the infile and run the simulation. In the MATLAB script files that post-process the MCCL results, the Standard Deviation is determined but not plotted. In the script "load_results_script", you can access the these values by "results{di}.ROfRho.Stdev" if, for example, you specified an ROfRho detector in your infile.
Currently MultiLayerTissue assumes an air layer above and below the tissue layers. However, you can make the bottom tissue layer as thick as you'd like.
Adding TDiffuseDetectorInput into the list of Detector Inputs in the infile will provide output of the photon weight lost out the bottom of the tissue. Or setting TrackStatistics to true in the Options portion of the infile will generate a statistics.txt file that lists the number of photons out the bottom of the tissue.
Yes! This is useful when you'd like to determine R(rho) for various rho bin sizes, numbers or spans.
Detector results as a function of rho, e.g. ROfRho, are determined using concentric circle surface detectors. In the infile, specifying a Rho Start=0, Stop=10 and Count=101 designates 100 (1 less than Count) surface rings with radii going from [0-0.1]mm, [0.1-0.2]mm, ..., [9.9-10.0]mm. The weight of all photons collected out a ring are summed and normalized by the total number of photons launched and the surface area of the ring. This provides a reflectance estimate designated at the midpoint of the ring, per square mm.
Note that to use rho-dependent detectors, the source and tissue definitions need to be axi-symmetric about the z-axis. Therefore, an angled source defined in the infile along with an ROfRho detector input will not make sense. We have validation checks in the software to make sure the source, tissue and detectors are consistently defined.
Virtual Photonics Technology Initiative
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