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In the Land of ... hand, the ef ciency (fom) is dramatically improved and every calculation with p 09 passes MCNP s ten statistical checks ([23], see also Section 1019) In particular, note that the tail slope estimate (k > 4) is indicating at least three nite moments for all calculations, so that use of the central limit theorem is possible, unlike the calculations in Table 101 The last line shows that even with a very poor choice of a very high transform parameter, the ail slope indicates that the variance is nite Elaborating a bit more, using the central limit theorem requires at least two nite moments Eventually, the high score tail of the density f (x) must decrease faster than 1/x 3 (slope 3), or else the second moment, x 2 f (x) dx, will not be nite Note that it is even better if the high score tail of the density f (x) decreases faster than 1/x 5 (slope 5), so that four nite moments exist When four moments exist, not only is the central limit theorem applicable, but also the sample variance is usually a good estimate of the true variance used in the central limit theorem Valid con dence intervals are thus much more likely when four moments exist A complete print (event log) of the largest scoring history for p = 06 indicates that one of the (relatively rare) high-energy 14 MeV source neutrons is responsible for the largest score At this point, one would attempt to bias the sampling of the source so that more 14 MeV neutrons were sampled, with correspondingly smaller weights One could proceed by using the weight window generator to estimate an energy-dependent weight window, then adjust the source energy bias so that the source particles are within their space-energy weight windows Space does not permit description here, but see [3] for an illustration of source energy bias and space-energy weight windows. This chapter has shown how to get particles through a bulk concrete shield, but almost none of the penetrating particles will have just the right angle to stream up the void in Figure 101 Let the analog collision kernel be C(E, E , ) for a particle entering collision at E, and exiting at E , (The collision occurs at one spatial point in an instant of time, so space and time variables do not change upon collision) Using the expected score function I (E , ) one would like to sample from the iased collision density (given that exactly one particle is known to exit the collision) C(E, E, )= C(E, E , )I (E , ) C(E, E , )I (E , )dE d (1017) 3/9 In NET Framework Using Barcode printer for VS Related: NET WinForms Codabar Generating , Word Code 39 Generator , Generate Data Matrix ASPNET. Professional Barcode SDK to Generate Bar Code in WinForms Crystal Reports, C#.NET, . Support thermal printer to ensure best image printout ven on low-resolution printers. 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