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the source and tallying the number penetrating the shield ften, the number of particles in a physical source is very large, say more than 1015 , so N is typically much smaller than the physical number of particles Because the process is a linear one, if N particles produce k penetrating particles, one can infer (at the end of the simulation) that a physical source of Q particles will produce Q(k/N ) penetrating particles It is often convenient to do this normalization at the beginning of the transport procedure rather than at the end (The physical source strength, Q, might be the number of neutrons produced by a nuclear reactor over some time period, for example, or the number of X-rays from a medical imaging machine) The user speci es a source strength Q and then, instead of assigning weight 1 to the computer particle, representing one physical particle, assigns a weight Q to the computer particle, representing Q physical particles Once the user starts viewing a computer particle as w physical particles, then it is a short intuitive leap to variance reduction For instance, a 2:1 split can be interpreted as separating the w particles into two groups of particles each having w/2 particles The average physics is preserved because there still are w physical particles after the split In practice, this concept is generalized and as long as the expected weight (ie, the expected number of physical particles) is preserved, then the average physics is preserved and the simulation means will be unbiased This chapter will rely on this intuitive concept, though proving this intuitive notion is not always trivial [12, 8].

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