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Particle index pt.pidx. Each particle is assigned a unique index starting from 1 up to the total number of particles. This expression can be used as an input argument to a function. For example, randomnormal(pt.pidx) would sample pseudorandom numbers from a normal distribution with unit variance. The random numbers would be distinct for each particle.
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Particle release feature pt.prf. If there are multiple release features in a model, it is useful to be able to visualize how the particles mix together based on their initial release position. Particles from each release feature are assigned a unique integer corresponding to that feature, starting at 1.
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Release time pt.rti. This indicates when each particle first enters the modeling domain. It works for both primary and secondary particles.
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Stop time pt.st. Using the difference between the release time and stop time, it is easy to compute the residence time of each particle.
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Total number of particles pt.Nt. This includes primary and secondary particles, those that have not been released and those that have disappeared.
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Total number of particles in selection pt.Nsel. If a selection has been applied to the Particle dataset, the number of particles in that selection can be evaluated.
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Transmission probability pt.alpha. Often the transmission probability is the main quantity of interest in a particle tracing model. As with the number of particles in selection pt.Nsel, the Particle dataset should be assigned a selection consisting of a set of domains or boundaries in the model.
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